DIFFERENTIAL EXPRESSION OF MOLECULES ASSOCIATED WITH INTRA-CEREBRAL HEMORRHAGE

Abstract
Methods are provided for evaluating a stroke, for example for determining whether a subject has had a hemorrhagic stroke, determining the severity or likely neurological recovery of a subject who has had a hemorrhagic stroke, and determining a treatment regimen for a subject who has had a hemorrhagic stroke, as are arrays and kits that can be used to practice the methods. In particular examples, the method includes screening for expression of hemorrhagic stroke related genes (or proteins), such as genes (or proteins) involved in suppression of the immune response, genes (or proteins) involved in vascular repair, genes (or proteins) involved in the acute inflammatory response, genes (or proteins) involved in cell adhesion, genes (or proteins) involved in hypoxia, genes (or proteins) involved in signal transduction, and genes (or proteins) involved in the response to the altered cerebral microenvironment. Arrays and kits are provided that can be used in the disclosed methods. Also provided are methods of identifying one or more agents that alter the activity (such as the expression) of a hemorrhagic stroke-related molecule.
Description
FIELD

This application relates to methods of evaluating a stroke, methods of identifying a treatment modality for a subject who has had a hemorrhagic stroke, methods of identifying compounds that alter the activity of a hemorrhagic stroke-related molecule, as well as arrays and kits that can be used to practice the disclosed methods.


BACKGROUND

Stroke is the third leading cause of death and the leading cause of adult disability in developed countries (Simons et al., Stroke 29:1341-6, 1998; Adams et al., Ischemic Cerebrovascular Disease. New York: Oxford, 2001). Strokes are caused by an interruption of blood flow to the brain, by either an intravascular occlusion (such as an arterial thrombus) or a hemorrhage. A hemorrhagic stroke occurs when a blood vessel ruptures and leaks blood into (intracerebral hemorrhage) or around the brain (subarachnoid hemorrhage), and accounts for about 10-15% of strokes. The American Heart Association estimates that there are approximately three million stroke survivors in the United States, most of whom are disabled. Despite the prevalence and burden of this disease, stroke precipitants and pathophysiological mechanisms in individual patients are often unknown. It is also difficult to accurately predict whether a stroke will lead to only minor neurological sequalae or more serious medical consequences.


Gene expression profiling involves the study of mRNA levels in a tissue sample to determine the expression levels of genes that are expressed or transcribed from genomic DNA. Following a stroke, released brain antigens can be detected in the blood. Such antigens include S100B, neuron specific enolase (NSE), and glial fibrillary acid protein (GFAP), although S100B and GFAP are of low sensitivity for early stroke diagnosis, and NSE and myelin basic protein (MBP) MBP are non-specific (Lamers et al., Brain. Res. Bull. 61:261-4, 2003). Four soluble factors that have demonstrated moderate sensitivity and specificity for the diagnosis of stroke include two markers of inflammation (matrix metalloproteinase-9 and vascular cell adhesion molecule), one marker of glial activation (S100beta) and one thrombosis marker (von Willebrand factor) (Lynch et al., Stroke 35:57-63, 2004).


SUMMARY

Although stroke is one of the leading causes of morbidity and mortality in developed countries, methods for rapidly and accurately determining whether a subject has had a stroke are expensive and invasive. Therefore, new methods are needed for evaluating a stroke, for example for determining whether the subject has suffered a stroke, and determine what type of stroke the subject had (e.g. ischemic or hemorrhagic). For example, methods are needed to determine whether a hemorrhagic stroke has occurred, for determining the severity of the stroke or the likely neurological recovery of the subject who had a hemorrhagic stroke, or combinations thereof. In some examples, the hemorrhagic stroke is an intracerebral hemorrhagic (ICH) stroke. In particular examples, the disclosed methods offer a potentially lower cost alternative to expensive imaging modalities (such as MRI and CT scans), can be used in instances where those imaging modalities are not available (such as in field hospitals), and can be more convenient than placing individuals in scanners (for example for subjects who can not be subjected to MRI, such as those having certain types of metallic implants in their bodies).


Using these methods, appropriate therapy protocols for subjects who have had a hemorrhagic stroke can be identified and administered. For example, because the results of the disclosed methods are highly reliable predictors of the hemorrhagic nature of the stroke, the results can also be used (alone or in combination with other clinical evidence and brain scans) to determine whether surgery to evacuate the blood clot, administration of an anti-hypertensive agent, administration of a coagulant, management of increased intracranial pressure, prophylaxis of seizures, or combinations thereof, should be used to treat the subject. In certain examples, antihypertensives or blood clotting therapy (or both) is given to the subject once the results of the differential expression assay are known if the assay provides an indication that the stroke is hemorrhagic in nature.


The inventors have identified changes in gene expression in peripheral blood mononuclear cells (PBMCs) that allow one to evaluate a stroke, for example to determine whether a subject has had a hemorrhagic or ischemic stroke, to determine the severity of a hemorrhagic stroke, to determine the likely neurological recovery of the subject, or combinations thereof. For example, such methods can be used to determine if the subject has had an intracerebral hemorrhagic stroke, and not an ischemic stroke. The disclosed methods allow one to screen many genes simultaneously and serially and only a relatively small amount of cell or tissue sample is needed. Changes in gene expression were observed in at least 25 genes, at least 30 genes, at least 119 genes, at least 316 genes, at least 446 genes, or even at least 1263 genes as detected by 37-1500 gene probes depending on sensitivity and specificity of the analysis used and the comparative sample (whether control or ischemic stroke). In particular examples, subjects who had an intracerebral hemorrhagic stroke showed altered gene expression in IL1R2 and amphiphysin (and in some examples also CD163, TAP2, granzyme M and haptoglobin) or any combinations thereof, such as a change in expression in at least 1, at least 2, at least 3, at least 4, at least 5, or all 6 of these genes. In some examples, subjects who had a hemorrhagic stroke showed altered gene expression in at least four of the following seven classes of genes: genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction. In some examples, subjects who had a hemorrhagic stroke showed increased gene expression in at least these seven classes of genes.


The disclosed gene expression fingerprint of hemorrhagic stroke (such as intracerebral hemorrhagic stroke) enables methods of evaluating a stroke. The disclosed methods are the first that permit accurate diagnosis of a hemorrhagic stroke (such as an intracerebral hemorrhagic stroke) using PBMCs with high sensitivity and specificity. In some examples, the disclosed methods are at least 75% sensitive (such as at least 80% sensitive or at least 90% sensitive) and at least 80% specific (such as at least 85% specific, at least 95% specific, or 100% specific) for identifying those subjects who have suffered an intracerebral hemorrhagic stroke, for example within the past 72 hours. In particular examples, the disclosed methods are at least 75% sensitive and 100% specific for predicting the likelihood of neurological recovery of a subject who has had an intracerebral hemorrhagic stroke.


In some examples, the method involves detecting patterns of increased protein expression, decreased protein expression, or both. Such patterns of expression can be detected either at the nucleic acid level (such as quantitation of mRNAs associated with protein expression) or the protein level (such as quantitative spectroscopic detection of proteins). Certain methods involve not only detection of patterns of expression, but detection of the magnitude of expression (increased, decreased, or both), wherein such patterns are associated with the subject having had a hemorrhagic stroke, or is associated with predicted clinical sequalae, such as neurological recovery following a hemorrhagic stroke.


The disclosed methods can be performed on a subject who is suspected of having had a stroke, for example prior to radiographic investigation. For example, the disclosed methods can be used to distinguish subjects having an ICH from subjects having an ischemic stroke. In another example, the method is performed on a subject known to have had a hemorrhagic stroke, as the disclosed assays permit early and accurate stratification of risk of long-lasting neurological impairment.


In one example, the method of evaluating a stroke includes determining whether a subject has changes in expression in four or more hemorrhagic stroke-associated molecules that comprise, consist essentially of, or consist of, sequences (such as a DNA, RNA or protein sequence) involved in acute inflammatory response, cell adhesion, suppression of the immune response, hypoxia, hematoma formation or vascular repair, response to the altered cerebral microenvironment, and signal transduction.


In other examples, hemorrhagic stroke-associated molecules comprise, consist essentially of, or consist of, IL1R2, amphiphysin, TAP2, CD163, granzyme M, and haptoglobin, or any 1, 2, 3, 4, 5, or 6 of these molecules (such as IL1R2, amphiphysin, and TAP2). For example, hemorrhagic stroke-associated molecules can comprise, consist essentially of, or consist of, 4 or more, such as 5 or more, 10 or more, 15 or more, 20 or more, 25 or more, 30 or more, 60 or more, 100 or more, 110 or more, 119 or more, 316 or more, 446 or more, 500 or more, 1000 or more, 1200 or more, or 1263 or more of the nucleic acid or protein sequences listed in Tables 2-8 and 15-16. Any of the identified sequences can be used in combination with such sets or subsets of sequences.


In a particular example, evaluating a stroke includes detecting differential expression in at least four hemorrhagic stroke-related molecules of the subject, such as any combination of at least four genes (or the corresponding proteins) listed in any of Tables 2-8 and 15-16, wherein the presence of differential expression of at least four hemorrhagic-stroke related molecules indicates that the subject has had a hemorrhagic stroke, such as an intracerebral hemorrhagic stroke. Therefore, such methods can be used to diagnose a hemorrhagic stroke, such as an ICH stroke. In particular examples, the at least four hemorrhagic-stroke related molecules include at least one of IL1R2, amphiphysin, TAP2, CD163, granzyme M, and haptoglobin, such as at least 2, at least 3, at least 4, at least 5 or at least 6 of such molecules. For example, the method can include determining if the subject has increased gene (or protein) expression of at least one of IL1R2, haptoglobin, amphiphysin, or CD163, optionally in combination with determining if the subject has altered gene (or protein) expression of any other combination of other hemorrhagic stroke-associated molecules, such as any combination of at least 2 other genes (for example any combination of at least 3, at least 5, at least 10, at least 20, at least 50, at least 100, at least 200, or even at least 500 genes) listed in Tables 2-8 and 15-16, such as decreased expression of TAP2 and granzyme M.


In a particular example, differential expression is detected by determining if the subject has increased gene (or protein) expression of at least one of IL1R2, haptoglobin, amphiphysin, or CD163, and determining if the subject has decreased gene (or protein) expression of at least one of TAP2 or granzyme M. For example, differential expression can be detected by determining if the subject has increased gene (or protein) expression of IL1R2, haptoglobin, amphiphysin, and CD163, and determining if the subject has decreased gene (or protein) expression of TAP2 and granzyme M, wherein the presence of differential expression of at least four of these molecules indicates that the subject has had a hemorrhagic stroke.


In one example, the method includes determining if the subject has an increase or decrease in gene expression in any combination of at least four of the genes listed in Tables 2-8 and 15-16, for example an increase in at least 5, at least 10, at least 15, at least 20, at least 25, or at least 30 of the genes listed in Tables 2-8 and 15-16. An increase or decrease in expression in any combination of four or more of the genes listed in Tables 2-8 and 15-16 (or the corresponding proteins), and particularly any combination of at least one gene (or protein) from each of these classes of genes: genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction, indicates that the subject has had an ICH.


In one example, the method of evaluating a stroke includes determining if the subject has a change in gene expression (such as an increase or decrease) in any combination of at least 4 of the 47 genes listed in Table 2, for example a change in expression in at least 10, at least 20, at least 30, at least 40, or at least 45 of the probes listed in Tablet. Any one of the set of genes can be identified by a single one or the genes listed in Table 2. Any one of the genes (or proteins) in Table 2 can be combined with any other combination of the genes (or proteins) in Table 2 to produce a combination or subcombination of genes. A change in expression in any combination of four or more of the genes listed in Table 2 (or the corresponding proteins) indicates that the subject has had a hemorrhagic stroke, such as an ICH.


In another example, the method of evaluating a stroke includes determining if the subject has a change in gene expression (such as an increase or decrease) in any combination of at least 4 of the genes listed in Table 5 or 8, for example an increase or decrease in any combination of at least 10, at least 15, at least 20, at least 25, at least 100, at least 200, at least 300, or at least 316 of the genes listed in Table 5 or 8. Any one of the set of genes (or proteins) can be identified by a single one or the genes (or proteins) listed in Table 5 or 8. Any one of the genes (or proteins) in Table 5 or 8 can be combined with any other combination of the genes (or proteins) in Table 5 or 8 to produce a combination or subcombination of genes. A change in expression in any combination of four or more of the genes listed in Table 5 or 8 (or the corresponding proteins) indicates that the subject has had a hemorrhagic stroke, such as an ICH.


The disclosed methods can be used in combination with methods that permit diagnosis of a stroke. Such methods can be performed before or during classification of a stroke (e.g. to determine if the stroke is ischemic or hemorrhagic). For example, the method can include determining if there is significant upregulation in at least 4 of the 15 genes/proteins listed in Table 14, wherein significant upregulation in 4 or more of the 15 genes/proteins listed in Table 14 (such as at least 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, or 15) of the genes/proteins listed in Table 14, indicates that the subject has suffered a stroke. However, such genes/proteins do not classify the stroke as ischemic or hemorrhagic. Therefore, using the methods provided herein, use of at least four (such as at least 10 or at least 30) of the genes/proteins listed in Tables 2-8 and 15-16 can be used to classify a stroke as hemorrhagic while use of at least four (such as at least 10 or at least 25) the genes/proteins listed in Tables 15 and 17-18 can be used to classify a stroke as ischemic.


In some examples, the amount of gene (or protein) expression in the subject is compared to a control, such as the gene (or protein) expression of a subject who has not had a hemorrhagic stroke, wherein an increase or decrease in expression in any combination of four or more hemorrhagic stroke related genes listed in Tables 2-8 and 15-16 compared to the control indicates that the subject has experienced an hemorrhagic stroke. For example, an increase or decrease in expression in any combination of at least one gene (or the corresponding protein) from each of the following classes, genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction, compared to the control indicates that the subject has experienced a hemorrhagic stroke, such as an ICH.


In some examples, the amount of gene (or protein) expression in the subject is compared to a control, such as the gene (or protein) expression of a subject who has had an ischemic stroke or a subject who has not had a stroke, wherein an increase or decrease in expression in any combination of four or more hemorrhagic stroke related genes listed in Tables 2-8 and 15-16 compared to the control indicates that the subject has experienced an hemorrhagic stroke.


In particular examples evaluating the stroke includes predicting a likelihood of severity of neurological sequalae of the hemorrhagic stroke, such as an intracerebral hemorrhagic stroke. In some examples, evaluating the stroke includes predicting a likelihood of neurological recovery of the subject. For example, if there is differential expression (such as increased expression) in at least four of the hemorrhagic-stroke related molecules listed in Tables 2-8 and 15-16 (such as differential expression of IL1R2, haptoglobin, amphiphysin, and TAP2), indicates that the subject has a higher risk of long-term adverse neurological sequalae and therefore a lower likelihood of neurological recovery. In another example, detecting a change in expression in any combination of 10 or more of the genes listed in Tables 2-8 and 15-16 (or the corresponding proteins) indicates that the subject has a higher risk of long-term adverse neurological sequalae and therefore a lower likelihood of neurological recovery. In yet another example, detecting a change in expression in any combination of at least 10 of the 47 of the genes listed in Table 2, at least 10 of the 1263 of the genes listed in Table 3, at least 10 of the 119 of the genes listed in Table 4, at least 10 of the 30 of the genes listed in Table 5, at least 10 of the 446 of the genes listed in Table 6, at least 10 of the 25 of the genes listed in Table 7, at least 4 of the 5 of the genes listed in Table 15, or at least 10 of the 18 of the genes listed in Table 16, for example an increase or decrease in any combination of at least 20, at least 50, at least 100, at least 200, at least 300, or at least 500 of the genes listed in Tables 2-8 and 15-16 indicates that the subject has a higher risk of long-term adverse neurological sequalae and therefore a lower likelihood of neurological recovery. In some examples, differential expression in the subject is compared to differential expression of a subject who has not had an hemorrhagic stroke, wherein a change in expression in at least four the hemorrhagic-stroke related molecules listed in Tables 2-8 and 15-16, such as any combination of 10 or more of the genes listed in Tables 2-8 and 15-16 (or the corresponding proteins) compared to the control indicates that the subject has a higher risk of long-term adverse neurological sequalae and therefore a lower likelihood of neurological recovery. In some examples, the amount of expression is quantitated, wherein a greater change in expression in at least four the hemorrhagic-stroke related molecules listed in Tables 2-8 and 15-16 compared to the control indicates that the subject has a higher risk of long-term adverse neurological sequalae and therefore a lower likelihood of neurological recovery.


The disclosed methods can further include administering to a subject a treatment to avoid or reduce hemorrhagic injury if the presence of differential expression indicates that the subject has had a hemorrhagic stroke. For example, a change in expression in at least four hemorrhagic stroke related molecules, such as a combination that includes at least four of the molecules listed in Tables 2-8 and 15-16, indicates that the subject has had a hemorrhagic stroke (and not an ischemic stroke) and is in need of the appropriate therapy, such as surgery to evacuate the blood clot, monitoring and treatment of intracranial pressure, brain swelling, and seizures, administration of a blood coagulant, administration of an anti-hypertensive (for example to treat high blood pressure), or combinations thereof. Therefore, the disclosed methods differentiate hemorrhagic (such as intracerebral hemorrhage) from ischemic stroke, and allow one to administer the appropriate therapy to the subject. In some examples, the amount of differential expression in the subject is compared to the expression of a subject who has not had a hemorrhagic stroke, wherein a change in expression in at least four hemorrhagic stroke related molecules listed in Tables 2-8 and 15-16 (or the corresponding proteins) compared to the control indicates that the subject would benefit from one or more of the therapies described above. In some examples, the amount of differential expression in the subject is compared to the expression of a subject who has had an ischemic stroke, wherein a change in expression in at least four hemorrhagic stroke related molecules listed in Tables 2-8 and 15-16 (or the corresponding proteins) compared to the control indicates that the subject would benefit from one or more of the therapies described above.


Differential expression can be detected at any time following the onset of clinical signs and symptoms that indicate a potential stroke, such as within 24 hours, within 72 hours, within 2-11 days, within 7-14 days, or within 90 days of onset of clinical signs and symptoms that indicate a potential stroke. Examples of such signs and symptoms include, but are not limited to: headache, sensory loss (such as numbness, particularly confined to one side of the body or face), paralysis (such as hemiparesis), pupillary changes, blindness (including bilateral blindness), ataxia, memory impairment, dysarthria, somnolence, and other effects on the central nervous system recognized by those of skill in the art.


In particular examples, the disclosed methods include isolating nucleic acid molecules (such as mRNA molecules) or proteins from PBMCs of a subject suspected of having had a hemorrhagic stroke (or known to have had a hemorrhagic stroke), for example an intracerebral hemorrhagic stroke. The isolated nucleic acid or protein molecules can be contacted with or applied to an array, for example an array that includes oligonucleotide probes (or probes that can bind proteins, such as an antibody) capable of hybridizing to hemorrhagic stroke-associated genes (or proteins). In one example, proteins isolated from a biological sample are quantitated, for instance by quantitative mass spectroscopy, to determine whether proteins associated with hemorrhagic stroke or prognosis of hemorrhagic stroke are upregulated, downregulated, or both. In some examples, PBMCs are obtained within at least the previous 72 hours of a time when the stroke is suspected of occurring, such as within the previous 24 hours.


Also provided herein are arrays that include molecules (such as oligonucleotide probes or antibody probes that specifically hybridize or bind to at least four hemorrhagic stroke-related sequences) that permit evaluation of a stroke. For example, the array can include or consist of probes (such as an oligonucleotide probes or antibodies) specific for the hemorrhagic-stroke related molecules provided in Tables 2-8 and 15-16, such as probes capable of hybridizing or binding to genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction. Such arrays can permit quantitation of hemorrhagic stroke-related nucleic acid or protein sequences present in a sample, such as a sample that includes PBMC nucleic acid molecules or proteins. Kits including such arrays are also disclosed. Such arrays can further include probes that are specific for the molecules listed in Table 14, 17, 18, or combinations thereof.


Also provided in the present disclosure are methods of identifying one or more agents that alter the activity (such as the expression) of a hemorrhagic stroke-related molecule (for example a gene or protein), such as one or more of those listed in Tables 2-8 and 15-16. If desired, multiple test agents and multiple hemorrhagic stroke-related molecules can be screened at the same time. In one example, the method is used to screen the effect of one test agent on multiple hemorrhagic stroke-related molecules simultaneously (such as all of the hemorrhagic stroke-related molecules listed in any of Tables 2-8 and 15-16). In another example, the method is used to screen the effect of multiple test agents on one hemorrhagic stroke-related molecule, such as one of the molecules listed in Tables 2-8 and 15-16. In particular examples, the identified agent alters the activity of a hemorrhagic stroke-related molecule that is upregulated or downregulated following a hemorrhagic stroke. For example, the agent can normalize activity of a hemorrhagic stroke-related molecule that is upregulated or downregulated following a hemorrhagic stroke, such as by increasing the activity of a hemorrhagic stroke-related molecule that is down-regulated following a hemorrhagic stroke, or decreasing activity of a hemorrhagic stroke-related molecule that is upregulated following a hemorrhagic stroke. The disclosed methods can be performed in vitro (for example in a cell culture) or in vivo (such as in a mammal).


In one example, the test agent is an agent in pre-clinical or clinical trials or approved by a regulatory agency (such as the Food and Drug Administration, FDA), to treat hemorrhagic stroke. For example, the method can be used to determine if the agent alters the activity of one or more hemorrhagic stroke-related molecules that modifies response to treatment and can predict the best responders.


The disclosed methods can also be used in toxicogenomics, for example to identify genes or proteins whose expression is altered in response to medication-induced toxicity and side-effects. In one example, the disclosed hemorrhagic stroke-related molecules are screened to identify those whose activity is altered in response to an agent. For example, the disclosed hemorrhagic stroke-related molecules can be used determine if an agent promotes or induces an intracerebral hemorrhagic stroke. If the agent promotes or induces differential expression of at least four of the disclosed hemorrhagic stroke-related molecules (such as those listed in Tables 2-8 and 15-16) in an otherwise normal cell or mammal (for example as compared to a similar mammal not administered the test agent), this indicates that the agent may cause or promote an hemorrhagic stroke in vivo. Such a result may indicate that further studies of the agent are needed. In another example, cells from a subject who is to receive a pharmaceutical agent are obtained (such as PBMCs), and the pharmaceutical agent incubated with the cells as described above, to determine if the pharmaceutical agent causes or promotes differential expression of one or more hemorrhagic stroke-related molecules. Such a result would indicate that the subject may react adversely to the agent, or that a lower dose of the agent should be administered.


The disclosure also provides brain imaging tracers or white blood cell tracers for molecular imaging, such as imaging to determine if a subject has had a hemorrhagic stroke. Briefly, a labeled antibody that recognizes a hemorrhagic stroke-related molecule, such as one or more of those listed in Tables 2-8 and 15-16. In one example, the label is a fluorophore, radioisotope, or other compound that can be used in diagnostic imaging, such as a nuclear medicine radio-isotope (for example 99mTechnetium for use with single photon emission computed tomography, 18Fluorodeoxyglucose (18FDG) for use with positron emission tomography, or a paramagnetic contrast agent for magnetic resonance imaging). The labeled antibody can be administered to the subject, for example intravenously, and the subject imaged using standard methods.


The foregoing and other features of the disclosure will become more apparent from the following detailed description of a several embodiments.





BRIEF DESCRIPTION OF THE DRAWINGS


FIGS. 1A and 1B are graphs showing the relative amount of (A) IL1R2 and (B) amphiphysin expression in normal subjects and subjects who suffered a hemorrhagic stroke.



FIG. 2 is a bar graph showing the relative amount of amphiphysin expression in normal referent subjects and in subjects who suffered a hemorrhagic stroke 2-11 days before.





SEQUENCE LISTING

The nucleic acid sequences listed in the accompanying sequence listing are shown using standard letter abbreviations for nucleotide bases. Only one strand of each nucleic acid sequence is shown, but the complementary strand is understood as included by any reference to the displayed strand.


SEQ ID NOS: 1-2 are oligonucleotide sequences (forward and reverse, respectively) used to perform real-time PCR to determine expression levels of interleukin-1 receptor, type II (IL1R2).


SEQ ID NOS: 3-4 are oligonucleotide sequences (forward and reverse, respectively) used to perform real-time PCR to determine expression levels of IL1R2.


SEQ ID NOS: 5-6 are oligonucleotide sequences (forward and reverse, respectively) used to perform real-time PCR to determine expression levels of amphiphysin.


SEQ ID NOS: 7-8 are oligonucleotide sequences (forward and reverse, respectively) used to perform real-time PCR to determine expression levels of CD163.


SEQ ID NOS: 9-10 are oligonucleotide sequences (forward and reverse, respectively) used to perform real-time PCR to determine expression levels of F5.


SEQ ID NOS: 11-12 are oligonucleotide sequences (forward and reverse, respectively) used to perform real-time PCR to determine expression levels of S100A9.


SEQ ID NOS: 13-14 are oligonucleotide sequences (forward and reverse, respectively) used to perform real-time PCR to determine expression levels of SEMA4C.


SEQ ID NOS: 15-16 are oligonucleotide sequences (forward and reverse, respectively) used to perform real-time PCR to determine expression levels of IRF1.


SEQ ID NOS: 17-18 are oligonucleotide sequences (forward and reverse, respectively) used to perform real-time PCR to determine expression levels of CD6.


SEQ ID NOS: 19-20 are oligonucleotide sequences (forward and reverse, respectively) used to perform real-time PCR to determine expression levels of CASC3.


SEQ ID NOS: 21-22 are oligonucleotide sequences (forward and reverse, respectively) used to perform real-time PCR to determine expression levels of NUCB1.


SEQ ID NOS: 23-24 are oligonucleotide sequences (forward and reverse, respectively) used to perform real-time PCR to determine expression levels of FDFT1.


DETAILED DESCRIPTION
Abbreviations and Terms

The following explanations of terms and methods are provided to better describe the present disclosure and to guide those of ordinary skill in the art in the practice of the present disclosure. The singular forms “a,” “an,” and “the” refer to one or more than one, unless the context clearly dictates otherwise. For example, the term “comprising a nucleic acid molecule” includes single or plural nucleic acid molecules and is considered equivalent to the phrase “comprising at least one nucleic acid molecule.” The term “or” refers to a single element of stated alternative elements or a combination of two or more elements, unless the context clearly indicates otherwise. As used herein, “comprises” means “includes.” Thus, “comprising A or B,” means “including A, B, or A and B,” without excluding additional elements. Dates of GenBank Accession Nos. referred to herein are the sequences available at least as early as Jul. 11, 2006.


Unless explained otherwise, all technical and scientific terms used herein have the same meaning as commonly understood to one of ordinary skill in the art to which this disclosure belongs. Although methods and materials similar or equivalent to those described herein can be used in the practice or testing of the present disclosure, suitable methods and materials are described below. The materials, methods, and examples are illustrative only and not intended to be limiting.


Amph: amphiphysin


FC: fold change


ICH: intracerebral hemorrhage


IL1R2: interleukin-1 receptor, type II


IS: ischemic stroke


PBMC: peripheral blood mononuclear cell


Real time PCR: real time polymerase chain reaction


TAP2: Transporter associated with antigen processing


Administration: To provide or give a subject an agent, such as an anti-hypertensive or a blood coagulation factor, by any effective route. Exemplary routes of administration include, but are not limited to, oral, injection (such as subcutaneous, intramuscular, intradermal, intraperitoneal, and intravenous), sublingual, rectal, transdermal, intranasal, vaginal and inhalation routes.


Amphiphysin (Amph): A src homology 3 domain-containing protein that links endocytic proteins to the clathrin-mediated endocytic sites. The presence of Amph antibodies in a subject has been associated with the paraneoplastic disorder stiff-person syndrome. The term amphiphysin includes any amphiphysin gene, cDNA, mRNA, or protein from any organism and that is an amphiphysin that can function in endocytosis. Amphiphysin sequences are publicly available. For example, GenBank Accession Nos: U07616 and AAA21865 disclose human amphiphysin nucleic acid and protein sequences, respectively and GenBank Accession Nos: Y13381 and CAA73808 disclose rat amphiphysin nucleic acid and proteins sequences, respectively.


In one example, an amphiphysin sequence includes a full-length wild-type (or native) sequence, as well as amphiphysin allelic variants, variants, fragments, homologs or fusion sequences that retain the ability to function in endocytosis. In certain examples, amphiphysin has at least 80% sequence identity, for example at least 85%, at least 90%, at least 95%, or at least 98% sequence identity to a native amphiphysin and retains amphiphysin biological activity. In other examples, amphiphysin has a sequence that hybridizes under very high stringency conditions to a sequence set forth in GenBank Accession No. U07616 or Y13381, and retains the ability to encode a protein having amphiphysin biological activity.


Amplifying a nucleic acid molecule: To increase the number of copies of a nucleic acid molecule, such as a gene or fragment of a gene, for example a region of a hemorrhagic stroke-associated gene. The resulting products are called amplification products or amplicons.


An example of in vitro amplification is the polymerase chain reaction (PCR), in which a biological sample obtained from a subject (such as a sample containing PBMCs) is contacted with a pair of oligonucleotide primers, under conditions that allow for hybridization of the primers to a nucleic acid molecule in the sample. The primers are extended under suitable conditions, dissociated from the template, and then re-annealed, extended, and dissociated to amplify the number of copies of the nucleic acid molecule. Other examples of in vitro amplification techniques include quantitative real-time PCR, strand displacement amplification (see U.S. Pat. No. 5,744,311); transcription-free isothermal amplification (see U.S. Pat. No. 6,033,881); repair chain reaction amplification (see WO 90/01069); ligase chain reaction amplification (see EP-A-320 308); gap filling ligase chain reaction amplification (see U.S. Pat. No. 5,427,930); coupled ligase detection and PCR (see U.S. Pat. No. 6,027,889); and NASBA™ RNA transcription-free amplification (see U.S. Pat. No. 6,025,134).


Quantitative real-time PCR is another form of in vitro amplifying nucleic acid molecules, enabled by Applied Biosystems (TaqMan PCR). The 5′ nuclease assay provides a real-time method for detecting only specific amplification products. During amplification, annealing of the probe to its target sequence generates a substrate that is cleaved by the 5′ nuclease activity of Taq DNA polymerase when the enzyme extends from an upstream primer into the region of the probe. This dependence on polymerization ensures that cleavage of the probe occurs only if the target sequence is being amplified. The use of fluorogenic probes makes it possible to eliminate post-PCR processing for the analysis of probe degradation. The probe is an oligonucleotide with both a reporter fluorescent dye and a quencher dye attached. While the probe is intact, the proximity of the quencher greatly reduces the fluorescence emitted by the reporter dye by Förster resonance energy transfer (FRET) through space. Probe design and synthesis has been simplified by the finding that adequate quenching is observed for probes with the reporter at the 5′ end and the quencher at the 3′ end.


Anti-hypertensive: An agent that can reduce or control hypertension (high blood pressure) in a mammal, such as a human. There are several classes of antihypertensives, each of which lowers blood pressure by a different means. Examples of such classes include diuretics (such as a thiazide diuretic), angiotensin-converting enzyme (ACE)-inhibitors, anti-adrenergics, calcium channel blockers, angiotensin II receptor antagonists, aldosterone antagonists, vasodilators, centrally acting adrenergic drugs, adrenergic neuron blockers, and herbals that provoke hypotension. Particular examples of thiazide or thiazide like diuretics include chlortalidone, epitizide, hydrochlorothiazide, chlorothiazide, indapamide and metolazone. Such agents can be administered to a subject to treat or prevent hemorrhagic stroke, such as an intracerebral hemorrhagic stroke.


Array: An arrangement of molecules, such as biological macromolecules (such as peptides or nucleic acid molecules) or biological samples (such as tissue sections), in addressable locations on or in a substrate. A “microarray” is an array that is miniaturized so as to require or be aided by microscopic examination for evaluation or analysis. Arrays are sometimes called DNA chips or biochips.


The array of molecules (“features”) makes it possible to carry out a very large number of analyses on a sample at one time. In certain example arrays, one or more molecules (such as an oligonucleotide probe) will occur on the array a plurality of times (such as twice), for instance to provide internal controls. The number of addressable locations on the array can vary, for example from at least four, to at least 10, at least 20, at least 30, at least 50, at least 75, at least 100, at least 150, at least 200, at least 300, at least 500, least 550, at least 600, at least 800, at least 1000, at least 10,000, or more. In particular examples, an array includes nucleic acid molecules, such as oligonucleotide sequences that are at least 15 nucleotides in length, such as about 15-40 nucleotides in length. In particular examples, an array consists essentially of oligonucleotide probes or primers which can be used to detect hemorrhagic stroke-associated sequences, such as any combination of at least four of those listed in Tables 5 or 8, such as at least 10, at least 20, at least 50, at least 100, at least 150, at least 160, at least 170, at least 175, at least 180, at least 185, at least 200, at least 400, at least 500, at least 700, at least 1000, at least 1100, or at least 1200 of the sequences listed in any of Tables 2-8 and 15-16. In some examples, an array includes oligonucleotide probes or primers which can be used to detect at least one gene from each of the following gene classes, genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction, such as at least 2, at least 3, at least 5, or even at least 10 genes from each of the classes of genes.


Within an array, each arrayed sample is addressable, in that its location can be reliably and consistently determined within at least two dimensions of the array. The feature application location on an array can assume different shapes. For example, the array can be regular (such as arranged in uniform rows and columns) or irregular. Thus, in ordered arrays the location of each sample is assigned to the sample at the time when it is applied to the array, and a key may be provided in order to correlate each location with the appropriate target or feature position. Often, ordered arrays are arranged in a symmetrical grid pattern, but samples could be arranged in other patterns (such as in radially distributed lines, spiral lines, or ordered clusters). Addressable arrays usually are computer readable, in that a computer can be programmed to correlate a particular address on the array with information about the sample at that position (such as hybridization or binding data, including for instance signal intensity). In some examples of computer readable formats, the individual features in the array are arranged regularly, for instance in a Cartesian grid pattern, which can be correlated to address information by a computer.


Protein-based arrays include probe molecules that are or include proteins, or where the target molecules are or include proteins, and arrays including nucleic acids to which proteins are bound, or vice versa. In some examples, an array consists essentially of antibodies to hemorrhagic stroke-associated proteins, such as any combination of at least four of those listed in Tables 5 or 8, such as at least 10, at least 20, at least 50, at least 100, at least 150, at least 160, at least 170, at least 175, at least 180, at least 185, at least 200, at least 400, at least 500, at least 700, at least 1000, at least 1100, or at least 1200 of the sequences listed in any of Tables 2-8 and 15-16. In particular examples, an array includes antibodies or proteins that can detect at least one protein from each of the following classes, genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction, such as at least 2, at least 3, at least 5, or even at least 10 genes from each class.


Binding or stable binding: An association between two substances or molecules, such as the hybridization of one nucleic acid molecule to another (or itself), the association of an antibody with a peptide, or the association of a protein with another protein or nucleic acid molecule. An oligonucleotide molecule binds or stably binds to a target nucleic acid molecule if a sufficient amount of the oligonucleotide molecule forms base pairs or is hybridized to its target nucleic acid molecule, to permit detection of that binding. For example a probe or primer specific for a hemorrhagic stroke-associated nucleic acid molecule can stably bind to the hemorrhagic stroke-associated nucleic acid molecule.


Binding can be detected by any procedure known to one skilled in the art, such as by physical or functional properties of the target: oligonucleotide complex. For example, binding can be detected functionally by determining whether binding has an observable effect upon a biosynthetic process such as expression of a gene, DNA replication, transcription, translation, and the like.


Physical methods of detecting the binding of complementary strands of nucleic acid molecules, include but are not limited to, such methods as DNase I or chemical footprinting, gel shift and affinity cleavage assays, Northern blotting, dot blotting and light absorption detection procedures. For example, one method involves observing a change in light absorption of a solution containing an oligonucleotide (or an analog) and a target nucleic acid at 220 to 300 nm as the temperature is slowly increased. If the oligonucleotide or analog has bound to its target, there is a sudden increase in absorption at a characteristic temperature as the oligonucleotide (or analog) and target disassociate from each other, or melt. In another example, the method involves detecting a signal, such as a detectable label, present on one or both nucleic acid molecules (or antibody or protein as appropriate).


The binding between an oligomer and its target nucleic acid is frequently characterized by the temperature (Tm) at which 50% of the oligomer is melted from its target. A higher (Tm) means a stronger or more stable complex relative to a complex with a lower (Tm).


CD163: A hemoglobin scavenger receptor. The term CD163 includes any CD163 gene, cDNA, mRNA, or protein from any organism and that is a CD163 that can function as a hemoglobin scavenger receptor. CD163 sequences are publicly available. For example, GenBank Accession Nos: Y18388 and CAB45233 disclose human CD163 nucleic acid and protein sequences, respectively and GenBank Accession Nos: NM053094 and NP444324 disclose mouse CD163 nucleic acid and proteins sequences, respectively.


In one example, a CD163 sequence includes a full-length wild-type (or native) sequence, as well as CD163 allelic variants, variants, fragments, homologs or fusion sequences that retain the ability to function as a hemoglobin scavenger receptor. In certain examples, CD163 has at least 80% sequence identity, for example at least 85%, 90%, 95%, or 98% sequence identity to a native CD163. In other examples, CD163 has a sequence that hybridizes under very high stringency conditions to a sequence set forth in GenBank Accession No. Y18388 or NM053094, and retains CD163 activity.


cDNA (complementary DNA): A piece of DNA lacking internal, non-coding segments (introns) and regulatory sequences which determine transcription. cDNA can be synthesized by reverse transcription from messenger RNA extracted from cells.


Clinical indications of stroke: One or more signs or symptoms that are associated with a subject having (or had) a stroke, such as a hemorrhagic stroke. Particular examples include, but are not limited to: severe headache, sensory loss (such as numbness, particularly confined to one side of the body or face), paralysis (such as hemiparesis), pupillary changes, blindness (including bilateral blindness), ataxia, memory impairment, dysarthria, somnolence, and other effects on the central nervous system recognized by those of skill in the art.


Intracerebral hemorrhagic strokes begin abruptly, and symptoms worsen as the hemorrhage expands. Nausea, vomiting, seizures, and loss of consciousness are common and can occur within seconds to minutes.


Coagulants: Agents that increase blood clotting. Coagulants can promote the formation of new clots, and stimulate existing clots to grow, for example by increasing the production of proteins necessary for blood to clot. Examples include, but are not limited to anti-thrombin, protein C, fresh frozen plasma, cryoprecipitate, and platelets. Administration of coagulants is one treatment for hemorrhagic stroke (such as an intracerebral hemorrhagic stroke), for example to prevent further strokes.


Complementarity and percentage complementarity: Molecules with complementary nucleic acids form a stable duplex or triplex when the strands bind, (hybridize), to each other by forming Watson-Crick, Hoogsteen or reverse Hoogsteen base pairs. Stable binding occurs when an oligonucleotide molecule remains detectably bound to a target nucleic acid sequence under the required conditions.


Complementarity is the degree to which bases in one nucleic acid strand base pair with the bases in a second nucleic acid strand. Complementarity is conveniently described by percentage, that is, the proportion of nucleotides that form base pairs between two strands or within a specific region or domain of two strands. For example, if 10 nucleotides of a 15-nucleotide oligonucleotide form base pairs with a targeted region of a DNA molecule, that oligonucleotide is said to have 66.67% complementarity to the region of DNA targeted.


In the present disclosure, “sufficient complementarity” means that a sufficient number of base pairs exist between an oligonucleotide molecule and a target nucleic acid sequence (such as a stroke-related sequence, for example any of the sequences listed in Tables 2-8 and 14-18) to achieve detectable binding. When expressed or measured by percentage of base pairs formed, the percentage complementarity that fulfills this goal can range from as little as about 50% complementarity to full (100%) complementary. In general, sufficient complementarity is at least about 50%, for example at least about 75% complementarity, at least about 90% complementarity, at least about 95% complementarity, at least about 98% complementarity, or even at least about 100% complementarity.


A thorough treatment of the qualitative and quantitative considerations involved in establishing binding conditions that allow one skilled in the art to design appropriate oligonucleotides for use under the desired conditions is provided by Beltz et al. Methods Enzymol. 100:266-285, 1983, and by Sambrook et al. (ed.), Molecular Cloning: A Laboratory Manual, 2nd ed., vol. 1-3, Cold Spring Harbor Laboratory Press, Cold Spring Harbor, N.Y., 1989.


DNA (deoxyribonucleic acid): A long chain polymer which includes the genetic material of most living organisms (some viruses have genes including ribonucleic acid, RNA). The repeating units in DNA polymers are four different nucleotides, each of which includes one of the four bases, adenine, guanine, cytosine and thymine bound to a deoxyribose sugar to which a phosphate group is attached. Triplets of nucleotides, referred to as codons, in DNA molecules code for amino acid in a polypeptide. The term codon is also used for the corresponding (and complementary) sequences of three nucleotides in the mRNA into which the DNA sequence is transcribed.


Differential expression: A difference, such as an increase or decrease, in the conversion of the information encoded in a gene (such as a hemorrhagic stroke related gene) into messenger RNA, the conversion of mRNA to a protein, or both. In some examples, the difference is relative to a control or reference value, such as an amount of gene expression that is expected in a subject who has not had a hemorrhagic stroke, an amount expected in a subject who has had an ischemic stroke, or an amount expected in a subject who has had a hemorrhagic stroke. Detecting differential expression can include measuring a change in gene or protein expression, such as a change in expression of one or more hemorrhagic stroke-related genes or proteins.


Downregulated or inactivation: When used in reference to the expression of a nucleic acid molecule (such as a hemorrhagic stroke-associated nucleic acid molecule), such as a gene, refers to any process which results in a decrease in production of a gene product. A gene product can be RNA (such as mRNA, rRNA, tRNA, and structural RNA) or protein. Therefore, gene downregulation or deactivation includes processes that decrease transcription of a gene or translation of mRNA.


Examples of processes that decrease transcription include those that facilitate degradation of a transcription initiation complex, those that decrease transcription initiation rate, those that decrease transcription elongation rate, those that decrease processivity of transcription and those that increase transcriptional repression. Gene downregulation can include reduction of expression above an existing level. Examples of processes that decrease translation include those that decrease translational initiation, those that decrease translational elongation and those that decrease mRNA stability.


Gene downregulation includes any detectable decrease in the production of a gene product. In certain examples, production of a gene product decreases by at least 2-fold, for example at least 3-fold or at least 4-fold, as compared to a control (such an amount of gene expression in a normal cell). For example these genes listed in Tables 2-4 and 6-7 having a negative t-statistic value and the genes listed in Table 16 with a negative FC value are downregulated in subjects who have had an intracerebral hemorrhagic stroke. In one example, a control is a relative amount of gene expression or protein expression in a PBMC in a subject who has not suffered a hemorrhagic stroke or in a subject who has had an ischemic stroke.


Evaluating a stroke: To determine whether a hemorrhagic stroke has occurred in a subject, to determine the severity of a hemorrhagic stroke, to determine the likely neurological recovery of a subject who has had a hemorrhagic stroke, or combinations thereof. In a particular example, includes determining whether the subject has had an ICH, for example and not an ischemic stroke.


Expression: The process by which the coded information of a gene is converted into an operational, non-operational, or structural part of a cell, such as the synthesis of a protein. Gene expression can be influenced by external signals. For instance, exposure of a cell to a hormone may stimulate expression of a hormone-induced gene. Different types of cells can respond differently to an identical signal. Expression of a gene also can be regulated anywhere in the pathway from DNA to RNA to protein. Regulation can include controls on transcription, translation, RNA transport and processing, degradation of intermediary molecules such as mRNA, or through activation, inactivation, compartmentalization or degradation of specific protein molecules after they are produced.


The expression of a nucleic acid molecule (such as a hemorrhagic stroke-associated nucleic acid molecule) can be altered relative to a normal (wild type) nucleic acid molecule. Alterations in gene expression, such as differential expression, includes but is not limited to: (1) overexpression; (2) underexpression; or (3) suppression of expression. Alternations in the expression of a nucleic acid molecule can be associated with, and in fact cause, a change in expression of the corresponding protein.


Protein expression (such as expression of a hemorrhagic stroke-associated protein) can also be altered in some manner to be different from the expression of the protein in a normal (wild type) situation. This includes but is not necessarily limited to: (1) a mutation in the protein such that one or more of the amino acid residues is different; (2) a short deletion or addition of one or a few (such as no more than 10-20) amino acid residues to the sequence of the protein; (3) a longer deletion or addition of amino acid residues (such as at least 20 residues), such that an entire protein domain or sub-domain is removed or added; (4) expression of an increased amount of the protein compared to a control or standard amount; (5) expression of a decreased amount of the protein compared to a control or standard amount; (6) alteration of the subcellular localization or targeting of the protein; (7) alteration of the temporally regulated expression of the protein (such that the protein is expressed when it normally would not be, or alternatively is not expressed when it normally would be); (8) alteration in stability of a protein through increased longevity in the time that the protein remains localized in a cell; and (9) alteration of the localized (such as organ or tissue specific or subcellular localization) expression of the protein (such that the protein is not expressed where it would normally be expressed or is expressed where it normally would not be expressed), each compared to a control or standard. Controls or standards for comparison to a sample, for the determination of differential expression, include samples believed to be normal (in that they are not altered for the desired characteristic, for example a sample from a subject who has not had an hemorrhagic stroke) as well as reference values, even though possibly arbitrarily set, keeping in mind that such values can vary from laboratory to laboratory.


Reference standards and values may be set based on a known or determined population value and can be supplied in the format of a graph or table that permits comparison of measured, experimentally determined values.


Gene expression profile (or fingerprint): Differential or altered gene expression can be detected by changes in the detectable amount of gene expression (such as cDNA or mRNA) or by changes in the detectable amount of proteins expressed by those genes. A distinct or identifiable pattern of gene expression, for instance a pattern of high and low expression of a defined set of genes or gene-indicative nucleic acids such as ESTs; in some examples, as few as one or two genes provides a profile, but more genes can be used in a profile, for example at least 3, at least 4, at least 5, at least 10, at least 20, at least 25, at least 50, at least 80, at least 100, at least 190, at least 200, at least 300, at least 400, at least 500, at least 700, or at least 1000 or more. A gene expression profile (also referred to as a fingerprint) can be linked to a tissue or cell type (such as PBMCs), to a particular stage of normal tissue growth or disease progression (such as hemorrhagic stroke), or to any other distinct or identifiable condition that influences gene expression in a predictable way. Gene expression profiles can include relative as well as absolute expression levels of specific genes, and can be viewed in the context of a test sample compared to a baseline or control sample profile (such as a sample from a subject who has not had a hemorrhagic stroke). In one example, a gene expression profile in a subject is read on an array (such as a nucleic acid or protein array).


Granzyme M (GM): A trypsin-fold serine protease that participates in target cell death initiated by cytotoxic lymphocytes. Also referred to as (lymphocyte met-ase 1). Granzyme M sequences are publicly available. For example, GenBank Accession Nos: BC025701 and CH471242.1 disclose human granzyme M nucleic acid sequences and GenBank Accession Nos: AAH25701.1 and EAW61189 disclose human granzyme M protein sequences.


In one example, a granzyme M sequence includes a full-length wild-type (or native) sequence, as well as granzyme M allelic variants, variants, fragments, homologs or fusion sequences that retain the ability to participate in target cell death initiated by cytotoxic lymphocytes. In certain examples, granzyme M has at least 80% sequence identity, for example at least 85%, 90%, 95%, or 98% sequence identity to a native granzyme M and retains granzyme M biological activity. In other examples, granzyme M has a sequence that hybridizes under very high stringency conditions to a sequence set forth in GenBank Accession No. BC025701 and CH471242.1, and encodes a protein having granzyme M activity.


Haptoglobin (Hp): A hemoglobin (Hb) binding plasma protein that functions as an antioxidant and a vascular endothelial protector. Hp exists in two major allelic variants: Hp1 and Hp2. Hp forms complexes with free Hb that are rapidly cleared by the liver and by macrophages. The term haptoglobin includes any haptoglobin gene, cDNA, mRNA, or protein from any organism and that is a haptoglobin that can complex with hemoglobin. Haptoglobin sequences are publicly available. For example, GenBank Accession Nos: NM005143 and NP005134 disclose human haptoglobin nucleic acid and protein sequences, respectively and GenBank Accession Nos: NP059066 and NP444324 disclose mouse haptoglobin nucleic acid and protein sequences, respectively.


In one example, a haptoglobin sequence includes a full-length wild-type (or native) sequence, as well as haptoglobin allelic variants, variants, fragments, homologs or fusion sequences that retain the ability to complex with hemoglobin. In certain examples, haptoglobin has at least 80% sequence identity, for example at least 85%, 90%, 95%, or 98% sequence identity to a native haptoglobin and retains haptoglobin biological activity. In other examples, haptoglobin has a sequence that hybridizes under very high stringency conditions to a sequence set forth in GenBank Accession No. NM005143 or NM017370, and encodes a protein having haptoglobin activity.


Hemorrhagic stroke: A hemorrhagic stroke occurs when an artery in the brain leaks or ruptures and causes bleeding inside the brain tissue or near the surface of the brain (as contrasted with an ischemic stroke which develops when a blood vessel that supplies blood to the brain is blocked or narrowed). There are two primary types of hemorrhagic strokes: intracerebral hemorrhage (ICH) and subarachnoid hemorrhage. ICHs occur within the brain, while subarachnoid hemorrhages occur between the pia mater and the arachnoid mater of the meninges. In particular examples, the present disclosure is limited to diagnosis and treatment of an ICH stroke.


About 10% of all strokes are ICHs, such hemorrhages account for a much higher percentage of deaths due to stroke. Among those older than 60, ICH is more common than subarachnoid hemorrhage. Causes of intracerebral hemorrhage include high blood pressure and, in the elderly, fragile blood vessels.


Hemorrhagic Stroke-related (or associated) molecule: A molecule whose expression is affected by a hemorrhagic stroke, such as an ICH stroke. Such molecules include, for instance, nucleic acid sequences (such as DNA, cDNA, or mRNAs) and proteins. Specific examples include those listed in Tables 2-8 and 15-16, as well as fragments of the full-length genes, cDNAs, or mRNAs (and proteins encoded thereby) whose expression is altered (such as upregulated or downregulated) in response to a hemorrhagic stroke.


Examples of hemorrhagic stroke-related molecules whose expression is upregulated following a hemorrhagic stroke include genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, and genes involved in the response to the altered cerebral microenvironment. Specific examples of hemorrhagic stroke-related molecules whose expression is upregulated following a hemorrhagic stroke include IL1R2, haptoglobin, amphiphysin, and CD163, or any one of these, and specific examples of hemorrhagic stroke-related molecules whose expression is downregulated following a hemorrhagic stroke include B-cell CLL/lymphoma 6 and granzyme M.


Hemorrhagic stroke-related molecules can be involved in or influenced by a hemorrhagic stroke in different ways, including causative (in that a change in a hemorrhagic stroke-related molecule leads to development of or progression to hemorrhagic stroke) or resultive (in that development of or progression to hemorrhagic stroke causes or results in a change in the hemorrhagic stroke-related molecule).


Hybridization: To form base pairs between complementary regions of two strands of DNA, RNA, or between DNA and RNA, thereby forming a duplex molecule. Hybridization conditions resulting in particular degrees of stringency will vary depending upon the nature of the hybridization method and the composition and length of the hybridizing nucleic acid sequences. Generally, the temperature of hybridization and the ionic strength (such as the Na+ concentration) of the hybridization buffer will determine the stringency of hybridization. Calculations regarding hybridization conditions for attaining particular degrees of stringency are discussed in Sambrook et al., (1989) Molecular Cloning, second edition, Cold Spring Harbor Laboratory, Plainview, N.Y. (chapters 9 and 11).


In particular examples, an array includes probes or primers that can hybridize to hemorrhagic stroke-related nucleic acid molecules (such as mRNA or cDNA molecules), for example under very high or high stringency conditions.


The following is an exemplary set of hybridization conditions and is not limiting:


Very High Stringency (Detects Sequences that Share at Least 90% Identity)















Hybridization:
  5x SSC at 65° C. for 16 hours


Wash twice:
  2x SSC at room temperature (RT) for 15 minutes each


Wash twice:
0.5x SSC at 65° C. for 20 minutes each









High Stringency (Detects Sequences that Share at Least 80% Identity)


















Hybridization:
5x-6x SSC at 65° C.-70° C. for 16-20 hours



Wash twice:
2x SSC at RT for 5-20 minutes each



Wash twice:
1x SSC at 55° C.-70° C. for 30 minutes each










Low Stringency (Detects Sequences that Share at Least 50% Identity)


Hybridization: 6×SSC at RT to 55° C. for 16-20 hours


Wash at least twice: 2×-3×SSC at RT to 55° C. for 20-30 minutes each.


Interleukin-1 receptor, type II (IL1R2): Receptor for interleukin 1 family member 9 (IL1F9), which can function as a scavenger receptor for IL-1 thereby reducing binding of IL-1 to its receptor. The term IL1R2 includes any IL1R2 gene, cDNA, mRNA, or protein from any organism and that is an IL1R2 that can function as a receptor for IL1F9. IL1R2 sequences are publicly available. For example, GenBank Accession Nos: NM003854 and AAZ38712 disclose human IL1R2 nucleic acid and protein sequences, respectively and GenBank Accession Nos: NM133575 and NP598259 disclose rat IL1R2 nucleic acid and protein sequences, respectively.


In one example, a IL1R2 sequence includes a full-length wild-type (or native) sequence, as well as IL1R2 allelic variants, variants, fragments, homologs or fusion sequences that retain the ability to function as a receptor for IL1F9. In certain examples, IL1R2 has at least 80% sequence identity, for example at least 85%, at least 90%, at least 95%, or at least 98% sequence identity to a native IL1R2. In other examples, IL1R2 has a sequence that hybridizes under very high stringency conditions to a sequence set forth in GenBank Accession No. NM003854 or NM133575, and retains IL1R2 activity.


Isolated: An “isolated” biological component (such as a nucleic acid molecule, protein, or cell) has been substantially separated or purified away from other biological components in the cell of the organism, or the organism itself, in which the component naturally occurs, such as other chromosomal and extra-chromosomal DNA and RNA, proteins and cells. Nucleic acid molecules and proteins that have been “isolated” include hemorrhagic stroke-associated nucleic acid molecules (such as DNA or RNA) and proteins purified by standard purification methods. The term also embraces nucleic acid molecules and proteins prepared by recombinant expression in a host cell as well as chemically synthesized nucleic acid molecules and proteins. For example, an isolated cell, such as an isolated PBMC is one that is substantially separated from other cells, such as other blood cells.


Label: An agent capable of detection, for example by ELISA, spectrophotometry, flow cytometry, or microscopy. For example, a label can be attached to a nucleic acid molecule or protein, thereby permitting detection of the nucleic acid molecule or protein. For example a nucleic acid molecule or an antibody that specifically binds to a hemorrhagic stroke-associated molecule can include a label. Examples of labels include, but are not limited to, radioactive isotopes, enzyme substrates, co-factors, ligands, chemiluminescent agents, fluorophores, haptens, enzymes, and combinations thereof. Methods for labeling and guidance in the choice of labels appropriate for various purposes are discussed for example in Sambrook et al. (Molecular Cloning: A Laboratory Manual, Cold Spring Harbor, N.Y., 1989) and Ausubel et al. (In Current Protocols in Molecular Biology, John Wiley & Sons, New York, 1998).


Neurological sequalae: Any abnormality of the nervous system (such as the central nervous system) following or resulting from a disease or injury or treatment, for example following a hemorrhagic stroke.


Nucleic acid array: An arrangement of nucleic acids (such as DNA or RNA) in assigned locations on a matrix, such as that found in cDNA arrays, or oligonucleotide arrays. In a particular example, a nucleic acid array includes probes or primers that can hybridize under high or very high stringency conditions to hemorrhagic stroke-related nucleic acid molecules, such as at least four of such molecules.


Nucleic acid molecules representing genes: Any nucleic acid, for example DNA (intron or exon or both), cDNA, or RNA (such as mRNA), of any length suitable for use as a probe or other indicator molecule, and that is informative about the corresponding gene (such as a hemorrhagic stroke-associated gene).


Nucleic acid molecules: A deoxyribonucleotide or ribonucleotide polymer including, without limitation, cDNA, mRNA, genomic DNA, and synthetic (such as chemically synthesized) DNA. The nucleic acid molecule can be double-stranded or single-stranded. Where single-stranded, the nucleic acid molecule can be the sense strand or the antisense strand. In addition, nucleic acid molecule can be circular or linear.


The disclosure includes isolated nucleic acid molecules that include specified lengths of a hemorrhagic stroke-related nucleotide sequence, for example those listed in Tables 2-8 and 15-16. Such molecules can include at least 10, at least 15, at least 20, at least 25, at least 30, at least 35, at least 40, at least 45 or at least 50 consecutive nucleotides of these sequences or more, and can be obtained from any region of an hemorrhagic stroke-related nucleic acid molecule.


Nucleotide: Includes, but is not limited to, a monomer that includes a base linked to a sugar, such as a pyrimidine, purine or synthetic analogs thereof, or a base linked to an amino acid, as in a peptide nucleic acid (PNA). A nucleotide is one monomer in a polynucleotide. A nucleotide sequence refers to the sequence of bases in a polynucleotide.


Oligonucleotide: A plurality of joined nucleotides joined by native phosphodiester bonds, between about 6 and about 300 nucleotides in length, for example about 6 to 300 contiguous nucleotides of a hemorrhagic stroke-associated nucleic acid molecule. An oligonucleotide analog refers to moieties that function similarly to oligonucleotides but have non-naturally occurring portions. For example, oligonucleotide analogs can contain non-naturally occurring portions, such as altered sugar moieties or inter-sugar linkages, such as a phosphorothioate oligodeoxynucleotide.


Particular oligonucleotides and oligonucleotide analogs can include linear sequences up to about 200 nucleotides in length, for example a sequence (such as DNA or RNA) that is at least 6 nucleotides, for example at least 8, at least 10, at least 15, at least 20, at least 21, at least 25, at least 30, at least 35, at least 40, at least 45, at least 50, at least 100 or even at least 200 nucleotides long, or from about 6 to about 50 nucleotides, for example about 10-25 nucleotides, such as 12, 15 or 20 nucleotides. In particular examples, an oligonucleotide includes these numbers of contiguous nucleotides of a hemorrhagic stroke-related nucleic acid molecule. Such an oligonucleotide can be used on a nucleic acid array to detect the presence of the hemorrhagic stroke-related nucleic acid molecule.


Oligonucleotide probe: A short sequence of nucleotides, such as at least 8, at least 10, at least 15, at least 20, at least 21, at least 25, or at least 30 nucleotides in length, used to detect the presence of a complementary sequence (such as a hemorrhagic stroke-associated nucleic acid sequence) by molecular hybridization. In particular examples, oligonucleotide probes include a label that permits detection of oligonucleotide probe:target sequence hybridization complexes. For example, an oligonucleotide probe can include these numbers of contiguous nucleotides of a hemorrhagic stroke-related nucleic acid molecule, along with a detectable label. Such an oligonucleotide probe can be used on a nucleic acid array to detect the presence of the hemorrhagic stroke-related nucleic acid molecule.


Peripheral blood mononuclear cells (PBMCs): Cells present in the blood that have one round nucleus. Examples include lymphocytes, monocytes, and natural killer cells. PBMCs do not include neutrophils, eosinophils or basophils.


Primers: Short nucleic acid molecules, for instance DNA oligonucleotides 10-100 nucleotides in length, such as about 15, 20, 25, 30 or 50 nucleotides or more in length, such as this number of contiguous nucleotides of a hemorrhagic stroke-associated nucleic acid molecule. Primers can be annealed to a complementary target DNA strand by nucleic acid hybridization to form a hybrid between the primer and the target DNA strand. Primer pairs can be used for amplification of a nucleic acid sequence, such as by PCR or other nucleic acid amplification methods known in the art.


Methods for preparing and using nucleic acid primers are described, for example, in Sambrook et al. (In Molecular Cloning: A Laboratory Manual, CSHL, New York, 1989), Ausubel et al. (ed.) (In Current Protocols in Molecular Biology, John Wiley & Sons, New York, 1998), and Innis et al. (PCR Protocols, A Guide to Methods and Applications, Academic Press, Inc., San Diego, Calif., 1990). PCR primer pairs can be derived from a known sequence, for example, by using computer programs intended for that purpose such as Primer (Version 0.5,© 1991, Whitehead Institute for Biomedical Research, Cambridge, Mass.). One of ordinary skill in the art will appreciate that the specificity of a particular primer increases with its length.


In one example, a primer includes at least 15 consecutive nucleotides of a hemorrhagic stroke-related nucleotide molecule, such as at least 18 consecutive nucleotides, at least 20, at least 25, at least 30, at least 35, at least 40, at least 45, at least 50 or more consecutive nucleotides of a hemorrhagic stroke-related nucleotide sequence. Such primers can be used to amplify a hemorrhagic stroke-related nucleotide sequence, for example using PCR.


Purified: The term “purified” does not require absolute purity; rather, it is intended as a relative term. Thus, for example, a purified protein preparation is one in which the protein referred to is more pure than the protein in its natural environment within a cell. For example, a preparation of a protein (such as a hemorrhagic stroke-associated protein) is purified such that the protein represents at least 50% of the total protein content of the preparation. Similarly, a purified oligonucleotide preparation is one in which the oligonucleotide is more pure than in an environment including a complex mixture of oligonucleotides. In addition, a purified cell, such as a purified PBMC, is one that is substantially separated from other cells, such as other blood cells. In one example, purified PBMCs are at least 90% pure, such as at least 95% pure, or even at least 99% pure.


Sample: A biological specimen containing genomic DNA, RNA (including mRNA), protein, or combinations thereof, obtained from a subject. Examples include, but are not limited to, peripheral blood, urine, saliva, tissue biopsy, surgical specimen, amniocentesis samples and autopsy material. In one example, a sample includes PBMCs.


Semaphorin 4C (Sema4C): A group 4 transmembrane semaphorin that interacts with SFAP75 and may play a role in neural function in brain. Sema4C sequences are publicly available. For example, GenBank Accession Nos: NM017789.3 and NP060259.3 disclose human Sema4C nucleic acid and protein sequences, respectively and GenBank Accession Nos: AF461179.1 and AAL67573.1 disclose Xenopus Sema4C nucleic acid and protein sequences, respectively.


In one example, a Sema4C sequence includes a full-length wild-type (or native) sequence, as well as Sema4C allelic variants, variants, fragments, homologs or fusion sequences that retain the ability to interact with SFAP75. In certain examples, Sema4C has at least 80% sequence identity, for example at least 85%, 90%, 95%, or 98% sequence identity to a native Sema4C and retains the ability to interact with SFAP75. In other examples, Sema4C has a sequence that hybridizes under very high stringency conditions to a sequence set forth in GenBank Accession No. NM017789.3 or AF461179.1 and encodes a protein having Sema4C activity.


Sequences involved in (or related to) acute inflammatory response: Nucleic acid molecules (such as genes, cDNA, and mRNA) and the corresponding protein, whose expression when altered (such as upregulated or downregulated) initiates or promotes an acute inflammatory response (such as promoting or enhancing the exudation of plasma proteins and leukocytes into the surrounding tissue), for example in response to an ICH. Particular examples include CD163 and maltase-glucoamylase.


Sequences involved in (or related to) altered cerebral microenvironment: Nucleic acid molecules (such as genes, cDNA, and mRNA) and the corresponding protein, whose expression is altered (such as upregulated or downregulated) in PBMCs in response to changes in the brain microenvironment, for example to enhance synaptic vesicle recycling in the brain, or to increase neuronal recovery and repair. Particular examples include amphiphysin and GAS7.


Sequences involved in (or related to) cell adhesion: Nucleic acid molecules (such as genes, cDNA, and mRNA) and the corresponding protein, whose expression when altered (such as upregulated or downregulated) promotes or enhances cell adhesion, such as the binding of one cell to another cell, or the binding of a cell or to a surface or matrix, for example in response to an ICH. A particular example includes acyl CoA synthase.


Sequences involved in (or related to) hematoma formation/vascular repair: Nucleic acid molecules (such as mRNA, cDNA, genes) and the corresponding protein, whose expression is altered (such as upregulated or downregulated) in response to injury to a blood vessel. Modification of expression of such molecules (such as up- or downregulation) can result in hematoma degradation, coagulation, repair of the vascular system, or combinations thereof, for example in response to an ICH. Such genes may promote healing of damaged blood vessels, such as those that have hemorrhaged, for example resulting in the formation of a hematoma. Particular examples include, but are not limited to, haptoglobin, factor 5, and two genes related to induction of megakaryocyte formation, v-maf musculoaopneurotic fibrosarcoma oncogene homolog B and HIV-1 Rev binding protein.


Sequences involved in (or related to) hypoxia: Nucleic acid molecules (such as genes, cDNA, and mRNA) and the corresponding protein, whose expression is altered (such as upregulated or downregulated) in response to decreased available oxygen in the blood and tissues. For example, the brain is hypoxic following a stroke. A particular example includes solute carrier family 2, member 3.


Sequences involved in (or related to) signal transduction: Nucleic acid molecules (such as genes, cDNA, and mRNA) and the corresponding protein, whose expression when altered (such as upregulated or downregulated) converts one signal into another type of signal, for example to increases signal transmission between cells or with a cell, for example in response to an ICH. Particular examples include centaurin, alpha 2 and cytochrome P450.


Sequences involved in (or related to) suppression of the immune response: Nucleic acid molecules (such as genes, cDNA, and mRNA) and the corresponding protein, which can reduce or inhibit an immune response, such as reducing or inhibiting white blood cell proliferation. In a specific example, expression of one or more of such genes is altered (such as upregulated or downregulated) in response to injury to a blood vessel, for example in response to an ICH. A particular example includes, but is not limited to, IL1R2.


Subject: Living multi-cellular vertebrate organisms, a category that includes human and non-human mammals, such as veterinary subjects. In a particular example, a subject is one who had or is suspected of having had a stroke, such as an intracerebral hemorrhagic stroke.


Target sequence: A sequence of nucleotides located in a particular region in the human genome that corresponds to a desired sequence, such as a hemorrhagic stroke-related sequence. The target can be for instance a coding sequence; it can also be the non-coding strand that corresponds to a coding sequence. Examples of target sequences include those sequences associated with stroke, such as any of those listed in Tables 2-8 and 14-18.


Test agent: Any substance, including, but not limited to, a protein (such as an antibody), nucleic acid molecule, organic compound, inorganic compound, or other molecule of interest. In particular examples, a test agent can permeate a cell membrane (alone or in the presence of a carrier). In particular examples, a test agent is one whose effect on hemorrhagic stroke is to be determined.


Therapeutically effective amount: An amount of a pharmaceutical preparation that alone, or together with a pharmaceutically acceptable carrier or one or more additional therapeutic agents, induces the desired response. A therapeutic agent, such as a coagulant or an anti-hypertensive, is administered in therapeutically effective amounts.


Therapeutic agents can be administered in a single dose, or in several doses, for example daily, during a course of treatment. However, the effective amount of can be dependent on the source applied, the subject being treated, the severity and type of the condition being treated, and the manner of administration. Effective amounts a therapeutic agent can be determined in many different ways, such as assaying for a reduction in blood pressure, reduction in intracranial pressure, reduction in brain swelling, reduction in seizures, increased blood clotting, improvement of physiological condition of a subject having hypertension or having had a hemorrhagic stroke, or combinations thereof. Effective amounts also can be determined through various in vitro, in vivo or in situ assays.


In one example, it is an amount sufficient to partially or completely alleviate symptoms of hemorrhagic stroke within a subject. Treatment can involve only slowing the progression of the hemorrhagic stroke temporarily, but can also include halting or reversing the progression of the hemorrhagic stroke permanently. For example, a pharmaceutical preparation can decrease one or more symptoms of hemorrhagic stroke, for example decrease a symptom by at least 20%, at least 50%, at least 70%, at least 90%, at least 98%, or even at least 100%, as compared to an amount in the absence of the pharmaceutical preparation.


Transporter associated with antigen processing (TAP2): Forms a heterodimer with TAP1, and the heterodimer binds antigenic peptides (such as MHC class I molecules) and transports them from the cytosol into the lumen of the endoplasmic reticulum (ER) in an ATP-dependent manner. The term TAP2 includes any TAP2 gene, cDNA, mRNA, or protein from any organism and that is a TAP2 that can transport antigenic peptides into the ER. TAP2 sequences are publicly available. For example, GenBank Accession Nos: NT007592 and NP061313 disclose human TAP2 nucleic acid and protein sequences, respectively and GenBank Accession Nos: NM032056 and NP114445 disclose rat TAP2 nucleic acid and protein sequences, respectively.


In one example, a TAP2 sequence includes a full-length wild-type (or native) sequence, as well as TAP2 allelic variants, variants, fragments, homologs or fusion sequences that retain the ability to transport antigenic peptides into the ER. In certain examples, TAP2 has at least 80% sequence identity, for example at least 85%, 90%, 95%, or 98% sequence identity to a native TAP2 and retains the ability to transport antigenic peptides into the ER. In other examples, TAP2 has a sequence that hybridizes under very high stringency conditions to a sequence set forth in GenBank Accession No. NT007592 or NM032056 and encodes a protein having TAP2 activity.


Treating a disease: “Treatment” refers to a therapeutic intervention that ameliorates a sign or symptom of a disease or pathological condition, such a sign or symptom of intracerebral hemorrhagic stroke. Treatment can also induce remission or cure of a condition, such as a hemorrhagic stroke. In particular examples, treatment includes preventing a disease, for example by inhibiting the full development of a disease, such as preventing development of a disease or disorder that results from a hemorrhagic stroke. Prevention of a disease does not require a total absence of disease. For example, a decrease of at least 50% can be sufficient.


Under conditions sufficient for: A phrase that is used to describe any environment that permits the desired activity.


In one example, includes administering a test agent to a subject sufficient to allow the desired activity. In particular examples, the desired activity is altering the activity (such as the expression) of a hemorrhagic stroke-related molecule, for example normalizing such activity to control levels (such as a level found in a subject not having had a stroke).


Upregulated or activation: When used in reference to the expression of a nucleic acid molecule, such as a gene, refers to any process which results in an increase in production of a gene product. A gene product can be RNA (such as mRNA, rRNA, tRNA, and structural RNA) or protein. Therefore, gene upregulation or activation includes processes that increase transcription of a gene or translation of mRNA, such as a hemorrhagic stroke-associated gene or other nucleic acid molecule.


Examples of processes that increase transcription include those that facilitate formation of a transcription initiation complex, those that increase transcription initiation rate, those that increase transcription elongation rate, those that increase processivity of transcription and those that relieve transcriptional repression (for example by blocking the binding of a transcriptional repressor). Gene upregulation can include inhibition of repression as well as stimulation of expression above an existing level. Examples of processes that increase translation include those that increase translational initiation, those that increase translational elongation and those that increase mRNA stability.


Gene upregulation includes any detectable increase in the production of a gene product, such as a hemorrhagic stroke-associated gene product. In certain examples, production of a gene product increases by at least 2-fold, for example at least 3-fold or at least 4-fold, as compared to a control (such an amount of gene expression in a normal cell). For example these genes listed in Tables 2-4 or 6-7 having a positive t-statistic value and genes listed in Tables 15 and 16 with a positive FC value are upregulated in subjects who have had an ICH stroke. In one example, a control is a relative amount of gene expression in a PBMC in a subject who has not suffered a hemorrhagic stroke, or in a subject who has had an ischemic stroke, or combinations thereof.


Hemorrhagic Stroke-Related Molecules

The inventors have identified at least 25 genes whose expression is altered (such as upregulated or downregulated) following a hemorrhagic stroke, such as an intracerebral hemorrhagic stroke (ICH). The number of genes identified depended on the specificity and sensitivity of the algorithm used, as well as which subjects were compared. For example, using the Holm dataset, 50 hemorrhagic stroke-related probes were identified when comparing intracerebral hemorrhagic stroke, ischemic stroke and control subjects (Table 2), using the false discovery rate (fdr) dataset, the Holm dataset, or the PAM dataset, 1263, 119, or 30 hemorrhagic stroke-related genes were identified respectively, when comparing intracerebral hemorrhagic stroke and control subjects, (Tables 3-5, respectively), and using the fdr dataset, the Holm dataset, or the PAM dataset, 446, 25, or 316 hemorrhagic stroke-related genes were identified respectively, when comparing intracerebral hemorrhagic stroke and ischemic stroke subjects (Tables 6-8, respectively). Using other algorithms, 15 genes were found to be significantly upregulated in subjects who had suffered a stroke (whether IS or ICH) compared to normal subjects (Table 14), 5 genes were significantly unregulated in ICH subjects relative to IS subjects (Table 15), 18 genes were significantly differentially expressed in ICH subjects relative to normal subjects (Table 16), and 1 gene was significantly upregulated in IS subjects relative to normal subjects (Table 17). One skilled in the art will appreciate that changes in protein expression can be detected as an alternative to detecting gene expression.


Several genes not previously associated with hemorrhagic stroke were identified, such as at least IL1R2, haptoglobin, amphiphysin, and TAP2. In particular examples, some genes were upregulated (IL1R2, haptoglobin, amphiphysin) and some genes were downregulated (TAP2 and granzyme M) following a hemorrhagic stroke. In one example, classes of genes whose expression was altered following a hemorrhagic stroke were identified: genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction.


Based on the identification of these hemorrhagic stroke-related molecules, methods were developed to evaluate a stroke. For example, the disclosed methods can be used to diagnose a hemorrhagic stroke, determine the severity of a hemorrhagic stroke, determine the likely neurological recovery of a subject who had a hemorrhagic stroke, or combinations thereof. In particular examples, the hemorrhagic stroke is an intracerebral hemorrhagic stroke. The method can further include determining an appropriate therapy for a subject found to have experienced hemorrhagic stroke using the disclosed assays.


The disclosed methods provide a rapid, straightforward, and accurate genetic screening method performed in one assay for evaluating hemorrhagic stroke, such as intracerebral hemorrhagic stroke. It allows identification of subjects who may require coagulant or anti-hypertensive therapy (or other appropriate therapy) following a hemorrhagic stroke. For example, by establishing that an individual has had a hemorrhagic stroke, effective therapeutic measures, such as the emergent administration of a coagulant or anti-hypertensive to treat the stroke or to prevent such hemorrhagic stroke recurrence and extension, can be instituted.


Evaluation of a Hemorrhagic Stroke

Provided herein are methods of evaluating a stroke. Particular examples of evaluating a stroke include determining whether a subject, such as an otherwise healthy subject, or a subject suspected or at risk of having a hemorrhagic stroke, has had hemorrhagic stroke, assessing the severity of a hemorrhagic stroke, predicting the likelihood of neurological recovery of a subject who has had a hemorrhagic stroke, or combinations thereof. The identification of a subject who has had a hemorrhagic stroke (such as an intracerebral hemorrhagic stroke) can help to evaluate other clinical data (such as neurological impairment or brain imaging information) to determine whether a hemorrhagic stroke (and not an ischemic stroke) has occurred. In particular examples, the method can determine with a reasonable amount of sensitivity and specificity whether a subject has suffered a hemorrhagic stroke (such as an ICH) within the previous 5 days, such as within the previous 72 hours, the previous 48 hours, previous 24 hours, or previous 12 hours. In some examples, isolated or purified PBMCs obtained from the subject are used to determine whether a subject has had a hemorrhagic stroke, such as an ICH.


In particular examples, the method also includes administering an appropriate treatment therapy to subjects who have had a hemorrhagic stroke. For example, subjects identified or evaluated as having had a hemorrhagic stroke can then be provided with appropriate treatments, such as anti-hypertensive agents or agents that promote blood clotting or combinations thereof, that would be appropriate for a subject identified as having had a hemorrhagic stroke but not as appropriate for a subject who has had an ischemic stroke. It is helpful to be able to classify a subject as having had a hemorrhagic stroke, because the treatments for hemorrhagic stroke are often distinct from the treatments for ischemic stroke. In fact, treating a hemorrhagic stroke with a therapy designed for an ischemic stroke (such as a thrombolytic agent) can have devastating clinical consequences. Hence using the results of the disclosed assays to help distinguish ischemic from hemorrhagic stroke offers a substantial clinical benefit, and allows subjects to be selected for treatments appropriate to hemorrhagic stroke but not ischemic stroke.


In particular examples, methods of evaluating a stroke involve detecting differential expression (such as an increase or decrease in gene or protein expression) in any combination of at least four hemorrhagic stroke-related molecules of the subject, such as any combination of at least four of the genes (or proteins) listed in any of Tables 2-8 and 15-16. In one example, the method includes screening expression of one or more of IL1R2, CD163, amphiphysin, or TAP2, or a combination of hemorrhagic stroke-related molecules that includes at least 1, at least 2, at least 3, or at least 4 of these molecules. For example, the method can include screening expression of IL1R2, along with other hemorrhagic stroke-related molecules (such as any combination that includes at least 3 additional molecules listed in Tables 2-8 and 15-16, for example haptoglobin, amphiphysin, TAP2, CD163, and granzyme M).


Differential expression can be represented by increased or decreased expression in the at least one hemorrhagic stroke-related molecule (for instance, a nucleic acid or a protein). For example, differential expression includes, but is not limited to, an increase or decrease in an amount of a nucleic acid molecule or protein, the stability of a nucleic acid molecule or protein, the localization of a nucleic acid molecule or protein, or the biological activity of a nucleic acid molecule or protein. Specific examples include evaluative methods in which changes in gene expression in at least four hemorrhagic stroke-related nucleic acid molecules (or corresponding protein) are detected (for example nucleic acids or proteins obtained from a subject thought to have had or known to have had a hemorrhagic stroke), such as changes in gene (or protein) expression in any combination of at least 5, at least 10, at least 15, at least 20, at least 25, at least 50, at least 100, at least 150, at least 160, at least 170, at least 175, at least 180, at least 185, at least 200, at least 250, at least 300, at least 400, at least 500, at least 700, at least 1000, at least 1100, or at least 1263 hemorrhagic stroke-related molecules. Exemplary hemorrhagic stroke-related molecules are provided in Tables 2-8 and 15-16.


In particular examples a change in expression is detected in a subset of hemorrhagic stroke-related molecules (such as nucleic acid sequences or protein sequences) that selectively evaluate a stroke, for example to determine if a subject has had a hemorrhagic stroke. In a particular example, the subset of molecules can include a set of any combination of four hemorrhagic stroke-related genes listed in Table 5 or 8. In a particular example, the subset of molecules includes any combination of at least one gene (or protein) from each of the following classes, genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction, such as at least 2, at least 3, at least 5, or at least 10 genes from each class.


In a particular example, differential expression is detected in hemorrhagic stroke-related molecules that are both upregulated and down regulated. For example, increased expression of one or more of (such as 2, 3, or 4 of) IL1R2, haptoglobin, amphiphysin, and CD163 and decreased gene (or protein) expression of one or more of TAP2, Sema4C, or granzyme M, indicates that the subject has had a hemorrhagic stroke, has had a severe hemorrhagic stroke, has a lower likelihood of neurological recovery, or combinations thereof. For example, differential expression can be detected by determining if the subject has increased gene (or protein) expression of IL1R2, CD163, and amphiphysin, and determining if the subject has decreased gene (or protein) expression of TAP2 or granzyme M, wherein detection of such increased and decreased expression indicates that the subject has suffered a hemorrhagic stroke.


In particular examples, the number of hemorrhagic stroke-related genes screened is at least 5, at least 10, at least 15, at least 20, at least 25, at least 30, at least 60, at least 70, at least 100, at least 110, at least 130, at least 140, at least 150, at least 200, at least 250, at least 300, at least 400, at least 500, at least 1000, or at least 1263 hemorrhagic stroke-related molecules. In other examples, the methods employ screening no more than 1263, no more than 1000, no more than 500, no more than 446, no more than 316, no more than 250, no more than 200, no more than 150, no more than 119, no more than 100, no more than 63, no more than 50, no more than 30, no more than 25, no more than 20, no more than 15, no more than 10, no more than 5, or no more than 4 hemorrhagic stroke-related genes. Examples of particular hemorrhagic stroke-related genes are shown in Tables 2-8 and 15-16. In one example, the number of hemorrhagic stroke-related genes screened includes at least one gene from each of the following classes, genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction, such as at least 2, at least 3, at least 5, or at least 10 genes from each class. In some examples, detection of differential expression of at least four molecules listed in Tables 2-8 and 15-16 indicates that the subject has had a hemorrhagic stroke, has had a severe hemorrhagic stroke, has a lower likelihood of neurological recovery, or combinations thereof, while detection of differential expression of in no more than two molecules listed in Tables 2-8 and 15-16 indicates that the subject has not had a hemorrhagic stroke, has had a mild hemorrhagic stroke, has a greater likelihood of neurological recovery, or combinations thereof.


In certain methods, differential expression includes over- or under-expression of a hemorrhagic stroke-related molecule. In some examples the presence of differential expression is evaluated by determining a t-statistic value that indicates whether a gene or protein is up- or down-regulated. For example, an absolute t-statistic value can be determined. In some examples, a negative t-statistic indicates that the gene or protein is downregulated, while a positive t-statistic indicates that the gene or protein is upregulated. In particular examples, a t-statistic less than −3 indicates that the gene or protein is downregulated, such as less than −3.5, less than −4.0, less than −5.0, less than −6.0, less than −7.0 or even less than −8.0, while a t-statistic of at least 3, such as at least 3.5, at least 4.0, at least 5.0, at least 6.0, at least 7.0, at least 8.0, at least 9.0, at least 10, or at least 15, indicates that the gene or protein is upregulated.


For instance, differential expression can include overexpression, for instance overexpression of any combination of at least 4 molecules (such at least 10 or at least 20 molecules) shown in Tables 2-4 or 6-7 with a positive t-statistic value (such as a t-statistic value of at least 3, such as at least 4, at least 6 or even at least 8) or shown in Tables 15 and 16 with a positive FC value (such as an FC value of at least 1.2). In a particular example, differential expression includes differential expression of any combination of at least one gene from each of the following classes, genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction, such as at least 2, at least 3, at least 5, or at least 10 genes from each of the classes. In another particular example, differential expression includes differential expression of any combination of at least one gene from at least three of the following classes, genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction, such as at least 4, at least 5, or all of the classes. In another example, differential expression includes underexpression, for instance underexpression of any combination of at least four molecules (such at least 50 or at least 150 molecules) shown in Tables 2-4 or 6-7 with a negative t-statistic value (such as a t-statistic value of less than −3, such as less than −4, less than −6 or even less than −7 or Table 16 with a negative FC value (such as a value less than −1.3). In a specific example, differential expression includes any combination of increased expression or decreased expression of at least 4 hemorrhagic stroke-related molecules shown in Tables 2-4, 6-7 or 16, such as upregulation of at least 3 hemorrhagic stroke-related molecules shown in Tables 2-4 or 6-7 with a positive t-statistic value or Tables 15-16 with a positive FC value and downregulation of at least one hemorrhagic stroke related molecule shown in Tables 2-4 or 6-7 with a negative t-statistic value or Table 16 with a negative FC value, or for example upregulation of at least 4 hemorrhagic stroke-related molecules shown in Tables 2-4 or 6-7 with a positive t-statistic value or Tables 15-16 with a positive FC value, or for example, upregulation of at least 2 hemorrhagic stroke-related molecules shown in Tables 2-4 or 6-7 with a positive t-statistic value or Tables 15-16 with a positive FC value and downregulation of at least 2 hemorrhagic stroke related molecules shown in Tables 2-4 or 6-7 with a negative t-statistic value or Table 16 with a negative FC value.


In some examples, differential expression of proteins that are associated with hemorrhagic stroke includes detecting patterns of such expression, such as detecting upregulation of IL1R2, haptoglobin, amphiphysin, and CD163, and detecting downregulation of TAP2, granzyme M or Sema4C. For example, detecting upregulation or downregulation can include a magnitude of change of at least 25%, at least 50%, at least 100%, or even at least 200%, such as a magnitude of change of at least 25% for CD163; at least 25% for IL1R2; at least 25% for haptoglobin; at least 25% for amphiphysin; at least 25% for TAP2; at least 25% for Sema4C; and at least 25% for granzyme M. Alternatively, upregulation is detected by a level having a t-value of at least 4 and downregulation is detected by a level having a t-value value of no more than −4.


In particular examples, the disclosed method of evaluating a stroke is at least 75% sensitive (such as at least 80% sensitive, at least 85% sensitive, at least 90% sensitive, or at least 95% sensitive) and at least 80% specific (such as at least 85% specific, at least 90% specific, at least 95% specific, or 100% specific) for determining whether a subject has had a hemorrhagic stroke, such as an ICH.


As used herein, the term “hemorrhagic stroke-related molecule” includes hemorrhagic stroke-related nucleic acid molecules (such as DNA, RNA, for example cDNA or mRNA) and hemorrhagic stroke-related proteins. The term is not limited to those molecules listed in Tables 2-8 and 15-16 (and molecules that correspond to those listed), but also includes other nucleic acid molecules and proteins that are influenced (such as to level, activity, localization) by or during a hemorrhagic stroke (such as an intracerebral hemorrhagic stroke), including all of such molecules listed herein. Examples of particular hemorrhagic stroke-related genes are listed in Tables 2-8 and 15-16, such as IL1R2, haptoglobin, amphiphysin, TAP2, CD163, and granzyme M. In examples where the hemorrhagic-related molecule is a hemorrhagic stroke-related nucleic acid sequence, exemplary methods of detecting differential expression include in vitro nucleic acid amplification, nucleic acid hybridization (which can include quantified hybridization), RT-PCR, real time PCR, or combinations thereof. In examples where the hemorrhagic stroke-related molecule is an hemorrhagic-related protein sequence, exemplary methods of detecting differential expression include in vitro hybridization (which can include quantified hybridization) such as hybridization to a protein-specific binding agent for example an antibody, quantitative spectroscopic methods (for example mass spectrometry, such as surface-enhanced laser desorption/ionization (SELDI)-based mass spectrometry) or combinations thereof. However, one skilled in the art will recognize that other nucleic acid or protein detection methods can be used.


In particular examples, methods of evaluating a subject who has had or is thought to have had an hemorrhagic stroke includes determining a level of expression (for example in a PBMC) of any combination of at least 4 of the genes (or proteins) listed in Tables 2-8 and 15-16, such as at least 10, at least 15, at least 20, or at least 30 of the genes listed in Tables 5 or 8, such as at least 20, at least 30, at least 50, at least 100, at least 200, or at least 500 of the genes listed in Tables 2-8 and 15-16. In one example, the method includes determining a level of expression of at least IL1R2, amphiphysin, TAP2, and CD163, or any combination of hemorrhagic stroke-related molecules that includes 1, 2, 3, or 4 of these molecules. In one example, the method includes determining a level of expression of at least one gene from each of the following classes, genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction, such as at least 2, at least 3, at least 5, or at least 10 genes from each class.


Methods of evaluating a stroke can include diagnosing a stroke, stratifying the seriousness of an intracerebral hemorrhagic event, and predicting neurological recovery. Similarly, methods of evaluating a stroke can include determining the severity of a hemorrhagic stroke, predicting neurological recovery, or combinations thereof. For example, a change in expression in any combination of at least four of the genes listed in Tables 2-8 and 15-16 indicates that the subject has had a hemorrhagic stroke. For example, an increase in expression in one or more of IL1R2, haptoglobin, amphiphysin, or CD163, and a decrease in expression of one or more of TAP2, granzyme M and Sema4C, in particular examples indicates that the subject has had a hemorrhagic stroke, such as an ICH.


The disclosed methods of evaluating a stroke can include a diagnosis of a stroke. For example, a diagnosis of stroke (whether IS or ICH) can be made, as well as classification of the stroke as ischemic or hemorrhagic. Diagnosis of stroke can be performed before or during classification of a stroke (e.g. to determine if the stroke is ischemic or hemorrhagic). For example, it can first be determined whether the subject has suffered a stroke, then determined if the stroke is ischemic or hemorrhagic. Alternatively, such diagnosis and classification can be done simultaneously (or near simultaneously), for example by using one or more arrays with the appropriate probes. For example, the method can include determining if there is significant upregulation in at least 4 of the 15 genes/proteins listed in Table 14, wherein significant upregulation in 4 or more of the 15 genes/proteins listed in Table 14 (such as at least 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, or 15) of the genes/proteins listed in Table 14, indicates that the subject has suffered a stroke. However, such genes/proteins do not classify the stroke as ischemic or hemorrhagic. To classify the stroke as hemorrhagic, at least four (such as at least 10 or at least 30) of the genes/proteins listed in Tables 2-8 and 15-16 can be used, and to classify the stroke as ischemic at least four (such as at least 10 or at least 25) the genes/proteins listed in Tables 15 and 17-18 can be used. Methods of using the genes/proteins listed in Tables 2-8 and 14-18 to classify a stroke as hemorrhagic or ischemic are provided herein.


Determining the level of expression can involve measuring an amount of the hemorrhagic stroke-related molecules in a sample derived from the subject, such as a purified PBMC sample. Such an amount can be compared to that present in a control sample (such as a sample derived from a subject who has not had a hemorrhagic stroke or a standard hemorrhagic stroke-related molecule level in analogous samples from a subject not having had a hemorrhagic stroke or not having a predisposition developing hemorrhagic stroke), wherein a difference (such as an increase or a decrease reflecting an upregulation or downregulation, respectively) in the level of any combination of at least four hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16, such as any combination of at least four hemorrhagic stroke-related molecules listed in Table 5, in the subject relative to the control sample is diagnostic for hemorrhagic stroke, such as an intracerebral hemorrhagic stroke.


In other examples, the method includes determining a level of expression of any combination of at least four sequences listed in Table 5, such as at least 10 or at least 50 of the sequences listed in Table 8, for example at least 40 of the genes listed in Table 2, such as at least 50 of the genes listed in Table 3, such as at least 50 of the genes listed in Table 4, such as at least 50 of the genes listed in Table 6, at least 10 of the hemorrhagic stroke-related molecules listed in Table 7, at least 4 of the hemorrhagic stroke-related molecules listed in Table 15, or at least 10 of the hemorrhagic stroke-related molecules listed in Table 16. In one example, a change in expression detected in at least four genes listed in Table 5 or 8 (or the corresponding proteins), such as at least 10 of the genes (or the corresponding proteins) listed in Table 5 or 8, such as 50 or more of the genes listed in Table 2, 3, 4, 6, 7, 15 or 16 (or the corresponding proteins), such as 500 or more of the genes listed in Table 2, 3, 4, 6, 7, 15 or 16 (or the corresponding proteins, indicates that the subject has had a more severe hemorrhagic stroke, has a higher risk of long term adverse neurological sequalae, or combinations thereof, than a subject having a change in expression in less than 50, such as less than 10 or less than three of the molecules listed in Tables 2-8 and 15-16. Determining the level of expression can involve measuring an amount of the hemorrhagic stroke-related molecules in a sample derived from the subject. Such an amount can be compared to that present in a control sample (such as a sample derived from a subject who has not had a hemorrhagic stroke or a sample derived from the subject at an earlier time), wherein a difference (such as an increase or a decrease reflecting an upregulation or downregulation, respectively) in the level of at least four of the hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16 (such as at least 25 or at least 50 of the hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16) in the subject relative to the control sample indicates that the subject has had a more severe hemorrhagic stroke, has a higher risk of long term adverse neurological sequalae, or both.


The disclosed methods can further include administering to the subject an appropriate treatment to avoid or reduce hemorrhagic injury, if the presence of differential expression indicates that the subject has had a hemorrhagic stroke. Since the results of the disclosed assays are reliable predictors of the hemorrhagic nature of the stroke, the results of the assay can be used (alone or in combination with other clinical evidence and brain scans) to determine whether blood clotting therapy designed to clot a neurovascular hemorrhage should be administered to the subject. In certain example, coagulant or anti-hypertensive therapy (or both) is given to the subject once the results of the differential gene assay are known if the assay provides an indication that the stroke is hemorrhagic in nature. Such methods can reduce brain damage following a hemorrhagic stroke.


In particular examples, the method includes determining if there is an alteration in the expression of at least four sequences listed in Table 5, such as at least 10 or at least 50 of the sequences listed in Table 8, such as at least 10 or at least 50 of the sequences listed in Table 8, for example at least 40 of the genes listed in Table 2, such as at least 50 of the genes listed in Table 3, such as at least 50 of the genes listed in Table 4, such as at least 50 of the genes listed in Table 6, at least 10 of the hemorrhagic stroke-related molecules listed in Table 7, at least 4 of the hemorrhagic stroke-related molecules listed in Table 15, or at least 10 of the hemorrhagic stroke-related molecules listed in Table 16. In some examples, detecting differential expression of at least four hemorrhagic stroke-related molecules involves quantitatively or qualitatively analyzing a DNA, mRNA, cDNA, protein, or combinations thereof.


If differential expression is detected in at least four, at least 5, at least 18, at least 25, at least 30, at least 119, at least 316, at least 446, or at least 1263 hemorrhagic stroke-related molecules is identified, this indicates that the subject has experienced a hemorrhagic stroke (and not an ischemic stroke), and a treatment is selected to prevent or reduce brain damage or to provide protection from the onset of brain damage. Examples of such treatment include administration of a coagulant, an anti-hypertensive, an anti-seizure agent, or combinations thereof. A particular example includes administration of a coagulant to increase clotting of blood at the hemorrhage, alone or in combination with one or more agents that prevent further strokes, such as anti-hypertensive agents or anti-seizure agents. In particular examples, the level of expression of a protein in a subject can be appropriately increased or decreased by expressing in the subject a recombinant genetic construct that includes a promoter operably linked to a nucleic acid molecule, wherein the nucleic acid molecule includes at least 10 (such as at least 15, at least 20, or at least 25) consecutive nucleotides of a hemorrhagic stroke-related nucleic acid sequence (such as any of the sequences listed in Tables 2-8 and 15-16). Expression of the nucleic acid molecule will change expression of the hemorrhagic stroke-related protein. The nucleic acid molecule can be in an antisense orientation relative to the promoter (for example to decrease expression of a gene that is undesirably upregulated) or in sense orientation relative to the promoter (for example to increase expression of a gene that is undesirably downregulated). In some examples, the recombinant genetic construct expresses an ssRNA corresponding to a hemorrhagic stroke-related nucleic acid sequence, such as an siRNA (or other inhibitory RNA molecule that can be used to decrease expression of a hemorrhagic stroke-related molecule whose expression is undesirably increased).


In examples of the methods described herein, detecting differential expression of at least four hemorrhagic stroke-related molecules involves determining whether a gene expression profile from the subject indicates development or progression of brain injury.


In particular examples, the disclosed methods are performed following the onset of signs and symptoms associated with hemorrhagic stroke. Examples of such symptoms include, but are not limited to headache, sensory loss (such as numbness, particularly confined to one side of the body or face), paralysis (such as hemiparesis), pupillary changes, blindness (including bilateral blindness), ataxia, memory impairment, dysarthria, somnolence, and other effects on the central nervous system recognized by those of skill in the art. In particular examples, the method of evaluating a stroke is performed after a sufficient period of time for the differential regulation of the genes (or proteins) to occur, for example at least 24 hours after onset of the symptom or constellation of symptoms that have indicated a potential intracerebral hemorrhagic event. In other examples, the method is performed prior to performing any diagnostics imaging tests (such as those that can find anatomic evidence of hemorrhagic stroke). For example, it can be difficult to quickly obtain a brain scan of a subject using imaging modalities (such as CT and MRI) to detect hemorrhagic strokes. Hence the assay described herein is able to detect the stroke even before definitive brain imaging evidence of the stroke is known.


The neurological sequalae of a hemorrhagic event in the central nervous system can have consequences that range from the insignificant to devastating, and the disclosed assays permit early and accurate stratification of risk of long-lasting neurological impairment. For example, a test performed as early as within the first 24 hours of onset of signs and symptoms of a stroke, and even as late as 2-11 or 7-14 days or even as late as 90 days or more after the event can provide clinical data that is highly predictive of the eventual care needs of the subject.


The disclosed assay is also able to identify subjects who have had a hemorrhagic stroke in the past, for example more than 2 weeks ago or even more than 90 days ago. The identification of such subjects helps evaluate other clinical data (such as neurological impairment or brain imaging information) to determine whether a hemorrhagic stroke has occurred.


In particular examples, the disclosed methods provide a lower cost alternative to expensive imaging modalities (such as MRI and CT scans), can be used in instances where those imaging modalities are not available (such as in field hospitals), can be more convenient than placing people in scanners (especially considering that some people are not able to fit in the scanner, or can not be subjected to MRI if they have certain types of metallic implants in their bodies), or combinations thereof.


Clinical Specimens

Appropriate specimens for use with the current disclosure in diagnosing and prognosing hemorrhagic stroke include any conventional clinical samples, for instance blood or blood-fractions (such as serum). Techniques for acquisition of such samples are well known in the art (for example see Schluger et al. J. Exp. Med. 176:1327-33, 1992, for the collection of serum samples). Serum or other blood fractions can be prepared in the conventional manner. For example, about 200 μL of serum can be used for the extraction of DNA for use in amplification reactions. However, if DNA is not amplified, larger amounts of blood can be collected. For example, if at least 5 μg of mRNA is desired, about 20-30 mls of blood can be collected.


In one example, PBMCs are used as a source of isolated nucleic acid molecules or proteins. Substantially purified or isolated PBMCs are those that have been separated, for example, from other leukocytes in the blood. One advantage of using blood (for example instead of brain tissue) is that it is easily available can be drawn serially. In a particular example, PBMCs are isolated from a subject suspected of having had a hemorrhagic stroke, or known to have had a hemorrhagic stroke, such as an intracerebral hemorrhagic stroke. If needed, control PBMCs can be obtained from a subject who has not had a stroke, or has had an ischemic stroke.


Once a sample has been obtained, the sample can be used directly, concentrated (for example by centrifugation or filtration), purified, amplified, or combinations thereof. For example, rapid DNA preparation can be performed using a commercially available kit (such as the InstaGene Matrix, BioRad, Hercules, Calif.; the NucliSens isolation kit, Organon Teknika, Netherlands. In one example, the DNA preparation method yields a nucleotide preparation that is accessible to, and amenable to, nucleic acid amplification. Similarly, RNA can be prepared using a commercially available kit (such as the RNeasy Mini Kit, Qiagen, Valencia, Calif.).


In particular examples, proteins or nucleic acid molecules isolated from PBMCs are contacted with or applied to a hemorrhagic stroke detection array.


Arrays for Detecting Nucleic Acid and Protein Sequences

In particular examples, methods for detecting a change in expression in the disclosed hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16 use the arrays disclosed herein. Arrays can be used to detect the presence of sequences whose expression is upregulated or downregulated in response to a hemorrhagic stroke, such as sequences listed in Tables 2-8 and 15-16, for example using specific oligonucleotide probes or antibody probes. The arrays herein termed “hemorrhagic stroke detection arrays,” are used to evaluate a stroke, for example to determine whether a subject has had a hemorrhagic stroke (such as an intracerebral hemorrhagic stroke), determine the severity of the stroke, predict the likelihood of neurological recovery of a subject who has had a hemorrhagic stroke, to identify an appropriate therapy for a subject who has had a hemorrhagic stroke, or combinations thereof. In particular examples, the disclosed arrays can include nucleic acid molecules, such as DNA or RNA molecules, or antibodies.


Nucleic Acid Arrays

In one example, the array includes nucleic acid oligonucleotide probes that can hybridize to nucleic acid molecules (such as gene, cDNA or mRNA sequences). For example, the array can consist or consist essentially of any combination of probes that specifically bind to or hybridize to at least four of the hemorrhagic stroke-related sequences listed in Tables 2-8 and 15-16, such as at least 10, at least 20, at least 25, at least 30, at least 50, at least 100, at least 119, at least 140, at least 180, at least 200, at least 300, at least 316, at least 446, at least 500, at least 1000, or at least 1263 of the genes listed in any of Tables 2-8 and 15-16, such as at least 25 of the hemorrhagic stroke-related gene sequences listed in Table 2, at least 100 of the genes listed in Table 3, at least 20 of the genes listed in Table 4, at least 10 of the genes listed in Table 5, at least 50 of the genes listed in Table 6, at least 10 of the genes listed in Table 7, at least 4 of the genes listed in Table 15, or at least 10 of the genes listed in Table 16. In particular examples, an array comprises, consists essentially of, or consists of, oligonucleotides that can recognize all 47 hemorrhagic stroke-associated genes listed in Table 2, all 1263 of the hemorrhagic stroke-related genes listed in Table 3, all 119 of the hemorrhagic stroke-related genes listed in Table 4, all 30 of the hemorrhagic stroke-related genes listed in Table 5, all 446 of the hemorrhagic stroke-related genes listed in Table 6, all 25 of the hemorrhagic stroke-related genes listed in Table 7, all 316 of the hemorrhagic stroke-related genes listed in Table 8, all 5 of the hemorrhagic stroke-related genes listed in Table 15, all 18 of the hemorrhagic stroke-related genes listed in Table 16, or combinations thereof. Certain of such arrays (as well as the methods described herein) can include hemorrhagic stroke-related molecules that are not listed in Tables 2-8 and 15-16. In some examples, the array includes one or more probes that serve as controls. An array that consists essentially of probes that can hybridize to the listed hemorrhagic stroke-related genes includes control probes, such as 1-50 control probes (for example 1-20 or 1-10 control probes), ischemic stroke probes (such as at least four of those in Tables 17-18, for example probes that recognize all molecules listed in Tables 17-18), stroke diagnostic probes (such as at least 4 of those listed in Table 14, for example probes that recognize all molecules listed in Table 14), or combinations thereof.


In a specific example, an array includes, consists essentially of, or consists of oligonucleotide probes that can recognize at least IL1R2, haptoglobin, amphiphysin, TAP2, CD163, and granzyme M. For example, the array can include, consist essentially of, or consist of oligonucleotide probes that can recognize at least 1, at least 2, at least 3, at least 4, at least 5 or at least 6 of the following: IL1R2, haptoglobin, amphiphysin, TAP2, CD163, and granzyme M. For example, if the array includes probes that recognize 1-6 of these, in particular examples the array only further includes other hemorrhagic stroke-related sequences, and in some examples the array only further includes other hemorrhagic stroke-related sequences and probes that serve as controls.


In another specific example, an array includes, consists essentially of, or consists of oligonucleotide probes that can recognize at least one gene involved in the acute inflammatory response, at least one gene involved in cell adhesion, at least one gene involved in suppression of the immune response, at least one gene involved in hypoxia, at least one gene involved in vascular repair, at least one gene involved in the response to the altered cerebral microenvironment, and at least one gene involved in signal transduction, or at least 2, at least 3, at least 5, or at least 10 genes from each of these families.


In one example, a set of oligonucleotide probes is attached to the surface of a solid support for use in detection of hemorrhagic stroke-associated sequences, such as those nucleic acid sequences (such as cDNA or mRNA) obtained from the subject. Additionally, if an internal control nucleic acid sequence is used (such as a nucleic acid sequence obtained from a PBMC from a subject who has not had a hemorrhagic stroke or a nucleic acid sequence obtained from a PBMC from a subject who has had an ischemic stroke) an oligonucleotide probe can be included to detect the presence of this control nucleic acid molecule.


The oligonucleotide probes bound to the array can specifically bind sequences obtained from the subject, or amplified from the subject (such as under high stringency conditions). Thus, sequences of use with the method are oligonucleotide probes that recognize hemorrhagic stroke-related sequences, such as gene sequences (or corresponding proteins) listed in Tables 2-8 and 15-16. Such sequences can be determined by examining the hemorrhagic stroke-related sequences, and choosing oligonucleotide sequences that specifically anneal to a particular hemorrhagic stroke-related sequence (such as those listed in Tables 2-8 and 15-16 or represented by those listed in Tables 2-8 and 15-16), but not others. One of skill in the art can identify other hemorrhagic stroke-associated oligonucleotide molecules that can be attached to the surface of a solid support for the detection of other hemorrhagic stroke-associated nucleic acid sequences.


The methods and apparatus in accordance with the present disclosure takes advantage of the fact that under appropriate conditions oligonucleotides form base-paired duplexes with nucleic acid molecules that have a complementary base sequence. The stability of the duplex is dependent on a number of factors, including the length of the oligonucleotides, the base composition, and the composition of the solution in which hybridization is effected. The effects of base composition on duplex stability can be reduced by carrying out the hybridization in particular solutions, for example in the presence of high concentrations of tertiary or quaternary amines.


The thermal stability of the duplex is also dependent on the degree of sequence similarity between the sequences. By carrying out the hybridization at temperatures close to the anticipated Tm's of the type of duplexes expected to be formed between the target sequences and the oligonucleotides bound to the array, the rate of formation of mis-matched duplexes may be substantially reduced.


The length of each oligonucleotide sequence employed in the array can be selected to optimize binding of target hemorrhagic stroke-associated nucleic acid sequences. An optimum length for use with a particular hemorrhagic stroke-associated nucleic acid sequence under specific screening conditions can be determined empirically. Thus, the length for each individual element of the set of oligonucleotide sequences including in the array can be optimized for screening. In one example, oligonucleotide probes are from about 20 to about 35 nucleotides in length or about 25 to about 40 nucleotides in length.


The oligonucleotide probe sequences forming the array can be directly linked to the support. Alternatively, the oligonucleotide probes can be attached to the support by non-hemorrhagic stroke-associated sequences such as oligonucleotides or other molecules that serve as spacers or linkers to the solid support.


Protein Arrays

In another example, an array includes, consists essentially of, or consists of protein sequences (or a fragment of such proteins, or antibodies specific to such proteins or protein fragments) that can specifically bind to at least four of the hemorrhagic stroke-related protein sequences listed in 2-8 and 15-16, such as at least 25 of the hemorrhagic stroke-related protein sequences listed in Table 2, at least 100 of the proteins listed in Table 3, at least 20 of the proteins listed in Table 4, at least 10 of the proteins listed in Table 5, at least 50 of the proteins listed in Table 6, at least 10 of the proteins listed in Table 7, at least 4 of the proteins listed in Table 15, or at least 10 of the proteins listed in Table 16. In particular examples, an array comprises, consists essentially of, or consists of, proteins that can recognize all 47 hemorrhagic stroke-associated proteins listed in Table 2, all 1263 of the hemorrhagic stroke-related proteins listed in Table 3, all 119 of the hemorrhagic stroke-related proteins listed in Table 4, all 30 of the hemorrhagic stroke-related proteins listed in Table 5, all 446 of the hemorrhagic stroke-related proteins listed in Table 6, all 25 of the hemorrhagic stroke-related proteins listed in Table 7, all 316 of the hemorrhagic stroke-related proteins listed in Table 8, all 5 of the hemorrhagic stroke-related proteins listed in Table 15, all 18 of the hemorrhagic stroke-related proteins listed in Table 16, or combinations thereof. Such arrays can also comprise, consist essentially of, or consist of any particular subset of the proteins listed in Tables 2-8 and 15-16. For example, an array can include probes that can recognize at least one protein involved in the acute inflammatory response, at least one protein involved in cell adhesion, at least one protein involved in suppression of the immune response, at least one protein involved in hypoxia, at least one protein involved in vascular repair, at least one gene involved in the response to the altered cerebral microenvironment, and at least one gene involved in signal transduction, or at least 2, at least 3, at least 5, or at least 10 proteins from each of these families. In another specific example, the array includes protein probes that recognize one or more of the following proteins: IL1R2, haptoglobin, amphiphysin, TAP2, CD163, Sema4C, or granzyme M. For example, the array can include a protein probe that recognizes IL1R2 and additional probes that recognize other hemorrhagic stroke-related proteins (such as any combination of at least 3 or at least 25 of those listed in Tables 2-8 and 15-16). For example, if the array includes probes that recognize these, in particular examples the array only further includes other hemorrhagic stroke-related proteins, and in some examples the array only further includes other hemorrhagic stroke-related proteins and probes that serve as controls. An array that consists essentially of probes that can detect the listed hemorrhagic stroke-related proteins, further includes control probes, such as 1-50 control probes (for example 1-20 or 1-10 control probes).


The proteins or antibodies forming the array can be directly linked to the support. Alternatively, the proteins or antibodies can be attached to the support by spacers or linkers to the solid support.


Changes in expression of hemorrhagic stroke-related proteins can be detected using, for instance, a hemorrhagic stroke protein-specific binding agent, which in some instances is labeled with an agent that can be detected. In certain examples, detecting a change in protein expression includes contacting a protein sample obtained from the PBMCs of a subject with a hemorrhagic stroke protein-specific binding agent (which can be for example present on an array); and detecting whether the binding agent is bound by the sample and thereby measuring the levels of the hemorrhagic stroke-related protein present in the sample. A difference in the level of at least four hemorrhagic stroke-related proteins in the sample, relative to the level of the hemorrhagic stroke-related proteins found an analogous sample from a subject who has not had a hemorrhagic stroke, in particular examples indicates that the subject has suffered a hemorrhagic stroke.


Array Substrate

The solid support can be formed from an organic polymer. Suitable materials for the solid support include, but are not limited to: polypropylene, polyethylene, polybutylene, polyisobutylene, polybutadiene, polyisoprene, polyvinylpyrrolidine, polytetrafluroethylene, polyvinylidene difluoride, polyfluoroethylene-propylene, polyethylenevinyl alcohol, polymethylpentene, polychlorotrifluoroethylene, polysulformes, hydroxylated biaxially oriented polypropylene, aminated biaxially oriented polypropylene, thiolated biaxially oriented polypropylene, etyleneacrylic acid, thylene methacrylic acid, and blends of copolymers thereof (see U.S. Pat. No. 5,985,567).


In general, suitable characteristics of the material that can be used to form the solid support surface include: being amenable to surface activation such that upon activation, the surface of the support is capable of covalently attaching a biomolecule such as an oligonucleotide thereto; amenability to “in situ” synthesis of biomolecules; being chemically inert such that at the areas on the support not occupied by the oligonucleotides or proteins (such as antibodies) are not amenable to non-specific binding, or when non-specific binding occurs, such materials can be readily removed from the surface without removing the oligonucleotides or proteins (such as antibodies).


In one example, the solid support surface is polypropylene. Polypropylene is chemically inert and hydrophobic. Non-specific binding is generally avoidable, and detection sensitivity is improved. Polypropylene has good chemical resistance to a variety of organic acids (such as formic acid), organic agents (such as acetone or ethanol), bases (such as sodium hydroxide), salts (such as sodium chloride), oxidizing agents (such as peracetic acid), and mineral acids (such as hydrochloric acid). Polypropylene also provides a low fluorescence background, which minimizes background interference and increases the sensitivity of the signal of interest.


In another example, a surface activated organic polymer is used as the solid support surface. One example of a surface activated organic polymer is a polypropylene material aminated via radio frequency plasma discharge. Such materials are easily utilized for the attachment of nucleotide molecules. The amine groups on the activated organic polymers are reactive with nucleotide molecules such that the nucleotide molecules can be bound to the polymers. Other reactive groups can also be used, such as carboxylated, hydroxylated, thiolated, or active ester groups.


Array Formats

A wide variety of array formats can be employed in accordance with the present disclosure. One example includes a linear array of oligonucleotide bands, generally referred to in the art as a dipstick. Another suitable format includes a two-dimensional pattern of discrete cells (such as 4096 squares in a 64 by 64 array). As is appreciated by those skilled in the art, other array formats including, but not limited to slot (rectangular) and circular arrays are equally suitable for use (see U.S. Pat. No. 5,981,185). In one example, the array is formed on a polymer medium, which is a thread, membrane or film. An example of an organic polymer medium is a polypropylene sheet having a thickness on the order of about 1 mil. (0.001 inch) to about 20 mil., although the thickness of the film is not critical and can be varied over a fairly broad range. The array can include biaxially oriented polypropylene (BOPP) films, which in addition to their durability, exhibit a low background fluorescence.


The array formats of the present disclosure can be included in a variety of different types of formats. A “format” includes any format to which the solid support can be affixed, such as microtiter plates, test tubes, inorganic sheets, dipsticks, and the like. For example, when the solid support is a polypropylene thread, one or more polypropylene threads can be affixed to a plastic dipstick-type device; polypropylene membranes can be affixed to glass slides. The particular format is, in and of itself, unimportant. All that is necessary is that the solid support can be affixed thereto without affecting the functional behavior of the solid support or any biopolymer absorbed thereon, and that the format (such as the dipstick or slide) is stable to any materials into which the device is introduced (such as clinical samples and hybridization solutions).


The arrays of the present disclosure can be prepared by a variety of approaches. In one example, oligonucleotide or protein sequences are synthesized separately and then attached to a solid support (see U.S. Pat. No. 6,013,789). In another example, sequences are synthesized directly onto the support to provide the desired array (see U.S. Pat. No. 5,554,501). Suitable methods for covalently coupling oligonucleotides and proteins to a solid support and for directly synthesizing the oligonucleotides or proteins onto the support are known to those working in the field; a summary of suitable methods can be found in Matson et al., Anal. Biochem. 217:306-10, 1994. In one example, the oligonucleotides are synthesized onto the support using conventional chemical techniques for preparing oligonucleotides on solid supports (such as see PCT applications WO 85/01051 and WO 89/10977, or U.S. Pat. No. 5,554,501).


A suitable array can be produced using automated means to synthesize oligonucleotides in the cells of the array by laying down the precursors for the four bases in a predetermined pattern. Briefly, a multiple-channel automated chemical delivery system is employed to create oligonucleotide probe populations in parallel rows (corresponding in number to the number of channels in the delivery system) across the substrate. Following completion of oligonucleotide synthesis in a first direction, the substrate can then be rotated by 90° to permit synthesis to proceed within a second (2° set of rows that are now perpendicular to the first set. This process creates a multiple-channel array whose intersection generates a plurality of discrete cells.


The oligonucleotides can be bound to the polypropylene support by either the 3′ end of the oligonucleotide or by the 5′ end of the oligonucleotide. In one example, the oligonucleotides are bound to the solid support by the 3′ end. However, one of skill in the art can determine whether the use of the 3′ end or the 5′ end of the oligonucleotide is suitable for bonding to the solid support. In general, the internal complementarity of an oligonucleotide probe in the region of the 3′ end and the 5′ end determines binding to the support.


In particular examples, the oligonucleotide probes on the array include one or more labels, that permit detection of oligonucleotide probe:target sequence hybridization complexes.


Detection of Nucleic Acid and Protein Molecules

The nucleic acid molecules and proteins obtained from the subject (for example from PBMCs) can contain altered levels of one or more genes associated with hemorrhagic stroke, such as those listed in Tables 2-8 and 15-16. Changes in expression can be detected to evaluate a stroke, or example to determine if the subject has had a hemorrhagic stroke, to determine the severity of the stroke, to determine the likelihood of neurological recovery of a subject who has had a hemorrhagic stroke, to determine the appropriate therapy for a subject who has had a hemorrhagic stroke, or combinations thereof. The present disclosure is not limited to particular methods of detection. Any method of detecting a nucleic acid molecule or protein can be used, such as physical or functional assays. For example, the level of gene activation can be quantitated utilizing methods well known in the art and those disclosed herein, such as Northern-Blots, RNase protection assays, nucleic acid or antibody probe arrays, quantitative PCR (such as TaqMan assays), dot blot assays, in-situ hybridization, or combinations thereof. In addition, proteins can be quantitated using antibody probe arrays, quantitative spectroscopic methods (for example mass spectrometry, such as surface-enhanced laser desorption/ionization (SELDI)-based mass spectrometry), or combinations thereof.


Methods for labeling nucleic acid molecules and proteins so that they can be detected are well known. Examples of such labels include non-radiolabels and radiolabels. Non-radiolabels include, but are not limited to enzymes, chemiluminescent compounds, fluorophores, metal complexes, haptens, colorimetric agents, dyes, or combinations thereof. Radiolabels include, but are not limited to, 3H, 125I and 35S. Radioactive and fluorescent labeling methods, as well as other methods known in the art, are suitable for use with the present disclosure. In one example, the primers used to amplify the subject's nucleic acids are labeled (such as with biotin, a radiolabel, or a fluorophore). In another example, the amplified nucleic acid samples are end-labeled to form labeled amplified material. For example, amplified nucleic acid molecules can be labeled by including labeled nucleotides in the amplification reactions. In another example, nucleic acid molecules obtained from a subject are labeled, and applied to an array containing oligonucleotides. In a particular example, proteins obtained from a subject are labeled and subsequently analyzed, for example by applying them to an array.


In one example, nucleic acid molecules obtained from the subject that include those molecules associated with hemorrhagic stroke are applied to an hemorrhagic stroke detection array for time sufficient and under conditions (such as very high stringency or high stringency hybridization conditions) sufficient to allow hybridization between the isolated nucleic acid molecules and the probes on the array, thereby forming a hybridization complex of isolated nucleic acid molecule:oligonucleotide probe. In particular examples, the isolated nucleic acid molecules or the oligonucleotide probes (or both) include a label. In one example, a pre-treatment solution of organic compounds, solutions that include organic compounds, or hot water, can be applied before hybridization (see U.S. Pat. No. 5,985,567).


Hybridization conditions for a given combination of array and target material can be optimized routinely in an empirical manner close to the Tm of the expected duplexes, thereby maximizing the discriminating power of the method. Identification of the location in the array, such as a cell, in which binding occurs, permits a rapid and accurate identification of sequences associated with hemorrhagic stroke present in the amplified material (see below).


The hybridization conditions are selected to permit discrimination between matched and mismatched oligonucleotides. Hybridization conditions can be chosen to correspond to those known to be suitable in standard procedures for hybridization to filters and then optimized for use with the arrays of the disclosure. For example, conditions suitable for hybridization of one type of target would be adjusted for the use of other targets for the array. In particular, temperature is controlled to substantially eliminate formation of duplexes between sequences other than exactly complementary hemorrhagic stroke-associated wild-type of mutant sequences. A variety of known hybridization solvents can be employed, the choice being dependent on considerations known to one of skill in the art (see U.S. Pat. No. 5,981,185).


Once the nucleic acid molecules associated with hemorrhagic stroke from the subject have been hybridized with the oligonucleotides present in the hemorrhagic stroke detection array, the presence of the hybridization complex can be analyzed, for example by detecting the complexes. For example the complexes can be detected to determine if there are changes in gene expression (such as increases or decreases), such as changes in expression of any combination of four or more of the genes listed in Tables 2-8 and 15-16, such as 20 or more of the genes listed in Tables 2-8 and 15-16, or such as 150 or more of the genes listed in Tables 2-8 and 15-16. In particular examples, changes in gene expression are quantitated, for instance by determining the amount of hybridization. In particular examples, the hybridization complexes formed are compared to hybridization complexes formed by a control, such as complexes formed between nucleic acid molecules isolated from a subject who has had an ischemic stroke, has had no stroke, or both, and the probes on the hemorrhagic stroke detection array.


The presence of increased expression of four or more genes listed in Tables 2-8 and 15-16 with a positive t-statistic value (such as a t-statistic value of at least 3) or positive FC value (such as at least 1.2), or decreased expression of four or more genes listed in Tables 2-8 and 16 with a negative t-statistic value (such as a t-statistic value of no more than −3) or negative FC value (such as less than −1.2), or any combination thereof, such as decreased expression of at least one gene and increased expression of at least 3 genes listed in Tables 2-8 or 15-16, after multiple comparison correction, indicates that the subject has had a hemorrhagic stroke (such as an ICH). In particular examples, the intensity of the t-value can indicate the severity of the hemorrhagic stroke. For example, detection of a t-statistic of 19 for IL1R2 as compared to detection of a t-statistic of 3 for IL1R2 indicates a more severe stroke.


Detecting a hybridized complex in an array of oligonucleotide probes has been previously described (see U.S. Pat. No. 5,985,567). In one example, detection includes detecting one or more labels present on the oligonucleotides, the sequences obtained from the subject, or both. In particular examples, developing includes applying a buffer. In one example, the buffer is sodium saline citrate, sodium saline phosphate, tetramethylammonium chloride, sodium saline citrate in ethylenediaminetetra-acetic, sodium saline citrate in sodium dodecyl sulfate, sodium saline phosphate in ethylenediaminetetra-acetic, sodium saline phosphate in sodium dodecyl sulfate, tetramethylammonium chloride in ethylenediaminetetra-acetic, tetramethylammonium chloride in sodium dodecyl sulfate, or combinations thereof. However, other suitable buffer solutions can also be used.


Detection can further include treating the hybridized complex with a conjugating solution to effect conjugation or coupling of the hybridized complex with the detection label, and treating the conjugated, hybridized complex with a detection reagent. In one example, the conjugating solution includes streptavidin alkaline phosphatase, avidin alkaline phosphatase, or horseradish peroxidase. Specific, non-limiting examples of conjugating solutions include streptavidin alkaline phosphatase, avidin alkaline phosphatase, or horseradish peroxidase. The conjugated, hybridized complex can be treated with a detection reagent. In one example, the detection reagent includes enzyme-labeled fluorescence reagents or calorimetric reagents. In one specific non-limiting example, the detection reagent is enzyme-labeled fluorescence reagent (ELF) from Molecular Probes, Inc. (Eugene, Oreg.). The hybridized complex can then be placed on a detection device, such as an ultraviolet (UV) transilluminator (manufactured by UVP, Inc. of Upland, Calif.). The signal is developed and the increased signal intensity can be recorded with a recording device, such as a charge coupled device (CCD) camera (manufactured by Photometrics, Inc. of Tucson, Ariz.). In particular examples, these steps are not performed when fluorophores or radiolabels are used.


Similar methods can be used to detect and analyze complexes formed between antibodies on an array and hemorrhagic stroke proteins. Hemorrhagic stroke proteins obtained from the subject (for example from PBMCs) are applied to an hemorrhagic stroke detection array for time sufficient and under conditions sufficient to allow specific binding between the isolated proteins and the antibody probes on the array, thereby forming a complex of isolated protein:antibody probe. In particular examples, the isolated proteins or the probes (or both) include a label. In one example, a pre-treatment solution of organic compounds, solutions that include organic compounds, or hot water, can be applied before hybridization (see U.S. Pat. No. 5,985,567). Identification of the location in the array, such as a cell, in which binding occurs, permits a rapid and accurate identification of sequences associated with hemorrhagic stroke present in the amplified material.


Once the proteins associated with hemorrhagic stroke from the subject bind to the antibody (or other probe) present in the hemorrhagic stroke detection array, the presence of the complex can be analyzed, for example by detecting the complexes. For example the complexes can be detected to determine if there are changes in gene expression (such as increases or decreases), such as changes in expression of any combination of four or more of the proteins listed in Tables 2-8 and 15-16, such as 20 or more of the proteins listed in Tables 2-8 and 15-16, or such as 150 or more of the proteins listed in Tables 2-8 and 15-16. In particular examples, changes in protein expression are quantitated, for instance by determining the amount of binding. In particular examples, the complexes formed are compared to complexes formed by a control, such as complexes formed between proteins isolated from a subject who has had an ischemic stroke, has had no stroke, or both, and the probes on the hemorrhagic stroke detection array.


The presence of increased expression of four or more proteins listed in Tables 2-4 or 6-7 with a positive t-statistic value (such as a t-statistic value of at least 3 or at least 6) or listed in Table 15 or 16 with a positive FC value, or decreased expression of four or more genes listed in Tables 2-4 or 6-7 with a negative t-statistic value (such as a t-statistic value of no more than −3 such as no more than −6) or listed in Table 16 with a negative FC value, or any combination thereof such as decreased expression of at least one gene and increased expression of at least 3 genes listed in Tables 2-4, 6-7 or 15-16, after multiple comparison correction, indicates that the subject has had a hemorrhagic stroke (such as an ICH). In particular examples, the intensity of the T-value can indicate the severity of the hemorrhagic stroke. For example, detection of a t-statistic of 15 for IL1R2 as compared to detection of a t-statistic of 5 for IL1R2, indicates a more severe stroke.


Detecting a hybridized complex in an array of antibody probes has been previously described (for example see Sanchez-Carbayo, Antibody Arrays: Technical Considerations And Clinical Applications in Cancer, Clin. Chem. 2006 Jun. 29). In one example, detection includes detecting one or more labels present on the antibodies, the proteins obtained from the subject, or both. In particular examples, developing includes applying a buffer. In one example, the buffer is sodium saline citrate, sodium saline phosphate, tetramethylammonium chloride, sodium saline citrate in ethylenediaminetetra-acetic, sodium saline citrate in sodium dodecyl sulfate, sodium saline phosphate in ethylenediaminetetra-acetic, sodium saline phosphate in sodium dodecyl sulfate, tetramethylammonium chloride in ethylenediaminetetra-acetic, tetramethylammonium chloride in sodium dodecyl sulfate, or combinations thereof. However, other suitable buffer solutions can also be used.


Kits

The present disclosure provides for kits that can be used to evaluate a stroke, for example to determine if a subject has had a hemorrhagic stroke (such as an intracerebral hemorrhagic stroke), to determine the severity of the stroke, to determine the likelihood of neurological recovery of a subject who has had a hemorrhagic stroke, to determine the appropriate therapy for a subject who has had a hemorrhagic stroke, or combinations thereof. Such kits allow one to determine if a subject has a differential expression in hemorrhagic stroke-related genes, such as any combination of four or more of those listed in Tables 2-8 and 15-16, such as any combination of 10 or more of those listed in Tables 2-8 and 15-16, or any combination of 50 or more of those listed in Tables 2-8 and 15-16, for example any combination of at least one gene from each of the following classes of genes, genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction (such as at least 2 or at least 3 genes from each gene class).


In particular examples, the disclosed kits include one or more of the disclosed arrays. For example, the kits can include a binding molecule, such as an oligonucleotide probe that selectively hybridizes to a hemorrhagic stroke-related molecule that is the target of the kit. In particular examples, the oligonucleotides probes are attached to an array. In one example, the kit includes oligonucleotide probes or primers (or antibodies) that recognize any combination of at least four of the molecules in Table 5 or 8, such as at least 5, at least 10, at least 15, at least 20, at least 50, at least 60, at least 100, at least 119, at least 150, at least 170, at least 175, at least 180, at least 185, at least 200, at least 316, at least 446, at least 500, at least 525, at least 550, at least 1000, or at least 1263 of the sequences listed in any of Tables 2-8 and 15-16. In particular examples, the kit includes oligonucleotide probes or primers (or antibodies) that recognize at least one gene (or protein) from each of the following classes, genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction, such as at least 2, at least 3, at least 5, or at least 10 genes from each class.


In one particular example, the kit includes oligonucleotide probes or primers (or antibodies) that recognize at least IL1R2, CD163, amphiphysin, and TAP2. In one particular example, the kit includes oligonucleotide probes or primers (or antibodies) that recognize at least 1, at least 2, at least 3, or at least 4, of IL1R2, CD163, amphiphysin, and TAP2, and can further include oligonucleotide probes or primers (or antibodies) that recognize haptoglobin, granzyme M or Sema4C. In another particular example, the kit includes oligonucleotide probes or primers (or antibodies) that recognize IL1R2, for example in combination with oligonucleotide probes or primers (or antibodies) that recognize any combination of at least three hemorrhagic stroke related molecules listed in Tables 2-8 and 15-16.


In a particular example, kits include antibodies capable of binding to hemorrhagic stroke-related proteins. Such antibodies can be present on an array.


In particular examples, the kit further includes an array for diagnosis of stroke, such as an array that consists essentially of or consists of at least four probes specific for the molecules listed in Table 14 (such as all the molecules listed in Table 14). In some examples, the kit further includes an array for classification of ischemic stroke, such as an array that consists essentially of or consists of at least 4 probes specific for the molecules listed in Tables 17 and 18 (such as all the molecules listed in Tables 17 and 18). An array that “consists essentially of” particular probes can further include control probes (such as 1-10 or 1-50 control probes), but not other probes.


The kit can further include one or more of a buffer solution, a conjugating solution for developing the signal of interest, or a detection reagent for detecting the signal of interest, each in separate packaging, such as a container. In another example, the kit includes a plurality of hemorrhagic stroke-related target nucleic acid sequences for hybridization with a hemorrhagic stroke detection array to serve as positive control. The target nucleic acid sequences can include oligonucleotides such as DNA, RNA, and peptide-nucleic acid, or can include PCR fragments.


Hemorrhagic Stroke Therapy

The present disclosure also provides methods of reducing brain injury in a subject determined to have suffered a hemorrhagic stroke, such as an intracerebral hemorrhagic stroke. For example, if using the assays described above a change in expression in at least four of the hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16 is detected in the subject, for example at least five of the hemorrhagic stroke-related molecules listed in Tables 5 or 8 is detected in the subject, a treatment is selected to avoid or reduce brain injury or to delay the onset of brain injury. In another example, if using the screening methods described above a change in expression in at least 50 of the hemorrhagic stroke-related molecules listed in any of Tables 2-8 and 15-16 is detected in the subject, a treatment is selected to avoid or reduce brain injury or to delay the onset of brain injury. The subject then can be treated in accordance with this selection, for example by administration of agents that increase blood clotting, reduce blood pressure, reduce intracerebral pressure, reduce brain swelling, reduce seizures, or combinations thereof. Particular examples of such agents include one or more coagulants, one or more anti-hypertensives, or combinations thereof. In some examples, the treatment selected is specific and tailored for the subject, based on the analysis of that subject's profile for one or more hemorrhagic stroke-related molecules.


Screening Test Agents

Based on the identification of multiple hemorrhagic stroke-related molecules whose expression is altered following a hemorrhagic stroke (such as those listed in Tables 2-8 and 15-16), the disclosure provides methods for identifying agents that can enhance, normalize, or reverse these effects. For example, the method permits identification of agents that normalize activity of a hemorrhagic stroke-related molecule, such as a gene (or its corresponding protein) involved in suppression of the immune response, anaerobic metabolism, vascular repair, calcium-binding proteins, and ubiquitin-related genes, or combinations thereof. Normalizing activity (such as the expression) of a hemorrhagic stroke-related molecule can include decreasing activity of a hemorrhagic stroke-related molecule whose activity is increased following a hemorrhagic stroke, or increasing activity of a hemorrhagic stroke-related molecule whose activity is decreased following a hemorrhagic stroke. In another example, the method permits identification of agents that enhance the activity of a hemorrhagic stroke-related molecule, such as a hemorrhagic stroke-related molecule whose activity provides a protective effect to the subject following a hemorrhagic stroke. For example, the method permits identification of agonists. In yet another example, the method permits identification of agents that decrease the activity of a hemorrhagic stroke-related molecule, such as a hemorrhagic stroke-related molecule whose activity results in one or more negative symptoms of hemorrhagic stroke. For example, the method permits identification of antagonists.


In particular examples the identified agents can be used to treat a subject who has had a hemorrhagic stroke (such as an intracerebral hemorrhagic stroke), for example to alleviate or prevent one or more symptoms of a hemorrhagic stroke, such as paralysis or memory loss.


The disclosed methods can be performed in vitro, for example by adding the test agent to cells in culture, or in vivo, for example by administering the test agent to a mammal (such as a human or a laboratory animal, for example a mouse, rat, dog, or rabbit). In particular examples, the method includes exposing the cell or mammal to conditions sufficient for mimicking a hemorrhagic stroke. The one or more test agents are added to the cell culture or administered to the mammal under conditions sufficient to alter the activity of one or more hemorrhagic stroke-related molecules, such as at least one of the molecules listed in Tables 2-8 and 15-16. Subsequently, the activity of the hemorrhagic stroke-related molecule is determined, for example by measuring expression of one or more hemorrhagic stroke-related molecules or by measuring an amount of biological activity of one or more hemorrhagic stroke-related proteins. A change in the activity one or more hemorrhagic stroke-related molecule indicates that the test agent alters the activity of a hemorrhagic stroke-related molecule listed in Tables 2-8 and 15-16. In particular examples, the change in activity is determined by a comparison to a standard, such as an amount of activity present when no hemorrhagic stroke has occurred, or an amount of activity present when a hemorrhagic stroke has occurred, or to a control.


Any suitable compound or composition can be used as a test agent, such as organic or inorganic chemicals, including aromatics, fatty acids, and carbohydrates; peptides, including monoclonal antibodies, polyclonal antibodies, and other specific binding agents; phosphopeptides; or nucleic acid molecules. In a particular example, the test agent includes a random peptide library (for example see Lam et al., Nature 354:82-4, 1991), random or partially degenerate, directed phosphopeptide libraries (for example see Songyang et al., Cell 72:767-78, 1993). A test agent can also include a complex mixture or “cocktail” of molecules.


Therapeutic agents identified with the disclosed approaches can be used as lead compounds to identify other agents having even greater desired activity. In addition, chemical analogs of identified chemical entities, or variants, fragments, or fusions of peptide test agents, can be tested for their ability to alter activity of a hemorrhagic stroke-related molecule using the disclosed assays. Candidate agents can be tested for safety in animals and then used for clinical trials in animals or humans.


In Vivo Assays

In one example, the method is an in vivo assay. For example, agents identified as candidates in an in vitro assay can be tested in vivo for their ability to alter (such as normalize) the activity of a hemorrhagic stroke-related molecule (such as one or more of those listed in Tables 2-8 and 15-16). In particular examples, the mammal has had a hemorrhagic stroke or has been exposed to conditions that induce a hemorrhagic stroke. Simultaneously or at a time thereafter, one or more test agents are administered to the subject under conditions sufficient for the test agent to have the desired effect on the subject, for example to alter (such as normalize) the activity of a hemorrhagic stroke-related molecule or a pattern of hemorrhagic stroke-related molecules. In particular examples, the test agent has the desired effect on more than one hemorrhagic stroke-related molecule.


Methods of providing conditions sufficient for inducing an ischemic stroke in vivo are known in the art. For example, hemorrhagic stroke can be induced in a mammal by administration of autologous blood or other agents (such as type IV bacterial collagenase), for example administration to the basal ganglia (such as the striatum).


One or more test agents are administered to the subject under conditions sufficient for the test agent to have the desired effect on the subject. Any appropriate method of administration can be used, such as intravenous, intramuscular, intraperitoneal, or transdermal. The agent can be administered at a time subsequent to the hemorrhagic stroke, or at substantially the same time as the hemorrhagic stroke. In one example, the agent is added at least 30 minutes after the hemorrhagic stroke, such as at least 1 hour, at least 2 hours, at least 6 hours, at least 24 hours, at least 72 hours, at least 7 days, at least 14 days, at least 30 days, at least 60 days or even at least 90 days after the hemorrhagic stroke.


Detecting Expression

The effect on the one or more test agents on the activity of one or more hemorrhagic stroke-related molecules can be determined using methods known in the art. For example, the effect on expression of one or more hemorrhagic stroke-related genes can be determined using the arrays and methods disclosed herein. For example, RNA can be isolated from cells obtained from a subject (such as PBMCs) administered the test agent. The isolated RNA can be labeled and exposed to an array containing one or more nucleic acid molecules (such as a primer or probe) that can specifically hybridize to one or more pre-selected hemorrhagic stroke-related genes, such at least 1, at least 2, or at least 3 of those listed in Tables 2-8 and 15-16, or to a pre-selected pattern of such genes that is associated with hemorrhagic stroke. In a particular example, the one or more pre-selected hemorrhagic stroke-related genes include at least one gene involved in acute inflammatory response, at least one gene involved in cell adhesion, at least one gene involved in suppression of the immune response, at least one gene involved in hypoxia, at least one gene involved in hematoma/vascular repair, at least one gene involved in the response to altered cerebral microenvironment and at least one gene involved in signal transduction, or combinations thereof. In another example, proteins are isolated from the cultured cells exposed to the test agent, or from cells obtained from a subject (such as PBMCs) administered the test agent. The isolated proteins can be analyzed to determine amounts of expression or biological activity of one or more hemorrhagic stroke-related proteins, such at least 1, at least 2, or at least 3 of those listed in Tables 2-8 and 15-16, or a pattern of upregulation or downregulation of pre-identified or pre-selected proteins. In a particular example, the one or more pre-selected hemorrhagic stroke-related proteins include at least one involved in acute inflammatory response, at least one protein involved in cell adhesion, at least one protein involved in suppression of the immune response, at least one protein involved in hypoxia, at least one protein involved in hematoma/vascular repair, at least one protein involved in the response to altered cerebral microenvironment and at least one protein involved in signal transduction, or combinations thereof. In a particular example, mass spectrometry is used to analyze the proteins.


In particular examples, differential expression of a hemorrhagic stroke-related molecule is compared to a standard or a control. One example of a control includes the amount of activity of a hemorrhagic stroke-related molecule present or expected in a subject who has not had a hemorrhagic stroke, wherein an increase or decrease in activity in a test sample of a hemorrhagic stroke-related molecule (such as those listed in Tables 2-8 and 15-16) compared to the control indicates that the test agent alters the activity of at least one hemorrhagic stroke-related molecule. Another example of a control includes the amount of activity of a hemorrhagic stroke-related molecule present or expected in a subject who has had a hemorrhagic stroke, wherein an increase or decrease in activity in a test sample (such as gene expression, amount of protein, or biological activity of a protein) of a hemorrhagic stroke-related molecule (such as those listed in Tables 2-8 and 15-16) compared to the control indicates that the test agent alters the activity of at least one hemorrhagic stroke-related molecule. Detecting differential expression can include measuring a change in gene expression, measuring an amount of protein, or determining an amount of the biological activity of a protein present.


In particular examples, test agents that altered the activity of a hemorrhagic stroke-related molecule are selected.


The disclosure is further illustrated by the following non-limiting Examples.


Example 1
Isolation of Samples

This example describes methods used to obtain RNA from PBMCs. Subjects included eight who had an acute intracerebral hemorrhage within the previous 72 hours and up to 5 days (confirmed ICH on neuroimaging studies), 19 who had an acute ischemic stroke (IS) within the previous 72 hours, and 20 control subjects (subjects who had not previously had a stroke). The subjects were reasonably comparable in terms of age, sex and pre-morbid risk factors consistent with a community based stroke population.


Eight patients with ICH were recruited from Suburban Hospital, Bethesda, Md. Inclusion criteria were age >21 years and willingness to participate in the study after informed consent was given. Exclusion criteria were cardiovascular instability, severe anemia (hemoglobin <8.0 g/dL), current infection and current severe allergic disorders. ICH was confirmed by neuroimaging studies, including computed tomography (CT) and/or magnetic resonance imaging (MRI) using gradient recalled echo (GRE) sequences. Included patients with ICH had confluent intracerebral hematomas on neuroimaging studies; those patients with hemorrhagic transformation of a cerebral infarct, traumatic ICH, microbleeds and non-acute ICH were excluded, which greatly reduced our number of ICH patients. Stroke severity was determined by serial neurological examinations and by the NIH Stroke Scale (NIHSS) score (see Brott et al., Stroke 20:871-5, 1989). Prior risk of stroke was estimated from the Framingham Stroke Profile (Wolf et al., Stroke 22:312-8, 1991), a composite score of age, history of hypertension, systolic blood pressure, smoking, cardiovascular disease, diabetes, atrial fibrillation, and left ventricular hypertrophy.


These 20 “normal” subjects were as similar in age and vascular risk factor profiles to the ICH patients as was feasibly possible. Subjects were >21 years of age and willing to participate in the study after informed consent was obtained. Exclusion criteria were active medical problems, current symptomatic infection, and current severe allergic disorders. Stroke risk factors were recorded according to the Framingham risk profile, as described above for the ICH patients.


The clinical and demographic details of the 8 patients with confirmed ICH on neuroimaging studies and the 18 referent subjects in the index cohort are shown in Table 1 (2 of the 20 referent subjects were not included due to poor signal from the array; discussed below). Continuous data are presented as means±SD. Categorical data are presented as numbers (%).


The causes of the ICHs were hypertension (n=4), amyloid angiopathy (n=2), dural arterio-venous fistula (n=1) and uncertain (n=1). The referent subjects were older than the patients with ICH, but not significantly. The groups had similar Framingham stroke risk scores. The referent subjects had a higher rate of statin use than the ICH patients (p=0.03). The two external test cohorts together consisted of 7 ICH patients and 10 referent control subjects.









TABLE 1







Demographics of test subjects












Test Cohort 1





Classification of
Test Cohort 2



Index Cohort
PAM list
Real time PCR













Factor
ICH
Referent
ICH
Referent
ICH
Referent
















N
8
18
 4**
6
 5**
4


Age (years)
69.1
  75.1
79.3 
49.8
{circumflex over ( )}84.5  
49.5


Age range
50-84
62-84
70-86
33-58
83-86
32-58


Sex
5 F, 3 M
10 F, 8 M
2 M, 2 F
3 M, 3 F
2 F, 3 M
2 F, 2 M


Race



















White
7
(88)
13
(72)
4
(100)
5
(83)
5
(100)
3
(75)


African American
1
(12)
4
(22)
0
(0)
0
(0)
0
(0)
0
(0)


Hispanic
0
(0)
1
(6)
0
(0)
0
(0)
0
(0)
1
(25)


Asian
0
(0)
0
(0)
0
(0)
1
(17)
0
(0)
0
(0)


Risk Factors


















HT
5
(63)
10
4
(100)
1
(17)
2
(100)
3
(75)


DM
0
(0)
 2
0
(0)
0
(0)
0
(0)
2
(50)


Smoking history
3
(38)
11
2
(50)
0
(0)
0
(0)
4
(100)


CAD
2
(25)
 2
1
(25)
0
(0)
1
(50)
0
(0)


Hyperlipidemia
4
(50)
13
2
(50)
1
(17)
2
(100)
1
(25)













Framingham
10
  11.9
16  
2
17  
10


Score


Medications



















Antiplatelet
{circumflex over ( )}{circumflex over ( )}{circumflex over ( )}3
(60)
12
(67)
2
(50)
0
(0)
0
(0)
2
(50)


Coumadin
0
(0)
0
(0)
1
(25)
0
(0)
0
(0)
0
(0)


















Statins
1
(20)
 11*
2
(50)
1
(17)
1
(50)
0
(0)


Antihypertensive
3
(60)
11
3
(75)
1
(17)
2
(100)
2
(50)


Stroke-Related













Time (hours)
35.9
N/A
52.3 
N/A
{circumflex over ( )}{circumflex over ( )}52.8   
N/A


NIHSS
12
N/A
7.5
N/A
{circumflex over ( )}4   
N/A


Differential White


Blood Cell Counts


(Thou/μL)


Total
10.0
   5.7*
6.6
4.6
6.8
5.8


Neutrophils
8.2
   3.1*
4.3
2.5
4.7
3.1


Monocytes
0.8
  0.5
0.7
0.3
0.7
0.5


Lymphoctyes
1.4
  1.8
1.5
1.7
1.4
2.1





Medications refer to medications taken prior to the stroke


*p < 0.05


{circumflex over ( )}incomplete clinical data in 3 subjects


{circumflex over ( )}{circumflex over ( )}in 2nd test cohort, there were 8 time points tested after stroke in the 5 ICH subjects, ranging from 2 days until 11 days, time is for first blood draw in the 5 patients


{circumflex over ( )}{circumflex over ( )}{circumflex over ( )}medication data not available in 3 subjects


**two of these patients (ICH) were in the first test cohort and in test cohort 2






Approximately 30 milliliters of blood was drawn via aseptic antecubital fossa venipuncture into four yellow top ACD A tubes (ACD Acid citrate dextrose A, 22.0 g/L trisodium citrate, 8.0 g/L aitric acid, 24.5 g/L dextrose, BD Franklin Lakes, N.J.) by aseptic antecubital fossa venipuncture. In the ICH patients blood was drawn as early as possible after onset (depending on the patient's medical stability and after full and informed consent had been obtained); the times of blood draws were <24 hours (n=2), 24 to 48 hours (n=5), and >48 hours (n=1). Acute stroke patients underwent aseptic antebrachial venipuncture followed by withdrawal of 30 ml of blood as described above, within 5 days of stroke onset.


Total RNA (5 to 15 μg) was isolated from PBMCs within two hours of bloodcollection. PBMCs were separated from whole blood with a density gradient tube (Uni-Sep, Novamed, Jerusalem, Israel) as follows: 20 to 30 mL ACD anticoagulated blood was diluted with an equal volume of phosphate buffer solution (PBS) and added to the density gradient tube, followed by centrifugation at 1000 g for 30 minutes. At the end of centrifugation, the PBMC layer was carefully removed. The PBMC proportions obtained were ˜<60% T-cell lymphocytes, ˜15% monocytes/macrophages, ˜10% B-cell lymphocytes, and ˜15% natural killer cells.


RNA was extracted with the RNeasy Mini Kit (Qiagen, Valencia, Calif.) according to the manufacturer's protocol. Briefly, harvested PBMCs are diluted 1:1 with PBS and centrifuged for 10 minutes at 4000 rpm. The resulting supernatant was discarded and the pellet resuspended in 600 μl RLT buffer (1 ml buffer+10 μl 2-β-mercaptoethanol). The sample was homogenized by passing the lysate 5-10 times through 20-G (French) needle fitted to a syringe. Cells were resuspended in 600 μl of DEPC-H2O diluted in 70% EtOH and was loaded onto an RNeasy mini spin column fitted with a 2-ml collection tube. The sample was twice centrifuged at 14,000 rpm for 15 seconds. The RNeasy column was transferred to a new 2 ml collection tube and 500 μl of RPE buffer added followed by centrifugation at 14,000 rpm for 15 seconds. RPE buffer (500 μl) was added and the sample centrifuged at 10,000 rpm for 2 minutes. The RNeasy column was then transferred into a new 1.5 ml collection tube and RNA free water (30 μl) directly added to the RNase membrane followed by further centrifugation at 10,000 rpm for 1 minute. This was repeated and the extracted RNA stored at −80° C.


Example 2
RNA Labeling

This example describes methods used to label the RNA obtained in Example 1. However, one skilled in the art will appreciate that other labels and methods can be used.


RNA obtained from PBMCs was biotin-labeled and cleaned according to Affymetrix guidelines for Human Genome 133A arrays. Briefly, the Enzo BioArray HighYield RNA Transcript Labeling Kit3 (Affymetrix, P/N 900182) was used for generating labeled cRNA target. Template cDNA and the other reaction components were added to RNase-free microfuge tubes. To avoid precipitation of DTT, reactions were at room temperature while additions were made. After adding all reagents, the tube was incubated are a 37° C. for 4 to 5 hours, gently mixing the contents of the tube every 30-45 minutes during the incubation.


To ensure the quality of the initial isolated total RNA, DNase was used to remove contaminant DNA from the sample. In addition, Northern blot followed by optical density analysis was used to determine the concentration of the RNA band.


If the total RNA concentration was >5 μg, the RNA was used for subsequent gene chip hybridization as per the manufacturer's protocol.


Example 3
Microarray Hybridization

Coded mRNA samples were analyzed using the Affymetrix GeneChipR Human Genome U133A chips that include 22,283 gene probes (around 19,000 genes) of the best characterized human genes. All samples were hybridized in an interleaved fashion so that systematic errors resulting from chip lot variation, laboratory reagent preparation, and machine drift between ICH patients and referents were minimized. Microarrays were scanned (Axon scanner, Axon Instruments Inc, CA), and images were analyzed using GenePix image analysis software (Axon Instruments Inc, CA) allowing for gene spot fluorescent quantification following subtraction of the surrounding background fluorescent signal within the Affymetrix MASS gene chip analysis suite with production of .CEL, and .DAT output files. The .CDF file or annotation file for the Affymetrix HU133A array and the .CEL files, containing the scanned gene expression information, were the only data files used in all subsequent analyses. Data sets in which the Affymetrix-derived parameter percent present was <30% and/or the array background intensity was >100 fluorescence counts were not used in further data analysis (2 referent subjects). The average percent present call for the arrays was 45%.


Example 4
Data Normalization and Statistical Analysis

After exclusion of samples with unsatisfactory hybridization (see Example 3), the CEL files of 8 patients with confirmed ICH, 19 ischemic stroke subjects and 18 referent control subjects were used in the data analyses. The technique of Irizarry et al. (The Analysis of Gene Expression Data. New York: Springer, 2003) was used for analyzing gene expression data. The analysis was completed using the Bioconductor applications of the R programming language and implemented on a 64-bit operating system (SGI Prism dual Itanium CPU, Linux OS) due to the large dataset for analysis (Moore et al., 32 bit architecture—a severe bio-informatics limitation. NHLBI Symposium From Genome to Disease. 2003, Bethesda, Md.: 64). Sample RNA degradation during processing was tightly distributed and uniform across all chips.


Quantile normalization was performed on the CEL data sets from the combined stroke cohort and control subjects. After normalization, expression levels for each gene were calculated with the perfect-match array probes and a robust median polish technique after background correction and log 2 transformation. The gene expression signal was considered to be proportional to the product probe avidity and the gene abundance so, after log transformation, the model fits the probe signal to gene expression and microarray chip effects together with an error term with the assumption of a constant avidity for a particular probe. The estimated gene expression is then log-linearly dependent on the amount of the particular gene expressed in the tissue and is used in all subsequent comparative analyses as a relative measure of the level of gene expression.


The resulting expression set was compared in a pair-wise manner between the ICH patients and referent group, between ICH and ischemic stroke (IS) patients, and between IS and the referent control group, using a robust linear model in the linear models for microarray (LIMMA) R package. This R based package allows application of robust (M-estimator) linear model estimation on a gene-by-gene basis with subsequent multiple comparison corrections (MCCs) using a false discovery correction technique (FDR, Benjamin and Yekutieli, The Annals of Statistics 29:1165-88, 2001) and the more stringent Holm correction (Symth G. Limma: linear models for microarray data. In: Gentleman R, Carey V, Dudoit S, Irizarry R, Huber W, ed. Bioinformatics and Computational Biology Solutions using R and Bioconductor, R. New York: Springer, 2005: 397-420). The MCC corrected p value was <0.05 with values below this threshold accepted as statistically significant gene expression levels (three-way HCI list, Table 2). Subsequently pair-wise comparisons were done between the ICH group and control group (HC) and the ischemic (HI) to create the HC and HI lists, respectively.


Further statistical analysis used the PAM methodology (Prediction Analysis for Microarrays; Tibshirani et al., Proc. Natl. Acad. Sci. 90:6567-72, 2002) to classify samples of unknown type (prospectively obtained samples from 9 stroke patients and 18 controls). This classification method uses the shrunken centroid method to distinguish between ICH and the referent group (either normal subjects or IS subjects). To develop a classification model on a data set, the algorithm essentially uses a threshold to select a subset of genes that show differential expression above the threshold. The algorithm then classifies an unknown case as the type that has average values most similar to the unknown sample for the subset of genes. The threshold (and hence subset of genes) is chosen by cross-validation accuracy in the data set (threshold, 3.8). The classification accuracy obtained through leave-1-out cross validation of the training (i.e., index) set and the accuracy of the PAM model applied to the first independent test set cohort of 4 ICH patients and 6 referent subjects was determined (see below).


Gene annotation and ontology were determined with the Affymetrix online NetAffix suite, together with subsequent literature searches and searches of Online Mendelian Inheritance in Man and LocusLink; this allowed classification of the genes on the lists into molecular function, cellular localization, and biological function (reported, where information is available, in the gene lists in the Appendixes). Genes in the ICH PAM list were also classified into putated pathophysiological class, bearing in mind that not all gene functions (physiological and pathological) are known at the present time; some of these gene classes appear to be consistent with our current knowledge of the pathophysiology of ICH. A hierarchical cluster analysis was also performed.


Correlational graph networks from the Holm corrected differentially expressed gene list between the ICH and the referent groups were derived according to the method of Schafer and Strimmer (Schafer and Strimmer, Stat. Appl. Genet. Mol. Biol. 4:Article32. Epub 2005 Nov. 14, 2005; Schafer and Strimmer, Bioinformatics 2:754-64, 2005). Correlation graphs between the Holm multiple comparison corrected ICH and control graphs were firstly obtained. The nodes were then identified along with the correlation coefficients of the connecting edges, with red lines indicating negative correlations and blue lines indicating positive correlations. The putative pathophysiological mechanisms of the networks were examined.


Table 2 shows the results of the three-way comparison (HCI list) using Holm correction. As shown in Table 2, there are at least 50 gene probes (representing 47 genes) whose expression is significantly different between hemorrhage, control, and ischemic stroke subjects. As shown in Table 2, several genes were upregulated (positive T-statistic, such as a value that is at least 5.3) or downregulated (negative t-statistic, such as a value that is less than −5.2) following an ICH stroke.









TABLE 2







Hemorrhagic stroke related-genes using Holm correction and three-way


comparison.











Probe Set






ID{circumflex over ( )}
Gene Name
t-statistic*
P Value$
B@














200919_at
polyhomeotic homolog 2
5.42781316
0.04276157
4.81900166



(Drosophila)


201361_at
transmembrane protein 109
−5.9592879
0.00676152
6.5916683


202499_s_at
solute carrier family 2 (facilitated
7.47492493
3.35E−05
11.3591858



glucose transporter), member 3


202880_s_at
pleckstrin homology, Sec7 and
−5.9658959
0.00660849
6.60879843



coiled-coil domains 1(cytohesin 1)


204116_at
interleukin 2 receptor, gamma
−5.4307607
0.04233302
4.89640009



(severe combined



immunodeficiency)


205257_s_at
amphiphysin (Stiff-Man syndrome
9.08325007
1.36E−07
14.5512864



with breast cancer 128 kDa



autoantigen)


205403_at
interleukin 1 receptor, type II
9.20308564
9.14E−08
16.4898638


205425_at
huntingtin interacting protein 1
5.85978126
0.00956716
6.21333698


205456_at
CD3e molecule, epsilon (CD3-TCR
−5.4282032
0.04270603
4.89345549



complex)


206025_s_at
tumor necrosis factor, alpha-induced
7.03185944
0.00015776
9.72407584



protein 6


206026_s_at
tumor necrosis factor, alpha-induced
5.41824885
0.04419288
4.79348993



protein 6


206028_s_at
c-mer proto-oncogene tyrosine
6.85623545
0.00029192
9.37558047



kinase


206220_s_at
RAS p21 protein activator 3
−5.3656035
0.05296938
4.6907174


206674_at
fms-related tyrosine kinase 3
6.06664176
0.00464887
6.91038013


207485_x_at
butyrophilin, subfamily 3, member
−5.5223753
0.03085995
5.19300486



A1


208611_s_at
spectrin, alpha, non-erythrocytic 1
−5.9636524
0.00665987
6.61736594



(alpha-fodrin)


208686_s_at
bromodomain containing 2
−5.760929
0.01349446
5.96899025


208842_s_at
golgi reassembly stacking protein 2,
−5.3208606
0.06177128
4.54677447



55 kDa


209154_at
Tax1 (human T-cell leukemia virus
6.22313512
0.0026884
7.44743247



type I) binding protein 3


209409_at
growth factor receptor-bound protein
5.7450244
0.0142613
5.83981346



10


210039_s_at
protein kinase C, theta
−5.3584599
0.05428473
4.65762338


210915_x_at
T cell receptor beta variable 19 /// T
−5.8304721
0.01059491
6.1210925



cell receptor beta constant 1


210972_x_at
T cell receptor alpha locus /// T cell
−5.9748089
0.00640626
6.62958339



receptor delta variable 2 /// T cell



receptor alpha variable 20 /// T cell



receptor alpha joining 17 /// T cell



receptor alpha constant


211372_s_at
interleukin 1 receptor, type II
9.19422102
9.42E−08
15.9398259


211893_x_at
CD6 molecule
−5.7983325
0.01184804
6.09290686


211936_at
heat shock 70 kDa protein 5 (glucose-
6.02882336
0.00530551
6.79700294



regulated protein, 78 kDa)


212017_at
hypothetical protein LOC130074
−5.297862
0.06684395
4.47330108


212259_s_at
pre-B-cell leukemia transcription
−5.8324394
0.01052302
6.20033235



factor interacting protein 1


213193_x_at
T cell receptor beta variable 19 /// T
−6.0301869
0.00528052
6.74610453



cell receptor beta constant 1


213275_x_at
cathepsin B
6.33989301
0.00178581
7.80979381


213805_at
abhydrolase domain containing 5
5.98488755
0.00618524
6.68548269


214255_at
ATPase, Class V, type 10A
−5.6812689
0.01779647
5.6882829


214535_s_at
ADAM metallopeptidase with
7.51927212
2.87E−05
11.0169451



thrombospondin type 1 motif, 2


216233_at
CD163 molecule
6.33939279
0.00178887
7.50164896


217119_s_at
chemokine (C—X—C motif) receptor 3
−5.4324543
0.04208843
4.90305326


217891_at
chromosome 16 open reading frame
−5.4983059
0.03353411
5.11364196



58


218328_at
coenzyme Q4 homolog (S. cerevisiae)
−5.4673796
0.03731234
5.0213153


218600_at
LIM domain containing 2
−5.8304404
0.01059561
6.18995787


218615_s_at
transmembrane protein 39A
5.96140673
0.00671199
6.50928808


218685_s_at
single-strand-selective
5.3873204
0.04915901
4.76216135



monofunctional uracil-DNA



glycosylase 1


218689_at
Fanconi anemia, complementation
−5.5094855
0.0322647
5.14366045



group F


218805_at
GTPase, IMAP family member 5
−5.9652232
0.00662374
6.60914421


218813_s_at
SH3-domain GRB2-like endophilin
−7.5684784
2.42E−05
11.826446



B2


218871_x_at
chondroitin sulfate GalNAcT-2
5.63179622
0.0211287
5.54223801


219988_s_at
chromosome 1 open reading frame
−5.3692537
0.05231064
4.7069779



164


221011_s_at
limb bud and heart development
−6.024406
0.00538781
6.77353102



homolog (mouse)


221249_s_at
family with sequence similarity 117,
−5.5397297
0.02906352
5.24056972



member A /// family with sequence



similarity 117, member A


221688_s_at
IMP3, U3 small nucleolar
−5.9790832
0.00631162
6.6280554



ribonucleoprotein, homolog (yeast)


37652_at
calcineurin binding protein 1
−5.8006752
0.01175233
6.09992517


64064_at
GTPase, IMAP family member 5
−5.7183538
0.01564608
5.82028689





{circumflex over ( )}Probe set ID number is the Affymetrix ID number on the HU133A array.


*Moderated t-statistic. Same interpretation as an ordinary t-statistic except that the standard errors have been moderated across genes, i.e., shrunk towards a common value, using a simple Bayesian model. Positive t-statistic indicates that the gene is upregulated following hemorrhagic stroke. Negative t-statistic indicates that the gene is downregulated following hemorrhagic stroke.



$P-value uncorrected p value




@The B-statistic (lods or B) is the log-odds that the gene is differentially expressed.







When the ICH and the referent groups were compared, 1500 gene probes (1263 genes) were differentially expressed on the FDR list (Table 3), while there were 139 gene probes (119 genes) after the more conservative Holm multiple comparison correction (Table 4). On the FDR list of 1500 gene probes, 719 probes were up-regulated (positive T-statistic, such as a value that is at least 3.2) and 781 gene probes were down-regulated (negative t-statistic, such as a value that is less than −3.2) following a hemorrhagic stroke. Of the 139 gene probes on the Holm listing, 88 were up-regulated (positive T-statistic, such as a value that is at least 5.9) and 51 were down-regulated (negative t-statistic, such as a value that is less than −5.9) following a hemorrhagic stroke. The ICH PAM panel consisted of 30 genes (37 probes) and classified 7/8 ICH patients and 17/18 referents correctly (threshold 3.82, overall correct classification rate of 92.4%, Table 5).









TABLE 3







ICH related-genes using FDR correction and comparison to non-stroke


subjects.












Probe Set



Adjusted



ID{circumflex over ( )}
Gene Name
t-statistic*
P Value$
P Value#
B@















219574_at
membrane-associated ring
6.2140115
1.19E−006
0.0002407
5.496195004



finger (C3HC4) 1


217521_at
Transcribed locus
5.9641109
2.31E−006
0.0003593
4.876392255


222303_at

5.5337713
7.23E−006
0.0008252
3.761734456


213817_at
CDNA FLJ13601 fis, clone
5.3185262
1.29E−005
0.001247
3.201717309



PLACE1010069


c

4.9252208
3.70E−005
0.0025118
2.16919705


215397_x_at
CDNA FLJ12379 fis, clone
4.6054579
8.75E−005
0.0046709
1.339093748



MAMMA1002554


209473_at

4.5447313
0.000103
0.0052906
1.193606034


215796_at
T-cell receptor active alpha-
−4.302835
0.0001971
0.0081768
0.565043001



chain V-region (V-J-C)



mRNA, partial cds, clone



AG212


203704_s_at

4.2290916
0.00024
0.0093056
0.3664493


215191_at
CDNA FLJ14085 fis, clone
3.9770229
0.0004689
0.014292
−0.235246064



HEMBB1002534


206082_at

−3.922638
0.0005413
0.0157053
−0.400779592


202969_at
MRNA; cDNA
−3.893127
0.0005851
0.0164826
−0.432320508



DKFZp667B0924 (from



clone DKFZp667B0924)


221725_at
CDNA clone
3.8639169
0.0006319
0.0171291
−0.529287784



IMAGE: 3030163


221937_at
CDNA FLJ34482 fis, clone
−3.66971
0.0010505
0.0239197
−0.972426526



HLUNG2004067


202377_at

3.6382031
0.0011402
0.0253027
−1.104046824


217412_at
Rearranged T-cell receptor
−3.42662
0.0019677
0.0358275
−1.625720669



alpha chain mRNA, variable



region


211632_at
Ig rearranged gamma-chain,
−3.404062
0.0020845
0.0371886
−1.676080903



V-DXP′1-JH4b /// Ig



rearranged gamma-chain,



V-DXP′1-JH4b


214807_at
MRNA; cDNA
3.2212673
0.0033122
0.0495345
−2.085789593



DKFZp564O0862 (from



clone DKFZp564O0862)


203504_s_at
ATP-binding cassette, sub-
4.0002682
0.0004409
0.0137594
−0.17705479



family A (ABC1), member 1


203505_at
ATP-binding cassette, sub-
3.638904
0.0011382
0.0252858
−1.071918781



family A (ABC1), member 1


209993_at
ATP-binding cassette, sub-
−3.338788
0.0024615
0.0411468
−1.772670572



family B (MDR/TAP),



member 1


209641_s_at
ATP-binding cassette, sub-
5.7543558
4.02E−006
0.0005396
4.343179644



family C (CFTR/MRP),



member 3


208161_s_at
ATP-binding cassette, sub-
4.0191798
0.0004193
0.013292
−0.161814061



family C (CFTR/MRP),



member 3


207583_at
ATP-binding cassette, sub-
−3.317981
0.0025949
0.0424462
−1.8916331



family D (ALD), member 2


200045_at
ATP-binding cassette, sub-
−3.68465
0.0010105
0.023375
−0.975150833



family F (GCN20), member



1 /// ATP-binding cassette,



sub-family F (GCN20),



member 1


210006_at
abhydrolase domain
−4.783568
5.42E−005
0.0033259
1.809367609



containing 14A


213805_at
abhydrolase domain
4.212729
0.0002507
0.009499
0.339069402



containing 5


218405_at
activator of basal
−5.472837
8.51E−006
0.00093
3.606351047



transcription 1


209600_s_at
acyl-Coenzyme A oxidase
3.9167198
0.0005498
0.015911
−0.396195462



1, palmitoyl


204393_s_at
acid phosphatase, prostate
5.9204784
2.59E−006
0.0003896
4.744902719


207275_s_at
acyl-CoA synthetase long-
7.7487799
2.44E−008
1.84E−005
9.200907246



chain family member 1


201963_at
acyl-CoA synthetase long-
7.2748901
7.87E−008
3.99E−005
8.113119287



chain family member 1


201661_s_at
acyl-CoA synthetase long-
5.1015539
2.30E−005
0.0018408
2.632200898



chain family member 3


208636_at
actinin, alpha 1
4.2501786
0.0002268
0.0089432
0.452695719


211160_x_at
actinin, alpha 1
3.2123168
0.0033875
0.0502891
−2.086756292


213102_at
ARP3 actin-related protein
3.5725247
0.0013519
0.0280881
−1.251465939



3 homolog (yeast)


222147_s_at
ARP5 actin-related protein
−3.766166
0.0008167
0.0203333



5 homolog (yeast)


205209_at
activin A receptor, type IB
4.6701558
7.36E−005
0.0041602
1.557012572


213198_at
activin A receptor, type IB
3.6862217
0.0010063
0.0233097
−0.963330725


216705_s_at
adenosine deaminase
−5.858102
3.05E−006
0.0004411
4.60034505


204639_at
adenosine deaminase
−4.646322
7.84E−005
0.0043151
1.503048874


205745_x_at
ADAM metallopeptidase
5.9660251
2.29E−006
0.0003593
4.862827437



domain 17 (tumor necrosis



factor, alpha, converting



enzyme)


202381_at
ADAM metallopeptidase
4.1830621
0.0002713
0.0100251
0.275017999



domain 9 (meltrin gamma)


214535_s_at
ADAM metallopeptidase
13.353671
2.00E−013
7.43E−010
19.55417663



with thrombospondin type 1



motif, 2


214454_at
ADAM metallopeptidase
3.8573237
0.0006429
0.0173489
−0.517394546



with thrombospondin type 1



motif, 2


202912_at
adrenomedullin
4.9990521
3.04E−005
0.0022038
2.401148229


204184_s_at
adrenergic, beta, receptor
3.6428635
0.0011265
0.0251089
−1.080930339



kinase 2


217729_s_at
amino-terminal enhancer of
−3.482649
0.0017044
0.0328251
−1.47940264



split


202486_at
AFG3 ATPase family gene
−3.867135
0.0006265
0.0170886
−0.497499361



3-like 2 (yeast)


218096_at
1-acylglycerol-3-phosphate
−3.909411
0.0005605
0.0160953
−0.304176054



O-acyltransferase 5



(lysophosphatidic acid



acyltransferase, epsilon)


200849_s_at
S-adenosylhomocysteine
3.7580003
0.0008343
0.0205657
−0.800942379



hydrolase-like 1


200850_s_at
S-adenosylhomocysteine
3.4393866
0.0019044
0.0351878
−1.589406868



hydrolase-like 1


202820_at
aryl hydrocarbon receptor
6.0756321
1.72E−006
0.0003031
5.158254442


201782_s_at
aryl hydrocarbon receptor
−5.385064
1.08E−005
0.0011161
3.364624315



interacting protein


210517_s_at
A kinase (PRKA) anchor
−3.260737
0.002999
0.0465465
−2.029738842



protein (gravin) 12


221718_s_at
A kinase (PRKA) anchor
4.0902665
0.0003473
0.011778
0.022122652



protein 13


205771_s_at
A kinase (PRKA) anchor
−5.132534
2.12E−005
0.0017567
2.745493369



protein 7


211653_x_at
aldo-keto reductase family
−3.391699
0.0021513
0.0378356
−1.705243646



1, member C2 (dihydrodiol



dehydrogenase 2; bile acid



binding protein; 3-alpha



hydroxysteroid



dehydrogenase, type III)


209160_at
aldo-keto reductase family
−5.303392
1.34E−005
0.0012764
3.170581717



1, member C3 (3-alpha



hydroxysteroid



dehydrogenase, type II)


212607_at
v-akt murine thymoma viral
−4.135078
0.0003083
0.0109442
0.159674429



oncogene homolog 3



(protein kinase B, gamma)


201951_at
activated leukocyte cell
5.8234522
3.35E−006
0.0004749
4.500591957



adhesion molecule


201952_at
activated leukocyte cell
4.9114956
3.84E−005
0.0025638
2.165273885



adhesion molecule


217791_s_at
aldehyde dehydrogenase 18
−4.115641
0.0003246
0.0112496
0.087005997



family, member A1


202022_at
aldolase C, fructose-
−4.450957
0.0001325
0.0062436
0.954962693



bisphosphate


207206_s_at
arachidonate 12-
3.5982628
0.0012647
0.0268656
−1.207124821



lipoxygenase


206714_at
arachidonate 15-
4.0173153
0.0004214
0.013301
−0.109355597



lipoxygenase, type B


204446_s_at
arachidonate 5-lipoxygenase
6.8751354
2.16E−007
7.06E−005
7.143490943


214366_s_at
arachidonate 5-lipoxygenase
4.398668
0.0001525
0.0068192
0.864966387


204445_s_at
arachidonate 5-lipoxygenase
3.5809859
0.0013226
0.0277674
−1.190527294


209424_s_at
alpha-methylacyl-CoA
−3.592109
0.0012851
0.0271678
−1.145489707



racemase


207992_s_at
adenosine monophosphate
3.3249268
0.0025496
0.0420212
−1.820580731



deaminase (isoform E)


205257_s_at
amphiphysin (Stiff-Man
24.606614
4.70E−020
5.24E−016
30.88004619



syndrome with breast cancer



128 kDa autoantigen)


218575_at
anaphase promoting
−4.642249
7.93E−005
0.0043518
1.479482015



complex subunit 1


205141_at
angiogenin, ribonuclease,
4.0982088
0.00034
0.0116248
0.073479841



RNase A family, 5 ///



ribonuclease, RNase A



family, 4


216195_at
Ankyrin 2, neuronal
3.5648945
0.0013788
0.0284481
−1.284981826


212747_at
ankyrin repeat and sterile
4.5969814
8.95E−005
0.0047624
1.336044754



alpha motif domain



containing 1A


211241_at
annexin A2 pseudogene 3
3.2423469
0.0031412
0.0476847
−1.949568122


209369_at
annexin A3
3.695767
0.0009816
0.0228796
−0.929439054


212159_x_at
adaptor-related protein
3.3918963
0.0021502
0.0378356
−1.680557229



complex 2, alpha 2 subunit


210278_s_at
adaptor-related protein
−3.246169
0.0031111
0.0475158
−2.046209608



complex 4, sigma 1 subunit


215310_at
Adenomatosis polyposis
4.4668912
0.000127
0.0060731
1.012170827



coli


214960_at
apoptosis inhibitor 5
3.3619728
0.0023206
0.0396727
−1.760827082


209584_x_at
apolipoprotein B mRNA
−3.823951
0.0007019
0.0183997
−0.570559962



editing enzyme, catalytic



polypeptide-like 3C


204205_at
apolipoprotein B mRNA
−3.545332
0.0014503
0.029498
−1.289961839



editing enzyme, catalytic



polypeptide-like 3G


214995_s_at
apolipoprotein B mRNA
−3.967574
0.0004807
0.0145739
−0.279900828



editing enzyme, catalytic



polypeptide-like 3G ///



apolipoprotein B mRNA



editing enzyme, catalytic



polypeptide-like 3F


209546_s_at
apolipoprotein L, 1
−4.061354
0.000375
0.012471
−0.055202336


221087_s_at
apolipoprotein L, 3
−5.013123
2.92E−005
0.0021571
2.415912514


219716_at
apolipoprotein L, 6
−3.903775
0.0005689
0.0162109
−0.433153937


222013_x_at
Amyloid beta (A4)
−3.587655
0.0013
0.027405
−1.218513413



precursor protein (peptidase



nexin-II, Alzheimer disease)


203219_s_at
adenine
−5.644748
5.38E−006
0.0006841
4.048560866



phosphoribosyltransferase


213892_s_at
adenine
−3.823386
0.0007029
0.0184054
−0.652522358



phosphoribosyltransferase


203747_at
aquaporin 3 (Gill blood
−5.081099
2.44E−005
0.0019242
2.580423765



group)


39248_at
aquaporin 3 (Gill blood
−3.425921
0.0019712
0.0358275
−1.560552654



group)


210068_s_at
aquaporin 4
4.2711856
0.0002144
0.0086099
0.500233768


205568_at
aquaporin 9
4.3844739
0.0001584
0.007013
0.838547325


218870_at
Rho GTPase activating
−4.376266
0.0001619
0.0071157
0.794215713



protein 15


37577_at
Rho GTPase activating
6.7634786
2.88E−007
8.66E−005
6.869000176



protein 19


212738_at
Rho GTPase activating
4.5297599
0.0001073
0.0054247
1.142225267



protein 19


38149_at
Rho GTPase activating
−3.81169
0.0007248
0.0187807
−0.667955466



protein 25


204882_at
Rho GTPase activating
−3.244861
0.0031214
0.04764
−2.027177223



protein 25


205068_s_at
Rho GTPase activating
5.0046517
2.99E−005
0.0021923
2.399528811



protein 26


203910_at
Rho GTPase activating
3.8768619
0.0006107
0.0168005
−0.485927245



protein 29


201659_s_at
ADP-ribosylation factor-
−4.128231
0.0003139
0.0110574
0.185529825



like 1


205020_s_at
ADP-ribosylation factor-
6.5781587
4.63E−007
0.000126
6.412365317



like 4A


202208_s_at
ADP-ribosylation factor-
−6.147552
1.42E−006
0.0002709
5.341709786



like 4C


202207_at
ADP-ribosylation factor-
−4.29996
0.0001986
0.0082246
0.636583059



like 4C


202206_at
ADP-ribosylation factor-
−3.616456
0.0012065
0.0261513
−1.088678256



like 4C


217817_at
actin related protein 2/3
−3.215778
0.0033582
0.0500413
−2.06899997



complex, subunit 4, 20 kDa


203428_s_at
ASF1 anti-silencing
−7.698443
2.76E−008
1.94E−005
9.105468688



function 1 homolog A (S. cerevisiae)


206130_s_at
asialoglycoprotein receptor 2
3.4369337
0.0019164
0.0353216
−1.570677391


209135_at
aspartate beta-hydroxylase
6.1302992
1.49E−006
0.0002811
5.298766404


210896_s_at
aspartate beta-hydroxylase
5.0153778
2.91E−005
0.0021512
2.439027924


218908_at
alveolar soft part sarcoma
−3.640518
0.0011334
0.0252051
−1.098684526



chromosome region,



candidate 1


208033_s_at
AT-binding transcription
4.1680066
0.0002824
0.0103326
0.226968168



factor 1


207774_at
ATG10 autophagy related
3.4300496
0.0019505
0.0356839
−1.593702284



10 homolog (S. cerevisiae)


214255_at
ATPase, Class V, type 10A
−3.950979
0.0005023
0.0149627
−0.283496772


212361_s_at
ATPase, Ca++ transporting,
4.6314146
8.16E−005
0.0044164
1.401320848



cardiac muscle, slow twitch 2


212362_at
ATPase, Ca++ transporting,
3.9993183
0.000442
0.0137747
−0.200772262



cardiac muscle, slow twitch 2


212383_at
ATPase, H+ transporting,
3.3500538
0.002392
0.0404668
−1.753503448



lysosomal V0 subunit a1


214150_x_at
ATPase, H+ transporting,
3.5216114
0.0015418
0.0307844
−1.381087313



lysosomal 9 kDa, V0 subunite


213587_s_at
ATPase, H+ transporting V0
−3.762944
0.0008236
0.0204012
−0.774090061



subunit E2-like (rat)


201971_s_at
ATPase, H+ transporting,
4.7273604
6.31E−005
0.0037377
1.693025609



lysosomal 70 kDa, V1



subunit A


201972_at
ATPase, H+ transporting,
3.6652952
0.0010627
0.0240893
−1.018232845



lysosomal 70 kDa, V1



subunit A


202874_s_at
ATPase, H+ transporting,
5.2037675
1.75E−005
0.0015425
2.945874363



lysosomal 42 kDa, V1



subunit C1


202872_at
ATPase, H+ transporting,
4.9040952
3.92E−005
0.002592
2.155646031



lysosomal 42 kDa, V1



subunit C1


219366_at
apoptosis, caspase
−3.785851
0.0007756
0.0196854
−0.694210254



activation inhibitor


205539_at
advillin
3.6787016
0.0010262
0.0235991
−0.950852573


218043_s_at
5-azacytidine induced 2
5.1049863
2.28E−005
0.0018304
2.648637789


213589_s_at
UDP-GlcNAc:betaGal beta-
3.7398179
0.000875
0.021299
−0.841903909



1,3-N-



acetylglucosaminyltransferase-



like 1


204194_at
BTB and CNC homology 1,
3.8620114
0.0006351
0.0171734
−0.501838173



basic leucine zipper



transcription factor 1


217986_s_at
bromodomain adjacent to
3.5257013
0.0015256
0.0304889
−1.374607205



zinc finger domain, 1A


220588_at
breast carcinoma amplified
−3.479353
0.0017189
0.0330187
−1.490301402



sequence 4


214390_s_at
branched chain
4.6722167
7.32E−005
0.0041477
1.563412382



aminotransferase 1,



cytosolic


214452_at
branched chain
4.3707838
0.0001643
0.0071839
0.818473701



aminotransferase 1,



cytosolic


219528_s_at
B-cell CLL/lymphoma 11B
−3.600251
0.0012582
0.0268042
−1.122516509



(zinc finger protein)


205681_at
BCL2-related protein A1
5.0859526
2.40E−005
0.001906
2.619911083


209311_at
BCL2-like 2
5.9716622
2.26E−006
0.0003578
4.877103649


204908_s_at
B-cell CLL/lymphoma 3
4.3839069
0.0001586
0.007013
0.765318372


203140_at
B-cell CLL/lymphoma 6
6.4484079
6.48E−007
0.0001605
6.082317265



(zinc finger protein 51


215990_s_at
B-cell CLL/lymphoma 6
3.9633932
0.0004861
0.014642
−0.248848619



(zinc finger protein 51)


219072_at
B-cell CLL/lymphoma 7C
−3.364243
0.0023072
0.0395937
−1.779304828


214643_x_at
bridging integrator 1
−6.752528
2.96E−007
8.79E−005
6.842410212


210202_s_at
bridging integrator 1
−4.796617
5.23E−005
0.0032605
1.863742627


210201_x_at
bridging integrator 1
−3.29496
0.0027507
0.0439378
−1.937894606


202931_x_at
bridging integrator 1
−3.241899
0.0031448
0.0477024
−2.051991096


204860_s_at
baculoviral IAP repeat-
4.733394
6.21E−005
0.0036873
1.685454114



containing 1 /// similar to



Baculoviral IAP repeat-



containing protein 1



(Neuronal apoptosis



inhibitory protein) /// similar



to Baculoviral IAP repeat-



containing protein 1



(Neuronal apoptosis



inhibitory protein)


204861_s_at
baculoviral IAP repeat-
5.272023
1.46E−005
0.0013482
3.075216041



containing 1 /// similar to



Baculoviral IAP repeat-



containing protein 1



(Neuronal apoptosis



inhibitory protein)


210538_s_at
baculoviral IAP repeat-
−3.537025
0.0014817
0.0299608
−1.280020969



containing 3


206464_at
BMX non-receptor tyrosine
4.2966792
0.0002003
0.0082533
0.631448027



kinase


209308_s_at
BCL2/adenovirus E1B
4.683964
7.09E−005
0.0040916
1.561267901



19 kDa interacting protein 2


202946_s_at
BTB (POZ) domain
4.5294512
0.0001074
0.0054247
1.151993508



containing 3


220297_at
BTB (POZ) domain
3.5807554
0.0013234
0.0277674
−1.214745709



containing 7


214117_s_at
biotinidase
−3.266783
0.0029536
0.0461215
−2.017100546


207485_x_at
butyrophilin, subfamily 3,
−6.870456
2.19E−007
7.06E−005
7.132260801



member A1


209770_at
butyrophilin, subfamily 3,
−4.67677
7.23E−005
0.0041288
1.607602252



member A1


209846_s_at
butyrophilin, subfamily 3,
−4.119178
0.0003216
0.0111965
0.104419317



member A2


38241_at
butyrophilin, subfamily 3,
−3.499997
0.00163
0.0318003
−1.421916429



member A3


204820_s_at
butyrophilin, subfamily 3,
−3.692046
0.0009912
0.0230064
−0.967713537



member A3 /// butyrophilin,



subfamily 3, member A2


201457_x_at
BUB3 budding uninhibited
−4.017883
0.0004208
0.0132999
−0.089230155



by benzimidazoles 3



homolog (yeast)


212121_at
chromosome 10 open
−3.568339
0.0013666
0.0282744
−1.250064484



reading frame 61


211376_s_at
chromosome 10 open
−3.407426
0.0020667
0.0369951
−1.659499482



reading frame 86


220987_s_at
chromosome 11 open
−3.219017
0.003331
0.0497486
−2.048987662



reading frame 17 ///



chromosome 11 open



reading frame 17 /// NUAK



family, SNF1-like kinase, 2



/// NUAK family, SNF1-like



kinase, 2


217969_at
chromosome 11 open
−3.556491
0.0014091
0.0288324
−1.29769529



reading frame2


206438_x_at
chromosome 12 open
−3.239458
0.0031642
0.0478336
−2.039190862



reading frame 38


217188_s_at
chromosome 14 open
−5.269476
1.47E−005
0.0013518
3.079256062



reading frame 1


202562_s_at
chromosome 14 open
−3.805795
0.0007361
0.0189632
−0.675617112



reading frame 1


219526_at
chromosome 14 open
−3.430842
0.0019466
0.0356839
−1.596339315



reading frame 169


215087_at
chromosome 15 open
4.2471265
0.0002287
0.0089711
0.436323039



reading frame 39


219315_s_at
chromosome 16 open
−3.957249
0.000494
0.0148205
−0.312256745



reading frame 30


204676_at
chromosome 16 open
−3.341578
0.0024441
0.0410411
−1.794230891



reading frame 51


217891_at
chromosome 16 open
−3.322754
0.0025637
0.0421599
−1.853415417



reading frame 58


218945_at
chromosome 16 open
3.6936484
0.000987
0.0229583
−0.94405567



reading frame 68


205781_at
chromosome 16 open
3.7158412
0.0009315
0.0220336
−0.849203521



reading frame 7


217957_at
chromosome 16 open
−4.967644
3.30E−005
0.0023297
2.294063294



reading frame 80


209092_s_at
chromosome 17 open
−3.501058
0.0016256
0.0317731
−1.406170981



reading frame 25


219417_s_at
chromosome 17 open
−3.592994
0.0012821
0.0271506
−1.192486122



reading frame 59


213617_s_at
chromosome 18 open
−4.681348
7.14E−005
0.0041099
1.564460353



reading frame 10


217926_at
chromosome 19 open
−3.257394
0.0030244
0.0467678
−2.009985042



reading frame 53


204699_s_at
chromosome 1 open reading
−4.370502
0.0001644
0.0071839
0.758851552



frame 107


204700_x_at
chromosome 1 open reading
−4.276309
0.0002115
0.0085082
0.532021393



frame 107


218165_at
chromosome 1 open reading
−3.624748
0.0011808
0.0258461
−1.143368214



frame 149


219988_s_at
chromosome 1 open reading
−4.117339
0.0003232
0.0112339
0.107860676



frame 164


220476_s_at
chromosome 1 open reading
4.2932023
0.0002022
0.0082821
0.584561217



frame 183


217966_s_at
chromosome 1 open reading
4.2589556
0.0002216
0.0087963
0.463871896



frame 24


202953_at
complement component 1, q
3.7859774
0.0007754
0.0196854
−0.712502494



subcomponent, B chain


219004_s_at
chromosome 21 open
−5.162874
1.95E−005
0.0016545
2.79967566



reading frame 45


220941_s_at
chromosome 21 open
−3.304135
0.0026875
0.0432705
−1.917202487



reading frame 91


212421_at
chromosome 22 open
4.1451572
0.0003001
0.0107685
0.188156292



reading frame 9


209906_at
complement component 3a
6.1809183
1.30E−006
0.0002525
5.413796702



receptor 1


220942_x_at
chromsome 3 open reading
−4.853153
4.50E−005
0.0028944
2.001659499



frame 28


201677_at
Chromosome 3 open
−5.356111
1.16E−005
0.0011734
3.295627658



reading frame 37


201678_s_at
chromosome 3 open reading
−4.203306
0.000257
0.0097242
0.336461793



frame 37


208247_at
chromosome 3 open reading
3.3372711
0.002471
0.0412129
−1.788100374



frame 51


219872_at
chromosome 4 open reading
3.873291
0.0006165
0.0168966
−0.467872947



frame 18


218449_at
chromosome 4 open reading
−3.451693
0.0018453
0.0343232
−1.532007933



frame 20


220088_at
complement component 5a
5.1976547
1.78E−005
0.0015618
2.87559802



receptor 1


204238_s_at
chromosome 6 open reading
−3.43219
0.0019398
0.0356353
−1.575503074



frame 108


218561_s_at
chromosome 6 open reading
−6.367632
8.00E−007
0.0001896
5.890852776



frame 149


204215_at
chromosome 7 open reading
−4.364781
0.000167
0.0072521
0.743422444



frame 23


209446_s_at
chromosome 7 open reading
3.4997198
0.0016312
0.0318003
−1.431396609



frame 44


218500_at
chromosome 8 open reading
−3.958172
0.0004928
0.0148196
−0.305022489



frame 55


220712_at
chromosome 8 open reading
4.6650801
7.46E−005
0.004175
1.518394673



frame 60


218992_at
chromosome 9 open reading
−4.939579
3.56E−005
0.0024505
2.237866281



frame 46


204811_s_at
calcium channel, voltage-
−3.485289
0.0016929
0.0327163
−1.439474347



dependent, alpha 2/delta



subunit 2


213688_at
calmodulin 1
−6.510788
5.51E−007
0.0001446
6.240465245



(phosphorylase kinase,



delta)


213812_s_at
calcium/calmodulin-
5.213278
1.71E−005
0.0015095
2.926803598



dependent protein kinase-



kinase 2, beta


200625_s_at
CAP, adenylate cyclase-
3.9952945
0.0004467
0.0138256
−0.205588725



associated protein 1 (yeast)


203357_s_at
calpain 7
−3.845618
0.000663
0.017715
−0.572992867


220066_at
caspase recruitment domain
4.5183086
0.0001106
0.0055225
1.148843677



family, member 15


213373_s_at
caspase 8, apoptosis-related
−4.716881
6.49E−005
0.0038217
1.647409129



cysteine peptidase


205379_at
carbonyl reductase 3
−3.231282
0.0032299
0.048564
−2.102146102


220175_s_at
COBW domain containing 1
3.422802
0.001987
0.0359971
−1.629126784



/// COBW domain



containing 2 /// COBW


202048_s_at
domain containing 5 ///
−3.394545
0.0021357
0.0376896
−1.648369734



COBW-like placental



protein /// COBW domain



containing 3 /// COBW



domain containing 6 ///



similar to COBW domain



containing 3



chromobox homolog 6


204610_s_at
coiled-coil domain
−4.403981
0.0001503
0.0067472
0.815062002



containing 85B


204335_at
coiled-coil domain
−3.892108
0.0005867
0.0164871
−0.475140377



containing 94


204103_at
chemokine (C-C motif)
−3.68227
0.0010167
0.0234534
−1.00608852



ligand 4


200953_s_at
cyclin D2
−6.234765
1.13E−006
0.0002379
5.558570668


200952_s_at
cyclin D2
−6.106075
1.59E−006
0.0002921
5.218632002


208796_s_at
cyclin G1
−3.716767
0.0009293
0.0220336
−0.908419649


221156_x_at
cell cycle progression 1
3.428333
0.0019591
0.0358116
−1.557048491


205098_at
chemokine (C-C motif)
3.5304313
0.0015071
0.0302551
−1.348157061



receptor 1


206978_at
chemokine (C-C motif)
3.8787507
0.0006077
0.0167586
−0.497079247



receptor 2


207794_at
chemokine (C-C motif)
3.5199822
0.0015483
0.0308311
−1.350504247



receptor 2


208304_at
chemokine (C-C motif)
−3.411181
0.0020469
0.0367442
−1.675334498



receptor 3


201946_s_at
chaperonin containing
−5.228948
1.64E−005
0.0014589
2.981866109



TCP1, subunit 2 (beta)


201743_at
CD14 molecule
3.5616738
0.0013903
0.0285361
−1.259800117


216233_at
CD163 molecule
18.497494
6.95E−017
3.87E−013
25.43080936


215049_x_at
CD163 molecule
9.7258472
2.51E−010
6.22E−007
13.52665406


203645_s_at
CD163 molecule
9.529413
3.87E−010
7.84E−007
13.11769962


205831_at
CD2 molecule
−5.139809
2.08E−005
0.0017291
2.770681136


210031_at
CD247 molecule
−4.465239
0.0001276
0.0060731
1.056716817


211856_x_at
CD28 molecule
−4.796364
5.24E−005
0.0032605
1.83280249


211861_x_at
CD28 molecule
−4.545051
0.000103
0.0052906
1.183081083


206545_at
CD28 molecule
−4.061393
0.0003749
0.012471
−0.00770044


206120_at
CD33 molecule
3.8340141
0.0006836
0.0181115
−0.568137157


209555_s_at
CD36 molecule
3.8015446
0.0007444
0.0191095
−0.695026645



(thrombospondin receptor)


213539_at
CD3d molecule, delta
−5.81472
3.42E−006
0.0004828
4.496982373



(CD3-TCR complex)


205456_at
CD3e molecule, epsilon
−5.070342
2.51E−005
0.0019651
2.55370924



(CD3-TCR complex)


206804_at
CD3g molecule, gamma
−3.530893
0.0015053
0.0302551
−1.355587079



(CD3-TCR complex)


203547_at
CD4 molecule
−3.464217
0.001787
0.0337739
−1.500532943


215346_at
CD40 molecule, TNF
−3.424798
0.0019769
0.0358721
−1.62296154



receptor superfamily



member 5


204118_at
CD48 molecule
−3.470732
0.0017574
0.0334519
−1.488468249


206485_at
CD5 molecule
−3.349801
0.0023935
0.0404668
−1.805774335


208602_x_at
CD6 molecule
−4.497593
0.0001169
0.0057022
1.079832745


211900_x_at
CD6 molecule
−3.94658
0.0005081
0.015057
−0.340650267


213958_at
CD6 molecule
−3.774492
0.0007991
0.0199959
−0.771212592


211893_x_at
CD6 molecule
−3.69607
0.0009808
0.0228796
−0.973005527


200663_at
CD63 molecule
3.584994
0.0013089
0.0275423
−1.183405001


214049_x_at
CD7 molecule
−3.784239
0.0007789
0.0197462
−0.757309831


209619_at
CD74 molecule, major
−3.838426
0.0006757
0.0179669
−0.608700768



histocompatibility complex,



class II invariant chain


215332_s_at
CD8b molecule
−3.364868
0.0023035
0.0395937
−1.778361369


202878_s_at
CD93 molecule
4.5187978
0.0001105
0.0055225
1.14977715


202877_s_at
CD93 molecule
4.0522554
0.0003841
0.0126796
−0.066413622


206761_at
CD96 molecule
−4.428809
0.0001406
0.0064487
0.94610521


205627_at
cytidine deaminase
3.4628567
0.0017932
0.0338007
−1.518453849


210440_s_at
CDC14 cell division cycle
−4.773031
5.58E−005
0.0033866
1.771675491



14 homolog A (S. cerevisiae)


201853_s_at
cell division cycle 25B
−3.333859
0.0024925
0.0414783
−1.810878375



CDC42 effector protein


209286_at
(Rho GTPase binding) 3
8.7039359
2.51E−009
2.94E−006
11.36556799


202246_s_at
cyclin-dependent kinase 4
−4.708561
6.63E−005
0.0038597
1.628852392


214877_at
CDK5 regulatory subunit
−7.380157
6.05E−008
3.46E−005
8.358822206



associated protein 1-like 1


213348_at
Cyclin-dependent kinase
−4.743712
6.04E−005
0.0036153
1.743650125



inhibitor 1C (p57, Kip2)


219534_x_at
cyclin-dependent kinase
−4.428251
0.0001409
0.0064487
0.897382098



inhibitor 1C (p57, Kip2)


213182_x_at
cyclin-dependent kinase
−3.62215
0.0011888
0.0259445
−1.143747021



inhibitor 1C (p57, Kip2)


216894_x_at
cyclin-dependent kinase
−3.347564
0.0024072
0.0406668
−1.819994946



inhibitor 1C (p57, Kip2)


209501_at
cerebellar degeneration-
−3.759072
0.000832
0.0205308
−0.759864252



related protein 2, 62 kDa


216751_at
CMT1A duplicated region
3.5451725
0.0014509
0.029498
−1.312151053



transcript 4


212864_at
CDP-diacylglycerol
3.5161782
0.0015635
0.03095
−1.379363177



synthase (phosphatidate



cytidylyltransferase) 2


207205_at
carcinoembryonic antigen-
3.539995
0.0014704
0.0297861
−1.303164426



related cell adhesion



molecule 4


212501_at
CCAAT/enhancer binding
3.2834811
0.0028317
0.0448458
−1.965771632



protein (C/EBP), beta


213006_at
CCAAT/enhancer binding
7.8208216
2.04E−008
1.69E−005
9.380113378



protein (C/EBP), delta


203973_s_at
CCAAT/enhancer binding
5.3247709
1.27E−005
0.001237
3.217998047



protein (C/EBP), delta


204739_at
centromere protein C 1
−3.252694
0.0030604
0.0470963
−2.047662823


219358_s_at
centaurin, alpha 2
8.8817081
1.66E−009
2.06E−006
11.79433186


214102_at
centaurin, delta 1
3.9393625
0.0005179
0.0151633
−0.299908034


207719_x_at
centrosomal protein 170 kDa
3.3045567
0.0026847
0.0432556
−1.887355887


52285_f_at
centrosomal protein 76 kDa
−3.801666
0.0007441
0.0191095
−0.695765147


209616_s_at
carboxylesterase 1
3.8098736
0.0007283
0.0188048
−0.67821622



(monocyte/macrophage



serine esterase 1)


213509_x_at
carboxylesterase 2
3.4871954
0.0016846
0.0325846
−1.479771807



(intestine, liver)


215388_s_at
complement factor H ///
−3.468439
0.0017677
0.0335696
−1.507291615



complement factor H-



related 1


209508_x_at
CASP8 and FADD-like
6.8867892
2.10E−007
7.06E−005
7.171950728



apoptosis regulator


211316_x_at
CASP8 and FADD-like
5.691143
4.76E−006
0.0006233
4.151462203



apoptosis regulator


214486_x_at
CASP8 and FADD-like
4.2296001
0.0002396
0.0093056
0.390119623



apoptosis regulator


214906_x_at
hypothetical gene CG018
−3.247195
0.0031031
0.0474828
−2.026211762


220647_s_at
coiled-coil-helix-coiled-
−3.242317
0.0031415
0.0476847
−2.072237994



coil-helix domain



containing 8


218927_s_at
carbohydrate (chondroitin 4)
−3.828828
0.0006929
0.0182515
−0.633744679



sulfotransferase 12


206756_at
carbohydrate (N-
−3.262227
0.0029878
0.0464917
−2.009673908



acetylglucosamine 6-O)



sulfotransferase 7


201953_at
calcium and integrin
−3.533793
0.0014941
0.0301569
−1.373049343



binding 1 (calmyrin)


211759_x_at
cytoskeleton associated
−3.765175
0.0008188
0.0203634
−0.768144821



protein 1


200998_s_at
cytoskeleton-associated
4.8040396
5.13E−005
0.0032122
1.88949702



protein 4


201897_s_at
CDC28 protein kinase
−3.737894
0.0008794
0.021299
−0.835184346



regulatory subunit 1B


204170_s_at
CDC28 protein kinase
−4.024008
0.000414
0.0132384
−0.117323306



regulatory subunit 2


206207_at
Charcot-Leyden crystal
−3.373056
0.002256
0.0391517
−1.742060366



protein /// Charcot-Leyden



crystal protein


220132_s_at
C-type lectin domain family
−3.281114
0.0028487
0.0449592
−1.931100866



2, member D


205200_at
C-type lectin domain family
3.6002946
0.0012581
0.0268042
−1.169519553



3, member B


219890_at
C-type lectin domain family
3.3503678
0.0023901
0.0404668
−1.773779056



5, member A


201560_at
chloride intracellular
4.2349587
0.0002362
0.0092348
0.400098978



channel 4


213317_at
chloride intracellular
−4.295299
0.0002011
0.0082533
0.553245716



channel 5 /// similar to



chloride intracellular



channel 5


200614_at
clathrin, heavy polypeptide
3.4660033
0.0017788
0.033648
−1.541415555



(Hc)


205944_s_at
clathrin, heavy polypeptide-
5.2563008
1.52E−005
0.0013909
3.03933127



like 1


222043_at
clusterin
3.282672
0.0028375
0.0448738
−1.970857824


204576_s_at
clusterin associated protein 1
−3.71827
0.0009256
0.0219904
−0.909965491


218728_s_at
cornichon homolog 4
3.7392849
0.0008762
0.021299
−0.844199093



(Drosophila)


218250_s_at
CCR4-NOT transcription
−5.842978
3.18E−006
0.0004538
4.559729094



complex, subunit 7


219400_at
contactin associated protein 1
−3.390617
0.0021573
0.0378505
−1.692951413


205229_s_at
coagulation factor C
3.2711293
0.0029214
0.0456867
−1.974753283



homolog, cochlin (Limulus




polyphemus)



203630_s_at
component of oligomeric
−3.31867
0.0025904
0.0424462
−1.870753786



golgi complex 5


211011_at
collagen, type XIX, alpha 1
3.4106536
0.0020497
0.0367442
−1.585023799


209156_s_at
collagen, type VI, alpha 2
−3.482818
0.0017036
0.0328251
−1.487885827


209132_s_at
COMM domain containing 4
−3.57659
0.0013377
0.027963
−1.232127592


208684_at
coatomer protein complex,
3.6333038
0.0011548
0.0254961
−1.112624827



subunit alpha


202141_s_at
COP9 constitutive
−3.321304
0.0025731
0.0422529
−1.823820898



photomorphogenic homolog



subunit 8 (Arabidopsis)


218328_at
coenzyme Q4 homolog (S. cerevisiae)
−4.569756
9.63E−005
0.0050396
1.258022498


218760_at
coenzyme Q6 homolog,
−3.259626
0.0030074
0.0466025
−2.036860755



monooxygenase (S. cerevisiae)


201941_at
carboxypeptidase D
4.0181842
0.0004205
0.0132999
−0.124240091


201940_at
carboxypeptidase D
3.8974598
0.0005785
0.0163756
−0.452804899


201943_s_at
carboxypeptidase D
3.401865
0.0020962
0.0372865
−1.684510653


206100_at
carboxypeptidase M
5.2370624
1.60E−005
0.0014332
3.011103109


206918_s_at
copine I
−3.926643
0.0005356
0.0155808
−0.345418637


217552_x_at
complement component
6.5779604
4.64E−007
0.000126
6.412072722



(3b/4b) receptor 1 (Knops



blood group)


205931_s_at
cAMP responsive element
6.8831696
2.12E−007
7.06E−005
7.144372934



binding protein 5


202160_at
CREB binding protein
3.5119738
0.0015805
0.0310987
−1.412212357



(Rubinstein-Taybi



syndrome)


201989_s_at
cAMP responsive element
−4.027119
0.0004106
0.013184
−0.136267875



binding protein-like 2


201988_s_at
cAMP responsive element
−3.303195
0.0026939
0.043311
−1.893960546



binding protein-like 2


206914_at
cytotoxic and regulatory T
−4.308777
0.0001939
0.0080931
0.609962124



cell molecule


207085_x_at
colony stimulating factor 2
4.4039557
0.0001503
0.0067472
0.882785549



receptor, alpha, low-affinity



(granulocyte-macrophage)


210340_s_at
colony stimulating factor 2
3.4562119
0.0018241
0.0340701
−1.479901768



receptor, alpha, low-affinity



(granulocyte-macrophage)


203591_s_at
colony stimulating factor 3
3.9414177
0.0005151
0.0151481
−0.353176878



receptor (granulocyte)


208866_at
casein kinase 1, alpha 1
3.3974592
0.0021199
0.0375801
−1.659325793


211571_s_at
chondroitin sulfate
7.0973548
1.23E−007
5.26E−005
7.681872527



proteoglycan 2 (versican)


215646_s_at
chondroitin sulfate
6.3339611
8.73E−007
0.0002028
5.797392458



proteoglycan 2 (versican) ///



chondroitin sulfate



proteoglycan 2 (versican)


204619_s_at
chondroitin sulfate
6.0890716
1.66E−006
0.000303
5.177048193



proteoglycan 2 (versican)


204620_s_at
chondroitin sulfate
6.0654142
1.77E−006
0.0003031
5.120383055



proteoglycan 2 (versican)


221731_x_at
chondroitin sulfate
5.8762902
2.91E−006
0.0004292
4.635102698



proteoglycan 2 (versican)


204971_at
cystatin A (stefin A)
5.1248468
2.16E−005
0.0017801
2.701041657


201220_x_at
C-terminal binding protein 2
4.3195857
0.0001884
0.0079219
0.61387662


210554_s_at
C-terminal binding protein 2
3.4303186
0.0019492
0.0356839
−1.618943249


218923_at
chitobiase, di-N-acetyl-
3.7964034
0.0007545
0.0193307
−0.700824882


210844_x_at
catenin (cadherin-associated
5.2511975
1.54E−005
0.0014024
3.027675667



protein), alpha 1, 102 kDa


200765_x_at
catenin (cadherin-associated
4.4035529
0.0001505
0.0067472
0.827567487



protein), alpha 1, 102 kDa


200764_s_at
catenin (cadherin-associated
3.7090172
0.0009483
0.0222975
−0.898490034



protein), alpha 1, 102 kDa


213275_x_at
cathepsin B
5.9916022
2.14E−006
0.0003463
4.931225528


200839_s_at
cathepsin B
4.0521749
0.0003842
0.0126796
−0.030845835


200838_at
cathepsin B
3.9776434
0.0004681
0.0142881
−0.224314512


200766_at
cathepsin D (lysosomal
5.0468915
2.67E−005
0.0020584
2.521325146



aspartyl peptidase)


203758_at
cathepsin O
−4.315004
0.0001907
0.0079894
0.607939657


214743_at
cut-like 1, CCAAT
5.6999558
4.65E−006
0.0006125
4.187520279



displacement protein



(Drosophila)


209774_x_at
chemokine (C—X—C motif)
3.3540163
0.002368
0.0402799
−1.728037064



ligand 2


217119_s_at
chemokine (C—X—C motif)
−6.212669
1.20E−006
0.0002407
5.495676727



receptor 3


207681_at
chemokine (C—X—C motif)
−3.332628
0.0025003
0.0415771
−1.856254039



receptor 3


213315_x_at
chromosome X open
−3.306847
0.0026691
0.0431302
−1.897096836



reading frame 40A


212961_x_at
chromosome X open
−3.47027
0.0017594
0.0334519
−1.506477356



reading frame 40B


209163_at
cytochrome b-561
−7.083343
1.27E−007
5.26E−005
7.652027367


201633_s_at
cytochrome b5 type B (outer
−5.031851
2.78E−005
0.0021061
2.481093287



mitochondrial membrane)


202263_at
cytochrome b5 reductase 1
3.5714815
0.0013555
0.0281204
−1.251624017


208923_at
cytoplasmic FMR1
3.2536396
0.0030531
0.0470787
−2.039925523



interacting protein 1


213295_at
cylindromatosis (turban
−3.41317
0.0020365
0.0366857
−1.596737576



tumor syndrome)


202436_s_at
cytochrome P450, family 1,
7.1543503
1.07E−007
4.75E−005
7.822723722



subfamily B, polypeptide 1


202435_s_at
cytochrome P450, family 1,
6.8642415
2.22E−007
7.07E−005
7.116902873



subfamily B, polypeptide 1


202437_s_at
cytochrome P450, family 1,
4.6356941
8.07E−005
0.0043967
1.422390127



subfamily B, polypeptide 1


202434_s_at
cytochrome P450, family 1,
3.3047641
0.0026833
0.0432556
−1.824421763



subfamily B, polypeptide 1


209569_x_at
DNA segment on
−3.283804
0.0028294
0.0448412
−1.963655545



chromosome 4 (unique) 234



expressed sequence


201280_s_at
disabled homolog 2,
6.3730121
7.89E−007
0.000189
5.892530411



mitogen-responsive



phosphoprotein



(Drosophila)


201279_s_at
disabled homolog 2,
5.6555385
5.23E−006
0.000671
4.067400945



mitogen-responsive



phosphoprotein



(Drosophila)


210757_x_at
disabled homolog 2,
4.9450304
3.51E−005
0.0024299
2.230857636



mitogen-responsive



phosphoprotein



(Drosophila)


201278_at
Disabled homolog 2,
3.4578984
0.0018162
0.03398
−1.563783579



mitogen-responsive



phosphoprotein



(Drosophila)


205471_s_at
dachshund homolog 1
4.0081925
0.0004317
0.0135115
−0.115378248



(Drosophila)


203139_at
death-associated protein
4.1353447
0.000308
0.0109442
0.149012444



kinase 1


201763_s_at
death-associated protein 6
−4.129981
0.0003125
0.0110346
0.144263044


209782_s_at
D site of albumin promoter
−4.166334
0.0002837
0.0103617
0.207534971



(albumin D-box) binding



protein


205371_s_at
dihydrolipoamide branched
−4.192267
0.0002647
0.0098805
0.320799932



chain transacylase E2


201571_s_at
dCMP deaminase
−5.147641
2.04E−005
0.0016994
2.780531075


202262_x_at
dimethylarginine
3.3160347
0.0026077
0.0425668
−1.804789011



dimethylaminohydrolase 2


203409_at
damage-specific DNA
−5.289072
1.39E−005
0.0013052
3.150577707



binding protein 2, 48 kDa


221039_s_at
development and
7.0328086
1.45E−007
5.64E−005
7.52906031



differentiation enhancing



factor 1


205763_s_at
DEAD (Asp-Glu-Ala-Asp)
−3.543673
0.0014565
0.0295315
−1.296325793



box polypeptide 18


202578_s_at
DEAD (Asp-Glu-Ala-As)
−3.641141
0.0011316
0.0251896
−1.060434834



box polypeptide 19A


200702_s_at
DEAD (Asp-Glu-Ala-Asp)
−3.62553
0.0011784
0.0258445
−1.129980661



box polypeptide 24


221699_s_at
DEAD (Asp-Glu-Ala-Asp)
−3.331055
0.0025103
0.0416502
−1.805485634



box polypeptide 50 ///



DEAD (Asp-Glu-Ala-Asp)



box polypeptide 50


221081_s_at
DENN/MADD domain
−7.06017
1.35E−007
5.47E−005
7.573105401



containing 2D


218102_at
2-deoxyribose-5-phosphate
5.0635265
2.55E−005
0.0019821
2.549225552



aldolase homolog (C. elegans)


211558_s_at
deoxyhypusine synthase
−5.01955
2.87E−005
0.0021433
2.437676851


202481_at
dehydrogenase/reductase
−3.608352
0.0012321
0.0264526
−1.156000373



(SDR family) member 3


205603_s_at
diaphanous homolog 2
5.3410534
1.21E−005
0.0011938
3.262418645



(Drosophila)


212888_at
Dicer1, Dcr-1 homolog
6.2936145
9.70E−007
0.0002131
5.693791253



(Drosophila)


206061_s_at
Dicer1, Dcr-1 homolog
5.3574322
1.16E−005
0.0011734
3.297311755



(Drosophila)


213229_at
Dicer1, Dcr-1 homolog
3.8200061
0.0007092
0.0185259
−0.663504205



(Drosophila)


204405_x_at
DIM1 dimethyladenosine
−3.515379
0.0015667
0.03095
−1.379202772



transferase 1-like (S. cerevisiae)


216870_x_at
deleted in lymphocytic
3.6089402
0.0012302
0.0264526
−1.157430128



leukemia, 2



discs, large (Drosophila)


202570_s_at
homolog-associated protein 4
3.2471517
0.0031035
0.0474828
−2.026350124


203791_at
Dmx-like 1
3.7891417
0.000769
0.0196056
−0.701683976


215761_at
Dmx-like 2
4.3980768
0.0001527
0.0068192
0.87930287


212820_at
Dmx-like 2
3.5007329
0.0016269
0.0317731
−1.435634663


205963_s_at
DnaJ (Hsp40) homolog,
−3.526575
0.0015222
0.0304477
−1.387021788



subfamily A, member 3


212467_at
DnaJ (Hsp40) homolog,
5.1781615
1.88E−005
0.001614
2.829811318



subfamily C, member 13


218435_at
DnaJ (Hsp40) homolog,
3.4743292
0.0017412
0.0332469
−1.477791792



subfamily C, member 15


203716_s_at
dipeptidyl-peptidase 4
−3.746211
0.0008605
0.0210468
−0.853590542



(CD26, adenosine



deaminase complexing



protein 2)


218627_at
damage-regulated
3.2827191
0.0028371
0.0448738
−1.924923337



autophagy modulator


203258_at
DR1-associated protein 1
−5.164812
1.94E−005
0.0016538
2.790561585



(negative cofactor 2 alpha)


201021_s_at
destrin (actin
−3.617546
0.0012031
0.0261284
−1.147150686



depolymerizing factor)


201041_s_at
dual specificity phosphatase 1
4.7094687
6.62E−005
0.0038597
1.609517757


201044_x_at
dual specificity phosphatase 1
4.0764145
0.0003603
0.0121088
0.023352009


209457_at
dual specificity phosphatase 5
−5.617437
5.79E−006
0.0007164
3.995646934


218660_at
dysferlin, limb girdle
6.9457601
1.81E−007
6.60E−005
7.308255352



muscular dystrophy 2B



(autosomal recessive)


203692_s_at
E2F transcription factor 3
3.8566266
0.0006441
0.0173552
−0.540192125


203693_s_at
E2F transcription factor 3
3.5677866
0.0013685
0.0282886
−1.290562077


204278_s_at
estrogen receptor binding
−3.574152
0.0013462
0.0280347
−1.260917141



site associated, antigen, 9


213787_s_at
emopamil binding protein
−4.08811
0.0003493
0.0118097
0.019054972



(sterol isomerase)


202735_at
emopamil binding protein
−3.345293
0.0024211
0.0407891
−1.788041599



(sterol isomerase)


208091_s_at
EGFR-coamplified and
−3.88912
0.0005913
0.0165114
−0.452383673



overexpressed protein ///



EGFR-coamplified and



overexpressed protein


204642_at
endothelial differentiation,
−4.038768
0.0003981
0.0129796
−0.11096426



sphingolipid G-protein-



coupled receptor, 1


221417_x_at
endothelial differentiation,
−3.462217
0.0017962
0.0338007
−1.546970897



sphingolipid G-protein-



coupled receptor, 8


214394_x_at
eukaryotic translation
−3.303622
0.002691
0.0432955
−1.889520518



elongation factor 1 delta



(guanine nucleotide



exchange protein) /// similar



to Elongation factor 1-delta



(EF-1-delta) (Antigen NY-



CO-4) /// similar to



Elongation factor 1-delta



(EF-1-delta) (Antigen NY-



CO-4)


201694_s_at
early growth response 1
3.5166839
0.0015615
0.03095
−1.289341908


201693_s_at
early growth response 1
3.5118003
0.0015812
0.0310987
−1.369298363


212653_s_at
EH domain binding protein 1
−4.185726
0.0002694
0.0099707
0.28398139


210501_x_at
eukaryotic translation
−4.552227
0.000101
0.0052213
1.25268058



initiation factor 3, subunit



12


221494_x_at
eukaryotic translation
−3.75473
0.0008415
0.0207195
−0.764888451



initiation factor 3, subunit



12


200023_s_at
eukaryotic translation
−3.532563
0.0014989
0.0302253
−1.329606182



initiation factor 3, subunit 5



epsilon, 47 kDa


201530_x_at
eukaryotic translation
3.5580178
0.0014035
0.0287717
−1.236761356



initiation factor 4A, isoform 1


211937_at
eukaryotic translation
−5.371809
1.12E−005
0.0011405
3.353043436



initiation factor 4B


200004_at
eukaryotic translation
4.2222696
0.0002444
0.009383
0.356527453



initiation factor 4 gamma, 2


201935_s_at
eukaryotic translation
4.2961702
0.0002006
0.0082533
0.551465223



initiation factor 4 gamma, 3


201936_s_at
eukaryotic translation
3.6334688
0.0011543
0.0254961
−1.13063218



initiation factor 4 gamma, 3


208707_at
eukaryotic translation
4.4472996
0.0001338
0.0062624
0.93694154



initiation factor 5


201123_s_at
eukaryotic translation
−5.801158
3.55E−006
0.0004944
4.464733997



initiation factor 5A


201122_x_at
eukaryotic translation
−3.809947
0.0007282
0.0188048
−0.671071201



initiation factor 5A


214831_at
ELK4, ETS-domain protein
−3.462772
0.0017936
0.0338007
−1.527188055



(SRF accessory protein 1)


210868_s_at
ELOVL family member 6,
−3.79181
0.0007636
0.0194913
−0.727144732



elongation of long chain



fatty acids (FEN1/Elo2,



SUR4/Elo3-like, yeast)


201313_at
enolase 2 (gamma,
−3.223775
0.0032914
0.0492896
−2.076776403



neuronal)


201718_s_at
erythrocyte membrane
−4.055973
0.0003804
0.0126315
−0.043303546



protein band 4.1-like 2


207347_at
excision repair cross-
−3.840298
0.0006724
0.0179215
−0.616669739



complementing rodent



repair deficiency,



complementation group 6


218135_at
ERGIC and golgi 2
−4.464176
0.0001279
0.0060775
0.99047641


205530_at
electron-transferring-
3.9159589
0.0005509
0.0159223
−0.395064569



flavoprotein dehydrogenase


212627_s_at
exosome component 7
−3.31496
0.0026148
0.0426086
−1.893669394


205061_s_at
exosome component 9
−3.692575
0.0009898
0.0229986
−0.965140672


201995_at
exostoses (multiple) 1
3.4801097
0.0017155
0.0330115
−1.488858072


204713_s_at
coagulation factor V
7.8705559
1.81E−008
1.55E−005
9.39995824



(proaccelerin, labile factor)


204714_s_at
coagulation factor V
6.9047733
2.00E−007
7.06E−005
7.202864473



(proaccelerin, labile factor)


212400_at
family with sequence
−3.253637
0.0030532
0.0470787
−2.015754576



similarity 102, member A


219694_at
family with sequence
3.4017798
0.0020967
0.0372865
−1.670962443



similarity 105, member A


221249_s_at
family with sequence
−3.862552
0.0006341
0.0171698
−0.540686253



similarity 117, member A ///



family with sequence



similarity 117, member A


221804_s_at
family with sequence
4.1804885
0.0002732
0.0100774
0.255914546



similarity 45, member B ///



family with sequence



similarity 45, member A


218023_s_at
family with sequence
5.7174035
4.43E−006
0.0005917
4.251355639



similarity 53, member C


221856_s_at
family with sequence
3.439632
0.0019032
0.0351878
−1.580973955



similarity 63, member A


218126_at
family with sequence
−3.911519
0.0005574
0.0160474
−0.419630655



similarity 82, member C


218689_at
Fanconi anemia,
−6.820166
2.49E−007
7.59E−005
7.008995717



complementation group F


204282_s_at
phenylalanine-tRNA
−3.612701
0.0012183
0.0263005
−1.157771585



synthetase 2 (mitochondrial)


210865_at
Fas ligand (TNF
−4.361034
0.0001686
0.0073109
0.717257398



superfamily, member 6)


211623_s_at
fibrillarin /// fibrillarin
−3.326498
0.0025395
0.0419858
−1.819337447


203088_at
fibulin 5
−4.67838
7.20E−005
0.0041288
1.543435915


203184_at
fibrillin 2 (congenital
5.5614222
6.72E−006
0.0007799
3.823371594



contractural arachnodactyly)


209004_s_at
F-box and leucine-rich
3.5644958
0.0013802
0.0284511
−1.285420779



repeat protein 5


212231_at
F-box protein 21
−4.221394
0.0002449
0.009383
0.41096576


205310_at
F-box protein 46
−4.123814
0.0003176
0.0111289
0.165309811


212987_at
F-box protein 9
5.3148623
1.30E−005
0.0012539
3.218957986


211306_s_at
Fc fragment of IgA,
4.0480165
0.0003885
0.0127232
−0.049070311



receptor for


211816_x_at
Fc fragment of IgA,
3.4189853
0.0020065
0.0362752
−1.558474604



receptor for


211734_s_at
Fc fragment of IgE, high
−4.494507
0.0001179
0.0057245
1.092010728



affinity I, receptor for; alpha



polypeptide /// Fc fragment



of IgE, high affinity I,



receptor for; alpha



polypeptide


204006_s_at
Fc fragment of IgG, low
−3.624804
0.0011806
0.0258461
−1.058038116



affinity IIIa, receptor



(CD16a) /// Fc fragment of



IgG, low affinity IIIb,



receptor (CD16b)


201798_s_at
fer-1-like 3, myoferlin (C. elegans)
4.4912012
0.000119
0.005763
1.049913681


205418_at
feline sarcoma oncogene
5.9270565
2.54E−006
0.0003896
4.78529014


221345_at
free fatty acid receptor 2
3.7742912
0.0007995
0.0199959
−0.754985333


208438_s_at
Gardner-Rasheed feline
4.6336206
8.12E−005
0.0044105
1.468854007



sarcoma viral (v-fgr)



oncogene homolog


218530_at
formin homology 2 domain
3.9468708
0.0005078
0.015057
−0.321820355



containing 1


218034_at
fission 1 (mitochondrial
−4.295923
0.0002007
0.0082533
0.547291185



outer membrane) homolog



(S. cerevisiae)


204560_at
FK506 binding protein 5
4.107492
0.0003317
0.0114603
0.139428193


220326_s_at
hypothetical protein
5.1295006
2.14E−005
0.0017645
2.726367378



FLJ10357


58780_s_at
hypothetical protein
4.2198917
0.0002459
0.0093959
0.358106904



FLJ10357


207489_at
hypothetical protein
4.0338341
0.0004034
0.0130454
−0.109808126



FLJ12331


218798_at
hypothetical protein
−3.539188
0.0014735
0.0298211
−1.339420785



FLJ12949


219383_at
hypothetical protein
−3.337828
0.0024675
0.0411856
−1.852406633



FLJ14213


212995_x_at
hypothetical protein
−3.747357
0.0008579
0.0210069
−0.844742283



FLJ14346


218035_s_at
RNA-binding protein
5.4428778
9.22E−006
0.000993
3.5426128


218844_at
hypothetical protein
−3.672072
0.0010441
0.0238623
−1.018592493



FLJ20920


218454_at
hypothetical protein
5.8561059
3.07E−006
0.0004411
4.585888994



FLJ22662


206674_at
fms-related tyrosine kinase 3
8.9158813
1.54E−009
2.06E−006
11.78456326


206980_s_at
fms-related tyrosine kinase
−5.706615
4.56E−006
0.0006053
4.21788194



3 ligand


210607_at
fms-related tyrosine kinase
−4.119996
0.0003209
0.0111897
0.158338196



3 ligand


210495_x_at
fibronectin 1
5.0922513
2.36E−005
0.0018807
2.626974991


218618_s_at
fibronectin type III domain
5.1939187
1.80E−005
0.0015652
2.874308796



containing 3B


209471_s_at
farnesyltransferase, CAAX
−6.417811
7.02E−007
0.00017
6.013878869



box, alpha


200090_at
farnesyltransferase, CAAX
−5.001284
3.02E−005
0.0021978
2.409299438



box, alpha ///



farnesyltransferase, CAAX



box, alpha


209189_at
v-fos FBJ murine
4.0088762
0.0004309
0.0135115
−0.143277902



osteosarcoma viral



oncogene homolog


202768_at
FBJ murine osteosarcoma
3.7634392
0.0008225
0.0204012
−0.711235189



viral oncogene homolog B


204131_s_at
forkhead box O3A
3.5286133
0.0015142
0.0303425
−1.375339602


205118_at
formyl peptide receptor 1 ///
5.9215304
2.58E−006
0.0003896
4.772959009



formyl peptide receptor 1


205119_s_at
formyl peptide receptor 1 ///
5.0307434
2.79E−005
0.0021061
2.466325313



formyl peptide receptor 1


219889_at
frequently rearranged in
6.25963
1.06E−006
0.0002272
5.619733039



advanced T-cell lymphomas


209864_at
frequently rearranged in
4.318654
0.0001889
0.0079267
0.640077595



advanced T-cell lymphomas 2


217370_x_at
fusion (involved in t(12; 16)
−4.05063
0.0003858
0.0126796
−0.046999583



in malignant liposarcoma)


203172_at
fragile X mental retardation,
−4.152206
0.0002945
0.0106
0.200605037



autosomal homolog 2


211794_at
FYN binding protein (FYB-
4.3307103
0.0001829
0.0077777
0.642007649



120/130)


221245_s_at
frizzled homolog 5
4.694694
6.89E−005
0.0039856
1.608281324



(Drosophila) /// frizzled



homolog 5 (Drosophila)


201514_s_at
Ras-GTPase-activating
−4.295195
0.0002011
0.0082533
0.56604055



protein SH3-domain-



binding protein


203853_s_at
GRB2-associated binding
3.2714613
0.0029189
0.0456867
−1.967358997



protein 2


203725_at
growth arrest and DNA-
4.2667591
0.000217
0.0086937
0.520267264



damage-inducible, alpha


212891_s_at
growth arrest and DNA-
−3.246634
0.0031075
0.0474928
−2.052471661



damage-inducible, gamma



interacting protein 1


203066_at
B cell RAG associated
3.9528999
0.0004997
0.0149201
−0.31680701



protein


218871_x_at
chondroitin sulfate
4.6544425
7.67E−005
0.0042428
1.472480579



GalNAcT-2


222235_s_at
chondroitin sulfate
4.5727008
9.56E−005
0.0050126
1.248946807



GalNAcT-2 /// similar to



chondroitin beta1,4 N-



acetylgalactosaminyltransferase 2


206335_at
galactosamine (N-acetyl)-6-
6.3239096
8.96E−007
0.0002059
5.779394683



sulfate sulfatase (Morquio



syndrome,



mucopolysaccharidosis type



IVA)


213123_at
UDP-N-acetyl-alpha-D-
3.590157
0.0012916
0.0272538
−1.16392073



galactosamine:polypeptide



N-



acetylgalactosaminyltransferase



10 (GalNAc-T10)


219013_at
UDP-N-acetyl-alpha-D-
−3.6284
0.0011696
0.0257286
−1.029403369



galactosamine:polypeptide



N-



acetylgalactosaminyltransferase



11 (GalNAc-T11)


218885_s_at
UDP-N-acetyl-alpha-D-
−3.63636
0.0011457
0.0253776
−1.097243728



galactosamine:polypeptide



N-



acetylgalactosaminyltransferase



12 (GalNAc-T12)


219271_at
UDP-N-acetyl-alpha-D-
3.3232187
0.0025607
0.0421413
−1.852845209



galactosamine:polypeptide



N-



acetylgalactosaminyltransferase



14 (GalNAc-T14)


212802_s_at
GTPase activating protein
5.0536126
2.62E−005
0.0020286
2.511271364



and VPS9 domains 1


31874_at
growth arrest-specific 2 like 1
4.4243454
0.0001423
0.0064859
0.884627296


202192_s_at
growth arrest-specific 7
5.9982522
2.11E−006
0.0003463
4.960463643


202191_s_at
growth arrest-specific 7
5.308446
1.32E−005
0.0012701
3.178627359


211067_s_at
growth arrest-specific 7 ///
4.2187391
0.0002467
0.0093959
0.359407526



growth arrest-specific 7


210872_x_at
growth arrest-specific 7
3.8805892
0.0006047
0.0167115
−0.476479009


209602_s_at
GATA binding protein 3
−5.026144
2.82E−005
0.0021203
2.494288905


209604_s_at
GATA binding protein 3
−4.78928
5.34E−005
0.0033048
1.915617587


209603_at
GATA binding protein 3
−3.604179
0.0012455
0.0266858
−1.202176556


210589_s_at
glucosidase, beta; acid
3.6710052
0.001047
0.0239041
−0.941374007



(includes



glucosylceramidase) ///



glucosidase, beta; acid,



pseudogene


202270_at
guanylate binding protein 1,
−5.322769
1.27E−005
0.0012383
3.209826749



interferon-inducible, 67 kDa



/// guanylate binding protein



1, interferon-inducible,



67 kDa


202269_x_at
guanylate binding protein 1,
−3.95713
0.0004942
0.0148205
−0.327860613



interferon-inducible, 67 kDa



/// guanylate binding protein



1, interferon-inducible,



67 kDa


203765_at
grancalcin, EF-hand
5.170551
1.91E−005
0.0016347
2.846947326



calcium binding protein ///



grancalcin, EF-hand



calcium binding protein


64064_at
GTPase, IMAP family
−6.980471
1.65E−007
6.14E−005
7.401416652



member 5


218805_at
GTPase, IMAP family
−6.740512
3.05E−007
8.94E−005
6.81182532



member 5 /// GTPase,



IMAP family member 5


219777_at
GTPase, IMAP family
−5.118
2.21E−005
0.0017933
2.694826934



member 6


203157_s_at
glutaminase
−4.501795
0.0001156
0.005663
1.137989862


203158_s_at
glutaminase
−3.6841
0.0010119
0.023375
−0.994282181


218146_at
glycosyltransferase 8
−4.803997
5.13E−005
0.0032122
1.883820709



domain containing 1


215001_s_at
glutamate-ammonia ligase
6.9032827
2.01E−007
7.06E−005
7.211931747



(glutamine synthetase)


205349_at
guanine nucleotide binding
4.9193864
3.76E−005
0.0025327
2.184476093



protein (G protein), alpha 15



(Gq class)


202615_at
Guanine nucleotide binding
4.9510738
3.45E−005
0.0024056
2.25862776



protein (G protein), q



polypeptide


201921_at
guanine nucleotide binding
4.4835854
0.0001214
0.0058615
1.044237137



protein (G protein), gamma



10 /// hypothetical protein



LOC552891 /// GNG10



pseudogene


217629_at
Guanine nucleotide binding
−4.022362
0.0004158
0.0132558
−0.129572667



protein (G protein), gamma



transducing activity



polypeptide 2


37145_at
granulysin
−3.725681
0.0009079
0.0217998
−0.854629872


205495_s_at
granulysin /// granulysin
−3.311004
0.0026412
0.0428338
−1.874727886


212335_at
glucosamine (N-acetyl)-6-
3.2533911
0.0030551
0.0470787
−2.005598687



sulfatase (Sanfilippo disease



IIID)


208842_s_at
golgi reassembly stacking
−3.364738
0.0023043
0.0395937
−1.759729792



protein 2, 55 kDa


208524_at
G protein-coupled receptor
−3.778418
0.0007909
0.0199363
−0.759793442



15


207651_at
G protein-coupled receptor
−4.483268
0.0001215
0.0058615
1.051725756



171


210279_at
G protein-coupled receptor
−4.568339
9.67E−005
0.005047
1.291304293



18


210640_s_at
G protein-coupled receptor
6.4845034
5.90E−007
0.000153
6.173410568



30


211829_s_at
G protein-coupled receptor
6.4243249
6.90E−007
0.000169
5.992630343



30


200736_s_at
glutathione peroxidase 1
3.2579198
0.0030204
0.0467675
−2.017711816


213170_at
glutathione peroxidase 7
−3.584048
0.0013122
0.0275837
−1.221262861


209409_at
growth factor receptor-
5.3455611
1.20E−005
0.0011938
3.314645486



bound protein 10


215248_at
growth factor receptor-
3.9561994
0.0004954
0.014837
−0.293993285



bound protein 10


210999_s_at
growth factor receptor-
3.2985761
0.0027256
0.0437257
−1.853963312



bound protein 10


206204_at
growth factor receptor-
3.3617924
0.0023216
0.0396727
−1.734798733



bound protein 14


211284_s_at
granulin
3.510023
0.0015885
0.0311589
−1.399242598


217751_at
glutathione S-transferase
−3.38872
0.0021677
0.0380042
−1.68153571



kappa 1


209531_at
glutathione transferase zeta
3.309628
0.0026504
0.0428897
−1.880465024



1 (maleylacetoacetate



isomerase)


221540_x_at
general transcription factor
4.2378448
0.0002344
0.00918
0.449826484



IIH, polypeptide 2, 44 kDa



/// similar to TFIIH basal



transcription factor complex



p44 subunit (Basic



transcription factor 2 44 kDa



subunit) (BTF2-p44)



(General transcription factor



IIH polypeptide 2) ///



similar to TFIIH basal



transcription factor complex



p44 subunit (Basic



transcription factor 2 44 kDa



subunit) (BTF2-p44)



(General transcription factor



IIH polypeptide 2) ///



similar to TFIIH basal



transcription factor complex



p44 subunit (Basic



transcription factor 2 44 kDa



subunit) (BTF2-p44)



(General transcription factor



IIH polypeptide 2) ///



similar to TFIIH basal



transcription factor complex



p44 subunit (Basic



transcription factor 2 44 kDa



subunit) (BTF2-p44)



(General transcription factor



IIH polypeptide 2)


206312_at
guanylate cyclase 2C (heat
3.9198857
0.0005452
0.0157992
−0.395403161



stable enterotoxin receptor)


205488_at
granzyme A (granzyme 1,
−3.235456
0.0031962
0.0481577
−2.066327902



cytotoxic T-lymphocyte-



associated serine esterase 3)



/// granzyme A (granzyme



1, cytotoxic T-lymphocyte-



associated serine esterase 3)


210164_at
granzyme B (granzyme 2,
−4.099023
0.0003393
0.0116248
0.056488099



cytotoxic T-lymphocyte-



associated serine esterase 1)



/// granzyme B (granzyme 2,



cytotoxic T-lymphocyte-



associated serine esterase 1)


206666_at
granzyme K (granzyme 3;
−3.337958
0.0024667
0.0411856
−1.850137772



tryptase II) /// granzyme K



(granzyme 3; tryptase II)


207460_at
granzyme M (lymphocyte
−7.750349
2.43E−008
1.84E−005
9.235332652



met-ase 1)


211940_x_at
H3 histone, family 3A /// H3
4.0668453
0.0003696
0.0123274
−0.024909632



histone, family 3A



pseudogene /// similar to H3



histone, family 3B


211997_x_at
H3 histone, family 3B
6.0804473
1.70E−006
0.0003031
5.168767149



(H3.3B)


209069_s_at
H3 histone, family 3B
3.938916
0.0005185
0.0151633
−0.343922952



(H3.3B)


211999_at
H3 histone, family 3B
3.6139171
0.0012144
0.0262475
−1.149245616



(H3.3B)


201007_at
hydroxyacyl-Coenzyme A
4.5052763
0.0001146
0.0056227
1.119680068



dehydrogenase/3-ketoacyl-



Coenzyme A thiolase/enoyl-



Coenzyme A hydratase



(trifunctional protein), beta



subunit


206643_at
histidine ammonia-lyase
3.914753
0.0005527
0.0159523
−0.418468154


205086_s_at
kleisin beta
−3.808789
0.0007304
0.0188366
−0.677317191


216176_at
hepatocellular carcinoma-
3.3388445
0.0024611
0.0411468
−1.816395512



related HCRP1


200643_at
high density lipoprotein
3.5783444
0.0013317
0.0278887
−1.186427982



binding protein (vigilin)


203674_at
helicase with zinc finger
7.2191971
9.05E−008
4.20E−005
7.981565104


219863_at
hect domain and RLD 5
−5.51013
7.71E−006
0.0008629
3.69458333


217168_s_at
homocysteine-inducible,
3.6265069
0.0011754
0.025808
−1.142924336



endoplasmic reticulum



stress-inducible, ubiquitin-



like domain member 1


209960_at
hepatocyte growth factor
4.5101834
0.0001131
0.0055737
1.140038475



(hepapoietin A; scatter



factor)


208826_x_at
histidine triad nucleotide
−7.684964
2.85E−008
1.94E−005
9.064674732



binding protein 1


207721_x_at
histidine triad nucleotide
−6.078022
1.71E−006
0.0003031
5.159287966



binding protein 1


200093_s_at
histidine triad nucleotide
−4.572629
9.56E−005
0.0050126
1.275769263



binding protein 1 ///



histidine triad nucleotide



binding protein 1


205425_at
huntingtin interacting
6.2228987
1.17E−006
0.000239
5.53011363



protein 1


212293_at
homeodomain interacting
3.5103848
0.001587
0.0311573
−1.418182076



protein kinase 1


214472_at
histone 1, H3d
3.9115202
0.0005574
0.0160474
−0.412988902


212642_s_at
human immunodeficiency
−3.648463
0.0011102
0.0249641
−1.02658605



virus type I enhancer



binding protein 2


205936_s_at
hexokinase 3 (white cell)
4.1085693
0.0003308
0.0114453
0.08033075


217436_x_at
major histocompatibility
−3.872049
0.0006185
0.0169312
−0.528414628



complex, class I, A /// major



histocompatibility complex,



class I, H (pseudogene) ///



similar to HLA class I



histocompatibility antigen,



A-29 alpha chain precursor



(MHC class I antigen A*29)



(Aw-19)


211799_x_at
major histocompatibility
−4.358409
0.0001698
0.0073482
0.717811791



complex, class I, C


217478_s_at
major histocompatibility
−3.824157
0.0007015
0.0183997
−0.623815331



complex, class II, DM alpha


203932_at
major histocompatibility
−3.634205
0.0011521
0.0254947
−1.056546653



complex, class II, DM beta



/// major histocompatibility



complex, class II, DM beta


213537_at
major histocompatibility
−6.587999
4.52E−007
0.0001258
6.436948993



complex, class II, DP alpha 1


211991_s_at
major histocompatibility
−6.311143
9.27E−007
0.0002065
5.749261512



complex, class II, DP alpha 1


211990_at
major histocompatibility
−4.280165
0.0002094
0.0084515
0.566672642



complex, class II, DP alpha 1


201137_s_at
major histocompatibility
−3.614986
0.0012111
0.0262003
−1.155985014



complex, class II, DP beta 1


213831_at
major histocompatibility
−3.995803
0.0004461
0.0138256
−0.172214115



complex, class II, DQ alpha 1


212671_s_at
major histocompatibility
−4.092344
0.0003454
0.011731
0.046805587



complex, class II, DQ alpha



1 /// major



histocompatibility complex,



class II, DQ alpha 2 ///



similar to HLA class II



histocompatibility antigen,



DQ(1) alpha chain precursor



(DC-4 alpha chain)


211656_x_at
major histocompatibility
−3.674571
0.0010373
0.0237807
−1.005931013



complex, class II, DQ beta 1



/// major histocompatibility



complex, class II, DQ beta 1


212998_x_at
major histocompatibility
−3.458473
0.0018135
0.03398
−1.540082498



complex, class II, DQ beta 1



/// major histocompatibility



complex, class II, DQ beta 1


208894_at
major histocompatibility
−5.239628
1.59E−005
0.0014332
3.025365609



complex, class II, DR alpha



/// major histocompatibility



complex, class II, DR alpha


210982_s_at
major histocompatibility
−3.95278
0.0004999
0.0149201
−0.288358242



complex, class II, DR alpha


215193_x_at
major histocompatibility
−4.972434
3.26E−005
0.0023134
2.327548311



complex, class II, DR beta 1


209312_x_at
major histocompatibility
−4.658021
7.60E−005
0.0042231
1.511437493



complex, class II, DR beta 1



/// major histocompatibility



complex, class II, DR beta 1


208306_x_at
Major histocompatibility
−3.968671
0.0004793
0.014558
−0.219488761



complex, class II, DR beta 1


200905_x_at
major histocompatibility
−4.102606
0.0003361
0.0115515
0.077522628



complex, class I, E


211528_x_at
HLA-G histocompatibility
−3.924786
0.0005382
0.0156369
−0.373920882



antigen, class I, G


214438_at
H2.0-like homeobox 1
6.1182254
1.54E−006
0.0002856
5.26739525



(Drosophila)


210457_x_at
high mobility group AT-
−4.924712
3.71E−005
0.0025118
2.202290331



hook 1


208808_s_at
high-mobility group box 2
4.5802596
9.37E−005
0.0049464
1.27310201


208668_x_at
high-mobility group
−3.853289
0.0006498
0.017466
−0.566733623



nucleosomal binding



domain 2


202579_x_at
high mobility group
−3.977857
0.0004678
0.0142881
−0.258737579



nucleosomal binding



domain 4


218120_s_at
heme oxygenase (decycling) 2
−4.263943
0.0002186
0.0087153
0.518902503


204112_s_at
histamine N-
3.4363345
0.0019194
0.0353466
−1.57843365



methyltransferase


213470_s_at
heterogeneous nuclear
−4.068773
0.0003677
0.0122829
0.005449397



ribonucleoprotein H1 (H)


204647_at
homer homolog 3
3.3126325
0.0026303
0.0427508
−1.879916944



(Drosophila)


206697_s_at
haptoglobin
5.6431699
5.40E−006
0.0006841
4.071744431


208470_s_at
haptoglobin /// haptoglobin-
5.1715605
1.91E−005
0.0016347
2.848262148



related protein


213926_s_at
HIV-1 Rev binding protein
4.7178164
6.47E−005
0.0038217
1.690347444


218092_s_at
HIV-1 Rev binding protein
6.6361304
3.99E−007
0.000114
6.555967735



/// region containing



hypothetical protein



LOC285086; HIV-1 Rev



binding protein


218091_at
HIV-1 Rev binding protein
6.1478546
1.42E−006
0.0002709
5.340512512



/// region containing



hypothetical protein



LOC285086; HIV-1 Rev



binding protein


219020_at
HCLS1 binding protein 3
3.3344318
0.0024888
0.041449
−1.750447132


201413_at
hydroxysteroid (17-beta)
3.6123932
0.0012192
0.0263005
−1.159977129



dehydrogenase 4


213540_at
hydroxysteroid (17-beta)
−4.508218
0.0001137
0.0055908
1.118693495



dehydrogenase 8


200599_s_at
heat shock protein 90 kDa
3.3817275
0.0022067
0.038506
−1.743607161



beta (Grp94), member 1


211936_at
heat shock 70 kDa protein 5
7.6812023
2.88E−008
1.94E−005
9.061677362



(glucose-regulated protein,



78 kDa)


117_at
heat shock 70 kDa protein 6
4.4441285
0.000135
0.0062793
0.962217918



(HSP70B′) /// similar to heat



shock 70 kDa protein 6



(HSP70B)


208687_x_at
heat shock 70 kDa protein 8
−3.749197
0.0008538
0.020929
−0.808618995


217774_s_at
hypothetical protein
−4.331529
0.0001825
0.0077777
0.636657208



HSPC152


209192_x_at
HIV-1 Tat interacting
−4.543175
0.0001035
0.0052977
1.206265326



protein, 60 kDa


202601_s_at
HIV-1 Tat specific factor 1
−3.570133
0.0013603
0.0281697
−1.264175367


201185_at
HtrA serine peptidase 1
6.2530319
1.08E−006
0.000229
5.605563874


204683_at
intercellular adhesion
−4.945736
3.50E−005
0.0024299
2.231239329



molecule 2


213620_s_at
intercellular adhesion
−3.244089
0.0031275
0.0476847
−2.058144012



molecule 2


207826_s_at
inhibitor of DNA binding 3,
−4.069872
0.0003666
0.0122655
−0.025709751



dominant negative helix-



loop-helix protein


201193_at
isocitrate dehydrogenase 1
4.1280137
0.0003141
0.0110574
0.133788875



(NADP+), soluble


210046_s_at
isocitrate dehydrogenase 2
−3.42705
0.0019655
0.0358275
−1.601186988



(NADP+), mitochondrial


219209_at
interferon induced with
−6.843417
2.34E−007
7.25E−005
7.064971115



helicase C domain 1


203153_at
interferon-induced protein
−3.885196
0.0005975
0.0166033
−0.489474551



with tetratricopeptide



repeats 1 /// interferon-



induced protein with



tetratricopeptide repeats 1


217502_at
interferon-induced protein
−8.647679
2.86E−009
3.18E−006
11.27869101



with tetratricopeptide



repeats 2


201601_x_at
interferon induced
−8.572445
3.40E−009
3.61E−006
11.07737096



transmembrane protein 1 (9-



27)


214022_s_at
interferon induced
−6.053528
1.82E−006
0.0003098
5.105034551



transmembrane protein 1 (9-



27)


202727_s_at
interferon gamma receptor 1
5.1904147
1.82E−005
0.0015739
2.865547775


211676_s_at
interferon gamma receptor 1
5.0382235
2.73E−005
0.0020782
2.491115317



/// interferon gamma



receptor 1


220418_at
intraflagellar transport 52
−3.473124
0.0017466
0.0332929
−1.50759025 1



homolog (Chlamydomonas)



/// ubiquitin associated and



SH3 domain containing, A


201393_s_at
insulin-like growth factor 2
3.7088704
0.0009486
0.0222975
−0.916919378



receptor


201392_s_at
insulin-like growth factor 2
3.6658659
0.0010611
0.024078
−1.039135915



receptor


210095_s_at
insulin-like growth factor
−4.61452
8.54E−005
0.0045759
1.376610207



binding protein 3


211648_at
Immunoglobulin heavy
3.4148635
0.0020277
0.0365865
−1.652226321



constant gamma 1 (G1m



marker) /// Immunoglobulin



heavy constant gamma 1



(G1m marker)


208759_at
inhibitor of kappa light
5.2373614
1.60E−005
0.0014332
2.993747875



polypeptide gene enhancer



in B-cells, kinase beta ///



nicastrin


207433_at
interleukin 10
4.7467925
5.99E−005
0.0035952
1.759734814


205992_s_at
interleukin 15
−3.322441
0.0025657
0.0421622
−1.843262001


209827_s_at
interleukin 16 (lymphocyte
−3.910659
0.0005587
0.0160631
−0.379721498



chemoattractant factor)


209828_s_at
interleukin 16 (lymphocyte
−3.82923
0.0006922
0.0182515
−0.603933622



chemoattractant factor)


205707_at
interleukin 17 receptor A
5.5310092
7.29E−006
0.0008252
3.760384407


215691_x_at
interleukin 17 receptor B
−3.243106
0.0031352
0.0476847
−2.04047892


211372_s_at
interleukin 1 receptor, type
26.109122
1.01E−020
2.24E−016
30.71443211



II


205403_at
interleukin 1 receptor, type
19.405844
2.07E−017
1.54E−013
26.80773514



II


210233_at
interleukin 1 receptor
3.7691567
0.0008103
0.0202199
−0.754697943



accessory protein


221658_s_at
interleukin 21 receptor
−5.070272
2.51E−005
0.0019651
2.562612895


219971_at
interleukin 21 receptor
−3.590188
0.0012915
0.0272538
−1.238275236


220054_at
interleukin 23, alpha subunit
−3.71876
0.0009244
0.0219904
−0.917115066



p19


211269_s_at
interleukin 2 receptor, alpha
−3.520267
0.0015471
0.0308311
−1.373329098


205291_at
interleukin 2 receptor, beta
−4.517826
0.0001108
0.0055225
1.203270348



/// interleukin 2 receptor,



beta


204116_at
interleukin 2 receptor,
−5.991858
2.14E−006
0.0003463
4.934872705



gamma (severe combined



immunodeficiency)


203828_s_at
interleukin 32 /// interleukin
−6.070581
1.74E−006
0.0003031
5.138343653



32


206148_at
interleukin 3 receptor, alpha
−3.449826
0.0018542
0.0344017
−1.536390539



(low affinity)


210624_s_at
ilvB (bacterial acetolactate
−4.219376
0.0002463
0.0093959
0.394490026



synthase)-like


202993_at
ilvB (bacterial acetolactate
−3.779598
0.0007885
0.0199198
−0.737006639



synthase)-like


221688_s_at
IMP3, U3 small nucleolar
−7.319613
7.04E−008
3.68E−005
8.216503503



ribonucleoprotein, homolog



(yeast)


203126_at
inositol(myo)-1(or 4)-
3.7269232
0.0009049
0.0217764
−0.882476439



monophosphatase 2


208415_x_at
inhibitor of growth family,
−4.07692
0.0003598
0.0121088
−0.004470983



member 1


205376_at
inositol polyphosphate-4-
−4.595824
8.98E−005
0.0047658
1.39109981



phosphatase, type II,



105 kDa


213643_s_at
inositol polyphosphate-5-
−3.367908
0.0022858
0.0394532
−1.731726886



phosphatase, 75 kDa


200791_s_at
IQ motif containing GTPase
3.2631617
0.0029807
0.0464454
−2.002638127



activating protein 1


220034_at
interleukin-1 receptor-
5.4039304
1.02E−005
0.0010761
3.431338998



associated kinase 3


202531_at
interferon regulatory factor 1
−7.657986
3.04E−008
2.00E−005
9.022177601


204057_at
interferon regulatory factor
3.8472981
0.0006601
0.0176581
−0.554920139



8 /// interferon regulatory



factor 8


209185_s_at
insulin receptor substrate 2
5.8709077
2.95E−006
0.0004325
4.626342036


209184_s_at
insulin receptor substrate 2
4.7741093
5.56E−005
0.0033861
1.772541175


33304_at
interferon stimulated
−3.544404
0.0014538
0.0295296
−1.287359346



exonuclease gene 20 kDa


204698_at
interferon stimulated
−3.317685
0.0025968
0.0424462
−1.821499233



exonuclease gene 20 kDa


203882_at
interferon-stimulated
−4.085791
0.0003514
0.0118647
0.013470233



transcription factor 3,



gamma 48 kDa


215177_s_at
integrin, alpha 6
−3.307456
0.002665
0.043095
−1.877304459


209663_s_at
integrin, alpha 7
5.3396809
1.22E−005
0.0011938
3.290116774


205786_s_at
integrin, alpha M
6.4795743
5.98E−007
0.0001532
6.164969498



(complement component 3



receptor 3 subunit) ///



integrin, alpha M



(complement component 3



receptor 3 subunit)


205718_at
integrin, beta 7
−3.813001
0.0007223
0.0187518
−0.660874302


211339_s_at
IL2-inducible T-cell kinase
−4.079053
0.0003578
0.0120606
0.047552228


202747_s_at
integral membrane protein
−3.949054
0.0005048
0.0149988
−0.323121402



2A


202660_at
inositol 1,4,5-triphosphate
5.638527
5.47E−006
0.0006887
4.04200894



receptor, type 2


209297_at
intersectin 1 (SH3 domain
4.4961321
0.0001174
0.0057121
1.09773516



protein)


35776_at
intersectin 1 (SH3 domain
4.2587077
0.0002217
0.0087963
0.516230272



protein)


209298_s_at
intersectin 1 (SH3 domain
3.3783574
0.0022257
0.0387169
−1.67591757



protein)


212813_at
junctional adhesion
3.8970408
0.0005791
0.0163756
−0.439247137



molecule 3


203298_s_at
Jumonji, AT rich interactive
6.2222872
1.17E−006
0.000239
5.518414859



domain 2


203297_s_at
Jumonji, AT rich interactive
5.5235106
7.44E−006
0.0008368
3.730979139



domain 2


214326_x_at
jun D proto-oncogene
−3.719533
0.0009226
0.0219904
−0.907773953


203751_x_at
jun D proto-oncogene
−3.451799
0.0018448
0.0343232
−1.557450877


200079_s_at
lysyl-tRNA synthetase
−3.787362
0.0007726
0.0196639
−0.682018638


218569_s_at
kelch repeat and BTB
−3.882084
0.0006024
0.0166948
−0.498696124



(POZ) domain containing 4


220776_at
potassium inwardly-
4.6552087
7.66E−005
0.0042428
1.477866216



rectifying channel,



subfamily J, member 14


210119_at
potassium inwardly-
4.7139681
6.54E−005
0.003834
1.683509803



rectifying channel,



subfamily J, member 15


211806_s_at
potassium inwardly-
3.8646365
0.0006307
0.0171291
−0.445652436



rectifying channel,



subfamily J, member 15


206765_at
potassium inwardly-
3.9638873
0.0004854
0.014642
−0.229367315



rectifying channel,



subfamily J, member 2


212188_at
potassium channel
5.042749
2.70E−005
0.002062
2.488419179



tetramerisation domain



containing 12


212192_at
potassium channel
4.116171
0.0003242
0.0112496
0.091715946



tetramerisation domain



containing 12


212441_at
KIAA0232 gene product
3.8815269
0.0006033
0.0166985
−0.518009001


212053_at
KIAA0251 protein
3.6209572
0.0011925
0.0259769
−1.128604719


81737_at
KIAA0251 protein
3.5355572
0.0014873
0.0300472
−1.327836238


215696_s_at
KIAA0310
3.8392722
0.0006742
0.0179484
−0.614705395


217929_s_at
KIAA0319-like
3.3258065
0.0025439
0.0420125
−1.852460717


204308_s_at
KIAA0329
3.2649506
0.0029673
0.0462889
−1.985006287


213304_at
KIAA0423
−3.371968
0.0022623
0.0392298
−1.707163049


204303_s_at
KIAA0427
3.2576722
0.0030223
0.0467675
−2.022231461


203955_at
KIAA0649
3.9632469
0.0004862
0.014642
−0.290520154


31826_at
KIAA0674
6.0122705
2.03E−006
0.0003402
4.995084148


212663_at
KIAA0674
5.1940716
1.80E−005
0.0015652
2.899158078


216913_s_at
KIAA0690
3.5995983
0.0012604
0.0268163
−1.205824646


212359_s_at
KIAA0913
3.4107008
0.0020494
0.0367442
−1.665599244


212453_at
KIAA1279
−4.073467
0.0003631
0.0121856
−0.013147389


216807_at
KIAA1751 /// hypothetical
4.1887744
0.0002672
0.0099065
0.281175585



protein LOC642155


218342_s_at
KIAA1815
−5.406299
1.02E−005
0.0010744
3.42641518


220368_s_at
KIAA2010
−3.306489
0.0026716
0.0431381
−1.884478291


220777_at
kinesin family member 13A
4.9438695
3.52E−005
0.0024299
2.235643257


202962_at
kinesin family member 13B
3.9782991
0.0004673
0.0142881
−0.269465165


216969_s_at
kinesin family member 22
−6.117807
1.54E−006
0.0002856
5.245713904


202183_s_at
kinesin family member 22
−3.331289
0.0025088
0.0416502
−1.855527456


201991_s_at
kinesin family member 5B
5.5427871
7.06E−006
0.0008112
3.775937376



/// immediate early response 2


202393_s_at
Kruppel-like factor 10
3.8673313
0.0006262
0.0170886
−0.502719574


214276_at
Kruppel-like factor 12
−4.038491
0.0003984
0.0129796
−0.117619646


203543_s_at
Kruppel-like factor 9
3.9412872
0.0005153
0.0151481
−0.343654649


219157_at
kelch-like 2, Mayven
10.76177
2.80E−011
8.91E−008
15.40078527



(Drosophila)


221838_at
kelch-like 22 (Drosophila)
−4.964486
3.33E−005
0.0023349
2.274980975


214470_at
killer cell lectin-like
−4.849044
4.55E−005
0.0029026
2.009527674



receptor subfamily B,



member 1 /// killer cell



lectin-like receptor



subfamily B, member 1


207796_x_at
killer cell lectin-like
−4.442037
0.0001357
0.0062883
0.93001647



receptor subfamily D,



member 1


210606_x_at
killer cell lectin-like
−4.035614
0.0004015
0.0130255
−0.071298817



receptor subfamily D,



member 1


207795_s_at
killer cell lectin-like
−3.515839
0.0015649
0.03095
−1.383222047



receptor subfamily D,



member 1


204162_at
kinetochore associated 2
−3.885946
0.0005963
0.0166033
−0.479730301


210633_x_at
keratin 10 (epidermolytic
−3.515467
0.0015664
0.03095
−1.381424467



hyperkeratosis; keratosis



palmaris et plantaris)


222060_at
keratin 8-like 2
3.9501502
0.0005034
0.0149754
−0.305114408


210644_s_at
leukocyte-associated
4.4466944
0.0001341
0.0062624
0.946285902



immunoglobulin-like



receptor 1


203041_s_at
lysosomal-associated
3.8916959
0.0005873
0.0164871
−0.463307898



membrane protein 2


211005_at
linker for activation of T
−3.834931
0.0006819
0.0180895
−0.596375078



cells


208118_x_at
SLC7A5 pseudogene ///
−3.466485
0.0017766
0.033635
−1.516995918



hypothetical protein



LOC440345 /// PI-3-kinase-



related kinase SMG-1



pseudogene /// PI-3-kinase-



related kinase SMG-1-like



locus ///hypothetical protein



LOC646866


221581_s_at
linker for activation of T
3.3516616
0.0023822
0.0404292
−1.78658776



cells family, member 2


207734_at
lymphocyte transmembrane
−4.227441
0.000241
0.0093063
0.398811534



adaptor 1


221011_s_at
hypothetical protein
−7.094931
1.24E−007
5.26E−005
7.670411186



DKFZp566J091


204891_s_at
lymphocyte-specific protein
−5.37594
1.10E−005
0.0011342
3.374561148



tyrosine kinase


204890_s_at
lymphocyte-specific protein
−4.891931
4.05E−005
0.0026469
2.113491247



tyrosine kinase


202594_at
leptin receptor overlapping
−3.81272
0.0007229
0.0187518
−0.648641381



transcript-like 1


207170_s_at
LETM1 domain containing 1
−3.237237
0.0031819
0.0480165
−2.054813033


212658_at
lipoma HMGIC fusion
7.5928187
3.57E−008
2.28E−005
8.837614782



partner-like 2


207857_at
leukocyte immunoglobulin-
4.2641953
0.0002185
0.0087153
0.476686967



like receptor, subfamily A



(with TM domain), member



2 /// leukocyte



immunoglobulin-like



receptor, subfamily A (with



TM domain), member 2


206881_s_at
leukocyte immunoglobulin-
3.8508562
0.000654
0.0175358
−0.570861562



like receptor, subfamily A



(without TM domain),



member 3


211135_x_at
leukocyte immunoglobulin-
3.6099763
0.0012269
0.0264402
−1.153537851



like receptor, subfamily B



(with TM and ITIM



domains), member 2 ///



leukocyte immunoglobulin-



like receptor, subfamily B



(with TM and ITIM



domains), member 3


211133_x_at
leukocyte immunoglobulin-
3.3585626
0.0023408
0.0398777
−1.768745



like receptor, subfamily B



(with TM and ITIM



domains), member 2 ///



leukocyte immunoglobulin-



like receptor, subfamily B



(with TM and ITIM



domains), member 3


210152_at
leukocyte immunoglobulin-
3.291733
0.0027732
0.0441712
−1.895798714



like receptor, subfamily B



(with TM and ITIM



domains), member 4


219541_at
Lck interacting
−4.665314
7.45E−005
0.004175
1.507473821



transmembrane adaptor 1


212687_at
LIM and senescent cell
3.9025399
0.0005708
0.0162223
−0.412073362



antigen-like domains 1


203713_s_at
lethal giant larvae homolog
−3.275582
0.0028887
0.0454273
−1.971005784



2 (Drosophila)


212017_at
hypothetical protein
−4.023938
0.0004141
0.0132384
−0.084581521



LOC130074


212934_at
hypothetical protein
4.3279966
0.0001842
0.0078194
0.650018717



LOC137886


217104_at
similar to cervical cancer
3.4384927
0.0019088
0.03521
−1.568551282



suppressor-1


211456_x_at
metallothionein 1H-like
−3.444164
0.0018813
0.0348465
−1.572923165



protein /// hypothetical



protein LOC650610


214947_at
hypothetical protein
3.7958411
0.0007556
0.0193307
−0.689329398



LOC651803


221834_at
Peroxisomal LON protease
3.6036769
0.0012471
0.0266949
−1.194179793



like


207584_at
lipoprotein, Lp(a)
3.7227952
0.0009148
0.0218473
−0.853280126


202651_at
lysophosphatidylglycerol
4.0542562
0.0003821
0.0126515
−0.056237967



acyltransferase 1


212272_at
lipin 1
−4.846367
4.58E−005
0.0029152
1.992243627


202460_s_at
lipin 2
−4.382191
0.0001594
0.0070314
0.794576049


203549_s_at
lipoprotein lipase
4.9978257
3.05E−005
0.0022039
2.426210782


203548_s_at
lipoprotein lipase
4.935084
3.61E−005
0.0024727
2.254926095


219759_at
leukocyte-derived arginine
−3.907514
0.0005633
0.0161552
−0.376598806



aminopeptidase


219346_at
leucine rich repeat and
−3.370134
0.0022729
0.0393506
−1.775139187



fibronectin type III domain



containing 3


211596_s_at
leucine-rich repeats and
−4.020256
0.0004182
0.013273
−0.147924475



immunoglobulin-like



domains 1


200785_s_at
low density lipoprotein-
3.3594924
0.0023353
0.0398444
−1.717967191



related protein 1 (alpha-2-



macroglobulin receptor)


219338_s_at
leucine rich repeat
3.3102032
0.0026466
0.0428616
−1.87074341



containing 49


221535_at
large subunit GTPase 1
−3.48778
0.0016821
0.032564
−1.44682498



homolog (S. cerevisiae)


208771_s_at
leukotriene A4 hydrolase
3.8851162
0.0005976
0.0166033
−0.490414402


207339_s_at
lymphotoxin beta (TNF
−3.214812
0.0033664
0.0500752
−2.089468885



superfamily, member 3)


210128_s_at
leukotriene B4 receptor
3.9453904
0.0005097
0.0150644
−0.332213009


216388_s_at
leukotriene B4 receptor
3.293685
0.0027596
0.0440481
−1.902401735


203005_at
lymphotoxin beta receptor
3.9369553
0.0005212
0.0152021
−0.346843793



(TNFR superfamily,



member 3)


218729_at
latexin
3.6428256
0.0011266
0.0251089
−1.077492558


202145_at
lymphocyte antigen 6
−7.366572
6.26E−008
3.49E−005
8.33334838



complex, locus E


215967_s_at
lymphocyte antigen 9
−3.220146
0.0033216
0.049641
−2.089990745


210754_s_at
v-yes-1 Yamaguchi sarcoma
3.8737514
0.0006157
0.0168966
−0.516338522



viral related oncogene



homolog


202625_at
v-yes-1 Yamaguchi sarcoma
3.5087733
0.0015936
0.0312318
−1.422809629



viral related oncogene



homolog


212449_s_at
lysophospholipase I
3.4035513
0.0020872
0.0372074
−1.671090013


204458_at
lysophospholipase 3
3.2600029
0.0030046
0.0465906
−1.993286231



(lysosomal phospholipase



A2)


203897_at
LYR motif containing 1
−3.449039
0.0018579
0.0344425
−1.543920308


209348_s_at
v-maf musculoaponeurotic
−4.371953
0.0001638
0.0071839
0.748060662



fibrosarcoma oncogene



homolog (avian)


206363_at
v-maf musculoaponeurotic
−3.273666
0.0029028
0.0455804
−1.926365201



fibrosarcoma oncogene



homolog (avian)


218559_s_at
v-maf musculoaponeurotic
6.0797981
1.70E−006
0.0003031
5.148454877



fibrosarcoma oncogene



homolog B (avian)


204970_s_at
v-maf musculoaponeurotic
3.670063
0.0010496
0.0239197
−1.023404582



fibrosarcoma oncogene



homolog G (avian)


218573_at
melanoma antigen family H, 1
−3.723412
0.0009133
0.0218473
−0.863646681


220302_at
male germ cell-associated
3.2415841
0.0031473
0.0477078
−2.047265164



kinase


219999_at
mannosidase, alpha, class
5.5456828
7.01E−006
0.0008091
3.779701447



2A, member 2


202032_s_at
mannosidase, alpha, class
3.5941545
0.0012783
0.0271014
−1.218652337



2A, member 2


202670_at
mitogen-activated protein
3.4119357
0.002043
0.0367257
−1.632702718



kinase kinase 1


203266_s_at
mitogen-activated protein
3.467906
0.0017701
0.0335696
−1.500104338



kinase kinase 4


205698_s_at
mitogen-activated protein
4.1438069
0.0003012
0.0107899
0.181883139



kinase kinase 6


219278_at
mitogen-activated protein
3.7627633
0.000824
0.0204012
−0.705356626



kinase kinase kinase 6


205027_s_at
mitogen-activated protein
5.1191426
2.20E−005
0.0017933
2.678768498



kinase kinase kinase 8


206296_x_at
mitogen-activated protein
−3.29514
0.0027494
0.0439378
−1.922675559



kinase kinase kinase kinase 1


206571_s_at
mitogen-activated protein
3.4171547
0.0020159
0.0364023
−1.66044563



kinase kinase kinase kinase 4


213489_at
Microtubule-associated
−5.110564
2.25E−005
0.0018163
2.689399727



protein, RP/EB family,



member 2


200644_at
MARCKS-like 1
−7.088418
1.26E−007
5.26E−005
7.662378032


205819_at
macrophage receptor with
4.1624083
0.0002866
0.0104535
0.216873832



collagenous structure


217993_s_at
methionine
−4.054679
0.0003817
0.0126515
−0.067611343



adenosyltransferase II, beta


206267_s_at
megakaryocyte-associated
−4.435209
0.0001382
0.006378
0.942182356



tyrosine kinase


210734_x_at
MYC associated factor X
−5.62543
5.67E−006
0.0007052
3.995366075


208403_x_at
MYC associated factor X
−3.284359
0.0028254
0.0448357
−1.955189154


212064_x_at
MYC-associated zinc finger
−4.442678
0.0001355
0.0062883
0.936194067



protein (purine-binding



transcription factor)


209623_at
methylcrotonoyl-Coenzyme
−4.18912
0.0002669
0.0099065
0.294657014



A carboxylase 2 (beta)


202107_s_at
MCM2 minichromosome
−3.369469
0.0022767
0.0393577
−1.714141317



maintenance deficient 2,



mitotin (S. cerevisiae)


201555_at
MCM3 minichromosome
−3.99162
0.0004511
0.0139028
−0.204548199



maintenance deficient 3 (S. cerevisiae)


222036_s_at
MCM4 minichromosome
−3.425985
0.0019709
0.0358275
−1.600878116



maintenance deficient 4 (S. cerevisiae)


201930_at
MCM6 minichromosome
−4.193058
0.0002642
0.0098805
0.327924669



maintenance deficient 6



(MIS5 homolog, S. pombe)



(S. cerevisiae)


217599_s_at
MyoD family inhibitor
−3.521095
0.0015438
0.0307978
−1.387591108



domain containing


210153_s_at
malic enzyme 2, NAD(+)-
3.2974068
0.0027337
0.043806
−1.895461101



dependent, mitochondrial ///



protein kinase, cAMP-



dependent, regulatory, type



II, beta


202618_s_at
methyl CpG binding protein
−4.133561
0.0003095
0.0109647
0.154499067



2 (Rett syndrome)


207079_s_at
mediator of RNA
−3.462096
0.0017967
0.0338007
−1.527608198



polymerase II transcription,



subunit 6 homolog (S. cerevisiae)


212535_at
MADS box transcription
3.7335966
0.0008893
0.0214696
−0.867987027



enhancer factor 2,



polypeptide A (myocyte



enhancer factor 2A)


207968_s_at
MADS box transcription
−3.72812
0.0009021
0.0217318
−0.849084828



enhancer factor 2,



polypeptide C (myocyte



enhancer factor 2C)


212830_at
multiple EGF-like-domains 9
3.7165622
0.0009298
0.0220336
−0.90938831


212831_at
multiple EGF-like-domains 9
3.4621648
0.0017964
0.0338007
−1.525691707


206028_s_at
c-mer proto-oncogene
10.469242
5.13E−011
1.43E−007
14.90589976



tyrosine kinase


211913_s_at
c-mer proto-oncogene
4.2805887
0.0002091
0.0084515
0.518779243



tyrosine kinase


209703_x_at
methyltransferase like 7A
4.2496147
0.0002272
0.0089432
0.432557453


217868_s_at
methyltransferase like 9
3.8045735
0.0007385
0.0190021
−0.674756638


218109_s_at
major facilitator superfamily
4.7468747
5.98E−005
0.0035952
1.728829723



domain containing 1


212945_s_at
MAX gene associated
−3.273408
0.0029046
0.0455804
−1.971319233


206522_at
maltase-glucoamylase
8.9425055
1.45E−009
2.06E−006
11.67816349



(alpha-glucosidase) ///



similar to Maltase-



glucoamylase, intestinal


214696_at
hypothetical protein
7.7417859
2.48E−008
1.84E−005
9.178335493



MGC14376


219812_at
hypothetical protein
−3.411796
0.0020437
0.0367257
−1.58299562



LOC79037


220934_s_at
hypothetical protein
−3.742728
0.0008683
0.0211928
−0.840145541



MGC3196


204880_at
O-6-methylguanine-DNA
−4.229354
0.0002398
0.0093056
0.379865831



methyltransferase


204168_at
microsomal glutathione S-
4.1564443
0.0002912
0.0105514
0.192247085



transferase 2


217871_s_at
macrophage migration
−4.21758
0.0002474
0.0094014
0.378863451



inhibitory factor



(glycosylation-inhibiting



factor)


209585_s_at
multiple inositol
−3.458014
0.0018157
0.03398
−1.507957353



polyphosphate histidine



phosphatase, 1


207233_s_at
microphthalmia-associated
3.2396083
0.003163
0.0478336
−2.071786492



transcription factor


209467_s_at
MAP kinase interacting
4.2920628
0.0002028
0.0082921
0.525267109



serine/threonine kinase 1


204918_s_at
myeloid/lymphoid or
−4.306252
0.0001953
0.0081193
0.583823593



mixed-lineage leukemia



(trithorax homolog,




Drosophila); translocated to, 3



220615_s_at
male sterility domain
4.1308743
0.0003117
0.0110259
0.153954894



containing 1


202519_at
MLX interacting protein
4.1584797
0.0002896
0.0105289
0.204917195


207329_at
matrix metallopeptidase 8
3.561556
0.0013908
0.0285361
−1.226425789



(neutrophil collagenase)


203936_s_at
matrix metallopeptidase 9
6.2084895
1.21E−006
0.0002412
5.494417575



(gelatinase B, 92 kDa



gelatinase, 92 kDa type IV



collagenase)


204959_at
myeloid cell nuclear
3.3907661
0.0021564
0.0378505
−1.701977779



differentiation antigen


218212_s_at
molybdenum cofactor
−3.49272
0.0016608
0.0322933
−1.448873612



synthesis 2


218865_at
MOCO sulphurase C-
5.5875919
6.27E−006
0.0007548
3.914199721



terminal domain containing 1


221636_s_at
MOCO sulphurase C-
4.2271534
0.0002412
0.0093063
0.423787778



terminal domain containing 2


204438_at
mannose receptor, C type 1
5.069328
2.51E−005
0.0019651
2.582052934



/// mannose receptor, C type



1-like 1


212199_at
Morf4 family associated
−4.198185
0.0002606
0.009808
0.330645263



protein 1-like 1


219162_s_at
mitochondrial ribosomal
−3.342168
0.0024404
0.0410104
−1.823298715



protein L11


218558_s_at
mitochondrial ribosomal
−4.226846
0.0002414
0.0093063
0.379071532



protein L39


218202_x_at
mitochondrial ribosomal
−3.577656
0.001334
0.0279122
−1.246037437



protein L44


201717_at
mitochondrial ribosomal
−5.351497
1.18E−005
0.0011826
3.283723955



protein L49


211594_s_at
mitochondrial ribosomal
−4.620417
8.41E−005
0.0045156
1.40079184



protein L9


212145_at
mitochondrial ribosomal
−3.511203
0.0015837
0.0311191
−1.387148207



protein S27


219607_s_at
membrane-spanning 4-
4.0363846
0.0004007
0.0130255
−0.075575416



domains, subfamily A,



member 4


211450_s_at
mutS homolog 6 (E. coli)
−5.81249
3.44E−006
0.0004828
4.484041843


218733_at
male-specific lethal 2-like 1
−3.223815
0.0032911
0.0492896
−2.105139445



(Drosophila)


219451_at
methionine sulfoxide
3.3937545
0.0021401
0.0376972
−1.660918433



reductase B2


204745_x_at
metallothionein 1G
−3.474791
0.0017391
0.0332359
−1.487573113


216862_s_at
mature T-cell proliferation 1
−4.321874
0.0001873
0.0078884
0.716317639


210212_x_at
mature T-cell proliferation 1
−3.518457
0.0015544
0.0308899
−1.382137492


204871_at
mitochondrial transcription
−3.350474
0.0023894
0.0404668
−1.800061689



termination factor


205323_s_at
metal-regulatory
4.4764912
0.0001238
0.0059433
1.050900118



transcription factor 1


214975_s_at
myotubularin related protein 1
−3.393994
0.0021388
0.0376972
−1.707666741


213511_s_at
myotubularin related protein 1
−3.292331
0.002769
0.0441676
−1.875326364


202197_at
myotubularin related protein 3
4.8644697
4.36E−005
0.002825
2.056382365


221369_at
melatonin receptor 1A
3.6496035
0.001107
0.0249298
−1.022866151


210360_s_at
metastasis suppressor 1
−4.015339
0.0004236
0.0133407
−0.110107379


212096_s_at
mitochondrial tumor
−3.461608
0.001799
0.0338007
−1.52793833



suppressor 1


210386_s_at
metaxin 1
5.0677388
2.52E−005
0.0019666
2.571078366


207847_s_at
mucin 1, cell surface
3.4839684
0.0016986
0.0327991
−1.476671718



associated


222132_s_at
multiple substrate lipid
−3.620916
0.0011926
0.0259769
−1.140012259



kinase


206877_at
MAX dimerization protein 1
4.2258856
0.000242
0.009314
0.404395855


212347_x_at
MAX dimerization protein 4
−3.326427
0.0025399
0.0419858
−1.84580392


209124_at
myeloid differentiation
3.6264536
0.0011756
0.025808
−1.141630363



primary response gene (88)


205145_s_at
myosin, light polypeptide 5,
−4.151689
0.0002949
0.0106
0.193777662



regulatory /// similar to



Superfast myosin regulatory



light chain 2 (MyLC-2)



(MYLC2) (Myosin



regulatory light chain 5)


204173_at
myosin, light polypeptide
3.6540033
0.0010944
0.024757
−1.07190672



6B, alkali, smooth muscle



and non-muscle


59375_at
myosin XVB pseudogene
3.3466222
0.002413
0.0407024
−1.805912094


211916_s_at
myosin IA
4.311803
0.0001924
0.008043
0.60317388


217409_at
myosin VA (heavy
3.754011
0.0008431
0.0207356
−0.832633693



polypeptide 12, myoxin)


208189_s_at
myosin VIIA
7.0276054
1.47E−007
5.64E−005
7.51220835


33197_at
myosin VIIA
5.8568816
3.06E−006
0.0004411
4.595628412


201414_s_at
nucleosome assembly
−3.890535
0.0005891
0.0165114
−0.470574993



protein 1-like 4


219217_at
asparaginyl-tRNA
−3.606698
0.0012374
0.0265376
−1.156024517



synthetase 2



(mitochondrial)(putative)


201521_s_at
nuclear cap binding protein
−4.189647
0.0002666
0.0099065
0.332784282



subunit 2, 20 kDa


204961_s_at
neutrophil cytosolic factor
3.4233479
0.0019842
0.0359761
−1.609928411



1, (chronic granulomatous



disease, autosomal 1) ///



similar to Neutrophil



cytosol factor 1 (NCF-1)



(Neutrophil NADPH



oxidase factor 1) (47 kDa



neutrophil oxidase factor)



(p47-phox) (NCF-47K) (47 kDa



autosomal chronic



granulomatous disease



protein) (NOXO2)


209949_at
neutrophil cytosolic factor 2
3.5476728
0.0014415
0.0293618
−1.321237334



(65 kDa, chronic



granulomatous disease,



autosomal 2)


207677_s_at
neutrophil cytosolic factor
5.396957
1.04E−005
0.0010913
3.421733075



4, 40 kDa


205147_x_at
neutrophil cytosolic factor
4.8684863
4.31E−005
0.0028028
2.065511742



4, 40 kDa


207760_s_at
nuclear receptor co-
4.1534278
0.0002936
0.0105852
0.176678889



repressor 2


211010_s_at
natural cytotoxicity
−4.021124
0.0004172
0.0132622
−0.117397823



triggering receptor 3


211583_x_at
natural cytotoxicity
−3.86853
0.0006243
0.0170677
−0.525152135



triggering receptor 3


214279_s_at
NDRG family member 2
−3.852181
0.0006517
0.0174958
−0.574329039


204125_at
NADH dehydrogenase
3.3838511
0.0021948
0.0383883
−1.688829265



(ubiquinone) 1 alpha



subcomplex, assembly



factor 1


218200_s_at
NADH dehydrogenase
−5.766288
3.89E−006
0.0005291
4.356053461



(ubiquinone) 1 beta



subcomplex, 2, 8 kDa


203371_s_at
NADH dehydrogenase
4.1256494
0.0003161
0.0110921
0.144979142



(ubiquinone) 1 beta



subcomplex, 3, 12 kDa


221979_at
NADH dehydrogenase
−4.258472
0.0002219
0.0087963
0.461301854



(ubiquinone) 1 beta



subcomplex, 6, 17 kDa


78383_at
NADH dehydrogenase
−3.945712
0.0005093
0.0150644
−0.3312007



(ubiquinone) 1 beta



subcomplex, 6, 17 kDa


208714_at
NADH dehydrogenase
−3.820058
0.0007091
0.0185259
−0.617626644



(ubiquinone) flavoprotein 1,



51 kDa


202150_s_at
neural precursor cell
−3.715459
0.0009324
0.0220336
−0.874944296



expressed, developmentally



down-regulated 9


211089_s_at
NIMA (never in mitosis
3.2520573
0.0030653
0.0471394
−2.025842322



gene a)-related kinase 3


218888_s_at
neuropilin (NRP) and
4.8975403
3.99E−005
0.0026226
2.137562138



tolloid (TLL)-like 2


211914_x_at
neurofibromin 1
3.5319242
0.0015013
0.030237
−1.377257545



(neurofibromatosis, von



Recklinghausen disease,



Watson disease)


203574_at
nuclear factor, interleukin 3
5.5729076
6.52E−006
0.0007603
3.874026645



regulated


201502_s_at
nuclear factor of kappa light
4.560604
9.87E−005
0.0051366
1.277276334



polypeptide gene enhancer



in B-cells inhibitor, alpha


214448_x_at
nuclear factor of kappa light
−4.136872
0.0003068
0.0109381
0.162388308



polypeptide gene enhancer



in B-cells inhibitor, beta


217722_s_at
neugrin, neurite outgrowth
−7.00942
1.54E−007
5.80E−005
7.472039365



associated


201077_s_at
NHP2 non-histone
−3.866422
0.0006277
0.0170997
−0.543843713



chromosome protein 2-like



1 (S. cerevisiae)


202008_s_at
nidogen 1
−3.363949
0.0023089
0.0395937
−1.728370168


218133_s_at
NIF3 NGG1 interacting
−3.774581
0.0007989
0.0199959
−0.731791057



factor 3-like 1 (S. pombe)


201709_s_at
nipsnap homolog 1 (C. elegans)
−4.85116
4.52E−005
0.0028944
1.989139057


201591_s_at
nischarin
4.8616161
4.39E−005
0.0028385
2.005805898


213915_at
natural killer cell group 7
−3.323884
0.0025564
0.0421014
−1.867713513



sequence


218240_at
NFKB inhibitor interacting
5.2140562
1.70E−005
0.0015095
2.976553329



Ras-like 2


219553_at
non-metastatic cells 7,
−3.718363
0.0009254
0.0219904
−0.899743492



protein expressed in



(nucleoside-diphosphate



kinase)


209755_at
nicotinamide nucleotide
4.3326215
0.000182
0.0077777
0.68125485



adenylyltransferase 2


205006_s_at
N-myristoyltransferase 2
−3.344732
0.0024246
0.0408057
−1.753305782


218889_at
nucleolar complex
−4.672328
7.31E−005
0.0041477
1.547524296



associated 3 homolog (S. cerevisiae)


221970_s_at
nucleolar protein 11
−3.451823
0.0018447
0.0343232
−1.544529435


209104_s_at
nucleolar protein family A,
−4.925385
3.70E−005
0.0025118
2.199056718



member 2 (H/ACA small



nucleolar RNPs)


208698_s_at
non-POU domain
−4.90777
3.88E−005
0.0025742
2.167167105



containing, octamer-binding


200057_s_at
non-POU domain
−4.031064
0.0004063
0.0131036
−0.109405441



containing, octamer-binding


202445_s_at
Notch homolog 2
3.6889002
0.0009993
0.0231716
−0.925029403



(Drosophila)


222115_x_at
cytokine-like nuclear factor
−3.388015
0.0021716
0.0380426
−1.713514417



n-pac


209798_at
nuclear protein, ataxia-
−3.906012
0.0005656
0.0161776
−0.40553123



telangiectasia locus


221210_s_at
N-acetylneuraminate
4.3512407
0.0001731
0.0074472
0.708106598



pyruvate lyase



(dihydrodipicolinate



synthase)


202228_s_at
neuroplastin
4.2662134
0.0002173
0.0086937
0.487632067


208709_s_at
nardilysin (N-arginine
5.0031235
3.00E−005
0.0021941
2.370985765



dibasic convertase)


206237_s_at
neuregulin 1
4.1426696
0.0003021
0.0108052
0.157843047


206343_s_at
neuregulin 1
3.9722595
0.0004748
0.0144534
−0.247145403


208241_at
neuregulin 1
3.6187831
0.0011992
0.02607
−1.147964641


202600_s_at
nuclear receptor interacting
4.6313092
8.17E−005
0.0044164
1.419488852



protein 1


219084_at
nuclear receptor binding
3.4886005
0.0016785
0.0325236
−1.44314523



SET domain protein 1


220248_x_at
NSFL1 (p97) cofactor (p47)
4.3219254
0.0001872
0.0078884
0.647161773


209073_s_at
numb homolog (Drosophila)
3.6427597
0.0011268
0.0251089
−1.068225006


207545_s_at
numb homolog (Drosophila)
3.2710925
0.0029217
0.0456867
−1.957907921


208922_s_at
nuclear RNA export factor 1
3.9927127
0.0004498
0.0139011
−0.232780172


218708_at
NTF2-like export factor 1
−3.420185
0.0020003
0.0362094
−1.584241125


206553_at
2′-5′-oligoadenylate
−4.072051
0.0003645
0.0122131
0.008158459



synthetase 2, 69/71 kDa


204972_at
2′-5′-oligoadenylate
−3.905269
0.0005667
0.0161886
−0.421009914



synthetase 2, 69/71 kDa


200077_s_at
ornithine decarboxylase
3.6431266
0.0011257
0.0251089
−1.049914038



antizyme 1


219100_at
oligonucleotide/oligosaccharide-
−3.644466
0.0011218
0.0251089
−1.068739421



binding fold containing 1


203446_s_at
oculocerebrorenal syndrome
3.5190253
0.0015521
0.0308796
−1.387721046



of Lowe


221090_s_at
2-oxoglutarate and iron-
−3.315776
0.0026094
0.0425668
−1.884264315



dependent oxygenase



domain containing 1


202074_s_at
optineurin
−4.093744
0.0003441
0.0117213
0.05084135


210028_s_at
origin recognition complex,
−3.279258
0.002862
0.0451018
−1.942601343



subunit 3-like (yeast)


204957_at
origin recognition complex,
−3.623062
0.001186
0.0259085
−1.135141206



subunit 5-like (yeast)


209221_s_at
oxysterol binding protein-
3.2409524
0.0031523
0.0477512
−2.058574469



like 2


206048_at
ovo-like 2 (Drosophila)
−3.27126
0.0029204
0.0456867
−1.991947718


219133_at
3-oxoacyl-ACP synthase,
−3.937976
0.0005198
0.015181
−0.34235903



mitochondrial


214615_at
purinergic receptor P2Y, G-
−3.637881
0.0011412
0.0253027
−1.074735632



protein coupled, 10


218589_at
purinergic receptor P2Y, G-
−3.531712
0.0015021
0.030237
−1.323330122



protein coupled, 5


220001_at
peptidyl arginine deiminase,
8.3835748
5.30E−009
5.14E−006
10.63185834



type IV


211413_s_at
peptidyl arginine deiminase,
3.7336438
0.0008892
0.0214696
−0.829771785



type IV


205232_s_at
platelet-activating factor
−3.985046
0.000459
0.0140883
−0.226566338



acetylhydrolase 2, 40 kDa


205233_s_at
platelet-activating factor
−3.93962
0.0005176
0.0151633
−0.325599823



acetylhydrolase 2, 40 kDa


208878_s_at
p21 (CDKN1A)-activated
3.4046896
0.0020811
0.0371588
−1.657169927



kinase 2


208644_at
poly (ADP-ribose)
−3.262899
0.0029827
0.0464454
−1.998088098



polymerase family, member 1


217738_at
pre-B-cell colony enhancing
3.9390953
0.0005183
0.0151633
−0.339832259



factor 1 /// pre-B cell



enhancing factor 1



pseudogene


217739_s_at
pre-B-cell colony enhancing
3.5616484
0.0013904
0.0285361
−1.306068914



factor 1 /// pre-B cell



enhancing factor 1



pseudogene


212259_s_at
pre-B-cell leukemia
−5.160862
1.97E−005
0.0016545
2.782298376



transcription factor



interacting protein 1


207838_x_at
pre-B-cell leukemia
−4.510906
0.0001128
0.0055737
1.100787503



transcription factor



interacting protein 1


214177_s_at
pre-B-cell leukemia
−3.63023
0.0011641
0.0256319
−1.108425914



transcription factor



interacting protein 1


210368_at
protocadherin gamma
3.2606543
0.0029996
0.0465465
−1.992435948



subfamily B, 4 ///



protocadherin gamma



subfamily A, 8


219940_s_at
PCI domain containing 2
−4.172697
0.0002789
0.0102379
0.277504474


205559_s_at
proprotein convertase
4.0311068
0.0004063
0.0131036
−0.107025633



subtilisin/kexin type 5


213652_at
Proprotein convertase
3.836898
0.0006784
0.0180177
−0.612209043



subtilisin/kexin type 5


203118_at
proprotein convertase
−3.543875
0.0014557
0.0295315
−1.330080983



subtilisin/kexin type 7


221918_at
PCTAIRE protein kinase 2
−4.174838
0.0002773
0.0101965
0.24359603


202730_s_at
programmed cell death 4
−7.258288
8.20E−008
4.06E−005
8.071670715



(neoplastic transformation



inhibitor)


202731_at
programmed cell death 4
−4.994268
3.08E−005
0.0022108
2.384742204



(neoplastic transformation



inhibitor)


214582_at
phosphodiesterase 3B,
−3.275578
0.0028888
0.0454273
−1.989595866



cGMP-inhibited


203857_s_at
protein disulfide isomerase
3.55392
0.0014185
0.0289756
−1.313968785



family A, member 5


208638_at
protein disulfide isomerase
3.7052882
0.0009575
0.0224641
−0.950502419



family A, member 6


214121_x_at
PDZ and LIM domain 7
4.2574858
0.0002224
0.0088039
0.551999517



(enigma)


220865_s_at
prenyl (decaprenyl)
3.5726871
0.0013513
0.0280881
−1.181562766



diphosphate synthase,



subunit 1


200788_s_at
phosphoprotein enriched in
−4.450165
0.0001328
0.0062436
0.966904371



astrocytes 15


200787_s_at
phosphoprotein enriched in
−3.64938
0.0011076
0.0249298
−1.08974448



astrocytes 15


211941_s_at
phosphatidylethanolamine
−5.971017
2.26E−006
0.0003578
4.894349825



binding protein 1


210825_s_at
phosphatidylethanolamine
−3.844699
0.0006646
0.0177366
−0.549903787



binding protein 1


205353_s_at
phosphatidylethanolamine
−3.214489
0.0033691
0.050078
−2.08853874



binding protein 1


218025_s_at
peroxisomal D3,D2-enoyl-
−6.668995
3.67E−007
0.0001061
6.635968187



CoA isomerase


218319_at
pellino homolog 1
3.8557177
0.0006457
0.0173757
−0.579288125



(Drosophila)


207621_s_at
phosphatidylethanolamine
−3.996436
0.0004454
0.0138256
−0.199619713



N-methyltransferase


202861_at
period homolog 1
7.2015321
9.46E−008
4.30E−005
7.937670727



(Drosophila)


36829_at
period homolog 1
5.4780521
8.40E−006
0.0009262
3.613619011



(Drosophila)


221045_s_at
period homolog 3
−3.468049
0.0017695
0.0335696
−1.521241413



(Drosophila)


221811_at
per1-like domain containing 1
−5.576296
6.46E−006
0.0007574
3.872348612


206351_s_at
peroxisome biogenesis
−3.96326
0.0004862
0.014642
−0.289905451



factor 10


205094_at
peroxisomal biogenesis
−3.563408
0.0013841
0.0285048
−1.283829302



factor 12


211033_s_at
peroxisomal biogenesis
−3.396508
0.0021251
0.0376416
−1.675415885



factor 7


210908_s_at
prefoldin subunit 5
−3.476125
0.0017332
0.0332077
−1.501781671


202464_s_at
6-phosphofructo-2-
5.6547545
5.24E−006
0.000671
4.060361204



kinase/fructose-2,6-



biphosphatase 3


200886_s_at
phosphoglycerate mutase 1
3.3944535
0.0021362
0.0376896
−1.593541122



(brain) /// similar to



Phosphoglycerate mutase 1



(Phosphoglycerate mutase



isozyme B) (PGAM-B)



(BPG-dependent PGAM 1)


201118_at
phosphogluconate
3.2874178
0.0028036
0.0445602
−1.918214819



dehydrogenase /// UDP-



glucose dehydrogenase


200738_s_at
phosphoglycerate kinase 1
4.4653902
0.0001275
0.0060731
1.022934428


207384_at
peptidoglycan recognition
3.2428282
0.0031374
0.0476847
−1.983993924



protein 1


201121_s_at
progesterone receptor
3.6747982
0.0010367
0.0237807
−1.005694649



membrane component 1


219394_at
phosphatidylglycerophosphate
3.8990457
0.000576
0.0163307
−0.441818616



synthase 1


201600_at
prohibitin 2
−3.714089
0.0009358
0.0220657
−0.923348887


200919_at
polyhomeotic-like 2
13.491127
1.57E−013
7.00E−010
19.73316172



(Drosophila)


203278_s_at
PHD finger protein 21A
3.8745484
0.0006144
0.0168823
−0.517347194


202738_s_at
phosphorylase kinase, beta
4.1961442
0.000262
0.0098448
0.298023798


221689_s_at
phosphatidylinositol glycan
−3.631985
0.0011588
0.0255407
−1.114212971



anchor biosynthesis, class P


217620_s_at
phosphoinositide-3-kinase,
3.3682068
0.002284
0.0394532
−1.719683015



catalytic, beta polypeptide


202743_at
phosphoinositide-3-kinase,
−3.596907
0.0012692
0.0269344
−1.208781096



regulatory subunit 3 (P55,



gamma)


204269_at
pim-2 oncogene
−4.339921
0.0001784
0.0076467
0.659167825


204572_s_at
protein (peptidylprolyl
−4.139537
0.0003046
0.0108782
0.168394561



cis/trans isomerase) NIMA-



interacting, 4 (parvulin)


219155_at
phosphatidylinositol transfer
−4.716141
6.50E−005
0.0038217
1.661137309



protein, cytoplasmic 1


218667_at
praja 1
−3.231765
0.003226
0.0485378
−2.000004816


204612_at
protein kinase (cAMP-
−3.261628
0.0029923
0.0464971
−1.962525619



dependent, catalytic)



inhibitor alpha


216551_x_at
phospholipase C, gamma 1
−3.700005
0.0009708
0.0226994
−0.939677238



/// copine family member IX


205203_at
phospholipase D1,
5.1795509
1.87E−005
0.001614
2.869156194



phosphatidylcholine-



specific


219566_at
pleckstrin homology domain
−3.673771
0.0010395
0.0238058
−1.017174025



containing, family F (with



FYVE domain) member 1


218290_at
pleckstrin homology domain
−3.407099
0.0020684
0.0369951
−1.660021054



containing, family J member 1


204958_at
polo-like kinase 3
3.7036125
0.0009617
0.0225341
−0.913048166



(Drosophila)


215462_at
polo-like kinase 3
3.2790999
0.0028632
0.0451018
−1.938826238



(Drosophila)


213241_at
plexin C1
4.6667879
7.42E−005
0.004175
1.514941223


204285_s_at
phorbol-12-myristate-13-
−3.426374
0.0019689
0.0358275
−1.57611863



acetate-induced protein 1


206503_x_at
promyelocytic leukemia
−3.34519
0.0024218
0.0407891
−1.827801726


209034_at
proline-rich nuclear receptor
−3.340408
0.0024514
0.0411013
−1.844255008



coactivator 1


203616_at
polymerase (DNA directed),
−5.42464
9.69E−006
0.0010296
3.489870959



beta


201115_at
polymerase (DNA directed),
−5.389803
1.06E−005
0.0011072
3.389374537



delta 2, regulatory subunit



50 kDa


207515_s_at
polymerase (RNA) I
−5.342959
1.21E−005
0.0011938
3.285994086



polypeptide C, 30 kDa


217420_s_at
polymerase (RNA) II (DNA
4.7756456
5.54E−005
0.0033813
1.794438442



directed) polypeptide A,



220 kDa


203664_s_at
polymerase (RNA) II (DNA
−3.370551
0.0022705
0.039341
−1.760088633



directed) polypeptide D


208361_s_at
polymerase (RNA) III
−3.787137
0.000773
0.0196639
−0.710242225



(DNA directed) polypeptide



D, 44 kDa


218866_s_at
polymerase (RNA) III
−4.424747
0.0001422
0.0064859
0.880228392



(DNA directed) polypeptide



K, 12.3 kDa


203497_at
PPAR binding protein
3.2511795
0.0030721
0.0472112
−2.024300496


209434_s_at
phosphoribosyl
−4.281335
0.0002087
0.0084515
0.526113759



pyrophosphate



amidotransferase


202065_s_at
protein tyrosine
3.6435674
0.0011245
0.0251089
−1.100773385



phosphatase, receptor type, f



polypeptide (PTPRF),



interacting protein (liprin),



alpha 1


202066_at
protein tyrosine
3.2553223
0.0030402
0.0469801
−2.043962733



phosphatase, receptor type, f



polypeptide (PTPRF),



interacting protein (liprin),



alpha 1


200661_at
protective protein for beta-
5.1153421
2.22E−005
0.0017996
2.684553909



galactosidase



(galactosialidosis)


201293_x_at
peptidylprolyl isomerase A
−3.36665
0.0022931
0.0395241
−1.75999496



(cyclophilin A)


211378_x_at
peptidylprolyl isomerase A
−3.350221
0.002391
0.0404668
−1.803678035



(cyclophilin A)


211978_x_at
peptidylprolyl isomerase A
−3.299201
0.0027213
0.043688
−1.915402447



(cyclophilin A)


210502_s_at
peptidylprolyl isomerase E
−3.669575
0.0010509
0.0239197
−1.008073851



(cyclophilin E)


207758_at
Protein phosphatase 1F
3.3114187
0.0026384
0.04282
−1.912439683



(PP2C domain containing)


202014_at
protein phosphatase 1,
3.2288821
0.0032494
0.048825
−2.055247461



regulatory (inhibitor)



subunit 15A


212750_at
protein phosphatase 1,
−4.909646
3.86E−005
0.0025689
2.20013485



regulatory (inhibitor)



subunit 16B


41577_at
protein phosphatase 1,
−3.518204
0.0015554
0.0308899
−1.336958672



regulatory (inhibitor)



subunit 16B


213849_s_at
protein phosphatase 2
−3.284133
0.002827
0.0448357
−1.958462839



(formerly 2A), regulatory



subunit B (PR 52), beta



isoform


213305_s_at
protein phosphatase 2,
−3.965976
0.0004828
0.0146157
−0.270658033



regulatory subunit B (B56),



gamma isoform


214083_at
Protein phosphatase 2,
−3.889946
0.00059
0.0165114
−0.455729463



regulatory subunit B (B56),



gamma isoform


201594_s_at
protein phosphatase 4,
4.0043528
0.0004361
0.0136305
−0.181189613



regulatory subunit 1


214617_at
perforin 1 (pore forming
−4.74251
6.06E−005
0.0036173
1.707928613



protein)


201859_at
proteoglycan 1, secretory
3.7261571
0.0009068
0.0217964
−0.901209187



granule


201858_s_at
proteoglycan 1, secretory
3.7248602
0.0009098
0.0217998
−0.881645013



granule


200603_at
protein kinase, cAMP-
3.8331052
0.0006852
0.0181313
−0.609864972



dependent, regulatory, type



I, alpha (tissue specific



extinguisher 1)


206099_at
protein kinase C, eta
−3.903842
0.0005688
0.0162109
−0.4380415


218764_at
protein kinase C, eta
−3.778505
0.0007907
0.0199363
−0.707292885


210039_s_at
protein kinase C, theta
−6.853394
2.28E−007
7.17E−005
7.089585199


210038_at
protein kinase C, theta
−5.530647
7.30E−006
0.0008252
3.79220792


202178_at
protein kinase C, zeta
−3.968501
0.0004795
0.014558
−0.275167269


206445_s_at
protein arginine
−3.942933
0.0005131
0.0151224
−0.315594704



methyltransferase 1


203103_s_at
PRP19/PSO4 pre-mRNA
−3.738231
0.0008786
0.021299
−0.85927654



processing factor 19



homolog (S. cerevisiae)


208447_s_at
phosphoribosyl
−3.493771
0.0016563
0.0322342
−1.436267267



pyrophosphate synthetase 1


219168_s_at
proline rich 5 (renal)
−4.699217
6.80E−005
0.0039477
1.59932363


47069_at
proline rich 5 (renal)
−4.455505
0.0001309
0.0061941
0.973083191


202879_s_at
pleckstrin homology, Sec7
−3.470596
0.001758
0.0334519
−1.529031395



and coiled-coil domains



1(cytohesin 1)


202880_s_at
pleckstrin homology, Sec7
−3.232715
0.0032183
0.0484547
−2.038966644



and coiled-coil domains



1(cytohesin 1)


209158_s_at
pleckstrin homology, Sec7
−3.742987
0.0008677
0.0211928
−0.826655529



and coiled-coil domains 2



(cytohesin-2)


210758_at
PC4 and SFRS1 interacting
−3.649747
0.0011065
0.0249298
−1.065694547



protein 1


202659_at
proteasome (prosome,
−3.382304
0.0022035
0.0384797
−1.699580216



macropain) subunit, beta



type, 10


204279_at
proteasome (prosome,
−4.917067
3.79E−005
0.0025408
2.161402811



macropain) subunit, beta



type, 9 (large



multifunctional peptidase 2)


201252_at
proteasome (prosome,
−3.318592
0.0025909
0.0424462
−1.858034479



macropain) 26S subunit,



ATPase, 4 /// similar to 26S



protease regulatory subunit



6B (MIP224) (MB67-



interacting protein) (TAT-



binding protein 7) (TBP-7)


201198_s_at
proteasome (prosome,
4.5144731
0.0001118
0.0055344
1.108528079



macropain) 26S subunit,



non-ATPase, 1


200814_at
proteasome (prosome,
−6.067133
1.76E−006
0.0003031
5.126788139



macropain) activator subunit



1 (PA28 alpha)


212723_at
phosphatidylserine receptor
4.2005609
0.0002589
0.0097791
0.303780047


211711_s_at
phosphatase and tensin
3.242948
0.0031365
0.0476847
−2.066234845



homolog (mutated in



multiple advanced cancers



1)


206574_s_at
protein tyrosine phosphatase
−3.352979
0.0023743
0.0403305
−1.798717241



type IVA, member 3


217777_s_at
protein tyrosine
−5.042402
2.70E−005
0.002062
2.492290453



phosphatase-like A domain



containing 1


202006_at
protein tyrosine
3.6813214
0.0010193
0.0234633
−1.006965581



phosphatase, non-receptor



type 12


213136_at
protein tyrosine
3.6442504
0.0011225
0.0251089
−1.091320927



phosphatase, non-receptor



type 2


213137_s_at
protein tyrosine
3.5486358
0.001438
0.0293157
−1.337650355



phosphatase, non-receptor



type 2


205171_at
protein tyrosine
−3.274455
0.002897
0.0455242
−1.936046497



phosphatase, non-receptor



type 4 (megakaryocyte)


204852_s_at
protein tyrosine
−3.753565
0.0008441
0.0207369
−0.81519252



phosphatase, non-receptor



type 7


204960_at
protein tyrosine
−3.453943
0.0018347
0.0342115
−1.543248457



phosphatase, receptor type,



C-associated protein


221840_at
protein tyrosine
3.7346234
0.0008869
0.0214585
−0.858583092



phosphatase, receptor type, E


200677_at
pituitary tumor-
4.1576558
0.0002903
0.0105349
0.239233016



transforming 1 interacting



protein


206157_at
pentraxin-related gene,
3.2216752
0.0033088
0.049517
−2.081708082



rapidly induced by IL-1 beta


202990_at
phosphorylase, glycogen;
3.831527
0.000688
0.0181655
−0.619929851



liver (Hers disease,



glycogen storage disease



type VI)


212263_at
quaking homolog, KH
5.3418653
1.21E−005
0.0011938
3.247778353



domain RNA binding



(mouse)


212636_at
quaking homolog, KH
3.716191
0.0009307
0.0220336
−0.908636132



domain RNA binding



(mouse)


212262_at
quaking homolog, KH
3.2528714
0.0030591
0.0470963
−2.026360286



domain RNA binding



(mouse)


201482_at
quiescin Q6
3.6677766
0.0010558
0.0240075
−0.960258387


212866_at
R3H domain and coiled-coil
−3.402653
0.002092
0.037263
−1.633480478



containing 1


202252_at
RAB13, member RAS
4.4781095
0.0001232
0.0059304
1.030029421



oncogene family


217763_s_at
RAB31, member RAS
5.5810831
6.38E−006
0.0007574
3.890838429



oncogene family


217764_s_at
RAB31, member RAS
4.4541374
0.0001314
0.0062037
0.99303238



oncogene family


217762_s_at
RAB31, member RAS
3.7228006
0.0009147
0.0218473
−0.896149479



oncogene family


206039_at
RAB33A, member RAS
−4.783528
5.42E−005
0.0033259
1.826241148



oncogene family


209181_s_at
Rab
4.0980711
0.0003401
0.0116248
0.109722119



geranylgeranyltransferase,



beta subunit


204460_s_at
RAD1 homolog (S. pombe)
−4.550561
0.0001014
0.0052326
1.211555802


210216_x_at
RAD1 homolog (S. pombe)
−3.352923
0.0023746
0.0403305
−1.811129071


201223_s_at
RAD23 homolog B (S. cerevisiae)
3.3947269
0.0021348
0.0376896
−1.68684609


212646_at
raft-linking protein
−4.620352
8.41E−005
0.0045156
1.443543789


200750_s_at
RAN, member RAS
−3.366595
0.0022934
0.0395241
−1.744972227



oncogene family


202483_s_at
RAN binding protein 1
−4.976076
3.23E−005
0.0022994
2.321294163


211955_at
RAN binding protein 5
−3.198218
0.0035094
0.0511728
−2.086289595


214487_s_at
RAP2A, member of RAS
−3.476998
0.0017293
0.0331904
−1.508778336



oncogene family /// RAP2B,



member of RAS oncogene



family


203097_s_at
Rap guanine nucleotide
3.6240801
0.0011828
0.0258655
−1.130227944



exchange factor (GEF) 2


215992_s_at
Rap guanine nucleotide
4.0476699
0.0003888
0.0127232
−0.083213358



exchange factor (GEF) 2 ///



similar to Rap guanine



nucleotide exchange factor



2 (PDZ domain containing



guanine nucleotide



exchange factor 1) (PDZ-



GEF1) (RA-GEF)


204070_at
retinoic acid receptor
−7.315638
7.11E−008
3.68E−005
8.198820117



responder (tazarotene



induced) 3


206220_s_at
RAS p21 protein activator 3
−3.990046
0.000453
0.0139223
−0.228386854


205590_at
RAS guanyl releasing
−5.976124
2.23E−006
0.0003578
4.913421176



protein 1 (calcium and



DAG-regulated)


203185_at
Ras association
3.5744411
0.0013452
0.0280347
−1.257686623



(RalGDS/AF-6) domain



family 2


49306_at
Ras association
4.3680986
0.0001655
0.0072161
0.74649399



(RalGDS/AF-6) domain



family 4


203132_at
retinoblastoma 1 (including
3.3206482
0.0025774
0.042292
−1.853707726



osteosarcoma)


201092_at
retinoblastoma binding
−3.461426
0.0017998
0.0338007
−1.459013192



protein 7


221827_at
RanBP-type and C3HC4-
−3.376448
0.0022366
0.0388607
−1.728525816



type zinc finger containing 1


215127_s_at
RNA binding motif, single
3.2508813
0.0030744
0.0472141
−2.056864194



stranded interacting protein



1 /// chromosome 2 open



reading frame 12


203748_x_at
RNA binding motif, single
3.4254135
0.0019738
0.0358449
−1.573315081



stranded interacting protein



1 /// region containing



chromosome 2 open reading



frame 12; RNA binding



motif, single stranded



interacting protein 1


211974_x_at
recombining binding protein
3.995672
0.0004463
0.0138256
−0.226610249



suppressor of hairless



(Drosophila)


212612_at
REST corepressor 1
3.3408222
0.0024488
0.041089
−1.791580506


218777_at
receptor accessory protein 4
3.9027319
0.0005705
0.0162223
−0.430708647


215201_at
RALBP1 associated Eps
3.3806277
0.0022129
0.0385538
−1.721122439



domain containing 1


220570_at
resistin
4.982554
3.17E−005
0.0022669
2.386826391


218194_at
REX2, RNA exonuclease 2
−4.435454
0.0001382
0.006378
0.936889763



homolog (S. cerevisiae)


203659_s_at
ret finger protein 2
−3.474998
0.0017382
0.0332359
−1.464453355


202964_s_at
regulatory factor X, 5
−6.568302
4.75E−007
0.0001267
6.387230752



(influences HLA class II



expression)


218430_s_at
regulatory factor X domain
−3.75278
0.0008458
0.0207567
−0.833055056



containing 2


218723_s_at
response gene to
−3.355382
0.0023598
0.040171
−1.774231113



complement 32


209568_s_at
ral guanine nucleotide
3.8281998
0.0006941
0.01826
−0.593999046



dissociation stimulator-like 1


209110_s_at
ral guanine nucleotide
4.5321275
0.0001066
0.0054228
1.157756408



dissociation stimulator-like 2


202388_at
regulator of G-protein
4.1592531
0.0002891
0.0105244
0.224364062



signalling 2, 24 kDa


200059_s_at
ras homolog gene family,
4.2518542
0.0002258
0.0089214
0.460974737



member A


200885_at
ras homolog gene family,
−4.447853
0.0001336
0.0062624
0.954050093



member C


219045_at
ras homolog gene family,
−3.608608
0.0012313
0.0264526
−1.159547192



member F (in filopodia)


204951_at
ras homolog gene family,
−4.895416
4.01E−005
0.0026299
2.143584049



member H


218323_at
ras homolog gene family,
4.9871693
3.13E−005
0.0022462
2.351696222



member T1


222148_s_at
ras homolog gene family,
3.6083076
0.0012322
0.0264526
−1.184052052



member T1


204730_at
regulating synaptic
−3.738476
0.000878
0.021299
−0.850341898



membrane exocytosis 3


209684_at
Ras and Rab interactor 2
3.4795425
0.001718
0.0330187
−1.482175086


219457_s_at
Ras and Rab interactor 3
4.1348632
0.0003084
0.0109442
0.169153984


220439_at
Ras and Rab interactor 3
3.7399726
0.0008746
0.021299
−0.815042942


202130_at
RIO kinase 3 (yeast)
3.2471073
0.0031038
0.0474828
−2.041727026


209941_at
receptor (TNFRSF)-
−4.67766
7.21E−005
0.0041288
1.540113991



interacting serine-threonine



kinase 1


201785_at
ribonuclease, RNase A
7.5450772
4.02E−008
2.49E−005
8.69840649



family, 1 (pancreatic)


216667_at
ribonuclease, RNase A
7.9404174
1.53E−008
1.36E−005
9.485566694



family, 2 (liver, eosinophil-



derived neurotoxin)


206111_at
ribonuclease, RNase A
6.1911281
1.27E−006
0.000249
5.45081304



family, 2 (liver, eosinophil-



derived neurotoxin)


203022_at
ribonuclease H2, subunit A
−3.776635
0.0007946
0.0199959
−0.746667541


209565_at
ring finger protein 113A
−5.602337
6.02E−006
0.0007376
3.955565351


201779_s_at
ring finger protein 13
3.4333096
0.0019343
0.0355626
−1.614078726


221430_s_at
ring finger protein 146
5.160403
1.97E−005
0.0016545
2.832559757


212047_s_at
ring finger protein 167
−4.40883
0.0001484
0.0066929
0.848623923


216798_at
ribonuclease/angiogenin
3.5711695
0.0013566
0.0281204
−1.237174552



inhibitor 1 /// hypothetical



protein FLJ23519


216621_at
Rho-associated, coiled-coil
3.2789846
0.002864
0.0451018
−1.96790588



containing protein kinase 1


218394_at
rogdi homolog (Drosophila)
4.5169344
0.000111
0.0055225
1.166994701


210426_x_at
RAR-related orphan
−4.021103
0.0004172
0.0132622
−0.161414102



receptor A


210479_s_at
RAR-related orphan
−3.575557
0.0013413
0.0279853
−1.274155948



receptor A


205191_at
retinitis pigmentosa 2 (X-
3.3317358
0.0025059
0.0416403
−1.8475666



linked recessive)


201756_at
replication protein A2,
−3.207931
0.003425
0.0506432
−2.072247497



32 kDa


209507_at
replication protein A3,
−4.351603
0.000173
0.0074472
0.692123864



14 kDa


212191_x_at
ribosomal protein L13
−3.3278
0.0025311
0.041902
−1.856477787


214351_x_at
ribosomal protein L13 ///
−3.49646
0.0016449
0.0320401
−1.442060332



similar to ribosomal protein



L13


200715_x_at
ribosomal protein L13a
−3.99766
0.0004439
0.013816
−0.193252593


211942_x_at
ribosomal protein L13a ///
−3.553862
0.0014187
0.0289756
−1.259096827



similar to ribosomal protein



L13a /// similar to ribosomal



protein L13a; 60S ribosomal



protein L13a; 23 kD highly



basic protein


220960_x_at
ribosomal protein L22
−3.661276
0.0010739
0.0243178
−1.019404571


203012_x_at
ribosomal protein L23a
−3.454963
0.0018299
0.0341507
−1.529289261


213084_x_at
ribosomal protein L23a
−3.450528
0.0018508
0.0343685
−1.566511701


211666_x_at
ribosomal protein L3
−3.99006
0.000453
0.0139223
−0.19819782


215963_x_at
ribosomal protein L3 ///
−3.297282
0.0027346
0.043806
−1.86966255



similar to 60S ribosomal



protein L3 (L4)


200002_at
ribosomal protein L35
−3.34394
0.0024295
0.0408571
−1.752574709


219762_s_at
ribosomal protein L36
−3.599339
0.0012612
0.0268163
−1.141391787


202029_x_at
ribosomal protein L38
−4.192448
0.0002646
0.0098805
0.322151958


210115_at
ribosomal protein L39-like
−3.413489
0.0020349
0.0366855
−1.659796427


216215_s_at
Ribosomal protein L41
−3.339427
0.0024575
0.0411468
−1.823090187


211972_x_at
ribosomal protein, large, P0
−4.171509
0.0002798
0.0102535
0.272186375


208856_x_at
ribosomal protein, large, P0
−3.578695
0.0013305
0.0278887
−1.240907845


214167_s_at
ribosomal protein, large, P0
−4.199013
0.00026
0.0098029
0.324055574



/// similar to ribosomal



protein P0


211542_x_at
ribosomal protein S10
−3.237133
0.0031827
0.0480165
−2.05026604


212578_x_at
ribosomal protein S17
−3.24347
0.0031324
0.0476847
−2.037558887


217753_s_at
ribosomal protein S26 ///
−5.239186
1.59E−005
0.0014332
3.042053812



similar to 40S ribosomal



protein S26


208903_at
Ribosomal protein S28
−3.773839
0.0008004
0.0199959
−0.755039904


200024_at
ribosomal protein S5
−3.384265
0.0021925
0.0383779
−1.702994837


213801_x_at
ribosomal protein SA ///
−4.782806
5.43E−005
0.0033259
1.84102526



similar to 40S ribosomal



protein SA (p40) (34/67 kDa



laminin receptor)



(Colon carcinoma laminin-



binding protein)



(NEM/1CHD4) (Multidrug



resistance-associated protein



MGr1-Ag) /// similar to



Laminin receptor 1


212955_s_at
ribosomal protein SA ///
−3.328031
0.0025296
0.041902
−1.854419924



polymerase (RNA) II (DNA



directed) polypeptide I,



14.5 kDa


212590_at
related RAS viral (r-ras)
−4.154538
0.0002927
0.010571
0.177538426



oncogene homolog 2


208456_s_at
related RAS viral (r-ras)
−3.253809
0.0030518
0.0470787
−2.03681605



oncogene homolog 2


201476_s_at
ribonucleotide reductase M1
−3.816359
0.000716
0.0186551
−0.678928654



polypeptide


214629_x_at
reticulon 4
5.4353129
9.41E−006
0.0010085
3.52120334


210968_s_at
reticulon 4
3.4612717
0.0018005
0.0338007
−1.52848835


219684_at
receptor transporter protein 4
−5.497652
7.97E−006
0.0008834
3.662251874


219957_at
RUN and FYVE domain
3.7812485
0.0007851
0.0198789
−0.721550596



containing 2


216976_s_at
RYK receptor-like tyrosine
−3.363059
0.0023142
0.0396362
−1.772602373



kinase


205863_at
S100 calcium binding
5.6697411
5.03E−006
0.000656
4.132277826



protein A12 (calgranulin C)


202917_s_at
S100 calcium binding
6.291558
9.75E−007
0.0002131
5.69316671



protein A8 (calgranulin A)


214370_at
S100 calcium binding
−3.399446
0.0021092
0.0374709
−1.653296212



protein A8 (calgranulin A)


203535_at
S100 calcium binding
6.627653
4.08E−007
0.000115
6.534375705



protein A9 (calgranulin B)


204351_at
S100 calcium binding
4.4562535
0.0001307
0.0061941
0.992552415



protein P


220330_s_at
SAM domain, SH3 domain
4.4171826
0.0001451
0.0065847
0.889493127



and nuclear localisation



signals, 1


204900_x_at
Sin3A-associated protein,
4.804201
5.13E−005
0.0032122
1.871086644



30 kDa


218854_at
squamous cell carcinoma
4.192474
0.0002646
0.0098805
0.301950935



antigen recognized by T



cells 2


209486_at
disrupter of silencing 10
−5.287723
1.40E−005
0.0013052
3.148994281


213236_at
SAM and SH3 domain
6.3133264
9.22E−007
0.0002065
5.755701955



containing 1


41644_at
SAM and SH3 domain
5.4976382
7.97E−006
0.0008834
3.683493911



containing 1


201771_at
secretory carrier membrane
−3.503221
0.0016166
0.0316258
−1.400560388



protein 3


205790_at
src family associated
−4.231128
0.0002387
0.0093056
0.430626972



phosphoprotein 1


204362_at
src family associated
5.3043064
1.34E−005
0.0012764
3.152409702



phosphoprotein 2


216899_s_at
src family associated
3.7759379
0.0007961
0.0199959
−0.771630871



phosphoprotein 2


215754_at
scavenger receptor class B,
6.5663251
4.78E−007
0.0001267
6.383543044



member 2


205508_at
sodium channel, voltage-
3.3957489
0.0021292
0.0376845
−1.675658574



gated, type I, beta


212589_at
Sterol carrier protein 2
−3.681314
0.0010193
0.0234633
−0.994205318


218217_at
serine carboxypeptidase 1
4.050768
0.0003857
0.0126796
−0.06538095


200958_s_at
syndecan binding protein
3.6157902
0.0012085
0.0261711
−1.165750945



(syntenin)


201093_x_at
succinate dehydrogenase
−4.789653
5.33E−005
0.0033048
1.823696837



complex, subunit A,



flavoprotein (Fp)


215652_at
succinate dehydrogenase
−3.572334
0.0013525
0.0280881
−1.240547061



complex, subunit D, integral



membrane protein /// similar



to Succinate dehydrogenase



[ubiquinone] cytochrome b


202082_s_at
small subunit, mitochondrial
3.2965339
0.0027397
0.0438575
−1.933246382



precursor (CybS)



(Succinate-ubiquinone



reductase membrane anchor



subunit) (QPs3) (CII-4)



(Succinate dehydrogenase



complex subunit D)



(Succinate-ubiquinone oxi . . .



SEC14-like 1 (S. cerevisiae)


212887_at
Sec23 homolog A (S. cerevisiae)
3.2478869
0.0030977
0.0474828
−2.007581111


212902_at
SEC24 related gene family,
4.538584
0.0001048
0.0053418
1.168840876



member A (S. cerevisiae)


203789_s_at
sema domain,
3.3982188
0.0021158
0.0375372
−1.644826163



immunoglobulin domain



(Ig), short basic domain,



secreted, (semaphorin) 3C


46665_at
sema domain,
−8.88408
1.65E−009
2.06E−006
11.76724808



immunoglobulin domain



(Ig), transmembrane domain



(TM) and short cytoplasmic



domain, (semaphorin) 4C


41220_at
septin 9
−3.880289
0.0006052
0.0167115
−0.462154044


217977_at
selenoprotein X, 1
3.2270697
0.0032643
0.0490149
−1.995476502


202833_s_at
serpin peptidase inhibitor,
3.6497865
0.0011064
0.0249298
−1.021810954



clade A (alpha-1



antiproteinase, antitrypsin),



member 1


211429_s_at
serpin peptidase inhibitor,
3.3814158
0.0022085
0.0385065
−1.727765762



clade A (alpha-1



antiproteinase, antitrypsin),



member 1


206034_at
serpin peptidase inhibitor,
4.0271608
0.0004106
0.013184
−0.087261655



clade B (ovalbumin),



member 8


213370_s_at
Scm-like with four mbt
−3.239883
0.0031608
0.0478336
−2.069334589



domains 1


37004_at
surfactant, pulmonary-
−3.562882
0.001386
0.0285172
−1.270139183



associated protein B


210116_at
SH2 domain protein 1A,
−4.560044
9.89E−005
0.0051366
1.267219598



Duncan's disease



(lymphoproliferative



syndrome)


211209_x_at
SH2 domain protein 1A,
−4.553623
0.0001006
0.0052138
1.209258708



Duncan's disease



(lymphoproliferative



syndrome)


211211_x_at
SH2 domain protein 1A,
−4.125885
0.0003159
0.0110921
0.112002011



Duncan's disease



(lymphoproliferative



syndrome)


211210_x_at
SH2 domain protein 1A,
−4.102185
0.0003364
0.0115515
0.045987459



Duncan's disease



(lymphoproliferative



syndrome)


207351_s_at
SH2 domain protein 2A
−3.697451
0.0009773
0.0228272
−0.967999281


201312_s_at
SH3 domain binding
4.4991084
0.0001165
0.0056915
1.094296518



glutamic acid-rich protein



like


211250_s_at
SH3-domain binding protein 2
4.3256664
0.0001854
0.0078519
0.665768553


209370_s_at
SH3-domain binding protein 2
3.4731675
0.0017464
0.0332929
−1.521432673


218813_s_at
SH3-domain GRB2-like
−3.515977
0.0015643
0.03095
−1.404751905



endophilin B2


204656_at
Src homology 2 domain
3.7052084
0.0009577
0.0224641
−0.834417401



containing adaptor protein B


52940_at
single immunoglobulin and
−4.852165
4.51E−005
0.0028944
1.989519335



toll-interleukin 1 receptor



(TIR) domain


218921_at
single immunoglobulin and
−3.488888
0.0016773
0.0325236
−1.469916457



toll-interleukin 1 receptor



(TIR) domain


202897_at
signal-regulatory protein
4.3911658
0.0001556
0.0069054
0.821639939



alpha


222248_s_at
sirtuin (silent mating type
−3.31182
0.0026357
0.0428077
−1.912881019



information regulation 2



homolog) 4 (S. cerevisiae)


205484_at
signaling threshold
−5.594881
6.15E−006
0.0007484
3.913038159



regulating transmembrane



adaptor 1


203489_at
CD27-binding (Siva)
−4.279118
0.0002099
0.0084598
0.508890348



protein


206181_at
signaling lymphocytic
−4.366114
0.0001664
0.0072404
0.722340143



activation molecule family



member 1


219159_s_at
SLAM family member 7
−5.797399
3.59E−006
0.0004962
4.437017041


217507_at
solute carrier family 11
5.5773418
6.44E−006
0.0007574
3.896571346



(proton-coupled divalent



metal ion transporters),



member 1


217473_x_at
solute carrier family 11
4.9535835
3.43E−005
0.0023969
2.320530767



(proton-coupled divalent



metal ion transporters),



member 1


210422_x_at
solute carrier family 11
4.9323812
3.63E−005
0.0024831
2.245625928



(proton-coupled divalent



metal ion transporters),



member 1


210423_s_at
solute carrier family 11
4.6657676
7.44E−005
0.004175
1.515295173



(proton-coupled divalent



metal ion transporters),



member 1


220281_at
solute carrier family 12
−3.427437
0.0019636
0.0358275
−1.59942765



(sodium/potassium/chloride



transporters), member 1


206599_at
solute carrier family 16,
3.4590496
0.0018108
0.0339653
−1.499928251



member 5 (monocarboxylic



acid transporter 6)


211576_s_at
solute carrier family 19
3.4761341
0.0017331
0.0332077
−1.50089401



(folate transporter), member 1


202800_at
solute carrier family 1 (glial
4.971459
3.27E−005
0.0023134
2.343838903



high affinity glutamate



transporter), member 3


205896_at
solute carrier family 22
3.6470645
0.0011143
0.0250298
−1.053619868



(organic cation transporter),



member 4


218653_at
solute carrier family 25
−3.235428
0.0031964
0.0481577
−2.067745763



(mitochondrial carrier;



ornithine transporter)



member 15


202499_s_at
solute carrier family 2
8.9748804
1.34E−009
2.06E−006
11.92184489



(facilitated glucose



transporter), member 3


202497_x_at
solute carrier family 2
5.0164432
2.90E−005
0.0021512
2.473164956



(facilitated glucose



transporter), member 3


222088_s_at
solute carrier family 2
3.4188404
0.0020072
0.0362752
−1.609263061



(facilitated glucose



transporter), member 3


218494_s_at
SLC2A4 regulator
−3.832694
0.0006859
0.0181313
−0.635309642


203306_s_at
solute carrier family 35
3.8991801
0.0005758
0.0163307
−0.43629199



(CMP-sialic acid



transporter), member A1


213119_at
solute carrier family 36
4.2862534
0.000206
0.0083605
0.565098669



(proton/amino acid



symporter), member 1


213113_s_at
solute carrier family 43,
3.7618019
0.0008261
0.0204299
−0.775589198



member 3


218682_s_at
solute carrier family 4
3.8893751
0.0005909
0.0165114
−0.462284949



(anion exchanger), member



1, adaptor protein


210286_s_at
solute carrier family 4,
−5.006119
2.98E−005
0.0021909
2.38112589



sodium bicarbonate



cotransporter, member 7


212295_s_at
solute carrier family 7
−3.313905
0.0026218
0.0426754
−1.878844931



(cationic amino acid



transporter, y+ system),



member 1


216603_at
solute carrier family 7
3.6168825
0.0012051
0.0261479
−1.089682314



(cationic amino acid



transporter, y+ system),



member 8


201349_at
solute carrier family 9
−3.530699
0.0015061
0.0302551
−1.354915643



(sodium/hydrogen



exchanger), member 3



regulator 1


206565_x_at
SMA3
3.5038829
0.0016138
0.0315997
−1.428792702


215043_s_at
SMA3 /// SMA5
3.7113906
0.0009424
0.0221982
−0.904576228


204099_at
SWI/SNF related, matrix
3.3101737
0.0026467
0.0428616
−1.843889944



associated, actin dependent



regulator of chromatin,



subfamily d, member 3


219695_at
sphingomyelin
−5.447888
9.10E−006
0.0009894
3.54577275



phosphodiesterase 3, neutral



membrane (neutral



sphingomyelinase II)


220358_at
Jun dimerization protein
−3.566844
0.0013719
0.0283313
−1.23314089



p21SNFT


200826_at
small nuclear
−4.306171
0.0001953
0.0081193
0.586694209



ribonucleoprotein D2



polypeptide 16.5 kDa


202567_at
small nuclear
−3.346852
0.0024115
0.0407024
−1.774021463



ribonucleoprotein D3



polypeptide 18 kDa


203832_at
small nuclear
−4.640416
7.97E−005
0.0043626
1.441496179



ribonucleoprotein



polypeptide F


201522_x_at
small nuclear
−4.049405
0.0003871
0.0127021
−0.053295008



ribonucleoprotein



polypeptide N /// SNRPN



upstream reading frame


206042_x_at
small nuclear
−4.022786
0.0004154
0.0132558
−0.135235744



ribonucleoprotein



polypeptide N /// SNRPN



upstream reading frame


200067_x_at
sorting nexin 3
3.3174733
0.0025982
0.0424462
−1.842097372


203372_s_at
suppressor of cytokine
−4.740673
6.09E−005
0.0036255
1.695663438



signaling 2


203373_at
suppressor of cytokine
−3.944244
0.0005113
0.01509
−0.311689967



signaling 2


206359_at
suppressor of cytokine
4.9229353
3.73E−005
0.0025162
2.247238767



signaling 3


200642_at
superoxide dismutase 1,
−4.912801
3.83E−005
0.0025624
2.156758545



soluble (amyotrophic lateral



sclerosis 1 (adult))


203509_at
sortilin-related receptor,
3.7001214
0.0009705
0.0226994
−0.945497816



L(DLR class) A repeats-



containing


210985_s_at
SP100 nuclear antigen
4.5269315
0.0001081
0.0054492
1.132116103


220299_at
spermatogenesis associated 6
5.762379
3.93E−006
0.0005314
4.348169794


201997_s_at
spen homolog,
3.8170987
0.0007146
0.018646
−0.655826888



transcriptional regulator



(Drosophila)


202444_s_at
SPFH domain family,
4.64707
7.83E−005
0.0043151
1.506652756



member 1


202441_at
SPFH domain family,
3.3661947
0.0022958
0.0395338
−1.724854079



member 1


216981_x_at
sialophorin (leukosialin,
−5.578129
6.43E−006
0.0007574
3.865874533



CD43)


206057_x_at
sialophorin (leukosialin,
−4.828079
4.81E−005
0.0030535
1.921625535



CD43)


202523_s_at
sparc/osteonectin, cwcv and
−5.770771
3.85E−006
0.0005261
4.365488779



kazal-like domains



proteoglycan (testican) 2


202524_s_at
sparc/osteonectin, cwcv and
−3.816023
0.0007166
0.0186551
−0.635340832



kazal-like domains



proteoglycan (testican) 2


203127_s_at
serine palmitoyltransferase,
4.4110372
0.0001475
0.0066804
0.858510802



long chain base subunit 2


213329_at
SLIT-ROBO Rho GTPase
4.3965269
0.0001533
0.0068205
0.870848753



activating protein 2


218140_x_at
signal recognition particle
−3.35975
0.0023337
0.0398444
−1.76519771



receptor, B subunit


219204_s_at
serine racemase
−3.991728
0.000451
0.0139028
−0.202762777


207040_s_at
suppression of
−3.59272
0.001283
0.0271506
−1.220819315



tumorigenicity 13 (colon



carcinoma) (Hsp70



interacting protein)


216905_s_at
suppression of
5.4450151
9.17E−006
0.0009922
3.555270009



tumorigenicity 14 (colon



carcinoma)


202005_at
suppression of
4.5802168
9.37E−005
0.0049464
1.30725577



tumorigenicity 14 (colon



carcinoma)


204542_at
ST6 (alpha-N-acetyl-
4.3773085
0.0001614
0.0071099
0.772266698



neuraminyl-2,3-beta-



galactosyl-1,3)-N-



acetylgalactosaminide



alpha-2,6-sialyltransferase 2


38487_at
stabilin 1
9.0955932
1.02E−009
1.75E−006
12.20225685


204150_at
stabilin 1
6.2310727
1.14E−006
0.000238
5.543221025


209023_s_at
stromal antigen 2
4.1219927
0.0003192
0.0111654
0.096595212


AFFX-
signal transducer and
−7.243677
8.51E−008
4.12E−005
8.040419882


HUMISGF3
activator of transcription 1,


A/M97935_MA_at
91 kDa


AFFX-
signal transducer and
−7.033501
1.45E−007
5.64E−005
7.530750606


HUMISGF3
activator of transcription 1,


A/M97935_5_at
91 kDa


209969_s_at
signal transducer and
−5.581926
6.36E−006
0.0007574
3.875635569



activator of transcription 1,



91 kDa


AFFX-
signal transducer and
−4.787202
5.37E−005
0.0033141
1.813319891


HUMISGF3
activator of transcription 1,


A/M97935_MB_at
91 kDa


200887_s_at
signal transducer and
−4.673361
7.29E−005
0.0041477
1.513266429



activator of transcription 1,



91 kDa


AFFX-
signal transducer and
−4.529907
0.0001072
0.0054247
1.148390006


HUMISGF3
activator of transcription 1,


A/M97935_3_at
91 kDa


206118_at
signal transducer and
−6.450878
6.44E−007
0.0001605
6.093085989



activator of transcription 4


218424_s_at
STEAP family member 3
5.6295576
5.60E−006
0.0007014
4.035422827


202694_at
serine/threonine kinase 17a
−3.813817
0.0007208
0.0187415
−0.676053224



(apoptosis-inducing)


202695_s_at
serine/threonine kinase 17a
−3.430679
0.0019474
0.0356839
−1.60893435



(apoptosis-inducing)


208854_s_at
serine/threonine kinase 24
−3.249854
0.0030824
0.0473038
−2.047899674



(STE20 homolog, yeast)


200783_s_at
stathmin 1/oncoprotein 18
−3.37846
0.0022252
0.0387169
−1.751618512


217714_x_at
stathmin 1/oncoprotein 18
−3.271482
0.0029188
0.0456867
−1.986663218


203767_s_at
steroid sulfatase
4.3973474
0.000153
0.0068192
0.901273824



(microsomal), arylsulfatase



C, isozyme S


209238_at
syntaxin 3
3.4430674
0.0018866
0.0349155
−1.559737295


210580_x_at
sulfotransferase family,
4.1558468
0.0002917
0.0105514
0.236859619



cytosolic, 1A, phenol-



preferring, member 3 ///



sulfotransferase family,



cytosolic, 1A, phenol-



preferring, member 4


207601_at
sulfotransferase family,
3.8640797
0.0006316
0.0171291
−0.525205863



cytosolic, 1B, member 1


208739_x_at
SMT3 suppressor of mif
−3.281078
0.0028489
0.0449592
−1.972956534



two 3 homolog 2 (S. cerevisiae)


206506_s_at
suppressor of Ty 3 homolog
−3.491789
0.0016648
0.0323425
−1.481624359



(S. cerevisiae)


205224_at
surfeit 2
−3.317998
0.0025948
0.0424462
−1.843483405


207540_s_at
spleen tyrosine kinase
6.8718487
2.18E−007
7.06E−005
7.135740333


212990_at
synaptojanin 1
3.3132433
0.0026262
0.0427158
−1.89078544


220613_s_at
synaptotagmin-like 2
−3.774238
0.0007996
0.0199959
−0.76223741


221616_s_at
TAF9B RNA polymerase II,
3.6660346
0.0010606
0.024078
−1.015849145



TATA box binding protein



(TBP)-associated factor,



31 kDa


202307_s_at
transporter 1, ATP-binding
−3.601775
0.0012533
0.0267978
−1.208287212



cassette, sub-family B



(MDR/TAP)


204769_s_at
transporter 2, ATP-binding
−8.325113
6.09E−009
5.66E−006
10.55890931



cassette, sub-family B



(MDR/TAP)


208829_at
TAP binding protein
−3.242838
0.0031373
0.0476847
−2.056860461



(tapasin)


219443_at
taspase, threonine aspartase, 1
−4.217241
0.0002477
0.0094014
0.383060286


206916_x_at
tyrosine aminotransferase
−3.673253
0.0010409
0.0238135
−1.031831811


209154_at
Tax1 (human T-cell
6.3171051
9.13E−007
0.0002065
5.761271761



leukemia virus type I)



binding protein 3


221858_at
TBC1 domain family,
5.8959506
2.76E−006
0.0004129
4.689934159



member 12


222173_s_at
TBC1 domain family,
5.9207656
2.59E−006
0.0003896
4.761967547



member 2


201813_s_at
TBC1 domain family,
3.738163
0.0008788
0.021299
−0.861861132



member 5


202495_at
tubulin-specific chaperone c
−4.096025
0.000342
0.0116702
0.0477012


212685_s_at
transducin (beta)-like 2
3.2619037
0.0029902
0.0464971
−1.92502939


220684_at
T-box 21
−4.287217
0.0002055
0.0083543
0.517434305


336_at
thromboxane A2 receptor
3.8262027
0.0006977
0.0183344
−0.636813205


204045_at
transcription elongation
−4.288456
0.0002048
0.0083418
0.582506611



factor A (SII)-like 1


202819_s_at
transcription elongation
3.8102716
0.0007275
0.0188048
−0.625046444



factor B (SIII), polypeptide



3 (110 kDa, elongin A)


213730_x_at
transcription factor 3 (E2A
−3.39113
0.0021544
0.0378505
−1.694396157



immunoglobulin enhancer



binding factors E12/E47)


204158_s_at
T-cell, immune regulator 1,
3.3641796
0.0023076
0.0395937
−1.77014464



ATPase, H+ transporting,



lysosomal V0 subunit A3


204043_at
transcobalamin II;
8.4547789
4.49E−009
4.54E−006
10.77422771



macrocytic anemia


219715_s_at
tyrosyl-DNA
−4.812385
5.02E−005
0.0031672
1.88271269


203449_s_at
phosphodiesterase 1
−4.026205
0.0004116
0.013197
−0.094304254



telomeric repeat binding



factor (NIMA-interacting) 1


202719_s_at
testis derived transcript (3
−5.043891
2.69E−005
0.002062
2.513087156



LIM domains)


202720_at
testis derived transcript (3
−3.22533
0.0032786
0.0491966
−2.076235048



LIM domains)


218099_at
testis expressed sequence 2
4.7093484
6.62E−005
0.0038597
1.6201073


218605_at
transcription factor B2,
−4.088729
0.0003487
0.0118082
0.062719767



mitochondrial


212457_at
transcription factor binding
4.6050896
8.76E−005
0.0046709
1.352977834



to IGHM enhancer 3


216262_s_at
TGFB-induced factor 2
−3.434437
0.0019287
0.0354894
−1.602477257



(TALE family homeobox)


212040_at
trans-golgi network protein 2
3.6330386
0.0011556
0.0254961
−1.127589619


218492_s_at
THAP domain containing 7
−3.490257
0.0016714
0.0324418
−1.465161566


203887_s_at
thrombomodulin
7.2217472
8.99E−008
4.20E−005
7.98099287


203888_at
thrombomodulin
5.3756025
1.10E−005
0.0011342
3.366455464


201110_s_at
thrombospondin 1
3.8880711
0.0005929
0.0165364
−0.456473608


201109_s_at
thrombospondin 1
3.6443605
0.0011221
0.0251089
−1.076980645


212208_at
thyroid hormone receptor
3.8776807
0.0006094
0.0167851
−0.499403529



associated protein 2


203167_at
TIMP metallopeptidase
3.3762907
0.0022375
0.0388607
1.678384544



inhibitor 2


204924_at
toll-like receptor 2
5.8914326
2.79E−006
0.0004151
4.67410031


206271_at
toll-like receptor 3
−3.362162
0.0023195
0.0396727
−1.788070455


214501_s_at
toll-like receptor 4 /// H2A
4.635748
8.07E−005
0.0043967
1.43280053



histone family, member Y


210166_at
toll-like receptor 5
4.104991
0.0003339
0.0115189
0.056663989


220832_at
toll-like receptor 8
3.7958707
0.0007555
0.0193307
−0.692038473


219892_at
transmembrane 6
3.8952499
0.0005818
0.0164114
−0.412464962



superfamily member 1


208184_s_at
transmembrane protein 1
−3.529962
0.0015089
0.0302645
−1.344894068


218930_s_at
transmembrane protein
−3.30508
0.0026811
0.0432556
−1.927577145



106B


201361_at
transmembrane protein 109
−4.012189
0.0004272
0.0134258
−0.171802991


201934_at
Transmembrane protein 113
−3.514453
0.0015705
0.0309805
−1.398727123


218477_at
transmembrane protein 14A
−4.759601
5.78E−005
0.0035017
1.754649888


212989_at
transmembrane protein 23
5.2872176
1.40E−005
0.0013052
3.153543724


218615_s_at
transmembrane protein 39A
6.0037925
2.08E−006
0.0003453
4.979344825


220990_s_at
transmembrane protein 49
6.0647884
1.77E−006
0.0003031
5.13407909



/// microRNA 21


219600_s_at
transmembrane protein 50B
−4.542525
0.0001037
0.0052977
1.220843469


212204_at
transmembrane protein 87A
−3.600801
0.0012564
0.0268042
−1.197661812


212281_s_at
transmembrane protein 97
−4.659473
7.57E−005
0.0042231
1.507037246


212279_at
transmembrane protein 97
−4.015123
0.0004239
0.0133407
−0.137448782


212282_at
transmembrane protein 97
−3.549258
0.0014356
0.0292954
−1.314433665


201645_at
tenascin C (hexabrachion)
3.3249374
0.0025495
0.0420212
−1.848438808


206025_s_at
tumor necrosis factor, alpha-
6.8901834
2.08E−007
7.06E−005
7.090403074



induced protein 6


206026_s_at
tumor necrosis factor, alpha-
4.8686295
4.31E−005
0.0028028
2.113663493



induced protein 6


211163_s_at
tumor necrosis factor
3.2864659
0.0028104
0.0446357
−1.890963078



receptor superfamily,


209354_at
member 10c, decoy without
−3.483609
0.0017002
0.032801
−1.480781959



an intracellular domain



tumor necrosis factor



receptor superfamily,



member 14 (herpesvirus



entry mediator)


207643_s_at
tumor necrosis factor
3.4506284
0.0018504
0.0343685
−1.495664907



receptor superfamily,



member 1A


210314_x_at
tumor necrosis factor
4.6582433
7.60E−005
0.0042231
1.50299243



(ligand) superfamily,



member 13 /// tumor



necrosis factor (ligand)



superfamily, member 12-



member 13


209500_x_at
tumor necrosis factor
3.3587991
0.0023394
0.0398777
−1.755497828



(ligand) superfamily,



member 13 /// tumor



necrosis factor (ligand)



superfamily, member 12-



member 13


218467_at
tumor necrosis factor
−3.779794
0.0007881
0.0199198
−0.710816557



superfamily, member 5-



induced protein 1


213107_at
TRAF2 and NCK
−4.289367
0.0002043
0.0083368
0.526899388



interacting kinase


217853_at
transportin 3
3.6748085
0.0010367
0.0237807
−0.976929327



tensin 3
4.9664964
3.31E−005
0.0023297
2.290198091


201812_s_at
translocase of outer
−3.513856
0.0015729
0.0309892
−1.418772076



mitochondrial membrane 7



homolog (yeast) ///



hypothetical protein



LOC201725


201519_at
translocase of outer
−4.4208
0.0001437
0.0065345
0.893230892



mitochondrial membrane 70



homolog A (S. cerevisiae)


204529_s_at
thymus high mobility group
−3.767864
0.0008131
0.0202657
−0.762876334



box protein TOX


201746_at
tumor protein p53 (Li-
−5.590339
6.22E−006
0.0007534
3.913976383



Fraumeni syndrome)


211300_s_at
tumor protein p53 (Li-
−3.759786
0.0008304
0.0205152
−0.801869935



Fraumeni syndrome)


210886_x_at
TP53 activated protein 1
−3.857224
0.0006431
0.0173489
−0.55131381


210609_s_at
tumor protein p53 inducible
4.5208633
0.0001099
0.0055225
1.163240291



protein 3


201688_s_at
tumor protein D52
−3.206253
0.0034394
0.0506887
−2.043214283


214195_at
tripeptidyl peptidase I
4.3567851
0.0001706
0.0073659
0.759708629


200743_s_at
tripeptidyl peptidase I
3.9060532
0.0005655
0.0161776
−0.440759924



tyrosylprotein


204140_at
sulfotransferase 1
9.5912477
3.38E−010
7.52E−007
12.97733866


211902_x_at
T cell receptor alpha locus
−5.936042
2.48E−006
0.0003843
4.793610525


215540_at
T cell receptor alpha locus
−5.423983
9.70E−006
0.0010296
3.470652626


216133_at
T cell receptor alpha locus
−5.368402
1.13E−005
0.0011458
3.320535206


217394_at
T cell receptor alpha locus
−3.979443
0.0004659
0.014279
−0.265634691


209671_x_at
T cell receptor alpha locus
−6.33373
8.74E−007
0.0002028
5.800489831



/// T cell receptor alpha



constant


210972_x_at
T cell receptor alpha locus
−7.348774
6.54E−008
3.56E−005
8.283645607



/// T cell receptor delta



variable 2 /// T cell receptor



alpha variable 20 /// T cell



receptor alpha constant


215524_x_at
T cell receptor alpha locus
−5.771987
3.84E−006
0.0005261
4.361822067



/// YME1-like 1 (S. cerevisiae)



/// T cell receptor



delta variable 2 /// T cell



receptor alpha variable 20 ///



T cell receptor alpha



constant


209670_at
T cell receptor alpha
−5.614548
5.83E−006
0.000718
3.984879368



constant


205641_s_at
TNFRSF1 A-associated via
−3.864291
0.0006313
0.0171291
−0.533163843



death domain


221571_at
TNF receptor-associated
−3.474931
0.0017385
0.0332359
−1.490489904



factor 3


208315_x_at
TNF receptor-associated
−3.336893
0.0024733
0.0412217
−1.83471622



factor 3


205558_at
TNF receptor-associated
−5.118072
2.20E−005
0.0017933
2.685989529



factor 6


202369_s_at
translocation associated
3.399223
0.0021104
0.0374709
−1.693080639



membrane protein 2


217958_at
trafficking protein particle
−5.294302
1.37E−005
0.0012969
3.149080792



complex 4


217959_s_at
trafficking protein particle
−3.618858
0.001199
0.02607
−1.161971812



complex 4


204985_s_at
trafficking protein particle
−4.42802
0.0001409
0.0064487
0.913874605



complex 6A


217147_s_at
T cell receptor associated
−5.1554
1.99E−005
0.0016706
2.803623231



transmembrane adaptor 1


213193_x_at
T cell receptor beta variable
−6.464127
6.22E−007
0.0001576
6.127595576



19 /// T cell receptor beta



constant 1


210915_x_at
T cell receptor beta variable
−5.995374
2.12E−006
0.0003463
4.958787768



19 /// T cell receptor beta



constant 1


211796_s_at
T cell receptor beta variable
−6.27007
1.03E−006
0.0002232
5.647887941



21-1 /// T cell receptor beta



variable 19 /// T cell



receptor beta variable 5-4 ///



T cell receptor beta variable



3-1 /// T cell receptor beta



constant 1


217381_s_at
T cell receptor gamma



variable 5 /// hypothetical
−3.28808
0.0027989
0.0445174
−1.952613068



protein LOC648852


202241_at
tribbles homolog 1
7.5132583
4.35E−008
2.62E−005
8.679827422



(Drosophila)


202479_s_at
tribbles homolog 2
−4.330821
0.0001828
0.0077777
0.645636246



(Drosophila)


203846_at
tripartite motif-containing
−4.901312
3.95E−005
0.0026038
2.113629506



32


219405_at
tripartite motif-containing
−5.108003
2.27E−005
0.0018222
2.645489367



68


212656_at
Ts translation elongation
−3.850017
0.0006554
0.0175534
−0.57523954



factor, mitochondrial


200973_s_at
tetraspanin 3
−4.043354
0.0003933
0.0128508
−0.044157262


209264_s_at
tetraspanin 4
−3.264792
0.0029685
0.0462889
−1.993384865


205652_s_at
tubulin tyrosine ligase-like
−4.18953
0.0002667
0.0099065
0.332588841



family, member 1


211714_x_at
tubulin, beta
−4.034927
0.0004022
0.0130266
−0.104911491


209026_x_at
tubulin, beta
−3.291809
0.0027727
0.0441712
−1.959242697


208864_s_at
thioredoxin
3.3255919
0.0025453
0.0420125
−1.862627759


208959_s_at
thioredoxin domain
3.4060129
0.0020741
0.0370631
−1.664100407



containing 4 (endoplasmic



reticulum)


209340_at
UDP-N-acteylglucosamine
−4.03047
0.000407
0.0131052
−0.098477318



pyrophosphorylase 1


214755_at
UDP-N-acteylglucosamine
3.8955918
0.0005813
0.0164114
−0.440015337



pyrophosphorylase 1-like 1


221700_s_at
ubiquitin A-52 residue
−5.019221
2.88E−005
0.0021433
2.447535269



ribosomal protein fusion



product 1


217823_s_at
ubiquitin-conjugating
7.4560627
5.01E−008
2.94E−005
8.546204618



enzyme E2, J1 (UBC6



homolog, yeast)


217826_s_at
ubiquitin-conjugating
5.2557813
1.52E−005
0.0013909
3.041318423



enzyme E2, J1 (UBC6



homolog, yeast)


217825_s_at
ubiquitin-conjugating
4.7504707
5.93E−005
0.0035791
1.7317692



enzyme E2, J1 (UBC6



homolog, yeast)


217824_at
ubiquitin-conjugating
4.4448746
0.0001347
0.0062793
0.949423013



enzyme E2, J1 (UBC6



homolog, yeast)


217978_s_at
ubiquitin-conjugating
−4.228821
0.0002401
0.0093056
0.412979469



enzyme E2Q (putative) 1


219172_at
ubiquitin domain containing 1
3.4313618
0.001944
0.0356815
−1.582019284


202330_s_at
uracil-DNA glycosylase
−3.214258
0.003371
0.050078
−2.070496452


203234_at
uridine phosphorylase 1
4.4662231
0.0001272
0.0060731
1.057050974


210681_s_at
ubiquitin specific peptidase
3.2950986
0.0027497
0.0439378
−1.948321615



15


207211_at
ubiquitin specific peptidase 2
3.2165756
0.0033515
0.0499874
−2.093423662


203965_at
ubiquitin specific peptidase
−3.683953
0.0010123
0.023375
−0.970196762



20


206405_x_at
ubiquitin specific peptidase
3.4566809
0.0018219
0.0340576
−1.555816652



6 (Tre-2 oncogene)


204255_s_at
vitamin D (1,25-
3.3295297
0.00252
0.0417806
−1.865806845



dihydroxyvitamin D3)



receptor


211527_x_at
vascular endothelial growth
4.3473077
0.000175
0.0075115
0.710749277



factor


210512_s_at
vascular endothelial growth
4.3250235
0.0001857
0.0078519
0.634031227



factor


212171_x_at
vascular endothelial growth
3.3953161
0.0021315
0.0376896
−1.674466924



factor


208622_s_at
villin 2 (ezrin)
−3.587221
0.0013014
0.0274098
−1.204190074


203459_s_at
vacuolar protein sorting 16
3.9525631
0.0005002
0.0149201
−0.323834974



(yeast)


217837_s_at
vacuolar protein sorting 24
3.6530442
0.0010971
0.0247936
−1.051987141



homolog (S. cerevisiae)


204590_x_at
vacuolar protein sorting 33
−3.601451
0.0012543
0.0267978
−1.207101626



homolog A (S. cerevisiae)


204787_at
V-set and immunoglobulin
9.4475204
4.64E−010
8.61E−007
12.85523733



domain containing 4


200629_at
tryptophanyl-tRNA
−5.272927
1.45E−005
0.0013482
3.116657464



synthetase


200628_s_at
tryptophanyl-tRNA
−4.221181
0.0002451
0.009383
0.353722972



synthetase


212606_at
WD repeat and FYVE
6.1896123
1.27E−006
0.000249
5.439218127



domain containing 3


212602_at
WD repeat and FYVE
4.1210426
0.00032
0.0111761
0.176181465



domain containing 3


212598_at
WD repeat and FYVE
3.8915864
0.0005875
0.0164871
−0.435503889



domain containing 3


209461_x_at
WD repeat domain 18
−3.514309
0.0015711
0.0309805
−1.391071876


218851_s_at
WD repeat domain 33
−3.792828
0.0007616
0.0194616
−0.726323818


215905_s_at
WD repeat domain 57 (U5
−4.514933
0.0001116
0.0055344
1.150267568



snRNP specific)


221532_s_at
WD repeat domain 61
−3.407047
0.0020687
0.0369951
−1.593954553


215156_at
WD repeat domain 61
3.3016317
0.0027046
0.0434514
−1.893174705


214061_at
WD repeat domain 67
−3.575841
0.0013403
0.0279853
−1.15398179


219193_at
WD repeat domain 70
−3.363782
0.0023099
0.0395937
−1.744365645


219478_at
WAP four-disulfide core
3.4387424
0.0019076
0.03521
−1.536993233



domain 1


210561_s_at
WD repeat and SOCS box-
4.0085842
0.0004313
0.0135115
−0.178043218



containing 1


201296_s_at
WD repeat and SOCS box-
3.7312421
0.0008948
0.0215787
−0.883481455



containing 1


206366_x_at
chemokine (C motif) ligand 2
−3.267934
0.0029451
0.0460201
−1.994411017


202932_at
v-yes-1 Yamaguchi sarcoma
−6.020191
1.99E−006
0.0003357
5.003651416



viral oncogene homolog 1


213996_at
yippee-like 1 (Drosophila)
−3.882592
0.0006016
0.0166932
−0.407780108


214631_at
zinc finger and BTB domain
−3.281852
0.0028434
0.044935
−1.953826399



containing 33


204181_s_at
zinc finger and BTB domain
4.4329552
0.0001391
0.0064034
0.942572026



containing 43


220104_at
zinc finger CCCH-type,
−5.025738
2.83E−005
0.0021203
2.463004001



antiviral 1


213853_at
zinc finger, CSL-type
−4.051569
0.0003848
0.0126796
−0.053886714



containing 3


212982_at
zinc finger, DHHC-type
3.6939685
0.0009862
0.0229583
−0.937959088



containing 17


218077_s_at
zinc finger, DHHC-type
3.3148115
0.0026158
0.0426086
−1.89439339



containing 3


203603_s_at
zinc finger homeobox 1b
3.4667365
0.0017755
0.033635
−1.52157029


217781_s_at
zinc finger protein 106
4.5749938
9.50E−005
0.0050044
1.262299233



homolog (mouse)


209724_s_at
zinc finger protein 161
−4.093231
0.0003445
0.0117213
0.06143106



homolog (mouse)


207090_x_at
zinc finger protein 30
−3.718246
0.0009257
0.0219904
−0.912694737



homolog (mouse)


201531_at
zinc finger protein 36, C3H
5.3015247
1.35E−005
0.0012774
3.160231961



type, homolog (mouse)


210282_at
zinc finger, MYM-type 2
3.3388242
0.0024612
0.0411468
−1.792009743


213698_at
zinc finger, MYM-type 6
−3.426359
0.001969
0.0358275
−1.61184175


216350_s_at
zinc finger protein 10
−4.247211
0.0002286
0.0089711
0.431689143


207605_x_at
zinc finger protein 117
−3.369845
0.0022745
0.0393506
−1.749220533


216960_s_at
zinc finger protein 133
−3.714698
0.0009343
0.022054
−0.887168408


219854_at
zinc finger protein 14
−3.764607
0.00082
0.0203709
−0.718788206


204523_at
zinc finger protein 140
−3.24699
0.0031047
0.0474828
−2.029248631


213452_at
zinc finger protein 184
−4.035509
0.0004016
0.0130255
−0.110930248


204327_s_at
zinc finger protein 202
−3.527591
0.0015182
0.0303953
−1.368262557


203985_at
zinc finger protein 212
−3.928858
0.0005325
0.0155102
−0.383188113


218005_at
zinc finger protein 22 (KOX
−4.62558
8.29E−005
0.0044741
1.421087611



15)


217403_s_at
zinc finger protein 227
−3.412141
0.0020419
0.0367257
−1.645642234


206900_x_at
zinc finger protein 253
−5.475987
8.44E−006
0.0009268
3.601028141


213778_x_at
zinc finger protein 276
−5.659234
5.18E−006
0.0006707
4.084696095


220055_at
zinc finger protein 287
−4.102977
0.0003357
0.0115515
0.047648379


215429_s_at
zinc finger protein 428
−3.238631
0.0031707
0.0479008
−2.041757374


205928_at
zinc finger protein 443
−4.409745
0.000148
0.00669
0.856775472


206053_at
zinc finger protein 510
−3.289375
0.0027898
0.0444036
−1.960045895


206648_at
zinc finger protein 571
−3.557317
0.0014061
0.0287974
−1.316878093


217547_x_at
zinc finger protein 675
−4.178928
0.0002743
0.0101026
0.270088801


213658_at
Zinc finger protein 710
−4.51761
0.0001108
0.0055225
1.151761708


206180_x_at
zinc finger protein 747
−4.822356
4.88E−005
0.0030921
1.948607569


222120_at
zinc finger protein 764
−3.382796
0.0022007
0.0384616
−1.731593303


212544_at
zinc finger, HIT type 3
−3.774469
0.0007991
0.0199959
−0.767304552


211950_at
zinc finger, UBR1 type 1
4.9957989
3.06E−005
0.0022088
2.360604795


218639_s_at
ZXD family zinc finger C
3.7250128
0.0009095
0.0217998
−0.907201906





{circumflex over ( )}Probe set ID number is the Affymetrix ID number on the HU133A array.


*Moderated t-statistic. This has the same interpretation as an ordinary t-statistic except that the standard errors have been moderated across genes, i.e., shrunk towards a common value, using a simple Bayesian model. Positive t-statistic indicates that the gene is upregulated following hemorrhagic stroke. Negative t-statistic indicates that the gene is downregulated following hemorrhagic stroke.



$P-value uncorrected p value




#Adjusted p-value is the corrected value after correction for multitple comparisons using the FDR method.




@The B-statistic (lods or B) is the log-odds that the gene is differentially expressed.














TABLE 4







stroke related-genes using Holm correction and comparison


to non-stroke subjects.












Probe Set

t-

Adjusted



ID{circumflex over ( )}
Gene Name
statistic*
P Value$
P Value#
B@















211372_s_at
interleukin 1 receptor, type II
26.109122
1.01E−020
2.24E−016
30.71443211


205257_s_at
amphiphysin (Stiff-Man
24.606614
4.70E−020
1.05E−015
30.88004619



syndrome with breast cancer



128 kDa autoantigen)


205403_at
interleukin 1 receptor, type II
19.405844
2.07E−017
4.62E−013
26.80773514


216233_at
CD163 molecule
18.497494
6.95E−017
1.55E−012
25.43080936


200919_at
polyhomeotic-like 2
13.491127
1.57E−013
3.50E−009
19.73316172



(Drosophila)


214535_s_at
ADAM metallopeptidase with
13.353671
2.00E−013
4.46E−009
19.55417663



thrombospondin type 1 motif, 2


219157_at
kelch-like 2, Mayven
10.76177
2.80E−011
6.24E−007
15.40078527



(Drosophila)


206028_s_at
c-mer proto-oncogene tyrosine
10.469242
5.13E−011
1.14E−006
14.90589976



kinase


215049_x_at
CD163 molecule
9.7258472
2.51E−010
5.60E−006
13.52665406


204140_at
tyrosylprotein sulfotransferase 1
9.5912477
3.38E−010
7.52E−006
12.97733866


203645_s_at
CD163 molecule
9.529413
3.87E−010
8.62E−006
13.11769962


204787_at
V-set and immunoglobulin
9.4475204
4.64E−010
1.03E−005
12.85523733



domain containing 4


38487_at
stabilin 1
9.0955932
1.02E−009
2.28E−005
12.20225685


202499_s_at
solute carrier family 2
8.9748804
1.34E−009
2.99E−005
11.92184489



(facilitated glucose transporter),



member 3


206522_at
maltase-glucoamylase (alpha-
8.9425055
1.45E−009
3.22E−005
11.67816349



glucosidase) /// similar to



Maltase-glucoamylase, intestinal


206674_at
fms-related tyrosine kinase 3
8.9158813
1.54E−009
3.43E−005
11.78456326


46665_at
sema domain, immunoglobulin
−8.88408
1.65E−009
3.68E−005
11.76724808



domain (Ig), transmembrane



domain (TM) and short



cytoplasmic domain,



(semaphorin) 4C


219358_s_at
centaurin, alpha 2
8.8817081
1.66E−009
3.70E−005
11.79433186


209286_at
CDC42 effector protein (Rho
8.7039359
2.51E−009
5.58E−005
11.36556799



GTPase binding) 3


217502_at
interferon-induced protein with
−8.647679
2.86E−009
6.36E−005
11.27869101



tetratricopeptide repeats 2


201601_x_at
interferon induced
−8.572445
3.40E−009
7.58E−005
11.07737096



transmembrane protein 1 (9-27)


204043_at
transcobalamin II; macrocytic
8.4547789
4.49E−009
9.99E−005
10.77422771



anemia


220001_at
peptidyl arginine deiminase,
8.3835748
5.30E−009
0.0001181
10.63185834



type IV


204769_s_at
transporter 2, ATP-binding
−8.325113
6.09E−009
0.0001356
10.55890931



cassette, sub-family B



(MDR/TAP)


216667_at
ribonuclease, RNase A family, 2
7.9404174
1.53E−008
0.0003405
9.485566694



(liver, eosinophil-derived



neurotoxin)


204713_s_at
coagulation factor V
7.8705559
1.81E−008
0.0004033
9.39995824



(proaccelerin, labile factor)


213006_at
CCAAT/enhancer binding
7.8208216
2.04E−008
0.0004551
9.380113378



protein (C/EBP), delta


207460_at
granzyme M (lymphocyte met-
−7.750349
2.43E−008
0.0005404
9.235332652



ase 1)


207275_s_at
acyl-CoA synthetase long-chain
7.7487799
2.44E−008
0.0005424
9.200907246



family member 1


214696_at
hypothetical protein MGC14376
7.7417859
2.48E−008
0.0005518
9.178335493


203428_s_at
ASF1 anti-silencing function 1
−7.698443
2.76E−008
0.0006135
9.105468688



homolog A (S. cerevisiae)


208826_x_at
histidine triad nucleotide binding
−7.684964
2.85E−008
0.0006341
9.064674732



protein 1


211936_at
heat shock 70 kDa protein 5
7.6812023
2.88E−008
0.0006399
9.061677362



(glucose-regulated protein,



78 kDa)


202531_at
interferon regulatory factor 1
−7.657986
3.04E−008
0.0006774
9.022177601


212658_at
lipoma HMGIC fusion partner-
7.5928187
3.57E−008
0.0007951
8.837614782



like 2


201785_at
ribonuclease, RNase A family, 1
7.5450772
4.02E−008
0.0008944
8.69840649



(pancreatic)


202241_at
tribbles homolog 1 (Drosophila)
7.5132583
4.35E−008
0.0009675
8.679827422


217823_s_at
ubiquitin-conjugating enzyme
7.4560627
5.01E−008
0.0011148
8.546204618



E2, J1 (UBC6 homolog, yeast)


214877_at
CDK5 regulatory subunit
−7.380157
6.05E−008
0.0013462
8.358822206



associated protein 1-like 1


202145_at
lymphocyte antigen 6 complex,
−7.366572
6.26E−008
0.0013924
8.33334838



locus E


210972_x_at
T cell receptor alpha locus /// T
−7.348774
6.54E−008
0.0014555
8.283645607



cell receptor delta variable 2 ///



T cell receptor alpha variable 20



/// T cell receptor alpha constant


221688_s_at
IMP3, U3 small nucleolar
−7.319613
7.04E−008
0.0015654
8.216503503



ribonucleoprotein, homolog



(yeast)


204070_at
retinoic acid receptor responder
−7.315638
7.11E−008
0.0015809
8.198820117



(tazarotene induced) 3


201963_at
acyl-CoA synthetase long-chain
7.2748901
7.87E−008
0.0017504
8.113119287



family member 1


202730_s_at
programmed cell death 4
−7.258288
8.20E−008
0.0018246
8.071670715



(neoplastic transformation



inhibitor)


AFFX-
signal transducer and activator
−7.243677
8.51E−008
0.0018926
8.040419882


HUMISGF3A/
of transcription 1, 91 kDa


M97935_MA_at


203887_s_at
thrombomodulin
7.2217472
8.99E−008
0.0019995
7.98099287


203674_at
helicase with zinc finger
7.2191971
9.05E−008
0.0020123
7.981565104


202861_at
period homolog 1 (Drosophila)
7.2015321
9.46E−008
0.0021035
7.937670727


202436_s_at
cytochrome P450, family 1,
7.1543503
1.07E−007
0.0023683
7.822723722



subfamily B, polypeptide 1


211571_s_at
chondroitin sulfate proteoglycan
7.0973548
1.23E−007
0.0027342
7.681872527



2 (versican)


221011_s_at
hypothetical protein
−7.094931
1.24E−007
0.0027509
7.670411186



DKFZp566J091 /// hypothetical



protein DKFZp566J091 ///



similar to hypothetical protein



DKFZp566J091


200644_at
MARCKS-like 1
−7.088418
1.26E−007
0.0027964
7.662378032


209163_at
cytochrome b-561
−7.083343
1.27E−007
0.0028323
7.652027367


221081_s_at
DENN/MADD domain
−7.06017
1.35E−007
0.003003
7.573105401



containing 2D


AFFX-
signal transducer and activator
−7.033501
1.45E−007
0.0032126
7.530750606


HUMISGF3A/
of transcription 1, 91 kDa


M97935_5_at


221039_s_at
development and differentiation
7.0328086
1.45E−007
0.0032181
7.52906031



enhancing factor 1


208189_s_at
myosin VIIA
7.0276054
1.47E−007
0.0032606
7.51220835


217722_s_at
neugrin, neurite outgrowth
−7.00942
1.54E−007
0.0034142
7.472039365



associated


64064_at
GTPase, IMAP family member 5
−6.980471
1.65E−007
0.0036742
7.401416652


218660_at
dysferlin, limb girdle muscular
6.9457601
1.81E−007
0.0040127
7.308255352



dystrophy 2B (autosomal



recessive)


204714_s_at
coagulation factor V
6.9047733
2.00E−007
0.0044537
7.202864473



(proaccelerin, labile factor)


215001_s_at
glutamate-ammonia ligase
6.9032827
2.01E−007
0.0044704
7.211931747



(glutamine synthetase)


206025_s_at
tumor necrosis factor, alpha-
6.8901834
2.08E−007
0.0046219
7.090403074



induced protein 6


209508_x_at
CASP8 and FADD-like
6.8867892
2.10E−007
0.0046619
7.171950728



apoptosis regulator


205931_s_at
cAMP responsive element
6.8831696
2.12E−007
0.0047049
7.144372934



binding protein 5


204446_s_at
arachidonate 5-lipoxygenase
6.8751354
2.16E−007
0.0048021
7.143490943


207540_s_at
spleen tyrosine kinase
6.8718487
2.18E−007
0.0048423
7.135740333


207485_x_at
butyrophilin, subfamily 3,
−6.870456
2.19E−007
0.0048593
7.132260801



member A1


202435_s_at
cytochrome P450, family 1,
6.8642415
2.22E−007
0.0049367
7.116902873



subfamily B, polypeptide 1


210039_s_at
protein kinase C, theta
−6.853394
2.28E−007
0.0050751
7.089585199


219209_at
interferon induced with helicase
−6.843417
2.34E−007
0.0052058
7.064971115



C domain 1


218689_at
Fanconi anemia,
−6.820166
2.49E−007
0.0055243
7.008995717



complementation group F


37577_at
Rho GTPase activating protein
6.7634786
2.88E−007
0.0063868
6.869000176



19


214643_x_at
bridging integrator 1
−6.752528
2.96E−007
0.0065683
6.842410212


218805_at
GTPase, IMAP family member 5
−6.740512
3.05E−007
0.0067736
6.81182532


218025_s_at
peroxisomal D3, D2-enoyl-CoA
−6.668995
3.67E−007
0.0081398
6.635968187



isomerase


218092_s_at
HIV-1 Rev binding protein ///
6.6361304
3.99E−007
0.0088584
6.555967735



region containing hypothetical



protein LOC285086; HIV-1 Rev



binding protein


203535_at
S100 calcium binding protein
6.627653
4.08E−007
0.0090537
6.534375705



A9 (calgranulin B)


213537_at
major histocompatibility
−6.587999
4.52E−007
0.0100286
6.436948993



complex, class II, DP alpha 1


205020_s_at
ADP-ribosylation factor-like 4A
6.5781587
4.63E−007
0.0102863
6.412365317


217552_x_at
complement component (3b/4b)
6.5779604
4.64E−007
0.0102911
6.412072722



receptor 1 (Knops blood group)


202964_s_at
regulatory factor X, 5
−6.568302
4.75E−007
0.0105506
6.387230752



(influences HLA class II



expression)


215754_at
scavenger receptor class B,
6.5663251
4.78E−007
0.0106042
6.383543044



member 2


213688_at
calmodulin 1 (phosphorylase
−6.510788
5.51E−007
0.0122425
6.240465245



kinase, delta)


210640_s_at
G protein-coupled receptor 30
6.4845034
5.90E−007
0.0131049
6.173410568


205786_s_at
integrin, alpha M (complement
6.4795743
5.98E−007
0.0132729
6.164969498



component 3 receptor 3 subunit)


213193_x_at
T cell receptor beta variable 19
−6.464127
6.22E−007
0.013815
6.127595576



/// T cell receptor beta constant 1


206118_at
signal transducer and activator
−6.450878
6.44E−007
0.0142978
6.093085989



of transcription 4


203140_at
B-cell CLL/lymphoma 6 (zinc
6.4484079
6.48E−007
0.0143891
6.082317265



finger protein 51)


211829_s_at
G protein-coupled receptor 30
6.4243249
6.90E−007
0.0153175
5.992630343


209471_s_at
farnesyltransferase, CAAX box,
−6.417811
7.02E−007
0.0155784
6.013878869



alpha


201280_s_at
disabled homolog 2, mitogen-
6.3730121
7.89E−007
0.0175037
5.892530411



responsive phosphoprotein



(Drosophila)


218561_s_at
chromosome 6 open reading
−6.367632
8.00E−007
0.0177499
5.890852776



frame 149


215646_s_at
chondroitin sulfate proteoglycan
6.3339611
8.73E−007
0.0193773
5.797392458



2 (versican)


209671_x_at
T cell receptor alpha locus /// T
−6.33373
8.74E−007
0.0193881
5.800489831



cell receptor alpha constant


206335_at
galactosamine (N-acetyl)-6-
6.3239096
8.96E−007
0.0198903
5.779394683



sulfate sulfatase (Morquio



syndrome,



mucopolysaccharidosis type



IVA)


209154_at
Tax1 (human T-cell leukemia
6.3171051
9.13E−007
0.0202457
5.761271761



virus type I) binding protein 3


213236_at
SAM and SH3 domain
6.3133264
9.22E−007
0.0204455
5.755701955



containing 1


211991_s_at
major histocompatibility
−6.311143
9.27E−007
0.0205614
5.749261512



complex, class II, DP alpha 1


212888_at
Dicer1, Dcr-1 homolog
6.2936145
9.70E−007
0.0215234
5.693791253



(Drosophila)


202917_s_at
S100 calcium binding protein
6.291558
9.75E−007
0.0216384
5.69316671



A8 (calgranulin A)


211796_s_at
T cell receptor beta variable 21-1
−6.27007
1.03E−006
0.0228873
5.647887941



/// T cell receptor beta variable



19 /// T cell receptor beta



variable 5-4 /// T cell receptor



beta variable 3-1 /// T cell



receptor beta constant 1


219889_at
frequently rearranged in
6.25963
1.06E−006
0.0235196
5.619733039



advanced T-cell lymphomas


201185_at
HtrA serine peptidase 1
6.2530319
1.08E−006
0.0239279
5.605563874


200953_s_at
cyclin D2
−6.234765
1.13E−006
0.0250983
5.558570668


204150_at
stabilin 1
6.2310727
1.14E−006
0.025341
5.543221025


205425_at
huntingtin interacting protein 1
6.2228987
1.17E−006
0.025888
5.53011363


203298_s_at
Jumonji, AT rich interactive
6.2222872
1.17E−006
0.0259284
5.518414859



domain 2


219574_at
membrane-associated ring finger
6.2140115
1.19E−006
0.0264953
5.496195004



(C3HC4) 1


217119_s_at
chemokine (C—X—C motif)
−6.212669
1.20E−006
0.0265874
5.495676727



receptor 3


203936_s_at
matrix metallopeptidase 9
6.2084895
1.21E−006
0.026879
5.494417575



(gelatinase B, 92 kDa gelatinase,



92 kDa type IV collagenase)


206111_at
ribonuclease, RNase A family, 2
6.1911281
1.27E−006
0.028129
5.45081304



(liver, eosinophil-derived



neurotoxin)


212606_at
WD repeat and FYVE domain
6.1896123
1.27E−006
0.0282398
5.439218127



containing 3


209906_at
complement component 3a
6.1809183
1.30E−006
0.0288897
5.413796702



receptor 1


218091_at
HIV-1 Rev binding protein ///
6.1478546
1.42E−006
0.0315068
5.340512512



region containing hypothetical



protein LOC285086; HIV-1 Rev



binding protein


202208_s_at
ADP-ribosylation factor-like 4C
−6.147552
1.42E−006
0.0315304
5.341709786


209135_at
aspartate beta-hydroxylase
6.1302992
1.49E−006
0.0329905
5.298766404


214438_at
H2.0-like homeobox 1
6.1182254
1.54E−006
0.0340524
5.26739525



(Drosophila)


216969_s_at
kinesin family member 22
−6.117807
1.54E−006
0.0340884
5.245713904


200952_s_at
cyclin D2
−6.106075
1.59E−006
0.0351544
5.218632002


204619_s_at
chondroitin sulfate proteoglycan
6.0890716
1.66E−006
0.0367606
5.177048193



2 (versican)


211997_x_at
H3 histone, family 3B (H3.3B)
6.0804473
1.70E−006
0.0376026
5.168767149


218559_s_at
v-maf musculoaponeurotic
6.0797981
1.70E−006
0.0376652
5.148454877



fibrosarcoma oncogene homolog



B (avian)


207721_x_at
histidine triad nucleotide binding
−6.078022
1.71E−006
0.03784
5.159287966



protein 1


202820_at
aryl hydrocarbon receptor
6.0756321
1.72E−006
0.038077
5.158254442


203828_s_at
interleukin 32
−6.070581
1.74E−006
0.0385849
5.138343653


200814_at
proteasome (prosome,
−6.067133
1.76E−006
0.038935
5.126788139



macropain) activator subunit 1



(PA28 alpha)


204620_s_at
chondroitin sulfate proteoglycan
6.0654142
1.77E−006
0.0391098
5.120383055



2 (versican)


220990_s_at
transmembrane protein 49 ///
6.0647884
1.77E−006
0.0391726
5.13407909



microRNA 21


214022_s_at
interferon induced
−6.053528
1.82E−006
0.0403497
5.105034551



transmembrane protein 1 (9-27)


202932_at
v-yes-1 Yamaguchi sarcoma
−6.020191
1.99E−006
0.0440529
5.003651416



viral oncogene homolog 1


31826_at
KIAA0674
6.0122705
2.03E−006
0.0449807
4.995084148


218615_s_at
transmembrane protein 39A
6.0037925
2.08E−006
0.0459958
4.979344825


202192_s_at
growth arrest-specific 7
5.9982522
2.11E−006
0.046671
4.960463643


210915_x_at
T cell receptor beta variable 19
−5.995374
2.12E−006
0.0470247
4.958787768



/// T cell receptor beta constant 1


204116_at
interleukin 2 receptor, gamma
−5.991858
2.14E−006
0.0474609
4.934872705



(severe combined



immunodeficiency)


213275_x_at
cathepsin B
5.9916022
2.14E−006
0.0474908
4.931225528


205590_at
RAS guanyl releasing protein 1
−5.976124
2.23E−006
0.0494691
4.913421176



(calcium and DAG-regulated)





{circumflex over ( )}Probe set ID number is the Affymetrix ID number on the HU133A array.


*Moderated t-statistic. This has the same interpretation as an ordinary t-statistic except that the standard errors have been moderated across genes, i.e., shrunk towards a common value, using a simple Bayesian model. Positive t-statistic indicates that the gene is upregulated following hemorrhagic stroke. Negative t-statistic indicates that the gene is downregulated following hemorrhagic stroke.



$P-value uncorrected p value




#Adjusted p-value is the corrected value after correction for multitple comparisons using the Holm method.




@The B-statistic (lods or B) is the log-odds that the gene is differentially expressed.







The PAM list of 30 genes (37 gene probes; Table 5) was generated from the shrunken centroid approach in the index cohort and used to classify stroke in the first test cohort. The ranking was obtained from the statistical evaluation of the individual genes.









TABLE 5







ICH PAM Gene List with Putated Pathophysiological Classes









PAM




No.
Probe set ID{circumflex over ( )}
Gene Name










Acute Inflammatory Response









 6
NM_004244
CD163 molecule


16
NM_001736
Complement component 5a receptor 1


19
NM_004668
Maltase-glucoamylase (alpha-glucosidase) /// similar to




Maltase-glucoamylase, intestinal


29
NM_004566
6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 3







Cell Adhesion









 2
NM_021122
Acyl-CoA synthetase long-chain family member 1


21
NM_021599
ADAM metallopeptidase with thrombospondin type 1 motif, 2







Suppression of Immune Response









 1
NM_004633
Interleukin 1 receptor, type II


 3
NM_007268
V-set and immunoglobulin domain containing 4


 4*
NM_001706
B-cell CLL/lymphoma 6 (zinc finger protein 51)


 7*
M15565
T cell receptor alpha locus /// T cell receptor delta variable 2




/// T cell receptor alpha variable 20 /// T cell receptor alpha




constant


 10*
NM_004585
Retinoic acid receptor responder (tazarotene induced) 3


 15*
NM_018384
GTPase, IMAP family member 5


 18*
NM_005317
Granzyme M (lymphocyte met-ase 1)


 23*
NM_014034
ASF1 anti-silencing function 1 homolog A (S. cerevisiae)


25
NM_003749
Insulin receptor substrate 2


 28*
NM_002001
Fc fragment of IgE, high affinity I, receptor for; alpha polypeptide







Hypoxia









20
NM_006931
Solute carrier family 2 (facilitated glucose transporter),




member 3







Hematoma/Vascular Repair Response









 9
NM_004054
Complement component 3a receptor 1


11
NM_016021
Ubiquitin-conjugating enzyme E2, J1 (UBC6 homolog,




yeast)


12
NM_005461
v-maf musculoaponeurotic fibrosarcoma oncogene homolog




B (avian)


14
NM_004504
HIV-1 Rev binding protein /// region containing




hypothetical protein LOC285086; HIV-1 Rev binding




protein


17
NM_006343
c-mer proto-oncogene tyrosine kinase


27
NM_000130
Coagulation factor V (proaccelerin, labile factor)


30
NM_020995
Haptoglobin /// haptoglobin-related protein







Response to the Altered Cerebral Microenvironment









13
NM_001635
Amphiphysin (Stiff-Man syndrome with breast cancer




128 kDa autoantigen)







Signal Transduction/Uncertain









 5
NM_025195
Tribbles homolog 1 (Drosophila)


 8
NM_018404
Centaurin, alpha 2


22
NM_000104
Cytochrome P450, family 1, subfamily B, polypeptide 1


 24*
NM_030915
Hypothetical protein DKFZp566J091 /// similar to




hypothetical protein DKFZp566J091 /// similar to




hypothetical protein


26
NM_015136
Stabilin 1





{circumflex over ( )}probe set ID number is the Affymetrix ID number on the HU133A affay.


*Genes down-regulated in ICH relative to the referent group; the remaining genes were up-regulated in ICH.


NB: not all gene functions are as yet fully understood.






Tables 6-8 show the results of the hemorrhage versus ischemic stroke (HI lists) using the false discovery rate (FDR) (Table 6), Holm (Table 7), or PAM correction (Table 8). There were 483 (FDR), 27 (Holm), or 380 (PAM) gene probes that were significantly different between hemorrhage and control, representing 446, 28, and 316 genes, respectively. The differential expression of these genes indicates the presence of mechanisms to inactivate and to slow down white cell activation and differentiation.


After multiple comparison correction (MCC) using FDR correction, 483 gene probes, corresponding to 446 genes were found to be significantly different (Table 6). As shown in Table 6, several genes were upregulated (positive T-statistic, such as a value that is at least 3.6) or downregulated (negative t-statistic, such as a value that is less than −3.6) following a hemorrhagic stroke.









TABLE 6







Hemorrhagic stroke related-genes using FDR correction and


comparison to IS subjects.












Probe Set



Adjusted



ID{circumflex over ( )}
Gene Name
t-statistic*
P Value$
P Value#
B@















205257_s_at
amphiphysin (Stiff-Man
14.975963
6.99E−15
1.56E−010
20.7629274



syndrome with breast cancer



128 kDa autoantigen)


211372_s_at
interleukin 1 receptor, type II
10.712554
2.10E−011
2.34E−007
14.82446351


216233_at
CD163 molecule
9.737206
1.75E−010
1.30E−006
12.88835863


214535_s_at
ADAM metallopeptidase
8.4530582
3.46E−009
1.54E−005
10.50746674



with thrombospondin type 1



motif, 2


221011_s_at
hypothetical protein
−8.515744
2.98E−009
1.54E−005
10.70166657



DKFZp566J091 ///



hypothetical protein



DKFZp566J091 /// similar to



hypothetical protein



DKFZp566J091 /// similar to



hypothetical protein



DKFZp566J091


206028_s_at
c-mer proto-oncogene
8.2851019
5.20E−009
1.93E−005
10.25765534



tyrosine kinase


205403_at
interleukin 1 receptor, type II
7.6873216
2.27E−008
7.24E−005
9.05172448


218494_s_at
SLC2A4 regulator
−7.333288
5.57E−008
0.0001551
8.265256103


205396_at
SMAD, mothers against DPP
−7.227747
7.29E−008
0.0001806
8.021975608



homolog 3 (Drosophila)


205484_at
signaling threshold regulating
−7.018339
1.25E−007
0.000255
7.53111354



transmembrane adaptor 1


204116_at
interleukin 2 receptor,
−7.015854
1.26E−007
0.000255
7.521746309



gamma (severe combined



immunodeficiency)


218813_s_at
SH3-domain GRB2-like
−6.94035
1.53E−007
0.0002624
7.368885163



endophilin B2


218615_s_at
transmembrane protein 39A
6.9645637
1.44E−007
0.0002624
7.302004604


209671_x_at
T cell receptor alpha locus ///
−6.753733
2.49E−007
0.0003963
6.8625403



T cell receptor alpha locus ///



T cell receptor alpha constant



/// T cell receptor alpha



constant


213805_at
abhydrolase domain
6.71886
2.73E−007
0.0004053
6.807097433



containing 5


208611_s_at
spectrin, alpha, non-
−6.67564
3.06E−007
0.0004256
6.685920872



erythrocytic 1 (alpha-fodrin)


208602_x_at
CD6 molecule
−6.604865
3.68E−007
0.0004806
6.552492682


221688_s_at
IMP3, U3 small nucleolar
−6.584643
3.88E−007
0.0004806
6.468878576



ribonucleoprotein, homolog



(yeast)


213275_x_at
cathepsin B
6.4800111
5.12E−007
0.0005701
6.240830095


202499_s_at
solute carrier family 2
6.4812483
5.10E−007
0.0005701
6.188901235



(facilitated glucose



transporter), member 3


218866_s_at
polymerase (RNA) III (DNA
−6.410061
6.16E−007
0.0006535
5.994655791



directed) polypeptide K, 12.3 kDa


215049_x_at
CD163 molecule
6.3394666
7.43E−007
0.0007197
5.872838463


211734_s_at
Fc fragment of IgE, high
−6.35615
7.11E−007
0.0007197
5.759237554



affinity I, receptor for; alpha



polypeptide /// Fc fragment



of IgE, high affinity I,



receptor for; alpha



polypeptide


218805_at
GTPase, IMAP family
−6.236583
9.77E−007
0.0008709
5.638421367



member 5 /// GTPase, IMAP



family member 5


211893_x_at
CD6 molecule
−6.245476
9.54E−007
0.0008709
5.68152223


203392_s_at
C-terminal binding protein 1
−6.037307
1.67E−006
0.0014275
5.141550008


202191_s_at
growth arrest-specific 7
6.0036117
1.82E−006
0.0015049
5.046148265


217119_s_at
chemokine (C—X—C motif)
−5.922251
2.27E−006
0.0018063
4.858914423



receptor 3


207485_x_at
butyrophilin, subfamily 3,
−5.852698
2.74E−006
0.0021037
4.692097613



member A1


206025_s_at
tumor necrosis factor, alpha-
5.8296612
2.91E−006
0.002164
4.546600129



induced protein 6


209163_at
cytochrome b-561
−5.806405
3.10E−006
0.00223
4.575944433


215235_at
Spectrin, alpha, non-
−5.790736
3.24E−006
0.0022538
4.518417015



erythrocytic 1 (alpha-fodrin)


37652_at
calcineurin binding protein 1
−5.770015
3.42E−006
0.0022576
4.491015302


211628_x_at
ferritin, heavy polypeptide
5.7676869
3.44E−006
0.0022576
4.47546201



pseudogene 1 /// ferritin,



heavy polypeptide



pseudogene 1


206100_at
carboxypeptidase M
5.7319817
3.79E−006
0.002263
4.367654765


202964_s_at
regulatory factor X, 5
−5.709916
4.03E−006
0.002263
4.330720664



(influences HLA class II



expression)


218689_at
Fanconi anemia,
−5.706747
4.06E−006
0.002263
4.322616624



complementation group F


217991_x_at
single stranded DNA binding
−5.755493
3.56E−006
0.002263
4.439714989



protein 3


216442_x_at
fibronectin 1
5.7225944
3.89E−006
0.002263
4.333587406


200644_at
MARCKS-like 1
−5.714933
3.97E−006
0.002263
4.332208376


204446_s_at
arachidonate 5-lipoxygenase
5.6741338
4.44E−006
0.0024117
4.243000963


212114_at
hypothetical LOC552889
−5.651779
4.71E−006
0.0025014
4.184857541


218342_s_at
KIAA1815
−5.599329
5.44E−006
0.0025052
4.053204843


205456_at
CD3e molecule, epsilon
−5.586956
5.62E−006
0.0025052
4.025205549



(CD3-TCR complex)


206674_at
fms-related tyrosine kinase 3
5.6074524
5.32E−006
0.0025052
4.064813729


213958_at
CD6 molecule /// CD6
−5.622575
5.10E−006
0.0025052
4.104754729



molecule


217763_s_at
RAB31, member RAS
5.6052473
5.35E−006
0.0025052
4.049252269



oncogene family


212259_s_at
pre-B-cell leukemia
−5.593187
5.53E−006
0.0025052
4.044003635



transcription factor



interacting protein 1


204699_s_at
chromosome 1 open reading
−5.588481
5.60E−006
0.0025052
4.023513761



frame 107


214049_x_at
CD7 molecule
−5.589243
5.59E−006
0.0025052
4.033206881


202523_s_at
sparc/osteonectin, cwcv and
−5.563828
5.99E−006
0.002565
3.968512677



kazal-like domains



proteoglycan (testican) 2


205888_s_at
janus kinase and microtubule
−5.569139
5.90E−006
0.002565
3.967342998



interacting protein 2 ///



myelin transcription factor 1-



like


221937_at
CDNA FLJ34482 fis, clone
−5.552571
6.17E−006
0.0025947
3.916108112



HLUNG2004067


212888_at
Dicer1, Dcr-1 homolog
5.5438219
6.32E−006
0.0026079
3.915198554



(Drosophila)


204362_at
src family associated
5.5222821
6.70E−006
0.0026196
3.861457206



phosphoprotein 2


220088_at
complement component 5a
5.5323249
6.52E−006
0.0026196
3.884326856



receptor 1


212658_at
lipoma HMGIC fusion
5.5231286
6.69E−006
0.0026196
3.82684045



partner-like 2


218402_s_at
Hermansky-Pudlak syndrome 4
−5.50108
7.10E−006
0.0027272
3.792709125


208644_at
poly (ADP-ribose)
−5.467293
7.78E−006
0.0028909
3.710285612



polymerase family, member 1


201991_s_at
kinesin family member 5B ///
5.4571556
8.00E−006
0.0028909
3.696501649



immediate early response 2


201785_at
ribonuclease, RNase A
5.4266367
8.69E−006
0.0028909
3.591472965



family, 1 (pancreatic)


213274_s_at
cathepsin B
5.4299799
8.61E−006
0.0028909
3.620367389


210915_x_at
T cell receptor beta variable
−5.445797
8.25E−006
0.0028909
3.643846693



19 /// T cell receptor beta



constant 1


218865_at
MOCO sulphurase C-
5.4290539
8.64E−006
0.0028909
3.599777398



terminal domain containing 1


38487_at
stabilin 1
5.4530577
8.09E−006
0.0028909
3.675376285


201109_s_at
thrombospondin 1
5.4287715
8.64E−006
0.0028909
3.619786242


218600_at
LIM domain containing 2
−5.431841
8.57E−006
0.0028909
3.632836189


207460_at
granzyme M (lymphocyte
−5.384832
9.74E−006
0.0031918
3.506924838



met-ase 1)


202436_s_at
cytochrome P450, family 1,
5.3669918
1.02E−005
0.0033022
3.465418187



subfamily B, polypeptide 1


209154_at
Tax1 (human T-cell leukemia
5.3376298
1.11E−005
0.0035262
3.393044034



virus type I) binding protein 3


210968_s_at
reticulon 4
5.3206717
1.16E−005
0.003641
3.346020743


202880_s_at
pleckstrin homology, Sec7
−5.305509
1.21E−005
0.003742
3.303783051



and coiled-coil domains



1(cytohesin 1)


200919_at
polyhomeotic-like 2
5.2969148
1.24E−005
0.0037782
3.273511465



(Drosophila)


207433_at
interleukin 10
5.2675667
1.34E−005
0.0040378
3.198157953


218092_s_at
HIV-1 Rev binding protein ///
5.2534916
1.39E−005
0.0040854
3.157401509



region containing



hypothetical protein



LOC285086; HIV-1 Rev



binding protein


215127_s_at
RNA binding motif, single
5.2549129
1.39E−005
0.0040854
3.183246082



stranded interacting protein 1



/// chromosome 2 open



reading frame 12 /// region



containing chromosome 2



open reading frame 12; RNA



binding motif, single



stranded interacting protein 1


213622_at
collagen, type IX, alpha 2
−5.234239
1.47E−005
0.0042498
3.130282812


64064_at
GTPase, IMAP family
−5.204148
1.59E−005
0.0044968
3.054172752



member 5


202479_s_at
tribbles homolog 2
−5.206314
1.58E−005
0.0044968
3.05899879



(Drosophila)


218328_at
coenzyme Q4 homolog (S. cerevisiae)
−5.196191
1.63E−005
0.0045381
3.033875386


218871_x_at
chondroitin sulfate
5.1847882
1.68E−005
0.0046237
3.004991701



GalNAcT-2


203828_s_at
interleukin 32 /// interleukin
−5.163169
1.78E−005
0.004845
2.946319633



32


210985_s_at
SP100 nuclear antigen
5.0964818
2.14E−005
0.0057428
2.779851237


204768_s_at
flap structure-specific
−5.078538
2.25E−005
0.0059595
2.734696971



endonuclease 1


206181_at
signaling lymphocytic
−5.068667
2.31E−005
0.00598
2.709663481



activation molecule family



member 1


202931_x_at
bridging integrator 1
−5.071661
2.29E−005
0.00598
2.71321811


204861_s_at
baculoviral IAP repeat-
5.0456785
2.46E−005
0.0060846
2.651407007



containing 1 /// similar to



Baculoviral IAP repeat-



containing protein 1



(Neuronal apoptosis



inhibitory protein)


213193_x_at
T cell receptor beta variable
−5.046633
2.45E−005
0.0060846
2.647005328



19 /// T cell receptor beta



variable 19 /// T cell receptor



beta constant 1 /// T cell



receptor beta constant 1


204140_at
tyrosylprotein
5.0502371
2.43E−005
0.0060846
2.650095058



sulfotransferase 1


208304_at
chemokine (C-C motif)
−5.049961
2.43E−005
0.0060846
2.661145479



receptor 3


221602_s_at
Fas apoptotic inhibitory
−5.025333
2.60E−005
0.0062926
2.598353681



molecule 3 /// Fas apoptotic



inhibitory molecule 3


211902_x_at
T cell receptor alpha locus
−5.026903
2.59E−005
0.0062926
2.603796518


206335_at
galactosamine (N-acetyl)-6-
5.0177249
2.65E−005
0.0063557
2.577144281



sulfate sulfatase (Morquio



syndrome,



mucopolysaccharidosis type



IVA)


204971_at
cystatin A (stefin A)
4.9962548
2.81E−005
0.006668
2.525788373


213107_at
TRAF2 and NCK interacting
−4.987247
2.88E−005
0.0067622
2.500803335



kinase


216133_at
T cell receptor alpha locus
−4.967461
3.04E−005
0.0069907
2.453159884


208709_s_at
nardilysin (N-arginine
4.969361
3.03E−005
0.0069907
2.457708459



dibasic convertase)


209570_s_at
DNA segment on
−4.960273
3.10E−005
0.0070566
2.433586736



chromosome 4 (unique) 234



expressed sequence


202730_s_at
programmed cell death 4
−4.955701
3.14E−005
0.0070731
2.422354409



(neoplastic transformation



inhibitor)


217957_at
chromosome 16 open reading
−4.945286
3.23E−005
0.0071332
2.396869242



frame 80


218685_s_at
single-strand-selective
4.9459068
3.23E−005
0.0071332
2.398570464



monofunctional uracil-DNA



glycosylase 1


200953_s_at
cyclin D2
−4.928398
3.39E−005
0.0071898
2.35417029


204787_at
V-set and immunoglobulin
4.9247091
3.42E−005
0.0071898
2.343885219



domain containing 4


219809_at
WD repeat domain 55
−4.932335
3.35E−005
0.0071898
2.362263324


204460_s_at
RAD1 homolog (S. pombe)
−4.934145
3.33E−005
0.0071898
2.368885367


208686_s_at
bromodomain containing 2
−4.928024
3.39E−005
0.0071898
2.349607531


213078_x_at
1-acylglycerol-3-phosphate
−4.904068
3.62E−005
0.0074661
2.292881888



O-acyltransferase 7



(lysophosphatidic acid



acyltransferase, eta)


221811_at
per1-like domain containing 1
−4.905078
3.61E−005
0.0074661
2.2948526


213444_at
hypothetical protein
−4.890559
3.75E−005
0.0076758
2.258785295



LOC643641


200998_s_at
cytoskeleton-associated
4.8819424
3.84E−005
0.0077872
2.237004762



protein 4


202694_at
serine/threonine kinase 17a
−4.863093
4.05E−005
0.0081249
2.186146729



(apoptosis-inducing)


201283_s_at
trafficking protein, kinesin
4.8530582
4.16E−005
0.0082761
2.163769161



binding 1


203751_x_at
jun D proto-oncogene
−4.848441
4.21E−005
0.008307
2.149596198


206099_at
protein kinase C, eta
−4.838764
4.33E−005
0.0083812
2.127958815


212464_s_at
fibronectin 1
4.8392298
4.32E−005
0.0083812
2.128955463


214177_s_at
pre-B-cell leukemia
−4.835538
4.36E−005
0.0083825
2.119523059



transcription factor



interacting protein 1


201557_at
vesicle-associated membrane
−4.831628
4.41E−005
0.0084001
2.107009666



protein 2 (synaptobrevin 2)


221893_s_at
aarF domain containing
−4.801951
4.78E−005
0.0090322
2.031162299



kinase 2


213539_at
CD3d molecule, delta (CD3-
−4.787434
4.98E−005
0.0092876
1.998617882



TCR complex)


206170_at
adrenergic, beta-2-, receptor,
−4.785587
5.00E−005
0.0092876
1.987559985



surface


221249_s_at
family with sequence
−4.777379
5.12E−005
0.0094197
1.971226037



similarity 117, member A ///



family with sequence



similarity 117, member A


201935_s_at
eukaryotic translation
4.7711051
5.20E−005
0.0095039
1.953370101



initiation factor 4 gamma, 3


204852_s_at
protein tyrosine phosphatase,
−4.767225
5.26E−005
0.009527
1.944747197



non-receptor type 7


203887_s_at
thrombomodulin
4.7398428
5.67E−005
0.0099677
1.876175854


208361_s_at
polymerase (RNA) III (DNA
−4.738944
5.68E−005
0.0099677
1.875057617



directed) polypeptide D,



44 kDa


219207_at
enhancer of mRNA
−4.739895
5.67E−005
0.0099677
1.876596065



decapping 3 homolog (S. cerevisiae)


204730_at
regulating synaptic
−4.739609
5.67E−005
0.0099677
1.875078253



membrane exocytosis 3


203611_at
telomeric repeat binding
−4.734063
5.76E−005
0.0100225
1.857637447



factor 2


208591_s_at
phosphodiesterase 3B,
−4.710967
6.13E−005
0.010592
1.800739865



cGMP-inhibited


210202_s_at
bridging integrator 1
−4.667609
6.90E−005
0.0110257
1.695480391


215646_s_at
chondroitin sulfate
4.6817028
6.64E−005
0.0110257
1.730262924



proteoglycan 2 (versican) ///



chondroitin sulfate



proteoglycan 2 (versican)


209663_s_at
integrin, alpha 7
4.6731631
6.80E−005
0.0110257
1.711874895


201110_s_at
thrombospondin 1
4.6732479
6.80E−005
0.0110257
1.706741634


203547_at
CD4 molecule /// CD4
−4.685996
6.56E−005
0.0110257
1.743145893



molecule


211711_s_at
phosphatase and tensin
4.6662725
6.93E−005
0.0110257
1.690191217



homolog (mutated in



multiple advanced cancers 1)



/// phosphatase and tensin



homolog (mutated in



multiple advanced cancers 1)


209827_s_at
interleukin 16 (lymphocyte
−4.669241
6.87E−005
0.0110257
1.702124982



chemoattractant factor)


213812_s_at
calcium/calmodulin-
4.6701242
6.85E−005
0.0110257
1.6983144



dependent protein kinase



kinase 2, beta


217891_at
chromosome 16 open reading
−4.683736
6.60E−005
0.0110257
1.729480573



frame 58


218559_s_at
v-maf musculoaponeurotic
4.6797903
6.68E−005
0.0110257
1.720156399



fibrosarcoma oncogene



homolog B (avian)


213079_at
TSR2, 20S rRNA
−4.680972
6.65E−005
0.0110257
1.729047731



accumulation, homolog (S. cerevisiae)


215761_at
Dmx-like 2
4.6626878
7.00E−005
0.0110551
1.681331225


201294_s_at
WD repeat and SOCS box-
4.6523386
7.20E−005
0.0112916
1.659128684



containing 1


218367_x_at
ubiquitin specific peptidase
−4.648163
7.28E−005
0.0113411
1.647062445



21


210972_x_at
T cell receptor alpha locus ///
−4.630054
7.65E−005
0.0118325
1.595348487



T cell receptor delta variable



2 /// T cell receptor alpha



variable 20 /// T cell receptor



alpha constant


200952_s_at
cyclin D2
−4.621284
7.83E−005
0.0120353
1.571234703


201361_at
transmembrane protein 109
−4.618119
7.90E−005
0.0120373
1.569927468


207347_at
excision repair cross-
−4.6162
7.94E−005
0.0120373
1.561743434



complementing rodent repair



deficiency, complementation



group 6


201709_s_at
nipsnap homolog 1 (C. elegans)
−4.60624
8.16E−005
0.0122851
1.535280231


218466_at
TBC1 domain family,
−4.597874
8.35E−005
0.0124841
1.510604461



member 17


213689_x_at
Ribosomal protein L5
−4.592234
8.48E−005
0.012593
1.501959271


205681_at
BCL2-related protein A1
4.589087
8.55E−005
0.0126173
1.500196962


213572_s_at
serpin peptidase inhibitor,
4.585417
8.64E−005
0.0126603
1.490007576



clade B (ovalbumin),



member 1


219715_s_at
tyrosyl-DNA
−4.577109
8.83E−005
0.0127906
1.458594073



phosphodiesterase 1


211941_s_at
phosphatidylethanolamine
−4.576864
8.84E−005
0.0127906
1.471399883



binding protein 1


212747_at
ankyrin repeat and sterile
4.5738191
8.91E−005
0.0128139
1.455791519



alpha motif domain



containing 1A


210243_s_at
UDP-Gal:betaGlcNAc beta
−4.556171
9.35E−005
0.01316
1.408640624



1,4-galactosyltransferase,



polypeptide 3


211936_at
heat shock 70 kDa protein 5
4.5532167
9.43E−005
0.01316
1.40095313



(glucose-regulated protein,



78 kDa)


207838_x_at
pre-B-cell leukemia
−4.556
9.36E−005
0.01316
1.403361394



transcription factor



interacting protein 1


203645_s_at
CD163 molecule
4.5508475
9.49E−005
0.01316
1.395886119


205598_at
TRAF interacting protein
4.5500975
9.51E−005
0.01316
1.396685547


203428_s_at
ASF1 anti-silencing function
−4.559797
9.26E−005
0.01316
1.421413806



1 homolog A (S. cerevisiae)


209546_s_at
apolipoprotein L, 1
−4.538782
9.81E−005
0.0134881
1.357788032


201189_s_at
inositol 1,4,5-triphosphate
−4.530502
0.0001003
0.0137111
1.354606409



receptor, type 3


206271_at
toll-like receptor 3
−4.521199
0.0001029
0.0139771
1.316875162


209409_at
growth factor receptor-bound
4.5115037
0.0001056
0.014182
1.308934426



protein 10


203747_at
aquaporin 3 (Gill blood
−4.5114
0.0001057
0.014182
1.2884238



group)


214022_s_at
interferon induced
−4.503533
0.0001079
0.0144021
1.287129364



transmembrane protein 1 (9-



27)


213817_at
CDNA FLJ13601 fis, clone
4.5011241
0.0001086
0.0144106
1.266737499



PLACE1010069


218133_s_at
NIF3 NGG1 interacting
−4.493705
0.0001109
0.0146175
1.260831487



factor 3-like 1 (S. pombe)


209508_x_at
CASP8 and FADD-like
4.4843314
0.0001137
0.0149069
1.221866586



apoptosis regulator ///



CASP8 and FADD-like



apoptosis regulator


204070_at
retinoic acid receptor
−4.478979
0.0001154
0.0150371
1.210867441



responder (tazarotene



induced) 3


218620_s_at
HemK methyltransferase
−4.472243
0.0001175
0.0152261
1.20381234



family member 1


202743_at
phosphoinositide-3-kinase,
−4.466616
0.0001193
0.0153716
1.181228916



regulatory subunit 3 (p55,



gamma)


210495_x_at
fibronectin 1
4.464238
0.0001201
0.0153824
1.176619284


220299_at
spermatogenesis associated 6
4.459989
0.0001215
0.0154723
1.158131959


212017_at
hypothetical protein
−4.455862
0.0001229
0.015558
1.15769254



LOC130074


205775_at
family with sequence
−4.444741
0.0001267
0.0157699
1.134986188



similarity 50, member B


211900_x_at
CD6 molecule
−4.444671
0.0001267
0.0157699
1.116737561


214877_at
CDK5 regulatory subunit
−4.448146
0.0001255
0.0157699
1.132845939



associated protein 1-like 1


205603_s_at
diaphanous homolog 2
4.4350343
0.00013
0.0160088
1.096361835



(Drosophila)


215001_s_at
glutamate-ammonia ligase
4.433024
0.0001308
0.0160088
1.09074053



(glutamine synthetase)


212400_at
family with sequence
−4.434852
0.0001301
0.0160088
1.100438265



similarity 102, member A


202747_s_at
integral membrane protein
−4.427383
0.0001328
0.0160794
1.083439154



2A


213587_s_at
ATPase, H+ transporting V0
−4.429166
0.0001321
0.0160794
1.09280248



subunit E2-like (rat)


201185_at
HtrA serine peptidase 1
4.4223939
0.0001346
0.0161236
1.087068097


203674_at
helicase with zinc finger
4.4226665
0.0001345
0.0161236
1.063318956


212144_at
unc-84 homolog B (C. elegans)
−4.420401
0.0001353
0.0161245
1.063721092


204890_s_at
lymphocyte-specific protein
−4.413172
0.000138
0.0163568
1.058240482



tyrosine kinase


203265_s_at
mitogen-activated protein
−4.407301
0.0001402
0.0165319
1.033787005



kinase kinase 4


221804_s_at
family with sequence
4.399421
0.0001433
0.0168006
1.013176243



similarity 45, member B ///



family with sequence



similarity 45, member A


211571_s_at
chondroitin sulfate
4.3908505
0.0001466
0.0171062
1.004946838



proteoglycan 2 (versican)


219988_s_at
chromosome 1 open reading
−4.388658
0.0001475
0.0171187
0.978540081



frame 164


201717_at
mitochondrial ribosomal
−4.372909
0.0001539
0.0172903
0.941661842



protein L49


208829_at
TAP binding protein
−4.378401
0.0001517
0.0172903
0.954879686



(tapasin)


211796_s_at
T cell receptor beta variable
−4.380038
0.000151
0.0172903
0.977041216



21-1 /// T cell receptor beta



variable 19 /// T cell receptor



beta variable 5-4 /// T cell



receptor beta variable 3-1 ///



T cell receptor beta constant 1


221325_at
potassium channel, subfamily
4.3699453
0.0001552
0.0172903
0.942547754



K, member 13


41644_at
SAM and SH3 domain
4.3744041
0.0001533
0.0172903
0.964958746



containing 1


210038_at
protein kinase C, theta
−4.374494
0.0001533
0.0172903
0.969885936


204925_at
cystinosis, nephropathic
4.3810979
0.0001506
0.0172903
0.98280358


210166_at
toll-like receptor 5
4.370998
0.0001547
0.0172903
0.949179511


202917_s_at
S100 calcium binding protein
4.3637294
0.0001578
0.0174969
0.929743182



A8 (calgranulin A)


204908_s_at
B-cell CLL/lymphoma 3
4.3586482
0.00016
0.017652
0.903624485


206207_at
Charcot-Leyden crystal
−4.346141
0.0001655
0.0176728
0.888625097



protein /// Charcot-Leyden



crystal protein


200599_s_at
heat shock protein 90 kDa
4.3405109
0.0001681
0.0176728
0.854446089



beta (Grp94), member 1


213778_x_at
zinc finger protein 276
−4.340402
0.0001681
0.0176728
0.861261704


210517_s_at
A kinase (PRKA) anchor
−4.34106
0.0001678
0.0176728
0.859500941



protein (gravin) 12


218454_at
hypothetical protein
4.3550338
0.0001616
0.0176728
0.904304182



FLJ22662


203140_at
B-cell CLL/lymphoma 6
4.3450185
0.000166
0.0176728
0.871019511



(zinc finger protein 51) /// B-



cell CLL/lymphoma 6 (zinc



finger protein 51)


200057_s_at
non-POU domain containing,
−4.346887
0.0001652
0.0176728
0.88320629



octamer-binding /// non-POU



domain containing, octamer-



binding


213229_at
Dicer1, Dcr-1 homolog
4.3474835
0.0001649
0.0176728
0.877171318



(Drosophila)


207428_x_at
cell division cycle 2-like 1
−4.350843
0.0001634
0.0176728
0.882919048



(PITSLRE proteins)


213988_s_at
spermidine/spermine N1-
4.3507687
0.0001635
0.0176728
0.886572778



acetyltransferase 1


204150_at
stabilin 1
4.334514
0.0001708
0.0177698
0.856325129


200675_at
CD81 molecule
−4.333828
0.0001712
0.0177698
0.851775218


221519_at
F-box and WD-40 domain
−4.333201
0.0001715
0.0177698
0.860433931



protein 4


221610_s_at
signal-transducing adaptor
4.3293676
0.0001732
0.0178723
0.83885944



protein-2


205745_x_at
ADAM metallopeptidase
4.32695
0.0001744
0.0179069
0.823378731



domain 17 (tumor necrosis



factor, alpha, converting



enzyme)


220386_s_at
echinoderm microtubule
−4.316855
0.0001792
0.0180706
0.803413006



associated protein like 4


202621_at
interferon regulatory factor 3
−4.31958
0.0001779
0.0180706
0.806149427


203556_at
zinc fingers and homeoboxes 2
−4.32148
0.000177
0.0180706
0.833182794


201561_s_at
calsyntenin 1
−4.317668
0.0001788
0.0180706
0.81157157


217552_x_at
complement component
4.3146165
0.0001803
0.0180987
0.809684654



(3b/4b) receptor 1 (Knops



blood group)


206662_at
glutaredoxin
4.2962876
0.0001895
0.0189285
0.752114887



(thioltransferase)


203956_at
MORC family CW-type zinc
−4.291476
0.000192
0.0189285
0.742158497



finger 2


218043_s_at
5-azacytidine induced 2
4.2924838
0.0001915
0.0189285
0.737577647


202464_s_at
6-phosphofructo-2-
4.2917202
0.0001919
0.0189285
0.729065572



kinase/fructose-2,6-



biphosphatase 3


205119_s_at
formyl peptide receptor 1 ///
4.2883385
0.0001936
0.0189575
0.747259094



formyl peptide receptor 1


220684_at
T-box 21
−4.287658
0.000194
0.0189575
0.72011433


218323_at
ras homolog gene family,
4.2837373
0.000196
0.0190762
0.723842895



member T1


206026_s_at
tumor necrosis factor, alpha-
4.2782985
0.000199
0.019275
0.734046121



induced protein 6


217774_s_at
hypothetical protein
−4.276277
0.0002
0.0192969
0.69862666



HSPC152


209504_s_at
pleckstrin homology domain
−4.271353
0.0002027
0.0194715
0.68575459



containing, family B



(evectins) member 1


221658_s_at
interleukin 21 receptor
−4.26704
0.0002051
0.0195702
0.684477646


205027_s_at
mitogen-activated protein
4.2663136
0.0002055
0.0195702
0.667758676



kinase kinase kinase 8


208141_s_at
deoxyhypusine
−4.246833
0.0002166
0.0205415
0.624881393



hydroxylase/monooxygenase


216705_s_at
adenosine deaminase
−4.240822
0.0002202
0.0207897
0.627297384


207556_s_at
diacylglycerol kinase, zeta
−4.234852
0.0002238
0.0209504
0.593023687



104 kDa


210039_s_at
protein kinase C, theta
−4.235346
0.0002235
0.0209504
0.601633662


204031_s_at
poly(rC) binding protein 2
−4.227464
0.0002283
0.0210842
0.598729627


219622_at
RAB20, member RAS
4.2263317
0.000229
0.0210842
0.578985349



oncogene family


212171_x_at
vascular endothelial growth
4.2272519
0.0002284
0.0210842
0.58151039



factor


214219_x_at
mitogen-activated protein
−4.228186
0.0002278
0.0210842
0.591854364



kinase kinase kinase kinase 1


213261_at
lupus brain antigen 1
−4.219214
0.0002334
0.0214053
0.555151583


202459_s_at
lipin 2
−4.211581
0.0002383
0.0217618
0.527731801


202872_at
ATPase, H+ transporting,
4.201101
0.0002451
0.0222953
0.533194426



lysosomal 42 kDa, V1 subunit



C1


218372_at
mediator of RNA polymerase
−4.197807
0.0002473
0.0224031
0.504980508



II transcription, subunit 9



homolog (S. cerevisiae)


218250_s_at
CCR4-NOT transcription
−4.193976
0.0002499
0.0225443
0.506291173



complex, subunit 7


208959_s_at
thioredoxin domain
4.1909732
0.0002519
0.0226134
0.49087302



containing 4 (endoplasmic



reticulum)


204045_at
transcription elongation
−4.189856
0.0002527
0.0226134
0.507340016



factor A (SII)-like 1


203846_at
tripartite motif-containing 32
−4.183559
0.000257
0.0229091
0.463736175


210201_x_at
bridging integrator 1
−4.177284
0.0002614
0.0231362
0.460702626


205425_at
huntingtin interacting protein 1
4.1769515
0.0002616
0.0231362
0.469009904


201555_at
MCM3 minichromosome
−4.168572
0.0002676
0.0232804
0.432832347



maintenance deficient 3 (S. cerevisiae)


206061_s_at
Dicer1, Dcr-1 homolog
4.1719164
0.0002652
0.0232804
0.438363066



(Drosophila)


204683_at
intercellular adhesion
−4.164289
0.0002707
0.0232804
0.423015046



molecule 2


213218_at
zinc finger protein 187
−4.170657
0.0002661
0.0232804
0.426234481


200707_at
protein kinase C substrate
−4.163854
0.0002711
0.0232804
0.411710809



80K-H


200941_at
heat shock factor binding
4.1616413
0.0002727
0.0232804
0.407850451



protein 1


206053_at
zinc finger protein 510
−4.167219
0.0002686
0.0232804
0.417971932


214971_s_at
ST6 beta-galactosamide
−4.162897
0.0002718
0.0232804
0.423445105



alpha-2,6-sialyltranferase 1


205349_at
guanine nucleotide binding
4.1688761
0.0002674
0.0232804
0.461078912



protein (G protein), alpha 15



(Gq class)


204646_at
dihydropyrimidine
4.1588683
0.0002747
0.0233656
0.40894219



dehydrogenase


219133_at
3-oxoacyl-ACP synthase,
−4.156085
0.0002768
0.0233706
0.418569087



mitochondrial


202626_s_at
v-yes-1 Yamaguchi sarcoma
4.1559692
0.0002769
0.0233706
0.399893823



viral related oncogene



homolog /// v-yes-1



Yamaguchi sarcoma viral



related oncogene homolog


204900_x_at
Sin3A-associated protein,
4.1464433
0.0002841
0.0238881
0.376280988



30 kDa


202537_s_at
chromatin modifying protein
4.1361638
0.0002921
0.024182
0.341960991



2B


217815_at
suppressor of Ty 16 homolog
−4.138862
0.00029
0.024182
0.363534725



(S. cerevisiae)


203548_s_at
lipoprotein lipase
4.1349694
0.000293
0.024182
0.36999773


221818_at
integrator complex subunit 5
−4.136004
0.0002922
0.024182
0.346903905


210681_s_at
ubiquitin specific peptidase
4.1381723
0.0002905
0.024182
0.356142615



15


209710_at
GATA binding protein 2
−4.128679
0.000298
0.0245046
0.32613342


212355_at
KIAA0323
−4.12548
0.0003006
0.0245356
0.324273542


212722_s_at
phosphatidylserine receptor
4.1264637
0.0002998
0.0245356
0.332085323


214958_s_at
transmembrane channel-like 6
−4.12397
0.0003018
0.0245456
0.330470069


209603_at
GATA binding protein 3
−4.12156
0.0003038
0.0246157
0.304194358


209969_s_at
signal transducer and
−4.119215
0.0003057
0.0246819
0.306207408



activator of transcription 1,



91 kDa


218754_at
nucleolar protein 9
−4.10818
0.0003149
0.0252432
0.273787689


214756_x_at
postmeiotic segregation
−4.108296
0.0003148
0.0252432
0.276643584



increased 2-like 1


201344_at
ubiquitin-conjugating
4.1024994
0.0003198
0.025449
0.258365265



enzyme E2D 2 (UBC4/5



homolog, yeast)


202731_at
programmed cell death 4
−4.103329
0.0003191
0.025449
0.284601931



(neoplastic transformation



inhibitor)


211648_at
Immunoglobulin heavy
4.0944945
0.0003267
0.0258982
0.248883337



constant gamma 1 (G1m



marker) /// Immunoglobulin



heavy constant gamma 1



(G1m marker)


215346_at
CD40 molecule, TNF
−4.092313
0.0003287
0.0258982
0.240544537



receptor superfamily member 5


203066_at
B cell RAG associated
4.0920359
0.0003289
0.0258982
0.25311067



protein


209537_at
exostoses (multiple)-like 2
−4.077792
0.0003418
0.0266273
0.203023498


219159_s_at
SLAM family member 7
−4.080316
0.0003394
0.0266273
0.222709614


216969_s_at
kinesin family member 22
−4.07853
0.0003411
0.0266273
0.193535217


220387_s_at
HERV-H LTR-associating 3
−4.073605
0.0003456
0.0268348
0.20425335


201779_s_at
ring finger protein 13
4.0679281
0.0003509
0.0269746
0.175231198


200093_s_at
histidine triad nucleotide
−4.070374
0.0003486
0.0269746
0.19881709



binding protein 1 /// histidine



triad nucleotide binding



protein 1


207489_at
hypothetical protein
4.0678029
0.0003511
0.0269746
0.176979585



FLJ12331


218927_s_at
carbohydrate (chondroitin 4)
−4.064101
0.0003546
0.0270063
0.165293021



sulfotransferase 12


209426_s_at
alpha-methylacyl-CoA
−4.063537
0.0003551
0.0270063
0.171629407



racemase


209755_at
nicotinamide nucleotide
4.0653812
0.0003534
0.0270063
0.185557441



adenylyltransferase 2


204112_s_at
histamine N-
4.0608161
0.0003577
0.0271119
0.171906051



methyltransferase


207515_s_at
polymerase (RNA) I
−4.056624
0.0003618
0.027309
0.156342731



polypeptide C, 30 kDa


213688_at
calmodulin 1 (phosphorylase
−4.055596
0.0003628
0.027309
0.142794242



kinase, delta)


52285_f_at
centrosomal protein 76 kDa
−4.052297
0.000366
0.0274593
0.140854405


212813_at
junctional adhesion molecule 3
4.0470772
0.0003712
0.027471
0.138852612


209311_at
BCL2-like 2
4.0474557
0.0003708
0.027471
0.122347222


207525_s_at
GIPC PDZ domain
−4.049586
0.0003687
0.027471
0.126101887



containing family, member 1


212914_at
chromobox homolog 7
−4.046636
0.0003716
0.027471
0.133686568


204327_s_at
zinc finger protein 202
−4.04592
0.0003723
0.027471
0.14997588


208842_s_at
golgi reassembly stacking
−4.03977
0.0003785
0.0278362
0.111199985



protein 2, 55 kDa


212064_x_at
MYC-associated zinc finger
−4.034684
0.0003837
0.0280338
0.09579129



protein (purine-binding



transcription factor)


212126_at
CDNA clone
−4.034963
0.0003834
0.0280338
0.108591742



IMAGE: 4842353


204676_at
chromosome 16 open reading
−4.027684
0.000391
0.0284269
0.086194587



frame 51


220631_at
O-sialoglycoprotein
−4.027059
0.0003916
0.0284269
0.090819836



endopeptidase-like 1


211033_s_at
peroxisomal biogenesis
−4.023656
0.0003952
0.028428
0.066578881



factor 7 /// peroxisomal



biogenesis factor 7


215500_at
similar to RIKEN cDNA
4.0244786
0.0003944
0.028428
0.083250954



4933437K13


220418_at
intraflagellar transport 52
−4.023419
0.0003955
0.028428
0.077567049



homolog (Chlamydomonas)



/// ubiquitin associated and



SH3 domain containing, A


205928_at
zinc finger protein 443
−4.01962
0.0003995
0.0286268
0.064655088


205831_at
CD2 molecule /// CD2
−4.01401
0.0004056
0.0288751
0.05806134



molecule


213315_x_at
chromosome X open reading
−4.014765
0.0004048
0.0288751
0.052859156



frame 40A


209497_s_at
RNA binding motif protein
−4.012089
0.0004077
0.0289317
0.044594049



4B


216873_s_at
ATPase, Class I, type 8B,
−4.008088
0.0004121
0.0291509
0.043302344



member 2


205539_at
advillin
4.0029224
0.0004178
0.0294638
0.031523988


216212_s_at
dyskeratosis congenita 1,
−3.994598
0.0004273
0.0297517
0.010360566



dyskerin


219358_s_at
centaurin, alpha 2
3.9973106
0.0004242
0.0297517
−0.008807446


218109_s_at
major facilitator superfamily
3.9951674
0.0004266
0.0297517
0.001722182



domain containing 1


206296_x_at
mitogen-activated protein
−3.994793
0.000427
0.0297517
−0.001302101



kinase kinase kinase kinase 1


217762_s_at
RAB31, member RAS
3.9933458
0.0004287
0.0297587
−0.004464026



oncogene family


202846_s_at
phosphatidylinositol glycan
−3.990974
0.0004314
0.0298554
−0.014964062



anchor biosynthesis, class C


201002_s_at
ubiquitin-conjugating
−3.983794
0.0004398
0.0303374
−0.016321939



enzyme E2 variant 1 ///



ubiquitin-conjugating



enzyme E2 variant 1


222115_x_at
cytokine-like nuclear factor
−3.982681
0.0004411
0.0303374
−0.027366086



n-pac


217391_x_at

3.980629
0.0004435
0.0304107
−0.037631483


41220_at
septin 9
−3.979069
0.0004454
0.0304443
−0.021180025


208970_s_at
SMAD, mothers against DPP
3.9729852
0.0004527
0.0308495
−0.054689218



homolog 3 (Drosophila) ///



uroporphyrinogen



decarboxylase


214828_s_at
similar to CGI-96
−3.967178
0.0004598
0.0312371
−0.081021288


218091_at
HIV-1 Rev binding protein ///
3.9632708
0.0004646
0.0312793
−0.061456168



region containing



hypothetical protein



LOC285086; HIV-1 Rev



binding protein


210754_s_at
v-yes-1 Yamaguchi sarcoma
3.963821
0.000464
0.0312793
−0.084845468



viral related oncogene



homolog


219541_at
Lck interacting
−3.964165
0.0004635
0.0312793
−0.080576597



transmembrane adaptor 1


210216_x_at
RAD1 homolog (S. pombe)
−3.959257
0.0004696
0.0313329
−0.09463497


204393_s_at
acid phosphatase, prostate
3.9605081
0.0004681
0.0313329
−0.095402516


204442_x_at
latent transforming growth
−3.959723
0.0004691
0.0313329
−0.099902777



factor beta binding protein 4


207583_at
ATP-binding cassette, sub-
−3.951658
0.0004793
0.0317859
−0.114546044



family D (ALD), member 2


222126_at
HIV-1 Rev binding protein-
−3.952247
0.0004785
0.0317859
−0.116910646



like


218319_at
pellino homolog 1
3.9454397
0.0004873
0.0318448
−0.136966432



(Drosophila)


212589_at
Sterol carrier protein 2
−3.948873
0.0004829
0.0318448
−0.115344056


205707_at
interleukin 17 receptor A
3.9465168
0.0004859
0.0318448
−0.108165828


208185_x_at

3.9484589
0.0004834
0.0318448
−0.121055823


211950_at
zinc finger, UBR1 type 1
3.945484
0.0004873
0.0318448
−0.11985623


210825_s_at
phosphatidylethanolamine
−3.94408
0.0004891
0.0318589
−0.095532326



binding protein 1


201115_at
polymerase (DNA directed),
−3.941516
0.0004925
0.0318589
−0.131001694



delta 2, regulatory subunit



50 kDa


204960_at
protein tyrosine phosphatase,
−3.942208
0.0004916
0.0318589
−0.113534623



receptor type, C-associated



protein


214326_x_at
jun D proto-oncogene
−3.940911
0.0004933
0.0318589
−0.145668928


213042_s_at
ATPase, Ca++ transporting,
−3.936716
0.0004988
0.0320323
−0.157152656



ubiquitous


213006_at
CCAAT/enhancer binding
3.9369089
0.0004986
0.0320323
−0.130899193



protein (C/EBP), delta


47530_at
chromosome 9 open reading
−3.934343
0.000502
0.0320813
−0.158976205



frame 156


210512_s_at
vascular endothelial growth
3.9339929
0.0005025
0.0320813
−0.149581669



factor


210422_x_at
solute carrier family 11
3.9294917
0.0005085
0.0323766
−0.14310151



(proton-coupled divalent



metal ion transporters),



member 1


209286_at
CDC42 effector protein (Rho
3.9265457
0.0005126
0.0325394
−0.163682739



GTPase binding) 3


219068_x_at
ATPase family, AAA domain
−3.924785
0.000515
0.0325998
−0.162373165



containing 3A


200845_s_at
peroxiredoxin 6
3.9159249
0.0005273
0.0332856
−0.20431199


203988_s_at
fucosyltransferase 8 (alpha
−3.912827
0.0005317
0.0334671
−0.199059775



(1,6) fucosyltransferase)


203683_s_at
vascular endothelial growth
−3.909987
0.0005357
0.0336267
−0.195981447



factor B


209354_at
tumor necrosis factor
−3.907402
0.0005394
0.0337643
−0.21662648



receptor superfamily,



member 14 (herpesvirus



entry mediator)


217635_s_at
polymerase (DNA directed),
−3.904003
0.0005443
0.0339764
−0.232121769



gamma


211339_s_at
IL2-inducible T-cell kinase
−3.901629
0.0005478
0.0340782
−0.206828361


203482_at
chromosome 10 open reading
−3.900787
0.000549
0.0340782
−0.242686951



frame 6


209156_s_at
collagen, type VI, alpha 2
−3.897256
0.0005542
0.034305
−0.251559356


213285_at
transmembrane protein 30B
−3.894317
0.0005586
0.0343839
−0.238535141


217791_s_at
aldehyde dehydrogenase 18
−3.894507
0.0005583
0.0343839
−0.255323498



family, member A1


215754_at
scavenger receptor class B,
3.8860504
0.000571
0.0350532
−0.275987004



member 2


203047_at
serine/threonine kinase 10
−3.883114
0.0005755
0.0352314
−0.279759302


210116_at
SH2 domain protein 1A,
−3.880086
0.0005802
0.0354195
−0.255134188



Duncan's disease



(lymphoproliferative



syndrome)


214125_s_at
Neuron derived neurotrophic
−3.876791
0.0005853
0.0354462
−0.289727884



factor


212023_s_at
antigen identified by
−3.876825
0.0005852
0.0354462
−0.286680948



monoclonal antibody Ki-67


209616_s_at
carboxylesterase 1
3.8767312
0.0005854
0.0354462
−0.292084222



(monocyte/macrophage



serine esterase 1)


202073_at
optineurin
−3.875272
0.0005877
0.0354878
−0.285403549


221731_x_at
chondroitin sulfate
3.8609447
0.0006105
0.0365704
−0.330808767



proteoglycan 2 (versican)


212613_at
butyrophilin, subfamily 3,
−3.862766
0.0006076
0.0365704
−0.330570695



member A2


214339_s_at
mitogen-activated protein
−3.861586
0.0006095
0.0365704
−0.320110777



kinase kinase kinase kinase 1


202135_s_at
ARP1 actin-related protein 1
−3.852512
0.0006244
0.0372003
−0.359346618



homolog B, centractin beta



(yeast)


211152_s_at
HtrA serine peptidase 2
−3.852533
0.0006243
0.0372003
−0.35602825


207351_s_at
SH2 domain protein 2A
−3.851459
0.0006261
0.0372052
−0.366540306


AFFX-
signal transducer and
−3.850283
0.0006281
0.0372224
−0.365134087


HUMISGF3A/
activator of transcription 1,


M97935_MA_at
91 kDa


209434_s_at
phosphoribosyl
−3.848344
0.0006313
0.0372721
−0.369082504



pyrophosphate



amidotransferase


204173_at
myosin, light polypeptide 6B,
3.8463196
0.0006347
0.0372721
−0.363345319



alkali, smooth muscle and



non-muscle


201998_at
ST6 beta-galactosamide
−3.847461
0.0006328
0.0372721
−0.337176917



alpha-2,6-sialyltranferase 1


216843_x_at
postmeiotic segregation
−3.845803
0.0006356
0.0372721
−0.367585906



increased 2-like 1


202625_at
v-yes-1 Yamaguchi sarcoma
3.8445294
0.0006378
0.0372809
−0.379578446



viral related oncogene



homolog /// v-yes-1



Yamaguchi sarcoma viral



related oncogene homolog


202497_x_at
solute carrier family 2
3.8427574
0.0006408
0.0372809
−0.33433002



(facilitated glucose



transporter), member 3


206714_at
arachidonate 15-
3.8430539
0.0006403
0.0372809
−0.362033812



lipoxygenase, type B


204128_s_at
replication factor C (activator
−3.841715
0.0006426
0.037287
−0.372724167



1) 3, 38 kDa


215796_at
T-cell receptor active alpha-
−3.838028
0.0006489
0.0374114
−0.400204002



chain V-region (V-J-C)



mRNA, partial cds, clone



AG212


204572_s_at
protein (peptidylprolyl
−3.838347
0.0006483
0.0374114
−0.401933215



cis/trans isomerase) NIMA-



interacting, 4 (parvulin)


214908_s_at
transformation/transcription
−3.836564
0.0006514
0.0374114
−0.391154844



domain-associated protein


217821_s_at
WW domain binding protein
−3.837195
0.0006503
0.0374114
−0.404526892



11


211794_at
FYN binding protein (FYB-
3.8340346
0.0006558
0.0375384
−0.399834274



120/130)


214439_x_at
bridging integrator 1
−3.833354
0.000657
0.0375384
−0.397155838


213353_at
ATP-binding cassette, sub-
−3.829942
0.000663
0.0377835
−0.356092576



family A (ABC1), member 5


214530_x_at
erythrocyte membrane
−3.828885
0.0006649
0.0377931
−0.41604328



protein band 4.1



(elliptocytosis 1, RH-linked)


204985_s_at
trafficking protein particle
−3.826231
0.0006696
0.0379636
−0.385827346



complex 6A


201951_at
activated leukocyte cell
3.8224735
0.0006763
0.0382009
−0.435681891



adhesion molecule


212263_at
quaking homolog, KH
3.8210222
0.0006789
0.0382009
−0.441662788



domain RNA binding



(mouse)


217969_at
chromosome 11 open reading
−3.82165
0.0006778
0.0382009
−0.424792327



frame2


208808_s_at
high-mobility group box 2
3.8192885
0.000682
0.0382805
−0.443258871


201411_s_at
pleckstrin homology domain
3.8121453
0.0006951
0.0387025
−0.444049065



containing, family B



(evectins) member 2


211914_x_at
neurofibromin 1
3.8114314
0.0006964
0.0387025
−0.461956408



(neurofibromatosis, von



Recklinghausen disease,



Watson disease) ///



neurofibromin 1



(neurofibromatosis, von



Recklinghausen disease,



Watson disease)


220001_at
peptidyl arginine deiminase,
3.8106552
0.0006978
0.0387025
−0.443505201



type IV


220155_s_at
bromodomain containing 9
−3.809596
0.0006998
0.0387025
−0.456574514


202624_s_at
calcineurin binding protein 1
−3.81021
0.0006987
0.0387025
−0.469611909


202150_s_at
neural precursor cell
−3.809509
0.0007
0.0387025
−0.44189728



expressed, developmentally



down-regulated 9


217381_s_at
T cell receptor gamma
−3.80848
0.0007019
0.0387122
−0.46847961



variable 5 /// hypothetical



protein LOC648852


212723_at
phosphatidylserine receptor
3.8062119
0.0007061
0.0388498
−0.479127975


219383_at
hypothetical protein
−3.796882
0.0007238
0.0389768
−0.500819992



FLJ14213


201369_s_at
zinc finger protein 36, C3H
−3.796696
0.0007242
0.0389768
−0.490238808



type-like 2


217985_s_at
bromodomain adjacent to
3.8035661
0.0007111
0.0389768
−0.487528654



zinc finger domain, 1A


201661_s_at
acyl-CoA synthetase long-
3.8021203
0.0007138
0.0389768
−0.491456065



chain family member 3


201601_x_at
interferon induced
−3.796901
0.0007238
0.0389768
−0.484034883



transmembrane protein 1 (9-27)


220034_at
interleukin-1 receptor-
3.7972108
0.0007232
0.0389768
−0.498328947



associated kinase 3


202739_s_at
phosphorylase kinase, beta
3.7982853
0.0007211
0.0389768
−0.490460156


212094_at
paternally expressed 10
−3.80208
0.0007139
0.0389768
−0.478413746


218217_at
serine carboxypeptidase 1
3.8009907
0.000716
0.0389768
−0.477198569


214390_s_at
branched chain
3.7890009
0.0007391
0.0396844
−0.484386105



aminotransferase 1, cytosolic


201188_s_at
inositol 1,4,5-triphosphate
−3.785887
0.0007452
0.0399171
−0.51545757



receptor, type 3


208831_x_at
suppressor of Ty 6 homolog
−3.780085
0.0007568
0.0404383
−0.502670551



(S. cerevisiae)


202208_s_at
ADP-ribosylation factor-like
−3.778858
0.0007592
0.040473
−0.504582473



4C


222148_s_at
ras homolog gene family,
3.7750684
0.0007669
0.0407838
−0.538642793



member T1


204891_s_at
lymphocyte-specific protein
−3.771732
0.0007737
0.0410478
−0.526449904



tyrosine kinase


217947_at
CKLF-like MARVEL
3.7649198
0.0007878
0.0416956
−0.565292502



transmembrane domain



containing 6


209565_at
ring finger protein 113A
−3.760506
0.000797
0.041887
−0.584342956


201921_at
guanine nucleotide binding
3.7608345
0.0007963
0.041887
−0.575062313



protein (G protein), gamma



10 /// hypothetical protein



LOC552891 /// GNG10



pseudogene


211856_x_at
CD28 molecule
−3.761964
0.000794
0.041887
−0.589027345


206039_at
RAB33A, member RAS
−3.759074
0.0008001
0.0419472
−0.585075087



oncogene family


202192_s_at
growth arrest-specific 7
3.7575204
0.0008033
0.0420211
−0.568609359


217421_at
piwi-like 2 (Drosophila)
3.7536741
0.0008116
0.042056
−0.599493208


217473_x_at
solute carrier family 11
3.7551697
0.0008084
0.042056
−0.561255747



(proton-coupled divalent



metal ion transporters),



member 1


219125_s_at
recombination activating
−3.755061
0.0008086
0.042056
−0.606773906



gene 1 activating protein 1


202435_s_at
cytochrome P450, family 1,
3.7544251
0.00081
0.042056
−0.598408605



subfamily B, polypeptide 1


217328_at
Protease, serine, 1 (trypsin 1)
−3.752362
0.0008144
0.0421044
−0.586497887


211067_s_at
growth arrest-specific 7 ///
3.7500978
0.0008193
0.0421616
−0.592937929



growth arrest-specific 7


212772_s_at
ATP-binding cassette, sub-
−3.75094
0.0008175
0.0421616
−0.597470148



family A (ABC1), member 2


201971_s_at
ATPase, H+ transporting,
3.7484271
0.0008229
0.0422507
−0.582559368



lysosomal 70 kDa, V1 subunit A


203297_s_at
Jumonji, AT rich interactive
3.7466006
0.0008269
0.0423577
−0.618887474



domain 2


212082_s_at
myosin, light polypeptide 6,
3.7413518
0.0008384
0.0426702
−0.638012205



alkali, smooth muscle and



non-muscle


212316_at
nucleoporin 210 kDa
−3.742284
0.0008364
0.0426702
−0.625770215


202039_at
TGFB1-induced anti-
−3.741221
0.0008387
0.0426702
−0.620447968



apoptotic factor 1 /// myosin



XVIIIA


213198_at
activin A receptor, type IB
3.7369379
0.0008483
0.042773
−0.62607927


211316_x_at
CASP8 and FADD-like
3.7379973
0.0008459
0.042773
−0.646108656



apoptosis regulator


215313_x_at
major histocompatibility
−3.736735
0.0008487
0.042773
−0.636234404



complex, class I, A


209446_s_at
chromosome 7 open reading
3.7360149
0.0008504
0.042773
−0.631120386



frame 44


218150_at
ADP-ribosylation factor-like
3.7364786
0.0008493
0.042773
−0.638696549



5A


204860_s_at
baculoviral IAP repeat-
3.7317847
0.0008599
0.0431564
−0.646735279



containing 1 /// similar to



Baculoviral IAP repeat-



containing protein 1



(Neuronal apoptosis



inhibitory protein) /// similar



to Baculoviral IAP repeat-



containing protein 1



(Neuronal apoptosis



inhibitory protein)


204619_s_at
chondroitin sulfate
3.72927
0.0008656
0.0433464
−0.656075159



proteoglycan 2 (versican)


201677_at
Chromosome 3 open reading
−3.728121
0.0008683
0.0433806
−0.673304821



frame 37


202932_at
v-yes-1 Yamaguchi sarcoma
−3.726647
0.0008717
0.0433811
−0.664383959



viral oncogene homolog 1


211841_s_at
tumor necrosis factor
−3.726423
0.0008722
0.0433811
−0.675139954



receptor superfamily,



member 25


209173_at
anterior gradient 2 homolog
3.725149
0.0008751
0.0434304
−0.65418982



(Xenopus laevis)


202570_s_at
discs, large (Drosophila)
3.7225989
0.000881
0.0436266
−0.662592397



homolog-associated protein 4


211594_s_at
mitochondrial ribosomal
−3.71579
0.000897
0.0443194
−0.689958857



protein L9 /// mitochondrial



ribosomal protein L9


218084_x_at
FXYD domain containing
−3.711432
0.0009074
0.0444954
−0.691534168



ion transport regulator 5


207590_s_at
centromere protein I
−3.710838
0.0009088
0.0444954
−0.686579571


203293_s_at
lectin, mannose-binding, 1
−3.71011
0.0009106
0.0444954
−0.678123352


209026_x_at
tubulin, beta
−3.711747
0.0009066
0.0444954
−0.695581501


205541_s_at
G1 to S phase transition 2 ///
−3.711401
0.0009075
0.0444954
−0.687044345



G1 to S phase transition 2


205652_s_at
tubulin tyrosine ligase-like
−3.701274
0.000932
0.0449283
−0.69485195



family, member 1


208199_s_at
zinc finger protein 161
−3.701156
0.0009323
0.0449283
−0.739570191



homolog (mouse)


214452_at
branched chain
3.7038226
0.0009258
0.0449283
−0.662431636



aminotransferase 1, cytosolic


205050_s_at
mitogen-activated protein
−3.705111
0.0009226
0.0449283
−0.726134729



kinase 8 interacting protein 2


217270_s_at
dual-specificity tyrosine-(Y)-
−3.702839
0.0009282
0.0449283
−0.713090932



phosphorylation regulated



kinase 1B


201093_x_at
succinate dehydrogenase
−3.700663
0.0009335
0.0449283
−0.728740051



complex, subunit A,



flavoprotein (Fp)


212575_at
chromosome 19 open reading
−3.702288
0.0009295
0.0449283
−0.721469223



frame 6


217322_x_at

−3.692308
0.0009543
0.0458297
−0.752867335


212934_at
hypothetical protein
3.6900358
0.00096
0.0460058
−0.739440735



LOC137886


210095_s_at
insulin-like growth factor
−3.684731
0.0009736
0.0461856
−0.76631001



binding protein 3


203489_at
CD27-binding (Siva) protein
−3.684495
0.0009742
0.0461856
−0.771305084


202727_s_at
interferon gamma receptor 1
3.6870365
0.0009677
0.0461856
−0.757780699


202556_s_at
microspherule protein 1
−3.68587
0.0009706
0.0461856
−0.768725021


202725_at
polymerase (RNA) II (DNA
−3.684549
0.000974
0.0461856
−0.763280163



directed) polypeptide A,



220 kDa


216885_s_at
WD repeat domain 42A
−3.681171
0.0009827
0.0464929
−0.778461472


205726_at
diaphanous homolog 2
3.6750662
0.0009987
0.047146
−0.781925661



(Drosophila)


201220_x_at
C-terminal binding protein 2
3.6729085
0.0010043
0.0473143
−0.784485981


200839_s_at
cathepsin B
3.6698829
0.0010124
0.0475919
−0.767004526


209575_at
interleukin 10 receptor, beta
3.6685673
0.0010159
0.0476564
−0.809494026


218908_at
alveolar soft part sarcoma
−3.660231
0.0010384
0.0486107
−0.836123189



chromosome region,



candidate 1


222173_s_at
TBC1 domain family,
3.6557402
0.0010507
0.0490849
−0.808895577



member 2


219843_at
intracisternal A particle-
−3.65418
0.0010551
0.0491835
−0.84256988



promoted polypeptide


222043_at
clusterin
3.6521802
0.0010606
0.0492944
−0.85080773


216525_x_at
postmeiotic segregation
−3.650357
0.0010657
0.0492944
−0.857002971



increased 2-like 3


202800_at
solute carrier family 1 (glial
3.6501531
0.0010663
0.0492944
−0.826807271



high affinity glutamate



transporter), member 3


211913_s_at
c-mer proto-oncogene
3.6508587
0.0010643
0.0492944
−0.833924169



tyrosine kinase /// c-mer



proto-oncogene tyrosine



kinase


49306_at
Ras association
3.6444617
0.0010823
0.0499334
−0.86192015



(RalGDS/AF-6) domain



family 4





{circumflex over ( )}Probe set ID number is the Affymetrix ID number on the HU133A array.


* Moderated t-statistic. This has the same interpretation as an ordinary t-statistic except that the standard errors have been moderated across genes, i.e., shrunk towards a common value, using a simple Bayesian model. Positive t-statistic indicates that the gene is upregulated following hemorrhagic stroke. Negative t-statistic indicates that the gene is downregulated following hemorrhagic stroke.



$P-value uncorrected p value




#Adjusted p-value is the corrected value after correction for multitple comparisons using the FDR method.




@The B-statistic (lods or B) is the log-odds that the gene is differentially expressed.







After multiple comparison correction (MCC) using Holm correction, 27 gene probes, corresponding to 25 genes were found to be significantly different (Table 7). As shown in Table 7, several genes were upregulated (positive T-statistic, such as a value that is at least 6) or downregulated (negative t-statistic, such as a value that is less than −6) following a hemorrhagic stroke.









TABLE 7







Hemorrhagic stroke related-genes using Holm correction and


comparison to IS subjects.












Probe Set

t-

Adjusted



ID{circumflex over ( )}
Gene Name
statistic*
P Value$
P Value#
B@















205257_s_at
amphiphysin (Stiff-Man
14.975963
6.99E−015
1.56E−010
20.7629274



syndrome with breast cancer



128 kDa autoantigen)


211372_s_at
interleukin 1 receptor, type
10.712554
2.10E−011
4.68E−007
14.82446351



II


216233_at
CD163 molecule
9.737206
1.75E−010
3.91E−006
12.88835863


221011_s_at
hypothetical protein
−8.515744
2.98E−009
6.64E−005
10.70166657



DKFZp566J091 ///



hypothetical protein



DKFZp566J091 /// similar



to hypothetical protein



DKFZp566J091 /// similar



to hypothetical protein



DKFZp566J091


214535_s_at
ADAM metallopeptidase
8.4530582
3.46E−009
7.72E−005
10.50746674



with thrombospondin type 1



motif, 2


206028_s_at
c-mer proto-oncogene
8.2851019
5.20E−009
0.0001159
10.25765534



tyrosine kinase


205403_at
interleukin 1 receptor, type
7.6873216
2.27E−008
0.0005067
9.05172448



II


218494_s_at
SLC2A4 regulator
−7.333288
5.57E−008
0.0012403
8.265256103


205396_at
SMAD, mothers against
−7.227747
7.29E−008
0.0016244
8.021975608



DPP homolog 3



(Drosophila)


205484_at
signaling threshold
−7.018339
1.25E−007
0.0027856
7.53111354



regulating transmembrane



adaptor 1


204116_at
interleukin 2 receptor,
−7.015854
1.26E−007
0.0028034
7.521746309



gamma (severe combined



immunodeficiency)


218615_s_at
transmembrane protein 39A
6.9645637
1.44E−007
0.0032017
7.302004604


218813_s_at
SH3-domain GRB2-like
−6.94035
1.53E−007
0.0034093
7.368885163



endophilin B2


209671_x_at
T cell receptor alpha locus
−6.753733
2.49E−007
0.0055453
6.8625403



/// T cell receptor alpha



locus /// T cell receptor



alpha constant /// T cell



receptor alpha constant


213805_at
abhydrolase domain
6.71886
2.73E−007
0.0060754
6.807097433



containing 5


208611_s_at
spectrin, alpha, non-
−6.67564
3.06E−007
0.0068044
6.685920872



erythrocytic 1 (alpha-fodrin)


208602_x_at
CD6 molecule
−6.604865
3.68E−007
0.0081957
6.552492682


221688_s_at
IMP3, U3 small nucleolar
−6.584643
3.88E−007
0.0086437
6.468878576



ribonucleoprotein, homolog



(yeast)


202499_s_at
solute carrier family 2
6.4812483
5.10E−007
0.0113561
6.188901235



(facilitated glucose



transporter), member 3


213275_x_at
cathepsin B
6.4800111
5.12E−007
0.0113928
6.240830095


218866_s_at
polymerase (RNA) III
−6.410061
6.16E−007
0.0137114
5.994655791



(DNA directed) polypeptide



K, 12.3 kDa


211734_s_at
Fc fragment of IgE, high
−6.35615
7.11E−007
0.0158204
5.759237554



affinity I, receptor for; alpha



polypeptide


215049_x_at
CD163 molecule
6.3394666
7.43E−007
0.0165371
5.872838463


211893_x_at
CD6 molecule
−6.245476
9.54E−007
0.0212397
5.68152223


218805_at
GTPase, IMAP family
−6.236583
9.77E−007
0.0217486
5.638421367



member 5\


203392_s_at
C-terminal binding protein 1
−6.037307
1.67E−006
0.037074
5.141550008


202191_s_at
growth arrest-specific 7
6.0036117
1.82E−006
0.0405844
5.046148265





{circumflex over ( )}Probe set ID number is the Affymetrix ID number on the HU133A array.


*Moderated t-statistic. This has the same interpretation as an ordinary t-statistic except that the standard errors have been moderated across genes, i.e., shrunk towards a common value, using a simple Bayesian model. Positive t-statistic indicates that the gene is upregulated following hemorrhagic stroke. Negative t-statistic indicates that the gene is downregulated following hemorrhagic stroke.



$P-value uncorrected p value




#Adjusted p-value is the corrected value after correction for multitple comparisons using the Holm method.




@The B-statistic (lods or B) is the log-odds that the gene is differentially expressed.







After multiple comparison correction (MCC) using PAM correction (shrunken centroid algorithm), 380 gene probes, corresponding to 316 genes were found to be significantly different (Table 8). The two numeric values for each gene shown in Table 8 were generated from the shrunken centroid algorithm technique, and provide an indication of the strength of each gene for the classification of hemorrhagic stroke/ischemic stroke in the dataset, and therefore identifies genes (or proteins) which distinguish best between the disease and control conditions. As shown in Table 8, several genes provide a significant ability to differentiate control from hemorrhagic stroke subjects. The data shown in Table 8 was obtained using the subjects described in Example 1, as well as an additional subject who had an ICH as the result of trauma, not stroke.









TABLE 8







Hemorrhagic stroke related-genes using PAM correction and comparison to


IS subjects.










Probe Set ID{circumflex over ( )}
Gene Name
1-score
2-score













205403_at
interleukin 1 receptor, type II
−0.3392
0.7161


211372_s_at
interleukin 1 receptor, type II
−0.3105
0.6554


211893_x_at
CD6 antigen
0.2733
−0.577


206025_s_at
tumor necrosis factor, alpha-induced protein 6
−0.2433
0.5137


205456_at
CD3E antigen, epsilon polypeptide (TiT3 complex)
0.213
−0.4496


211734_s_at
Fc fragment of IgE, high affinity I, receptor for; alpha
0.2116
−0.4468



polypeptide


204116_at
interleukin 2 receptor, gamma (severe combined
0.2051
−0.4329



immunodeficiency)


221011_s_at
likely ortholog of mouse limb-bud and heart gene
0.205
−0.4327


218494_s_at
SLC2A4 regulator
0.2049
−0.4325


218813_s_at
SH3-domain GRB2-like endophilin B2
0.2017
−0.4257


212259_s_at
pre-B-cell leukemia transcription factor interacting
0.1991
−0.4202



protein 1


214551_s_at
CD7 antigen (p41)
0.1935
−0.4085


205257_s_at
amphiphysin (Stiff-Man syndrome with breast cancer
−0.1879
0.3968



128 kDa autoantigen)


202464_s_at
6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 3
−0.1786
0.3771


208602_x_at
CD6 antigen
0.1742
−0.3678


206026_s_at
tumor necrosis factor, alpha-induced protein 6
−0.1686
0.3559


218805_at
GTPase, IMAP family member 5
0.1653
−0.3489


214049_x_at
CD7 antigen (p41)
0.1649
−0.348


202499_s_at
solute carrier family 2 (facilitated glucose
−0.1638
0.3459



transporter), member 3


205027_s_at
mitogen-activated protein kinase kinase kinase 8
−0.16
0.3379


202478_at
tribbles homolog 2 (Drosophila)
0.158
−0.3335


210972_x_at
T cell receptor alpha locus
0.1575
−0.3325


64064_at
GTPase, IMAP family member 5
0.1517
−0.3202


221602_s_at
Fas apoptotic inhibitory molecule 3
0.1492
−0.315


213817_at
MRNA; cDNA DKLFZp586B0220 (from clone
−0.146
0.3082



DKFZp586B0220)


206028_s_at
c-mer proto-oncogene tyrosine kinase
−0.1443
0.3047


218871_x_at
chondroitin sulfate GalNAcT-2
−0.1421
0.3001


201110_s_at
thrombospondin 1
−0.1391
0.2937


209671_x_at
T cell receptor alpha locus
0.1349
−0.2848


201963_at
acyl-CoA synthetase long-chain family member 1
−0.1311
0.2767


206100_at
carboxypeptidase M
−0.126
0.2659


211902_x_at
T cell receptor alpha locus
0.1252
−0.2643


213275_x_at
cathepsin B
−0.1234
0.2604


215049_x_at
CD163 antigen
−0.123
0.2596


208611_s_at
spectrin, alpha, non-erythrocytic 1 (alpha-fodrin)
0.1209
−0.2552


200953_s_at
cyclin D2
0.1209
−0.2551


201109_s_at
thrombospondin 1
−0.1208
0.255


211900_x_at
CD6 antigen
0.1199
−0.2532


206674_at
fms-related tyrosine kinase 3
−0.1199
0.2531


202437_s_at
cytochrome P450, family 1, subfamily B, polypeptide 1
−0.1181
0.2492


204861_s_at
baculoviral IAP repeat-containing 1
−0.118
0.2492


214535_s_at
ADAM metallopeptidase with thrombospondin type 1
−0.1177
0.2485



motif, 2


207838_x_at
pre-B-cell leukemia transcription factor interacting
0.1151
−0.243



protein 1


220684_at
T-box 21
0.1145
−0.2418


37652_at
calcineurin binding protein 1
0.1123
−0.2371


206207_at
Charcot-Leyden crystal protein
0.1121
−0.2368


204787_at
V-set and immunoglobulin domain containing 4
−0.1117
0.2358


205484_at
signaling threshold regulating transmembrane adaptor 1
0.1111
−0.2346


220034_at
interleukin-1 receptor-associated kinase 3
−0.1111
0.2345


204446_s_at
arachidonate 5-lipoxygenase
−0.1101
0.2324


210146_x_at
leukocyte immunoglobulin-like receptor, subfamily B
−0.1092
0.2305



(with TM and ITIM domains), member 2


206170_at
adrenergic, beta-2-, receptor, surface
0.1076
−0.2272


208304_at
chemokine (C-C motif) receptor 3
0.107
−0.226


201921_at
guanine nucleotide binding protein (G protein),
−0.1043
0.2202



gamma 10


202436_s_at
cytochrome P450, family 1, subfamily B, polypeptide 1
−0.1034
0.2184


220088_at
complement component 5 receptor 1 (C5a ligand)
−0.103
0.2174


212400_at
chromosome 9 open reading frame 132
0.1029
−0.2171


202523_s_at
sparc/osteonectin, cwcv and kazal-like domains
0.1021
−0.2156



proteoglycan (testican) 2


218092_s_at
HIV-1 Rev binding protein
−0.1015
0.2143


203140_at
B-cell CLL/lymphoma 6 (zinc finger protein 51)
−0.101
0.2132


213193_x_at
T cell receptor beta variable 19
0.1005
−0.2122


218600_at
hypothetical protein MGC10986
0.1
−0.2112


209409_at
growth factor receptor-bound protein 10
−0.0989
0.2088


217739_s_at
pre-B-cell colony enhancing factor 1
−0.0989
0.2087


210915_x_at
T cell receptor beta variable 19
0.0984
−0.2077


210202_s_at
bridging integrator 1
0.0982
−0.2072


206980_s_at
fms-related tyrosine kinase 3 ligand
0.0975
−0.2059


204900_x_at
sin3-associated polypeptide, 30 kDa
−0.097
0.2047


217738_at
pre-B-cell colony enhancing factor 1
−0.0966
0.204


202524_s_at
sparc/osteonectin, cwcv and kazal-like domains
0.0935
−0.1974



proteoglycan (testican) 2


213539_at
CD3D antigen, delta polypeptide (TiT3 complex)
0.0926
−0.1955


213805_at
abhydrolase domain containing 5
−0.0923
0.1948


213229_at
Dicer1, Dcr-1 homolog (Drosophila)
−0.0919
0.1939


203645_s_at
CD163 antigen
−0.0914
0.1929


202479_s_at
tribbles homolog 2 (Drosophila)
0.091
−0.1922


200998_s_at
cytoskeleton-associated protein 4
−0.0909
0.1919


201189_s_at
inositol 1,4,5-triphosphate receptor, type 3
0.0904
−0.1909


217985_s_at
bromodomain adjacent to zinc finger domain, 1A
−0.0903
0.1906


204070_at
retinoic acid receptor responder (tazarotene induced) 3
0.0897
−0.1894


217762_s_at
RAB31, member RAS oncogene family
−0.0892
0.1883


201785_at
ribonuclease, RNase A family, 1 (pancreatic)
−0.0892
0.1882


201661_s_at
acyl-CoA synthetase long-chain family member 3
−0.089
0.188


218689_at
Fanconi anemia, complementation group F
0.0885
−0.1868


207521_s_at
ATPase, Ca++ transporting, ubiquitous
0.0878
−0.1854


219157_at
kelch-like 2, Mayven (Drosophila)
−0.0878
0.1853


211796_s_at
T cell receptor beta variable 21-1
0.0878
−0.1853


208829_at
TAP binding protein (tapasin)
0.0873
−0.1844


204362_at
src family associated phosphoprotein 2
−0.0871
0.1839


202912_at
adrenomedullin
−0.0866
0.1828


205624_at
carboxypeptidase A3 (mast cell)
0.0862
−0.1819


206697_s_at
haptoglobin
−0.0856
0.1807


204891_s_at
lymphocyte-specific protein tyrosine kinase
0.0854
−0.1802


205254_x_at
transcription factor 7 (T-cell specific, HMG-box)
0.0852
−0.1799


219315_s_at
chromosome 16 open reading frame 30
0.0852
−0.1799


209710_at
GATA binding protein 2
0.0851
−0.1796


213261_at
lupus brain antigen 1
0.0843
−0.178


214326_x_at
jun Dproto-oncogene
0.082
−0.1732


209570_s_at
DNA segment on chromosome 4 (unique) 234
0.0813
−0.1717



expressed sequence


202459_s_at
lipin 2
0.08
−0.169


217838_s_at
Enah/Vasp-like
0.0798
−0.1685


216233_at
CD163 antigen
−0.0788
0.1664


219607_s_at
membrane-spanning 4-domains, subfamily A,
−0.0782
0.1652



member 4


209163_at
cytochrome b-561
0.078
−0.1647


210279_at
G protein-coupled receptor 18
0.0779
−0.1644


205119_s_at
formyl peptide receptor 1
−0.0762
0.161


207460_at
granzyme M (lymphocyte met-ase 1)
0.0758
−0.16


209504_s_at
pleckstrin homology domain containing, family B
0.0752
−0.1588



(evectins) member 1


221601_s_at
Fas apoptotic inhibitory molecule 3
0.0733
−0.1548


201367_s_at
zinc finger protein 36, C3H type-like 2
0.0702
−0.1482


203828_s_at
interleukin 32
0.0698
−0.1474


209782_s_at
D site of albumin promoter (albumin D-box) binding
0.0696
−0.1469



protein


202435_s_at
cytochrome P450, family 1, subfamily B, polypeptide 1
−0.0686
0.1447


205844_at
vanin 1
−0.0683
0.1442


205681_at
BCL2-related protein A1
−0.0681
0.1438


213689_x_at
Ribosomal protein L5
0.0681
−0.1437


210201_x_at
bridging integrator 1
0.068
−0.1436


201925_s_at
decay accelerating factor for complement (CD55,
−0.0676
0.1427



Cromer blood group system)


220330_s_at
SAM domain, SH3 domain and nuclear localisation
−0.0675
0.1425



signals, 1


204890_s_at
lymphocyte-specific protein tyrosine kinase
0.0669
−0.1413


206061_s_at
Dicer1, Dcr-1 homolog (Drosophila)
−0.0665
0.1404


204960_at
protein tyrosine phosphatase, receptor type, C-
0.0662
−0.1398



associated protein


210116_at
SH2 domain protein 1A, Duncan's disease
0.0656
−0.1385



(lymphoproliferative syndrome)


200644_at
MARCKS-like 1
0.0655
−0.1383


214439_x_at
bridging integrator 1
0.0649
−0.1371


202191_s_at
growth arrest-specific 7
−0.0649
0.137


219812_at
hypothetical protein MGC2463
0.0649
−0.137


200965_s_at
actin binding LIM protein 1
0.0649
−0.137


213397_x_at
ribonuclease, RNase A family, 4
−0.0638
0.1347


206181_at
signaling lymphocytic activation molecule family
0.0636
−0.1342



member 1


220485_s_at
signal-regulatory protein beta 2
0.063
−0.133


207339_s_at
lymphotoxin beta (TNF superfamily, member 3)
0.0626
−0.1322


210512_s_at
vascular endothelial growth factor
−0.0624
0.1316


202931_x_at
bridging integrator 1
0.061
−0.1288


215001_s_at
glutamate-ammonia ligase (glutamine synthetase)
−0.0605
0.1276


208686_s_at
bromodomain containing 2
0.0597
−0.126


211339_s_at
IL2-inducible T-cell kinase
0.0586
−0.1236


214958_s_at
epidermodysplasia verruciformis 1
0.0582
−0.1229


217552_x_at
complement component (3b/4b) receptor 1, including
−0.0578
0.1221



Knops blood group system


205141_at
angiogenin, ribonuclease, RNase A family, 5
−0.0578
0.1219


217763_s_at
RAB31, member RAS oncogene family
−0.0577
0.1217


209616_s_at
carboxylesterase 1 (monocyte/macrophage serine
−0.0558
0.1179



esterase 1)


209670_at
T cell receptor alpha constant
0.0558
−0.1178


221249_s_at
C/EBP-induced protein
0.0557
−0.1175


206118_at
signal transducer and activator of transcription 4
0.0555
−0.1173


211275_s_at
glycogenin
−0.0548
0.1157


204619_s_at
chondroitin sulfate proteoglycan 2 (versican)
−0.0544
0.1149


220570_at
resistin
−0.0544
0.1148


201926_s_at
decay accelerating factor for complement (CD55,
−0.0537
0.1133



Cromer blood group system)


210517_s_at
A kinase (PRKA) anchor protein (gravin) 12
0.0535
−0.113


213958_at
CD6 antigen
0.0532
−0.1123


203765_at
grancalcin, EF-hand calcium binding protein
−0.0517
0.1091


204908_s_at
B-cell CLL/lymphoma 3
−0.0515
0.1087


211005_at
linker for activation of T cells
0.0514
−0.1084


211711_s_at
phosphatase and tensin homolog (mutated in multiple
−0.0511
0.1079



advanced cancers 1)


218559_s_at
v-maf musculoaponeurotic fibrosarcoma oncogene
−0.0509
0.1075



homolog B (avian)


222043_at
clusterin (complement lysis inhibitor, SP-40,40,
−0.0509
0.1074



sulfated glycoprotein 2, testosterone-repressed



prostate message 2, apolipoprotein J)


219423_x_at
tumor necrosis factor receptor superfamily, member
0.0509
−0.1074



25


218319_at
pellino homolog 1 (Drosophila)
−0.0508
0.1073


211596_s_at
leucine-rich repeats and immunoglobulin-like
0.0499
−0.1053



domains 1


222235_s_at
chondroitin sulfate GalNAcT-2
−0.0497
0.105


210426_x_at
RAR-related orphan receptor A
0.0497
−0.1049


203751_x_at
jun D proto-oncogene
0.0488
−0.103


203887_s_at
thrombomodulin
−0.0485
0.1024


204860_s_at
baculoviral IAP repeat-containing 1
−0.0484
0.1022


207275_s_at
acyl-CoA synthetase long-chain family member 1
−0.0482
0.1018


202861_at
period homolog 1 (Drosophila)
−0.0482
0.1017


205831_at
CD2 antigen (p50), sheep red blood cell receptor
0.0477
−0.1006


220418_at
ubiquitin associated and SH3 domain containing, A
0.0469
−0.0989


212641_at
human immunodeficiency virus type I enhancer
0.0466
−0.0984



binding protein 2


217969_at
chromosome 11 open reading frame2
0.0466
−0.0983


212575_at
chromosome 19 open reading frame 6
0.0459
−0.097


202381_at
ADAM metallopeptidase domain 9 (meltrin gamma)
−0.0455
0.0961


211936_at
heat shock 70 kDa protein 5 (glucose-regulated
−0.0455
0.0961



protein, 78 kDa)


217986_s_at
bromodomain adjacent to zinc finger domain, 1A
−0.0454
0.0958


221210_s_at
N-acetylneuraminate pyruvate lyase
−0.0453
0.0955



(dihydrodipicolinate synthase)


202747_s_at
integral membrane protein 2A
0.0447
−0.0943


212914_at
chromobox homolog 7
0.0444
−0.0937


213274_s_at
cathepsin B
−0.0442
0.0933


212658_at
lipoma HMGIC fusion partner-like 2
−0.0434
0.0917


203413_at
NEL-like 2 (chicken)
0.0431
−0.0909


205425_at
huntingtin interacting protein 1
−0.043
0.0908


204112_s_at
histamine N-methyltransferase
−0.0429
0.0906


209154_at
Tax1 (human T-cell leukemia virus type I) binding
−0.0428
0.0904



protein 3


202208_s_at
ADP-ribosylation factor-like 7
0.0424
−0.0896


200707_at
protein kinase C substrate 80K-H
0.0422
−0.0892


209960_at
hepatocyte growth factor (hepapoietin A; scatter
−0.0422
0.0891



factor)


211764_s_at
ubiquitin-conjugating enzyme E2D 1 (UBC4/5
−0.0419
0.0885



homolog, yeast)


215761_at
Dmx-like 2
−0.0419
0.0884


207067_s_at
histidine decarboxylase
0.0411
−0.0867


200675_at
CD81 antigen (target of antiproliferative antibody 1)
0.0405
−0.0855


203385_at
diacylglycerol kinase, alpha 80 kDa
0.04
−0.0845


204614_at
serpin peptidase inhibitor, clade B (ovalbumin),
−0.0399
0.0842



member 2


204198_s_at
runt-related transcription factor 3
0.0398
−0.0841


212574_x_at
chromosome 19 open reading frame 6
0.0398
−0.0839


218328_at
coenzyme Q4 homolog (yeast)
0.0387
−0.0817


206111_at
ribonuclease, RNase A family, 2 (liver, eosinophil-
−0.0377
0.0796



derived neurotoxin)


201853_s_at
cell division cycle 25B
0.0376
−0.0793


200663_at
CD63 antigen (melanoma 1 antigen)
−0.0371
0.0783


211282_x_at
tumor necrosis factor receptor superfamily, member
0.037
−0.0781



25


219541_at
Lck interacting transmembrane adaptor 1
0.0367
−0.0775


215127_s_at
RNA binding motif, single stranded interacting
−0.0366
0.0773



protein 1


215796_at
T cell receptor alpha variable 20
0.0365
−0.0771


204140_at
tyrosylprotein sulfotransferase 1
−0.0365
0.077


208808_s_at
high-mobility group box 2
−0.0363
0.0767


203965_at
ubiquitin specific peptidase 20
0.0361
−0.0761


210031_at
CD3Z antigen, zeta polypeptide (TiT3 complex)
0.0358
−0.0756


205603_s_at
diaphanous homolog 2 (Drosophila)
−0.0356
0.0751


218927_s_at
carbohydrate (chondroitin 4) sulfotransferase 12
0.0354
−0.0748


209156_s_at
collagen, type VI, alpha 2
0.0353
−0.0745


204393_s_at
acid phosphatase, prostate
−0.0348
0.0736


203548_s_at
lipoprotein lipase
−0.0347
0.0732


205745_x_at
ADAM metallopeptidase domain 17 (tumor necrosis
−0.0344
0.0726



factor, alpha, converting enzyme)


218454_at
hypothetical protein FLJ22662
−0.0341
0.072


210166_at
toll-like receptor 5
−0.0336
0.071


205568_at
aquaporin 9
−0.0331
0.0699


204985_s_at
trafficking protein particle complex 6A
0.0331
−0.0698


202739_s_at
phosphorylase kinase, beta
−0.0324
0.0684


209185_s_at
insulin receptor substrate 2
−0.0322
0.0681


213198_at
activin A receptor, type IB
−0.0322
0.068


212989_at
transmembrane protein 23
−0.032
0.0675


210640_s_at
G protein-coupled receptor 30
−0.032
0.0675


203827_at
WD40 repeat protein Interacting with
−0.0318
0.067



phosphoInositides of 49 kDa


203574_at
nuclear factor, interleukin 3 regulated
−0.0317
0.0668


204971_at
cystatin A (stefin A)
−0.0316
0.0666


204269_at
pim-2 oncogene
0.0316
−0.0666


31874_at
growth arrest-specific 2 like 1
−0.0314
0.0662


207734_at
lymphocyte transmembrane adaptor 1
0.0311
−0.0657


203392_s_at
C-terminal binding protein 1
0.0307
−0.0647


212263_at
quaking homolog, KH domain RNA binding (mouse)
−0.0292
0.0616


206522_at
maltase-glucoamylase (alpha-glucosidase)
−0.029
0.0612


212665_at
TCDD-inducible poly(ADP-ribose) polymerase
−0.0286
0.0603


210095_s_at
insulin-like growth factor binding protein 3
0.0285
−0.0601


218217_at
serine carboxypeptidase 1
−0.0284
0.0599


214447_at
v-ets erythroblastosis virus E26 oncogene homolog 1
0.0283
−0.0597



(avian)


210825_s_at
prostatic binding protein
0.0282
−0.0596


58780_s_at
hypothetical protein FLJ10357
−0.0282
0.0596


217119_s_at
chemokine (C—X—C motif) receptor 3
0.0282
−0.0594


213926_s_at
HIV-1 Rev binding protein
−0.028
0.0592


218618_s_at
fibronectin type III domain containing 3B
−0.0277
0.0585


221658_s_at
interleukin 21 receptor
0.0272
−0.0574


210039_s_at
protein kinase C, theta
0.0271
−0.0572


208644_at
poly (ADP-ribose) polymerase family, member 1
0.027
−0.057


38487_at
stabilin 1
−0.0269
0.0568


212589_at
Sterol carrier protein 2
0.0262
−0.0552


210948_s_at
lymphoid enhancer-binding factor 1
0.0259
−0.0547


205863_at
S100 calcium binding protein A12 (calgranulin C)
−0.0257
0.0542


218728_s_at
cornichon homolog 4 (Drosophila)
−0.0255
0.0539


207351_s_at
SH2 domain protein 2A
0.0254
−0.0537


205798_at
interleukin 7 receptor
0.025
−0.0527


221731_x_at
chondroitin sulfate proteoglycan 2 (versican)
−0.0248
0.0524


209184_s_at
insulin receptor substrate 2
−0.0247
0.0521


209619_at
CD74 antigen (invariant polypeptide of major
0.0247
−0.0521



histocompatibility complex, class II antigen-



associated)


209906_at
complement component 3a receptor 1
−0.0233
0.0493


206296_x_at
mitogen-activated protein kinase kinase kinase kinase 1
0.0225
−0.0475


211856_x_at
CD28 antigen (Tp44)
0.0218
−0.046


204951_at
ras homolog gene family, member H
0.0215
−0.0454


202624_s_at
calcineurin binding protein 1
0.0215
−0.0453


201677_at
Chromosome 3 open reading frame 37
0.0214
−0.0452


201555_at
MCM3 minichromosome maintenance deficient 3 (S. cerevisiae)
0.0214
−0.0451


210873_x_at
apolipoprotein B mRNA editing enzyme, catalytic
−0.0214
0.0451



polypeptide-like 3A


216667_at
ribonuclease, RNase A family, 2 (liver, eosinophil-
−0.0213
0.0449



derived neurotoxin)


216133_at
T cell receptor V alpha gene segment V-alpha-w23,
0.0212
−0.0448



clone IGRa01


200765_x_at
catenin (cadherin-associated protein), alpha 1, 102 kDa
−0.0212
0.0448


205590_at
RAS guanyl releasing protein 1 (calcium and DAG-
0.0204
−0.0431



regulated)


206666_at
granzyme K (granzyme 3; tryptase II)
0.0204
−0.043


217147_s_at
T cell receptor associated transmembrane adaptor 1
0.0202
−0.0426


209379_s_at
KIAA1128
0.0201
−0.0424


201951_at
activated leukocyte cell adhesion molecule
−0.0199
0.042


203547_at
CD4 antigen (p55)
0.0195
−0.0412


219922_s_at
latent transforming growth factor beta binding protein 3
0.0195
−0.0412


208470_s_at
haptoglobin
−0.0186
0.0393


212144_at
unc-84 homolog B (C. elegans)
0.0183
−0.0386


214219_x_at
mitogen-activated protein kinase kinase kinase kinase 1
0.0181
−0.0382


206714_at
arachidonate 15-lipoxygenase, second type
−0.0178
0.0376


219622_at
RAB20, member RAS oncogene family
−0.0178
0.0375


214696_at
hypothetical protein MGC14376
−0.0172
0.0362


215923_s_at
pleckstrin and Sec7 domain containing 4
0.0171
−0.036


215967_s_at
lymphocyte antigen 9
0.017
−0.0358


210038_at
protein kinase C, theta
0.017
−0.0358


211794_at
FYN binding protein (FYB-120/130)
−0.0165
0.0349


204103_at
chemokine (C-C motif) ligand 4
0.0161
−0.0339


212464_s_at
fibronectin 1
−0.0159
0.0336


218091_at
HIV-1 Rev binding protein
−0.0159
0.0335


202074_s_at
optineurin
0.0155
−0.0328


209135_at
aspartate beta-hydroxylase
−0.0154
0.0325


213986_s_at
chromosome 19 open reading frame 6
0.0148
−0.0313


210607_at
fms-related tyrosine kinase 3 ligand
0.0145
−0.0307


207824_s_at
MYC-associated zinc finger protein (purine-binding
0.0139
−0.0293



transcription factor)


213572_s_at
serpin peptidase inhibitor, clade B (ovalbumin),
−0.0137
0.0288



member 1


201952_at
activated leukocyte cell adhesion molecule
−0.0136
0.0287


219358_s_at
centaurin, alpha 2
−0.0136
0.0286


214771_x_at
myosin phosphatase-Rho interacting protein
0.0132
−0.0278


216969_s_at
kinesin family member 22
0.013
−0.0275


201557_at
vesicle-associated membrane protein 2 (synaptobrevin
0.0126
−0.0266



2)


206150_at
tumor necrosis factor receptor superfamily, member 7
0.0126
−0.0265


205819_at
macrophage receptor with collagenous structure
−0.0125
0.0263


212449_s_at
lysophospholipase I
−0.0123
0.026


213587_s_at
ATPase, H+ transporting V0 subunit E isoform 2-like
0.0123
−0.0259



(rat)


221851_at
hypothetical protein BC002926
0.0122
−0.0257


203556_at
zinc fingers and homeoboxes 2
0.0121
−0.0254


39582_at
Cylindromatosis (turban tumor syndrome)
0.012
−0.0253


217729_s_at
amino-terminal enhancer of split
0.0119
−0.025


214877_at
Proteasome (prosome, macropain) 26S subunit, non-
0.0116
−0.0244



ATPase, 12


212316_at
nucleoporin 210 kDa
0.0115
−0.0242


201313_at
enolase 2 (gamma, neuronal)
0.0113
−0.0238


210844_x_at
catenin (cadherin-associated protein), alpha 1, 102 kDa
−0.0111
0.0234


214022_s_at
interferon induced transmembrane protein 1 (9-27)
0.0107
−0.0227


212642_s_at
human immunodeficiency virus type I enhancer
0.0107
−0.0225



binding protein 2


211272_s_at
diacylglycerol kinase, alpha 80 kDa
0.0107
−0.0225


209308_s_at
BCL2/adenovirus E1B 19 kDa interacting protein 2
−0.0106
0.0224


212990_at
synaptojanin 1
−0.0102
0.0216


209286_at
CDC42 effector protein (Rho GTPase binding) 3
−0.0098
0.0206


211841_s_at
tumor necrosis factor receptor superfamily, member
0.0096
−0.0202



25


205349_at
guanine nucleotide binding protein (G protein), alpha
−0.0096
0.0202



15 (Gq class)


219859_at
C-type lectin domain family 4, member E
−0.0095
0.02


200952_s_at
cyclin D2
0.0093
−0.0196


201561_s_at
calsyntenin 1
0.009
−0.019


212606_at
WD repeat and FYVE domain containing 3
−0.0085
0.0179


201188_s_at
inositol 1,4,5-triphosphate receptor, type 3
0.0084
−0.0177


201601_x_at
interferon induced transmembrane protein 1 (9-27)
0.0083
−0.0176


210986_s_at
tropomyosin 1 (alpha)
−0.0083
0.0176


218865_at
MOCO sulphurase C-terminal domain containing 1
−0.0082
0.0174


201369_s_at
zinc finger protein 36, C3H type-like 2
0.0079
−0.0166


208636_at
Actinin, alpha 1
−0.0077
0.0163


200671_s_at
spectrin, beta, non-erythrocytic 1
0.0077
−0.0162


219988_s_at
chromosome 1 open reading frame 164
0.0075
−0.0159


202928_s_at
PHD finger protein 1
0.0075
−0.0158


212414_s_at
septin 6
0.0072
−0.0152


220001_at
peptidyl arginine deiminase, type IV
−0.0071
0.0151


33197_at
myosin VIIA
−0.0069
0.0145


208723_at
ubiquitin specific peptidase 11
0.0068
−0.0144


204442_x_at
latent transforming growth factor beta binding protein 4
0.0067
−0.0141


208807_s_at
chromodomain helicase DNA binding protein 3
0.0066
−0.0139


205191_at
retinitis pigmentosa 2 (X-linked recessive)
−0.0065
0.0136


203608_at
aldehyde dehydrogenase 5 family, member A1
0.0062
−0.0131



(succinate-semialdehyde dehydrogenase)


204646_at
dihydropyrimidine dehydrogenase
−0.0059
0.0125


203159_at
glutaminase
0.0054
−0.0114


205471_s_at
dachshund homolog 1 (Drosophila)
−0.0051
0.0107


213295_at
Cylindromatosis (turban tumor syndrome)
0.0049
−0.0103


207485_x_at
butyrophilin, subfamily 3, member A1
0.0048
−0.0102


218043_s_at
5-azacytidine induced 2
−0.0048
0.0102


201554_x_at
glycogenin
−0.0048
0.0102


218854_at
squamous cell carcinoma antigen recognized by T
−0.0048
0.0101



cells 2


209555_s_at
CD36 antigen (collagen type I receptor,
−0.0047
0.0099



thrombospondin receptor)


218668_s_at
RAP2C, member of RAS oncogene family
−0.0046
0.0096


200864_s_at
RAB11A, member RAS oncogene family
−0.0046
0.0096


213241_at
plexin C1
−0.0045
0.0094


37145_at
granulysin
0.0043
−0.009


205718_at
integrin, beta 7
0.0042
−0.0088


209604_s_at
GATA binding protein 3
0.0041
−0.0086


205963_s_at
DnaJ (Hsp40) homolog, subfamily A, member 3
0.0039
−0.0083


209603_at
GATA binding protein 3
0.0039
−0.0082


201185_at
HtrA serine peptidase 1
−0.0038
0.008


202039_at
TGFB1-induced anti-apoptotic factor 1
0.0036
−0.0076


214975_s_at
myotubularin related protein 1
0.0035
−0.0074


202146_at
interferon-related developmental regulator 1
−0.0034
0.0072


205488_at
granzyme A (granzyme 1, cytotoxic T-lymphocyte-
0.003
−0.0064



associated serine esterase 3)


221519_at
F-box and WD-40 domain protein 4
0.0029
−0.0061


214452_at
branched chain aminotransferase 1, cytosolic
−0.0028
0.0058


204777_s_at
mal, T-cell differentiation protein
0.0027
−0.0057


216920_s_at
T cell receptor gamma constant 2
0.0023
−0.0049


217507_at
Solute carrier family 11 (proton-coupled divalent
−0.0023
0.0049



metal ion transporters), member 1


215646_s_at
chondroitin sulfate proteoglycan 2 (versican)
−0.0022
0.0046


210538_s_at
baculoviral IAP repeat-containing 3
0.0022
−0.0046


213622_at
collagen, type IX, alpha 2
0.0017
−0.0035


210980_s_at
N-acylsphingosine amidohydrolase (acid ceramidase) 1
−0.0016
0.0033


212888_at
Dicer1, Dcr-1 homolog (Drosophila)
−0.0015
0.0032


200941_at
heat shock factor binding protein 1
−0.0015
0.0031


205931_s_at
cAMP responsive element binding protein 5
−0.0015
0.0031


207674_at
Fc fragment of IgA, receptor for
−0.0014
0.0029


208857_s_at
protein-L-isoaspartate (D-aspartate) O-
−0.0013
0.0028



methyltransferase


218323_at
ras homolog gene family, member T1
−0.0012
0.0026


220054_at
interleukin 23, alpha subunit p19
0.0012
−0.0024


201361_at
hypothetical protein MGC5508
9.00E−04
−0.0019


216442_x_at
fibronectin 1
−7.00E−04
0.0014


209600_s_at
acyl-Coenzyme A oxidase 1, palmitoyl
−4.00E−04
9.00E−04


215806_x_at
T cell receptor gamma constant 2
4.00E−04
−9.00E−04


221012_s_at
tripartite motif-containing 8
−2.00E−04
5.00E−04


201560_at
chloride intracellular channel 4
−2.00E−04
4.00E−04


209815_at
patched homolog (Drosophila)
1.00E−04
−2.00E−04





{circumflex over ( )}Probe set ID number is the Affymetrix ID number on the HU133A array






The ability of the 380 probes in Table 8 to accurately classify subjects as having not had a hemorrhagic stroke or having had a hemorrhagic stroke was determined. The ability of those probes to accurately classify an IS subject as not having had a hemorrhagic stroke was 18/19, and to accurately classify a subject as having had a hemorrhagic stroke was 7/9. This indicates that the disclosed methods can determine whether a subject has had a hemorrhagic stroke (such as an ICH) with a sensitivity of at least 78% and a specificity (or accuracy) of at least 90% (such as at least 94%).


Therefore, as shown in the tables above, several genes not previously associated with hemorrhagic stroke, such as IL1R2, haptoglobin, amphiphysin, TAP2, CD163, granzyme M, and Sema4C were identified. As opposed to ischemic stroke (IS), where around 90% of the genes were up-regulated (see PCT/US2005/018744), in hemorrhagic stroke about 50-60% of genes were up-regulated; a prominent down-regulation of genes related to immune function was found. ICH and IS were both associated with elevated CD163 expression, a marker of conversion of blood-borne monocytes to tissue macrophages. Other genes common to both types of stroke, such as GAS7 and glutamine ligase, indicate a response to the altered cerebral microenvironment. Another gene up-regulated in both IS and ICH is factor V. Up-regulated factor V expression may represent a risk factor for both IS and ICH, or be reflective of the body's effort to maintain a balance between bleeding and clotting.


Example 5
Reverse Transcription and Real-Time Polymerase Chain Reactions

This example describes the use of quantitative real-time polymerase chain reaction


(PCR) to confirm results obtained using the microarrays described in Example 4.


RNA (2 μg) from 6 ICH subjects and 7 “normal” subjects was retro-transcribed to complementary deoxyribonucleic acid in a final volume of 21 μL with the SuperScript First-Strand Synthesis System (Invitrogen, Catalogue # 108080-051) following manufacturer's instructions. Genes were selected for analysis on the basis of their significantly increased (5 genes) or decreased (3 genes) expression in ICH subjects compared to control (non-stroke) subjects. Primers were obtained from the published literature and ordered from Invitrogen (Carlsbad, Calif.) as listed in Table 9.









TABLE 9







Primers for real time-PCR











Representative




Gene Symbol
Public ID
Primer Sequence (SEQ ID NO:)














Up-regulated in






ICH on array


IL1R2*
NM_004633
F-CTACGCACCACAGTCAAGGAAG
(1)




R-TGCATCCATATTCCCCCCA
(2)





IL1R2**
NM_004633
F-GGCCAGCAATACAACATCAC
(3)




R-CCCAGAAACACCTTACACG
(4)





AMPH
NM_001635
F-TAGCAGCAATCAAAGGCATGC
(5)




R-TAGCAGCAATCAAAGGCATGC
(6)





CD163
NM_004244
F-ACAGGTCGCTCATCCCGTC
(7)




R-CCCAAGGATCCCGACTGC
(8)





F5
NM_000130
F-AAATCCCATGAGTTTCACGCC
(9)




R-CAGACCCCTAACTGGTGCTGTT
(10)





S100A9
NM_002965
F-CGGCTTTGAGACAGAGTGCAA
(11)




R-CGCACCAGCTCTTTGAATTCC
(12)





Down-regulated


in ICH on array


SEMA4C
NM_017789
F-TGTGGATGGTGAGCTGTACTCG
(13)




R-GTTGAGCCAAAAGGCCAGGTA
(14)





IRF1
NM_002198
F-TGCCAGATATCGAGGAGGTGAA
(15)




R-TGACTTCCTCTTGGCCTTGCT
(16)





CD6
NM_006725
F-TGACCACCTTCTACAATTCCC
(17)




R-AACTCTTCAAGTCCTTCCTCC
(18)





Not significantly


altered on array


CASC3
NM_007359
F-TTCCCCACCCAGGTTTACATC
(19)




R-AAAGTTCATGACGCCTGGAGC
(20)





NUCB1
NM_006184
F-GAATGTGGACACCAACCAGGA
(21)




R-TTCAAAGCGCCTCAGCTCTTC
(22)





FDFT1
NM_004462
F-CGCAACGCAGTGTGCATATT
(23)




R-ACCGCCAGTCTGGTTGGTAAA
(24)





F-forward, R-reverse, *, **separate gene probes/primers used for real time PCR






The quantitative real-time PCR reaction was run in an Opticon cycler (MJ Research) with the Sybr Green PCR master mix (Applied Biosystems) following manufacturer's instructions. Thermocycling was performed in a final volume of 15 μL consisting of 3 μL cDNA (diluted 1:100) and 400 nmol/L primers (Table 9). Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was used as the normalizing housekeeping gene in all samples.


For every sample, both the housekeeping and target genes were amplified in triplicate in the same run, using the following cycle scheme: after initial denaturation of the samples at 95° C. for 5 minutes, 47 cycles of 95° C. for 30 seconds, 60° C. for 30 seconds, and 72° C. for 30 seconds. Fluorescence was measured in every cycle, and a melting curve was run after the PCR by increasing the temperature from 60° C. to 90° C. (1.0° C. increments). A defined single peak was obtained for all amplicons, confirming the specificity of the amplification. PCR results between patients and referents were compared through the use of non-parametric statistics (Mann-Whitney U tests). If the melting curve showed more than one peak or the peak did not fall with those of the other samples the sample was excluded. All real-time PCR data were normalized before comparison with the GAPDH sample level. The results of the real time PCR experiments are reported as ratios.


Three of the ICH genes of interest were also tested in two additional non ICH referent patients who had other forms of brain pathology (one patient with a traumatic intracerebral hemorrhage and one patient with an ischemic stroke and a microbleed).


As shown in Table 10, real-time PCR confirmed altered mRNA expression in 8/8 genes (10/10 gene probes) differentially up- or down-regulated in the ICH group compared to the referent group. IL1R2 and amphiphysin expression were elevated several hundred fold in the ICH patients relative to the referents (FIGS. 1A and 1B). These genes appear to be minimally expressed under physiological conditions in PBMCs, if at all. Up-regulated IL1R2 expression was found in two non ICH patients with brain pathology (a patient with a traumatic ICH and a patient with an ischemic stroke and a microbleed), which was intermediate between the levels for ICH and the values of four referent subjects in the index cohort. Using two further genes (SEMAC4C and IRF1) real time PCR was also able to differentiate these two cases showing up-regulated gene expression that was again intermediate between the referent and the ICH levels. Therefore, the disclosed hemorrhagic stroke-associated molecules can be used for diagnosis of a hemorrhage, whether due to stroke or trauma.









TABLE 10







Correlation of expression data with real time-PCR values#












Affymetrix
ICH
Control



Gene
probe ID
Relative gene mRNA
Relative gene mRNA
p
















Up-regulated in








ICH on array


IL1R2*
NM_004633
2.74
(1.3, 8.6)
0.0005
(0.0004, 0.02)
0.0218


IL1R2**
NM_004633
1.22
(0.41, 3.91)
0.0003
(0.0001, 0.0009)
0.0231


AMPH
NM_001635
7.831
(2.19, 17.22)
0.001
(0.0008, 0.0049)
0.0128


CD163
NM_004244
1.5
(0.71, 2.17)
0.49
(0.32, 0.82)
0.0085


F5
NM_000130
0.98
(0.28, 1.55)
0.48
(0.22, 0.98)
0.0618


S100A9
NM_002965
46.31
(16.87, 87.94)
5.15
(3.15, 5.56)
0.0076


Down-regulated


in ICH on array


SEMA4C
NM_017789
0.028
(0.016, 0.048)
0.16
(0.13, 0.23)
0.0009


IRF1
NM_002198
1.55
(1.19, 2.09)
5.58
(4.01, 8.15)
<0.0001


CD6
NM_006725
0.54
(0.24, 1.01)
2.29
(1.74, 3.66)
0.0021


Not


significantly


altered on array


CASC3
NM_007359
1.93
(0.32, 6.18)
2.5
(1.39, 5.09)
0.7262


NUCB1
NM_006184
1.37
(0.73, 3.05)
1.82
(1.1, 3.25)
0.4961


FDFT1
NM_004462
1.07
(0.40, 2.15)
0.71
(0.58, 1.42)
0.6128





#Results are presented as medians (inter-quartile range)


*, ** separate gene probes/primers used for real time PCR


Genes were altered on the FDR list or the Holm list






Example 6
Independent Validation Data Sets

This example describes methods used to independently validate the results described herein. Further validation was performed in two independent test cohorts (7 ICH patients and 10 referent subjects) by (1) determining the accuracy of the PAM list for the classification of ICH in a first and independent test cohort and (2) performing real time PCR in a second test cohort.


In the first validation, the accuracy of the PAM listing generated from the ICH versus “normal” control comparison (Table 5) was used to classify the prospectively obtained samples from 4 ICH patients and 6 referent subjects. Inclusion and exclusion criteria were the same for both ICH patients and referent control subjects as described in Examples 1 and 3-4 for the index cohort. When applied to the first cohort (4 ICH cases and 6 referent subjects) the ICH PAM list of 30 genes (37 gene probes) showed a sensitivity of 75% and a specificity of 100%: all 6 referent subjects were correctly classified with the correct classification of 3 out of 4 prospectively analyzed ICH patients. This indicates that the disclosed methods can determine whether a subject has had a hemorrhagic stroke (such as an ICH) with a specificity of at least 90% (such as at least 95% or 100%) and a sensitivity of at least 75% (such as at least 75%, at least 80%, or even at least 90%).


In the second validation, a cohort of 5 ICH patients (2 of these were also in the first cohort used for PAM classification) studied at 8 time-points post ICH, and 4 normal subjects were used in real time PCR studies to examine genes elevated in the index cohort. In the second test cohort (5 ICH cases [8 time points] and 4 referent subjects) real time PCR confirmed increased amphiphysin expression in 7/8 ICH samples and none of the referent subjects (FIG. 2). The median value for the referent group was 0.0005 (range 9.54×10−5-0.00101) and for the ICH group was 0.35 (range 0.000456-2.413, p=0.017, Mann Whitney U test). The 8 time-points ranged from 2 days until 11 days. In one subject the amphiphysin level was not increased in the earliest sample (at 48 hours) but had risen on the second sample (4 days later). Therefore, amphiphysin expression was validated with >95% accuracy using real time PCR.


These results demonstrated and validated a significantly altered gene expression in PBMCs during ICH.


Example 7
Classes of Gene Expression Altered Following Hemorrhagic Stroke

As shown in Examples 4 and 5 above, a distinct genomic profile of intracerebral hemorrhagic stroke in PBMCs was identified. This example describes seven classes of hemorrhagic stroke-related genes were identified that are upregulated or down-regulated following hemorrhagic stroke: acute inflammatory response, cell adhesion, immune suppression, response to hypoxia, hematoma/vascular repair response, response to the altered cerebral microenvironment and transcription factor/unknown (Table 5). Two of the most significantly up-regulated genes were interleukin receptor 1, type II (IL1R2, p=2.24×10−16) and amphiphysin (p=1.05×10−15). CD163 was also prominently up-regulated. Other genes of interest were acyl-CoA synthetase, which was markedly up-regulated and the ABC protein TAP2, which was markedly down-regulated.


The first are genes involved in the acute inflammatory response, such as CD163. Such genes can initiate or promote an acute inflammatory response (such as promoting or enhancing the exudation of plasma proteins and leukocytes into the surrounding tissue. In a specific example, expression of one or more of such genes is altered (such as upregulated or downregulated) in response to injury to a blood vessel, for example in response to an ICH.


The second are genes involved in cell adhesion, such as acyl-CoA synthetase long-chain family member 1. Such genes can promote or enhance cell adhesion, such as the binding of one cell to another cell, or the binding of a cell or to a surface or matrix. In a specific example, expression of one or more of such genes is altered (such as upregulated or downregulated) in response to injury to a blood vessel, for example in response to an ICH.


The third are genes involved in suppression of the immune response, such as IL1R2. Such genes may reduce available IL1, thereby reducing the activation of cells of the immune system. For example, such genes may reduce or inhibit white blood cell proliferation. In a specific example, expression of one or more of such genes is altered (such as upregulated or downregulated) in response to injury to a blood vessel, for example in response to an ICH.


The fourth are genes involved in response to hypoxia, such as solute carrier family 2, member 3. Expression of such genes is altered (such as upregulated or down-regulated) in response to decreased available oxygen in the blood and tissues. In a specific example, expression of one or more of such genes is altered (such as upregulated or down-regulated) in response to injury to a blood vessel, for example in response to an ICH.


The fifth are genes involved in hematoma/vascular repair response, such as haptoglobin, factor 5, and two genes related to induction of megakaryocyte formation, v-maf musculoaopneurotic fibrosarcoma oncogene homolog B and HIV-1 Rev binding protein. Such genes can promote healing of damaged blood vessels, such as those that have hemorrhaged. In a specific example, expression of one or more of such genes is altered (such as upregulated or downregulated) in response to injury to a blood vessel, for example in response to an ICH.


The sixth are genes involved in response to the altered cerebral microenvironment, such as amphiphysin. Such genes can be involved in enhanced synaptic vesicle recycling in the brain, or as in the case of GAS7 be associated with neuronal recovery and repair. In a specific example, expression of one or more of such genes is altered (such as upregulated or downregulated) in response to injury to a blood vessel, for example in response to an ICH. Amphiphysin is a novel target for ICH as this gene was up-regulated several hundred-fold and was not expressed to any degree in the PBMCs of the referent control subjects.


The seventh are genes involved in signal transduction, such as centaurin alpha 2 and cytochrome P450. Such genes can converse one signal into another type of signal, for example to increase signal transmission between cells or with a cell. In a specific example, expression of one or more of such genes is altered (such as upregulated or down-regulated) in response to injury to a blood vessel, for example in response to an ICH.


In summary, the gene classes demonstrate both specific and non-specific gene expression in PBMCs during hemorrhagic stroke, such as intracerebral hemorrhagic stroke. ICH was associated with up-regulation of genes associated with inactivation of interleukin-1 and suppression of inflammatory responses (e.g. IL1R2) and enhancement of synaptic vesicle endocytosis and recycling in the brain (e.g. amphiphysin). These results indicate that ICH is associated with a profound immune suppression response on the one hand, while, on the other hand, associated with the induction of genes related to acute inflammation and to macrophage functions such as cell adhesion, (e.g., CD163 and acyl-CoA synthetase long-chain family member 1, involved in membrane synthesis). The prominent immune suppression response (e.g., up-regulation of anti-inflammatory genes such as IL1R2 and insulin receptor substrate 2 and down-regulation of other immune response genes) may reflect the body's effort to conserve other blood functions and to focus on digestion of the hematoma.


Example 8
Correlational Graph Analyses

Eighty-four gene networks, derived from the Holm corrected differentially expressed gene list between the ICH and the referent groups (Table 4), with significant correlation coefficients after false discovery multiple comparison correction were identified (Table 11). Network 3 was indicative of a direct response to vessel injury in PBMCs. Other networks were indicative of a co-ordinated and synchronized DNA replication response (network 4) as well as with activation of white blood cells (networks 7 and 8), cellular motility (network 6), with white blood cell differentiation (network 10) and with cellular responses (networks 9 and 16, Appendix 5b). Network analyses revealed networks in PBMCs indicative of a direct response to vessel injury and a co-ordinated and synchronized DNA replication response.









TABLE 11







Networks identified from Holm-corrected ICH versus control.








Network
Function










(Growth regulation genes)








SEMA4C
Growth-cone guidance growing tissue


HLA-DPA1
Antigen presentation


DAB2
Growth of tissue embryonic development


TAXIBP3
(TIP1) cell motility T cell leukemia virus binding protein


TAP2
Transporter 2 ABC/B MDR/TAP antigen presentation


IMP3
U3 snoRNA







2. (antigen presentation)








HLA-DPA1
Antigen presentation


STAB1
Stabilin1 scavenger receptor PM<-> EE traffic







3. (direct response to vessel injury)








ARHGAP19
Rho GTPase activating protein


HLA-DPA1
Antigen presentation


ITGAM
IntegrinaM macrophage receptor C3B complement related CD11B



recruitment of leukocytes to site of vessel-injury


CALM1
Calmodulin1 growth cells cycle signal


PDCD4
Programmed cell death 4 nucleus proliferating cells NKT


KIF22
Kinesin22 cell division motor


MARCH1
Membrane associated ring finger (CSHCU)1 down-regulation of


(219574_at)
MHC1 by ubiquitin ligase







4. (DNA repair cell replication)








IMAP
U3 snoRNA


SEMA4C
Growth-cone guidance growing tissue


KIF22
Kinesin22 cell division motor


FANCF
Fanconi's anemia complementation F adaptor DNA binding repair


ASFA1
Histone chaperone DNA replication repair senescence







5. (Cell


cycle?)








DENND2D
DENN/MADD domain containing 2D


SASH1
SAM and SH3 daomain containing reduced in cancer cell cycle


ARL4A
Meiosis







6. (Motility)








DDEF1
Development differentiation enhancing factor-1 GAP activity motility


TAXIBP3
(TIP1) cell motility T cell leukemia virus binding protein


DAB2
Growth of tissue embryonic development


MERTK
Thrombotic response platelet activation


SLC2A3
Facilitated glucose transport induced in hypoxia


DICER1
RNA helicase (RNAi)


CDC42EP3
Rho GTPAse negative regulator induce pseudopodia







7.


(Activation?)








TMEM49
VMP1 vacuole formation


YES1
Oncogene TK







8. (activation of White blood cells)








PADI4
Peptidyl arginine deaminase granulocyte, macrophage development



inflammation


BTN3A1
Lipid metabolism butyrophylin


MMP9
Matrix metalloproteinase arthritis IL8 mobolization of hematopoetic



progenitors







9. (cellular response)








MARCH1
Membrane associated ring finger (CSHCU)1 down-regulation of


(219574_at)
MHC1 by ubiquitin ligase


ARHGAP19
Rho GTPase activating protein


KIF22
Kinesin22 cell division motor


TAP2
Transporter 2 ABC/B MDR/TAP antigen presentation


PDCD4
Programmed cell death 4 nucleus proliferating cells NKT


CYP1B1
Steroid metabolism signaling eye


CTSB
Cathepsin B cysteine proteinase


LYGE
Lymphocyte antigen 6 hematopoetic signaling







10. (activation of response through differentiation)








CENTA2
Binds PIP2 signal


MAFB
Regulate megakaryocite differentiation


BIN1
Bridging integrator adaptor nucleus cytoplasm phosphoinositides



(AMPH related)


CFLAR
Caspase 8 and FADD like apoptosis regulator


IL2RG
IL2 receptor (scid)







11. (antiviral defence)








CALM1
Calmodulin1 growth cells cycle signal


IFIH1
Interferon induced with helicase C domain activates antiviral (RNA



virus) response induce terminal differentiation


TAXIBP3
(TIP1) cell motility T cell leukemia virus binding protein


BTN3A1
Lipid metabolism butyrophylin


PDCD4
Programmed cell death 4 nucleus proliferating cells NKT


NGRN
Neugrin neurite outgrowth differentiation


H3F3B
Histon 3B


IRF1
Interferon regulatory factor transcription factor antiviral defence







12








KLHL2
Kelch like 2 redistribute cytoskeleton punctation neuron depolarization



differentiation/Macrophage response


H3F3B
Histon 3B







13.


(Transcription)








FANCF
Fanconi's anemia complementation F adaptor DNA binding repair


IMP3
U3 snoRNA


PER1
Period homolog circadian expression







14. (immune response)








DYSF
Dysferlin limb-gridle muscular dystrophy 2B calcium mediated



membrane fusion autoimmune disease


HLA-DPA1
Antigen presentation







15. (?)








MGC14376
?


TMEM39A
Transmembrane







16. (cellular esponse)


C6orf149








LYRM4
LYR motif containing mitochondria?


CXCR3
chimokine receptor 3 migration recruitment


RFX5
Regulatory factor 5 HLA II expression nuclear protein activates MHC



promoters collagen


HSP5A
HSP70 glucose regulation BIP







17








MAFB
Regulate megakaryocite differentiation


CALM1
Calmodulin1 growth cells cycle signal


TAXIBP3
(TIP1) cell motility T cell leukemia virus binding protein


CENTA2
Binds PIP2 signal







18








PECI
Peroxisomal enoyl CoA isomerase b Oxidation FA


PSME1
Proteasome activation subunite 1 makes immuno proteasome







19. (motility)








UBE2J1
Ubiquitin conjugating enzyme ER degradation


CDC42EP3
Rho GTPAse negative regulator induce pseudopodia







20.


(differentiation)








NGRN
Neugrin neurite outgrowth differentiation


HLA-DPA1
Antigen presentation


CXCR3
chimokine receptor 3 migration recruitment


KIF22
Kinesin22 cell division motor


IFIH1
Interferon induced with helicase C domain activates antiviral (RNA



virus) response induce terminal differentiation


PDCD4
Programmed cell death 4 nucleus proliferating cells NKT


GALNS
Galactosamine 6 sulfate sulfatase MPSIVA


FNTA
Fernisyl transferase CAAX box connects fernisyl to protein cysteins


MARCKSL1
MARCKS like brain organization







21








CR1
Complement receptor red/white blood cells membrane malaria receptor


HTRA1
Serine peptidase 1 reguate IGF1 response cell growth







22








IFIT2
Interferon induced tetratricopeptide


CDKAL1
CDK5 regulatory subunit like iron binding


AHR
Aryl hydrocarbon receptor transcription factor aromatic activates CYP



cell adheasion migration


HLA-DPA1
Antigen presentation


IRF1
Interferon regulatory factor transcription factor antiviral defence


TAP2
Transporter 2 ABC/B MDR/TAP antigen presentation


LYGE
Lymphocyte antigen 6 hematopoetic signaling


PSME1
Proteasome activation subunite 1 makes immuno proteasome







23








CXCR3
chimokine receptor 3 migration recruitment


CALM1
Calmodulin1 growth cells cycle signal


TAXIBP3
(TIP1) cell motility T cell leukemia virus binding protein


YES1
Oncogene TK


H3F3B
Histon 3B


NGRN
Neugrin neurite outgrowth differentiation


HLA-DPA1
Antigen presentation


C6orf149


LYRM4
LYR motif containing mitochondria?


RFX5
Regulatory factor 5 HLA II expression nuclear protein activates MHC



promoters collagen


SCARB2
Scavenger receptor B2 lysosome endosome LIMP2


RNASE1
Pancreatic RNAase


CYB561
Cytochrome B senescence iron







24








KIF22
Kinesin22 cell division motor


ARHGAP19
Rho GTPase activating protein


MARCH1
Membrane associated ring finger (CSHCU)1 down-regulation of


(219574_at)
MHC1 by ubiquitin ligase


HSP5A
HSP70 glucose regulation BIP


TAP2
Transporter 2 ABC/B MDR/TAP antigen presentation


NGRN
Neugrin neurite outgrowth differentiation


RFX5
Regulatory factor 5 HLA II expression nuclear protein activates MHC



promoters collagen


IMP3
U3 snoRNA


PER1
Period homolog circadian expression


HELZ
Helicase zink finger







25








SCARB2
Scavenger receptor B2 lysosome endosome LIMP2


LYGE
Lymphocyte antigen 6 hematopoetic signaling


HELZ
Helicase zink finger


H3F3B
Histon 3B


CXCR3
chimokine receptor 3 migration recruitment


PDCD4
Programmed cell death 4 nucleus proliferating cells NKT


ASFA1
Histone chaperone DNA replication repair senescence


SASH1
SAM and SH3 daomain containing reduced in cancer cell cycle


CDKAL1
CDK5 regulatory subunit like iron binding


C3AR1
Complement component 3a receptor 1 protein receptor to anaphylaxsis



C3a activate macrophages


F5
Coagulation factor V (proaccelerin labile factor) thrombosis


GLUL
Glutamate amonia ligase (glutamine synthase regulate body pH



removing amonia


JARID2
Jumonji Nuclear prevents cell replication







26








GLUL
Glutamate amonia ligase (glutamine synthase regulate body pH



removing amonia


CDKAL1
CDK5 regulatory subunit like iron binding


SCARB2
Scavenger receptor B2 lysosome endosome LIMP2


RFX5
Regulatory factor 5 HLA II expression nuclear protein activates MHC



promoters collagen


IMP3
U3 snoRNA







27








CDKAL1
CDK5 regulatory subunit like iron binding


GLUL
Glutamate amonia ligase (glutamine synthase regulate body pH



removing amonia


SCARB2
Scavenger receptor B2 lysosome endosome LIMP2


JARID2
Jumonji Nuclear prevents cell replication


C3AR1
Complement component 3a receptor 1 protein receptor to anaphylaxsis



C3a activate macrophages


HSP5A
HSP70 glucose regulation BIP


RNASE1
Pancreatic RNAase


IFIT2
Interferon induced tetratricopeptide


TAXIBP3
(TIP1) cell motility T cell leukemia virus binding protein


ARL4A
Meiosis


ITGAM
IntegrinaM macrophage receptor C3B complement related CD11B



recruitment of leukocytes to site of vessel-injury


RNASE2
RNAase (liver eosinophil derived neurotoxin) immune response


THBD
Thrombomodulin activates degradation of factors Va and VIIIa reduces



thrombin







28








MGC14376
?


H3F3B
Histon 3B


LYGE
Lymphocyte antigen 6 hematopoetic signaling


TMEM39A
Transmembrane


TRIB1
Tribbles homolog 1 Signal transduction regulation







29








BIN1
Bridging integrator adaptor nucleus cytoplasm phosphoinositides



(AMPH related)


H3F3B
Histon 3B


TAXIBP3
(TIP1) cell motility T cell leukemia virus binding protein


BTN3A1
Lipid metabolism butyrophylin


PDCD4
Programmed cell death 4 nucleus proliferating cells NKT


CENTA2
Binds PIP2 signal







30








HLX1
H2.0 like Homeobox hematopoetic cells differentiation immune



activation


HLA-DPA1
Antigen presentation







31








CALM1
Calmodulin1 growth cells cycle signal


ARHGAP19
Rho GTPase activating protein


TAP2
Transporter 2 ABC/B MDR/TAP antigen presentation


CXCR3
chimokine receptor 3 migration recruitment


IFIH1
Interferon induced with helicase C domain activates antiviral (RNA



virus) response induce terminal differentiation


MAFB
Regulate megakaryocite differentiation


DAB2
Growth of tissue embryonic development







32








HLA-DPA1
Antigen presentation


ARHGAP19
Rho GTPase activating protein


CXCR3
chimokine receptor 3 migration recruitment


HLX1
H2.0 like Homeobox hematopoetic cells differentiation immune



activation


THBD
Thrombomodulin activates degradation of factors Va and VIIIa reduces



thrombin


HELZ
Helicase zink finger


NGRN
Neugrin neurite outgrowth differentiation


CFLAR
Caspase 8 and FADD like apoptosis regulator


MERTK
Thrombotic response platelet activation


SEMA4C
Growth-cone guidance growing tissue


IFIT2
Interferon induced tetratricopeptide


STAB1
Stabilin1 scavenger receptor PM<-> EE traffic


DYSF
Dysferlin limb-gridle muscular dystrophy 2B calcium mediated



membrane fusion autoimmune disease


CEBPD
CCAAT/enhancer binding protein (C/EBP), delta transcription



activation differentiation macrophages







33








CTSB
Cathepsin B cysteine proteinase


HELZ
Helicase zink finger


JARID2
Jumonji Nuclear prevents cell replication


CFLAR
Caspase 8 and FADD like apoptosis regulator


MARCH1
Membrane associated ring finger (CSHCU)1 down-regulation of


(219574_at)
MHC1 by ubiquitin ligase


BCL6
Zink finger prot 51 modulate the transcription of START-dependent IL-



4 responses of B cells







34








SASH1
SAM and SH3 daomain containing reduced in cancer cell cycle


ARL4A
Meiosis


MARCKSL1
MARCKS like brain organization


CYB561
Cytochrome B senescence iron


HSP5A
HSP70 glucose regulation BIP


MMP9
Matrix metalloproteinase arthritis IL8 mobolization of hematopoetic



progenitors


DENND2D
DENN/MADD domain containing 2D


H3F3B
Histon 3B


SCARB2
Scavenger receptor B2 lysosome endosome LIMP2


GPR30
G protein receptor estrogen response







35








CEBPD
CCAAT/enhancer binding protein (C/EBP), delta transcription



activation differentiation macrophages


HLA-DPA1
Antigen presentation


ITGAM
IntegrinaM macrophage receptor C3B complement related CD11B



recruitment of leukocytes to site of vessel-injury







36








DICER1
RNA helicase (RNAi)


DDEF1
Development differentiation enhancing factor-1 GAP activity motility


IL2RG
IL2 receptor scid


JARID2
Jumonji Nuclear prevents cell replication







37








H3F3B
Histon 3B


SCARB2
Scavenger receptor B2 lysosome endosome LIMP2


GPR30
G protein receptor estrogen response


SASH1
SAM and SH3 daomain containing reduced in cancer cell cycle


CXCR3
chimokine receptor 3 migration recruitment


IFIH1
Interferon induced with helicase C domain activates antiviral (RNA



virus) response induce terminal differentiation


THBD
Thrombomodulin activates degradation of factors Va and VIIIa reduces



thrombin


BIN1
Bridging integrator adaptor nucleus cytoplasm phosphoinositides



(AMPH related)


MGC14376
?


PER1
Period homolog circadian expression


KLHL2
Kelch like 2 redistribute cytoskeleton punctation neuron depolarization



differentiation? Macrophage response







38








HSP5A
HSP70 glucose regulation BIP


MMP9
Matrix metalloproteinase arthritis IL8 mobolization of hematopoetic



progenitors


TAP2
Transporter 2 ABC/B MDR/TAP antigen presentation


SASH1
SAM and SH3 daomain containing reduced in cancer cell cycle


TAXIBP3
(TIP1) cell motility T cell leukemia virus binding protein


CDKAL1
CDK5 regulatory subunit like iron binding


KIF22
Kinesin22 cell division motor


C6orf149


LYRM4
LYR motif containing mitochondria?







39








GPR30
G protein receptor estrogen response


SASH1
SAM and SH3 daomain containing reduced in cancer cell cycle


H3F3B
Histon 3B







40








C3AR1
Complement component 3a receptor 1 protein receptor to anaphylaxsis



C3a activate macrophages


TAP2
Transporter 2 ABC/B MDR/TAP antigen presentation


SCARB2
Scavenger receptor B2 lysosome endosome LIMP2


CDKAL1
CDK5 regulatory subunit like iron binding







41








CFLAR
Caspase 8 and FADD like apoptosis regulator


TAXIBP3
(TIP1) cell motility T cell leukemia virus binding protein


CYB561
Cytochrome B senescence iron


CTSB
Cathepsin B cysteine proteinase


HELZ
Helicase zink finger


HLA-DPA1
Antigen presentation


LYGE
Lymphocyte antigen 6 hematopoetic signaling


CENTA2
Binds PIP2 signal


IRF1
Interferon regulatory factor transcription factor antiviral defence


CDC42EP3
Rho GTPAse negative regulator induce pseudopodia


GALNS
Galactosamine 6 sulfate sulfatase MPSIVA







42








FNTA
Fernisyl transferase CAAX box connects fernisyl to protein cysteins


NGRN
Neugrin neurite outgrowth differentiation


DAB2
Growth of tissue embryonic development







43








CDC42EP3
Rho GTPAse negative regulator induce pseudopodia


HELZ
Helicase zink finger


CFLAR
Caspase 8 and FADD like apoptosis regulator


DAB2
Growth of tissue embryonic development


MMP9
Matrix metalloproteinase arthritis IL8 mobolization of hematopoetic



progenitors


DDEF1
Development differentiation enhancing factor-1 GAP activity motility


UBE2J1
Ubiquitin conjugating enzyme ER degradation







44








CYB561
Cytochrome B senescence iron


CFLAR
Caspase 8 and FADD like apoptosis regulator


IRF1
Interferon regulatory factor transcription factor antiviral defence


SASH1
SAM and SH3 daomain containing reduced in cancer cell cycle


CXCR3
chimokine receptor 3 migration recruitment


RFX5
Regulatory factor 5 HLA II expression nuclear protein activates MHC



promoters collagen


PSME1
Proteasome activation subunite 1 makes immuno proteasome


SYK
Spleen tyrosine kinase







45








TAXIBP3
(TIP1) cell motility T cell leukemia virus binding protein


DDEF1
Development differentiation enhancing factor-1 GAP activity motility


IL2RG
IL2 receptor scid


DAB2
Growth of tissue embryonic development


CFLAR
Caspase 8 and FADD like apoptosis regulator


CXCR3
chimokine receptor 3 migration recruitment


CDKAL1
CDK5 regulatory subunit like iron binding


HSP5A
HSP70 glucose regulation BIP


BIN1
Bridging integrator adaptor nucleus cytoplasm phosphoinositides



(AMPH related)


IFIH1
Interferon induced with helicase C domain activates antiviral (RNA



virus) response induce terminal differentiation


SEMA4C
Growth-cone guidance growing tissue


MAFB
Regulate megakaryocite differentiation


IL32
Induce by T cell NK cell activation activates TNF in macrophages







46








SYK
Spleen tyrosine kinase


CYB561
Cytochrome B senescence iron







47








BTN3A1
Lipid metabolism butyrophylin


PADI4
Peptidyl arginine deaminase granulocyte, macrophage development



inflammation


IFIH1
Interferon induced with helicase C domain activates antiviral (RNA virus)



response induce terminal differentiation


DAB2
Growth of tissue embryonic development


HTRA1
Serine peptidase 1 reguate IGF1 response cell growth


SLC2A3
Facilitated glucose transport induced in hypoxia


PDCD4
Programmed cell death 4 nucleus proliferating cells NKT


BIN1
Bridging integrator adaptor nucleus cytoplasm phosphoinositides



(AMPH related)







48








FLT3
fms-related tyrosine kinase 3 receptor regulates hematopoiesis


VSIG4
V-set and immunoglobulin domain containing specific expression on



resting macrophages suggests important for the maintenance of T cell



unresponsiveness in healthy tissues







49








MGAM
maltase-glucoamylase, brush border membrane granulocytes


AHR
Aryl hydrocarbon receptor transcription factor aromatic activates CYP



cell adheasion migration







50








GALNS
Galactosamine 6 sulfate sulfatase MPSIVA


NGRN
Neugrin neurite outgrowth differentiation


CFLAR
Caspase 8 and FADD like apoptosis regulator







51








RNASE2
RNAase (liver eosinophil derived neurotoxin) immune response


CDKAL1
CDK5 regulatory subunit like iron binding







52








MERTK
Thrombotic response platelet activation


DDEF1
Development differentiation enhancing factor-1 GAP activity motility


HLA-DPA1
Antigen presentation







53








CREB5
cAMP responsive element binding protein 5


HIP1
membrane-associated protein colocalizes with huntingtin hematopoietic



malignancies







54








ITGAM
IntegrinaM macrophage receptor C3B complement related CD11B



recruitment of leukocytes to site of vessel-injury


ARHGAP19
Rho GTPase activating protein


CDKAL1
CDK5 regulatory subunit like iron binding


CEBPD
CCAAT/enhancer binding protein (C/EBP), delta transcription



activation differentiation macrophages


TAP2
Transporter 2 ABC/B MDR/TAP antigen presentation







55








HIP1
membrane-associated protein colocalizes with huntingtin hematopoietic



malignancies


CREB5
cAMP responsive element binding protein 5







56








ARL4A
Meiosis


CDKAL1
CDK5 regulatory subunit like iron binding


SASH1
SAM and SH3 daomain containing reduced in cancer cell cycle


DENND2D
DENN/MADD domain containing 2D







57








VSIG4
V-set and immunoglobulin domain containing specific expression on



resting macrophages suggests important for the maintenance of T cell



unresponsiveness in healthy tissues


FLT3
fms-related tyrosine kinase 3 receptor regulates hematopoiesis







58








TAP2
Transporter 2 ABC/B MDR/TAP antigen presentation


ITGAM
IntegrinaM macrophage receptor C3B complement related CD11B



recruitment of leukocytes to site of vessel-injury


HSP5A
HSP70 glucose regulation BIP


LYGE
Lymphocyte antigen 6 hematopoetic signaling


C3AR1
Complement component 3a receptor 1 protein receptor to anaphylaxsis



C3a activate macrophages


SEMA4C
Growth-cone guidance growing tissue


KIF22
Kinesin22 cell division motor


JARID2
Jumonji Nuclear prevents cell replication


MARCH1
Membrane associated ring finger (CSHCU)1 down-regulation of


(219574_at)
MHC1 by ubiquitin ligase


IFIT2
Interferon induced tetratricopeptide


CALM1
Calmodulin1 growth cells cycle signal


YES1
Oncogene TK


ALOX5
arachidonate 5-lipoxygenase Prcursor for leukotrien immune rsponse



vascular hypoxia


S100A8
Inflammation activation by macrophages and granulocytes leukocyte



trafficking and arachidonic acid metabolism







59








F5
Coagulation factor V (proaccelerin labile factor) thrombosis


SCARB2
Scavenger receptor B2 lysosome endosome LIMP2







60








ALOX5
arachidonate 5-lipoxygenase Prcursor for leukotrien immune rsponse



vascular hypoxia


TAP2
Transporter 2 ABC/B MDR/TAP antigen presentation







61








IL2RG
IL2 receptor scid


CENTA2
Binds PIP2 signal


TAXIBP3
(TIP1) cell motility T cell leukemia virus binding protein


IL32
Induce by T cell NK cell activation activates TNF in macrophages


DICER1
RNA helicase (RNAi)







62








MMP9
Matrix metalloproteinase arthritis IL8 mobolization of hematopoetic



progenitors


HSP5A
HSP70 glucose regulation BIP


SASH1
SAM and SH3 daomain containing reduced in cancer cell cycle


AHR
Aryl hydrocarbon receptor transcription factor aromatic activates CYP



cell adheasion migration


HTRA1
Serine peptidase 1 reguate IGF1 response cell growth


PADI4
Peptidyl arginine deaminase granulocyte, macrophage development



inflammation


CDC42EP3
Rho GTPAse negative regulator induce pseudopodia







63








THBD
Thrombomodulin activates degradation of factors Va and VIIIa reduces



thrombin


CDKAL1
CDK5 regulatory subunit like iron binding


HLA-DPA1
Antigen presentation


H3F3B
Histon 3B







64








IL32
Induce by T cell NK cell activation activates TNF in macrophages


IL2RG
IL2 receptor scid


TAXIBP3
(TIP1) cell motility T cell leukemia virus binding protein


JARID2
Jumonji Nuclear prevents cell replication







65








HELZ
Helicase zink finger


KIF22
Kinesin22 cell division motor


JARID2
Jumonji Nuclear prevents cell replication


HLA-DPA1
Antigen presentation


SCARB2
Scavenger receptor B2 lysosome endosome LIMP2


CDC42EP3
Rho GTPAse negative regulator induce pseudopodia


YES1
Oncogene TK


CFLAR
Caspase 8 and FADD like apoptosis regulator


CTSB
Cathepsin B cysteine proteinase







66








ASFA1
Histone chaperone DNA replication repair senescence


SCARB2
Scavenger receptor B2 lysosome endosome LIMP2


IMP3
U3 snoRNA







67








JARID2
Jumonji Nuclear prevents cell replication


YES1
Oncogene TK


HELZ
Helicase zink finger


SCARB2
Scavenger receptor B2 lysosome endosome LIMP2


CDKAL1
CDK5 regulatory subunit like iron binding


CTSB
Cathepsin B cysteine proteinase


IL32
Induce by T cell NK cell activation activates TNF in macrophages


AHR
Aryl hydrocarbon receptor transcription factor aromatic activates CYP



cell adheasion migration


DICER1
RNA helicase (RNAi)


TAP2
Transporter 2 ABC/B MDR/TAP antigen presentation


DAB2
Growth of tissue embryonic development


TRIB1
Tribbles homolog 1 Signal transduction regulation







68








BCL6
Zink finger prot 51 modulate the transcription of START-dependent IL-



4 responses of B cells


CTSB
Cathepsin B cysteine proteinase







69








RFX5
Regulatory factor 5 HLA II expression nuclear protein activates MHC



promoters collagen


CXCR3
chimokine receptor 3 migration recruitment


KIF22
Kinesin22 cell division motor


AHR
Aryl hydrocarbon receptor transcription factor aromatic activates CYP



cell adheasion migration


CYB561
Cytochrome B senescence iron


C6orf149


LYRM4
LYR motif containing mitochondria?


GLUL
Glutamate amonia ligase (glutamine synthase regulate body pH



removing amonia







70








YES1
Oncogene TK


JARID2
Jumonji Nuclear prevents cell replication


HELZ
Helicase zink finger


TAP2
Transporter 2 ABC/B MDR/TAP antigen presentation


CXCR3
chimokine receptor 3 migration recruitment


TMEM49
VMP1 vacuole formation







71








S100A8
Inflammation activation by macrophages and granulocytes leukocyte



trafficking and arachidonic acid metabolism


TAP2
Transporter 2 ABC/B MDR/TAP antigen presentation







72








PER1
Period homolog circadian expression


KIF22
Kinesin22 cell division motor


H3F3B
Histon 3B


FANCF
Fanconi's anemia complementation F adaptor DNA binding repair







73








AHR
Aryl hydrocarbon receptor transcription factor aromatic activates CYP



cell adheasion migration


JARID2
Jumonji Nuclear prevents cell replication


RFX5
Regulatory factor 5 HLA II expression nuclear protein activates MHC



promoters collagen


MMP9
Matrix metalloproteinase arthritis IL8 mobolization of hematopoetic



progenitors


IFIT2
Interferon induced tetratricopeptide


MGAM
maltase-glucoamylase, brush border membrane granulocytes


SLC2A3
Facilitated glucose transport induced in hypoxia







74








PDCD4
Programmed cell death 4 nucleus proliferating cells NKT


SCARB2
Scavenger receptor B2 lysosome endosome LIMP2


ARHGAP19
Rho GTPase activating protein


NGRN
Neugrin neurite outgrowth differentiation


BIN1
Bridging integrator adaptor nucleus cytoplasm phosphoinositides



(AMPH related)


IFIH1
Interferon induced with helicase C domain activates antiviral (RNA virus)



response induce terminal differentiation


MARCH1
Membrane associated ring finger (CSHCU) 1 down-regulation of


(219574_at)
MHC1 by ubiquitin ligase


BTN3A1
Lipid metabolism butyrophylin







75








IRF1
Interferon regulatory factor transcription factor antiviral defence


CYB561
Cytochrome B senescence iron


CFLAR
Caspase 8 and FADD like apoptosis regulator


PSME1
Proteasome activation subunite 1 makes immuno proteasome


IFIT2
Interferon induced tetratricopeptide


IFIH1
Interferon induced with helicase C domain activates antiviral (RNA virus)



response induce terminal differentiation


LYGE
Lymphocyte antigen 6 hematopoetic signaling







76








SLC2A3
Facilitated glucose transport induced in hypoxia


AHR
Aryl hydrocarbon receptor transcription factor aromatic activates CYP



cell adheasion migration


BTN3A1
Lipid metabolism butyrophylin


DDEF1
Development differentiation enhancing factor-1 GAP activity motility







77








CYP1B1
Steroid metabolism signaling eye


MARCH1
Membrane associated ring finger (CSHCU)1 down-regulation of


(219574_at)
MHC1 by ubiquitin ligase







78








TRIB1
Tribbles homolog 1 Signal transduction regulation


JARID2
Jumonji Nuclear prevents cell replication


MGC14376
?







79








LYGE
Lymphocyte antigen 6 hematopoetic signaling


MGC14376
?


CFLAR
Caspase 8 and FADD like apoptosis regulator


MARCH1
Membrane associated ring finger (CSHCU)1 down-regulation of


(219574_at)
MHC1 by ubiquitin ligase


IRF1
Interferon regulatory factor transcription factor antiviral defence


IFIT2
Interferon induced tetratricopeptide


SCARB2
Scavenger receptor B2 lysosome endosome LIMP2


TAP2
Transporter 2 ABC/B MDR/TAP antigen presentation







80








CXCR3
chimokine receptor 3 migration recruitment


CDKAL1
CDK5 regulatory subunit like iron binding


RNASE1
Pancreatic RNAase







81








DAB2
Growth of tissue embryonic development


BTN3A1
Lipid metabolism butyrophylin


JARID2
Jumonji Nuclear prevents cell replication


DDEF1
Development differentiation enhancing factor-1 GAP activity motility


CDC42EP3
Rho GTPAse negative regulator induce pseudopodia


TAXIBP3
(TIP1) cell motility T cell leukemia virus binding protein


CALM1
Calmodulin1 growth cells cycle signal


SEMA4C
Growth-cone guidance growing tissue


FNTA
Fernisyl transferase CAAX box connects fernisyl to protein cysteins







82








HTRA1
Serine peptidase 1 reguate IGF1 response cell growth


BTN3A1
Lipid metabolism butyrophylin


MMP9
Matrix metalloproteinase arthritis IL8 mobolization of hematopoetic



progenitors


CR1
Complement receptor red/white blood cells membrane malaria receptor







83








PSME1
Proteasome activation subunite 1 makes immuno proteasome


IRF1
Interferon regulatory factor transcription factor antiviral defence


CYB561
Cytochrome B senescence iron


IFIT2
Interferon induced tetratricopeptide


PECI
Peroxisomal enoyl CoA isomerase b Oxidation FA







84








MARCKSL1
MARCKS like brain organization


SASH1
SAM and SH3 daomain containing reduced in cancer cell cycle


NGRN
Neugrin neurite outgrowth differentiation









Example 9
Differential Expression Associated with Hemorrhagic Stroke

This example describes particular changes in expression, such as gene or protein expression, that are associated with hemorrhagic stroke, such as intracerebral hemorrhagic stroke. Although particular hemorrhagic stroke-related molecules are listed in this example, one skilled in the art will appreciated that other molecules can be used based on the teachings in this disclosure.


In particular examples, detecting differential expression includes detecting differences in expression (such as an increase, decrease, or both). The method can further include determining the magnitude of the difference in expression, wherein the magnitude of the change is associated with hemorrhagic stroke. Particular examples of hemorrhagic stroke-related molecules that are differentially expressed in association with the diagnosis of a hemorrhagic stroke, such as an ICH stroke, and their direction of change (upregulated or downregulated), and the magnitude of the change (as expressed as a percent, t-statistic, and fold change) are provided in Table 12.









TABLE 12







Exemplary patterns of expression associated with hemorrhagic stroke









Hemorrhagic Stroke
Change in



Molecule
Expression
Magnitude of the change





CD163
upregulated
t-statistic of at least 5 (such as




at least 8)




at least 50%




at least 4-fold


IL1R2
upregulated
t-statistic of at least 10 (such




as at least 19)




at least 50%




at least 4-fold


Acyl-CoA synthease long
upregulated
t-statistic of at least 6 (such as


chain family member 1

at least 7)




at least 50%




at least 4-fold


Amphiphysin
upregulated
t-statistic of at least 20 (such




as at least 24)




at least 50%




at least 4-fold


haptoglobin
upregulated
t-statistic of at least 4 (such as




at least 5)




at least 50%




at least 4-fold


TAP2
downregulated
t-statistic of no more than −5




(such as no more than −8




at least 50%




at least 4-fold


semaphorin 4C
downregulated
t-statistic of no more than −5


(Sema4C)

(such as no more than −8.5)




at least 50%




at least 4-fold


Granzyme M
downregulated
t-statistic of no more than −




(such as no more than −7.5)




at least 50%




at least 4-fold









Therefore, IL1R2, Acyl-CoA synthease long chain family member 1, amphiphysin, and CD163 are upregulated by a magnitude of at least 50%, at least 4-fold or have a t-statistic of at least 5. That is, IL1R2, Acyl-CoA synthease long chain family member 1, amphiphysin, and CD163 are upregulated by an amount associated with hemorrhagic stroke, for example at least 50% or at least 4-fold (or have a t-statistic of at least 5). In addition, TAP2 and Sema4C are downregulated by a magnitude of at least 50%, at least 4-fold or have a t-statistic of no more than −5. That is, TAP2 and Sema4C are downregulated by an amount associated with hemorrhagic stroke, for example at least 50% or at least 4-fold (or have a t-statistic of no more than −5).


One example of a pattern of expression of proteins that have been found to be associated with hemorrhagic stroke, such as upregulation of IL1R2, Acyl-CoA synthease long chain family member 1, and amphiphysin wherein the magnitude of change is at least 4-fold for each of IL1R2, Acyl-CoA synthease long chain family member 1, and amphiphysin. Another example of a pattern of expression of proteins that have been found to be associated with hemorrhagic stroke is as downregulation of TAP2 and Sema4C for example wherein the magnitude of change is at least 4-fold for each of these proteins.


Example 10
Adjustment for Race, Gender, Age, and Time of Blood Draw

This example describes methods used to adjust the stroke gene profile for race, age, gender, and time of blood draw.


The data obtained in Example 3 (CEL files of 8 patients with confirmed ICH, 19 ischemic stroke subjects and 18 referent control subjects) was analyzed as follows. Sample outlier analysis was performed using covariance-based Principal Component Analysis (PCA) and Pearson Correlation Analysis. PCA was used to identify those samples causing cross-sample compression by component biplot; Pearson Correlation Analysis was used to identify any sample having a cross-sample correlation value less than 0.70 70% of the time. Samples identified by either method were classified as outliers and removed from further analysis. LOWESS (LOcally WEighted Scatter plot Smoothing) was used for noise analysis. Sample data was divided into groups based on disease class, where the data within each group was used to calculate the coefficient of variation (C.V.) and the median RMA (Robust Multi-array Analysis) expression value for each gene probe. LOWESS was then used to model C.V. by median RMA expression within each group; rendering class-specific noise curves. The resulting noise curves were then interrogated to find the greatest median RMA expression value at which C.V. decreases as median RMA expression decreases. This value was used to define system noise. RMA expression values less than system noise were reset to equal the value of system noise. The mean RMA expression value within each disease class for each gene probe was calculated and used to remove those gene probes from further analysis that do not have at least one class with a mean RMA expression value greater than system noise.


To determine the effect of gender and race on gene expression, Analysis of Variance (ANOVA) was used. RMA expression values for all samples were paired with the corresponding gender or race of the person the sample was collected from. ANOVA was performed on a gene fragment by gene fragment basis using gender or race as a factor. Resulting significance values were captured post ANOVA and interrogated using a false-discovery rate (FDR) multiple comparison correction (MCC) procedure. Gene fragments having a significance value less than 0.05 under FDR MCC condition were classified as significantly associated with gender or race (Table 13). Such genes are ideally not used to determine if a subject has suffered a stroke, or to classify a stroke as hemorrhagic or ischemic, as expression of these genes is associated with gender or race.


To determine the effect of age on gene expression, Spearman Correlation Analysis was used. RMA expression values for all samples were paired with the corresponding age of the person the sample was collected from. Spearman Correlation Analysis was performed on a gene fragment by gene fragment basis. Resulting significance values were captured post analysis and interrogated using a false-discovery rate (FDR) multiple comparison correction (MCC) procedure. Gene fragments having a significance value less than 0.05 under FDR MCC condition were classified as significantly associated with age. As shown in Table 13, no gene expression was significantly associated with age.


To determine the effect of draw time on gene expression, Pearson Correlation Analysis was used. RMA expression values for all samples were paired with the corresponding draw time that the sample was collected. Pearson Correlation Analysis was performed on a gene fragment by gene fragment basis. Resulting significance values were captured post analysis and interrogated using a false-discovery rate (FDR) multiple comparison correction (MCC) procedure. Gene fragments having a significance value less than 0.05 under FDR MCC condition were classified as significantly associated with draw time (Table 13). The genes listed in Table 13 with p-values significant for draw time may reflect changes in expression that occur over time following a stroke. Therefore, such markers can be used to determine if a subject has suffered a stroke or classify the stroke as ischemic or hemorrhagic. Therefore, in some examples, the methods provided herein do the genes listed in Table 13 with p-values significant for draw time, and in some examples, the arrays provided herein include one or more of the markers listed in Table 13 with p-values significant for draw time.


As shown in Table 13, 24 gene probes had p-values significant for gender (noted to be genes on the X or Y chromosome), 6 gene probes had p-values significant for race, no gene probes had p-values significant for age, and 137 gene probes had p-values significant for time of blood draw. Therefore, the genes listed in Table 13 with p-values significant for gender or race are not ideal candidates for identification of subjects who have suffered a stroke or classification of whether the subject had an ischemic or hemorrhagic stroke, as expression of these genes was correlated with non-stroke factors (gender, race). Therefore, in some examples, the methods provided herein do not use any of the genes listed in Table 13 with p-values significant for gender or race, and in some examples, the arrays provided herein do not include the markers listed in Table 13 with p-values significant for gender or race.









TABLE 13







Genes with significant p-values for gender, race, age, or draw time.












Probe Set ID{circumflex over ( )}
Gender
Race
Age
Draw Time
Gene Name





201909_at
Yes
No
No
No
ribosomal protein S4, Y-linked 1


221728_x_at
Yes
No
No
No
X (inactive)-specific transcript


214218_s_at
Yes
No
No
No
X (inactive)-specific transcript


206700_s_at
Yes
No
No
No
jumonji, AT rich interactive







domain 1D


205000_at
Yes
No
No
No
DEAD (Asp-Glu-Ala-Asp) box







polypeptide 3, Y-linked


205001_s_at
Yes
No
No
No
DEAD (Asp-Glu-Ala-Asp) box







polypeptide 3, Y-linked


210322_x_at
Yes
No
No
No
ubiquitously transcribed







tetratricopeptide repeat gene, Y-







linked


204409_s_at
Yes
No
No
No
eukaryotic translation initiation







factor 1A, Y-linked


204410_at
Yes
No
No
No
eukaryotic translation initiation







factor 1A, Y-linked


203992_s_at
Yes
No
No
No
ubiquitously transcribed







tetratricopeptide repeat, X







chromosome


201019_s_at
Yes
No
No
No
eukaryotic translation initiation







factor 1A, X-linked /// eukaryotic







translation initiation factor 1A







pseudogene 1


208067_x_at
Yes
No
No
No
ubiquitously transcribed







tetratricopeptide repeat gene, Y-







linked


204061_at
Yes
No
No
No
protein kinase, X-linked


203974_at
Yes
No
No
No
haloacid dehalogenase-like







hydrolase domain containing 1A


206279_at
Yes
No
No
No
protein kinase, Y-linked


201016_at
Yes
No
No
No
eukaryotic translation initiation







factor 1A, X-linked


206769_at
Yes
No
No
No
thymosin, beta 4, Y-linked


216342_x_at
Yes
No
No
No
similar to 40S ribosomal protein







S4, X isoform


200933_x_at
Yes
No
No
No
ribosomal protein S4, X-linked


201018_at
Yes
No
No
No
eukaryotic translation initiation







factor 1A, X-linked


208174_x_at
Yes
No
No
No
zinc finger (CCCH type), RNA-







binding motif and serine/arginine







rich 2


213876_x_at
Yes
No
No
No
zinc finger (CCCH type), RNA-







binding motif and serine/arginine







rich 2


206624_at
Yes
No
No
No
ubiquitin specific peptidase 9, Y-







linked (fat facets-like,








Drosophila)



203990_s_at
Yes
No
No
No
ubiquitously transcribed







tetratricopeptide repeat, X







chromosome


205048_s_at
No
Yes
No
No
phosphoserine phosphatase


219038_at
No
Yes
No
No
MORC family CW-type zinc







finger 4


214912_at
No
Yes
No
No



205085_at
No
Yes
No
No
origin recognition complex,







subunit 1-like (yeast)


212911_at
No
Yes
No
No
DnaJ (Hsp40) homolog,







subfamily C, member 16


208919_s_at
No
Yes
No
No
NAD kinase


209446_s_at
No
No
No
Yes
chromosome 7 open reading







frame 44


217523_at
No
No
No
Yes
CD44 molecule (Indian blood







group)


215221_at
No
No
No
Yes
Forkhead box P1


215404_x_at
No
No
No
Yes
fibroblast growth factor receptor







1 (fms-related tyrosine kinase 2,







Pfeiffer syndrome)


222152_at
No
No
No
Yes
Programmed cell death 6


222186_at
No
No
No
Yes
Zinc finger, AN1-type domain 6


215577_at
No
No
No
Yes
Ubiquitin-conjugating enzyme







E2E 1 (UBC4/5 homolog, yeast)


215375_x_at
No
No
No
Yes
Leucine rich repeat (in FLII)







interacting protein 1


222133_s_at
No
No
No
Yes
PHD finger protein 20-like 1


222357_at
No
No
No
Yes
zinc finger and BTB domain







containing 20


217653_x_at
No
No
No
Yes



210210_at
No
No
No
Yes
myelin protein zero-like 1


221616_s_at
No
No
No
Yes
TAF9B RNA polymerase II,







TATA box binding protein







(TBP)-associated factor, 31 kDa


222214_at
No
No
No
Yes
CDNA: FLJ21335 fis, clone







COL02546


220113_x_at
No
No
No
Yes
polymerase (RNA) I polypeptide







B, 128 kDa


215888_at
No
No
No
Yes
Androgen-induced proliferation







inhibitor


216211_at
No
No
No
Yes
Chromosome 10 open reading







frame 18


204055_s_at
No
No
No
Yes
CTAGE family, member 5


205317_s_at
No
No
No
Yes
solute carrier family 15







(H+/peptide transporter),







member 2


206088_at
No
No
No
Yes
leucine rich repeat containing 37,







member A2


206965_at
No
No
No
Yes
Kruppel-like factor 12


210282_at
No
No
No
Yes
zinc finger, MYM-type 2


210528_at
No
No
No
Yes
major histocompatibility







complex, class I-related


210742_at
No
No
No
Yes
CDC14 cell division cycle 14







homolog A (S. cerevisiae)


214163_at
No
No
No
Yes
Chromosome 1 open reading







frame 41


214405_at
No
No
No
Yes
CUG triplet repeat, RNA binding







protein 2


215105_at
No
No
No
Yes
hypothetical gene CG030


215151_at
No
No
No
Yes
dedicator of cytokinesis 10


215175_at
No
No
No
Yes
pecanex homolog (Drosophila)


215190_at
No
No
No
Yes
PCI domain containing 1







(herpesvirus entry mediator)


215191_at
No
No
No
Yes
CDNA FLJ14085 fis, clone







HEMBB1002534


215204_at
No
No
No
Yes
SUMO1/sentrin specific







peptidase 6


215385_at
No
No
No
Yes
Fatso


215392_at
No
No
No
Yes
Ubiquitin specific peptidase 3


215599_at
No
No
No
Yes
SMA4 /// similar to SMA4


215750_at
No
No
No
Yes
KIAA1659 protein


215786_at
No
No
No
Yes
Remodeling and spacing factor 1


216000_at
No
No
No
Yes
KIAA0484 protein


216006_at
No
No
No
Yes
WAS/WASL interacting protein







family, member 2


216012_at
No
No
No
Yes
Unidentified mRNA, partial







sequence


216109_at
No
No
No
Yes
Thyroid hormone receptor







associated protein 2


216170_at
No
No
No
Yes
Eukaryotic translation elongation







factor 1 gamma


216197_at
No
No
No
Yes
activating transcription factor 7







interacting protein


216527_at
No
No
No
Yes
HLA complex group 18


216614_at
No
No
No
Yes
Inositol 1,4,5-triphosphate







receptor, type 2


216765_at
No
No
No
Yes
Mitogen-activated protein kinase







kinase 5


219871_at
No
No
No
Yes
hypothetical protein FLJ13197 ///







hypothetical protein LOC727852







/// hypothetical protein







LOC731366


220085_at
No
No
No
Yes
helicase, lymphoid-specific


220221_at
No
No
No
Yes
vacuolar protein sorting 13







homolog D (S. cerevisiae)


220609_at
No
No
No
Yes
hypothetical protein LOC202181


220694_at
No
No
No
Yes
DDEF1 intronic transcript 1


220704_at
No
No
No
Yes
IKAROS family zinc finger 1







(Ikaros)


221617_at
No
No
No
Yes
TAF9B RNA polymerase II,







TATA box binding protein







(TBP)-associated factor, 31 kDa


222286_at
No
No
No
Yes
small nuclear RNA activating







complex, polypeptide 3, 50 kDa


222310_at
No
No
No
Yes
splicing factor, arginine/serine-







rich 15


222313_at
No
No
No
Yes
CCR4-NOT transcription







complex, subunit 2


222358_x_at
No
No
No
Yes
Asparagine-linked glycosylation







13 homolog (S. cerevisiae)


217671_at
No
No
No
Yes
Regulatory factor X, 3







(influences HLA class II







expression)


222371_at
No
No
No
Yes
Protein inhibitor of activated







STAT, 1


217482_at
No
No
No
Yes
CDNA FLJ11925 fis, clone







HEMBB1000354


215383_x_at
No
No
No
Yes
spastic paraplegia 21, maspardin







(autosomal recessive, Mast







syndrome)


216682_s_at
No
No
No
Yes
family with sequence similarity







48, member A


212991_at
No
No
No
Yes
F-box protein 9


221184_at
No
No
No
Yes



220814_at
No
No
No
Yes



205603_s_at
No
No
No
Yes
diaphanous homolog 2







(Drosophila)


207324_s_at
No
No
No
Yes
desmocollin 1


219906_at
No
No
No
Yes
hypothetical protein FLJ10213


220969_s_at
No
No
No
Yes



211435_at
No
No
No
Yes



203742_s_at
No
No
No
Yes
thymine-DNA glycosylase ///







similar to G/T mismatch-specific







thymine DNA glycosylase ///







similar to G/T mismatch-specific







thymine DNA glycosylase


222306_at
No
No
No
Yes
Hypothetical protein MGC61571


207365_x_at
No
No
No
Yes
ubiquitin specific peptidase 34


208854_s_at
No
No
No
Yes
serine/threonine kinase 24







(STE20 homolog, yeast)


217164_at
No
No
No
Yes



217715_x_at
No
No
No
Yes
Zinc finger protein 354A


214153_at
No
No
No
Yes
ELOVL family member 5,







elongation of long chain fatty







acids (FEN1/Elo2, SUR4/Elo3-







like, yeast)


206061_s_at
No
No
No
Yes
Dicer1, Dcr-1 homolog







(Drosophila)


217985_s_at
No
No
No
Yes
bromodomain adjacent to zinc







finger domain, 1A


215169_at
No
No
No
Yes
solute carrier family 35, member







E2


222282_at
No
No
No
Yes
PAP associated domain







containing 4


222061_at
No
No
No
Yes
CD58 molecule


202518_at
No
No
No
Yes
B-cell CLL/lymphoma 7B


202682_s_at
No
No
No
Yes
ubiquitin specific peptidase 4







(proto-oncogene)


205740_s_at
No
No
No
Yes
hypothetical protein MGC10433


222266_at
No
No
No
Yes
Chromosome 19 open reading







frame 2


208241_at
No
No
No
Yes
neuregulin 1


219957_at
No
No
No
Yes
RUN and FYVE domain







containing 2


215322_at
No
No
No
Yes
LON peptidase N-terminal







domain and ring finger 1


213229_at
No
No
No
Yes
Dicer1, Dcr-1 homolog







(Drosophila)


203273_s_at
No
No
No
Yes
tumor suppressor candidate 2


220777_at
No
No
No
Yes
kinesin family member 13A


201727_s_at
No
No
No
Yes
ELAV (embryonic lethal,







abnormal vision, Drosophila)-







like 1 (Hu antigen R)


211034_s_at
No
No
No
Yes
AF-1 specific protein







phosphatase


207436_x_at
No
No
No
Yes
KIAA0894 protein


221192_x_at
No
No
No
Yes
hypothetical protein ET


214594_x_at
No
No
No
Yes
ATPase, Class I, type 8B,







member 1


213158_at
No
No
No
Yes

Homo sapiens, clone








IMAGE: 4214654, mRNA


215374_at
No
No
No
Yes
Poly(A) polymerase alpha


212542_s_at
No
No
No
Yes
pleckstrin homology domain







interacting protein


221915_s_at
No
No
No
Yes
RAN binding protein 1


206848_at
No
No
No
Yes
homeobox A7


216524_x_at
No
No
No
Yes
Roundabout, axon guidance







receptor, homolog 2 (Drosophila)


215761_at
No
No
No
Yes
Dmx-like 2


215083_at
No
No
No
Yes
Paraspeckle component 1


221718_s_at
No
No
No
Yes
A kinase (PRKA) anchor protein







13


215179_x_at
No
No
No
Yes
Placental growth factor, vascular







endothelial growth factor-related







protein


215528_at
No
No
No
Yes
Mannosyl (alpha-1,6-)-







glycoprotein beta-1,6-N-acetyl-







glucosaminyltransferase


206169_x_at
No
No
No
Yes
zinc finger CCCH-type







containing 7B


212847_at
No
No
No
Yes
Far upstream element (FUSE)







binding protein 1


201628_s_at
No
No
No
Yes
Ras-related GTP binding A


215754_at
No
No
No
Yes
scavenger receptor class B,







member 2


213956_at
No
No
No
Yes
centrosomal protein 350 kDa


215545_at
No
No
No
Yes



215188_at
No
No
No
Yes
serine/threonine kinase 24







(STE20 homolog, yeast)


222366_at
No
No
No
Yes
Activity-dependent







neuroprotector


208498_s_at
No
No
No
Yes
amylase, alpha 1A; salivary ///







amylase, alpha 1B; salivary ///







amylase, alpha 1C; salivary ///







amylase, alpha 2A; pancreatic ///







amylase, alpha 2B (pancreatic) ///







similar to Pancreatic alpha-







amylase precursor (PA) (1,4-







alpha-D-glucan







glucanohydrolase)


207525_s_at
No
No
No
Yes
GIPC PDZ domain containing







family, member 1


203255_at
No
No
No
Yes
F-box protein 11


209385_s_at
No
No
No
Yes
proline synthetase co-transcribed







homolog (bacterial)


213089_at
No
No
No
Yes
glucuronidase, beta pseudogene 1


204373_s_at
No
No
No
Yes
centrosomal protein 350 kDa


213705_at
No
No
No
Yes
CDNA FLJ30007 fis, clone







3NB692000012


216187_x_at
No
No
No
Yes
Kinesin 2


208602_x_at
No
No
No
Yes
CD6 molecule


214902_x_at
No
No
No
Yes
LIM domain containing preferred







translocation partner in lipoma


221855_at
No
No
No
Yes
hypothetical protein LOC644096


202781_s_at
No
No
No
Yes
skeletal muscle and kidney







enriched inositol phosphatase


215287_at
No
No
No
Yes
ELISC-1


215588_x_at
No
No
No
Yes
RIO kinase 3 (yeast)


216870_x_at
No
No
No
Yes
deleted in lymphocytic leukemia,







2 /// deleted in lymphocytic







leukemia 2-like


213531_s_at
No
No
No
Yes
RAB3 GTPase activating protein







subunit 1 (catalytic)


214441_at
No
No
No
Yes
syntaxin 6


214289_at
No
No
No
Yes
Proteasome (prosome,







macropain) subunit, beta type, 1


220078_at
No
No
No
Yes
ubiquitin specific peptidase 48


212745_s_at
No
No
No
Yes
Bardet-Biedl syndrome 4


201602_s_at
No
No
No
Yes
protein phosphatase 1, regulatory







(inhibitor) subunit 12A


214722_at
No
No
No
Yes
Notch homolog 2 (Drosophila)







N-terminal like





{circumflex over ( )}Probe set ID number is the Affymetrix ID number on the HU133A array.






Example 11
Genes Associated with Stroke

This example describes methods used to identify genes whose expression differed significantly between normal subjects and those who have had a stroke (either IS or ICH). Such genes can be used as an initial diagnostic for stroke. For example, if a positive result is obtained, the hemorrhagic stroke-associated molecules provided herein (see for example Tables 2-8 and 15-16) can be used to determine if the subject suffered a hemorrhagic stroke. The ischemic stroke-associated molecules disclosed in PCT/US2005/018744 (and in Table 18 herein) and herein (Table 17) can be used to determine if the subject suffered an ischemic stroke.


The data obtained in Example 3 (CEL files of 8 patients with confirmed ICH, 19 ischemic stroke subjects and 18 referent control subjects) was analyzed as follows. The two-group Welch-modified t-test was used under sample-drop-and-replace condition. Sample data corresponding to samples negative for stroke were grouped into one group; while sample data corresponding to samples positive for ischemic or hemorrhagic stroke were grouped into a second group. The Welch-modified t-test was performed between the groups on a gene fragment by gene fragment basis under sample-drop-and-replace condition. With each test performed, the fold-change between group means was taken. Gene fragments that maintained a significance value less than 0.05 under False Discovery Rate Multiple Comparison Correction procedure and a fold-change magnitude>=1.25 100% of the time were noted as those Affymetrix gene fragments (and thus stroke-associated genes and proteins) that can serve as diagnostic markers for a stroke event (whether ischemic or hemmorhagic).


As shown in Table 14, genes (15 genes, 18 gene probes) common to both stroke types (ICS and IS) were identified. Expression of these genes was significantly upregulated in subjects who suffered a stroke, relative to normal subjects.









TABLE 14







Genes with significant differences in expression between normal and stroke










Probe Set





ID{circumflex over ( )}
FC*
PV#
Gene Title













201963_at
1.992420623
3.02E−05
acyl-CoA synthetase long-chain family





member 1


207275_s_at
1.953482897
1.21E−05
acyl-CoA synthetase long-chain family





member 1


203140_at
1.554408709
3.34E−05
B-cell CLL/lymphoma 6 (zinc finger protein





51)


213006_at
1.647911789
4.30E−05
CCAAT/enhancer binding protein (C/EBP),





delta


204714_s_at
1.729309374
1.65E−05
coagulation factor V (proaccelerin, labile





factor)


203184_at
1.549372636
4.29E−05
fibrillin 2 (congenital contractural





arachnodactyly)


218035_s_at
1.578732465
3.42E−05
RNA-binding protein


209189_at
2.160661253
4.13E−05
v-fos FBJ murine osteosarcoma viral





oncogene homolog


203674_at
1.251042323
6.29E−05
helicase with zinc finger


210128_s_at
1.351754436
4.32E−05
leukotriene B4 receptor


205147_x_at
1.435218781
3.45E−06
neutrophil cytosolic factor 4, 40 kDa


207677_s_at
1.491292788
3.92E−06
neutrophil cytosolic factor 4, 40 kDa


216913_s_at
1.329522337
4.67E−05
ribosomal RNA processing 12 homolog (S. cerevisiae)


204924_at
1.694642786
5.34E−06
toll-like receptor 2


202241_at
1.803331924
1.48E−06
tribbles homolog 1 (Drosophila)


217823_s_at
1.52051708
7.30E−08
ubiquitin-conjugating enzyme E2, J1 (UBC6





homolog, yeast)


217825_s_at
1.377971306
1.52E−05
ubiquitin-conjugating enzyme E2, J1 (UBC6





homolog, yeast)


201531_at
1.339829955
4.45E−07
zinc finger protein 36, C3H type, homolog





(mouse)





{circumflex over ( )}Probe set ID number is the Affymetrix ID number on the HU133A array.


*FC is the fold change between normal and stroke samples.



#PV is the p-value.







Example 12
Genes Associated with Ischemic and Hemorrhagic Stroke

This example describes methods used to identify genes whose expression differed significantly between normal subjects and those who have had an ischemic stroke or those who have had a hemorrhagic stroke. Such genes can be used as an initial diagnostic for ischemic stroke or a hemorrhagic stroke, or can be used following an initial stroke diagnosis (see Example 11).


The data obtained in Example 3 (CEL files of 8 patients with confirmed ICH, 19 ischemic stroke subjects and 18 referent control subjects) was analyzed as follows. Sample data corresponding to samples positive for hemorrhagic stroke were grouped into one group; while sample data corresponding to samples positive for ischemic stroke were grouped into a second group. The Welch-modified t-test was performed between the groups on a gene fragment by gene fragment basis under sample-drop-and-replace condition. With each test performed, the fold-change between group means was taken. Gene fragments that maintained a significance value less than 0.05 under False Discovery Rate Multiple Comparison Correction procedure and a fold-change magnitude>=1.25 100% of the time were flagged as those Affymetrix gene fragments (and thus stroke-associated genes and proteins) that can serve as markers to classify a stroke event (e.g to determine whether a stroke is ischemic or hemmorhagic in nature).


Table 15 provides five genes that can differentiate between ischemic and hemorrhagic stroke. Such genes are upregulated in ICH subjects relative to IS subjects. Therefore, increased expression of such genes relative to an IS control sample indicates that the subject has suffered a hemorrhagic stroke.









TABLE 15







Genes upregulated in hemorrhagic relative to IS










Probe ID{circumflex over ( )}
FC*
PV#
Probe Set ID





202523_s_at
1.508538715
2.34E−07
sparc/osteonectin, cwcv





and kazal-like domains





proteoglycan (testican) 2


207485_x_at
1.405292538
2.19E−05
butyrophilin, subfamily 3,





member A1


211893_x_at
2.071937302
1.13E−05
CD6 molecule


218813_s_at
1.595131944
1.25E−05
SH3-domain GRB2-like





endophilin B2


37652_at
1.347975554
1.88E−06
calcineurin binding protein 1





{circumflex over ( )}Probe set ID number is the Affymetrix ID number on the HU133A array.


*FC is the fold change between hemorrhagic and ischemic stroke samples.


#PV is the p-value.






The data obtained in Example 3 (CEL files of 8 patients with confirmed ICH, 19 ischemic stroke subjects and 18 referent control subjects) was analyzed as follows to identify genes differentially regulated in response to hemorrhagic stroke. Sample data corresponding to samples negative for stroke were grouped into one group; while sample data corresponding to samples positive for hemorrhagic stroke were grouped into a second group. The Welch-modified t-test was performed between the groups on a gene fragment by gene fragment basis under sample-drop-and-replace condition. With each test performed, the fold-change between group means was taken. Gene fragments that maintained a significance value less than 0.05 under False Discovery Rate Multiple Comparison Correction procedure and a fold-change magnitude>=1.25 100% of the time were flagged as those Affymetrix gene fragments (and thus stroke-associated genes and proteins) that are differentially regulated in response to hemorrhagic-type stroke and thus can serve as markers to classify a stroke event as hemmorhagic in nature.


Table 16 provides genes that can be used to diagnose hemorrhagic stroke. For example, genes with a positive FC value are upregulated in hemmorhagic subjects relative to normal subjects, while genes with a negative FC value are downregulated in hemmorhagic subjects relative to normal subjects.









TABLE 16







Genes differentially expressed in normal versus hemorrhagic samples










Probe ID{circumflex over ( )}
FC*
PV#
Probe Set ID













200952_s_at
−1.515215545
1.69E−05
cyclin D2


201991_s_at
1.306520882
2.67E−06
kinesin family member 5B


202523_s_at
−1.435487585
2.65E−05
sparc/osteonectin, cwcv and kazal-like





domains proteoglycan (testican) 2


203674_at
1.475070526
2.92E−06
helicase with zinc finger


211316_x_at
1.387176009
3.22E−06
CASP8 and FADD-like apoptosis regulator


211856_x_at
−1.370753455
5.47E−05
CD28 molecule


212259_s_at
−1.509605727
7.03E−05
pre-B-cell leukemia transcription factor





interacting protein 1


212263_at
1.44075598
6.56E−06
quaking homolog, KH domain RNA binding





(mouse)


212361_s_at
1.493099895
6.60E−05
ATPase, Ca++ transporting, cardiac muscle,





slow twitch 2


212888_at
1.386901014
1.22E−05
Dicer1, Dcr-1 homolog (Drosophila)


214447_at
−1.841768304
6.97E−05
v-ets erythroblastosis virus E26 oncogene





homolog 1 (avian)


215127_s_at
1.321162413
3.79E−05
RNA binding motif, single stranded interacting





protein 1


216969_s_at
−1.481516754
1.20E−05
kinesin family member 22 /// similar to





Kinesin-like protein KIF22 (Kinesin-like





DNA-binding protein) (Kinesin-like protein 4)


217119_s_at
−1.364953776
5.46E−05
chemokine (C—X—C motif) receptor 3


218559_s_at
2.103933153
1.88E−05
v-maf musculoaponeurotic fibrosarcoma





oncogene homolog B (avian)


219358_s_at
1.68969976
5.70E−06
centaurin, alpha 2


219999_at
1.317017278
3.55E−05
mannosidase, alpha, class 2A, member 2


221039_s_at
1.357768211
1.19E−05
development and differentiation enhancing





factor 1





{circumflex over ( )}Probe set ID number is the Affymetrix ID number on the HU133A array.


*FC is the fold change between normal and hemorrhagic stroke samples.


#PV is the p-value.






The data obtained in Example 3 (CEL files of 8 patients with confirmed ICH, 19 ischemic stroke subjects and 18 referent control subjects) was analyzed as follows to identify genes differentially regulated in response to ischemic stroke. Sample data corresponding to samples negative for stroke were grouped into one group; while sample data corresponding to samples positive for ischemic stroke were grouped into a second group. The Welch-modified t-test was performed between the groups on a gene fragment by gene fragment basis under sample-drop-and-replace condition. With each test performed, the fold-change between group means was taken. Gene fragments that maintained a significance value less than 0.05 under False Discovery Rate Multiple Comparison Correction procedure and a fold-change magnitude>=1.25 100% of the time were flagged as those Affymetrix gene fragments (and thus stroke-associated genes and proteins) that are differentially regulated in response to ischemic-type stroke and thus can serve as markers to classify a stroke event as ischemic in nature.


Table 17 provides a gene that can be used to diagnose ischemic stroke. For example, this gene is upregulated in IS subjects relative to normal subjects. This gene can be used in combination with other ischemic-stroke related molecules (such as those listed in Table 18) for diagnosis of ischemic stroke identified.









TABLE 17







Normal versus ischemic stroke














Probe Set



Probe ID{circumflex over ( )}
FC*
PV#
ID
Gene Title





217823_s_at
1.394233157
1.99E−06
217823_s_at
ubiquitin-






conjugating






enzyme






E2, J1






(UBC6






homolog,






yeast)





{circumflex over ( )}Probe set ID number is the Affymetrix ID number on the HU133A array.


*FC is the fold change between normal and ischemic stroke samples.


#PV is the p-value.






Example 13
Diagnosis and Classification of Stroke

This example describes methods that can be used to diagnose a subject as having had a stroke, such as an ischemic (IS) or hemorrhagic (such as an ICH) stroke.


Evaluation of the subject can be performed as early as one day (or within 24 hours) after the stroke is suspected, 2-11 or 7-14 days after the stroke is suspected, or at least 90 days after the stroke is suspected. The disclosed methods can be performed following the onset of signs and symptoms associated with a stroke, such as IS or ICH. Particular examples of signs and symptoms associated with a stroke include but are not limited to: headache, sensory loss (such as numbness, particularly confined to one side of the body or face), paralysis (such as hemiparesis), pupillary changes, blindness (including bilateral blindness), ataxia, memory impairment, dysarthria, somnolence, and other effects on the central nervous system recognized by those of skill in the art.


A sample can be obtained from the subject (such as a PBMC sample) and analyzed using the disclosed methods, for example, within 1 hour, within 6 hours, within 12 hours, within 24 hours, or within 48 hours of having signs or symptoms associated with stroke. In another example, a sample is obtained at least 7 days later following the onset of signs and symptoms associated with stroke, such as within 2-11 or 7-14 days of having signs or symptoms associated with stroke, or within 90 days. In particular examples, the assay can be performed after a sufficient period of time for the differential regulation of the genes (or proteins) to occur, for example at least 24 hours or at least 48 hours after onset of the symptom or constellation of symptoms that have indicated a potential stroke (such as a cerebral hemorrhagic or ischemic event). In other examples it occurs prior to performing any imaging tests are performed to find anatomic evidence of stroke. The assays described herein in particular examples can detect the stroke even before definitive brain imaging evidence of the stroke is known.


For example, PBMCs can be isolated from the subject (such as a human subject) following stroke, for example at least 24 hours, at least 48 hours, or at least 72 hours after the stroke. In particular examples, PBMCs are obtained from the subject at day 1 (within 24 hours of onset of symptoms), at day 7-14 and at day 90 post stroke. In particular examples, the subject is suspected of having suffered an ICH. In other examples, the subject is suspected of having suffered an IS.


Determining if the Subject has Suffered a Stroke

In particular examples, the method includes detecting expression of at least four of the stroke-related molecules listed in Table 14, such as at least 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, or all 15 of those listed in Table 14. The molecules listed in Table 14 are upregulated in subjects who have suffered a stroke, relative to a subject who has not suffered a stroke. For example, nucleic acid molecules or proteins isolated from the PBMCs can be contacted with an array that includes probes that can detect at least four of the stroke-related molecules listed in Table 14, such as an array that includes probes that can detect all of the genes (or proteins) listed in Table 14. Expression of the stroke-related genes (or proteins) can be determined using the methods described in the above examples.


Detection of significant upregulation of at least four stroke-related molecules listed in Table 14, such as upregulation of v-fos FBJ murine osteosarcoma viral oncogene homolog, acyl-CoA synthetase long-chain family member 1, coagulation factor V (proaccelerin, labile factor), and tribbles homolog 1 (Drosophila), indicates that the subject has suffered a stroke. For example, detection of significant upregulation of all of the stroke-related molecules listed in Table 14 indicates that the subject has suffered a stroke. In contrast, detection of significant upregulation in less than four stroke-related molecules listed in Table 14 (such as 3, 2, 1 or none) indicates that the subject has not suffered a stroke. In particular examples, the differential expression is determined by calculating a fold-change in expression, by calculating a ratio of expression detected in the subject relative to a reference expression value (such as an expression value or range expected from a normal (e.g. non-stroke) sample). For example, detection of at least a 1.2 fold increase in expression (such as at least 1.4, at least 1.5, or at least 2 fold increase) in the test subject's sample, relative to a normal reference value, indicates that expression is increased in the test subject's sample. In particular examples, the increased expression is determined by calculating a t-statistic value, wherein a t-statistic value of at least 3, at least 5, at least 6, or at least 15 indicates that expression is increased.


If the assay indicates that the subject has suffered a stroke, further analysis can be performed to determine what type of stroke the patient had (such as an IS or ICH). In some examples, this first step (determining if the subject has had a stroke) is omitted, and an assay is only performed to determine whether the patient has had an IS or hemorrhagic stroke. In some examples, this first step (determining if the subject has had a stroke) is performed at essentially the same time as an assay performed to determine whether the patient has had an IS or hemorrhagic stroke (e.g. a single array is used to perform multiple analyses).


Determining if the Subject has Suffered an Ischemic or Hemorrhagic Stroke

In particular examples, the method includes determining whether the subject has suffered a hemorrhagic stroke, such as an ICH, or an ischemic stroke. For example, the five stroke-related molecules listed in Table 15 can be used to determine if the subject has had an ICH or an IS. In particular example, the method includes detecting expression of at least four of the stroke-related molecules listed in Table 15, such as all five of the molecules listed in Table 15. The genes listed in Table 15 are upregulated in subjects who have suffered a hemorrhagic stroke, relative to a subject who has suffered an IS. For example, nucleic acid molecules or proteins isolated from the PBMCs can be contacted with an array that includes probes that can detect at least four of the stroke-related molecules listed in Table 15, such as an array that includes probes that can detect all of the genes (or proteins) listed in Table 15. Expression of the stroke-related genes (or proteins) can be determined using the methods described in the above examples.


Detection of significant upregulation of at least four stroke-related molecules listed in Table 15, such as upregulation of sparc/osteonectin, cwcv and kazal-like domains proteoglycan (testican) 2, butyrophilin, subfamily 3, member A1, CD6 molecule, and SH3-domain GRB2-like endophilin B2), indicates that the subject has suffered a hemorrhagic stroke (not an IS). For example, detection of significant upregulation of all of the stroke-related molecules listed in Table 15 indicates that the subject has suffered a hemorrhagic stroke (not an IS). In contrast, detection of no significant upregulation in the stroke-related molecules listed in Table 15 indicates that the subject has not suffered an ICH, but may have suffered an IS. In particular examples, the differential expression is determined by calculating a fold-change in expression, by calculating a ratio of expression detected in the subject relative to a reference expression value (such as an expression value or range expected from a IS sample). For example, detection of at least a 1.2 fold increase in expression (such as at least 1.4, at least 1.5, or at least 2 fold increase) in the test subject's sample, relative to an IS reference value, indicates that expression is increased in the test subject's sample, and thus the subject has suffered a hemorrhagic stroke (and not an IS). In contrast, detection of less than a 1 fold increase in expression (less than a 0.5 fold increase) in the test subject's sample, relative to an IS reference value, indicates that expression is not significantly altered in the test subject's sample, and thus the subject may have suffered an IS (and not a hemorrhagic stroke). In particular examples, the differential expression is determined by calculating a t-statistic value, wherein a t-statistic value of at least 3, at least 5, at least 6, or at least 15 indicates that expression is increased, while a t-statistic value of no more than −3, no more than −5, or no more than −6 indicates that expression is decreased. For example, detection of at least a t-value of at least 3 for all of the genes listed in Table 15 indicates that expression is increased in the test subject's sample, and thus the subject has suffered a hemorrhagic stroke (and not an IS).


Determining if the Subject has Suffered a Hemorrhagic Stroke

In particular examples, the method includes determining whether the subject has suffered a hemorrhagic stroke, such as an ICH. For example, the 18 hemorrhagic stroke-related molecules listed in Table 16 can be used to determine if the subject has had an ICH. In particular example, the method includes detecting expression of at least four of the hemorrhagic stroke-related molecules listed in Table 16, such as all of the molecules listed in Table 16. The genes listed in Table 16 are upregulated (positive FC value) or downregulated (negative FC value) in subjects who have suffered a hemorrhagic stroke, relative to a normal subject (e.g. a subject who has not suffered a stroke). For example, nucleic acid molecules or proteins isolated from the PBMCs can be contacted with an array that includes probes that can detect at least four of the stroke-related molecules listed in Table 16, such as an array that includes probes that can detect all of the genes (or proteins) listed in Table 16. Expression of the stroke-related genes (or proteins) can be determined using the methods described in the above examples. Detection of significant upregulation or down regulation of at least four hemorrhagic stroke-related molecules listed in Table 16, such as upregulation of v-maf musculoaponeurotic fibrosarcoma oncogene homolog B, and centaurin, alpha 2 and downregulation of v-ets erythroblastosis virus E26 oncogene homolog 1 and, sparc/osteonectin, cwcv and kazal-like domains proteoglycan (testican) 2 indicates that the subject has suffered a hemorrhagic stroke. For example, detection of significant altered expression of all of the stroke-related molecules listed in Table 16 indicates that the subject has suffered a hemorrhagic stroke. In contrast, detection of no significant altered expression in the hemorrhagic stroke-related molecules listed in Table 16 indicates that the subject has not suffered an ICH. In particular examples, the differential expression is determined by calculating a fold-change in expression, by calculating a ratio of expression detected in the subject relative to a reference expression value (such as an expression value or range expected from a normal sample). For example, detection of at least a 1.2 fold increase in expression (such as at least 1.4, at least 1.5, or at least 2 fold increase) in the test subject's sample, relative to a normal reference value, indicates that expression is increased in the test subject's sample. Detection of at least a −1.2 fold decrease in expression (such as at least −1.4, at least −1.5, or at least −2 fold decrease) in the test subject's sample, relative to a normal reference value, indicates that expression is decreased in the test subject's sample. In particular examples, the increased expression is determined by calculating a t-statistic value, wherein a t-statistic value of at least 3, at least 5, at least 6, or at least 15 indicates that expression is increased, and a t-statistic value of less than −3, less than −5, less than −6, or less than −15 indicates that expression is decreased.


In particular examples, the method determining whether the subject has suffered a hemorrhagic stroke, such as an ICH, includes detecting differential expression in at least four hemorrhagic stroke-related molecules, such detecting differential expression of IL1R2, haptoglobin, amphiphysin, CD163, and TAP2. In one example, the method includes detecting differential expression in at least the 30 genes (or corresponding proteins) listed in Table 5. For example, nucleic acid molecules or proteins isolated from the PBMCs can be contacted with a hemorrhagic stroke detection array, such as an array that includes probes that can detect at least four of the hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16, such as an array that includes probes that can detect all of the genes (or proteins) listed in Table 5, 8 or 16. Expression of the hemorrhagic stroke-related genes (or proteins) can be determined using the methods described in the above examples.


Detection of significant differential expression (such as upregulation or downregulation) of at least four hemorrhagic stroke-related molecules, such as IL1R2, haptoglobin, amphiphysin, CD163, and TAP2, or at least the 30 genes (or corresponding proteins) listed in Table 5, indicates that the subject has suffered a hemorrhagic stroke. In particular examples, the differential expression is determined by calculating a t-statistic value, wherein a t-statistic value of at least 3, at least 5, at least 6, or at least 15 indicates that expression is increased, while a t-statistic value of no more than −3, no more than −5, or no more than −6 indicates that expression is decreased.


The observed differential expression of the hemorrhagic stroke-related genes (or proteins) can be compared to a reference value, such as values that represent expression levels expected if no stroke occurred, or if an ischemic stroke occurred. For example if the subject shows expression levels similar to that expected if the stroke was ischemic, then it is predicted that the subject did not suffer a hemorrhagic stroke, but instead suffered an IS. If the subject shows expression levels similar to that expected if no stroke occurred, then it is predicted that the subject did not suffer a hemorrhagic stroke.


Determining if the Subject has Suffered an Ischemic Stroke

In particular examples, if it is determined that the subject has suffered a stroke, the method further includes determining if the stroke was ischemic. For example, the ischemic stroke-related molecule listed in Table 17 can be used to determine if the subject has had an IS. In particular examples, the method includes detecting expression of ubiquitin-conjugating enzyme E2, J1 (Table 17) and at least four of the IS-related molecules listed in Table 18 such as all of the molecules listed in Table 18. Ubiquitin-conjugating enzyme E2, J1 (Table 17) is upregulated (positive FC value) in subjects who have suffered an IS, relative to a normal subject (e.g. a subject who has not suffered a stroke). For example, nucleic acid molecules or proteins isolated from the PBMCs can be contacted with an array that includes probes that can detect ubiquitin-conjugating enzyme E2, J1 and at least four of the stroke-related molecules listed in Table 18, such as an array that includes probes that can detect ubiquitin-conjugating enzyme E2, J1 and all of the genes (or proteins) listed in Table 18. Expression of the IS-related genes (or proteins) can be determined using the methods described in the above examples. Detection of significant upregulation of ubiquitin-conjugating enzyme E2, J1 and at least four IS stroke-related molecules listed in Table 18, such as upregulation of ubiquitin-conjugating enzyme E2, J1 and the molecules listed in Table 18, indicates that the subject has suffered an IS. In contrast, detection of no significant altered expression in ubiquitin-conjugating enzyme E2, J1 and the IS-related molecules listed in Table 18, indicates that the subject has not suffered an IS.









TABLE 18







Ischemic stroke related-genes using PAM correction (from


PCT/US2005/018744).








Affymetrix



Probe ID
Name and Function






White Blood Cell Activation and Differentiation


215049_x_at
CD163


218454_at
Hypothetical protein FLJ22662 Laminin A motif


211404_s_at
Amyloid beta (A4) precursor-like protein 2


221210_s_at
N-acetylneuraminate pyruvate lysase


209189_at
v-fos FBJ murine osteosarcoma viral oncogene homolog


204924_at
Toll-like receptor 2


211571_s_at
Chondroitin sulfate proteoglycan 2 (versican)


211612_s_at
Interleukin 13 receptor, alpha 1


201743_at
CD14 antigen


205715_at
Bone marrow stromal cell antigen 1/CD157


202878_s_at
Complement component 1, q subcomponent, receptor 1


219788_at
Paired immunoglobin-like type 2 receptor alpha


214511_x_at
Fc fragment of IgG, high affinity Ia, receptor for (CD64)



Vascular Repair


203888_at
Thrombomodulin


207691_x_at
Ectonucleoside triphosphate diphosphohydrolase 1


206488_s_at
CD36 antigen (collagen type I receptor, thrombospondin receptor)



Response to Hypoxia


202912_at
Adrenomedullin


201041_s_at
Dual specificity phosphatase 1


203922_s_at
Cytochrome b-245, beta polypeptide (chronic granulomatous disease)


208771_s_at
Leukotriene A4 hydrolase


201328_at
Erythroblastosis virus E26 oncogene homolog 2 (avian)


209949_at
Neutrophil cytosolic factor 2 (65 kDa, chronic granulomatous disease,



autosomal 2)



Response to Altered Cerebral Microenvironment


208818_s_at
Catechol-O-methyltransferase


200648_s_at
Glutamate-ammonia ligase (glutamine ligase)


202917_s_at
S100 calcium binding protein A8 (calgranulin A)


204860_s_at
Neuronal apoptosis inhibitory protein: Homo sapiens transcribed



sequence with strong similarity to protein sp: Q13075 (H. sapiens)



BIR1_HUMAN Baculoviral IAP repeat-containing protein 1


212807_s_at
Sortilin


202446_s_at
Phospholipid scramblase 1


211067_s_at
Growth-arrest-specific 7


204222_s_at
GLI pathogenesis-related 1 (glioma)









In particular examples, the differential expression is determined by calculating a fold-change in expression, by calculating a ratio of expression detected in the subject relative to a reference expression value (such as an expression value or range expected from a normal sample). For example, detection of at least a 1.2 fold increase in expression (such as at least 1.4, at least 1.5, or at least 2 fold increase) in the test subject's sample, relative to a normal reference value, indicates that expression is increased in the test subject's sample. In some examples, the differential expression is determined by calculating a t-statistic value, wherein a t-statistic value of at least 3, at least 5, at least 6, or at least 15 indicates that expression is increased.


The observed differential expression of the IS-stroke-related genes (or proteins) can be compared to a reference value, such as values that represent expression levels expected if no stroke occurred, or if a hemorrhagic stroke occurred. For example if the subject shows expression levels similar to that expected if the stroke was hemorrhagic, then it is predicted that the subject did not suffer an ischemic stroke, but instead suffered a hemorrhagic stroke. If the subject shows expression levels similar to that expected if the no stroke occurred, then it is predicted that the subject did not suffer an ischemic stroke.


Example 14
Predicting Severity and Neurological Recovery of Hemorrhagic Stroke

This example describes methods that can be used to determine the severity and likely neurological recovery of a subject who has had an intracerebral hemorrhagic stroke, for example by determining the expression levels of at least four of the hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16. Although particular timepoints and hemorrhagic stroke-associated genes are described, one skilled in the art will appreciate that other timepoints and genes (or proteins) can be used.


Stratification or assessing the likely neurological recovery of the subject can be performed as early as one day (or within 24 hours) after the hemorrhagic stroke, 2-11 or 7-14 days after the hemorrhagic stroke, or at least 90 days after the hemorrhagic stroke. The disclosed methods can be performed following the onset of signs and symptoms associated with ICH. Particular examples of signs and symptoms associated with an ICH stroke include but are not limited to: headache, sensory loss (such as numbness, particularly confined to one side of the body or face), paralysis (such as hemiparesis), pupillary changes, blindness (including bilateral blindness), ataxia, memory impairment, dysarthria, somnolence, and other effects on the central nervous system recognized by those of skill in the art.


A sample can be obtained from the subject (such as a PBMC sample) and analyzed using the disclosed methods, for example, within 1 hour, within 6 hours, within 12 hours, within 24 hours, or within 48 hours of having signs or symptoms associated with ICH stroke. In another example, a sample is obtained at least 7 days later following the onset of signs and symptoms associated with ICH stroke, such as within 2-11 or 7-14 days of having signs or symptoms associated with ICH stroke, or within 90 days. In particular examples, the assay can be performed after a sufficient period of time for the differential regulation of the genes (or proteins) to occur, for example at least 24 hours after onset of the symptom or constellation of symptoms that have indicated a potential cerebral hemorrhagic event. In other examples it occurs prior to performing any imaging tests are performed to find anatomic evidence of hemorrhagic stroke. The assay described herein in particular examples is able to detect the hemorrhagic stroke even before definitive brain imaging evidence of the stroke is known.


For example, PBMCs can be isolated from the subject (such as a human subject) following hemorrhagic stroke, for example at least 24 hours, at least 48 hours, or at least 72 hours after the stroke. In particular examples, PBMCs are obtained from the subject at day 1 (within 24 hours of onset of symptoms), at day 7-14 and at day 90 post stroke.


In particular examples, the method includes detecting differential expression in at least four hemorrhagic stroke-related molecules, such detecting differential expression of IL1R2, haptoglobin, amphiphysin, CD163, and TAP2. In one example, the method includes detecting differential expression in at least the 30 genes (or corresponding proteins) listed in Table 5. For example, nucleic acid molecules or proteins isolated from the PBMCs can be contacted with a hemorrhagic stroke detection array, such as an array that includes probes that can detect at least four of the hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16, such as an array that includes probes that can detect all of the genes (or proteins) listed in Table 5, 8, 15, 16, or combinations thereof. Expression of the hemorrhagic stroke-related genes (or proteins) can be determined using the methods described in the above examples.


Detection of significant differential expression (such as upregulation or downregulation) of at least four hemorrhagic stroke-related molecules, such as IL1R2, haptoglobin, amphiphysin, CD163 (and in some examples TAP2), or at least the 25 genes (or corresponding proteins) listed in Table 5, indicates that the stroke was severe and the subject has a lower probability of neurological recovery (for example as compared to an amount of expected neurological recovery in a subject who did not have differential expression of IL1R2, haptoglobin, amphiphysin, CD163 (and in some examples TAP2), or the 30 genes/proteins listed in Table 5). In particular examples, the differential expression is determined by calculating a t-statistic value, wherein a t-statistic value of at least 3, at least 5, at least 6, or at least 15 indicates that expression is increased, while a t-statistic value of no more than −3, no more than −5, or no more than −6 indicates that expression is decreased. In one example, detection of differential expression of 1 to 3 hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16 (such as 1 to 3 of IL1R2, haptoglobin, amphiphysin, CD163, granzyme M, Sema4C and TAP2) indicates mild hemorrhagic stroke and differential expression of 5 to 10 hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16 (such as 5 to 10 that include IL1R2, haptoglobin, amphiphysin, CD163, granzyme M, Sema4C and TAP2) indicates a more severe stroke.


The observed differential expression of the hemorrhagic stroke-related genes (or proteins) can be compared to a reference value, such as values that represent expression levels expected if the hemorrhagic stroke is severe or mild, or expression levels expected if the neurological recovery is good or poor. For example if the subject shows expression levels similar to that expected if the hemorrhagic stroke is severe, then it is predicted that the subject suffered a severe hemorrhagic stroke, and neurological recovery is less likely. If the subject shows expression levels similar to that expected if the hemorrhagic stroke is mild, then it is predicted that the subject suffered a mild hemorrhagic stroke, and neurological recovery is more likely.


In particular examples, the magnitude of the change in expression levels of hemorrhagic stroke-related genes (or proteins) is greater in subjects having suffered a more severe stroke, as compared to those subjects how have suffered a milder stroke. Similarly, the magnitude of the change in expression levels of hemorrhagic stroke-related genes (or proteins) is greater in subjects more likely to suffer permanent neurological damage, as compared to those subjects more likely to suffer permanent neurological damage. For example, a subject having suffered a severe stroke may demonstrate t-values of at least four (such as at least 10 or at least 20) hemorrhagic stroke-related genes (or proteins) listed in Tables 2-8 and 15-16 that are increased (for genes/proteins whose expression is upregulated in response to hemorrhagic stroke) or decreased (for genes/proteins whose expression is downregulated in response to hemorrhagic stroke) at least 2-fold (such as at least 3-fold or at least 4-fold) as compared to a subject having suffered a mild stroke. For example, a subject having suffered a mild stroke may demonstrate a t-value of no more than 5 for the IL1R2, CD163, and amphiphysin genes and a t-statistic value of no less than −5 for TAP2 or Sema4C (for example as compared to a subject who has not suffered a stroke), while a subject having suffered a severe stroke may demonstrate a t-statistic value of at least 10 for the IL1R2, haptoglobin, CD163 and amphiphysin genes and a t-statistic value of less than −6 for TAP2 or Sema4C (for example as compared to a subject who has not suffered a stroke). Subjects indicated to have suffered a more severe hemorrhagic stroke are more likely to suffer permanent neurological damage.


In particular examples, persistence of changes in hemorrhagic stroke-related gene (or protein) expression is used to determine the likely neurological recovery of a subject who has suffered a hemorrhagic stroke. Generally, if the detected changes in hemorrhagic stroke-related gene (or protein) expression persist (for example at least 7 days, at least 14 days, at least 60 days, or at least 90 days after the stroke), it is proposed that processes related to the stroke or a lack of recovery of these processes is occurring, and that such subjects have a worse prognosis. For example, subjects who remain classified as having had a hemorrhagic stroke using the methods provided herein at these later time points are those with the more severe strokes and worse outcomes. For example, subjects demonstrating a change in expression in at least four of the hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16 at least 7, 14, 60, or 90 days after the intracerebral hemorrhagic stroke are less likely to recover from neurological damage, as these results indicate the subject has suffered a severe stroke. In contrast, subjects who are indicated to not have had a hemorrhagic stroke at least 7, 14, 60, or 90 days after the intracerebral hemorrhagic stroke (using the methods provided herein), indicates that the subject is more likely to recover from neurological damage, as these results indicate the subject has suffered a mild hemorrhagic stroke.


Since the results of this assay are also highly reliable predictors of the hemorrhagic nature of the stroke, the results of the assay can also be used (for example in combination with other clinical evidence and brain scans) to determine whether anti-hemorrhagic therapy, such as therapy designed to reduce high blood pressure or to increase blood clotting, should be administered to the subject. In certain example, anti-hypertensive therapy or clotting therapy (or both) is given to the subject once the results of the differential gene assay are known if the assay provides an indication that the stroke is hemorrhagic in nature.


Moreover, the neurological sequalae of a hemorrhagic event in the central nervous system can have consequences that range from the insignificant to the devastating, and the disclosed assay permits early and accurate stratification of risk of long-lasting neurological impairment. For example, a test performed as early as within the first 24 hours of onset of signs and symptoms of a stroke, and even as late as 7-14 days or even as late as 90 days or more after the event can provide clinical data that is highly predictive of the eventual care needs of the subject.


The disclosed methods are also able to identify subjects who have had a hemorrhagic stroke in the past, for example more than 2 weeks ago, or even more than 90 days ago. The identification of such subjects helps evaluate other clinical data (such as neurological impairment or brain imaging information) to determine whether a hemorrhagic stroke (such as an intracerebral hemorrhagic stroke) has occurred. Subjects identified or evaluated in this manner can then be provided with appropriate treatments, such as clotting agents that would be appropriate for a subject identified as having had a hemorrhagic stroke but not as appropriate for subject who have had an ischemic stroke. It is helpful to be able to classify subject as having had a hemorrhagic stroke, because the treatments for hemorrhagic stroke are often distinct from the treatments for ischemic stroke. In fact, treating a hemorrhagic stroke with a therapy designed for an ischemic stroke (such as a thrombolytic agent) can have devastating clinical consequences. Hence using the results of the disclosed assay to help distinguish ischemic from hemorrhagic stroke offers substantial clinical benefit, and allows subjects to be selected for treatments appropriate to hemorrhagic stroke but not ischemic stroke.


Example 15
Arrays for Evaluating a Stroke

This example describes particular arrays that can be used to evaluate a stroke, for example to diagnose an intracerebral hemorrhagic stroke. When describing an array that consists essentially of probes that recognize one or more of the hemorrhagic stroke-related molecules in Tables 2-8 and 15-16, such an array includes probes that recognize at least one of the hemorrhagic stroke-related molecules in Tables 2-8 and 15-16 (for example any sub-combination of molecules listed in Tables 2-8 and 15-16) as well as control probes (for example that can be used to confirm the incubation conditions are sufficient), ischemic probes (such as those in Tables 17-18), stroke probes (such as those in Table 14), but not other probes. Exemplary control probes include GAPDH, actin, and YWHAZ.


In one example, the array includes, consists essentially of, or consists of probes (such as an oligonucleotide or antibody) that can recognize at least one gene (or protein) that is upregulated following hemorrhagic stroke, such as one or more of IL1R2, haptoglobin, amphiphysin, or CD163, or any 1, 2, 3, or 4 of these. For example, the array can include a probe (such as an oligonucleotide or antibody) recognizes IL1R2. In yet another example, the array includes, consists essentially of, or consists of probes (such as an oligonucleotide or antibody) that can recognize at least one gene (or protein) that is down-regulated following hemorrhagic stroke, such as one or more of TAP2, granzyme M and Sema4C. In a particular example, the array includes, consists essentially of, or consists of probes (such as an oligonucleotide or antibody) that can recognize at least one gene (or protein) that is upregulated following a hemorrhagic stroke (such as at least one of IL1R2, haptoglobin, amphiphysin, and CD163) and at least one gene (or protein) that is downregulated following a hemorrhagic stroke (such as one or more of TAP2, Sema 4C or granzyme M).


Other exemplary probes that can be used are listed in Tables 2-8 and 15-16 and are identified by their Affymetrix identification number. The disclosed oligonucleotide probes can further include one or more detectable labels, to permit detection of hybridization signals between the probe and a target sequence.


In one example, the array includes, consists essentially of, or consists of probes (such as an oligonucleotide or antibody) that recognize any combination of at least four different genes (or proteins) listed in Tables 2-8 and 15-16. In particular examples, the array includes, consists essentially of, or consists of probes recognize all 30 genes (or proteins) listed in Table 5, all 316 genes listed in Table 7, all 5 genes listed in Table 15, or all 18 genes listed in Table 16. In some examples, the array includes oligonucleotides, proteins, or antibodies that recognize any combination of at least one gene from each of the following classes, genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction (such as at least 2 or at least 3 genes from each class).


In another example, the array includes, consists essentially of, or consists of probes (such as an oligonucleotide or antibody) that recognize any combination of at least 150 different genes listed in Tables 2-8 and 15-16, such as all 47 genes listed in Table 2, all 1263 genes listed in Table 3, all 119 genes listed in Table 4, all 30 genes listed in Table 5, all 446 genes listed in Table 6, all 25 genes listed in Table 7, all 316 genes listed in Table 8, all 5 genes listed in Table 15, or all 18 genes listed in Table 16.


Compilation of “loss” and “gain” of hybridization signals will reveal the genetic status of the individual with respect to the hybridization stroke-associated genes listed in Tables 2-8 and 15-16.


Example 16
Quantitative Spectroscopic Methods

This example describes quantitative spectroscopic approaches methods, such as SELDI, that can be used to analyze a biological sample to determine if there is differential protein expression of hemorrhagic stroke-related proteins, such as those listed in Tables 2-8 and 15-16.


In one example, surface-enhanced laser desorption-ionization time-of-flight (SELDI-TOF) mass spectrometry is used to detect changes in differential protein expression, for example by using the ProteinChip™ (Ciphergen Biosystems, Palo Alto, Calif.). Such methods are well known in the art (for example see U.S. Pat. No. 5,719,060; U.S. Pat. No. 6,897,072; and U.S. Pat. No. 6,881,586). SELDI is a solid phase method for desorption in which the analyte is presented to the energy stream on a surface that enhances analyte capture or desorption.


Briefly, one version of SELDI uses a chromatographic surface with a chemistry that selectively captures analytes of interest, such as hemorrhagic stroke-related proteins. Chromatographic surfaces can be composed of hydrophobic, hydrophilic, ion exchange, immobilized metal, or other chemistries. For example, the surface chemistry can include binding functionalities based on oxygen-dependent, carbon-dependent, sulfur-dependent, and/or nitrogen-dependent means of covalent or noncovalent immobilization of analytes. The activated surfaces are used to covalently immobilize specific “bait” molecules such as antibodies, receptors, or oligonucleotides often used for biomolecular interaction studies such as protein-protein and protein-DNA interactions.


The surface chemistry allows the bound analytes to be retained and unbound materials to be washed away. Subsequently, analytes bound to the surface (such as hemorrhagic stroke-related proteins) can be desorbed and analyzed by any of several means, for example using mass spectrometry. When the analyte is ionized in the process of desorption, such as in laser desorption/ionization mass spectrometry, the detector can be an ion detector. Mass spectrometers generally include means for determining the time-of-flight of desorbed ions. This information is converted to mass. However, one need not determine the mass of desorbed ions to resolve and detect them: the fact that ionized analytes strike the detector at different times provides detection and resolution of them. Alternatively, the analyte can be detectably labeled (for example with a fluorophore or radioactive isotope). In these cases, the detector can be a fluorescence or radioactivity detector. A plurality of detection means can be implemented in series to fully interrogate the analyte components and function associated with retained molecules at each location in the array.


Therefore, in a particular example, the chromatographic surface includes antibodies that specifically bind at least four of the hemorrhagic stroke-related proteins listed in Tables 2-8 and 15-16. In one example, antibodies are immobilized onto the surface using a bacterial Fc binding support. The chromatographic surface is incubated with a sample from the subject, such as a sample that includes PMBC proteins (such as a PBMC lysate). The antigens present in the sample can recognize the antibodies on the chromatographic surface. The unbound proteins and mass spectrometric interfering compounds are washed away and the proteins that are retained on the chromatographic surface are analyzed and detected by SELDI-TOF. The MS profile from the sample can be then compared using differential protein expression mapping, whereby relative expression levels of proteins at specific molecular weights are compared by a variety of statistical techniques and bioinformatic software systems.


Example 17
Nucleic Acid-Based Analysis

The hemorrhagic stroke-related nucleic acid molecules provided herein (such as those disclosed in Tables 2-8 and 15-16) can be used in evaluating a stroke, for example for determining whether a subject has had an intracerebral hemorrhagic stroke, determining the severity or likely neurological recovery of a subject who has had an ICH stroke, and determining a treatment regimen for a subject who has had an ICH stroke. For such procedures, a biological sample of the subject is assayed for an increase or decrease in expression of hemorrhagic stroke-related nucleic acid molecules, such as those listed in Tables 2-8 and 15-16. Suitable biological samples include samples containing genomic DNA or RNA (including mRNA) obtained from cells of a subject, such as those present in peripheral blood, urine, saliva, tissue biopsy, surgical specimen, and autopsy material. In a particular example, the sample includes PBMCs (or components thereof, such as nucleic acids molecules isolated from PBMCs).


The detection in the biological sample of expression four or more hemorrhagic stroke-related nucleic acid molecules, such any combination of four or more molecules listed in Tables 2-8 and 15-16, for example 20 or more molecules listed in Tables 2-8 and 15-16, can be achieved by methods known in the art. In some examples, expression is determined for any combination of at least one gene from each of the following classes, genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction (such as at least 2 or at least 3 genes from each class). In some examples, expression is determined for at least IL1R2, haptoglobin, amphiphysin, and TAP2, and can optionally further include CD163, granzyme M, and Sema4C.


Increased or decreased expression of a hemorrhagic stroke-related molecule also can be detected by measuring the cellular level of hemorrhagic stroke-related nucleic acid molecule-specific mRNA. mRNA can be measured using techniques well known in the art, including for instance Northern analysis, RT-PCR and mRNA in situ hybridization. Details of mRNA analysis procedures can be found, for instance, in provided examples and in Sambrook et al. (ed.), Molecular Cloning: A Laboratory Manual, 2nd ed., vol. 1-3, Cold Spring Harbor Laboratory Press, Cold Spring Harbor, N.Y., 1989.


Oligonucleotides that can specifically hybridize (for example under very high stringency conditions) to hemorrhagic stroke-related sequences (such as those listed in Tables 2-8 and 15-16) can be chemically synthesized using commercially available machines. These oligonucleotides can then be labeled, for example with radioactive isotopes (such as 32P) or with non-radioactive labels such as biotin (Ward and Langer et al., Proc. Natl. Acad. Sci. USA 78:6633-57, 1981) or a fluorophore, and hybridized to individual DNA samples immobilized on membranes or other solid supports by dot-blot or transfer from gels after electrophoresis. These specific sequences are visualized, for example by methods such as autoradiography or fluorometric (Landegren et al., Science 242:229-37, 1989) or colorimetric reactions (Gebeyehu et al., Nucleic Acids Res. 15:4513-34, 1987).


Nucleic acid molecules isolated from PBMCs can be amplified using routine methods to form nucleic acid amplification products. These nucleic acid amplification products can then be contacted with an oligonucleotide probe that will hybridize under very high stringency conditions with a hemorrhagic stroke-related nucleic acid. The nucleic acid amplification products which hybridize with the probe are then detected and quantified. The sequence of the oligonucleotide probe can hybridize under very high stringency conditions to a nucleic acid molecule represented by the sequences listed in Tables 2-8 and 15-16.


Example 18
Protein-Based Analysis

This example describes methods that can be used to detect changes in expression of hemorrhagic stroke-related proteins, such as those listed in Tables 2-8 and 15-16. Hemorrhagic stroke-related protein sequences can be used in methods of evaluating a stroke, for example for determining whether a subject has had an ICH (for example and not an ischemic stroke), determining the severity or likely neurological recovery of a subject who has had an ICH stroke, and determining a treatment regimen for a subject who has had an ICH stroke. For such procedures, a biological sample of the subject is assayed for a change in expression (such as an increase or decrease) of any combination of at least four hemorrhagic stroke-related proteins, such as any combination of at least four of those listed in Table 5 or 8, at least 20 of those listed in Tables 2-8 and 15-16, or at least 100 of those listed in Tables 2-8 and 15-16. In some examples, protein expression is determined for any combination of at least one gene from each of the following classes of genes: genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction (such as at least 2 or at least 3 genes from each of the classes). In some examples, protein expression is determined for at least IL1R2, haptoglobin, amphiphysin, and TAP2 and in some examples also CD163, granzyme M, and Sema4C.


Suitable biological samples include samples containing protein obtained from cells of a subject, such as those present in PBMCs. A change in the amount of four or more hemorrhagic stroke-related proteins in a subject, such as an increase or decrease in expression of four or more hemorrhagic stroke-related proteins listed in Tables 2-8 and 15-16, can indicate that the subject has suffered a hemorrhagic stroke, such as an intracerebral hemorrhagic stroke.


The determination of increased or decreased hemorrhagic stroke-related protein levels, in comparison to such expression in a normal subject (such as a subject who has not previously had a hemorrhagic stroke), is an alternative or supplemental approach to the direct determination of the expression level of hemorrhagic stroke-related nucleic acid sequences by the methods outlined above. The availability of antibodies specific to hemorrhagic stroke-related protein(s) will facilitate the detection and quantitation of hemorrhagic stroke-related protein(s) by one of a number of immunoassay methods that are well known in the art, such as those presented in Harlow and Lane (Antibodies, A Laboratory Manual, CSHL, New York, 1988). Methods of constructing such antibodies are known in the art.


Any standard immunoassay format (such as ELISA, Western blot, or RIA assay) can be used to measure hemorrhagic stroke-related protein levels. A comparison to wild-type (normal) hemorrhagic stroke-related protein levels and an increase or decrease in hemorrhagic stroke-related polypeptide levels (such as an increase in any combination of at least 4 proteins listed in Tables 2-4 or 6-7 with a positive t-statistic or a decrease in any combination of at least 4 proteins listed in Tables 2-4 or 6-7 with a negative t-statistic) is indicative of hemorrhagic stroke, particularly ICH. Immunohistochemical techniques can also be utilized for hemorrhagic stroke-related protein detection and quantification. For example, a tissue sample can be obtained from a subject, and a section stained for the presence of a hemorrhagic stroke-related protein using the appropriate hemorrhagic stroke-related protein specific binding agents and any standard detection system (such as one that includes a secondary antibody conjugated to horseradish peroxidase). General guidance regarding such techniques can be found in Bancroft and Stevens (Theory and Practice of Histological Techniques, Churchill Livingstone, 1982) and Ausubel et al. (Current Protocols in Molecular Biology, John Wiley & Sons, New York, 1998).


For the purposes of quantitating hemorrhagic stroke-related proteins, a biological sample of the subject that includes cellular proteins can be used. Quantitation of a hemorrhagic stroke-related protein can be achieved by immunoassay and the amount compared to levels of the protein found in cells from a subject who has not had a hemorrhagic stroke. A significant increase or decrease in the amount of four or more hemorrhagic stroke-related proteins listed in Tables 2-8 and 15-16 in the cells of a subject compared to the amount of the same hemorrhagic stroke-related protein found in normal human cells is usually at least 2-fold, at least 3-fold, at least 4-fold or greater difference. Substantial over- or under-expression of four or more hemorrhagic stroke-related protein(s) listed in Tables 2-8 and 15-16 can be indicative of a hemorrhagic stroke, particularly an ICH stroke, and can be indicative of a poor prognosis.


An alternative method of evaluating a stroke is to quantitate the level of four or more hemorrhagic stroke-related proteins listed in Tables 2-8 and 15-16 in a subject, for instance in the cells of the subject. This diagnostic tool is useful for detecting reduced or increased levels of hemorrhagic-related proteins, for instance, though specific techniques can be used to detect changes in the size of proteins, for instance. Localization or coordinated expression (temporally or spatially) of hemorrhagic stroke-related proteins can also be examined using well known techniques.


Example 19
Kits

Kits are provided for evaluating a stroke, for example for determining whether a subject has had a hemorrhagic stroke (such as an ICH stroke), determining the severity or likely neurological recovery of a subject who has had a hemorrhagic stroke, and determining a treatment regimen for a subject who has had a hemorrhagic stroke (such as kits containing hemorrhagic stroke detection arrays). Kits are also provided that contain the reagents need to detect complexes formed between oligonucleotides on an array and hemorrhagic stroke-related nucleic acid molecules obtained from a subject, or between proteins or antibodies on an array and proteins obtained from a subject suspected of having had (or known to have had) a hemorrhagic stroke. These kits can each include instructions, for instance instructions that provide calibration curves or charts to compare with the determined (such as experimentally measured) values. The disclosed kits can include reagents needed to determine gene copy number (genomic amplification or deletion), such as probes or primers specific for hemorrhagic stroke-related nucleic acid sequences.


Kits are provided to determine the level (or relative level) of expression or of any combination of four or more hemorrhagic stroke-related nucleic acids (such as mRNA) or hemorrhagic stroke-related proteins (such as kits containing nucleic acid probes, proteins, antibodies, or other hemorrhagic stroke-related protein specific binding agents) listed in Tables 2-8 and 15-16. Such kits can also be used to detect expression of ischemic stroke molecules (e.g. Tables 17-18) and stroke diagnostic molecules (e.g. Table 14).


Kits are provided that permit detection of hemorrhagic stroke-related mRNA expression levels (including over- or under-expression, in comparison to the expression level in a control sample). Such kits include an appropriate amount of one or more of the oligonucleotide primers for use in, for instance, reverse transcription PCR reactions, and can also include reagents necessary to carry out RT-PCR or other in vitro amplification reactions, including, for instance, RNA sample preparation reagents (such as an RNAse inhibitor), appropriate buffers (such as polymerase buffer), salts (such as magnesium chloride), and deoxyribonucleotides (dNTPs).


In some examples, kits are provided with the reagents needed to perform quantitative or semi-quantitative Northern analysis of hemorrhagic stroke-related mRNA. Such kits can include at least four hemorrhagic stroke-related sequence-specific oligonucleotides for use as probes. Oligonucleotides can be labeled, for example with a radioactive isotope, enzyme substrate, co-factor, ligand, chemiluminescent or fluorescent agent, hapten, or enzyme.


Kits are provided that permit detection of hemorrhagic stroke-related genomic amplification or deletion. Nucleotide sequences encoding a hemorrhagic stroke-related protein, and fragments thereof, can be supplied in the form of a kit for use in detection of hemorrhagic stroke-related genomic amplification/deletion or diagnosis of a hemorrhagic stroke, progression of a hemorrhagic stroke, or therapy assessment for subjects who have suffered a hemorrhagic stroke. In examples of such a kit, an appropriate amount of one or more oligonucleotide primers specific for a hemorrhagic stroke-related-sequence (such as those listed in Table 8) is provided in one or more containers. The oligonucleotide primers can be provided suspended in an aqueous solution or as a freeze-dried or lyophilized powder, for instance. The container(s) in which the oligonucleotide(s) are supplied can be any conventional container that is capable of holding the supplied form, for instance, microfuge tubes, ampoules, or bottles. In some applications, pairs of primers are provided in pre-measured single use amounts in individual, typically disposable, tubes, or equivalent containers. With such an arrangement, the sample to be tested for the presence of hemorrhagic stroke-related genomic amplification/deletion can be added to the individual tubes and in vitro amplification carried out directly.


The amount of each primer supplied in the kit can be any amount, depending for instance on the market to which the product is directed. For instance, if the kit is adapted for research or clinical use, the amount of each oligonucleotide primer provided is likely an amount sufficient to prime several in vitro amplification reactions. Those of ordinary skill in the art know the amount of oligonucleotide primer that is appropriate for use in a single amplification reaction. General guidelines can be found in Innis et al. (PCR Protocols, A Guide to Methods and Applications, Academic Press, Inc., San Diego, Calif., 1990), Sambrook et al. (In Molecular Cloning: A Laboratory Manual, Cold Spring Harbor, New York, 1989), and Ausubel et al. (In Current Protocols in Molecular Biology, John Wiley & Sons, New York, 1998).


A kit can include more than two primers to facilitate the in vitro amplification of hemorrhagic stroke-related genomic sequences, such as those listed in Tables 2-8 and 15-16, or the 5′ or 3′ flanking region thereof.


In some examples, kits also include the reagents needed to perform in vitro amplification reactions, such as DNA sample preparation reagents, appropriate buffers (for example polymerase buffer), salts (for example magnesium chloride), and deoxyribonucleotides (dNTPs). Written instructions can also be included. Kits can further include labeled or unlabeled oligonucleotide probes to detect the in vitro amplified sequences. The appropriate sequences for such a probe will be any sequence that falls between the annealing sites of two provided oligonucleotide primers, such that the sequence the probe is complementary to is amplified during the in vitro amplification reaction (if it is present in the sample).


One or more control sequences can be included in the kit for use in the in vitro amplification reactions. The design of appropriate positive and negative control sequences is well known to one of ordinary skill in the art.


In particular examples, a kit includes one or more of the hemorrhagic stroke detection arrays disclosed herein (such as those disclosed in Example 15). In one example, the array consists essentially of probes that can detect any combination of at least 4 of the hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16, and control probes (such as GAPDH, actin, and YWHAZ), ischemic stroke probes (e.g. those specific for molecules listed in Tables 17-18), stroke diagnostic probes (e.g. those specific for molecules listed in Table 14), or combinations thereof. In some examples, the array consists essentially of probes (such as oligonucleotides, proteins, or antibodies) that can recognize any combination of at least one gene (or protein) from each of the following gene classes: genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction (such as at least 2 or at least 3 genes (or proteins) from each class), and controls. Probes that recognize hemorrhagic stroke-related and control sequences (such as negative and positive controls) can be on the same array, or on different arrays.


Kits are also provided for the detection of hemorrhagic stroke-related protein expression, for instance increased expression of any combination of at least four proteins listed in Table 5 or 8. Such kits include one or more hemorrhagic stroke-related proteins (full-length, fragments, or fusions) or specific binding agent (such as a polyclonal or monoclonal antibody or antibody fragment), and can include at least one control. The hemorrhagic stroke-related protein specific binding agent and control can be contained in separate containers. The kits can also include agents for detecting hemorrhagic stroke-related protein:agent complexes, for instance the agent can be detectably labeled. If the detectable agent is not labeled, it can be detected by second antibodies or protein A, for example, either of both of which also can be provided in some kits in one or more separate containers. Such techniques are well known.


Additional components in some kits include instructions for carrying out the assay, which can include reference values (e.g. control values). Instructions permit the tester to determine whether hemorrhagic stroke-linked expression levels are elevated, reduced, or unchanged in comparison to a control sample. Reaction vessels and auxiliary reagents such as chromogens, buffers, enzymes, and the like can also be included in the kits.


Example 20
Gene Expression Profiles (Fingerprints)

With the disclosure of many hemorrhagic stroke-related molecules (as represented for instance by those listed in Tables 2-8 and 15-16), gene expression profiles that provide information on evaluating a stroke, for example for determining whether a subject has had a hemorrhagic stroke (such as an ICH stroke), determining the severity or likely neurological recovery of a subject who has had a hemorrhagic stroke, and determining a treatment regimen for a subject who has had hemorrhagic stroke, are now enabled.


Hemorrhagic stroke-related expression profiles include the distinct and identifiable pattern of expression (or level) of sets of hemorrhagic stroke-related genes, for instance a pattern of increased and decreased expression of a defined set of genes, or molecules that can be correlated to such genes, such as mRNA levels or protein levels or activities. The set of molecules in a particular profile can include any combination of at least four of the sequences listed in any of Tables 2-8 and 15-16.


Another set of molecules that could be used in a profile include any combination of at least four sequences listed in Tables 2-8 and 15-16, each of which is over- or under-expressed following a hemorrhagic stroke, such as an ICH stroke. For example, a hemorrhagic stroke-related gene expression profile can include one sequence from each of the following classes of genes: genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction. In another example, the molecules included in the profile include at least IL1R2, haptoglobin, amphiphysin, and TAP2, or any one of these, and in some examples also CD163, granzyme M, and Sema4C.


Yet another example of a set of molecules that could be used in a profile would include any combination of at least 10 of the sequences listed in Tables 2-8 and 15-16, whose expression is upregulated or downregulated following hemorrhagic stroke. In a particular example, a set of molecules that could be used in a profile would include any combination of at least 100 or at least 200 of the sequences listed in Tables 2-8 and 15-16, whose expression is upregulated or downregulated following hemorrhagic stroke.


Particular profiles can be specific for a particular stage or age of normal tissue (such as PMBCs). Thus, gene expression profiles can be established for a pre-hemorrhagic stroke tissue (such as normal tissue not subjected to a hemorrhagic challenge or preconditioning) or a hemorrhage challenged tissue. Each of these profiles includes information on the expression level of at least four or more genes whose expression is altered following hemorrhagic stroke. Such information can include relative as well as absolute expression levels of specific genes. Likewise, the value measured can be the relative or absolute level of protein expression or protein activity, which can be correlated with a “gene expression level.” Results from the gene expression profiles of an individual subject can be viewed in the context of a test sample compared to a baseline or control sample fingerprint/profile.


The levels of molecules that make up a gene expression profile can be measured in any of various known ways, which may be specific for the type of molecule being measured. Thus, nucleic acid levels (such as direct gene expression levels, such as the level of mRNA expression) can be measured using specific nucleic acid hybridization reactions. Protein levels can be measured using standard protein assays, using immunologic-based assays (such as ELISAs and related techniques), or using activity assays. Examples for measuring nucleic acid and protein levels are provided herein; other methods are well known to those of ordinary skill in the art.


Examples of hemorrhagic-related gene expression profiles can be in array format, such as a nucleotide (such as polynucleotide) or protein array or microarray. The use of arrays to determine the presence and/or level of a collection of biological macromolecules is now well known (see, for example, methods described in published PCT application number WO 99/48916, describing hypoxia-related gene expression arrays). In array-based measurement methods, an array can be contacted with nucleic acid molecules (in the case of a nucleic acid-based array) or peptides (in the case of a protein-based array) from a sample from a subject. The amount or position of binding of the subject's nucleic acids or peptides then can be determined, for instance to produce a gene expression profile for that subject. Such gene expression profile can be compared to another gene expression profile, for instance a control gene expression profile from a subject known to have suffered a stroke (such as ICH), or known to not have suffered a stroke. Such a method could be used to determine whether a subject had a hemorrhagic stroke or determine the prognosis of a subject who had hemorrhagic stroke. In addition, the subject's gene expression profile can be correlated with one or more appropriate treatments, which can be correlated with a control (or set of control) expression profiles for levels of hemorrhage, for instance.


Example 21
In Vivo Screening Assay

This example describes particular in vivo methods that can be used to screen test agents for their ability to alter the activity of a hemorrhagic stroke-related molecule. However, the disclosure is not limited to these particular methods. One skilled in the art will appreciate that other in vivo assays could be used (such as other mammals or other means of inducing a hemorrhagic stroke).


As disclosed in the Examples above, expression of the disclosed hemorrhagic stroke-related molecules (such as those listed in Tables 2-8 and 15-16) is increased or decreased following hemorrhagic stroke, such as intracerebral hemorrhagic stroke. Therefore, screening assays can be used to identify and analyze agents that normalize such activity (such as decrease expression/activity of a gene that is increased following a hemorrhagic stroke, increase expression/activity of a gene that is decreased following an hemorrhagic stroke, or combinations thereof), or further enhance the change in activity (such as further decrease expression/activity of a gene that is decreased following hemorrhagic stroke, or further increase expression/activity of a gene that is increased following hemorrhagic stroke). For example, it may be desirable to further enhance the change in activity if such a change provides a beneficial effect to the subject or it may be desirable to neutralize the change in activity if such a change provides a harmful effect to the subject.


A mammal is exposed to conditions that induce a hemorrhagic stroke, such as an ICH stroke. Several methods of inducing hemorrhagic stroke in a mammal are known, and particular examples are provided herein. Mammals of any species, including, but not limited to, mice, rats, rabbits, dogs, guinea pigs, pigs, micro-pigs, goats, and non-human primates, such as baboons, monkeys, and chimpanzees, can be used to generate an animal model of hemorrhagic stroke. Such animal models can also be used to test agents for an ability to ameliorate symptoms associated with hemorrhagic stroke. In addition, such animal models can be used to determine the LD50 and the ED50 in animal subjects, and such data can be used to determine the in vivo efficacy of potential agents.


In a particular example, ICH stroke is induced in a rat by injection of 0.14 U of type IV bacterial collagenase in 10 μL of saline into the basal ganglia, resulting in a small amount of blood collecting in the striatum. In another example, ICH stroke is induced in an adult rat by infusion of 100-200 μl of autologous blood over 15 minutes into the right basal ganglia (such as the striatum), resulting in intraventricular hemorrhage (IVH) and post-hemorrhagic ventricular dilatation. The animal can be under anesthesia (for example 1 mL/kg of a mixture of ketamine (75 mg/mL) and xylazine (5 mg/mL)).


Simultaneous to inducing the hemorrhagic stroke, or at a time later, one or more test agents are administered to the subject under conditions sufficient for the test agent to have the desired effect on the subject. The amount of test agent administered can be determined by skilled practitioners. In some examples, several different doses of the potential therapeutic agent can be administered to different test subjects, to identify optimal dose ranges. Any appropriate method of administration can be used, such as intravenous, intramuscular, or transdermal. In one example, the agent is added at least 30 minutes after the hemorrhagic stroke, such as at least 1 hour, at least 2 hours, at least 6 hours, or at least 24 hours after the hemorrhagic stroke.


Subsequent to the treatment, biological samples from the animals are analyzed to determine expression levels of one or more of the hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16 using the methods provided herein. Agents that are found to normalize the activity or further enhance the change in activity of one or more of the hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16 can be selected. Such agents can be useful, for example, in decreasing one or more symptoms associated with hemorrhagic stroke, such as a decrease of at least about 10%, at least about 20%, at least about 50%, or even at least about 90%.


Once identified, test agents found to alter the activity of a hemorrhagic stroke-related molecule can be formulated in therapeutic products (or even prophylactic products) in pharmaceutically acceptable formulations, and used to treat a subject who has had a hemorrhagic stroke.


In particular examples, the method also includes determining a therapeutically effective dose of the selected test agent. For example, a hemorrhagic stroke is induced in the mammal, and one or more test agents identified in the examples above administered. Animals are observed for one or more symptoms associated with hemorrhagic stroke, such as sensory loss, paralysis (such as hemiparesis), pupillary changes, blindness, and ataxia. A decrease in the development of symptoms associated with hemorrhagic stroke in the presence of the test agent provides evidence that the test agent is a therapeutic agent that can be used to decrease or even inhibit hemorrhagic stroke in a subject.


In view of the many possible embodiments to which the principles of the disclosure can be applied, it should be recognized that the illustrated embodiments are only examples of the invention and should not be taken as limiting the scope of the invention. Rather, the scope of the invention is defined by the following claims. We therefore claim as our invention all that comes within the scope and spirit of these claims.

Claims
  • 1. A method of evaluating hemorrhagic stroke in a subject, comprising: detecting differential expression of at least four hemorrhagic stroke-related molecules of the subject, wherein the at least four hemorrhagic stroke-related molecules are represented by any combination of at least four molecules listed in any of Tables 2-8 and 15-16, and wherein the presence of differential expression of at least four hemorrhagic stroke-related molecules indicates that the subject has had a hemorrhagic stroke.
  • 2. The method of claim 1, wherein detecting differential expression comprises detecting differential expression within 24 hours, within 2-5 days, within 7-14 days, or within 90 days of onset of clinical signs and symptoms that indicate a potential stroke.
  • 3. The method of claim 1, wherein the hemorrhagic stroke is an intracerebral hemorrhagic (ICH) stroke.
  • 4. The method of claim 1, wherein the hemorrhagic stroke is not a subarachnoid hemorrhagic stroke.
  • 5-6. (canceled)
  • 7. The method of claim 1, wherein the method comprises determining whether there is an upregulation in any combination of at least IL1R2, haptoglobin, and amphiphysin, and determining whether there is a downregulation in TAP2.
  • 8. The method of claim 7, wherein the method further comprises determining whether there is an upregulation in CD163 and determining whether there is a downregulation in granzyme M or Sema 4C.
  • 9. The method of claim 1, wherein differential expression comprises upregulation and wherein the method comprises determining whether there is an upregulation in any combination of at least four hemorrhagic stroke-related genes listed in Tables 2-4 or 6-7 with a positive t-statistic or Tables 15 and 16 with a positive fold-change (FC) value, wherein the presence of an increase in expression of at least four hemorrhagic stroke-related molecules indicates that the subject has had a hemorrhagic stroke.
  • 10-12. (canceled)
  • 13. The method of claim 1, wherein the method has a sensitivity of at least 75% and accuracy of at least 90%.
  • 14. The method of claim 1, wherein the subject had an onset of clinical signs and symptoms of a hemorrhagic stroke no more than 72 hours prior to determining whether there is differential expression of at least four hemorrhagic stroke-related molecules.
  • 15-21. (canceled)
  • 22. The method of claim 1, wherein the hemorrhagic stroke-related molecules are obtained from peripheral blood mononuclear cells (PBMCs).
  • 23-26. (canceled)
  • 27. The method of claim 1, wherein determining whether there is differential expression of at least four hemorrhagic stroke-related molecules comprises: measuring a level of at least four hemorrhagic stroke-related nucleic acid molecules in a sample derived from the subject, wherein a difference in the level of the at least four hemorrhagic stroke-related nucleic acid molecules in the sample, relative to a level of the at least four hemorrhagic stroke-related nucleic acid molecules in an analogous sample from a subject not having had an hemorrhagic stroke is differential expression in those at least four hemorrhagic stroke-related molecules.
  • 28-31. (canceled)
  • 32. The method of claim 1, wherein the method comprises determining whether there is an upregulation or downregulation in any combination of at least one gene from each class of genes, wherein the class of genes comprise: genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction.
  • 33. The method of claim 1, further comprising: detecting differential expression of at least four stroke-related molecules listed in Table 14, wherein the presence of increased expression of at least four stroke-related molecules listed in Table 14 indicates that the subject has had a stroke.
  • 34. The method of claim 1, wherein the at least four hemorrhagic stroke-related molecules do not include any of those listed as yes for gender or race in Table 13.
  • 35. The method of claim 1, wherein the at least four hemorrhagic stroke-related molecules include one or more of those listed as yes for draw time in Table 13.
  • 36. The method of claim 1, wherein evaluating the hemorrhagic stroke comprises predicting a likelihood of severity of neurological sequalae of the hemorrhagic stroke.
  • 37-38. (canceled)
  • 39. The method of claim 36, wherein detection of differential expression in at least IL1R2, haptoglobin, amphiphysin, and TAP2 indicates that the subject has a higher risk of long-term adverse neurological sequalae.
  • 40. (canceled)
  • 41. The method of claim 1, further comprising administering to the subject a treatment to avoid or reduce hemorrhagic injury if the presence of differential expression indicates that the subject has had a hemorrhagic stroke.
  • 42. (canceled)
  • 43. A method of evaluating hemorrhagic stroke in a subject, comprising: applying isolated nucleic acid molecules obtained from PBMCs of the subject to an array, wherein the array consists of oligonucleotides complementary to all 30 genes listed in Table 5;incubating the isolated nucleic acid molecules with the array for a time sufficient to allow hybridization between the isolated nucleic acid molecules and oligonucleotide probes, thereby forming isolated nucleic acid molecule:oligonucleotide complexes; andanalyzing the isolated nucleic acid molecule:oligonucleotide complexes to determine if expression of the isolated nucleic acid molecules is altered, wherein the presence of differential expression in at least 4 of the 30 genes indicates that the subject has had a hemorrhagic stroke.
  • 44. The method of claim 1, wherein evaluating the hemorrhagic stroke comprises predicting a likelihood of neurological recovery of the subject.
  • 45. (canceled)
  • 46. The method of claim 44, wherein detection of differential expression in at least IL1R2, haptoglobin, amphiphysin, and TAP2 indicates that the subject has a lower likelihood of neurological recovery.
  • 47-50. (canceled)
  • 51. An array consisting essentially of oligonucleotides complementary to hemorrhagic stroke-related gene sequences, wherein the hemorrhagic stroke-related gene sequences comprise any combination of at least four of the genes listed in Tables 2-8 and 15-16.
  • 52-53. (canceled)
  • 54. The array of claim 51, wherein the hemorrhagic stroke-related gene sequences comprise at least one gene from each class of genes, wherein the class of genes comprise: genes involved in acute inflammatory response, genes involved in cell adhesion, genes involved in suppression of the immune response, genes involved in hypoxia, genes involved in hematoma formation or vascular repair, genes involved in the response to the altered cerebral microenvironment, and genes involved in signal transduction.
  • 55. The array of claim 51, wherein the array further consists of 1-50 oligonucleotides complementary to a control sequence, 1-35 oligonucleotides complementary to an ischemic stroke related sequence, 1-18 oligonucleotides complementary to a stroke-related sequence, or combinations thereof.
  • 56. The array of claim 51, wherein the hemorrhagic stroke-related gene sequences consist of all genes listed in any of Tables 2-8 and 15-16.
  • 57-58. (canceled)
  • 59. An array consisting essentially of antibodies that specifically bind to hemorrhagic stroke-related gene sequences, wherein the hemorrhagic stroke-related gene sequences comprise any combination of at least four of the genes listed in Tables 2-8 and 15-16.
  • 60. A kit for evaluating a hemorrhagic stroke in a subject, comprising: the array of claim 50; anda buffer solution, in separate packaging.
  • 61. A method of identifying an agent that alters an activity of one or more hemorrhagic stroke-related molecules listed in Tables 2-8 and 15-16, comprising: administering an agent to a laboratory mammal under conditions sufficient to mimic a hemorrhagic stroke;administering to the mammal one or more test agents under conditions sufficient for the one or more test agents to alter the activity of one or more hemorrhagic stroke-related molecules;obtaining a biological sample from the mammal; anddetecting differential expression of the one or more hemorrhagic stroke-related molecules present in the biological sample, wherein the presence of differential expression of the hemorrhagic stroke-related molecule indicates that the test agent alters the activity of an hemorrhagic stroke-related molecule listed in Tables 2-8 and 15-16.
  • 62-64. (canceled)
  • 65. A method of treating a mammal who has had a hemorrhagic stroke, comprising administering the agent identified using the method of claim 61 to the mammal.
  • 66. A method of imaging a mammalian brain in a subject, comprising: administering to the subject a labeled antibody, wherein the antibody specifically binds one or more of the proteins listed in Tables 2-8 and 15-16; anddetecting the label, thereby permitting imaging of the brain.
  • 67. (canceled)
  • 68. A method of determining whether a subject has suffered a stroke, comprising: detecting expression of at least four stroke-related molecules of the subject, wherein the at least four stroke-related molecules are represented by any combination of at least four molecules listed in any of Table 14, and wherein the presence of increased expression of at least four hemorrhagic stroke-related molecules indicates that the subject has had a stroke.
  • 69. (canceled)
  • 70. The method of claim 68, further comprising determining whether the stroke was a hemorrhagic stroke or an ischemic stroke.
  • 71. (canceled)
CROSS-REFERENCE TO RELATED APPLICATION

This application claims the benefit of U.S. Provisional Application No. 60/807,027 filed Jul. 11, 2006.

PCT Information
Filing Document Filing Date Country Kind 371c Date
PCT/US07/73272 7/11/2007 WO 00 7/6/2009
Provisional Applications (1)
Number Date Country
60807027 Jul 2006 US