DIFFERENTIAL EXPRESSION OF MOLECULES ASSOCIATED WITH ACUTE STROKE

Information

  • Patent Application
  • 20100267582
  • Publication Number
    20100267582
  • Date Filed
    July 01, 2010
    14 years ago
  • Date Published
    October 21, 2010
    13 years ago
Abstract
Methods are provided for evaluating a stroke, for example for determining whether a subject has had an ischemic stroke, determining the severity or likely neurological recovery of a subject who has had an ischemic stroke, and determining a treatment regimen for a subject who has had an ischemic stroke, as are arrays and kits that can be used to practice the methods. In particular examples, the method includes screening for expression in ischemic stroke related genes (or proteins), such as white blood cell activation and differentiation genes (or proteins), genes (or proteins) related to hypoxia, genes (or proteins) involved in vascular repair, and genes (or proteins) related to a specific peripheral blood mononuclear cell (PBMC) response to the altered cerebral microenvironment. Also provided are methods of identifying one or more agents that alter the activity (such as the expression) of an ischemic stroke-related molecule.
Description
FIELD

This application relates to methods of evaluating an ischemic stroke, methods of identifying a treatment modality for a subject who has had an ischemic stroke, methods of identifying compounds that alter the activity of an ischemic 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. 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 sequelae 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. Animal experiments in focally ischemic brain tissue have indicated that there are alterations in gene expression following a stroke (Stenzel-Poore et al., Lancet 362:1028-37, 2003; Lu et al., J. Cereb. Blood Flow. Metab. 23:786-810, 2003; Tang et al., Eur J Neurosci 15:1937-52, 2002; Tang et al., Ann. Neurol. 50:699-707, 2001; and Tang et al., J Cereb Blood Flow Metab 23:310-9, 2003). However, gene expression profiling has not yet been applied to clinical human stroke, primarily because brain tissue samples are inaccessible and rarely justified. Therefore, an assay that can allow one to determine the genetic expression profile of ischemic stroke without the need for brain tissue samples is needed.


Currently, there is no specific blood marker of acute stroke. 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). However, a panel of markers which allow one to diagnose and prognose ischemic stroke with high diagnostic sensitivity and specificity is still needed.


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 an ischemic stroke has occurred, for determining the severity of the stroke or the likely neurological recovery of the subject who had an ischemic stroke, or combinations thereof. 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 an ischemic stroke can be identified and administered. For example, because the results of the disclosed methods are highly reliable predictors of the ischemic nature of the stroke, the results can also be used (alone or in combination with other clinical evidence and brain scans) to determine whether thrombolytic therapy designed to lyse a neurovascular occlusion such as a thrombus (for example by using tissue plasminogen activator or streptokinase) should be administered to the subject. In certain examples, thrombolytic therapy 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 ischemic 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 an ischemic stroke, to determine the severity of an ischemic stroke, to determine the likely neurological recovery of the subject, or combinations thereof. 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 22 genes, at least 82 genes, at least 190 genes, or even at least 637 genes depending on sensitivity and specificity used. In particular examples, subjects who had an ischemic stroke showed increased gene expression in CD163; hypothetical protein FLJ22662 Laminin A motif; bone marrow stromal cell antigen 1 (BST-1, also known as CD157); Fc fragment of IgG, high affinity Ia, receptor for (FcγRI, also known as CD64); baculoviral IAP repeat-containing protein 1 (also referred to in the literature as neuronal apoptosis inhibitory protein); or KIAA0146, 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 an ischemic stroke showed increased gene expression in four classes of genes: genes involved in white blood cell activation and differentiation, genes related to hypoxia, genes involved in vascular repair, and genes related to a PBMC response to the altered cerebral microenvironment.


The disclosed gene expression fingerprint of ischemic stroke enables methods of evaluating a stroke, for example determining whether a subject had an ischemic stroke, determining the prognosis of a subject who had an ischemic stroke, as well as determining an appropriate treatment regimen for a subject who had an ischemic stroke. In some examples, the disclosed methods are at least 78% sensitive and at least 80% specific for identifying those subjects who have suffered an ischemic stroke, for example within the past 72 hours. In other examples, the disclosed methods are at least 80% sensitive (such as at least 85% sensitive or at least 90% sensitive) and at least 80% specific (such as at least 85% specific or at least 90% specific) for identifying those subjects who have suffered an ischemic stroke, for example within the past 72 hours. In particular examples, the disclosed methods are at least 80% sensitive for predicting the likelihood of neurological recovery of the subject.


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 an ischemic stroke, or is associated with predicted clinical sequelae, such as neurological recovery following an ischemic stroke.


The disclosed methods are the first that permit accurate diagnosis of an ischemic stroke using PBMCs with high sensitivity and specificity. PBMCs infiltrate the evolving cerebral infarct as part of the tissue remodeling process. Release of brain antigens from damaged neural cells may allow sensitization of PBMCs followed by changes in functional gene expression.


The disclosed methods can be performed on a subject who is suspected of having had a stroke, for example prior to radiographic investigation. In another example, the method is performed on a subject known to have had a 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 ischemic stroke-associated molecules that comprise, consist essentially of, or consist of, sequences (such as a DNA, RNA or protein sequence) involved in white blood cell activation and differentiation, sequences related to hypoxia, sequences involved in vascular repair, and sequences related to a PBMC response to the altered cerebral microenvironment, such as those listed in Table 5.


In other examples, ischemic stroke-associated molecules comprise, consist essentially of, or consist of, CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146, or any 1, 2, 3, 4, 5, or 6 of these molecules. For example, ischemic stroke-associated molecules can comprise, consist essentially of, or consist of, 4 or more, such as 5 or more, 10 or more, 20 or more, 22 or more, 50 or more, 75 or more, 80 or more, 82 or more, 100 or more, 150 or more, 190 or more, 200 or more, 300 or more, 500 or more, 600 or more, or 637 or more of the nucleic acid or protein sequences listed in Tables 2-5. 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 ischemic stroke-related molecules of the subject, such as any combination of at least four genes (or the corresponding proteins) listed in any of Tables 2-5, wherein the presence of differential expression of at least four ischemic-stroke related molecules indicates that the subject has had an ischemic stroke. Therefore, such methods can be used to diagnose an ischemic stroke. In particular examples, the at least four ischemic-stroke related molecules include at least one of CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; or KIAA0146, 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 CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; or KIAA0146, optionally in combination with determining if the subject has altered gene (or protein) expression of any other combination of other ischemic stroke-associated molecules, such as any combination of at least 3 other genes (for example any combination of 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 2-5.


In a particular example, differential expression is detected by determining if the subject has increased gene (or protein) expression of at least one of CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; or KIAA0146, and determining if the subject has decreased gene (or protein) expression of at least one of intercellular adhesion molecule 2, protein kinase D2, GATA binding protein 3, hypothetical protein FLJ20257, or protein kinase C, theta. For example, differential expression can be detected by determining if the subject has increased gene (or protein) expression of CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146, and determining if the subject has decreased gene (or protein) expression of intercellular adhesion molecule 2, protein kinase D2, GATA binding protein 3, hypothetical protein FLJ20257, and protein kinase C, theta.


In one example, the method includes determining if the subject has an increase in gene expression in any combination of at least four of the genes listed in Table 5, for example an increase in at least 5, at least 10, at least 15, at least 20, or at least 22 of the genes listed in Table 5. An increase in expression in any combination of four or more of the genes listed in Table 5 (or the corresponding proteins), and particularly any combination of at least one gene (or protein) from each of the four classes of genes listed in Table 5 (such as any combination of at least 2 or at least 3 sequences from each of the four classes of genes listed in Table 5) indicates that the subject has had an ischemic stroke. 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. Any one of the genes (or proteins) in Table 5 can be combined with any other combination of the genes (or proteins) in Table 5 to produce a combination or subcombination of genes (or proteins).


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 150 of the 190 of the genes listed in Table 3, for example a change in expression in at least 160, at least 170, at least 175, at least 180, or at least 185 of the genes listed in Table 3. Any one of the set of genes can be identified by a single one or the genes listed in Table 3. Any one of the genes (or proteins) in Table 3 can be combined with any other combination of the genes (or proteins) in Table 3 to produce a combination or subcombination of genes. A change in expression in any combination of 150 or more of the genes listed in Table 3 (or the corresponding proteins) indicates that the subject has had an ischemic stroke.


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 510 of the 637 of the genes listed in Table 2, for example an increase or decrease in any combination of at least 510, at least 550, at least 575, at least 600, at least 620, or at least 630 of the genes listed in Table 2. Any one of the set of genes (or proteins) can be identified by a single one or the genes (or proteins) 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 510 or more of the genes listed in Table 2 (or the corresponding proteins) indicates that the subject has had an ischemic stroke.


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 an ischemic stroke, wherein an increase or decrease in expression in any combination of four or more ischemic stroke related genes listed in Tables 2-5 compared to the control indicates that the subject has experienced an ischemic stroke. For example, an increase in expression in any combination of four or more ischemic stroke related genes (or the corresponding proteins) listed in Table 5, such as at least one gene (or the corresponding protein) from each class listed in Table 5, compared to the control indicates that the subject has experienced an ischemic stroke.


In particular examples evaluating the stroke includes predicting a likelihood of severity of neurological sequelae of the ischemic 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 the 22 ischemic-stroke related molecules listed in Table 5, indicates that the subject has a higher risk of long-term adverse neurological sequelae and therefore a lower likelihood of neurological recovery. In another example, detecting a change in expression in any combination of 150 or more of the genes listed in Table 2 or 3 (or the corresponding proteins) indicates that the subject has a higher risk of long-term adverse neurological sequelae and therefore a lower likelihood of neurological recovery. In yet another example, detecting a change in expression in any combination of at least 500 of the 637 of the genes listed in Table 2, for example an increase or decrease in any combination of at least 510, at least 550, at least 575, at least 600, at least 620, or at least 630 of the genes listed in Table 2 indicates that the subject has a higher risk of long-term adverse neurological sequelae 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 ischemic stroke, wherein a change in expression in at least the 22 ischemic-stroke related molecules listed in Table 5, such as any combination of 150 or more of the genes listed in Tables 2 or 3 (or the corresponding proteins) compared to the control indicates that the subject has a higher risk of long-term adverse neurological sequelae and therefore a lower likelihood of neurological recovery.


The disclosed methods can further include administering to a subject a treatment to avoid or reduce ischemic injury if the presence of differential expression indicates that the subject has had an ischemic stroke. For example, a change in expression in at least four ischemic stroke related molecules, such as a combination that includes at least four of the molecules listed in Tables 2-5, indicates that the subject has had an ischemic stroke (and not a hemorrhagic stroke) and is in need of thrombolytic therapy (such as t-PA or heparin), anticoagulant therapy (such as coumadin), or combinations thereof. Therefore, the disclosed methods differentiate ischemic from hemorrhagic 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 an ischemic stroke, wherein a change in expression in at least four ischemic stroke related molecules listed in Table 2-5 (or the corresponding proteins), such as at least those 22 listed in Table 5, compared to the control indicates that the subject would benefit from thrombolytic therapy, anticoagulant therapy, or combinations thereof.


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 −3.6, less than −3.7 or even less than −3.8, while a t-statistic of at least 3, such as at least 3.5, at least 3.7, or at least 3.8 indicates that the gene or protein is upregulated.


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 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 from PBMCs of a subject suspected of having had an ischemic stroke (or known to have had an ischemic stroke), such as mRNA molecules. The isolated nucleic acid molecules are contacted with or applied to an array, for example an array that includes oligonucleotide probes capable of hybridizing to ischemic stroke-associated genes. In another particular example, the disclosed methods include purifying proteins from PBMCs of a subject suspected of having had an ischemic stroke (or known to have had an ischemic stroke). The isolated proteins are contacted with or applied to an array, for example an array that includes antibody probes capable of hybridizing to ischemic stroke-associated proteins. 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 that permit evaluation of a stroke. Such arrays in particular examples permit quantitation of ischemic stroke-related nucleic acid or protein sequences present in a sample, such as a sample that includes PBMC nucleic acid molecules or proteins.


In one example, the array includes oligonucleotide probes capable of hybridizing to nucleic acid molecules (such as gene, cDNA or mRNA sequences) involved in white blood cell activation and differentiation, nucleic acid molecules related to hypoxia, nucleic acid molecules involved in vascular repair, and nucleic acid molecules related to a PBMC response to the altered cerebral microenvironment, such as at least those listed in Table 5. Examples of particular genes are provided in Tables 2-5. In particular examples, the array includes probes that recognize any combination of at least 4 of the genes listed in any of Tables 2-5, for example 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 510, at least 550, at least 575, at least 600, at least 620, or at least 630 of the genes listed in any of Tables 2-5. For example, the array can include oligonucleotide probes capable of hybridizing to a sequence that encodes at least CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146, or any one of these. In one example, the array includes oligonucleotide probes capable of hybridizing to a sequence that encodes one or more of CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; or KIAA0146, such as at least 2, at least 3, at least 4, at least 5 or at least 6 of such molecules. In some examples, the array includes probes that recognize any combination of at least one gene from each of the four classes listed in Table 5, such as at least 2, at least 3, at least 5, or at least 10 genes from each class.


The isolated nucleic acid molecules are incubated with the array for a time sufficient to allow hybridization between the isolated nucleic acid molecules and oligonucleotide probes, thereby forming isolated nucleic acid molecules:oligonucleotide probe complexes. The isolated nucleic acid molecules:oligonucleotide probe complexes are then analyzed to determine if there are changes in gene expression (such as increases or decreases), for example changes in expression of any combination of four or more of the genes listed in Table 5, such as 20 or more of the genes listed in Tables 2-5, or such as 150 or more of the genes listed in Tables 2-4. In particular examples, changes in gene expression are quantitated. The presence of increased expression of four or more genes listed in Tables 2-5 with a positive t-statistic value, or decreased expression of four or more genes listed in Tables 2-4 with a negative t-statistic 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), after multiple comparison correction, indicates that the subject has had an ischemic stroke.


In another example, the method includes isolating proteins from PBMCs of a subject suspected of having had an ischemic stroke, or known to have had an ischemic stroke. In particular examples the assay is performed on substantially purified or isolated PBMCs that have been separated, for example, for other leukocytes in the blood. The isolated proteins are contacted with or applied to an array.


Arrays that can be used to detect and quantitate proteins for evaluating stroke are also provided. For examples, the array, such as a protein-binding array, can include probes (such as an oligonucleotide probes or antibodies) capable of hybridizing to ischemic-stroke related proteins, such as proteins involved in white blood cell activation and differentiation, proteins related to hypoxia, proteins involved in vascular repair, and proteins related to a PBMC response to the altered cerebral microenvironment. Examples of particular ischemic-stroke related proteins are provided in Tables 2-5. The isolated proteins are incubated with the array for a time sufficient to allow hybridization between the proteins and probes on the array, thereby forming protein:probe complexes.


The protein:probe complexes are then analyzed and in some examples quantitated to determine if there are changes in gene expression (such as increases or decreases) in any combination of four or more of the molecules listed in any of Tables 2-5, such as changes in expression of one or more of CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-vcontaining protein 1; and KIAA0146, or 2, 3, 4, or 5 of these. In a specific example, protein:probe complexes are analyzed (for example quantitated) to determine if there are increases in expression in any combination of at least one protein from each of the four classes listed in Table 5, such as at least 2, at least 3, at least 5, or at least 10 genes from each of the classes listed in Table 5. The presence of increased or decreased expression of any combination of four or more proteins listed in Tables 2-4 (or increased expression of any combination of four or more proteins listed in Table 5), indicates that the subject has had an ischemic stroke.


In particular examples, the disclosed arrays are capable of evaluating a stroke, for example for determining whether a subject has had an ischemic stroke, determining the severity of the ischemic stroke, determining the likelihood of neurological recovery of a subject who had an ischemic stroke, determining how to treat a subject who had an ischemic stroke, or combinations thereof. Such arrays include oligonucleotides that are complementary to ischemic stroke-related genes, such as those involved in white blood cell activation and differentiation, genes related to hypoxia, genes involved in vascular repair, and genes related to a PBMC response to the altered cerebral microenvironment. Examples of particular genes are provided in Tables 2-5. Kits including such arrays are also disclosed.


In one example, proteins a biological sample are quantitated, for instance by quantitative mass spectroscopy, to determine whether proteins associated with ischemic stroke or prognosis of ischemic stroke are upregulated, downregulated, or both.


Also provided in the present disclosure are methods of identifying one or more agents that alter the activity (such as the expression) of an ischemic stroke-related molecule (for example a gene or protein), such as one or more of those listed in Tables 2-5. If desired, multiple test agents and multiple ischemic 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 ischemic stroke-related molecules simultaneously (such as all of the ischemic stroke-related molecules listed in Table 2 or Table 3). In another example, the method is used to screen the effect of multiple test agents on one ischemic stroke-related molecule, such as one of the molecules listed in Tables 2-5. In particular examples, the identified agent alters the activity of an ischemic stroke-related molecule that is upregulated or downregulated following an ischemic stroke. For example, the agent can normalize activity of an ischemic stroke-related molecule that is upregulated or downregulated following an ischemic stroke, such as by increasing the activity of an ischemic stroke-related molecule that is downregulated following an ischemic stroke, or decreasing activity of an ischemic stroke-related molecule that is upregulated following an ischemic 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 ischemic stroke. For example, the method can be used to determine if the agent alters the activity of one or more ischemic stroke-related molecules that modifies response to treatment and can predict the best responders.


In another example, the method is used to identify a particular class of agents, such as those that are effective against hypoxia. For example, one or more test agents can be screened using the methods disclosed herein, and differential expression of the disclosed hypoxia-related genes (or proteins) measured. Test agents that alter the activity of one or more disclosed hypoxia-related molecules are candidates for treatment of hypoxia.


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 ischemic stroke-related molecules are screened to identify those whose activity is altered in response to an agent. For example, the disclosed ischemic stroke-related molecules can be used determine if an agent promotes or induces ischemic stroke. Briefly, the test agent is contacted with a normal cell (such as a PBMC, endothelia, or neuronal cell), such as a cell that has not been exposed to conditions that mimic an ischemic stroke, and differential expression of one or more ischemic stroke molecules measured using the methods disclosed herein. If the agent promotes or induces differential expression of one or more, such as at least 4 of the disclosed ischemic stroke-related molecules (such as those listed in Tables 2-5) in an otherwise normal cell or mammal (for example as compared to a similar cell cultured in similar conditions without the test agent), this indicates that the agent may cause or promote an ischemic 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 ischemic 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 methods of generating a brain imaging tracer or white blood cell tracers for molecular imaging, such as imaging to determine if a subject has had an ischemic stroke. Briefly, a labeled antibody that recognizes an ischemic stroke-related molecule, such as those involved in white blood cell activation and differentiation, those involved in the response to altered cerebral microenvironment, or combinations thereof (see Table 5). 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 and advantages of the disclosure will become more apparent from the following detailed description of a several embodiments.





BRIEF DESCRIPTION OF THE FIGURE


FIG. 1 is a graph showing the effects of various multiple comparison correction techniques on the ischemic stroke microarrays.





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 used to perform RT-PCR to determine expression levels of adrenomedullin.


SEQ ID NOS: 3-4 are oligonucleotide sequences used to perform RT-PCR to determine expression levels of CD14.


SEQ ID NOS: 5-6 are oligonucleotide sequences used to perform RT-PCR to determine expression levels of CD36.


SEQ ID NOS: 7-8 are oligonucleotide sequences used to perform RT-PCR to determine expression levels of caspase 1.


SEQ ID NOS: 9-10 are oligonucleotide sequences used to perform RT-PCR to determine expression levels of a-Catenin.


SEQ ID NOS: 11-12 are oligonucleotide sequences used to perform RT-PCR to determine expression levels of FcR2a.


SEQ ID NOS: 13-14 are oligonucleotide sequences used to perform RT-PCR to determine expression levels of FcER1a.


SEQ ID NOS: 15-16 are oligonucleotide sequences used to perform RT-PCR to determine expression levels of cathepsin B.


SEQ ID NOS: 17-18 are oligonucleotide sequences used to perform RT-PCR to determine expression levels of TRL2.


SEQ ID NOS: 19-20 are oligonucleotide sequences used to perform RT-PCR to determine expression levels of INFGR1.


DETAILED DESCRIPTION OF SEVERAL EMBODIMENTS
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.


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.


PBMC: peripheral blood mononuclear cell


Real time-PCR: real time polymerase chain reaction


Administration: To provide or give a subject an agent 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.


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 ischemic stroke-associated gene. The resulting products are called amplification products.


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 NASBATM 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). Real-time quantitative TaqMan PCR has reduced the variability traditionally associated with quantitative PCR, thus allowing the routine and reliable quantification of PCR products to produce sensitive, accurate, and reproducible measurements of levels of gene expression. 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-coagulants: Agents that decrease or prevent blood clotting. Anticoagulants can avoid the formation of new clots, and prevent existing clots from growing (extending), for example by decreasing or stopping the production of proteins necessary for blood to clot. Examples include, but are not limited to, aspirin, heparin, ximelagatran, and warfarin (Coumadin). Administration of anticoagulants is one treatment for ischemic stroke, for example to prevent further strokes. A particular type of anti-coagulant are anti-platelet agents, which can also be used to prevent further strokes from occurring and include aspirin, clopidogrel (Plavix), aspirin/dipyridamole combination (Aggrenox), and ticlopidine (Ticlid). Other agents used to prevent stroke recurrence are antihypertensive drugs and lipid-lowering agents such as statins.


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 includes oligonucleotide probes or primers which can be used to detect ischemia stroke-associated sequences, such as any combination of at least four of those listed in Table 5, 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 510, at least 550, at least 575, at least 600, at least 620, or at least 630 of the sequences listed in any of Tables 2-5. In some examples, an array includes oligonucleotide probes or primers which can be used to detect at least one gene from each of the four classes of genes listed in Table 5, such as at least 2, at least 3, at least 5, or even at least 10 genes from each of the four classes of genes listed in Table 5.


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 contains antibodies to ischemic stroke-associated proteins, such as any combination of at least four of those listed in Table 5, 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 510, at least 550, at least 575, at least 600, at least 620, or at least 630 of the sequences listed in any of Tables 2-5. In particular examples, an array includes antibodies or proteins that can detect at least one protein from each class listed in Table 5, such as at least 2, at least 3, at least 5, or even at least 10 genes from each class listed in Table 5.


Baculoviral IAP repeat-containing protein 1 (Birc1): A protein that includes one or more baculoviral IAP repeat (BIR) domains, which is capable of decreasing (an in some examples inhibiting) the biological activity of caspases, and in some examples thereby decreasing or inhibiting apoptosis. The term baculoviral IAP repeat-containing protein 1 includes any Birc1 gene, cDNA, mRNA, or protein from any organism and that is a Birc1 that can decrease or inhibit caspase biological activity. Also referred to in the literature as neuronal apoptosis inhibitory protein (Naip).


Birc1 sequences are publicly available. For example, GenBank Accession Nos: NM004536 and NP004527 disclose human Birc1 nucleic acid and protein sequences, respectively and GenBank Accession Nos: NM010870 and NP035000 disclose mouse Birc1 nucleic acid and proteins sequences, respectively.


In one example, a Birc1 sequence includes a full-length wild-type (or native) sequence, as well as Birc1 allelic variants, variants, fragments, homologs or fusion sequences that retain the ability to decrease or inhibit caspase biological activity. In certain examples, Birc1 has at least 80% sequence identity, for example at least 85%, 90%, 95%, or 98% sequence identity to a native Birc1. In other examples, Birc1 has a sequence that hybridizes under very high stringency conditions to a sequence set forth in GenBank Accession No. NM010870 or NM004536, and retains Birc1 activity.


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.


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).


Bone marrow stromal cell antigen 1 (BST-1): A glycosylphosphatidylinositol (GPI)-anchored protein involved in adhesion to extracellular matrix proteins and in chemotaxis induced in vitro by formyl-methionyl-leucyl-phenylalanine (fMLP), as well as activation of white blood cells. Also known in the art as CD157. The term bone marrow stromal cell antigen 1 (BST-1) includes any BST-1 gene, cDNA, mRNA, or protein from any organism and that is a BST-1 that has BST-1 biological activity. BST-1 sequences are publicly available. For example, GenBank Accession Nos: BT019502 and AAV38309 disclose human BST-1 nucleic acid and proteins sequences, respectively.


In one example, a BST-1 sequence includes a full-length wild-type (or native) sequence, as well as BST-1 allelic variants, variants, fragments, homologs or fusion sequences that retain the ability to function in adhesion and chemotaxis. In certain examples, BST-1 has at least 80% sequence identity, for example at least 85%, 90%, 95%, or 98% sequence identity to a native BST-1. In other examples, BST-1 has a sequence that hybridizes under very high stringency conditions to a sequence set forth in GenBank Accession No. BT019502, and retains BST-1 activity.


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 an ischemic stroke. Particular examples 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.


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 an ischemic stroke-related sequence, for example any of the sequences listed in Tables 2-5) 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.


Deletion: The removal of one or more nucleotides from a nucleic acid sequence (or one or more amino acids from a protein sequence), the regions on either side of the removed sequence being joined together.


Differential expression: A difference, such as an increase or decrease, in the conversion of the information encoded in a gene (such as an ischemic 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 an ischemic stroke or an amount expected in a subject who has had an ischemic stroke. Detecting differential expression can include measuring a change in gene expression.


Downregulated or inactivation: When used in reference to the expression of a 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). 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 an ischemic stroke.


Evaluating a stroke: To determine whether an ischemic stroke has occurred in a subject, to determine the severity of an ischemic stroke, to determine the likely neurological recovery of a subject who has had an ischemic stroke, or combinations thereof.


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 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 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 ischemic stroke) as well as laboratory values, even though possibly arbitrarily set, keeping in mind that such values can vary from laboratory to laboratory.


Laboratory 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.


Fc fragment of IgG, high affinity Ia, receptor for (high affinity immunoglobulin G receptor Fc gamma RI, FcγRI): One of three classes of receptors for the Fc fragment of IgG (FcγR) that participates in immune complex clearance. Binding of ligand to FcγRI initiates multiple immune activation events, such as phagocytosis, expression of proinflammatory cytokines, and cytotoxicity against Ig-coated target cells. Also known in the art as CD64. The term FcγRI includes any FcγRI gene, cDNA, mRNA, or protein from any organism and that is a FcγRI that can function in immune complex clearance. FcγRI sequences are publicly available. For example, GenBank Accession Nos: NM000566 (nucleic acid) and CAI12557 (protein) and NP000557 (protein) disclose human FcγRI sequences.


In one example, a FcγRI sequence includes a full-length wild-type (or native) sequence, as well as FcγRI allelic variants, variants, fragments, homologs or fusion sequences that retain the ability to function in immune complex clearance. In certain examples, FcγRI has at least 80% sequence identity, for example at least 85%, 90%, 95%, or 98% sequence identity to a native FcγRI. In other examples, FcγRI has a sequence that hybridizes under very high stringency conditions to a sequence set forth in GenBank Accession No. NM000566 and retains FcγRI activity.


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 550, at least 600, or at least 630 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 ischemic 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 an ischemic stroke). In one example, a gene expression profile in a subject is read on an array (such as a nucleic acid or protein array).


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


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


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


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


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


High Stringency (Detects Sequences that Share 80% Identity or Greater)


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


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


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


Low Stringency (Detects Sequences that Share Greater than 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.


Hypothetical protein FLJ22662 Laminin A motif: The term hypothetical protein FLJ22662 Laminin A motif sequence includes any hypothetical protein FLJ22662 Laminin A motif sequence gene, cDNA, mRNA, or protein from any organism and that is a hypothetical protein FLJ22662 Laminin A motif sequence. In particular examples, hypothetical protein FLJ22662 Laminin A motif is part of a basement membrane.


Hypothetical protein FLJ22662 Laminin A motif sequences are publicly available. For example, GenBank Accession Nos: BC063561 (nucleic acid), BC000909 (nucleic acid), AAH00909 (protein) and AAH63561 (protein) disclose human sequences. In one example, a hypothetical protein FLJ22662 Laminin A motif sequence includes a full-length wild-type (or native) sequence, as well as hypothetical protein FLJ22662 Laminin A motif allelic variants, variants, fragments, homologs or fusion sequences. In certain examples, CD163 has at least 80% sequence identity, for example at least 85%, 90%, 95%, or 98% sequence identity to a native hypothetical protein FLJ22662 Laminin A motif. In other examples, hypothetical protein FLJ22662 Laminin A motif has a sequence that hybridizes under very high stringency conditions to a sequence set forth in GenBank Accession No. BC063561 or BC000909, and retains FLJ22662 activity.


Insertion: The addition of one or more nucleotides to a nucleic acid sequence, or the addition of one or more amino acids to a protein sequence.


Ischemic stroke: An ischemic stroke occurs when a blood vessel that supplies blood to the brain is blocked or narrowed (as contrasted with a hemorrhagic stroke which develops when an artery in the brain leaks or ruptures and causes bleeding inside the brain tissue or near the surface of the brain). The blockage can be a blood clot that forms or lodges inside the blood vessel (thrombus) or an object (such as an air bubble or piece of tissue) that moves through the blood from another part of the body (embolus).


Ischemic Stroke-related (or associated) molecule: A molecule whose expression is affected by an ischemic stroke. Such molecules include, for instance, nucleic acid sequences (such as DNA, cDNA, or mRNAs) and proteins. Specific examples include those listed in Tables 2-5, 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 an ischemic stroke.


Examples of ischemic stroke-related molecules whose expression is upregulated following an ischemic stroke include sequences involved in white blood cell activation and differentiation, sequences related to hypoxia, sequences involved in vascular repair, and sequences related to a specific PBMC response to the altered cerebral microenvironment, such as those genes listed in Table 5. Specific examples of ischemic stroke-related molecules whose expression is upregulated following an ischemic stroke include CD163; hypothetical protein FLJ22662 Laminin A motif; bone marrow stromal cell antigen 1 (also known as CD157); Fc fragment of IgG, high affinity Ia, receptor for (CD64); baculoviral IAP repeat-containing protein 1 (also known as neuronal apoptosis inhibitory protein); and KIAA0146, or any one of these.


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


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 nucleic acid molecules 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.


KIAA0146: The term KIAA0146 includes any KIAA0146 gene, cDNA, mRNA, or protein from any organism and that is a KIAA0146 sequence. KIAA0146 sequences are publicly available. For example, GenBank Accession Nos: AAH15561 (protein), BAA09767 (protein), D63480 (nucleic acid), and BC015561 (nucleic acid) disclose human KIAA0146 sequences.


In one example, a KIAA0146 sequence includes a full-length wild-type (or native) sequence, as well as KIAA0146 allelic variants, variants, fragments, homologs or fusion sequences. In certain examples, KIAA0146 has at least 80% sequence identity, for example at least 85%, 90%, 95%, or 98% sequence identity to a native KIAA0146. In other examples, KIAA0146 has a sequence that hybridizes under very high stringency conditions to a sequence set forth in GenBank Accession No. D63480 or BC015561, and retains KIAA0146 activity.


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. 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 sequelae: 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 an ischemic 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.


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.


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 an ischemic stroke-related nucleotide sequence, for example those listed in Tables 2-5. 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 ischemic 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. 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.


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 by molecular hybridization. In particular examples, oligonucleotide probes include a label that permits detection of oligonucleotide probe:target sequence hybridization complexes.


Open reading frame (ORF): A series of nucleotide triplets (codons) coding for amino acids without any internal termination codons. These sequences are usually translatable into a peptide.


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. 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. Thus, for example, a primer including 30 consecutive nucleotides of an ischemic stroke-related nucleotide molecule will anneal to a target sequence, such as another homolog of the designated ischemic stroke-related protein, with a higher specificity than a corresponding primer of only 15 nucleotides. Thus, in order to obtain greater specificity, primers can be selected that include 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 ischemic stroke-related nucleotide sequence. 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 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.


Recombinant: A recombinant nucleic acid molecule is one that has a sequence that is not naturally occurring or has a sequence that is made by an artificial combination of two otherwise separated segments of sequence. This artificial combination can be accomplished by chemical synthesis or by the artificial manipulation of isolated segments of nucleic acid molecules, such as by genetic engineering techniques.


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 peripheral blood mononuclear cells (PBMCs).


Sequence identity/similarity: The identity/similarity between two or more nucleic acid sequences, or two or more amino acid sequences, is expressed in terms of the identity or similarity between the sequences. Sequence identity can be measured in terms of percentage identity; the higher the percentage, the more identical the sequences are. Sequence similarity can be measured in terms of percentage similarity (which takes into account conservative amino acid substitutions); the higher the percentage, the more similar the sequences are. Homologs or orthologs of nucleic acid or amino acid sequences possess a relatively high degree of sequence identity/similarity when aligned using standard methods. This homology is more significant when the orthologous proteins or cDNAs are derived from species which are more closely related (such as human and mouse sequences), compared to species more distantly related (such as human and C. elegans sequences).


Methods of alignment of sequences for comparison are well known in the art. Various programs and alignment algorithms are described in: Smith & Waterman, Adv. Appl. Math. 2:482, 1981; Needleman & Wunsch, J. Mol. Biol. 48:443, 1970; Pearson & Lipman, Proc. Natl. Acad. Sci. USA 85:2444, 1988; Higgins & Sharp, Gene, 73:237-44, 1988; Higgins & Sharp, CABIOS 5:151-3, 1989; Corpet et al., Nuc. Acids Res. 16:10881-90, 1988; Huang et al. Computer Appls. in the Biosciences 8, 155-65, 1992; and Pearson et al., Meth. Mol. Bio. 24:307-31, 1994. Altschul et al., Mol. Biol. 215:403-10, 1990, presents a detailed consideration of sequence alignment methods and homology calculations.


The NCBI Basic Local Alignment Search Tool (BLAST) (Altschul et al., J. Mol. Biol. 215:403-10, 1990) is available from several sources, including the National Center for Biological Information (NCBI, National Library of Medicine, Building 38A, Room 8N805, Bethesda, Md. 20894) and on the Internet, for use in connection with the sequence analysis programs blastp, blastn, blastx, tblastn and tblastx. Additional information can be found at the NCBI web site.


BLASTN is used to compare nucleic acid sequences, while BLASTP is used to compare amino acid sequences. To compare two nucleic acid sequences, the options can be set as follows: −i is set to a file containing the first nucleic acid sequence to be compared (such as C:\seq1.txt); −j is set to a file containing the second nucleic acid sequence to be compared (such as C:\seq2.txt); −p is set to blastn; −o is set to any desired file name (such as C:\output.txt); −q is set to 1; −r is set to 2; and all other options are left at their default setting. For example, the following command can be used to generate an output file containing a comparison between two sequences: C:\B12seq−i c:\seq1.txt−j c:\seq2.txt−p blastn−o c:\output.txt−q−1−r2.


To compare two amino acid sequences, the options of B12seq can be set as follows: −i is set to a file containing the first amino acid sequence to be compared (such as C:\seq1.txt); −j is set to a file containing the second amino acid sequence to be compared (such as C:\seq2.txt); −p is set to blastp; −o is set to any desired file name (such as C:\output.txt); and all other options are left at their default setting.


For example, the following command can be used to generate an output file containing a comparison between two amino acid sequences: C:\B12seq−i c:\seq1.txt−j c:\seq2.txt−p blastp−o c:\output.txt. If the two compared sequences share homology, then the designated output file will present those regions of homology as aligned sequences. If the two compared sequences do not share homology, then the designated output file will not present aligned sequences.


Once aligned, the number of matches is determined by counting the number of positions where an identical nucleotide or amino acid residue is presented in both sequences. The percent sequence identity is determined by dividing the number of matches either by the length of the sequence set forth in the identified sequence, or by an articulated length (such as 100 consecutive nucleotides or amino acid residues from a sequence set forth in an identified sequence), followed by multiplying the resulting value by 100. For example, a nucleic acid sequence that has 1166 matches when aligned with a test sequence having 1154 nucleotides is 75.0 percent identical to the test sequence (1166÷1554*100=75.0). The percent sequence identity value is rounded to the nearest tenth. For example, 75.11, 75.12, 75.13, and 75.14 are rounded down to 75.1, while 75.15, 75.16, 75.17, 75.18, and 75.19 are rounded up to 75.2. The length value will always be an integer. In another example, a target sequence containing a 20-nucleotide region that aligns with 20 consecutive nucleotides from an identified sequence as follows contains a region that shares 75 percent sequence identity to that identified sequence (that is, 15≧20*100=75).







For comparisons of amino acid sequences of greater than about 30 amino acids, the Blast 2 sequences function is employed using the default BLOSUM62 matrix set to default parameters, (gap existence cost of 11, and a per residue gap cost of 1). Homologs are typically characterized by possession of at least 70% sequence identity counted over the full-length alignment with an amino acid sequence using the NCBI Basic Blast 2.0, gapped blastp with databases such as the nr or swissprot database. Queries searched with the blastn program are filtered with DUST (Hancock and Armstrong, 1994, Comput. Appl. Biosci. 10:67-70). Other programs use SEG. In addition, a manual alignment can be performed. Proteins with even greater similarity will show increasing percentage identities when assessed by this method, such as at least about 75%, 80%, 85%, 90%, 95%, 98%, or 99% sequence identity.


When aligning short peptides (fewer than around 30 amino acids), the alignment is be performed using the Blast 2 sequences function, employing the PAM30 matrix set to default parameters (open gap 9, extension gap 1 penalties). Proteins with even greater similarity to the reference sequence will show increasing percentage identities when assessed by this method, such as at least about 60%, 70%, 75%, 80%, 85%, 90%, 95%, 98%, 99% sequence identity. When less than the entire sequence is being compared for sequence identity, homologs will typically possess at least 75% sequence identity over short windows of 10-20 amino acids, and can possess sequence identities of at least 85%, 90%, 95% or 98% depending on their identity to the reference sequence. Methods for determining sequence identity over such short windows are described at the NCBI web site.


One indication that two nucleic acid molecules are closely related is that the two molecules hybridize to each other under stringent conditions, as described above. Nucleic acid sequences that do not show a high degree of identity may nevertheless encode identical or similar (conserved) amino acid sequences, due to the degeneracy of the genetic code. Changes in a nucleic acid sequence can be made using this degeneracy to produce multiple nucleic acid molecules that all encode substantially the same protein. Such homologous nucleic acid sequences can, for example, possess at least about 60%, 70%, 80%, 90%, 95%, 98%, or 99% sequence identity determined by this method. An alternative (and not necessarily cumulative) indication that two nucleic acid sequences are substantially identical is that the polypeptide which the first nucleic acid encodes is immunologically cross reactive with the polypeptide encoded by the second nucleic acid.


One of skill in the art will appreciate that the particular sequence identity ranges are provided for guidance only; it is possible that strongly significant homologs could be obtained that fall outside the ranges provided.


Sequences involved in (or related to) white blood cell activation and differentiation: Nucleic acid molecules (such as mRNA, cDNA, gene) and the corresponding protein, whose expression is altered (such as upregulated or downregulated) in connection with the specialization, mobilization, or proliferation of white blood cells, or combinations thereof, for example sequences that are differentially expressed to cause (or are differentially expressed as a result of) specialization, mobilization, and/or proliferation of white blood cells.


Exemplary sequences involved in white blood cell activation and differentiation include genes involved in cell adhesion, enzymes involved in the cell membrane remodeling allowing preparation for change to a more differentiated state, and genes related to cell-cell interactions. Particular examples include, but are not limited to, CD163; hypothetical protein FLJ22662 Laminin A motif; amyloid beta (A4) precursor-like protein 2; N-acetylneuraminate pyruvate lysase; v-fos FBJ murine osteosarcoma viral oncogene homolog; toll-like receptor 2; chondroitin sulfate proteoglycan 2 (versican); interleukin 13 receptor, alpha 1; CD14 antigen; bone marrow stromal cell antigen 1 (also known as CD157); complement component 1, q subcomponent, receptor 1; and paired immunoglobin-like type 2 receptor alpha; and Fc fragment of IgG, high affinity Ia, receptor for (CD64).


Sequences involved in (or related to) hypoxia: Nucleic acid molecules (such as mRNA, cDNA, gene) 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 an ischemic stroke. Particular examples include, but are not limited to, adrenomedullin; dual specificity phosphatase 1; cytochrome b-245, beta polypeptide (chronic granulomatous disease); ;eukotriene A4 hydrolase; erythroblastosis virus E26 oncogene homolog 2 (avian); and neutrophil cytosolic factor 2 (65 kDa, chronic granulomatous disease, autosomal 2).


Sequences involved in (or related to) vascular repair: Nucleic acid molecules (such as mRNA, cDNA, gene) and the corresponding protein, whose expression is altered (such as upregulated or downregulated) in response to injury to a blood vessel. Particular examples include, but are not limited to, thrombomodulin; ectonucleoside triphosphate diphosphohydrolase 1; and CD36 antigen (collagen type I receptor, thrombospondin receptor).


Sequences involved in (or related to) a specific PBMC response to the altered cerebral microenvironment: Nucleic acid molecules (such as mRNA, cDNA, gene) and the corresponding protein, whose expression is altered (such as upregulated or downregulated) in PBMCs in response to changes in the brain microenvironment.


Examples include those potentially associated with enhanced neurotransmitter degradation (such as catechol-o-methyl transferase and glutamine ligase), those that permit increased modulation of Ca2+ homeostasis in the cerebral environment, genes involved in the inhibition of neuronal apoptosis (such as the neuronal apoptosis inhibitory protein and Ets2), genes involved in proNGF-induced neuronal cell death (such as sortilin), genes involved in apoptotic cell death in the hippocampus after global cerebral ischemic injury (such as phospholipid scramblase 1), and genes involved in neurite growth in neuronal development (such as growth arrest-specific 7).


Particular examples include, but are not limited to, catechol-O-methyltransferase; glutamate-ammonia ligase (glutamine ligase); 5100 calcium binding protein A8 (calgranulin A); 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; sortilin; phospholipid scramblase 1; growth-arrest-specific 7; and GLI pathogenesis-related 1 (glioma).


Subject: Living multi-cellular vertebrate organisms, a category that includes human and non-human mammals.


Target sequence: A sequence of nucleotides located in a particular region in the human genome that corresponds to a desired sequence, such as ischemic 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 ischemic stroke, such as any of those listed in Tables 2-5.


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).


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 an anticoagulant or a thrombolytic agent, is administered in therapeutically effective amounts.


Effective amounts a therapeutic agent can be determined in many different ways, such as assaying for a reduction in atherosclerotic disease or improvement of physiological condition of a subject having vascular disease. Effective amounts also can be determined through various in vitro, in vivo or in situ assays.


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.


In one example, it is an amount sufficient to partially or completely alleviate symptoms of ischemic stroke within a subject. Treatment can involve only slowing the progression of the ischemic stroke temporarily, but can also include halting or reversing the progression of the ischemic stroke permanently. For example, a pharmaceutical preparation can decrease one or more symptoms of ischemic 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.


Thrombolytics: Agents that promote lysis of thrombi that occlude a cerebral vessel. Examples include, but are not limited to, tissue plasminogen activator (tPA), urokinase, and pro-urokinase. Administration of antithrombotics is one treatment for ischemic stroke, and is often a first line treatment for ischemic stroke. For example, intravenous t-PA can be administered within 3 hours of ischemic stroke onset. Intra-arterial thrombolytic therapy and mechanical clot-retrieval devices can be used to promote rapid lysis of thrombi.


Treating a disease: “Treatment” refers to a therapeutic intervetnion that ameliorates a sign or symptom of a disease or pathological condition, such a sign or symptom of vascular disease. Treatment can also induce remission or cure of a condition, such as an ischemic 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 an ischemic 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 culturing cells (such as PBMCs) under conditions sufficient to mimic an ischemic stroke, such as culturing the cells under hypoxic conditions, hypoglycemic conditions, or both.


In another example, includes administering a test agent to a cell culture or a subject sufficient to allow the desired activity. In particular examples, the desired activity is altering the activity (such as the expression) of an ischemic stroke-related molecule.


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.


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. 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). In one example, a control is a relative amount of gene expression in a PBMC in a subject who has not suffered an ischemic stroke.


Ischemic Stroke-Related Molecules

The inventors have identified 22-637 genes whose expression is altered (such as upregulated or downregulated) following an ischemic stroke. The number of genes identified depended on the specificity and sensitivity of the algorithm used. For example, using the PAM dataset 22 ischemic stroke related genes were identified (Table 5), using the Westfall and Young dataset 82 ischemic stroke related genes were identified (Table 4), using the Bonferroni correction set 190 ischemic stroke related genes were identified (Table 3), and using the Benjamini & Yekutieli set 637 ischemic stroke related genes were identified (Table 2). 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 ischemic stroke were identified, such as at least CD163; hypothetical protein FLJ22662 Laminin A motif; bone marrow stromal cell antigen 1 (BST-1, also referred to in the literature as CD157); Fc fragment of IgG, high affinity Ia, receptor for (FcγRI, also known as CD64); baculoviral IAP repeat-containing protein 1; and KIAA0146. In particular examples, all of these genes were upregulated following an ischemic stroke. In one example, four classes of genes whose expression was upregulated following an ischemic stroke were identified: sequences involved in activation and differentiation of white blood cells, sequences related to hypoxia, sequences involved in vascular repair, and sequences related to altered cerebral microenvironment. Particular examples of such genes (and their corresponding proteins) are provided in Table 5.


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


The disclosed methods provide a rapid, straightforward, and accurate genetic screening method performed in one assay for evaluating ischemic stroke. It allows identification of subjects who may require anticoagulant therapy following an ischemic stroke. For example, by establishing that an individual has had an ischemic stroke, effective therapeutic measures, such as the emergent administration of a thrombolytic agent or of treatments to prevent stroke recurrence and extension, can be instituted.


Evaluation of an Ischemic 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 an ischemic stroke, has had an ischemic stroke, assessing the severity of an ischemic stroke, predicting the likelihood of neurological recovery of a subject who has had an ischemic stroke, or combinations thereof. The identification of a subject who has had an ischemic stroke can help to evaluate other clinical data (such as neurological impairment or brain imaging information) to determine whether 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 an ischemic stroke within the previous 72 hours, such as within 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 an ischemic stroke.


In particular examples, the method also includes administering an appropriate treatment therapy for subjects who have had an ischemic stroke. For example, subjects identified or evaluated as having had an ischemic stroke can then be provided with appropriate treatments, such as anti-platelet agents (for example aspirin) that would be appropriate for a subject identified as having had an ischemic stroke but not as appropriate for a subject who has had a hemorrhagic stroke. It is helpful to be able to classify a subject as having had an ischemic stroke, because the treatments for ischemic stroke are often distinct from the treatments for hemorrhagic 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 ischemic stroke but not hemorrhagic 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 ischemic stroke-related molecules of the subject, such as any combination of at least four of the genes (or proteins) listed in any of Tables 2-5. In one example, the method includes screening expression of one or more of CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; or KIAA0146, or a combination of ischemic stroke-related molecules that includes at least 1, at least 2, at least 3, at least 4, at least 5 or at least 6 of these molecules. For example, the method can include screening expression of CD163, along with other ischemic stroke-related molecules (such as any combination that includes at least 3 additional molecules listed in Tables 2-5).


Differential expression can be represented by increased or decreased expression in the at least one ischemic 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 evaulative methods in which changes in gene expression in at least four ischemic 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 an ischemic 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 510, at least 550, at least 575, at least 600, at least 620, at least 630, or at least 637 ischemic stroke-related molecules. Exemplary ischemic stroke-related molecules are provided in Tables 2-5.


In particular examples a change in expression is detected in a subset of ischemic 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 an ischemic stroke. In a particular example, the subset of molecules can include a set of any combination of four ischemic stroke-related genes listed in Table 5, or a set of any combination of 22 ischemic stroke-related genes listed in Table 5. In a particular example, the subset of molecules includes any combination of at least one gene (or protein) from each class of the four classes listed in Table 5, such as at least 2, at least 3, at least 5, or at least 10 genes from each class listed in Table 5.


In a particular example, differential expression is detected in ischemic stroke-related molecules that are both upregulated and down regulated. For example, increased expression of one or more of CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; or KIAA0146, and decreased gene (or protein) expression of one or more of intercellular adhesion molecule 2, protein kinase D2, GATA binding protein 3, hypothetical protein FLJ20257, or protein kinase C, theta, indicates that the subject has had a stroke, has had a severe 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 CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146, and determining if the subject has decreased gene (or protein) expression of intercellular adhesion molecule 2, protein kinase D2, GATA binding protein 3, hypothetical protein FLJ20257, and protein kinase C, theta.


In particular examples, the number of ischemic stroke-related genes screened is 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 510, at least 550, at least 575, at least 600, at least 620, at least 630, or at least 637 ischemic stroke-related molecules. In other examples, the methods employ screening no more than 637, no more than 630, no more than 620, no more than 600, no more than 575, no more than 550, no more than 510, no more than 500, no more than 400, no more than 300, no more than 250, no more than 200, no more than 185, no more than 180, no more than 175, no more than 170, no more than 160, no more than 150, no more than 100, no more than 50, 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 ischemic stroke-related genes. Examples of particular ischemic stroke-related genes are shown in Tables 2-5. In one example, the number of ischemic stroke-related genes screened includes at least one gene from each class listed in Table 5, such as at least 2, at least 3, at least 5, or at least 10 genes from each class listed in Table 5.


In certain methods, differential expression includes over- or under-expression of an ischemic stroke-related molecule. 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 Table 5, or any combination of at least 4 molecules in any of Tables 2-4 with a positive t-statistic value, such as a t-statistic value of at least 3, such as at least 3.5, at least 3.6 or even at least 3.7. In a particular example, differential expression includes overexpression of any combination of at least one gene from each class listed in Table 5, such as at least 2, at least 3, at least 5, or at least 10 genes from each of the classes listed in Table 5. In another example, differential expression includes underexpression, for instance underexpression of any combination of at least 5 molecules (such at least 50 or at least 150 molecules) shown in Tables 2-4 with a negative t-statistic value, such as a t-statistic value of less than −3, such as less than −3.5, less than -3.6 or even less than −3.7. In a specific example, differential expression includes any combination of underexpression or overexpression of at least 4 ischemic stroke-related molecules shown in Tables 2-4, such as overexpression of at least 3 ischemic stroke-related molecules shown in Tables 2-5 with a positive t-statistic value and underexpression of at least one ischemic stroke related molecule shown in Tables 2-4 with a negative t-statistic value, or for example overexpression of at least 4 ischemic stroke-related molecules shown in Tables 2-5 with a positive t-statistic value, or for example, overexpression of at least 2 ischemic stroke-related molecules shown in Tables 2-5 with a positive t-statistic value and underexpression of at least 2 ischemic stroke related molecules shown in Tables 2-4 with a negative t-statistic value.


In some examples, differential expression of proteins that are associated with ischemic stroke includes detecting patterns of such expression, such as detecting upregulation of CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; or KIAA0146, detecting downregulation of intercellular adhesion molecule 2, protein kinase D2, GATA binding protein 3, hypothetical protein FLJ20257, or protein kinase C, theta, or combinations thereof. 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 hypothetical protein FLJ22662 Laminin A motif; at least 25% for BST-1; FcγRI; at least 25% for baculoviral IAP repeat-containing protein 1; at least 25% for KIAA0146; at least 25% for intercellular adhesion molecule 2; at least 25% for protein kinase D2; at least 25% for GATA binding protein 3; at least 25% for hypothetical protein FLJ20257; and at least 25% for protein kinase C, theta. Alternatively, upregulation is detected by a level having a t-value of at least 3 and downregulation is detected by a level having a t-value value of no more than −3.


In particular examples, the disclosed method of evaluating a stroke is at least 78% 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 at least 98% specific) for determining whether a subject has had an ischemic stroke.


As used herein, the term “ischemic stroke-related molecule” includes ischemic stroke-related nucleic acid molecules (such as DNA, RNA, for example cDNA or mRNA) and ischemic stroke-related proteins. The term is not limited to those molecules listed in Tables 2-5 (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 an ischemic stroke, including all of such molecules listed herein. Examples of particular ischemic stroke-related genes are listed in Tables 2-5, such as CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; or KIAA0146. In examples where the ischemia-related molecule is an ischemia -related nucleic acid sequence, methods of detecting differential expression can 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 ischemia-related molecule is an ischemia -related protein sequence, methods of detecting differential expression can 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.


In particular examples, methods of evaluating a subject who has had or is thought to have had an ischemic 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 2-5, such as at least 10, at least 15, at least 20, or at least 22 of the genes listed in Table 5, such as at least 150, at least 180, or at least 185 of the gene listed in Table 3, or any combination of at least 500, at least 600, or at least 630 of the genes listed in Table 2. In one example, the method includes determining a level of expression of at least CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; or KIAA0146, or any combination of ischemic stroke related molecules that includes 1, 2, 3, 4, 5, or 6 of these molecules. In one example, the method includes determining a level of expression of at least one gene from each class listed in Table 5, 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 a cerebral ischemic event, and predicting neurological recovery. Similarly, methods of evaluating a stroke can include determining the severity of a stroke, predicting neurological recovery, or combinations thereof. For example, a change in expression in any combination of at least 4 of the genes listed in Tables 2-5 indicates that the subject has had an ischemic stroke. For example, an increase in expression in one or more of CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; or KIAA0146 in particular examples indicates that the subject has had an ischemic stroke.


Determining the level of expression can involve measuring an amount of the ischemia-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 an ischemic stroke or a standard ischemic stroke-related molecule level in analogous samples from a subject not having ischemia or not having a predisposition developing ischemia), 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 4 ischemia-related molecules listed in Tables 2-5, such as any combination of at least 4 ischemia-related molecules listed in Table 5, in the subject relative to the control sample is diagnostic for ischemic 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 22 of the sequences listed in Table 5, for example at least 150 of the genes listed in Table 3, such as at least 160, at least 170, at least 175, at least 180, or at least 185 of the genes listed in Table 3, or at least 500 of the ischemic stroke-related molecules listed in Table 2, such as at least 600 of the ischemic stroke-related molecules listed in Table 2. A change in expression in at least four genes listed in Table 5 (or the corresponding proteins), such as at least 22 of the genes (or the corresponding proteins) listed in Table 5, such as 150 or more of the genes listed in Table 3 (or the corresponding proteins), such as 500 or more of the genes listed in Table 2 (or the corresponding proteins, indicates that the subject has had a more severe stroke, has a higher risk of long term adverse neurological sequelae, or combinations thereof, than a subject having a change in expression in less than 500 of the molecules listed in Table 3, less than 150 of the molecules listed in Table 3 or less than 22 (or less than four) of the molecules listed in Table 5. Determining the level of expression can involve measuring an amount of the ischemia-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 an ischemic 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 4 or at least 22 of the ischemia-related molecules listed in Table 5 (such as at least 150 of the ischemia-related molecules listed in Table 3 or such as at least 500 of the ischemia-related molecules listed in Table 2) in the subject relative to the control sample indicates that the subject has had a more severe stroke, has a higher risk of long term adverse neurological sequelae, or both.


The disclosed methods can further include administering to the subject an appropriate treatment to avoid or reduce ischemic injury, if the presence of differential expression indicates that the subject has had an ischemic stroke. Since the results of the disclosed assays are reliable predictors of the ischemic 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 thrombolytic therapy designed to lyse a neurovascular occlusion such as a thrombus (for example by using tissue plasminogen activator or streptokinase) should be administered to the subject. In certain example, thrombolytic therapy 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 ischemic in nature. Such methods can reduce brain damage following an ischemic 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 22 of the sequences listed in Table 5, for example at least 150 of the genes listed in Table 3, such as at least 160, at least 170, at least 175, at least 180, or at least 185 of the genes listed in Table 3, or at least 500 of the ischemic stroke-related molecules listed in Table 2, such as at least 600 of the ischemic stroke-related molecules listed in Table 2. In some examples, detecting differential expression of at least 4 ischemic stroke-related molecules involves quantitatively or qualitatively analyzing a DNA, mRNA, cDNA, protein, or combinations thereof.


If differenential expression is detected in at least four, at least 22, at least 150, or at least 500 ischemic stroke-related molecules is identified, this indicates that the subject has experienced an ischemic stroke (and not a hemorrhagic 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 an anticoagulant, an antithrombotic, or combinations thereof. A particular example includes administration of a thrombolytic agent such as t-PA to lyse the blood clot, alone or in combination with one or more agents that prevent further strokes, such as anticoagulants (such as antiplatelet agents), antihypertensive agents, or lipid lowering 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 consecutive nucleotides of an ischemic stroke-related nucleic acid sequence (such as any of the sequences listed in Tables 2-5). Expression of the nucleic acid molecule will change expression of the ischemic stroke-related protein. The nucleic acid molecule can be in an antisense orientation relative to the promoter or in sense orientation relative to the promoter. In some examples, the recombinant genetic construct expresses an ssRNA corresponding to an ischemic stroke-related nucleic acid sequence.


In examples of the methods described herein, detecting differential expression of at least four ischemic 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 ischemic 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 cerebral ischemic event. In other examples, the method is performed prior to performing any diagnostics imaging tests (such as those that can find anatomic evidence of ischemic stroke). For example, it can be difficult for imaging modalities (such as CT and MRI) to detect acute ischemic strokes, at least until brain changes (such as edema) have taken place in response to the ischemia. Hence the assay described herein is able to detect the stroke even before definitive brain imaging evidence of the stroke is known.


The neurological sequelae of an ischemic 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 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 an ischemic 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 an ischemic 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 ischemic 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. The inflammatory response from peripheral blood borne white blood cells, in particular monocytes, are also a component of the evolving ischemic lesion (Kochanek et al., Stroke 23:1367-79, 1992). One advantage of using blood (for example instead of brain tissue) is that it is easily available can be drawn serially.


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.).


Arrays for Detecting Nucleic Acid and Protein Sequences

In particular examples, methods for detecting a change in expression in the disclosed ischemic stroke-related genes listed in Tables 2-5 use the arrays disclosed herein. Arrays can be used to detect the presence of sequences whose expression is upregulated or downregulated in response to an ischemic stroke, such as sequences listed in Tables 2-5, for example using specific oligonucleotide probes or antibody probes. The arrays herein termed “ischemic stroke detection arrays,” are used to evaluate a stroke, for example to determine whether a subject has had an ischemic stroke, determine the severity of the stroke, predict the likelihood of neurological recovery of a subject who has had an ischemic stroke, to identify an appropriate therapy for a subject who has had an ischemic 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 any combination of at least four of the ischemic stroke-related gene sequences listed in Table 5, at least 150 of the ischemic stroke-related gene sequences listed in Table 3, or at least 500 of the ischemic stroke-related gene sequences listed in Table 2. In particular examples, an array includes oligonucleotides that can recognize all 22 ischemic stroke-associated genes listed in Table 5, all 82 of the ischemic stroke-related gene sequences listed in Table 4, all 190 of the ischemic stroke-related gene sequences listed in Table 3, or all 637 of the ischemic stroke-related gene sequences listed in Table 2. Certain of such arrays (as well as the methods described herein) can include ischemic stroke-related molecules that are not listed in Tables 2-5.


In a specific example, an array includes oligonucleotide probes that can recognize at least CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146, or a probe that can recognize any one of these molecules. For example, the array can include 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, CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146. In another example, the array includes an oligonucleotide probe that can recognize at least CD163, for example in combination with other oligonucleotide probes that recognize other ischemic stroke related molecules (such as any combination of at least 3 of those listed in Tables 2-5).


In another specific example, an array includes oligonucleotide probes that can recognize at least one white blood cell activation and differentiation gene, at least one gene related to hypoxia, at least one gene involved in vascular repair, and at least one gene related to a specific PBMC response to the altered cerebral microenvironment, 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 ischemic 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 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 ischemic stroke-related sequences, such as gene sequences (or corresponding proteins) listed in Tables 2-5. Such sequences can be determined by examining the sequences of the different species, and choosing oligonucleotide sequences that specifically anneal to a particular ischemic stroke-related sequence (such as those listed in Tables 2-5 or represented by those listed in Tables 2-5), but not others. One of skill in the art can identify other ischemic stroke-associated oligonucleotide molecules that can be attached to the surface of a solid support for the detection of other ischemic 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 ischemic stroke-associated nucleic acid sequences. An optimum length for use with a particular ischemic 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-ischemic 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 protein sequences (or a fragment of such proteins, or antibodies specific to such proteins or protein fragments), which include at least four of the ischemic stroke-related protein sequences listed in Table 5, at least 150 of the ischemic stroke-related protein sequences listed in Table 3, or at least 500 of the ischemic stroke-related protein sequences listed in Table 2. In particular examples, an array includes proteins that can recognize all 22 ischemic stroke-associated proteins listed in Table 5, all 82 of the ischemic stroke-related protein sequences listed in Table 4, all 190 of the ischemic stroke-related proteins listed in Table 3, or all 637 of the ischemic stroke-related proteins listed in Table 2. Such arrays can also contain any particular subset of the sequences listed in Tables 2-5. For example, an array can include probes that can recognize at least one white blood cell activation and differentiation protein, at least one protein related to hypoxia, at least one protein involved in vascular repair, and at least one protein related to a specific PBMC response to the altered cerebral microenvironment, 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 probes that recognize one or more of CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; or KIAA0146. For example, the array can include a probe that recognizes CD163 and additional probes that recognize other ischemic stroke related proteins (such as any combination of at least 3 or at least 22 of those listed in Tables 2-5).


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 ischemic stroke-related proteins can be detected using, for instance, an ischemic 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 an ischemic 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 ischemic stroke-related protein present in the sample. A difference in the level of an ischemic stroke-related protein in the sample, relative to the level of an ischemic stroke-related protein found an analogous sample from a subject who has not had an ischemic stroke, in particular examples indicates that the subject has suffered an ischemic 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 difluroide, polyfluoroethylene-propylene, polyethylenevinyl alcohol, polymethylpentene, polycholorotrifluoroethylene, polysulfornes, 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, herein incorporated by reference).


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 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.


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, herein incorporated by reference). 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. Particularly disclosed for preparation of arrays at this time are biaxially oriented polypropylene (BOPP) films; in addition to their durability, BOPP films 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, herein incorporated by reference). In another example, sequences are synthesized directly onto the support to provide the desired array (see U.S. Pat. No. 5,554,501, herein incorporated by reference). 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, herein incorporated by reference).


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 a PBMC) can contain altered levels of one or more genes associated with ischemic stroke, such as those listed in Tables 2-5. Changes in expression can be detected to evaluate a stroke, or example to determine if the subject has had an ischemic stroke, to determine the severity of the stroke, to determine the likelihood of neurological recovery of a subject who has had an ischemic stroke, to determine the appropriate therapy for a subject who has had an ischemic 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, 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.


The nucleic acid molecules obtained from the subject that are associated with ischemic stroke are applied to an ischemic stroke detection array under suitable hybridization conditions to form a hybridization complex. In particular examples, the nucleic acid molecules 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, herein incorporated by reference).


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 ischemic 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 ischemic 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, herein incorporated by reference).


Once the nucleic acid molecules associated with ischemic stroke from the subject have been hybridized with the oligonucleotides present in the ischemic stroke detection array, the presence of the hybridization complex can be analyzed, for example by detecting the complexes.


Detecting a hybridized complex in an array of oligonucleotide probes has been previously described (see U.S. Pat. No. 5,985,567, herein incorporated by reference). 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.


In particular examples, the method further includes quantification, for instance by determining the amount of hybridization.


Kits

The present disclosure provides for kits that can be used to evaluate a stroke, for example to determine if a subject has had an ischemic stroke, to determine the severity of the stroke, to determine the likelihood of neurological recovery of a subject who has had an ischemic stroke, to determine the appropriate therapy for a subject who has had an ischemic stroke, or combinations thereof. Such kits allow one to determine if a subject has a differential expression in ischemic stroke-related genes, such as any combination of four or more of those listed in Table 5, any combination of 150 or more of those listed in Table 3, or any combination of 500 or more of those listed in Table 2, for example any combination of at least one gene from each class of genes listed in Table 5 (such as at least 2 or at least 3 genes from each of the four classes of genes listed in Table 5).


The disclosed kits include a binding molecule, such as an oligonucleotide probe that selectively hybridizes to an ischemic 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, such as at least 5, at least 10, at least 15, at least 20, or at least 22 of the ischemic stroke-related molecules listed in Table 5, such as any combination of at least 150 of the molecules in Table 3, such as at least 160, at least 170, at least 175, at least 180, at least 185, or at least 190 of the sequences listed in Table 3, such as any combination of at least 500 of the molecules in Table 2, such as at least 525, at least 550, at least 575, at least 600, at least 610, or at least 637 of the sequences listed in Table 2. In particular examples, the kit includes oligonucleotide probes or primers (or antibodies) that recognize at least one gene (or protein) from each class listed in Table 5, 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 CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146. In one particular example, the kit includes oligonucleotide probes or primers (or antibodies) that recognize at least 1, at least 2, at least 3, at least 4, at least 5 or at least 6 of CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; or KIAA0146. In another particular example, the kit includes oligonucleotide probes or primers (or antibodies) that recognize CD163, for example in combination with oligonucleotide probes or primers (or antibodies) that recognize any combination of at least three ischemic stroke related molecules listed in Tables 2-5.


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


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 ischemic stroke-related target nucleic acid sequences for hybridization with an ischemic 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.


Ischemic Stroke Therapy

The present disclosure also provides methods of reducing brain injury in a subject determined to have suffered an ischemic stroke. For example, if using the assays described above a change in expression in at least 4 of the ischemic stroke-related molecules listed in Table 5 is detected in the subject, for example at least 22 of the ischemic stroke-related molecules listed in Table 5 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 500 of the ischemic stroke-related molecules listed in Table 2 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 one or more anticoagulant agents. 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 ischemic stroke-related molecules.


Screening Test Agents

Based on the identification of multiple ischemic stroke-related molecules whose expression is altered following an ischemic stroke (such as those listed in Tables 2-5), 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 an ischemic stroke-related molecule, such as a gene (or its corresponding protein) involved in vascular repair, response to hypoxia, response to altered cerebral microenvironment, or combinations thereof (see Table 5). Normalizing activity (such as the expression) of an ischemic stroke-related molecule can include decreasing activity of an ischemic stroke-related molecule whose activity is increased following an ischemic stroke, or increasing activity of an ischemic stroke-related molecule whose activity is decreased following an ischemic stroke. In another example, the method permits identification of agents that enhance the activity of an ischemic stroke-related molecule, such as an ischemic stroke-related molecule whose activity provides a protective effect to the subject following an ischemic stroke. For example, the method permits identification of agonists. In yet another example, the method permits identification of agents that decrease the activity of an ischemic stroke-related molecule, such as an ischemic stroke-related molecule whose activity results in one or more negative symptoms of ischemic 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 an ischemic stroke, for example to alleviate or prevent one or more symptoms of an ischemic 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 an ischemic 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 an ischemic stroke-related molecule, such as at least one of the molecules listed in Tables 2-5. Subsequently, the activity of the ischemic stroke-related molecule is determined, for example by measuring expression of one or more ischemic stroke-related molecules or by measuring an amount of biological activity of one or more ischemic stroke-related proteins. A change in the activity one or more ischemic stroke-related molecule indicates that the test agent alters the activity of an ischemic stroke-related molecule listed in Tables 2-5. In particular examples, the change in activity is determined by a comparison to a standard, such as an amount of activity present when no ischemic stroke has occurred, or an amount of activity present when an ischemic 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 an ischemic 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 one example, the method is an in vitro assay. For example, cells, such as cells that can provide a model of what happens in vivo following an ischemic stroke, are cultured under conditions sufficient for mimicking an ischemic stroke, such as hypoxia, hypoglycemia, or combinations thereof. Simultaneously or at a time thereafter, one or more test agents are incubated with the cells under conditions sufficient for the test agent to have the desired effect on the cell, for example to alter (such as normalize) the activity of a ischemic stroke-related molecule. In particular examples, the test agent has the desired effect on more than one ischemic stroke-related molecule.


Examples of cells that can be used include, but are not limited to: PBMCs, endothelial cells, neuronal cells, or combinations thereof. Methods of isolating PBMCs from a subject are disclosed herein. Neuronal cells and endothelial cells can also be obtained from a subject, such as a mammal, and grown as a primary culture using standard methods. For example, endothelial cells can be obtained from umbilical cord tissue (for example see Ulrich-Merzenich et al., In Vitro Cellular & Developmental Biology-Animal, 38: 265-72, 2002); coronary arteries (Dame et al., In Vitro Cellular & Developmental Biology-Animal, 39:402-6, 2003); or lung tissue (for example see Dong et al., Arteriosclerosis, Thrombosis, and Vascular Biology, 17:1599-604, 1997). For example, neuronal cells can be obtained from mammalian brain tissue (for example see Shevtsova et al., Exp. Physiol. 90:53-9, 2005 and Buse et al., Brain Res. 283:221-34, 1983). In one example, established neuronal or endothelial tissue culture cell lines are used, such as those available from American Type Culture Collection (ATCC) and other commercial sources. For example, rat PC12 pheochromocytoma neurosecretory cell line (ATCC No. CRL-1721), human neuronal HCN-2 cells (ATCC No. CRL-10742), the rat neuronal RSC96 cell line (CRL-2765), human HAAE-2 endothelial cells (ATCC No. CRL-2473), human HPAE-26 endothelial cells (ATCC No. CRL-2598), human aortic endothelial cells (Clonetics), and bovine FBHE endothelial cells (ATCC No. CRL-1395) are particular examples of cell lines that can be used. However one skilled in the art will appreciate that other cell lines can be used.


Methods of providing conditions sufficient for mimicking an ischemic stroke in vitro are known in the art. For example, cells can be exposed to hypoxic conditions (low oxygen) by culturing the cells in an atmosphere controlled-culture chamber (for example a chamber from Bellco Glass [Vineland, N.J.]; a modular hypoxia chamber [Billups-Rothenberg]; an Espec [Grand Rapids, Mich.]; or BIO-LABO [Juji Field, Tokyo, Japan]. A particular example of hypoxic conditions is a chamber containing a gas mixture of 94% N2, 5% CO2, and 1% O2. Cells are generally grown at 37° C. The amount of time the cells are exposed to hypoxic conditions can vary. In particular examples, cells are exposed to hypoxic conditions for at least 10 minutes, such as at least 30 minutes, at least 1 hour, at least 6 hours, at least 12 hours, or even at least 24 hours. In one example, hypoxic conditions are used to identify free radical scavenger agents.


Another method that can be used to mimic an ischemic stroke is to expose the cells to hypoglycemic conditions (low glucose). Hypoglycemia (such as <30 mg glucose/dl) can result from ischemia (for example using the conditions described above), or can be induced by culturing cells in growth medium that does not contain added glucose. Cells are generally grown at 37° C. The amount of time the cells are exposed to hypoglycemic conditions (deprived of glucose) can vary. In particular examples, cells are exposed to hypoglycemic conditions for at least 1 hour, such as at least 4 hours, at least 6 hours, at least 12 hours, at least 24 hours, at least 48 hours, or even at least 72 hours. In some examples, the hypoglycemic conditions are combined with hypoxic conditions.


One or more test agents are incubated with the cells under conditions sufficient for the test agent to have the desired effect on the cell. The agent can be added at a time subsequent to mimicking an ischemic stroke, or at substantially the same time as mimicking an ischemic stroke. In one example, the agent is added at least 30 minutes after mimicking an ischemic 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 mimicking an ischemic stroke.


In another example, the method is an in vivo assay. For example, agents identified as candidates in the in vitro assay can be tested in vivo for their ability to alter (such as normalize) the activity of a ischemic stroke-related molecule (such as one or more of those listed in Tables 2-5). In particular examples, the mammal has had an ischemic stroke or has been exposed to conditions that induce an ischemic 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 an ischemic stroke-related molecule or a pattern of ischemic stroke-related molecules. In particular examples, the test agent has the desired effect on more than one ischemic stroke-related molecule.


Methods of providing conditions sufficient for inducing an ischemic stroke in vivo are known in the art. For example, ischemic stroke can be induced in a mammal by occlusion of the middle cerebral artery (MCA) under anesthesia. Ischemic stroke can also be induced in a mammal (such as a rat), for example by three-vessel (bilateral vertebral and unilateral common carotid artery) occlusion (3-VO) to induce unilaterally accentuated brain hypoperfusion under anesthesia (for example using the method described in Busch et al., J. Cereb. Blood Flow Metab. 23:621-8, 2003) or by the four-vessel occlusion (4-VO) method to induce transient forebrain ischemia. In another example, the subject is exposed hypoxic conditions. For example, a mammal can be exposed to sublethal hypoxia conditions, such as 11% oxygen for 2 hours. In another example, the right carotid artery is ligated and mammal exposed to 8% oxygen for 2 hours.


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, or transdermal. The agent can be administered at a time subsequent to the ischemic stroke, or at substantially the same time as the ischemic stroke. In one example, the agent is added at least 30 minutes after the ischemic 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 ischemic stroke.


The effect on the one or more test agents on the activity of one or more ischemic stroke-related molecules can be determined using methods known in the art. For example, the effect on expression of one or more ischemic stroke-related genes can be determined using the arrays and methods disclosed herein. For example, RNA can be 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 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 ischemic stroke-related genes, such at least 1, at least 2, or at least 3 of those listed in Tables 2-5, or to a pre-selected pattern of such genes that is associated with ischemic stroke. In a particular example, the one or more pre-selected ischemic stroke-related genes include at least one gene involved in vascular repair, at least one response to hypoxia gene, at least one response to altered cerebral microenvironment gene, or combinations thereof (for example see Table 5). 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 ischemic stroke-related proteins, such at least 1, at least 2, or at least 3 of those listed in Tables 2-5, or a pattern of upregulation or downregulation of pre-identified or pre-selected proteins. In a particular example, the one or more pre-selected ischemic stroke-related proteins include at least one protein involved in vascular repair, at least one response to hypoxia protein, at least one response to altered cerebral microenvironment protein, or combinations thereof (for example see Table 5). In a particular example, mass spectrometry is used to analyze the proteins.


In particular examples, differential expression of an ischemic stroke-related molecule is compared to a standard or a control. One example of a control includes the amount of activity of an ischemic stroke-related molecule present or expected in a subject who has not had an ischemic stroke, wherein an increase or decrease in activity in a test sample of an ischemic stroke-related molecule (such as those listed in Tables 2-5) compared to the control indicates that the test agent alters the activity of at least one ischemic stroke-related molecule. Another example of a control includes the amount of activity of an ischemic stroke-related molecule present or expected in a subject who has had an ischemic 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 an ischemic stroke-related molecule (such as those listed in Tables 2-5) compared to the control indicates that the test agent alters the activity of at least one ischemic 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 an ischemic 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 control subjects (subjects who had not previously had a stroke) and subjects who suffered an ischemic stroke within the previous 72 hours.


A cohort of elderly volunteers was obtained and their stroke risk factors recorded, including a history of hypertension, smoking, diabetes mellitus and heart disease. Approximately 30 milliliters of blood was drawn into four yellow top ACD A tubes (ACD Acid Citrate Dextrose A, 22.0 g/L Trisodium Citrate, 8.0 g/L Citric Acid, 24.5 g/L Dextrose, BD Franklin Lakes, N.J.) by aseptic antecubital fossa venipuncture. PBMC isolation was completed within two hours.


Acute stroke patients admitted to the National Institutes of Health Stroke Program at Suburban Hospital in Bethesda, Md. underwent aseptic antebrachial venipuncture followed by withdrawal of 30 ml of blood as described above. Blood samples were drawn within 72 hours of stroke onset. The blood samples were processed for RNA within two hours of collection.


Table 1 lists the demographic features of the patients and controls in the index cohort (n=38) and the patients and controls in the validation (test) cohort (n=19). The two index groups are reasonably comparable in terms of age sex and pre-morbid risk factors consistent with a community based stroke population.









TABLE 1







Demographics of Patients and Controls














Index
Cohort
Test
Cohort


Factor

Patients
Controls
Patients
Controls





Number

19
19
9
10


Age (years)

75.7 ± 15.1
66.0 ± 11.5
79.6 ± 8.1
67.6 ± 16.1


Sex
Female
 7 (37)
13 (68)
4 (44)
6 (60)


Race
Caucasian
18 (95)
13 (68)
8 (89)
7 (70)



African American
1 (5)
 5 (26)
1 (11)
2 (20)



Asian
0 (0)
1 (5)
0 (0) 
1 (10)


Risk Factors
Hypertension
12 (63)
 5 (26)
5 (56)
4 (40)



Diabetes
1 (5)
0 (0)
1 (11)
1 (10)



Smoking
 7 (37)
 7 (37)
5 (56)
2 (20)



Coronary artery disease
 4 (21)
1 (5)
3 (33)
1 (10)



Framingham risk score
16.2 ± 7.4 
9.8 ± 5.6
18.6 ± 2.5
12.2 ± 8.4 


Stroke-Related
NIHSS score*
3.7 ± 5.1

 5.9 ± 6.2



Time to blood draw (hours)
32.4 ± 17.8

 53.3 ± 39.7





Figures are numbers (%) for groups and mean ± SD for continuous factors.


*NIHSS—National Institutes of Health Stroke Scale.






Acute stroke was confirmed by magnetic resonance imaging studies including diffusion weighted imaging (DWI) and perfusion imaging. Stroke risk factors were recorded on each patient and volunteer according to the Framingham risk profile (see Wolf et al., Stroke 22:312-8, 1991). Stroke severity was determined by serial neurological examination and by the National Institutes of Health Stroke Scale (NIHSS) score (see Brott et al., Stroke 20:871-5, 1989).


RNA was isolated from PBMCs as follows. Total RNA (5-15 μg) was extracted from PBMCs separated from whole blood using a Density Gradient tube (Uni-Sep, Novamed, Jerusalem, Israel) as follows: 20-30 ml ACD anti-coagulated blood was diluted with an equal volume of phosphate buffered saline (PBS) and added to the density gradient tube, followed by centrifugation at 1000 g for 30 minutes. After centrifugation, the PBMC layer was removed.


RNA was extracted using RNeasy Mini Kit (Qiagen Cat. #75162, Valencia, Calif.), as per 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 (5000 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 and Statistical Analysis

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. 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 chip and the .CEL files, containing the scanned gene expression information, were the only data files used in all subsequent analyses.


For the data analysis, .CEL files of 19 patients and 19 controls were used following exclusion from analysis of one chip in each of the index patient and control groups due to unsatisfactory hybridization (see Irizarry et al., The Analysis of Gene Expression Data. New York: Springer, 2003). The analysis was completed using the Bioconductor applications of the R programming language and implemented on a 64-bit operating system (SGI Octane 14000 MIPS 600 MHz CPU running Irix 6.5.15) 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 simultaneously on the .CEL dataset (stroke patients, n=19, controls, n=19).


Following normalization, expression levels for each gene were calculated using the perfect match array probes and a robust median polish technique after background correction and log2 transformation (Irizarry et al., The Analysis of Gene Expression Data. New York: Springer, 2003). The resulting expression set was compared in a univariate manner between the stroke patients and control group using parametric testing (t-test). The uncorrected p-value were assigned a cutoff threshold value of significance of <0.05. Subsequent multiple comparison correction was performed using Bonferroni and false discovery techniques (Benjamini and Yekutieli, The Annals of Statistics 29:1165-88, 2001). The effects of various multiple comparison correction techniques are shown in FIG. 1.


The uncorrected significant gene expression set was further analyzed using permutation analysis of Westfall and Young (Resampling-based multiple testing: Examples and methods for p-value adjustment. New York: John Wiley & Sons, 1993). Hierarchical cluster analysis was performed on the gene subset found to be significantly different between stroke patients and controls using the method of Eisen et al. where each gene was pair-wise correlated by calculation of a distance matrix using a Euclidean metric (Proc. Natl. Acad. Sci. 95:14863-8, 1998). The distance matrix then formed the basis for hierarchical clustering. Gene annotation and ontology were determined using the Affymetrix on-line NetAffix suite together with subsequent literature searches, allowing categorization of a gene listing into molecular function, cellular function and biological function.


Using the PAM algorithm (Prediction Analysis for Microarrays) the ability of the index set to separate prospectively obtained samples from ten stroke patients and ten controls was examined (Tibshirani et al., Proc. Natl. Acad. Sci. 90:6567-72, 2002). The arrays of 9 patients and 10 controls were used. In one stroke case, the hybridization was not of sufficient quality to be included.


Without multiple comparison correction, 5060 genes were significantly different in the dataset. The Benjamini and Yekutieli correction resulted in 771 significant gene probes (Table 2), which represent 637 genes. This approach seeks to limit the false discovery rate (the proportion of non-differentiated genes among all those genes declared significantly different) to 5%. As shown in Table 2, several genes were upregulated (positive T-statistic, such as a value that is at least 3.77) or downregulated (negative t-statistic, such as a value that is less than −3.76, such as less than −3.77) following an ischemic stroke. In addition, several genes not previously associated with ischemic stroke, such as CD163; hypothetical protein FLJ22662 Laminin A motif; bone marrow stromal cell antigen 1/CD157; Fc fragment of IgG, high affinity Ia, receptor for (CD64); baculoviral IAP repeat-containing protein 1; and KIAA0146, were identified.









TABLE 2







Ischemic stroke related-genes using Benjamini and Yekutieli correction.













UniGene


Affy ID No.
t-statistic*
Gene Name
ID No.{circumflex over ( )}













218454_at
7.89390463
hypothetical protein FLJ22662
178470


215049_x_at
7.86959913
CD163 antigen
74076


203645_s_at
7.79274287
CD163 antigen
74076


211404_s_at
7.61929825
amyloid beta (A4) precursor-like protein 2
279518


206120_at
7.61303715
CD33 antigen (gp67)
83731


208771_s_at
7.4480951
leukotriene A4 hydrolase
81118


210872_x_at
7.29576739
growth arrest-specific 7
226133


201328_at
7.19607698
v-ets erythroblastosis virus E26 oncogene homolog
292477




2 (avian)


222173_s_at
7.01811369
TBC1 domain family, member 2
371016


211612_s_at
6.71007614
interleukin 13 receptor, alpha 1
285115


211067_s_at
6.66328089
growth arrest-specific 7
226133


211368_s_at
6.65646046
caspase 1, apoptosis-related cysteine protease
2490




(interleukin 1, beta, convertase)


219788_at
6.6357632
paired immunoglobin-like type 2 receptor alpha
122591


202896_s_at
6.63433745
protein tyrosine phosphatase, non-receptor type
156114




substrate 1


221210_s_at
6.63079363
N-acetylneuraminate pyruvate lyase
64896




(dihydrodipicolinate synthase)


204924_at
6.60026287
toll-like receptor 2
439608


206488_s_at
6.54747468
CD36 antigen (collagen type I receptor,
443120




thrombospondin receptor)


208146_s_at
6.53595206
carboxypeptidase, vitellogenic-like
95594


213006_at
6.50588342
KIAA0146 protein
381058


208923_at
6.46904449
cytoplasmic FMR1 interacting protein 1
26704


208702_x_at
6.46198549
amyloid beta (A4) precursor-like protein 2
279518


204452_s_at
6.45273495
frizzled homolog 1 (Drosophila)
94234


205715_at
6.43160146
bone marrow stromal cell antigen 1
169998


216942_s_at
6.42353873
CD58 antigen, (lymphocyte function-associated
75626




antigen 3)


218217_at
6.41930598
likely homolog of rat and mouse retinoid-inducible
431107




serine carboxypeptidase


212192_at
6.41402934
hypothetical protein BC013764
109438


200868_s_at
6.39211608
zinc finger protein 313
144949


202912_at
6.38896329
adrenomedullin
441047


207691_x_at
6.37169995
ectonucleoside triphosphate diphosphohydrolase 1
444105


209124_at
6.322399
myeloid differentiation primary response gene (88)
82116


204620_s_at
6.31071007
chondroitin sulfate proteoglycan 2 (versican)
434488


203535_at
6.29981025
S100 calcium binding protein A9 (calgranulin B)
112405


202878_s_at
6.29001183
complement component 1, q subcomponent,
97199




receptor 1


204249_s_at
6.28630536
LIM domain only 2 (rhombotin-like 1)
283063


208872_s_at
6.26653125
polyposis locus protein 1
173119


205603_s_at
6.25337908
diaphanous homolog 2 (Drosophila)
226483


208818_s_at
6.20310945
catechol-O-methyltransferase
240013


205158_at
6.20094021
ribonuclease, RNase A family, 4
283749


200765_x_at
6.19288966
catenin (cadherin-associated protein), alpha 1,
254321




102 kDa


220615_s_at
6.13260793
hypothetical protein FLJ10462
134497


202897_at
6.1313157
protein tyrosine phosphatase, non-receptor type
156114




substrate 1


204222_s_at
6.12453094
GLI pathogenesis-related 1 (glioma)
511765


201743_at
6.11554977
CD14 antigen
75627


211744_s_at
6.05217577
CD58 antigen, (lymphocyte function-associated
75626




antigen 3)


207168_s_at
6.04197964
H2A histone family, member Y
75258


220034_at
6.04155844
interleukin-1 receptor-associated kinase 3
268552


204099_at
6.02751709
SWI/SNF related, matrix associated, actin
444445




dependent regulator of chromatin, subfamily d,




member 3


212335_at
6.01677891
glucosamine (N-acetyl)-6-sulfatase (Sanfilippo
334534




disease IIID)


211135_x_at
6.01231784
leukocyte immunoglobulin-like receptor, subfamily
511766




B (with TM and ITIM domains), member 3


203127_s_at
5.98628713
serine palmitoyltransferase, long chain base subunit 2
59403


201041_s_at
5.97525939
dual specificity phosphatase 1
171695


209949_at
5.97496326
neutrophil cytosolic factor 2 (65 kDa, chronic
949




granulomatous disease, autosomal 2)


203922_s_at
5.95791758
cytochrome b-245, beta polypeptide (chronic
88974




granulomatous disease)


200838_at
5.95626946
cathepsin B
135226


210844_x_at
5.93419339
catenin (cadherin-associated protein), alpha 1,
254321




102 kDa


200886_s_at
5.905732
phosphoglycerate mutase 1 (brain)
447492


208949_s_at
5.88800393
lectin, galactoside-binding, soluble, 3 (galectin 3)
411701


211284_s_at
5.87237505
granulin
180577


210992_x_at
5.78142217
Fc fragment of IgG, low affinity IIa, receptor for
352642




(CD32)


204860_s_at
5.76755994

Homo sapiens transcribed sequence with strong

508565




similarity to protein sp: Q13075 (H. sapiens)




BIR1_HUMAN Baculoviral IAP repeat-containing




protein 1 (Neuronal apoptosis inhibitory protein)


212788_x_at
5.75081118
ferritin, light polypeptide
433670


211776_s_at
5.7448982
erythrocyte membrane protein band 4.1-like 3
103839


221731_x_at
5.74075036
chondroitin sulfate proteoglycan 2 (versican)
434488


210225_x_at
5.74059556
leukocyte immunoglobulin-like receptor, subfamily
511766




B (with TM and ITIM domains), member 3


218404_at
5.73126746
sorting nexin 10
418132


214511_x_at
5.7139856
Fc fragment of IgG, high affinity Ia, receptor for
77424




(CD64)


200764_s_at
5.67242227
catenin (cadherin-associated protein), alpha 1,
254321




102 kDa


210904_s_at
5.66794891
interleukin 13 receptor, alpha 1
285115


201200_at
5.64946077
cellular repressor of E1A-stimulated genes
5710


209189_at
5.64912247
v-fos FBJ murine osteosarcoma viral oncogene
25647




homolog


202943_s_at
5.6217726
N-acetylgalactosaminidase, alpha-
75372


201329_s_at
5.60980712
v-ets erythroblastosis virus E26 oncogene homolog
292477




2 (avian)


200678_x_at
5.59206951
granulin
180577


200839_s_at
5.59110282
cathepsin B
135226


204053_x_at
5.58890981
phosphatase and tensin homolog (mutated in
253309




multiple advanced cancers 1)


204759_at
5.57510891
chromosome condensation 1-like
27007


217897_at
5.56972714
FXYD domain containing ion transport regulator 6
410748


203973_s_at
5.56911715
KIAA0146 protein
381058


210951_x_at
5.54846557
RAB27A, member RAS oncogene family
298530


216041_x_at
5.5475628
granulin
180577


208454_s_at
5.54191982
plasma glutamate carboxypeptidase
197335


209970_x_at
5.52920792
caspase 1, apoptosis-related cysteine protease
2490




(interleukin 1, beta, convertase)


204646_at
5.50217863
dihydropyrimidine dehydrogenase
1602


202990_at
5.49766192
phosphorylase, glycogen; liver (Hers disease,
282417




glycogen storage disease type VI)


218606_at
5.4924926
zinc finger, DHHC domain containing 7
9725


219316_s_at
5.47793995
chromosome 14 open reading frame 58
267566


207574_s_at
5.47094508
growth arrest and DNA-damage-inducible, beta
110571


212807_s_at
5.46295198
sortilin 1
394609


214875_x_at
5.46291913
amyloid beta (A4) precursor-like protein 2
279518


202446_s_at
5.45795408
phospholipid scramblase 1
348478


210784_x_at
5.416225
leukocyte immunoglobulin-like receptor, subfamily
511766




B (with TM and ITIM domains), member 3


203561_at
5.4154987
Fc fragment of IgG, low affinity IIa, receptor for
352642




(CD32)


210152_at
5.40888799
leukocyte immunoglobulin-like receptor, subfamily
67846




B (with TM and ITIM domains), member 4


210427_x_at
5.374221
annexin A2
462864


212830_at
5.37395389
EGF-like-domain, multiple 5
236216


204169_at
5.36588724
IMP (inosine monophosphate) dehydrogenase 1
317095


209500_x_at
5.34575265
tumor necrosis factor (ligand) superfamily, member
54673




13


201432_at
5.33693741
catalase
395771


215646_s_at
5.33373927
chondroitin sulfate proteoglycan 2 (versican)
434488


201422_at
5.33217618
interferon, gamma-inducible protein 30
14623


204112_s_at
5.33018103
histamine N-methyltransferase
42151


214318_s_at
5.32431367
hypothetical protein CG003
390874


204588_s_at
5.32319243
solute carrier family 7 (cationic amino acid
194693




transporter, y+ system), member 7


211366_x_at
5.32286549
caspase 1, apoptosis-related cysteine protease
2490




(interleukin 1, beta, convertase)


217865_at
5.27748545
ring finger protein 130
155718


211133_x_at
5.26677423
leukocyte immunoglobulin-like receptor, subfamily
511766




B (with TM and ITIM domains), member 3


209091_s_at
5.26607942
SH3-domain GRB2-like endophilin B1
136309


209474_s_at
5.2656896
ectonucleoside triphosphate diphosphohydrolase 1
444105


209514_s_at
5.25717561
RAB27A, member RAS oncogene family
298530


211571_s_at
5.25409403
chondroitin sulfate proteoglycan 2 (versican)
434488


201426_s_at
5.25332759
vimentin
435800


209069_s_at
5.23594128
H3 histone, family 3B (H3.3B)
180877


208130_s_at
5.23289975
thromboxane A synthase 1 (platelet, cytochrome
444510




P450, family 5, subfamily A)


220990_s_at
5.22930546
likely ortholog of rat vacuole membrane protein 1
166254


210314_x_at
5.22262249
tumor necrosis factor (ligand) superfamily, member
54673




13


203140_at
5.21224928
B-cell CLL/lymphoma 6 (zinc finger protein 51)
155024


205147_x_at
5.20456789
neutrophil cytosolic factor 4, 40 kDa
196352


210101_x_at
5.19857938
SH3-domain GRB2-like endophilin B1
136309


205896_at
5.19850838
solute carrier family 22 (organic cation transporter),
441130




member 4


206130_s_at
5.19713599
asialoglycoprotein receptor 2
1259


211367_s_at
5.18249106
caspase 1, apoptosis-related cysteine protease
2490




(interleukin 1, beta, convertase)


217521_at
5.1760536
histidine ammonia-lyase
190783


212501_at
5.16612621
CCAAT/enhancer binding protein (C/EBP), beta
99029


218013_x_at
5.16025276
dynactin 4 (p62)
328865


209188_x_at
5.1523164
down-regulator of transcription 1, TBP-binding
348418




(negative cofactor 2)


202670_at
5.15097523
mitogen-activated protein kinase kinase 1
132311


217492_s_at
5.14879874
phosphatase and tensin homolog (mutated in
493716




multiple advanced cancers 1), pseudogene 1


206600_s_at
5.14522932
solute carrier family 16 (monocarboxylic acid
90911




transporters), member 5


208959_s_at
5.13849248
thioredoxin domain containing 4 (endoplasmic
154023




reticulum)


209073_s_at
5.1251219
numb homolog (Drosophila)
445301


206237_s_at
5.11823604
neuregulin 1
172816


209185_s_at
5.11676697
insulin receptor substrate 2
143648


211702_s_at
5.09810016
ubiquitin specific protease 32
436133


200742_s_at
5.09255723
ceroid-lipofuscinosis, neuronal 2, late infantile
429658




(Jansky-Bielschowsky disease)


214449_s_at
5.08839258
ras homolog gene family, member Q
442989


204834_at
5.07009362
fibrinogen-like 2
351808


204619_s_at
5.06774454
chondroitin sulfate proteoglycan 2 (versican)
434488


208926_at
5.06247837
sialidase 1 (lysosomal sialidase)
118721


201944_at
5.0610548
hexosaminidase B (beta polypeptide)
69293


202727_s_at
5.05203162
interferon gamma receptor 1
180866


211676_s_at
5.0386297
interferon gamma receptor 1
180866


204493_at
5.03178215
BH3 interacting domain death agonist
300825


219015_s_at
5.03010765
uncharacterized hematopoietic stem/progenitor cells
110853




protein MDS031


209397_at
5.03002491
malic enzyme 2, NAD(+)-dependent, mitochondrial
75342


217741_s_at
5.02535951
zinc finger protein 216
406096


201044_x_at
5.01624832
dual specificity phosphatase 1
171695


219694_at
5.013375
hypothetical protein FLJ11127
155085


201127_s_at
5.00643448
ATP citrate lyase
387567


209304_x_at
5.00154395
growth arrest and DNA-damage-inducible, beta
110571


211395_x_at
4.99850312
Fc fragment of IgG, low affinity IIb, receptor for
126384




(CD32)


205786_s_at
4.99689814
integrin, alpha M (complement component receptor
172631




3, alpha; also known as CD11b (p170), macrophage




antigen alpha polypeptide)


212268_at
4.99395229
serine (or cysteine) proteinase inhibitor, clade B
381167




(ovalbumin), member 1


202787_s_at
4.99061446
mitogen-activated protein kinase-activated protein
234521




kinase 3


203888_at
4.98963325
thrombomodulin
2030


221841_s_at
4.98297365
Kruppel-like factor 4 (gut)
376206


201888_s_at
4.97738085
interleukin 13 receptor, alpha 1
285115


200785_s_at
4.95578962
low density lipoprotein-related protein 1 (alpha-2-
162757




macroglobulin receptor)


203167_at
4.9520306
tissue inhibitor of metalloproteinase 2
6441


201193_at
4.94983228
isocitrate dehydrogenase 1 (NADP+), soluble
11223


208018_s_at
4.94368736
hemopoietic cell kinase
89555


216202_s_at
4.91295079
serine palmitoyltransferase, long chain base subunit 2
59403


212820_at
4.91065301
rabconnectin-3
200828


218092_s_at
4.91053386
HIV-1 Rev binding protein
352962


207654_x_at
4.89959607
down-regulator of transcription 1, TBP-binding
348418




(negative cofactor 2)


203746_s_at
4.89297035
holocytochrome c synthase (cytochrome c heme-
211571




lyase)


207704_s_at
4.89274931
growth arrest-specific 7
226133


222218_s_at
4.89264688
paired immunoglobin-like type 2 receptor alpha
122591


207980_s_at
4.88126247
Cbp/p300-interacting transactivator, with Glu/Asp-
82071




rich carboxy-terminal domain, 2


202917_s_at
4.87438447
S100 calcium binding protein A8 (calgranulin A)
416073


207791_s_at
4.86793585
RAB1A, member RAS oncogene family
227327


222148_s_at
4.85805606
ras homolog gene family, member T1
14202


207275_s_at
4.85293013
fatty-acid-Coenzyme A ligase, long-chain 2
511920


202803_s_at
4.84922223
integrin, beta 2 (antigen CD18 (p95), lymphocyte
375957




function-associated antigen 1; macrophage antigen




1 (mac-1) beta subunit)


211100_x_at
4.84737438
leukocyte immunoglobulin-like receptor, subfamily
149924




B (with TM and ITIM domains), member 1


208817_at
4.84504478
catechol-O-methyltransferase
240013


203767_s_at
4.83050164
steroid sulfatase (microsomal), arylsulfatase C,
79876




isozyme S


212606_at
4.82536301
WD repeat and FYVE domain containing 3
105340


205174_s_at
4.82195934
glutaminyl-peptide cyclotransferase (glutaminyl
79033




cyclase)


204714_s_at
4.81879712
coagulation factor V (proaccelerin, labile factor)
30054


221060_s_at
4.81814747
toll-like receptor 4
174312


211999_at
4.81797645
H3 histone, family 3B (H3.3B)
180877


211102_s_at
4.81093803
leukocyte immunoglobulin-like receptor, subfamily
149924




B (with TM and ITIM domains), member 1


216243_s_at
4.80291726
interleukin 1 receptor antagonist
81134


203126_at
4.79908699
inositol(myo)-1(or 4)-monophosphatase 2
5753


210785_s_at
4.79694283
chromosome 1 open reading frame 38
10649


204232_at
4.78915713
Fc fragment of IgE, high affinity I, receptor for;
433300




gamma polypeptide


200648_s_at
4.78637919
glutamate-ammonia ligase (glutamine synthase)
442669


218627_at
4.77005668
hypothetical protein FLJ11259
416393


209555_s_at
4.76938604
CD36 antigen (collagen type I receptor,
443120




thrombospondin receptor)


206034_at
4.76674446
serine (or cysteine) proteinase inhibitor, clade B
368077




(ovalbumin), member 8


221581_s_at
4.75435645
Williams-Beuren syndrome chromosome region 5
56607


203799_at
4.73734337
type I transmembrane C-type lectin receptor DCL-1
2441


203041_s_at
4.73458725
lysosomal-associated membrane protein 2
232432


209004_s_at
4.73446496
F-box and leucine-rich repeat protein 5
5548


217995_at
4.72584361
sulfide quinone reductase-like (yeast)
435468


220326_s_at
4.72372372
hypothetical protein FLJ10357
22451


207104_x_at
4.72227406
leukocyte immunoglobulin-like receptor, subfamily
149924




B (with TM and ITIM domains), member 1


217889_s_at
4.71506397
cytochrome b reductase 1
31297


215001_s_at
4.71118486
glutamate-ammonia ligase (glutamine synthase)
442669


207761_s_at
4.71005806
DKFZP586A0522 protein
288771


205726_at
4.70850268
diaphanous homolog 2 (Drosophila)
226483


208704_x_at
4.70631847
amyloid beta (A4) precursor-like protein 2
279518


206674_at
4.70459455
fms-related tyrosine kinase 3
385


219582_at
4.70387413
hypothetical protein FLJ21079
16512


207872_s_at
4.70179932
leukocyte immunoglobulin-like receptor, subfamily
149924




B (with TM and ITIM domains), member 1


200782_at
4.69959007
annexin A5
145741


201301_s_at
4.6939926
annexin A4
422986


202895_s_at
4.68690449
protein tyrosine phosphatase, non-receptor type
156114




substrate 1


209835_x_at
4.67551042
CD44 antigen (homing function and Indian blood
306278




group system)


201887_at
4.67403802
interleukin 13 receptor, alpha 1
285115


205329_s_at
4.67285443
sorting nexin 4
267812


205863_at
4.64921037
S100 calcium binding protein A12 (calgranulin C)
19413


202902_s_at
4.64873073
cathepsin S
181301


205640_at
4.64661387
aldehyde dehydrogenase 3 family, member B1
274235


204900_x_at
4.64331607
sin3-associated polypeptide, 30 kDa
512813


208908_s_at
4.63754102
calpastatin
440961


217868_s_at
4.63345426
DORA reverse strand protein 1
279583


203360_s_at
4.62883239
c-myc binding protein
78221


207677_s_at
4.62647264
neutrophil cytosolic factor 4, 40 kDa
196352


206111_at
4.60837517
ribonuclease, RNase A family, 2 (liver, eosinophil-
728




derived neurotoxin)


210153_s_at
4.59360403
malic enzyme 2, NAD(+)-dependent, mitochondrial
75342


222231_s_at
4.58618625
hypothetical protein PRO1855
370927


201537_s_at
4.57925877
dual specificity phosphatase 3 (vaccinia virus
181046




phosphatase VH1-related)


202201_at
4.57781605
biliverdin reductase B (flavin reductase (NADPH))
76289


203591_s_at
4.5770407
colony stimulating factor 3 receptor (granulocyte)
381027


214366_s_at
4.5700119
arachidonate 5-lipoxygenase
89499


217977_at
4.56856597
selenoprotein X, 1
279623


212527_at
4.55396497
DNA segment, Chr 15, Wayne State University 75,
511996




expressed


211286_x_at
4.54820757
colony stimulating factor 2 receptor, alpha, low-
520937




affinity (granulocyte-macrophage)


222303_at
4.54612275
v-ets erythroblastosis virus E26 oncogene homolog
292477




2 (avian)


216652_s_at
4.54389883
down-regulator of transcription 1, TBP-binding
348418




(negative cofactor 2)


210660_at
4.53820668
leukocyte immunoglobulin-like receptor, subfamily
149924




B (with TM and ITIM domains), member 1


202867_s_at
4.53800788
DnaJ (Hsp40) homolog, subfamily B, member 12
7960


218559_s_at
4.53299564
v-maf musculoaponeurotic fibrosarcoma oncogene
169487




homolog B (avian)


216950_s_at
4.53084661
Fc fragment of IgG, high affinity Ia, receptor for
77424




(CD64)


213503_x_at
4.52978946
annexin A2
462864


214084_x_at
4.52713467

Homo sapiens similar to neutrophil cytosolic factor

397369




1 (47 kD, chronic granulomatous disease, autosomal




1) (LOC220830), mRNA


201298_s_at
4.52689504
chromosome 2 open reading frame 6
196437


201940_at
4.52465759
carboxypeptidase D
5057


220266_s_at
4.51798181
Kruppel-like factor 4 (gut)
376206


58780_s_at
4.51518692
hypothetical protein FLJ10357
22451


211791_s_at
4.51444942
potassium voltage-gated channel, shaker-related
440497




subfamily, beta member 2


31826_at
4.51322023
KIAA0674 protein
522351


206643_at
4.51089381
histidine ammonia-lyase
190783


204227_s_at
4.50226383
thymidine kinase 2, mitochondrial
274701


201590_x_at
4.50092732
annexin A2
462864


207674_at
4.49675798
Fc fragment of IgA, receptor for
193122


210569_s_at
4.49584084
sialic acid binding Ig-like lectin 9
245828


200889_s_at
4.49074615
signal sequence receptor, alpha (translocon-
250773




associated protein alpha)


207697_x_at
4.48374293
leukocyte immunoglobulin-like receptor, subfamily
306230




B (with TM and ITIM domains), member 2


212117_at
4.47875698
ras homolog gene family, member Q
442989


213385_at
4.47853745
chimerin (chimaerin) 2
407520


212112_s_at
4.46538788
syntaxin 12
433838


201943_s_at
4.46470107
carboxypeptidase D
5057


210235_s_at
4.45960765
protein tyrosine phosphatase, receptor type, f
128312




polypeptide (PTPRF), interacting protein (liprin),




alpha 1


211336_x_at
4.4529126
leukocyte immunoglobulin-like receptor, subfamily
149924




B (with TM and ITIM domains), member 1


211509_s_at
4.45275311
reticulon 4
436349


202349_at
4.44313773
dystonia 1, torsion (autosomal dominant; torsin A)
19261


212625_at
4.4411393
syntaxin 10
43812


211101_x_at
4.44083795
leukocyte immunoglobulin-like receptor, subfamily
149924




B (with TM and ITIM domains), member 1


217764_s_at
4.43853195
RAB31, member RAS oncogene family
223025


212602_at
4.43444968
WD repeat and FYVE domain containing 3
105340


220088_at
4.42977252
complement component 5 receptor 1 (C5a ligand)
2161


204445_s_at
4.42874496
arachidonate 5-lipoxygenase
89499


202593_s_at
4.4273484
membrane interacting protein of RGS16
512607


201235_s_at
4.42419251
BTG family, member 2
75462


217473_x_at
4.42406639




212271_at
4.42248213
mitogen-activated protein kinase 1
324473


204861_s_at
4.42112414
baculoviral IAP repeat-containing 1
79019


204502_at
4.41495415
SAM domain and HD domain 1
371264


212663_at
4.41324534
KIAA0674 protein
522351


202295_s_at
4.40282943
cathepsin H
114931


207571_x_at
4.40054035
chromosome 1 open reading frame 38
10649


219974_x_at
4.39530706
uncharacterized hypothalamus protein HCDASE
437091


201444_s_at
4.38865234
ATPase, H+ transporting, lysosomal accessory
183434




protein 2


204043_at
4.38432768
transcobalamin II; macrocytic anemia
417948


201963_at
4.37921369
fatty-acid-Coenzyme A ligase, long-chain 2
511920


205071_x_at
4.37300052
X-ray repair complementing defective repair in
150930




Chinese hamster cells 4


205173_x_at
4.36642735
CD58 antigen, (lymphocyte function-associated
75626




antigen 3)


200615_s_at
4.36556565
adaptor-related protein complex 2, beta 1 subunit
370123


211419_s_at
4.36300495
chimerin (chimaerin) 2
407520


205789_at
4.36189551
CD1D antigen, d polypeptide
1799


212124_at
4.35711838
retinoic acid induced 17
438767


202436_s_at
4.35300568
cytochrome P450, family 1, subfamily B,
154654




polypeptide 1


203971_at
4.34868301
solute carrier family 31 (copper transporters),
414471




member 1


219892_at
4.34634755
transmembrane 6 superfamily member 1
151155


208594_x_at
4.34443555
leukocyte immunoglobulin-like receptor, subfamily
511766




B (with TM and ITIM domains), member 3


202877_s_at
4.33642974
complement component 1, q subcomponent,
97199




receptor 1


214501_s_at
4.33619357
H2A histone family, member Y
75258


201425_at
4.33199642
aldehyde dehydrogenase 2 family (mitochondrial)
331141


203066_at
4.32776894
B cell RAG associated protein
523379


202484_s_at
4.32503279
methyl-CpG binding domain protein 2
25674


211296_x_at
4.31941158
ubiquitin C
183704


213590_at
4.31821109
solute carrier family 16 (monocarboxylic acid
90911




transporters), member 5


215990_s_at
4.31739177
B-cell CLL/lymphoma 6 (zinc finger protein 51)
155024


208653_s_at
4.30983843
CD164 antigen, sialomucin
43910


208734_x_at
4.30135956
RAB2, member RAS oncogene family
78305


209005_at
4.29969708
F-box and leucine-rich repeat protein 5
5548


218739_at
4.29917434
abhydrolase domain containing 5
19385


208248_x_at
4.29909709
amyloid beta (A4) precursor-like protein 2
279518


208934_s_at
4.29599303
lectin, galactoside-binding, soluble, 8 (galectin 8)
4082


202820_at
4.28937583
aryl hydrocarbon receptor
170087


210154_at
4.28524889
malic enzyme 2, NAD(+)-dependent, mitochondrial
75342


201311_s_at
4.28104152
SH3 domain binding glutamic acid-rich protein like
14368


210732_s_at
4.27689192
lectin, galactoside-binding, soluble, 8 (galectin 8)
4082


200942_s_at
4.27633661
heat shock factor binding protein 1
250899


201538_s_at
4.27183553
dual specificity phosphatase 3 (vaccinia virus
181046




phosphatase VH1-related)


201179_s_at
4.27082196
guanine nucleotide binding protein (G protein),
73799




alpha inhibiting activity polypeptide 3


205418_at
4.2619161
feline sarcoma oncogene
7636


209297_at
4.25619908
intersectin 1 (SH3 domain protein)
66392


206934_at
4.25371303
signal-regulatory protein beta 1
194784


219889_at
4.24708622
frequently rearranged in advanced T-cell
126057




lymphomas


212657_s_at
4.24239023
interleukin 1 receptor antagonist
81134


209305_s_at
4.24071078
growth arrest and DNA-damage-inducible, beta
110571


201720_s_at
4.23720249
Lysosomal-associated multispanning membrane
436200




protein-5


202100_at
4.23631606
v-ral simian leukemia viral oncogene homolog B
348024




(ras related; GTP binding protein)


210422_x_at
4.23603224
solute carrier family 11 (proton-coupled divalent
135163




metal ion transporters), member 1


203574_at
4.2315199
nuclear factor, interleukin 3 regulated
79334


209616_s_at
4.22891755
carboxylesterase 1 (monocyte/macrophage serine
278997




esterase 1)


203185_at
4.2285949
Ras association (RalGDS/AF-6) domain family 2
80905


212681_at
4.22845394
erythrocyte membrane protein band 4.1-like 3
103839


221675_s_at
4.22714814
choline phosphotransferase 1
225567


209499_x_at
4.22636014
tumor necrosis factor (ligand) superfamily, member
54673




13


204959_at
4.22614064
myeloid cell nuclear differentiation antigen
153837


204277_s_at
4.22513355
thymidine kinase 2, mitochondrial
274701


204393_s_at
4.22305118
acid phosphatase, prostate
388677


216899_s_at
4.22228511
src family associated phosphoprotein 2
410745


205627_at
4.21755984
cytidine deaminase
72924


220001_at
4.21439779
peptidyl arginine deiminase, type IV
397050


211864_s_at
4.21257919
fer-1-like 3, myoferlin (C. elegans)
362731


213241_at
4.21206935
plexin C1
286229


215708_s_at
4.21183314

Homo sapiens transcribed sequence with strong

356530




similarity to protein sp: P49643 (H. sapiens)




PRI2_HUMAN DNA primase large subunit (DNA




primase 58 kDa subunit) (P58)


205568_at
4.2078814
aquaporin 9
104624


201900_s_at
4.20012284
aldo-keto reductase family 1, member A1 (aldehyde
372170




reductase)


216015_s_at
4.19778183
cold autoinflammatory syndrome 1
159483


204908_s_at
4.19238275
B-cell CLL/lymphoma 3
31210


206420_at
4.19184626
immunoglobulin superfamily, member 6
135194


206359_at
4.18559959
suppressor of cytokine signaling 3
436943


216905_s_at
4.18538303
suppression of tumorigenicity 14 (colon carcinoma,
56937




matriptase, epithin)


218439_s_at
4.18516434
PTD002 protein
151458


211816_x_at
4.18499309
Fc fragment of IgA, receptor for
193122


204336_s_at
4.18093971
regulator of G-protein signalling 19
422336


201647_s_at
4.17905107
scavenger receptor class B, member 2
323567


219872_at
4.17884427
hypothetical protein DKFZp434L142
323583


211527_x_at
4.17650619
vascular endothelial growth factor
73793


211749_s_at
4.17531793
vesicle-associated membrane protein 3 (cellubrevin)
66708


219666_at
4.17515543
membrane-spanning 4-domains, subfamily A,
371612




member 6A


221858_at
4.17028941
KIAA0608 protein
100960


208351_s_at
4.16464496
mitogen-activated protein kinase 1
324473


218035_s_at
4.1625156
RNA-binding protein
95549


209276_s_at
4.16115658
glutaredoxin (thioltransferase)
28988


202497_x_at
4.16041756
solute carrier family 2 (facilitated glucose
419240




transporter), member 3


213988_s_at
4.15957906
spermidine/spermine N1-acetyltransferase
28491


202381_at
4.14084013
a disintegrin and metalloproteinase domain 9
2442




(meltrin gamma)


205936_s_at
4.13559524
hexokinase 3 (white cell)
411695


209287_s_at
4.13557674
CDC42 effector protein (Rho GTPase binding) 3
352554


221194_s_at
4.13485757
PTD016 protein
30154


210648_x_at
4.13480197
sorting nexin 3
12102


205237_at
4.1324867
ficolin (collagen/fibrinogen domain containing) 1
440898


204899_s_at
4.12933139
sin3-associated polypeptide, 30 kDa
512813


207085_x_at
4.12207721
colony stimulating factor 2 receptor, alpha, low-
520937




affinity (granulocyte-macrophage)


207266_x_at
4.12058364
RNA binding motif, single stranded interacting
241567




protein 1


221492_s_at
4.12038439
autophagy Apg3p/Aut1p-like
26367


207387_s_at
4.11738071
glycerol kinase
1466


204122_at
4.11663505
TYRO protein tyrosine kinase binding protein
9963


207671_s_at
4.11610597
vitelliform macular dystrophy (Best disease,
167344




bestrophin)


207857_at
4.10927392
leukocyte immunoglobulin-like receptor, subfamily
149924




B (with TM and ITIM domains), member 1


201850_at
4.10860435
capping protein (actin filament), gelsolin-like
82422


202934_at
4.10351746
hexokinase 2
406266


206335_at
4.10242677
galactosamine (N-acetyl)-6-sulfate sulfatase
159479




(Morquio syndrome, mucopolysaccharidosis type




IVA)


221078_s_at
4.09863405
hypothetical protein FLJ10392
292925


201337_s_at
4.09676745
vesicle-associated membrane protein 3 (cellubrevin)
66708


203005_at
4.0932063
lymphotoxin beta receptor (TNFR superfamily,
1116




member 3)


203676_at
4.09251365
glucosamine (N-acetyl)-6-sulfatase (Sanfilippo
334534




disease IIID)


205401_at
4.09190279
alkylglycerone phosphate synthase
407933


218865_at
4.08907346
hypothetical protein FLJ22390
195345


201473_at
4.08893087
jun B proto-oncogene
400124


220000_at
4.08612321
sialic acid binding Ig-like lectin 5
117005


208983_s_at
4.0855044
platelet/endothelial cell adhesion molecule (CD31
78146




antigen)


218424_s_at
4.08296857
dudulin 2
57655


201186_at
4.08234245
low density lipoprotein receptor-related protein
75140




associated protein 1


210959_s_at
4.08090496
steroid-5-alpha-reductase, alpha polypeptide 1 (3-
552




oxo-5 alpha-steroid delta 4-dehydrogenase alpha 1)


213160_at
4.07719887
dedicator of cyto-kinesis 2
17211


201463_s_at
4.07608806
transaldolase 1
438678


200078_s_at
4.07300443
ATPase, H+ transporting, lysosomal 21 kDa, V0
7476




subunit c″


201506_at
4.07150831
transforming growth factor, beta-induced, 68 kDa
421496


217826_s_at
4.07137819
ubiquitin-conjugating enzyme E2, J1 (UBC6
184325




homolog, yeast)


38487_at
4.06946114
stabilin 1
301989


217827_s_at
4.06896229
acid cluster protein 33
242458


201642_at
4.06630731
interferon gamma receptor 2 (interferon gamma
409200




transducer 1)


211997_x_at
4.06180968
H3 histone, family 3B (H3.3B)
180877


211540_s_at
4.06076677
retinoblastoma 1 (including osteosarcoma)
408528


221036_s_at
4.05925589
anterior pharynx defective 1B-like
42954


208097_s_at
4.049855
thioredoxin domain containing
125221


201828_x_at
4.04673957
CAAX box 1
250708


217853_at
4.04364724
tensin-like SH2 domain-containing 1
12210


207270_x_at
4.04254236
CMRF35 leukocyte immunoglobulin-like receptor
2605


217159_x_at
4.04053417
sialic acid binding Ig-like lectin 7
274470


209901_x_at
4.03786304
allograft inflammatory factor 1
76364


216236_s_at
4.03358432
solute carrier family 2 (facilitated glucose
401274




transporter), member 14


204961_s_at
4.03301863
neutrophil cytosolic factor 1 (47 kDa, chronic
458275




granulomatous disease, autosomal 1)


202101_s_at
4.03192448
v-ral simian leukemia viral oncogene homolog B
348024




(ras related; GTP binding protein)


208189_s_at
4.03164659
myosin VIIA (Usher syndrome 1B (autosomal
370421




recessive, severe))


201554_x_at
4.03078928
glycogenin
174071


219505_at
4.03062109
cat eye syndrome chromosome region, candidate 1
170310


202445_s_at
4.02993448
Notch homolog 2 (Drosophila)
8121


208071_s_at
4.02784691
leukocyte-associated Ig-like receptor 1
407964


220832_at
4.02284364
toll-like receptor 8
272410


212419_at
4.02284151
hypothetical protein FLJ90798
28264


203857_s_at
4.02278318
for protein disulfide isomerase-related
76901


202122_s_at
4.02240203
cargo selection protein (mannose 6 phosphate
140452




receptor binding protein)


208936_x_at
4.02052401
lectin, galactoside-binding, soluble, 8 (galectin 8)
4082


219806_s_at
4.01642219
FN5 protein
416456


205922_at
4.01615381
vanin 2
293130


209311_at
4.01610957
BCL2-like 2
410026


210340_s_at
4.01506832
colony stimulating factor 2 receptor, alpha, low-
520937




affinity (granulocyte-macrophage)


216346_at
4.01350716
SEC14-like 3 (S. cerevisiae)
434140


202944_at
4.00826135
N-acetylgalactosaminidase, alpha-
75372


206877_at
4.00750632
MAX dimerization protein 1
379930


209473_at
4.00302974
ectonucleoside triphosphate diphosphohydrolase 1
444105


208785_s_at
3.99946577

Homo sapiens transcribed sequence with strong

419777




similarity to protein ref: NP_073729.1 (H. sapiens)




microtubule-associated proteins 1A/1B light chain 3




[Homo sapiens]


202108_at
3.99887308
peptidase D
444207


201926_s_at
3.99380381
decay accelerating factor for complement (CD55,
408864




Cromer blood group system)


201413_at
3.990689
hydroxysteroid (17-beta) dehydrogenase 4
356894


210190_at
3.99016278
syntaxin 11
118958


215842_s_at
3.98910601
ATPase, Class VI, type 11A
29189


204361_s_at
3.98317434
src family associated phosphoprotein 2
410745


202826_at
3.97921395
serine protease inhibitor, Kunitz type 1
233950


200798_x_at
3.97812485
myeloid cell leukemia sequence 1 (BCL2-related)
86386


203471_s_at
3.97445343
pleckstrin
77436


213532_at
3.97420929
hypothetical protein LOC285148
509314


206710_s_at
3.97151204
erythrocyte membrane protein band 4.1-like 3
103839


221879_at
3.97046064
ceroid-lipofuscinosis, neuronal 6, late infantile,
43654




variant


204446_s_at
3.97025459
arachidonate 5-lipoxygenase
89499


200677_at
3.96789671
pituitary tumor-transforming 1 interacting protein
369026


201118_at
3.96505944
phosphogluconate dehydrogenase
392837


205868_s_at
3.96375543
protein tyrosine phosphatase, non-receptor type 11
83572




(Noonan syndrome 1)


212252_at
3.96319972
calcium/calmodulin-dependent protein kinase
297343




kinase 2, beta


203887_s_at
3.96298525
thrombomodulin
2030


202192_s_at
3.96240466
growth arrest-specific 7
226133


201096_s_at
3.95648407
ADP-ribosylation factor 4
435639


219911_s_at
3.94841313
solute carrier family 21 (organic anion transporter),
235782




member 12


200796_s_at
3.94807209
myeloid cell leukemia sequence 1 (BCL2-related)
86386


219890_at
3.94731168
C-type (calcium dependent, carbohydrate-
126355




recognition domain) lectin, superfamily member 5


208724_s_at
3.94528806
RAB1A, member RAS oncogene family
227327


212374_at
3.94463692
fem-1 homolog b (C. elegans)
362733


219104_at
3.94384785
ring finger protein 141
44685


203748_x_at
3.94217815
RNA binding motif, single stranded interacting
241567




protein 1


210773_s_at
3.94043935
formyl peptide receptor-like 1
99855


219607_s_at
3.93984379
membrane-spanning 4-domains, subfamily A,
325960




member 4


206348_s_at
3.9380531
pyruvate dehydrogenase kinase, isoenzyme 3
193124


215856_at
3.93781449
hypothetical protein LOC284266
287692


200737_at
3.93283779
phosphoglycerate kinase 1
78771


218831_s_at
3.93205147
Fc fragment of IgG, receptor, transporter, alpha
111903


202437_s_at
3.92627151
cytochrome P450, family 1, subfamily B,
154654




polypeptide 1


201942_s_at
3.92566977
carboxypeptidase D
5057


219859_at
3.92247489
C-type (calcium dependent, carbohydrate-
236516




recognition domain) lectin, superfamily member 9


212054_x_at
3.91644887
KIAA0676 protein
155829


208540_x_at
3.91561327

506947


213119_at
3.91488544
solute carrier family 36 (proton/amino acid
409314




symporter), member 1


205119_s_at
3.91440214
formyl peptide receptor 1
753


201576_s_at
3.91382693
galactosidase, beta 1
445183


212014_x_at
3.9085234
CD44 antigen (homing function and Indian blood
306278




group system)


210156_s_at
3.90785487
protein-L-isoaspartate (D-aspartate) O-
79137




methyltransferase


205540_s_at
3.90407281
Ras-related GTP binding B
50282


212598_at
3.90198488
WD repeat and FYVE domain containing 3
105340


221724_s_at
3.89891636
C-type (calcium dependent, carbohydrate-
115515




recognition domain) lectin, superfamily member 6


208952_s_at
3.89761036
KIAA0217 protein
192881


200738_s_at
3.89752042
phosphoglycerate kinase 1
78771


206380_s_at
3.89281079
properdin P factor, complement
53155


211287_x_at
3.89139509
colony stimulating factor 2 receptor, alpha, low-
520937




affinity (granulocyte-macrophage)


210953_at
3.89109344
KIAA0669 gene product
52526


201798_s_at
3.88996697
fer-1-like 3, myoferlin (C. elegans)
362731


208885_at
3.88981825
lymphocyte cytosolic protein 1 (L-plastin)
381099


202671_s_at
3.88812247
pyridoxal (pyridoxine, vitamin B6) kinase
284491


202433_at
3.88667317
solute carrier family 35, member B1
154073


220775_s_at
3.88608806
ubiquitin-conjugating enzyme E2-like
407991


202030_at
3.88474448
branched chain alpha-ketoacid dehydrogenase
20644




kinase


205639_at
3.88308443
acyloxyacyl hydrolase (neutrophil)
82542


202096_s_at
3.88275079
benzodiazapine receptor (peripheral)
202


202241_at
3.87918071
phosphoprotein regulated by mitogenic pathways
444947


200958_s_at
3.8722837
syndecan binding protein (syntenin)
164067


211689_s_at
3.87053754
transmembrane protease, serine 2
439309


207157_s_at
3.86989748
guanine nucleotide binding protein (G protein),
436765




gamma 5


210186_s_at
3.86911308
FK506 binding protein 1A, 12 kDa
374638


200987_x_at
3.86682174
proteasome (prosome, macropain) activator subunit
152978




3 (PA28 gamma; Ki)


208853_s_at
3.8665582
calnexin
155560


212026_s_at
3.86220136
likely ortholog of mouse exocyst component protein
511946




70 kDa homolog (S. cerevisiae) Exo70: exocyst




component protein 70 kDa homolog (S. cerevisiae)


201898_s_at
3.861804
ubiquitin-conjugating enzyme E2A (RAD6
379466




homolog)


209615_s_at
3.85852692
p21/Cdc42/Rac1-activated kinase 1 (STE20
64056




homolog, yeast)


208488_s_at
3.85497758
complement component (3b/4b) receptor 1,
334019




including Knops blood group system


203853_s_at
3.85414745
GRB2-associated binding protein 2
30687


209131_s_at
3.85261742
synaptosomal-associated protein, 23 kDa
202308


204150_at
3.85178342
stabilin 1
301989


212188_at
3.85075667
hypothetical protein BC013764
109438


211087_x_at
3.85069595
mitogen-activated protein kinase 14
79107


205920_at
3.8477849
solute carrier family 6 (neurotransmitter transporter,
1194




taurine), member 6


219079_at
3.84686335
NADPH cytochrome B5 oxidoreductase
5741


201619_at
3.84148866
peroxiredoxin 3
397062


214438_at
3.84078431
H2.0-like homeo box 1 (Drosophila)
74870


211507_s_at
3.83656731
myotubularin related protein 3
412833


217835_x_at
3.83446552
chromosome 20 open reading frame 24
184062


217825_s_at
3.82162344
ubiquitin-conjugating enzyme E2, J1 (UBC6
184325




homolog, yeast)


205681_at
3.81769723
BCL2-related protein A1
227817


200827_at
3.81766405
procollagen-lysine, 2-oxoglutarate 5-dioxygenase
75093




(lysine hydroxylase, Ehlers-Danlos syndrome type




VI)


211797_s_at
3.8151505
nuclear transcription factor Y, gamma
285133


204194_at
3.81135547
BTB and CNC homology 1, basic leucine zipper
154276




transcription factor 1


201078_at
3.81097664
transmembrane 9 superfamily member 2
298272


206343_s_at
3.81055509
neuregulin 1
172816


218091_at
3.80590961
HIV-1 Rev binding protein
352962


205468_s_at
3.80336547
interferon regulatory factor 5
334450


200929_at
3.79657368
transmembrane trafficking protein
74137


206881_s_at
3.79242916
leukocyte immunoglobulin-like receptor, subfamily
113277




A (without TM domain), member 3


209404_s_at
3.79062874
CGI-109 protein
278391


207549_x_at
3.79036164
membrane cofactor protein (CD46, trophoblast-
83532




lymphocyte cross-reactive antigen)


219646_at
3.78787522
hypothetical protein FLJ20186
62771


219991_at
3.78398642
solute carrier family 2 (facilitated glucose
95497




transporter), member 9


211922_s_at
3.78374234
catalase
395771


210275_s_at
3.78115446
zinc finger protein 216
406096


216883_x_at
3.77914282
phosphodiesterase 6D, cGMP-specific, rod, delta
48291


202833_s_at
3.77713205
serine (or cysteine) proteinase inhibitor, clade A
297681




(alpha-1 antiproteinase, antitrypsin), member 1


217124_at
3.77620277
KIAA1023 protein
446063


209062_x_at
3.77508965
nuclear receptor coactivator 3
382168


208310_s_at
3.77468002
follistatin-like 1
433622


212041_at
3.77461664
ATPase, H+ transporting, lysosomal 38 kDa, V0
106876




subunit d isoform 1


214500_at
3.77290459
H2A histone family, member Y
75258


217746_s_at
3.77075614
programmed cell death 6 interacting protein
9663


218754_at
−3.7702453
hypothetical protein FLJ23323
59425


214749_s_at
−3.7716173
hypothetical protein FLJ20811
83530


203094_at
−3.7722118
MAD2L1 binding protein
122346


221230_s_at
−3.7758096
retinoblastoma binding protein 1-like 1
17428


212912_at
−3.7760375
ribosomal protein S6 kinase, 90 kDa, polypeptide 2
301664


205004_at
−3.7765763
NF-kappa B-repressing factor
437084


205775_at
−3.7769304
DNA segment on chromosome 6(unique) 2654
140944




expressed sequence


219007_at
−3.7819237
nucleoporin 43 kDa
53263


206082_at
−3.7826255
HLA complex P5
511759


214022_s_at
−3.7838188
interferon induced transmembrane protein 1 (9-27)
458414


210243_s_at
−3.7882423
UDP-Gal: betaGlcNAc beta 1,4-
321231




galactosyltransferase, polypeptide 3


204228_at
−3.7929943
peptidyl prolyl isomerase H (cyclophilin H)
9880


204411_at
−3.793944
KIAA0449 protein
511940


213388_at
−3.7946632

Homo sapiens mRNA; cDNA DKFZp586I1823

448231




(from clone DKFZp586I1823)


205963_s_at
−3.7953901
DnaJ (Hsp40) homolog, subfamily A, member 3
6216


221535_at
−3.8112387
hypothetical protein FLJ11301
436471


209302_at
−3.811649
polymerase (RNA) II (DNA directed) polypeptide H
432574


221867_at
−3.8131693
hypothetical protein FLJ31821
511839


213028_at
−3.8138531

Homo sapiens cDNA FLJ44314 fis, clone

419777




TRACH2025932


209870_s_at
−3.8147819
amyloid beta (A4) precursor protein-binding, family
26468




A, member 2 (X11-like)


210847_x_at
−3.8164631
tumor necrosis factor receptor superfamily, member
299558




25


218955_at
−3.8194881
BRF2, subunit of RNA polymerase III transcription
274136




initiation factor, BRF1-like


64418_at
−3.8220874
AP1 gamma subunit binding protein 1
404215


36888_at
−3.8320679
KIAA0841 protein
7426


219971_at
−3.8331453
interleukin 21 receptor
210546


221963_x_at
−3.836647

Homo sapiens transcribed sequence with strong






similarity to protein pir: TSHUP1 (H. sapiens)




TSHUP1 thrombospondin 1 precursor - human


200045_at
−3.8367612
ATP-binding cassette, sub-family F (GCN20),
9573




member 1


221135_s_at
−3.8379739
HT001 protein
254124


221940_at
−3.8380758
C18B11 homolog (44.9 kD)
173311


203386_at
−3.8411936
TBC1 domain family, member 4
173802


212660_at
−3.8431641
PHD finger protein 15
397990


206240_s_at
−3.8440853
zinc finger protein 136 (clone pHZ-20)
479874


204461_x_at
−3.8452
RAD1 homolog (S. pombe)
7179


49329_at
−3.8471735
hypothetical protein FLJ14360
351563


201763_s_at
−3.8485837
death-associated protein 6
336916


218601_at
−3.8507869
up-regulated gene 4
5131


216309_x_at
−3.8522271
jerky homolog (mouse)
142296


213742_at
−3.8525732
splicing factor, arginine/serine-rich 11
443458


205255_x_at
−3.8532902
transcription factor 7 (T-cell specific, HMG-box)
169294


219123_at
−3.8535773
zinc finger protein 232
279914


39248_at
−3.8602222
aquaporin 3
234642


214351_x_at
−3.8603602
ribosomal protein L13
410817


213360_s_at
−3.8667261
similar to Nuclear envelope pore membrane protein
450237




POM 121 (Pore membrane protein of 121 kDa)




(P145)


210031_at
−3.8668203
CD3Z antigen, zeta polypeptide (TiT3 complex)
97087


204484_at
−3.8676808
phosphoinositide-3-kinase, class 2, beta polypeptide
343329


217798_at
−3.8703856
CCR4-NOT transcription complex, subunit 2
165725


200957_s_at
−3.8715464
structure specific recognition protein 1
79162


206188_at
−3.8905582
KIAA0628 gene product
43133


221518_s_at
−3.8970401
ubiquitin specific protease 47
441028


221978_at
−3.8977136
major histocompatibility complex, class I, F
411958


218500_at
−3.9056647
mesenchymal stem cell protein DSCD75
25237


219765_at
−3.9104452
hypothetical protein FLJ12586
458377


207339_s_at
−3.9120005
lymphotoxin beta (TNF superfamily, member 3)
376208


218496_at
−3.9220606
ribonuclease H1
511960


204891_s_at
−3.9250376
lymphocyte-specific protein tyrosine kinase
1765


203611_at
−3.9251415
telomeric repeat binding factor 2
63335


213689_x_at
−3.9253484
ribosomal protein L5
469653


38398_at
−3.9258197
MAP-kinase activating death domain
82548


46256_at
−3.9261723
SPRY domain-containing SOCS box protein SSB-3
7247


214692_s_at
−3.9264268
jerky homolog (mouse)
142296


40446_at
−3.9318725
PHD finger protein 1
166204


217802_s_at
−3.9322297
nuclear ubiquitous casein kinase and cyclin-
510265




dependent kinase substrate


218573_at
−3.9379843
APR-1 protein
279819


221277_s_at
−3.9418985
hypothetical protein FKSG32
98682


204182_s_at
−3.9459862
zinc finger protein 297B
355581


212653_s_at
−3.94854
KIAA0903 protein
16218


201717_at
−3.9504943
mitochondrial ribosomal protein L49
75859


218700_s_at
−3.9516027
RAB7, member RAS oncogene family-like 1
115325


217950_at
−3.9535594
nitric oxide synthase interacting protein
7236


208758_at
−3.9548631
5-aminoimidazole-4-carboxamide ribonucleotide
90280




formyltransferase/IMP cyclohydrolase


202617_s_at
−3.9570199
methyl CpG binding protein 2 (Rett syndrome)
3239


212935_at
−3.9602659
MCF.2 cell line derived transforming sequence-like
436905


222077_s_at
−3.9734422
Rac GTPase activating protein 1
23900


221087_s_at
−3.9735482
apolipoprotein L, 3
241535


202330_s_at
−3.9749735
uracil-DNA glycosylase
78853


206545_at
−3.9833463
CD28 antigen (Tp44)
1987


218414_s_at
−3.9863793
nudE nuclear distribution gene E homolog 1 (A. nidulans)
263925


209440_at
−3.9905647
phosphoribosyl pyrophosphate synthetase 1
56


219966_x_at
−3.9987967
BTG3 associated nuclear protein
448828


215359_x_at
−4.0024233
zinc finger protein 44 (KOX 7)
501604


215012_at
−4.0067262
zinc finger protein 451
188662


205192_at
−4.0075631
mitogen-activated protein kinase kinase kinase 14
440315


206118_at
−4.0108593
signal transducer and activator of transcription 4
80642


213574_s_at
−4.011904
karyopherin (importin) beta 1
439683


200644_at
−4.015547
MARCKS-like protein
75061


218274_s_at
−4.0156737
hypothetical protein FLJ10415
437647


212037_at
−4.0191262
pinin, desmosome associated protein
409965


203723_at
−4.0201929
inositol 1,4,5-trisphosphate 3-kinase B
78877


202970_at
−4.03346
dual-specificity tyrosine-(Y)-phosphorylation
173135




regulated kinase 2


219169_s_at
−4.0376252
transcription factor B1, mitochondrial
279908


202562_s_at
−4.0376994
chromosome 14 open reading frame 1
15106


213648_at
−4.0401386
KIAA0116 protein
254717


205442_at
−4.0500447
KIAA0626 gene product
178121


219658_at
−4.0522935
hypothetical protein FLJ12598
126906


217627_at
−4.0526775
hypothetical protein FLJ30921
290703


202968_s_at
−4.0534127
dual-specificity tyrosine-(Y)-phosphorylation
173135




regulated kinase 2


204008_at
−4.0615836
dynein, axonemal, light polypeptide 4
258203


203450_at
−4.065337
chromosome 22 open reading frame 2
334911


219812_at
−4.0673436
stromal antigen 3
323634


219109_at
−4.0689872
PF20
6783


213473_at
−4.0764661
ankyrin repeat domain 13
122764


40016_g_at
−4.0768183
KIAA0303 protein
212787


203556_at
−4.079399
transcription factor ZHX2
30209


209798_at
−4.0837583
nuclear protein, ataxia-telangiectasia locus
89385


219635_at
−4.0865204
hypothetical protein FLJ14260
287629


212589_at
−4.0884147
related RAS viral (r-ras) oncogene homolog 2
206097


204327_s_at
−4.0891305
zinc finger protein 202
112556


216262_s_at
−4.0902501
TGFB-induced factor 2 (TALE family homeobox)
94785


222348_at
−4.0911661
KIAA0303 protein
212787


220035_at
−4.101629
nucleoporin 210
292119


213039_at
−4.1044199
Rho-specific guanine nucleotide exchange factor
6150




p114


208858_s_at
−4.1054066
likely ortholog of mouse membrane bound C2
8309




domain containing protein


218805_at
−4.1065589
immune associated nucleotide 4 like 1 (mouse)
412331


209558_s_at
−4.108666
huntingtin interacting protein-1-related
96731


207394_at
−4.1102265
zinc finger protein 137 (clone pHZ-30)
373648


220418_at
−4.1185695
ubiquitin associated and SH3 domain containing, A
183924


219155_at
−4.1208338
phosphatidylinositol transfer protein, cytoplasmic 1
405933


222266_at
−4.121441
chromosome 19 open reading frame 2
7943


214739_at
−4.1236762
hypothetical protein MGC4126
334483


219006_at
−4.1353669
chromosome 6 open reading frame 66
512144


209657_s_at
−4.14338
heat shock transcription factor 2
158195


64064_at
−4.1445869
immune associated nucleotide 4 like 1 (mouse)
412331


205964_at
−4.147438
zinc finger protein 426
324978


204635_at
−4.1496187
ribosomal protein S6 kinase, 90 kDa, polypeptide 5
109058


212320_at
−4.151357
beta 5-tubulin
356729


208094_s_at
−4.1580744
hypothetical protein MGC10471
24998


48117_at
−4.1689003
hypothetical protein BC011981
110407


218492_s_at
−4.1719389
THAP domain containing 7
512756


219045_at
−4.1781811
ras homolog gene family, member F (in filopodia)
512618


217152_at
−4.1800035
nuclear receptor co-repressor 1
144904


203159_at
−4.1901598
glutaminase
128410


219700_at
−4.1962225
plexin domain containing 1
125036


213958_at
−4.2016236
CD6 antigen
436949


210763_x_at
−4.2056306
natural cytotoxicity triggering receptor 3
509513


209586_s_at
−4.2061369
TcD37 homolog
78524


202931_x_at
−4.2107515
bridging integrator 1
193163


202741_at
−4.2145218
protein kinase, cAMP-dependent, catalytic, beta
156324


218259_at
−4.2150435
myocardin-related transcription factor B
151076


202724_s_at
−4.2194658
forkhead box O1A (rhabdomyosarcoma)
170133


217912_at
−4.2238457
PP3111 protein
351484


220969_s_at
−4.2271761




220367_s_at
−4.2316067
mSin3A-associated protein 130
133523


219315_s_at
−4.2333807
hypothetical protein FLJ20898
25549


218510_x_at
−4.237976
hypothetical protein FLJ20152
82273


216983_s_at
−4.2380619
zinc finger protein 224
279855


218735_s_at
−4.2447866
zinc finger protein
438994


213179_at
−4.2560283
RCD1 required for cell differentiation1 homolog (S. pombe)
148767


204020_at
−4.2566815
purine-rich element binding protein A
29117


204630_s_at
−4.2576483
golgi SNAP receptor complex member 1
124436


201853_s_at
−4.2599718
cell division cycle 25B
153752


214771_x_at
−4.2674176
Rho interacting protein 3
430725


213539_at
−4.281273
CD3D antigen, delta polypeptide (TiT3 complex)
95327


202693_s_at
−4.2866716
serine/threonine kinase 17a (apoptosis-inducing)
9075


200953_s_at
−4.2970373
cyclin D2
376071


205590_at
−4.3097591
RAS guanyl releasing protein 1 (calcium and DAG-
189527




regulated)


213193_x_at
−4.3143922

Homo sapiens T cell receptor beta chain BV20S1

487862




BJ1-5 BC1 mRNA, complete cds


210915_x_at
−4.342139

Homo sapiens T cell receptor beta chain BV20S1

349283




BJ1-5 BC1 mRNA, complete cds


220176_at
−4.3595778
chromosome 14 open reading frame 127
288981


38340_at
−4.3617132
huntingtin interacting protein-1-related
96731


209246_at
−4.3621957
ATP-binding cassette, sub-family F (GCN20),
438823




member 2


204633_s_at
−4.3717038
ribosomal protein S6 kinase, 90 kDa, polypeptide 5
109058


202250_s_at
−4.3738264
H326
120904


210538_s_at
−4.3739708
baculoviral IAP repeat-containing 3
127799


219350_s_at
−4.3780164
second mitochondria-derived activator of caspase
169611


209014_at
−4.3855467
melanoma antigen, family D, 1
5258


204642_at
−4.4025727
endothelial differentiation, sphingolipid G-protein-
154210




coupled receptor, 1


207892_at
−4.4032046
tumor necrosis factor (ligand) superfamily, member
652




5 (hyper-IgM syndrome)


217957_at
−4.4033051
likely ortholog of mouse gene trap locus 3
279818


212333_at
−4.4079871
DKFZP564F0522 protein
23060


202178_at
−4.4303479
protein kinase C, zeta
407181


210279_at
−4.431287
G protein-coupled receptor 18
88269


202726_at
−4.4373616
ligase I, DNA, ATP-dependent
1770


214298_x_at
−4.4417332
septin 6


207426_s_at
−4.4487533
tumor necrosis factor (ligand) superfamily, member
181097




4 (tax-transcriptionally activated glycoprotein 1,




34 kDa)


212126_at
−4.4504669
Homo sapiens, clone IMAGE: 5288883, mRNA
149466


206150_at
−4.4509904
tumor necrosis factor receptor superfamily, member 7
355307


209282_at
−4.4662679
protein kinase D2
205431


212313_at
−4.4669031
hypothetical protein MGC29816
5019


205379_at
−4.4687636
carbonyl reductase 3
154510


217961_at
−4.4688902
hypothetical protein FLJ20551
7994


219843_at
−4.4747042
intracisternal A particle-promoted polypeptide
157180


219826_at
−4.4750415
hypothetical protein FLJ23233
98593


209682_at
−4.4805853
Cas-Br-M (murine) ecotropic retroviral
436986




transforming sequence b


221790_s_at
−4.4853949
LDL receptor adaptor protein
184482


203408_s_at
−4.4896587
special AT-rich sequence binding protein 1 (binds
416026




to nuclear matrix/scaffold-associating DNA's)


210389_x_at
−4.4925237
likely ortholog of mouse tubulin, delta 1
270847


221601_s_at
−4.5045431
regulator of Fas-induced apoptosis
58831


202478_at
−4.5256195
tribbles homolog 2
155418


214439_x_at
−4.5286267
bridging integrator 1
193163


36545_s_at
−4.5486784
KIAA0542 gene product
62209


211596_s_at
−4.571525
leucine-rich repeats and immunoglobulin-like
166697




domains 1


213587_s_at
−4.5921811
chromosome 7 open reading frame 32
351612


203717_at
−4.6064222
dipeptidylpeptidase 4 (CD26, adenosine deaminase
44926




complexing protein 2)


203648_at
−4.6075718
KIAA0218 gene product
75863


218723_s_at
−4.6189582
RGC32 protein
76640


201528_at
−4.6259618
replication protein A1, 70 kDa
84318


202107_s_at
−4.6331766
MCM2 minichromosome maintenance deficient 2,
57101




mitotin (S. cerevisiae)


32259_at
−4.665109
enhancer of zeste homolog 1 (Drosophila)
194669


221211_s_at
−4.6673208
chromosome 21 open reading frame 7
41267


201313_at
−4.6724774
enolase 2, (gamma, neuronal)
511915


221234_s_at
−4.6843954
BTB and CNC homology 1, basic leucine zipper
88414




transcription factor 2


46665_at
−4.6856302
sema domain, immunoglobulin domain (Ig),
7188




transmembrane domain (TM) and short cytoplasmic




domain, (semaphorin) 4C


219590_x_at
−4.6895774
CGI-30 protein
406051


203965_at
−4.6942774
ubiquitin specific protease 20
5452


205042_at
−4.7104355
UDP-N-acetylglucosamine-2-epimerase/N-
5920




acetylmannosamine kinase


205233_s_at
−4.7127287
platelet-activating factor acetylhydrolase 2, 40 kDa
477083


209881_s_at
−4.723093
linker for activation of T cells
498997


210201_x_at
−4.7310315
bridging integrator 1
193163


208795_s_at
−4.7315545
MCM7 minichromosome maintenance deficient 7
438720




(S. cerevisiae)


206829_x_at
−4.7446912
zinc finger protein 430
309348


215785_s_at
−4.7595567
cytoplasmic FMR1 interacting protein 2
211201


206337_at
−4.7716012
chemokine (C-C motif) receptor 7
1652


214177_s_at
−4.7755992
pre-B-cell leukemia transcription factor interacting
505806




protein 1


204828_at
−4.7856359
RAD9 homolog A (S. pombe)
240457


205013_s_at
−4.8029535
adenosine A2a receptor
197029


203564_at
−4.8064489
Fanconi anemia, complementation group G
434873


202481_at
−4.811268
short-chain dehydrogenase/reductase 1
17144


205310_at
−4.8291386
hypothetical protein 20D7-FC4
128702


215235_at
−4.830164
spectrin, alpha, non-erythrocytic 1 (alpha-fodrin)
387905


203956_at
−4.8519414
KIAA0852 protein
143840


214833_at
−4.8566377
KIAA0792 gene product
119387


204957_at
−4.8590232
origin recognition complex, subunit 5-like (yeast)
153138


212414_s_at
−4.8647531
septin 6
90998


213164_at
−4.8698375
mitochondrial ribosomal protein S6
268016


211005_at
−4.9017443
linker for activation of T cells
498997


209670_at
−4.9218273
T cell receptor alpha locus
74647


57082_at
−4.9228846
LDL receptor adaptor protein
184482


203846_at
−4.9250454
tripartite motif-containing 32
236218


200965_s_at
−5.0317556
actin binding LIM protein 1
442540


214808_at
−5.0730906

Homo sapiens cDNA FLJ11958 fis, clone

519791




HEMBB1000996.


35147_at
−5.0896447
MCF.2 cell line derived transforming sequence-like
436905


206039_at
−5.1020197
RAB33A, member RAS oncogene family
56294


201677_at
−5.1309712
DC12 protein
458320


221011_s_at
−5.1441771
likely ortholog of mouse limb-bud and heart gene
57209


203062_s_at
−5.1456619
mediator of DNA damage checkpoint 1
433653


207231_at
−5.167881
zinc finger DAZ interacting protein 3
409210


207734_at
−5.2935692
hypothetical protein FLJ20340
272794


202423_at
−5.3252148
MYST histone acetyltransferase (monocytic
93231




leukemia) 3


201930_at
−5.3290801
MCM6 minichromosome maintenance deficient 6
444118




(MIS5 homolog, S. pombe) (S. cerevisiae)


213620_s_at
−5.4358397
intercellular adhesion molecule 2
433303


38269_at
−5.5792458
protein kinase D2
205431


209603_at
−5.9506916
GATA binding protein 3
169946


219798_s_at
−5.9710113
hypothetical protein FLJ20257
178011


210038_at
−6.1736133
protein kinase C, theta
408049





*Positive t-statistic indicates that the gene is upregulated following an ischemic stroke. Negative t-statistic indicates that the gene is downregulated following an ischemic stroke.


{circumflex over ( )}UniGene ID number is system for automatically partitioning GenBank sequences into a non-redundant set of gene-oriented clusters. Each UniGene cluster contains sequences that represent a unique gene, as well as related information such as the tissue types in which the gene has been expressed and map location. UniGene numbers can be searched on the NCBI website.






Following Bonferroni correction, 231 gene probes, corresponding to 190 genes, were found to be significant (Table 3). Clear separation of the stroke and control gene expression levels were observed. As shown in Table 3, several genes were upregulated (positive T-statistic, such as a value that is at least 4.73) or downregulated (negative t-statistic, such as a value that is less than −4.73) following an ischemic stroke.









TABLE 3







Ischemic stroke related-genes using Bonferroni correction.













UniGene ID


Affy ID No.
t-statistic*
Gene Name
No.{circumflex over ( )}













218454_at
7.8939046
hypothetical protein FLJ22662
178470


215049_x_at
7.8695991
CD163 antigen
74076


203645_s_at
7.7927429
CD163 antigen
74076


211404_s_at
7.6192982
amyloid beta (A4) precursor-like protein 2
279518


206120_at
7.6130371
CD33 antigen (gp67)
83731


208771_s_at
7.4480951
leukotriene A4 hydrolase
81118


210872_x_at
7.2957674
growth arrest-specific 7
226133


201328_at
7.196077
v-ets erythroblastosis virus E26 oncogene homolog
292477




2 (avian)


222173_s_at
7.0181137
TBC1 domain family, member 2
371016


211612_s_at
6.7100761
interleukin 13 receptor, alpha 1
285115


211067_s_at
6.6632809
growth arrest-specific 7
226133


211368_s_at
6.6564605
caspase 1, apoptosis-related cysteine protease
2490




(interleukin 1, beta, convertase)


219788_at
6.6357632
paired immunoglobin-like type 2 receptor alpha
122591


202896_s_at
6.6343375
protein tyrosine phosphatase, non-receptor type
156114




substrate 1


221210_s_at
6.6307936
N-acetylneuraminate pyruvate lyase
64896




(dihydrodipicolinate synthase)


204924_at
6.6002629
toll-like receptor 2
439608


206488_s_at
6.5474747
CD36 antigen (collagen type I receptor,
443120




thrombospondin receptor)


208146_s_at
6.5359521
carboxypeptidase, vitellogenic-like
95594


213006_at
6.5058834
KIAA0146 protein
381058


208923_at
6.4690445
cytoplasmic FMR1 interacting protein 1
26704


208702_x_at
6.4619855
amyloid beta (A4) precursor-like protein 2
279518


204452_s_at
6.452735
frizzled homolog 1 (Drosophila)
94234


205715_at
6.4316015
bone marrow stromal cell antigen 1
169998


216942_s_at
6.4235387
CD58 antigen, (lymphocyte function-associated
75626




antigen 3)


218217_at
6.419306
likely homolog of rat and mouse retinoid-inducible
431107




serine carboxypeptidase


212192_at
6.4140293
hypothetical protein BC013764
109438


200868_s_at
6.3921161
zinc finger protein 313
144949


202912_at
6.3889633
adrenomedullin
441047


207691_x_at
6.3716999
ectonucleoside triphosphate diphosphohydrolase 1
444105


209124_at
6.322399
myeloid differentiation primary response gene (88)
82116


204620_s_at
6.3107101
chondroitin sulfate proteoglycan 2 (versican)
434488


203535_at
6.2998102
S100 calcium binding protein A9 (calgranulin B)
112405


202878_s_at
6.2900118
complement component 1, q subcomponent,
97199




receptor 1


204249_s_at
6.2863054
LIM domain only 2 (rhombotin-like 1)
283063


208872_s_at
6.2665313
polyposis locus protein 1
173119


205603_s_at
6.2533791
diaphanous homolog 2 (Drosophila)
226483


208818_s_at
6.2031095
catechol-O-methyltransferase
240013


205158_at
6.2009402
ribonuclease, RNase A family, 4
283749


200765_x_at
6.1928897
catenin (cadherin-associated protein), alpha 1,
254321




102 kDa


220615_s_at
6.1326079
hypothetical protein FLJ10462
134497


202897_at
6.1313157
protein tyrosine phosphatase, non-receptor type
156114




substrate 1


204222_s_at
6.1245309
GLI pathogenesis-related 1 (glioma)
511765


201743_at
6.1155498
CD14 antigen
75627


211744_s_at
6.0521758
CD58 antigen, (lymphocyte function-associated
75626




antigen 3)


207168_s_at
6.0419796
H2A histone family, member Y
75258


220034_at
6.0415584
interleukin-1 receptor-associated kinase 3
268552


204099_at
6.0275171
SWI/SNF related, matrix associated, actin
444445




dependent regulator of chromatin, subfamily d,




member 3


212335_at
6.0167789
glucosamine (N-acetyl)-6-sulfatase (Sanfilippo
334534




disease IIID)


211135_x_at
6.0123178
leukocyte immunoglobulin-like receptor, subfamily
511766




B (with TM and ITIM domains), member 3


203127_s_at
5.9862871
serine palmitoyltransferase, long chain base subunit 2
59403


201041_s_at
5.9752594
dual specificity phosphatase 1
171695


209949_at
5.9749633
neutrophil cytosolic factor 2 (65 kDa, chronic
949




granulomatous disease, autosomal 2)


203922_s_at
5.9579176
cytochrome b-245, beta polypeptide (chronic
88974




granulomatous disease)


200838_at
5.9562695
cathepsin B
135226


210844_x_at
5.9341934
catenin (cadherin-associated protein), alpha 1,
254321




102 kDa


200886_s_at
5.905732
phosphoglycerate mutase 1 (brain)
447492


208949_s_at
5.8880039
lectin, galactoside-binding, soluble, 3 (galectin 3)
411701


211284_s_at
5.8723751
granulin
180577


210992_x_at
5.7814222
Fc fragment of IgG, low affinity IIa, receptor for
352642




(CD32)


204860_s_at
5.7675599

Homo sapiens transcribed sequence with strong

508565




similarity to protein sp: Q13075 (H. sapiens)




BIR1_HUMAN Baculoviral LAP repeat-containing




protein 1 (Neuronal apoptosis inhibitory protein)


212788_x_at
5.7508112
ferritin, light polypeptide
433670


211776_s_at
5.7448982
erythrocyte membrane protein band 4.1-like 3
103839


221731_x_at
5.7407504
chondroitin sulfate proteoglycan 2 (versican)
434488


210225_x_at
5.7405956
leukocyte immunoglobulin-like receptor, subfamily
511766




B (with TM and ITIM domains), member 3


218404_at
5.7312675
sorting nexin 10
418132


214511_x_at
5.7139856
Fc fragment of IgG, high affinity Ia, receptor for
77424




(CD64)


200764_s_at
5.6724223
catenin (cadherin-associated protein), alpha 1,
254321




102 kDa


210904_s_at
5.6679489
interleukin 13 receptor, alpha 1
285115


201200_at
5.6494608
cellular repressor of E1A-stimulated genes
5710


209189_at
5.6491225
v-fos FBJ murine osteosarcoma viral oncogene
25647




homolog


202943_s_at
5.6217726
N-acetylgalactosaminidase, alpha-
75372


201329_s_at
5.6098071
v-ets erythroblastosis virus E26 oncogene homolog
292477




2 (avian)


200678_x_at
5.5920695
granulin
180577


200839_s_at
5.5911028
cathepsin B
135226


204053_x_at
5.5889098
phosphatase and tensin homolog (mutated in
253309




multiple advanced cancers 1)


204759_at
5.5751089
chromosome condensation 1-like
27007


217897_at
5.5697271
FXYD domain containing ion transport regulator 6
410748


203973_s_at
5.5691171
KIAA0146 protein
381058


210951_x_at
5.5484656
RAB27A, member RAS oncogene family
298530


216041_x_at
5.5475628
granulin
180577


208454_s_at
5.5419198
plasma glutamate carboxypeptidase
197335


209970_x_at
5.5292079
caspase 1, apoptosis-related cysteine protease
2490




(interleukin 1, beta, convertase)


204646_at
5.5021786
dihydropyrimidine dehydrogenase
1602


202990_at
5.4976619
phosphorylase, glycogen; liver (Hers disease,
282417




glycogen storage disease type VI)


218606_at
5.4924926
zinc finger, DHHC domain containing 7
9725


219316_s_at
5.47794
chromosome 14 open reading frame 58
267566


207574_s_at
5.4709451
growth arrest and DNA-damage-inducible, beta
110571


212807_s_at
5.462952
sortilin 1
394609


214875_x_at
5.4629191
amyloid beta (A4) precursor-like protein 2
279518


202446_s_at
5.4579541
phospholipid scramblase 1
348478


210784_x_at
5.416225
leukocyte immunoglobulin-like receptor, subfamily
511766




B (with TM and ITIM domains), member 3


203561_at
5.4154987
Fc fragment of IgG, low affinity IIa, receptor for
352642




(CD32)


210152_at
5.408888
leukocyte immunoglobulin-like receptor, subfamily
67846




B (with TM and ITIM domains), member 4


210427_x_at
5.374221
annexin A2
462864


212830_at
5.3739539
EGF-like-domain, multiple 5
236216


204169_at
5.3658872
IMP (inosine monophosphate) dehydrogenase 1
317095


209500_x_at
5.3457527
tumor necrosis factor (ligand) superfamily, member
54673




13


201432_at
5.3369374
catalase
395771


215646_s_at
5.3337393
chondroitin sulfate proteoglycan 2 (versican)
434488


201422_at
5.3321762
interferon, gamma-inducible protein 30
14623


204112_s_at
5.330181
histamine N-methyltransferase
42151


214318_s_at
5.3243137
hypothetical protein CG003
390874


204588_s_at
5.3231924
solute carrier family 7 (cationic amino acid
194693




transporter, y+ system), member 7


211366_x_at
5.3228655
caspase 1, apoptosis-related cysteine protease
2490




(interleukin 1, beta, convertase)


217865_at
5.2774855
ring finger protein 130
155718


211133_x_at
5.2667742
leukocyte immunoglobulin-like receptor, subfamily
511766




B (with TM and ITIM domains), member 3


209091_s_at
5.2660794
SH3-domain GRB2-like endophilin B1
136309


209474_s_at
5.2656896
ectonucleoside triphosphate diphosphohydrolase 1
444105


209514_s_at
5.2571756
RAB27A, member RAS oncogene family
298530


211571_s_at
5.254094
chondroitin sulfate proteoglycan 2 (versican)
434488


201426_s_at
5.2533276
vimentin
435800


209069_s_at
5.2359413
H3 histone, family 3B (H3.3B)
180877


208130_s_at
5.2328997
thromboxane A synthase 1 (platelet, cytochrome
444510




P450, family 5, subfamily A)


220990_s_at
5.2293055
likely ortholog of rat vacuole membrane protein 1
166254


210314_x_at
5.2226225
tumor necrosis factor (ligand) superfamily, member
54673




13


203140_at
5.2122493
B-cell CLL/lymphoma 6 (zinc finger protein 51)
155024


205147_x_at
5.2045679
neutrophil cytosolic factor 4, 40 kDa
196352


210101_x_at
5.1985794
SH3-domain GRB2-like endophilin B1
136309


205896_at
5.1985084
solute carrier family 22 (organic cation transporter),
441130




member 4


206130_s_at
5.197136
asialoglycoprotein receptor 2
1259


211367_s_at
5.1824911
caspase 1, apoptosis-related cysteine protease
2490




(interleukin 1, beta, convertase)


217521_at
5.1760536
histidine ammonia-lyase
190783


212501_at
5.1661262
CCAAT/enhancer binding protein (C/EBP), beta
99029


218013_x_at
5.1602528
dynactin 4 (p62)
328865


209188_x_at
5.1523164
down-regulator of transcription 1, TBP-binding
348418




(negative cofactor 2)


202670_at
5.1509752
mitogen-activated protein kinase kinase 1
132311


217492_s_at
5.1487987
phosphatase and tensin homolog (mutated in
493716




multiple advanced cancers 1), pseudogene 1


206600_s_at
5.1452293
solute carrier family 16 (monocarboxylic acid
90911




transporters), member 5


208959_s_at
5.1384925
thioredoxin domain containing 4 (endoplasmic
154023




reticulum)


209073_s_at
5.1251219
numb homolog (Drosophila)
445301


206237_s_at
5.118236
neuregulin 1
172816


209185_s_at
5.116767
insulin receptor substrate 2
143648


211702_s_at
5.0981002
ubiquitin specific protease 32
436133


200742_s_at
5.0925572
ceroid-lipofuscinosis, neuronal 2, late infantile
429658




(Jansky-Bielschowsky disease)


214449_s_at
5.0883926
ras homolog gene family, member Q
442989


204834_at
5.0700936
fibrinogen-like 2
351808


204619_s_at
5.0677445
chondroitin sulfate proteoglycan 2 (versican)
434488


208926_at
5.0624784
sialidase 1 (lysosomal sialidase)
118721


201944_at
5.0610548
hexosaminidase B (beta polypeptide)
69293


202727_s_at
5.0520316
interferon gamma receptor 1
180866


211676_s_at
5.0386297
interferon gamma receptor 1
180866


204493_at
5.0317822
BH3 interacting domain death agonist
300825


219015_s_at
5.0301077
uncharacterized hematopoietic stem/progenitor cells
110853




protein MDS031


209397_at
5.0300249
malic enzyme 2, NAD(+)-dependent, mitochondrial
75342


217741_s_at
5.0253595
zinc finger protein 216
406096


201044_x_at
5.0162483
dual specificity phosphatase 1
171695


219694_at
5.013375
hypothetical protein FLJ11127
155085


201127_s_at
5.0064345
ATP citrate lyase
387567


209304_x_at
5.001544
growth arrest and DNA-damage-inducible, beta
110571


211395_x_at
4.9985031
Fc fragment of IgG, low affinity IIb, receptor for
126384




(CD32)


205786_s_at
4.9968981
integrin, alpha M (complement component receptor
172631




3, alpha; also known as CD11b (p170), macrophage




antigen alpha polypeptide)


212268_at
4.9939523
serine (or cysteine) proteinase inhibitor, clade B
381167




(ovalbumin), member 1


202787_s_at
4.9906145
mitogen-activated protein kinase-activated protein
234521




kinase 3


203888_at
4.9896332
thrombomodulin
2030


221841_s_at
4.9829736
Kruppel-like factor 4 (gut)
376206


201888_s_at
4.9773809
interleukin 13 receptor, alpha 1
285115


200785_s_at
4.9557896
low density lipoprotein-related protein 1 (alpha-2-
162757




macroglobulin receptor)


203167_at
4.9520306
tissue inhibitor of metalloproteinase 2
6441


201193_at
4.9498323
isocitrate dehydrogenase 1 (NADP+), soluble
11223


208018_s_at
4.9436874
hemopoietic cell kinase
89555


216202_s_at
4.9129508
serine palmitoyltransferase, long chain base subunit 2
59403


212820_at
4.910653
rabconnectin-3
200828


218092_s_at
4.9105339
HIV-1 Rev binding protein
352962


207654_x_at
4.8995961
down-regulator of transcription 1, TBP-binding
348418




(negative cofactor 2)


203746_s_at
4.8929704
holocytochrome c synthase (cytochrome c heme-
211571




lyase)


207704_s_at
4.8927493
growth arrest-specific 7
226133


222218_s_at
4.8926469
paired immunoglobin-like type 2 receptor alpha
122591


207980_s_at
4.8812625
Cbp/p300-interacting transactivator, with Glu/Asprich
82071




carboxy-terminal domain, 2


202917_s_at
4.8743845
S100 calcium binding protein A8 (calgranulin A)
416073


207791_s_at
4.8679359
RAB1A, member RAS oncogene family
227327


222148_s_at
4.8580561
ras homolog gene family, member T1
14202


207275_s_at
4.8529301
fatty-acid-Coenzyme A ligase, long-chain 2
511920


202803_s_at
4.8492222
integrin, beta 2 (antigen CD18 (p95), lymphocyte
375957




function-associated antigen 1; macrophage antigen




1 (mac-1) beta subunit)


211100_x_at
4.8473744
leukocyte immunoglobulin-like receptor, subfamily
149924




B (with TM and ITIM domains), member 1


208817_at
4.8450448
catechol-O-methyltransferase
240013


203767_s_at
4.8305016
steroid sulfatase (microsomal), arylsulfatase C,
79876




isozyme S


212606_at
4.825363
WD repeat and FYVE domain containing 3
105340


205174_s_at
4.8219593
glutaminyl-peptide cyclotransferase (glutaminyl
79033




cyclase)


204714_s_at
4.8187971
coagulation factor V (proaccelerin, labile factor)
30054


221060_s_at
4.8181475
toll-like receptor 4
174312


211999_at
4.8179764
H3 histone, family 3B (H3.3B)
180877


211102_s_at
4.810938
leukocyte immunoglobulin-like receptor, subfamily
149924




B (with TM and ITIM domains), member 1


216243_s_at
4.8029173
interleukin 1 receptor antagonist
81134


203126_at
4.799087
inositol(myo)-1(or 4)-monophosphatase 2
5753


210785_s_at
4.7969428
chromosome 1 open reading frame 38
10649


204232_at
4.7891571
Fc fragment of IgE, high affinity I, receptor for;
433300




gamma polypeptide


200648_s_at
4.7863792
glutamate-ammonia ligase (glutamine synthase)
442669


218627_at
4.7700567
hypothetical protein FLJ11259
416393


209555_s_at
4.769386
CD36 antigen (collagen type I receptor,
443120




thrombospondin receptor)


206034_at
4.7667445
serine (or cysteine) proteinase inhibitor, clade B
368077




(ovalbumin), member 8


221581_s_at
4.7543565
Williams-Beuren syndrome chromosome region 5
56607


203799_at
4.7373434
type I transmembrane C-type lectin receptor DCL-1
2441


203041_s_at
4.7345873
lysosomal-associated membrane protein 2
232432


209004_s_at
4.734465
F-box and leucine-rich repeat protein 5
5548


210201_x_at
−4.731032
bridging integrator 1
193163


208795_s_at
−4.731554
MCM7 minichromosome maintenance deficient 7
438720




(S. cerevisiae)


206829_x_at
−4.744691
zinc finger protein 430
309348


215785_s_at
−4.759557
cytoplasmic FMR1 interacting protein 2
211201


206337_at
−4.771601
chemokine (C-C motif) receptor 7
1652


214177_s_at
−4.775599
pre-B-cell leukemia transcription factor interacting
505806




protein 1


204828_at
−4.785636
RAD9 homolog A (S. pombe)
240457


205013_s_at
−4.802954
adenosine A2a receptor
197029


203564_at
−4.806449
Fanconi anemia, complementation group G
434873


202481_at
−4.811268
short-chain dehydrogenase/reductase 1
17144


205310_at
−4.829139
hypothetical protein 20D7-FC4
128702


215235_at
−4.830164
spectrin, alpha, non-erythrocytic 1 (alpha-fodrin)
387905


203956_at
−4.851941
KIAA0852 protein
143840


214833_at
−4.856638
KIAA0792 gene product
119387


204957_at
−4.859023
origin recognition complex, subunit 5-like (yeast)
153138


212414_s_at
−4.864753
septin 6
90998


213164_at
−4.869838
mitochondrial ribosomal protein S6
268016


211005_at
−4.901744
linker for activation of T cells
498997


209670_at
−4.921827
T cell receptor alpha locus
74647


57082_at
−4.922885
LDL receptor adaptor protein
184482


203846_at
−4.925045
tripartite motif-containing 32
236218


200965_s_at
−5.031756
actin binding LIM protein 1
442540


214808_at
−5.073091

Homo sapiens cDNA FLJ11958 fis, clone

397369




HEMBB1000996.


35147_at
−5.089645
MCF.2 cell line derived transforming sequence-like
436905


206039_at
−5.10202
RAB33A, member RAS oncogene family
56294


201677_at
−5.130971
DC12 protein
458320


221011_s_at
−5.144177
likely ortholog of mouse limb-bud and heart gene
57209


203062_s_at
−5.145662
mediator of DNA damage checkpoint 1
433653


207231_at
−5.167881
zinc finger DAZ interacting protein 3
409210


207734_at
−5.293569
hypothetical protein FLJ20340
272794


202423_at
−5.325215
MYST histone acetyltransferase (monocytic
93231




leukemia) 3


201930_at
−5.32908
MCM6 minichromosome maintenance deficient 6
444118




(MIS5 homolog, S. pombe) (S. cerevisiae)


213620_s_at
−5.43584
intercellular adhesion molecule 2
433303


38269_at
−5.579246
protein kinase D2
205431


209603_at
−5.950692
GATA binding protein 3
169946


219798_s_at
−5.971011
hypothetical protein FLJ20257
178011


210038_at
−6.173613
protein kinase C, theta
408049





*Positive t-statistic indicates that the gene is upregulated following an ischemic stroke. Negative t-statistic indicates that the gene is downregulated following an ischemic stroke.


{circumflex over ( )}UniGene ID number is system for automatically partitioning GenBank sequences into a non-redundant set of gene-oriented clusters. Each UniGene cluster contains sequences that represent a unique gene, as well as related information such as the tissue types in which the gene has been expressed and map location. UniGene numbers can be searched on the NCBI website.






After multiple comparison correction (MCC) using the Westfall and Young permutation approach, 91 gene probes, corresponding to 82 genes were found to be significantly different (Table 4). As shown in Table 4, 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 −5.4) following an ischemic stroke.









TABLE 4







Ischemic stroke related-genes using Westfall and Young correction.













UniGene ID


Affy ID #
t-statistic*
Gene Name
No.{circumflex over ( )}













218454_at
7.893904631
hypothetical protein FLJ22662
178470


215049_x_at
7.869599129
CD163 antigen
74076


203645_s_at
7.792742866
CD163 antigen
74076


211404_s_at
7.61929825
amyloid beta (A4) precursor-like protein 2
279518


206120_at
7.613037145
CD33 antigen (gp67)
83731


208771_s_at
7.448095101
leukotriene A4 hydrolase
81118


210872_x_at
7.295767389
growth arrest-specific 7
226133


201328_at
7.196076979
v-ets erythroblastosis virus E26 oncogene
292477




homolog 2 (avian)


222173_s_at
7.01811369
TBC1 domain family, member 2
371016


211612_s_at
6.710076137
interleukin 13 receptor, alpha 1
285115


211067_s_at
6.663280893
growth arrest-specific 7
226133


211368_s_at
6.656460461
caspase 1, apoptosis-related cysteine protease
2490




(interleukin 1, beta, convertase)


219788_at
6.635763202
paired immunoglobin-like type 2 receptor
122591




alpha


202896_s_at
6.634337453
protein tyrosine phosphatase, non-receptor
156114




type substrate 1


221210_s_at
6.630793631
N-acetylneuraminate pyruvate lyase
64896




(dihydrodipicolinate synthase)


204924_at
6.60026287
toll-like receptor 2
439608


206488_s_at
6.547474681
CD36 antigen (collagen type I receptor,
443120




thrombospondin receptor)


208146_s_at
6.535952056
carboxypeptidase, vitellogenic-like
95594


213006_at
6.505883417
KIAA0146 protein
381058


208923_at
6.469044495
cytoplasmic FMR1 interacting protein 1
26704


208702_x_at
6.461985493
amyloid beta (A4) precursor-like protein 2
279518


204452_s_at
6.452734953
frizzled homolog 1 (Drosophila)
94234


205715_at
6.431601459
bone marrow stromal cell antigen 1
169998


216942_s_at
6.423538729
CD58 antigen, (lymphocyte function-
75626




associated antigen 3)


218217_at
6.419305978
likely homolog of rat and mouse retinoid-
431107




inducible serine carboxypeptidase


212192_at
6.414029336
hypothetical protein BC013764
109438


200868_s_at
6.392116081
zinc finger protein 313
144949


202912_at
6.388963292
adrenomedullin
441047


207691_x_at
6.371699946
ectonucleoside triphosphate
444105




diphosphohydrolase 1


209124_at
6.322399002
myeloid differentiation primary response
82116




gene (88)


204620_s_at
6.310710071
chondroitin sulfate proteoglycan 2 (versican)
434488


203535_at
6.299810247
S100 calcium binding protein A9
112405




(calgranulin B)


202878_s_at
6.290011829
complement component 1, q subcomponent,
97199




receptor 1


204249_s_at
6.286305359
LIM domain only 2 (rhombotin-like 1)
283063


208872_s_at
6.266531252
polyposis locus protein 1
173119


205603_s_at
6.253379078
diaphanous homolog 2 (Drosophila)
226483


208818_s_at
6.203109452
catechol-O-methyltransferase
240013


205158_at
6.200940206
ribonuclease, RNase A family, 4
283749


200765_x_at
6.192889656
catenin (cadherin-associated protein), alpha
254321




1, 102 kDa


220615_s_at
6.13260793
hypothetical protein FLJ10462
134497


202897_at
6.131315699
protein tyrosine phosphatase, non-receptor
156114




type substrate 1


204222_s_at
6.124530943
GLI pathogenesis-related 1 (glioma)
511765


201743_at
6.115549767
CD14 antigen
75627


211744_s_at
6.052175772
CD58 antigen, (lymphocyte function-
75626




associated antigen 3)


207168_s_at
6.04197964
H2A histone family, member Y
75258


220034_at
6.041558439
interleukin-1 receptor-associated kinase 3
268552


204099_at
6.027517093
SWI/SNF related, matrix associated, actin
444445




dependent regulator of chromatin, subfamily




d, member 3


212335_at
6.016778906
glucosamine (N-acetyl)-6-sulfatase
334534




(Sanfilippo disease IIID)


211135_x_at
6.012317836
leukocyte immunoglobulin-like receptor,
511766




subfamily B (with TM and ITIM domains),




member 3


203127_s_at
5.986287131
serine palmitoyltransferase, long chain base
59403




subunit 2


201041_s_at
5.975259394
dual specificity phosphatase 1
171695


209949_at
5.974963258
neutrophil cytosolic factor 2 (65 kDa, chronic
949




granulomatous disease, autosomal 2)


203922_s_at
5.957917579
cytochrome b-245, beta polypeptide (chronic
88974




granulomatous disease)


200838_at
5.956269465
cathepsin B
135226


210844_x_at
5.934193387
catenin (cadherin-associated protein), alpha
254321




1, 102 kDa


200886_s_at
5.905731995
phosphoglycerate mutase 1 (brain)
447492


208949_s_at
5.888003927
lectin, galactoside-binding, soluble, 3
411701




(galectin 3)


211284_s_at
5.872375053
granulin
180577


210992_x_at
5.781422168
Fc fragment of IgG, low affinity IIa, receptor
352642




for (CD32)


204860_s_at
5.767559943

Homo sapiens transcribed sequence with

508565




strong similarity to protein sp: Q13075




(H. sapiens) BIR1_HUMAN Baculoviral IAP




repeat-containing protein 1 (Neuronal




apoptosis inhibitory protein)


212788_x_at
5.750811183
ferritin, light polypeptide
433670


211776_s_at
5.744898203
erythrocyte membrane protein band 4.1-like 3


221731_x_at
5.740750361
chondroitin sulfate proteoglycan 2 (versican)
434488


210225_x_at
5.740595562
leukocyte immunoglobulin-like receptor,
511766




subfamily B (with TM and ITIM domains),




member 3


218404_at
5.731267464
sorting nexin 10
418132


214511_x_at
5.713985599
Fc fragment of IgG, high affinity Ia, receptor
77424




for (CD64)


200764_s_at
5.672422269
catenin (cadherin-associated protein), alpha
254321




1, 102 kDa


210904_s_at
5.667948907
interleukin 13 receptor, alpha 1
285115


201200_at
5.649460774
cellular repressor of E1A-stimulated genes
5710


209189_at
5.649122471
v-fos FBJ murine osteosarcoma viral
25647




oncogene homolog


202943_s_at
5.621772605
N-acetylgalactosaminidase, alpha-
75372


201329_s_at
5.609807116
v-ets erythroblastosis virus E26 oncogene
292477




homolog 2 (avian)


200678_x_at
5.592069508
granulin
180577


200839_s_at
5.591102824
cathepsin B
135226


204053_x_at
5.588909808
phosphatase and tensin homolog (mutated in
253309




multiple advanced cancers 1)


204759_at
5.575108906
chromosome condensation 1-like
27007


217897_at
5.56972714
FXYD domain containing ion transport
410748




regulator 6


203973_s_at
5.569117146
KIAA0146 protein
381058


210951_x_at
5.548465566
RAB27A, member RAS oncogene family
298530


216041_x_at
5.547562803
granulin
180577


208454_s_at
5.541919824
plasma glutamate carboxypeptidase
197335


209970_x_at
5.529207916
caspase 1, apoptosis-related cysteine protease
2490




(interleukin 1, beta, convertase)


204646_at
5.502178632
dihydropyrimidine dehydrogenase
1602


202990_at
5.497661918
phosphorylase, glycogen; liver (Hers disease,
282417




glycogen storage disease type VI)


218606_at
5.492492596
zinc finger, DHHC domain containing 7
9725


219316_s_at
5.477939952
chromosome 14 open reading frame 58
267566


207574_s_at
5.470945076
growth arrest and DNA-damage-inducible,
110571




beta


212807_s_at
5.462951979
sortilin 1
394609


214875_x_at
5.462919125
amyloid beta (A4) precursor-like protein 2
279518


202446_s_at
5.457954078
phospholipid scramblase 1
348478


210784_x_at
5.416225005
leukocyte immunoglobulin-like receptor,
511766




subfamily B (with TM and ITIM domains),




member 3


203561_at
5.415498696
Fc fragment of IgG, low affinity IIa, receptor
352642




for (CD32)


210152_at
5.408887988
leukocyte immunoglobulin-like receptor,
67846




subfamily B (with TM and ITIM domains),




member 4


210427_x_at
5.374221003
annexin A2
462864


212830_at
5.373953889
EGF-like-domain, multiple 5
236216


204169_at
5.36588724
IMP (inosine monophosphate)
317095




dehydrogenase 1


213620_s_at
−5.435839683
intercellular adhesion molecule 2
433303


38269_at
−5.579245846
protein kinase D2
205431


209603_at
−5.950691641
GATA binding protein 3
169946


219798_s_at
−5.971011322
hypothetical protein FLJ20257
178011


210038_at
−6.173613284
protein kinase C, theta
408049





*Positive t-statistic indicates that the gene is upregulated following an ischemic stroke. Negative t-statistic indicates that the gene is downregulated following an ischemic stroke.


{circumflex over ( )}UniGene ID number is system for automatically partitioning GenBank sequences into a non-redundant set of gene-oriented clusters. Each UniGene cluster contains sequences that represent a unique gene, as well as related information such as the tissue types in which the gene has been expressed and map location. UniGene numbers can be searched on the NCBI website.






In contrast to the Benjamini and Yekutieli approach, the Westfall and Young approach limits the probability of making even one false positive declaration at 5%. There was a predominant up-regulation pattern with 77/82 genes up-regulated and 5 down-regulated (Table 4).


After PAM correction, 28 gene probes, corresponding to 22 genes were found to be significantly different (Table 5). As shown in Table 5, several genes were upregulated following an ischemic stroke.









TABLE 5







Ischemic stroke related-genes using PAM correction.








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)









Table 6 provides a summary of the number of ischemic-stroke related genes found using different correction methods.









TABLE 6







Number of genes different between stroke and


control subjects by multiple comparison correction filter.*










Multiple comparison filter
No. of genes














PAM dataset
22



Westfall and Young dataset
82



Bonferroni correction set
231



Benjamini & Yekutieli set
771



Raw p value list
5060







*There were 22,283 gene probes on the microarray. The most conservative multiple comparison correction is the PAM dataset, then the Westfall and Young and Bonferroni dataset followed by the Benjamini & Yekutieli dataset.






Example 4
Classes of Gene Expression Increased Following Ischemic Stroke

This example describes the four classes of genes whose expression was increased following ischemic stroke, based on the results obtained in Example 3.


A number of broad classes of gene expression were found (representative examples are shown in Table 5 above). The first were genes that indicated differentiation of monocytes into macrophages and lymphocyte activation (for example, CD14, toll-like receptor 2 and FcR2a). Concomitantly, a number of genes for cell cycle arrest were up-regulated. Some other up-regulated genes were for cytoskeletal proteins (for example, alpha-catenin and galectin 3) involved in anchoring of white blood cells to tissue.


The second main grouping was related to hypoxia, many being inducible by hypoxia inducible factor-1 (for example, adrenomedullin, FcR2a and CD14). There may be a common promoter region for hypoxia inducible factor-1.


A third class of genes is related to vascular repair. For example, up-regulation of ectonucleoside triphosphate diphosphohydrolase 1 results in decreased platelet interaction and aggregation.


The fourth broad class of genes is related to a specific PBMC response to the altered cerebral microenvironment.


Surprisingly, no specific steroid stress-related genes were identified.


In summary, the gene classes demonstrate both specific and non-specific gene expression in PBMCs during acute ischemic stroke. The finding of genes induced by hypoxic stress, vascular repair genes and neuronal specific genes demonstrates a specific response to ischemic stroke.


Example 5
Predicting Severity and Neurological Recovery of Ischemic Stroke

This example describes methods used to analyze PBMCs isolated from 26 subjects at three time-points following ischemic stroke, to demonstrate that there is a correlation between recovery and alterations in gene expression.


Expression of the 22 genes listed in Table 5 was determined using the methods described in the above examples in a second and independent series of 26 patients studied two years after the initial series. These patients had blood samples drawn at day 1 (within 24 hours of onset of symptoms), day 7-14 and day 90 post stroke (26 subjects had blood draws at day 1, 25 subjects had a blood draw at day 7-14 and 21 subjects had a blood draw at day 90 [some patients were deceased by this time]). At day 1, detecting differential gene expression in the 22 genes accurately classified 81% of subjects (21/26) as having had an ischemic stroke. The 5 subjects classified as control (that is, subjects classified as not having had an ischemic stroke) using the method tended to be younger or to have mild stroke severity scores. These results confirm the diagnostic accuracy of the PAM list (Table 5) for acute stroke diagnosis (shown in Table 9), as this was the second independent series of subjects on which these results have been confirmed.


At days 7-14, detecting differential gene expression in the 22 genes accurately classified 64% of subjects (16/25) as having had an ischemic stroke. At day 90, detecting differential gene expression in the 22 genes accurately classified 62% of subjects (13/21) as having had an ischemic stroke. Without wishing to be bound to a particular theory, it is proposed that the persistent gene changes of ischemic stroke at the day 7-14 and day 90 time points reflects ongoing inflammatory or other processes related to the stroke or a lack of recovery of these processes. Those who remained classified as a stroke at these time points were those with the more severe strokes and worse outcomes (see below).


The recovery of the subjects was compared to their classification determined using the 22 genes listed in Table 5. An excellent recovery was defined as a Barthel score of 100 at three months post stroke (for example see Mahoney et al., Md. State Med. J. 14:61-5, 1965). The Barthel score is a measure of 10 activities of daily living such as getting dressed, walking, going to the toilet. The score ranges from 100 (fully independent) to 0 (totally dependent and incapacitated or deceased).


In terms of excellent stroke recovery, all 9/9 (100%) patients who were classified as a control at their last measurement (whether classified as a stroke or a control at the first time point) had excellent recovery. In contrast only 8/17 (47%) patients who remained classified as a stroke at their last follow-up measurement (at day 7-14 in 3 patients who died and day 90 in the remaining) had excellent stroke recovery (p=0.008). This indicates persistence of the stroke state is related to changes in gene expression.


Therefore, it appears that the reason that some of the subjects were indicated to not have had an ischemic stroke is that they recovered by day 90. Therefore, the disclosed ischemic stroke related molecules, such as those listed in Tables 2-5, for example those listed in Table 5 can be used to be determine the prognosis of a subject who has had an ischemic stroke.


In view of these results, disclosed are methods of stratifying the seriousness of a stroke, and assessing the likely neurological recovery of the subject. For example, stratification or assessing the likely neurological recovery of the subject can be performed as early as one day (or within 24 hours) after the ischemic stroke, 7-14 days after the ischemic stroke, or 90 days after the ischemic stroke. In particular examples, the method includes detecting differential expression in at least four ischemic stroke-related molecules, such as at least the 22 genes (or corresponding proteins) listed in Table 5. Detection of increased expression of at least four ischemic stroke-related molecules, such as at least the 22 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 increased expression of the 22 genes/proteins listed in Table 5). 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 5.3, or at least 6 indicates that expression is increased.


In particular examples, the assay results can predict a Barthel score of at least 45, for example at least 50, 90 or 100, as an indication of neurological recovery.


Example 6
Temporal Relationship of Evaluating a Stroke

This example describes the temporal relationship of the disclosed methods to the stroke or suspected stroke. The assay can be performed following the onset of signs and symptoms associated with ischemic stroke. Particular examples of signs and symptoms associated with ischemic 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, or even within 24 hours of having signs or symptoms associated with ischemic stroke, In another example, a sample is obtained at least 7 days later following the onset of signs and symptoms associated with ischemic stroke, such as within 7-14 days of having signs or symptoms associated with ischemic 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 ischemic event. In other examples it occurs prior to performing any imaging tests are performed to find anatomic evidence of ischemic stroke. Moreover, it is often difficult for imaging modalities (such as CT and MRI) to detect acute ischemic strokes, at least until brain changes (such as edema) have taken place in response to the ischemia. Hence the assay described herein in particular examples is able to detect the ischemic stroke even before definitive brain imaging evidence of the stroke is known.


Since the results of this assay are also highly reliable predictors of the ischemic 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 thrombolytic therapy designed to lyse a neurovascular occlusion such as a thrombus (for example by using tissue plasminogen activator or streptokinase) should be administered to the subject. In certain example, thrombolytic therapy 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 ischemic in nature.


Moreover, the neurological sequelae of an ischemic 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 assay is also able to identify subjects who have had an ischemic 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 an ischemic stroke has occurred. Subjects identified or evaluated in this manner can then be provided with appropriate treatments, such as anti-platelet agents (for example aspirin) that would be appropriate for a subject identified as having had an ischemic stroke but not as appropriate for subject who have had a hemorrhagic stroke. It is helpful to be able to classify subject as having had an ischemic stroke, because the treatments for ischemic stroke are often distinct from the treatments for hemorrhagic 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 ischemic stroke but not hemorrhagic stroke.


Example 7
Quantitative Real Time Polymerase Chain Reaction

This example describes the use of quantitative real time polymerase chain reaction to confirm results obtained using the microarrays.


Quantitative real time polymerase chain reaction of gene expression levels were performed using RNA samples from 10 patients and 9 controls. Nine genes were selected for analysis on the basis of their significantly high expression in the index set. One further gene, not up-regulated in the permutation dataset was selected as a negative control. Primers were obtained from the published literature and ordered from Invitrogen (Carlsbad, Calif.) as listed in Table 7.









TABLE 7







 Primers for real time-PCR










Gene
GenBank ID No
Primer Forward*
Primer reverse*





Adreno-
NM_001124
CGAAAGAAGTGGAATAAGTGGGC
CCGCAGTTCCCTCTTCCC 


medullin

(1)
(2)





CD14
NM_000591
CAAGGTACTGAGCATTGCCCA 
 TGTTCGCAGGAAAAGGCAG 




(3)
(4)





CD36
M24795
GATGCAGCCTCATTTCCACCT 
AGGCCTTGGATGGAAGAACA 




(5)
(6)





Caspase 1
NM_033292
GACCCGAGCTTTGATTGACTCC
TTGATCTGCTGAGAGTCCCAGC 




(7)
(8)





a-Catenin
BC000385
GATGACCGTCGTGAGCGAATT 
TTACGTCCAGCATTGCCCA 




(9)
(10)





FcR2a
NM_021642
GACTGTGCTTTCCGAATGGCT 
TGACCTTGACCAGAGGCTTGTC 




(11)
(12)





FcER1a
NM_002001.
AGATGGCGTGTTAGCAGTCCCT
GCCATTGTGGAACCATTTGG 




(13)
(14)





Cathepsin
NM_147781
CTGGCTGGTTGCCAACTCC 
AAAGAAGCCATTGTCACCCCA 


B

(15)
(16)





TRL2
BC033756.
TCGGCGTTCTCTCAGGTGAC
TGCAACACCAAACACTGGGAG 




(17)
(18)





INFGR1
BC005333
AGAATTTGCTGTATGCCGAGATG
TGATATCCAGTTTAGGTGGTCCAAT




(19)
(20)





*SEQ ID NOS: shown in parenthesis.






Real time PCR was performed with an Opticon 2 (MJ research). Real time PCR results between patients and controls were compared using non-parametric statistics (Mann Whitney U tests).


As shown in Table 8, expression values derived from the microarrays correlated with RT-PCR for 9 up-regulated genes. Using RT-PCR, higher values for 8/9 genes in the up-regulated list were found, with a significant difference in 7/9 genes between 10 patients and 9 controls. A negative control was also included (gene not up-regulated in the permutation dataset) with no significant difference observed between patients who suffered a stroke and controls.









TABLE 8







Correlation of expression data with real time-PCR values













Median
Median





Patients
Controls


Gene Name
Genbank ID
n = 10
n = 9
p














Up-regulated in Westfall






and Young Set


Adrenomedullin
NM_001124
1.295
0.39
0.0015


CD14
NM_000591
2.207
1.094
0.0003


CD36
M24795
2.08
1.23
0.02


Caspase 1
NM_033292
14.24
6.62
0.0041


a-Catenin
BC000385
2.559
1.5487
0.0789


FcR2a
NM_021642
0.58
0.26
0.003


FcER1a
NM_002001
2.655
2.87
0.9048


Cathepsin B
NM_147781
0.9
0.32
0.0041


Toll-like receptor 2
BC033756
0.4939
0.1561
0.0021


Not Up-regulated in


Westfall and Young Set


INFGR1
BC005333
0.985
0.64
0.1128









Using data from 9 patients and 10 controls and the PAM, stroke was prospectively classified with a sensitivity of 78% and a specificity of 80% (Table 9).









TABLE 9







Accuracy of training dataset in the prediction of stroke.*














Positive Predictive
Negative Predictive



Sensitivity
Specificity
Value
Value





No.
7/9
8/10
7/9
8/10


%
78
80
78
80





*An independent cohort of 9 stroke patients and 10 controls was used. Using a nearest shrunken centroid algorithm, stroke was classified with a sensitivity of 78% and a specificity of 80%.






In summary, a distinct genomic profile of acute ischemic stroke in the peripheral blood mononuclear cells was identified. In addition, four broad classes of ischemic stroke related genes were identified that are upregulated following an ischemic stroke: white blood cell activation and differentiation genes, genes associated with hypoxia, vascular repair genes and genes associated with an altered cerebral microenvironment, including neuronal apoptosis inhibitory protein.


Example 8
Array for Evaluating a Stroke

This example describes particular arrays that can be used to evaluate a stroke, for example to diagnose an ischemic stroke.


In one example, the array includes probes (such as an oligonucleotide or antibody) that can recognize at least one gene (or protein) that is upregulated following an ischemic stroke, such as one or more of CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146, or any 1, 2, 3, 4, 5, or 6 of these. For example, the array can include a probe (such as an oligonucleotide or antibody) recognizes CD163. In yet another example, the array includes probes (such as an oligonucleotide or antibody) that can recognize at least one gene (or protein) that is downregulated following an ischemic stroke, such as one or more of intercellular adhesion molecule 2; protein kinase D2; GATA binding protein 3; hypothetical protein FLJ20257; or protein kinase C, theta. In a particular example, the array includes probes (such as an oligonucleotide or antibody) that can recognize at least one gene (or protein) that is upregulated following an ischemic stroke (such as at least one of CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146) and at least one gene (or protein) that is downregulated following an ischemic stroke (such as one or more of intercellular adhesion molecule 2; protein kinase D2; GATA binding protein 3; hypothetical protein FLJ20257; or protein kinase C, theta).


Other examplary probes that can be used are listed in Tables 2-5 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 probes (such as an oligonucleotide or antibody) that recognize any combination of at least four different genes (or proteins) listed in Tables 2-5. In particular examples, the array includes probes recognize all 22 genes (or proteins) listed in Table 5. The accuracy of the PAM list (Table 5) to diagnose ischemic acute stroke has been confirmed in two independent series of subjects. The ability of the PAM list (Table 5) to provide an indication of the severity of the stroke and to determine the likelihood of neurological recovery has also been demonstrated. In some examples, the array includes oligonucleotides, proteins, or antibodies that recognize any combination of at least one gene from each of the four classes listed in Table 5 (such as at least 2 or at least 3 genes from each class).


In another example, the array includes probes (such as an oligonucleotide or antibody) that recognize any combination of at least 150 different genes listed in Table 3 or all 190 genes listed in Table 3. In yet another example, the array includes probes that recognize at least 500 different genes listed in Table 2. In particular examples, the probes recognize all 637 genes listed in Table 2.


Compilation of “loss” and “gain” of hybridization signals will reveal the genetic status of the individual with respect to the ischemic stroke-associated genes listed in Tables 2-5.


Example 9
Quantitative Spectroscopic Methods

This example describes quantitative spectroscopic approaches methods, such as SELDI, that can be used to detect differential protein expression of ischemic stroke related proteins.


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, all herein incorporated by reference). 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 ischemic 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 ischemic 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 recognize ischemic stroke related proteins. 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 10
Nucleic Acid-Based Analysis

The ischemic stroke-related nucleic acid molecules provided herein (such as those disclosed in Tables 2-5) can be used in evaluating a stroke, for example for determining whether a subject has had an ischemic stroke, determining the severity or likely neurological recovery of a subject who has had an ischemic stroke, and determining a treatment regimen for a subject who has had an ischemic stroke. For such procedures, a biological sample of the subject is assayed for an increase or decrease in expression of ischemic stroke-related nucleic acid molecules, such as those listed in Tables 2-5. 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, amniocentesis samples and autopsy material. In a particular example, the sample includes PBMCs (or components thereof, such as nucleic acids or proteins isolated from PBMCs).


The detection in the biological sample of increased or decreased expression in four or more ischemic stroke-related nucleic acid molecules, such any combination of four or more molecules listed in Table 5, 150 or more molecules listed in Table 3, or 500 or more molecules listed in Table 2, 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 class listed in Table 5 (such as at least 2 or at least 3 genes from each class). In some examples, expression is determined for at least CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146.


Increased or decreased expression of an ischemic stroke-related molecule also can be detected by measuring the cellular level of ischemic 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 specific to ischemic stroke-related sequences 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 stringent conditions with an ischemic 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 bind specifically to a nucleic acid molecule represented by the sequences listed in Tables 2-5.


Example 11
Protein-Based Analysis

This example describes methods that can be used to detect changes in expression of ischemic stroke-related proteins. Ischemic stroke-related protein sequences can be used in methods of evaluating a stroke, for example for determining whether a subject has had an ischemic stroke, determining the severity or likely neurological recovery of a subject who has had an ischemic stroke, and determining a treatment regimen for a subject who has had an ischemic 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 ischemic stroke-related proteins, such as any combination of at least four of those listed in Table 5, at least 150 of those listed in Table 3, or at least 500 of those listed in Table 2. In some examples, protein expression is determined for any combination of at least one gene from each of the four classes of genes listed in Table 5 (such as at least 2 or at least 3 genes from each of the four classes of genes listed in Table 5). In some examples, protein expression is determined for at least CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146.


Suitable biological samples include samples containing protein obtained from cells of a subject, such as those present in peripheral blood. A change in the amount of four or more ischemic stroke-related proteins in a subject, such as an increase in four or more ischemic stroke-related proteins listed in Table 5, can indicate that the subject has suffered an ischemic stroke.


The determination of increased or decreased ischemic stroke-related protein levels, in comparison to such expression in a normal subject (such as a subject who has not previously had an ischemic stroke), is an alternative or supplemental approach to the direct determination of the expression level of ischemic stroke-related nucleic acid sequences by the methods outlined above. The availability of antibodies specific to ischemic stroke-related protein(s) will facilitate the detection and quantitation of ischemic 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 ischemic stroke-related protein levels. A comparison to wild-type (normal) ischemic stroke-related protein levels and an increase or decrease in ischemic stroke-related polypeptide levels (such as an increase in any combination of at least 4 proteins listed in Table 5 or a decrease in any combination of at least 4 proteins listed in Tables 2-4 with a negative t-statistic) is indicative of ischemic stroke. Immunohistochemical techniques can also be utilized for ischemic 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 an ischemic stroke-related protein using the appropriate ischemic 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 ischemic stroke-related proteins, a biological sample of the subject that includes cellular proteins can be used. Quantitation of an ischemic 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 an ischemic stroke. A significant increase in the amount of four or more ischemic stroke-related proteins in the cells of a subject compared to the amount of the same ischemic 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 overexpression of four or more ischemic stroke-related protein(s) can be indicative of an ischemic stroke. Similarly, a significant decrease in the amount of four or more ischemic stroke-related proteins in the cells of a subject compared to the amount of the same ischemic 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 underexpression of four or more ischemic stroke-related protein(s) can be indicative of an ischemic stroke or poor prognosis.


An alternative method of evaluating a stroke is to quantitate the level of four or more ischemia-related proteins in a subject, for instance in the cells of the subject. This diagnostic tool is useful for detecting reduced or increased levels of ischemia-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 ischemia-related proteins can also be examined using well known techniques.


Example 12
Kits

Kits are provided for evaluating a stroke, for example for determining whether a subject has had an ischemic stroke, determining the severity or likely neurological recovery of a subject who has had an ischemic stroke, and determining a treatment regimen for a subject who has had an ischemic stroke (such as kits containing ischemic stroke detection arrays). Kits are also provided that contain the reagents need to detect hybridization complexes formed between oligonucleotides on an array and ischemic 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) an ischemic 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 an ischemia-related nucleic acid sequence.


Kits are provided to determine the level (or relative level) of expression or of any combination of four or more ischemic stroke-related nucleic acids (such as mRNA) or ischemic stroke-related proteins (such as kits containing nucleic acid probes, proteins, antibodies, or other ischemic stroke-related protein specific binding agents) listed in Tables 2-5.


Kits are provided that permit detection of ischemic 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 ischemic stroke-related mRNA. Such kits can include at least four ischemic 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 ischemic stroke-related genomic amplification or deletion. Nucleotide sequences encoding an ischemic stroke-related protein, and fragments thereof, can be supplied in the form of a kit for use in detection of ischemic stroke-related genomic amplification/deletion or diagnosis of an ischemic stroke, progression of an ischemic stroke, or therapy assessment for subjects who have suffered an ischemic stroke. In examples of such a kit, an appropriate amount of one or more oligonucleotide primers specific for an ischemic stroke-related-sequence (such as those listed in Table 1) 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 ischemic 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, N.Y., 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 ischemic stroke-related genomic sequences, such as those listed in Tables 2-5, 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 an array with oligonucleotides (or antibodies) that recognize any combination of at least four ischemic stroke-related sequences, such as any combination of at least four of those listed in Table 5, at least 22 of those listed in Table 5, at least 150 of those listed in Table 3, or at least 500 of those listed in Table 2. In one example, the array includes oligonucleotides (or antibodies) that recognize at least 1, at least 2, at least 3, at least 4, at least 5, or at least 6 of the following: CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146. For example, the array can include oligonucleotides (or antibodies) that recognize at least CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146.


In some examples, the array includes agents (such as oligonucleotides, proteins, or antibodies) that can recognize any combination of at least one gene (or protein) from each class listed in Table 5 (such as at least 2 or at least 3 genes (or proteins) from each class). The array can include other oligonucleotides, for example to serve as negative or positive controls. The oligonucleotides that recognize ischemic stroke-related and control sequences can be on the same array, or on different arrays. Particular arrays are disclosed in Examples 7-9.


Kits are also provided for the detection of ischemic stroke-related protein expression, for instance increased expression of any combination of at least 4 proteins listed in Table 5. Such kits include one or more ischemic 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 ischemic stroke-related protein specific binding agent and control can be contained in separate containers. The kits can also include agents for detecting ischemic 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. Instructions permit the tester to determine whether ischemic 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, etc. can also be included in the kits.


Example 13
Gene Expression Profiles (Fingerprints)

With the disclosure of many ischemic stroke-related molecules (as represented for instance by those listed in Tables 2-5), gene expression profiles that provide information on evaluating a stroke, for example for determining whether a subject has had an ischemic stroke, determining the severity or likely neurological recovery of a subject who has had an ischemic stroke, and determining a treatment regimen for a subject who has had an ischemic stroke, are now enabled.


Ischemic stroke-related expression profiles include the distinct and identifiable pattern of expression (or level) of sets of ischemic 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 2-5.


Another set of molecules that could be used in a profile include any combination of at least four sequences listed in Table 5, each of which is overexpressed following an ischemic stroke. For example, an ischemic stroke-related gene expression profile can include one sequence from each of the following four classes of genes: white blood cell activation and differentiation genes, genes related to hypoxia, genes involved in vascular repair, and genes related to a specific PBMC response to the altered cerebral microenvironment. In another example, the molecules included in the profile include at least CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146, or any one of these.


Yet another example of a set of molecules that could be used in a profile would include any combination of at least 150 of the sequences listed in Table 3, whose expression is upregulated or downregulated following an ischemic stroke. In a particular example, a set of molecules that could be used in a profile would include any combination of at least 500 of the sequences listed in Table 2, whose expression is upregulated or downregulated following an ischemic 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-ischemic stroke tissue (such as normal tissue not subjected to an ischemic challenge or preconditioning) or an ischemic challenged tissue. Each of these profiles includes information on the expression level of at least four or more genes whose expression is altered following an ischemic 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 ischemia-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 polynucleotides (in the case of a nucleic acid-based array) or polypeptides (in the case of a protein-based array) from a sample from a subject. The amount or position of binding of the subject's polynucleotides or polypeptides 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, or known to not have suffered a stroke. Such a method could be used to determine whether a subject had an ischemic stroke or determine the prognosis of a subject who had an ischemic 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 ischemia, for instance.


Example 14
Rapid Screening Assays

Prior to performing any assays to identify agents that alter the activity (such as the expression) of an ischemic stroke-related molecule, rapid screening assays can be used to screen a large number of agents to determine if they bind to an ischemic stroke-related protein.


Rapid screening assays for detecting binding to HIV proteins have been disclosed, for example in U.S. Pat. No. 5,230,998, which is incorporated by reference. Briefly, an ischemic stroke-related protein (such as one or more of those listed in Tables 2-5) is incubated with a first antibody capable of binding to the protein, and incubated with one or more test agents. Excess unbound first antibody is washed and removed, and antibody bound to the ischemic stroke-related protein is detected by adding a second labeled antibody which binds the first antibody. Excess unbound second antibody is then removed, and the amount of detectable label is quantitated. The effect of the binding is then determined in percentages by the formula: (quantity of the label in the absence of the test agent)−(quantity of the label in the presence of the test agent /quantity of the label in the absence of the test agent)×100.


Agents that have a high binding affinity to the ischemic stroke-related protein can then be used in other assays more specifically designed to determine the activity (such as the expression) of an ischemic stroke-related molecule.


Example 15
In vitro Screening Assay

This example describes particular in vitro methods that can be used to screen test agents for their ability to alter the activity of an ischemic stroke-related molecule. However, the disclosure is not limited to these particular methods. One skilled in the art will appreciate that other in vitro assays could be used.


As disclosed in the Examples above, expression of the disclosed ischemic stroke-related molecules (such as those listed in Tables 2-5) is increased or decreased following an ischemic 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 an ischemic stroke, increase expression/activity of a gene that is decreased following an ischemic stroke, or combinations thereof), or further enhance the change in activity (such as further decrease expression/activity of a gene that is decreased following an ischemic stroke, or further increase expression/activity of a gene that is increased following an ischemic 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.


Agents identified via the disclosed assays can be useful, for example, in decreasing one or more symptoms associated with 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 an ischemic 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 an ischemic stroke.


Cells (such as at least 50,000 cells) that provide a model what happens in vivo following an ischemic stroke are cultured under hypoxic conditions, hypoglycemic conditions, or combinations thereof. For example, PBMCs can be cultured at 37° C. in hypoxic conditions of 94% N2, 5% CO2, and 1% O2, for at least 1 hour, such as 4 hours or 24 hours. In another example, PBMCs are cultured at 37° C. in the absence of added glucose for at least 1 hour, such as 4 hours or 24 hours. In yet another example, PBMCs are cultured at 37° C. in at 94% N2, 5% CO2, and 1% 02 in the absence of added glucose for at least 1 hour, such as 4 hours or 24 hours.


Simultaneous to incubation in the hypoxic or hypoglycemic conditions, or at a time later, one or more test agents are incubated with the cells under conditions sufficient for the test agent to have the desired effect on the cell, for example to alter (such as normalize) the activity of a ischemic stroke-related molecule. In one example, the agent is added at least 30 minutes after culturing the cells in the hypoxic or hypoglycemic conditions, such as at least 1 hour, at least 2 hours, at least 6 hours, or at least 24 hours after culturing the cells in the hypoxic or hypoglycemic conditions.


To determine the effect of the test agents on the activity of one or more ischemic stroke-related molecules, RNA can be isolated from the PBMCs and labeled (see Examples 1 and 2). The labeled RNA is 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 ischemic stroke-related genes, such at least 1, at least 2, or at least 3 of those listed in Tables 2-5 (for example using the methods described herein).


Alternatively, to determine the effect of the test agents on the activity of one or more ischemic stroke-related molecules, proteins are isolated from the PBMCs. The isolated proteins can be analyzed to detect differential expression of one or more ischemic stroke-related proteins, such at least 1, at least 2, or at least 3 of those listed in Tables 2-5, such as using the methods described in Example 9


Example 16
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 an ischemic 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 an ischemic stroke).


A mammal is exposed to conditions that induce an ischemic stroke. In a particular example, an ischemic stroke is induced in a mouse by occlusion of the middle cerebral artery (MCA) under anesthesia (for example 1 mL/kg of a mixture of ketamine (75 mg/mL) and xylazine (5 mg/mL)). The mouse is anesthetized and a U-shape incision made between the left ear and left eye. The top and back segments of the temporal muscle are transected, and the skull exposed by retraction of the temporal muscle. A small opening (1 to 2 mm in diameter) is made in the region over the MCA with saline superfusion to prevent heat injury. The meninges can be removed, and the MCA occluded by ligation, for example with 10-0 nylon thread (Ethylon). Occlusion of the MCA can be persistent (for example by transecting the MCA distally to the ligation point), or reversible, for example by occluding for a finite period of time, such as at least 10 minutes, at least 30 minutes, or at least 60 minutes. Alternatively or in addition, the mouse is exposed hypoxic conditions, such as 8-11% oxygen for 2 hours.


Simultaneous to inducing the ischemic 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. 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 ischemic stroke, such as at least 1 hour, at least 2 hours, at least 6 hours, or at least 24 hours after the ischemic stroke.


The effect of the test agents on the activity of one or more ischemic stroke-related molecules can be determined using methods described in Example 15. For example, PBMCs can be isolated from the subject following exposure to the test agent. RNA or proteins isolated from the PBMCs can be analyzed to determine the activity of one or more ischemic stroke-related molecules.


Example 17
Assays for Determining Effective Dose and Effect on Ischemic Stroke

This example describes methods that can be used to further evaluate test agents that alter the activity of an ischemic stroke-related molecule, such as those identified using the methods described in Examples 15 and 16. For example, effective doses of the test agents, and the ability of the agent to treat an ischemic stroke can be determined in vitro or in vivo.


Cell-Based Assays

Cells (such as 20,000 to 500,000 cells) are exposed to conditions that mimic an ischemic stroke, such as hypoxic or hypoglycemic conditions (or both), and the incubation continued for at least 1 hour (such as at least 4 hours or at least 24 hours). The test agent can be applied to the cells before, during, or after mimicking an ischemic stroke. In some examples, several different doses of the potential therapeutic agent are administered, to identify optimal dose ranges. For example, milligram, microgram, and nanogram concentrations can be used. Subsequently, assays are conducted to determine the activity of one or more ischemic stroke-related molecules.


Animal Model Assays

The ability of an agent, such as those identified using the methods provide above, to treat an ischemic stroke, can be assessed in animal models. Several methods of inducing an ischemic 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 ischemic stroke. Such animal models can also be used to test agents for an ability to ameliorate symptoms associated with ischemic 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.


An ischemic stroke is induced in the mammal, and one or more test agents identified in the examples above administered. 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. The therapeutic agent can be administered before, during, or after inducing the ischemic stroke. Subsequent to the treatment, animals are observed for one or more symptoms associated with ischemic stroke. A decrease in the development of symptoms associated with ischemic 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 ischemic stroke in a subject.


Example 18
Differential Expression Associated with Ischemic Stroke

This example describes particular changes in expression, such as gene or protein expression, that are associated with ischemic stroke. Although particular ischemic 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 ischemic stroke. Particular examples of ischemic stroke-related molecules that are differentially expressed in association with the diagnosis of an ischemic 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 10.









TABLE 10







Exemplary patterns of expression associated with ischemic stroke









Ischemic Stroke Molecule
Change in Expression
Magnitude of the change





CD163
Upregulated
t-statistic of at least 7 (such as at




least 7.8)




at least 50%




at least 4-fold


hypothetical protein FLJ22662
upregulated
t-statistic of at least 7.5 (such as


Laminin A motif

at least 7.8)




at least 50%




at least 4-fold


BST-1
upregulated
t-statistic of at least 6 (such as at




least 6.4)




at least 50%




at least 4-fold


FcγRI
upregulated
t-statistic of at least 4.5 (such as




at least 5.7)




at least 50%




at least 4-fold


baculoviral IAP repeat-
upregulated
t-statistic of at least 4 (such as at


containing protein 1

least 4.4)




at least 50%




at least 4-fold


KIAA0146
upregulated
t-statistic of at least 5 (such as at




least 6.5)




at least 50%




at least 4-fold


intercellular adhesion molecule 2
downregulated
t-statistic of no more than −5.0




(such as no more than −5.4)




at least 50%




at least 4-fold


protein kinase D2
downregulated
t-statistic of no more than −5.0




(such as no more than −5.5)




at least 50%




at least 4-fold


GATA binding protein 3
downregulated
t-statistic of no more than −5.5




(such as no more than −5.9)




at least 50%




at least 4-fold


hypothetical protein FLJ20257
downregulated
t-statistic of no more than −5.5




(such as no more than −5.9)




at least 50%




at least 4-fold


protein kinase C, theta
downregulated
t-statistic of no more than −6




(such as no more than −6.1)




at least 50%




at least 4-fold









Therefore, CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146 are upregulated by a magnitude of at least 50%, at least 4-fold or have a t-statistic of at least 4. That is, CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146 are upregulated by an amount associated with ischemic stroke, for example at least 50% or at least 4-fold (or have a t-statistic of at least 4). In addition, intercellular adhesion molecule 2, protein kinase D2, GATA binding protein 3, hypothetical protein FLJ20257, and protein kinase C, theta 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, intercellular adhesion molecule 2, protein kinase D2, GATA binding protein 3, hypothetical protein FLJ20257, and protein kinase C, theta are downregulated by an amount associated with ischemic 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 ischemic stroke, such as upregulation of CD163; hypothetical protein FLJ22662 Laminin A motif; and BST-1, wherein the magnitude of change is at least 4-fold for each of CD163; hypothetical protein


FLJ22662 Laminin A motif; and BST-1. Another example of a pattern of expression of proteins that have been found to be associated with ischemic stroke is as upregulation of CD163; hypothetical protein FLJ22662 Laminin A motif; BST-1; FcγRI; baculoviral IAP repeat-containing protein 1; and KIAA0146, for example wherein the magnitude of change is at least 4-fold for each of these proteins.


In view of the many possible embodiments to which the principles of our invention may be applied, it should be recognized that the illustrated embodiment is only a preferred example of the invention and should not be taken as a limitation on 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 determining whether a human subject has had an ischemic stroke, comprising: detecting expression of ischemic stroke-related nucleic acid molecules of the subject obtained from a blood sample, wherein the ischemic stroke-related molecules comprise at least four ischemic stroke-related molecules represented by any combination of at least four molecules listed in any of Tables 2-5;comparing expression of the ischemic stroke-related nucleic acid molecules to a control representing expression of the ischemic stroke-related nucleic acid molecules expected in a subject who has not had an ischemic stroke; anddetermining that the subject has had an ischemic stroke when the presence of an at least 4-fold change in expression of the ischemic stroke-related nucleic acid molecules in the subject relative to the control is detected.
  • 2. The method of claim 1, wherein expression of ischemic stroke-related nucleic acid molecules is detected within 24 hours of onset of clinical signs and symptoms that indicate a potential stroke.
  • 3. The method of claim 1, wherein expression of ischemic stroke-related nucleic acid molecules is detected within 7-14 days of onset of clinical signs and symptoms that indicate a potential stroke.
  • 4. The method of claim 1, wherein expression of ischemic stroke-related nucleic acid molecules is detected within 90 days of onset of clinical signs and symptoms that indicate a potential stroke.
  • 5. The method of claim 1, wherein the at least four ischemic-stroke related molecules comprise CD163, hypothetical protein FLJ22662 Laminin A motif; adrenomedullin; KIAA0146 protein; amyloid β(A4) precursor-like protein; CD36; baculoviral IAP repeat-containing protein 1; or combinations thereof.
  • 6. The method of claim 1, wherein the method comprises determining whether there is increased expression any combination of at least four ischemic stroke-related genes, wherein the presence of increased expression of the at least four ischemic stroke-related molecules indicates that the subject has had an ischemic stroke.
  • 7. The method of claim 1, wherein the method has a sensitivity of at least 78% and accuracy of at least 80%.
  • 8. The method of claim 1, wherein the subject had an onset of clinical signs and symptoms of an ischemic stroke no more than 72 hours prior to detecting expression of the at least four ischemic stroke-related molecules.
  • 9. The method of claim 1, where the nucleic acid molecules comprise mRNA or cDNA.
  • 10. The method of claim 1, wherein the nucleic acid molecules are isolated from the subject, thereby generating isolated nucleic acid molecules, and wherein the isolated nucleic acid molecules are hybridized with oligonucleotides that detect the at least four ischemic stroke-related molecules.
  • 11. The method of claim 10, wherein the oligonucleotides are present on an array substrate.
  • 12. The method of claim 1, wherein the nucleic acid molecules isolated from the blood sample are obtained from peripheral blood mononuclear cells (PBMCs).
  • 13. The method of claim 1, wherein the isolated nucleic acid molecules are labeled with a detectable label.
  • 14. The method of claim 11, wherein the oligonucleotides are labeled with a detectable label.
  • 15. The method of claim 1, wherein the blood sample is obtained from the subject within 24 hours of onset of clinical indications of stroke.
  • 16. The method of claim 1, further comprising administering to the subject a treatment to avoid or reduce ischemic injury if the expression indicates that the subject has had an ischemic stroke.
  • 17. The method of claim 16, wherein the selected treatment comprises treating the subject with an anticoagulant agent, a thrombolytic agent, or combinations thereof.
  • 18. The method of claim 1, wherein detecting expression comprises quantifying expression of the at least four ischemic stroke-related molecules.
  • 19. An array comprising oligonucleotides complementary to ischemic stroke-related gene sequences, wherein the ischemic stroke-related gene sequences comprise any combination of at least four of the genes listed in Tables 2-5.
  • 20. A method of determining whether a human subject has had an ischemic stroke, comprising: applying isolated nucleic acid molecules obtained from PBMCs of the subject to an array, wherein the array consists of oligonucleotides complementary to at least four ischemic stroke-related molecules represented by any combination of at least four molecules listed in any of Tables 2-5;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 the at least four ischemic stroke-related molecules indicates that the subject has had an ischemic stroke.
CROSS REFERENCE TO RELATED APPLICATIONS

This is a divisional of U.S. application Ser. No. 11/155,835 filed Jun. 17, 2005, now U.S. Pat. No. 7,749,700 issued Jul. 6, 2010, which is a continuation-in-part of PCT/US2005/018744 filed May 27, 2005, which claims priority to U.S. Provisional Application No. 60/575,279 filed May 27, 2004, all herein incorporated by reference in their entirety.

Provisional Applications (1)
Number Date Country
60575279 May 2004 US
Divisions (1)
Number Date Country
Parent 11155835 Jun 2005 US
Child 12829229 US
Continuation in Parts (1)
Number Date Country
Parent PCT/US2005/018744 May 2005 US
Child 11155835 US