Estrogen receptor alpha regulated gene expression, related assays and therapeutics

Abstract
A plurality of genes modulated by estrogen or other agents, such as hormones or combinations of hormones, in various types of tissue is described. One embodiment of the disclosure relates to a plurality of genes, which demonstrates certain patterns of expression differing qualitatively or quantitatively, with and without exposure to estrogen and/or other hormone compositions. Methods of using these genes in identifying candidate agents that exert at least some of the biological effects of estrogen and/or other hormone, and pharmaceuticals and related therapies also is disclosed. The use of the plurality of genes in methods of monitoring, in gene chips and in kits also is disclosed.
Description
FIELD OF THE INVENTION

The present disclosure relates to a plurality of genes modulated by estrogen or other agents, such as hormones or combinations of hormones, in various types of tissue. In particular, one embodiment of the disclosure relates to a plurality of genes which demonstrates certain patterns of expression differing qualitatively or, quantitatively, with and without exposure to estrogen and/or other hormone compositions. The disclosure further relates to the methods of using these genes in identifying agents that exert at least some of the biological effects of estrogen and/or other agents, and to pharmaceuticals and related therapies. The disclosure further relates to the use of the plurality of genes in methods of monitoring, in gene chips and in kits.


BACKGROUND OF THE INVENTION

Estrogens exert biological effects in numerous organs throughout the body. The role of estrogens in reproductive biology, the prevention of postmenopausal hot flashes, and the prevention of postmenopausal osteoporosis are well established. Many observational studies have suggested estrogens also reduce the risk of development of cardiovascular disease(1), at least in part by estrogens reducing LDL cholesterol levels and elevating HDL cholesterol levels(2,3). More recently, estrogens have been suggested to inhibit the development of colon cancer(4), inhibit the development of Alzheimer's disease(5), and inhibit development of cataracts (6). The multitude of estrogen responses matches the widespread distribution of estrogen receptors (ER) throughout numerous organs, with ERα expression highest in uterus, pituitary, kidney and adrenal gland and ERβ expression highest in ovary, uterus, bladder and lung(7). While various estrogens have been profiled for biological activity, little is known regarding the patterns of gene expression which are responsible for these diverse activities.


Thus, a need exists for the systemic analysis of the regulation by estrogen and/or other hormonal compositions of gene expression in various tissues and the identification of the plurality of differentially expressed genes. The identification of candidate agents that at least partially exert the same differential expression and development of pharmaceuticals and new treatment methods based on such agents is highly desirable. There also exists a need for methods of monitoring conditions and for diagnostic products, including gene chips and kits, which may be used in the above-described analyses.


The embodiments provided herein relate generally to a plurality of genes, particularly a plurality of genes that are modulated by estrogen and/or other hormonal compositions in various organs, such as the uterus, kidney and pituitary gland. Such differentially expressed genes are useful in screening assays to examine the effects of a candidate agent on the expression of genes that are responsive to estrogen. A candidate agent that induces, in a given tissue, a gene expression profile that exhibits one or more similarities to the gene expression profile of estrogen and/or other hormonal compositions, can be identified for possible use in pharmaceuticals. The invention also relates to the identification of estrogen responsive genes that are known to be associated with the inhibition of certain conditions, such as shock, post-menopausal calcium deficiencies, cardiovascular diseases, and conditions where there is decreased renal blood flow, such as those caused by diuretics or congestive heart failure.




BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 depicts a pattern analysis generated by a GeneChip microarray analysis. Specifically, WT or ERβKO ovariectomized mice were treated daily with vehicle or 20 μg/kg/day E2 for six weeks. Two hours following the final dose, the mice were euthanized and 13 tissues removed for RNA preparation. Two independent studies were performed, with total RNA pooled from two groups of three animals for each condition. Gene expression was quantified by GeneChip microarrays using murine U74 sub A arrays. Data were analyzed for patterns indicating either ERα or ERβ dependent regulation as shown. For ERα regulation, the defined search patterns (induction or repression) were for regulation by E2 in both wild type and ERβKO mice, in both sets of mice in both studies. For ERβ regulation, the defined search patterns were for regulation by E2 only in the wild type mice, with no change in basal expression in the ERβKO mice compared to the wild type mice. The number of genes in each tissue that matched the theoretical induction (↑) or repression (↓) patterns for ERα or ERβ are indicated.



FIGS. 2A-2C show a series of bar graphs showing gene expression levels of known genes regulated in the kidney in an ERα pattern. The expression levels (parts-per-million) are shown for the indicated genes in WT mice treated with vehicle (light blue bars), WT mice treated with E2 (dark blue bars), ERβKO mice treated with vehicle (light green bars), and ERβKO mice treated with E2 (dark green bars) using U74v2 subA, BS and C microarrays. Expression was measured in two independent sets of animals, with two groups of animals for each treatment in each study. A gene name abbreviation is shown above each graph, with the corresponding Unigene designation shown below. The genes are graphed in approximate order of regulation from largest induction (CYP7B1) to largest repression (BHMT).



FIG. 3 shows histological sections of the kidney in in situ hybridization studies using antisense probes for CYP7B1, TF, STAT5A or GADD45G in ovariectomized mice treated with vehicle or 20 μg/kg/day E2 for six weeks. No signal was detected with the corresponding sense probes.



FIG. 4 shows histological sections of the kidney in in situ hybridization using antisense probes for STAT5A or GAD45G in ovariectomized rats treated with vehicle or 20 μg/kg/day E2 for six weeks. No signal was detected with the corresponding sense probes.



FIG. 5A-5B show a series of graphs showing expression levels for various genes. Ovariectomized WT mice were treated with vehicle or various doses of E2 for six weeks. (A) Kidney gene expression values (mean±SEM) were determined by real-time PCR for each individual animal and normalized for GAPDH expression. The mean expression level in vehicle-treated mice was defined as 1 for each gene. (B) Uterine wet weights (mg) and gene expression values (mean t SEM).



FIGS. 6A-6D show a series of bar graphs depicting relative expression levels for various genes. Ovariectomized WT mice were treated with vehicle, 20 μg/kg/day E2, 5 mg/kg/day W-0292, W-0070 or propylpyrazole triol (PPT) for six weeks. Kidney gene expression values were determined by real-time PCR for each individual animal and normalized for GAPDH expression. The mean expression level in vehicle-treated mice was defined as 1 for each gene. *p<0.01 for comparison to vehicle treated animals.



FIGS. 7A-7D show bar graphs depicting expression levels of intact and ΔAF1-ERα mRNA determined in uterus and kidney by using a real-time PCR assay specific for exon 3 of the mouse ERα or ERβ genes. Each graph utilizes a different scale. Expression levels were normalized for total RNA level to avoid GAPDH expression differences between kidney and uterus.


FIGS. 8A-BC show a series of relative expression levels for various genes in different types of mice. This figure also presents a model for AF1 or AF2 activation for each gene. Ovariectomized WT mice, ERαERβKO mice (expressing only ΔAF1-ERα) or ERαKO mice (expressing ΔAF1-ERα along with ERβ) were treated for 6 weeks with vehicle, 10 μg/kg/day E2, 10 μg/kg/day E2+5 mg/kg/day ICI182780, or 5 mg/kg/day tamoxifen. Kidney gene expression values were determined by real-time PCR for each individual animal and normalized for GAPDH expression. The mean expression level in vehicle-treated WT mice was defined as 1 for each gene. *p<0.01 for comparison to vehicle treated animals. A model for the requirement of AF1 or AF2 for activation of each gene is shown below each graph. The change in ER shape with tamoxifen Cr) bound denotes the alternate helix 12 conformation induced by tamoxifen compared to E2. CA denotes coactivators.




SUMMARY OF EMBODIMENTS

One embodiment of the disclosure relates to a plurality of genes, each of whom is differentially expressed in tissue cells exposed to estrogen and/or other hormones or combination of hormones and tissue cells without said exposure, which plurality comprises a first group and a second group, wherein each gene in said first group is differentially expressed at a higher level in said tissue cells exposed to estrogen and/or a hormone or combinations of hormones than in said tissue cells without said exposure, wherein each gene in said second group is differentially expressed at a lower level in said tissue cells exposed to estrogen and/or a hormone or combinations of hormones than in said tissue cells without said exposure. Confirmation of such expression is confirmed by real-time PCR. Such cells preferably are from the kidney, pituitary or uterus. Exposure to estrogen and/or the other hormones is in vivo or in vitro. The higher level and lower levels are assessed using a predetermined statistical significance standard based on measurements of expression levels. The measurements can obtained using nucleotide arrays or nucleotide filters.


Another embodiment relates to a method for identifying an agent having the biological effect of estrogen and/or other hormones or combination of hormones, on gene expression in a given tissue, wherein said desired effect represents a first plurality of genes differentially expressed at various levels, which method comprises:

  • exposing, in vivo or in vitro, tissue cells to said agent;
  • measuring expression levels of a multiplicity of genes in said tissue cells exposed to said agent and tissue cells without said exposure, said multiplicity being greater than said first plurality;
  • determining, using a predetermined statistical significance standard, genes which are differentially expressed in said tissue cells exposed to said agent and said tissue cells without said exposure, said genes constitute a second plurality; and
  • comparing the expression levels of genes in said second plurality with the expression levels of genes in said first plurality,


    wherein said agent is identified as having said desired effort if said first and second pluralities are the same and said expression levels in said first and second pluralities are substantially the same. The tissue preferably is kidney, uterus or pituitary tissue. Expression levels are confirmed by real-time PCR.


Another embodiment is directed to an agent identified by the above method.


Another embodiment is a pharmaceutical composition comprising this agent and a pharmaceutically acceptable excipient.


Another embodiment relates to a method for identifying an agent capable of maintaining vascular volume in septic shock, which method comprises:

  • exposing, in vivo or in vitro, kidney cells to the agent;
  • measuring expression levels of NTT73 and ABCC3 in said kidney cells exposed to the agent and kidney cells without the exposure;
  • comparing the expression levels of NTT73 and ABCC3 with the expression levels of genes in the plurality if genes described above with regard to the kidney, wherein the induced genes are NTT73 and ABCC3,


    wherein said agent is identified as capable of maintaining vascular volume in septic shock if said expression levels of NTT73 and ABCC3 are substantially the same as said expression levels of genes in such plurality.


Another embodiment relates to a method of identifying an agent capable of enhancing calcium uptake in post-menopausal women, which method comprises:

  • exposing, in vivo or in vitro, kidney cells to said agent;
  • measuring expression levels of CYP7B1 in said kidney cells exposed to said agent and kidney cells without said exposure;
  • comparing the expression levels of CYP7B1 with the expression levels of genes in the plurality of genes in the kidney is induced CYP7B1,


    wherein said agent is identified as capable of enhancing calcium uptake in post-menopausal women if said expression levels of CYP7B1 are substantially the same as said expression levels of genes in such plurality.


Another embodiment relates to a method for identifying an agent for treating cardiovascular disorders, which method comprises:

  • exposing, in vivo or in vitro, kidney cells to said agent;
  • measuring expression levels of BHMT and SAHH in said kidney cells exposed to said agent and kidney cells without said exposure;
  • comparing the expression levels of BHMT and SAHH with the expression levels of genes in the plurality of genes, wherein in the kidney BHMT and SAHH are repressed,


    wherein said agent is identified for treating cardiovascular disorders if said expression levels of BHMT and SAHH are substantially the same as said expression levels of genes in the such plurality.


Another embodiment relates to agents identified by any of the above methods and pharmaceutical agents comprising such agents and a pharmaceutically acceptable excipient.


Another embodiment relates to a solid substrate comprising any of the above described plurality of genes.


Another embodiment relates to a kit comprising any of the above plurality of genes.


DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

The embodiments herein provide a plurality of genes modulated by estrogen and/or other hormonal compositions of interest in various types of tissue and the use of such a plurality of differentially expressed genes in screening for agents that exert at least some of the biological effects of estrogen and other hormonal compositions of interest. Such identified agents can be used in pharmaceuticals and in related new therapeutic methods. The plurality of genes can be used in methods of monitoring.


Definitions:


In general, “a gene” is a region on the genome that is capable of being transcribed to an RNA that either has a regulatory function, a catalytic function and/or encodes a protein. A gene typically has introns and exons, which may organize to produce different RNA splice variants that encode alternative versions of a mature protein. “Gene” contemplates fragments of genes that may or may not represent a functional domain.


A “plurality of genes” as used herein refers to a group of identified or isolated genes whose levels of expression vary in different tissues, cells or under different conditions or biological states. The different conditions may be caused by exposure to certain agent(s)—whether exogenous or endogenous—which include hormones, receptor ligands, chemical compounds, etc. The expression of a plurality of genes demonstrates certain patterns. That is, each gene in the plurality is expressed differently in different conditions or with or without exposure to a certain endogenous or exogenous agents. The extent or level of differential expression of each gene may vary in the plurality and may be determined qualitatively and/or quantitatively according to this invention. A gene expression profile, as used herein, refers to a plurality of genes that are differentially expressed at different levels, which constitutes a “pattern” or a “profile.” As used herein, the term “expression profile,” “profile,” “expression pattern,” “pattern,” “gene expression profile,” and “gene expression pattern” are used interchangeably.


An “agent that exerts at least some of the biological effects of estrogen,” as used herein refers to any factor, agent, compound whether endogenous or exogenous in origin, which is capable of binding and interacting with estrogen receptors and thereby eliciting certain biological effects of extrogen. The skilled artisan would know that, for instance, one of the biological effects of estrogen is to promote the development of the female reproductive system. Other biological effects of estrogen are well documented and discussed, infra.


Gene expression profiles may be measured, according to this invention, by using nucleotide or microarrays. These arrays allow tens of thousands of genes to be surveyed at the same time.


“Hormones or combinations of hormones” include for instance, combinations of estrogens or other hormones that are known to exert biological effects of estrogen.


As used herein, the term “microarray” refers to nucleotide arrays that can be used to detect biomolecules, for instance to measure gene expression. “Array,” “slide,” and “chip” are used interchangeably in this disclosure. Various kinds of arrays are made in research and manufacturing facilities worldwide, some of which are available commercially. There are, for example, two main kinds of nucleotide arrays that differ in the manner in which the nucleic acid materials are placed onto the array substrate: spotted arrays and in situ synthesized arrays. One of the most widely used oligonucleotide arrays is GeneChip™ made by Affymetrix, Inc. The oligonucleotide probes that are 20- or 25-base long are synthesized in silico on the array substrate. These arrays tend to achieve high densities (e.g., more than 40,000 genes per cm2). The spotted arrays, on the other hand, tend to have lower densities, but the probes, typically partial cDNA molecules, usually are much longer than 20- or 25-mers. A representative type of spotted cDNA array is LifeArray made by Incyte Genomics. Pre-synthesized and amplified cDNA sequences are attached to the substrate of these kinds of arrays.


In one embodiment, the nucleotide is an array (i.e., a matrix) in which each position represents a discrete binding site for a product encoded by a gene (e.g., a protein or RNA), and in which binding sites are present for products of most or almost all of the genes in the organism's genome. In one embodiment, the “binding site” (hereinafter, “site”) is a nucleic acid or nucleic acid analogue to which a particular cognate cDNA can specifically hybridize. The nucleic acid or analogue of the binding site can be, e.g., a synthetic oligomer, a full-length cDNA, a less-than full length cDNA, or a gene fragment.


Although the microarray may contain binding sites for products of all or almost all genes in the target organism's genome, such comprehensiveness is not necessarily required. Usually the microarray will have binding sites corresponding to at least about 50% of the genes in the genome, often at least about 75%, more often at least about 85%, even more often more than about 90%, and most often at least about 99%. Preferably, the microarray has binding sites for genes relevant to the action of the gene expression modulating agent of interest or in a biological pathway of interest.


The nucleic acid or analogue are attached to a “solid support,” which may be made from glass, plastic (e.g., polypropylene, nylon), polyacrylamide, nitrocellulose, or other materials. A preferred method for attaching the nucleic acids to a surface is by printing on glass plates, as is described generally by Schena et al., 1995, Quantitative monitoring of gene expression patterns with a complementary DNA microarray, Science 270:467-470. This method is especially useful for preparing microarrays of cDNA. See also DeRisi et al., 1996, Use of a cDNA microarray to analyze gene expression patterns in human cancer, Nature Genetics 14:457-460; Shalon et al., 1996, A DNA microarray system for analyzing complex DNA samples using two-color fluorescent probe hybridization, Genome Res. 6:639-645; and Schena et al., 1995, Parallel human genome analysis; microarray-based expression of 1000 genes, Proc. Natl. Acad. Sci. USA 93:10539-11286.


In a preferred embodiment, the microarray is a high-density oligonucleotide array, as described above. In a particularly preferred embodiment, the nucleotide arrays are the MG_U74 and MG_U74v2 arrays from Affymetrix.


“Polymerase Chain Reaction” or “PCR” is an amplification-based assay used to measure the copy number of the gene. In such assays, the corresponding nucleic acid sequences act as a template in an amplification reaction. In a quantitative amplification, the amount of amplification product will be proportional to the amount of template in the original sample. Comparison to appropriate controls provides a measure of the copy number of the gene, corresponding to the specific probe used, according to the principle discussed above. Methods of “real-time quantitative PCR” using Taqman probes are well known in the art. Detailed protocols for real-time quantitative PCR are provided, for example, for RNA in: Gibson et al., 1996, A novel method for real time quantitative RT-PCR. Genome Res. 10:995-1001; and for DNA in: Heid et al., 1996, Real time quantitative PCR. Genome Res. 10:986-994.


A TaqMan-based assay can also be used to quantify polynucleotides. TaqMan based assays use a fluorogenic oligonucleotide probe that contains a 5′ fluorescent dye and a 3′ quenching agent. The probe hybridizes to a PCR product, but cannot itself be extended due to a blocking agent at the 3′ end. When the PCR product is amplified in subsequent cycles, the 5′ nuclease activity of the polymerase, for example, AmpliTaq, results in the cleavage of the TaqMan probe. This cleavage separates the 5′ fluorescent dye and the 3′ quenching agent, thereby resulting in an increase in fluorescence as a function of amplification (see, for example, http://www2.perkin-elmer.com).


Other suitable amplification methods include, but are not limited to, ligase chain reaction (LCR) (see, Wu and Wallace, 1989, Genomics 4: 560; Landegren et al., 1988 Science 241: 1077; and Barringer et al., 1990, Gene 89: 117), transcription amplification (Kwoh et al., 1989, Proc. Natl. Acad. Sci. USA 86: 1173), self-sustained sequence replication (Guatelli et al., 1990, Proc. Nat. Acad. Sci. USA 87: 1874), dot PCR, and linker adapter PCR, etc.


The “level of mRNA” in a biological sample refers to the amount of mRNA transcribed from a given gene that is present in a cell or a biological sample. One aspect of the biological state of a biological sample (e.g. a cell or cell culture) usefully measured in the present invention is its transcriptional state. The transcriptional state of a biological sample includes the identities and abundances of the constituent RNA species, especially mRNAs, in the cell under a given set of conditions. Preferably, a substantial fraction of all constituent RNA species in the biological sample are measured, but at least a sufficient fraction is measured to characterize the action of an agent or gene modulator of interest. The level of mRNA may be quantified by methods described herein or may be simply detected, by visual detection by a human, with or without comparison to a level from a control sample or a level expected of a control sample.


A “biological sample,” as used herein refers to any sample taken from a biological subject, in vivo or in situ. A biological sample may be a sample of biological tissue, or cells or a biological fluid. Biological samples may be taken, according to this invention, from any kind of biological species, any types of tissues, and any types of cells, among other things. Cell samples may be isolated cells, primary cell cultures, or cultured cell lines according to this invention. Biological samples may be combined or pooled as needed in various embodimets. Preferred tissues are from the uterus, kidney, pituitary glands, breast, brain and adipose tissue.


“Modulation of gene expression,” as this term is used herein, refers to the induction or inhibition of expression of a gene. Such modulation may be assessed or measured by assays. Typically, modulation of gene expression may be caused by endogenous or exogenous factors or agents. The effect of a given compound can be measured by any means known to those skilled in the art. For example, expression levels may be measured by PCR, Northern blotting, Primer Extension, Differential Display techniques, etc.


“Induction of expression” as used herein refers to any observable or measurable increase in the levels of expression of a particular gene, either qualitatively or quantitatively. The measurement of levels of expression may be carried out according to this invention using any techniques that are capable of measuring RNA transcripts in a biological sample. Examples of these techniques include, as discussed above, PCR, TaqMan, Primer Extension, Differential display and nucleotide arrays, among other things.


“Repression of expression.” “Repression” or “inhibition” of expression, are used interchangeably according to this disclosure. It refers to any observable or measurable decrease in the levels of expression of a particular gene, either qualitatively or quantitatively. The measurement of levels of expression may be carried out using any techniques that are capable of measuring RNA transcripts in a biological sample. The examples of these techniques include, as discussed above, PCR, TaqMan, Primer Extension, Differential Display, and nucleotide arrays, among other things.”


A “gene chip” or “DNA chip” is described, for instance, in U.S. Pat. Nos. 5,412,087, 5,445,934 and 5,744,305 and is useful for screening gene expression at the mRNA level. Gene chips are commercially available.


A “kit” is one or more of containers or packages, containing at least one “plurality of genes,” as described above, on a solid support. Such kit also may contain various reagents or solutions, as well as instructions for use and labels.


A “detectable label” or a “detectable moiety” is a composition that when linked with a nucleic acid or a protein molecule of interest renders the latter detectable, via spectroscopic, photochemical, biochemical, immunochemical, or chemical means. For example, useful labels include radioactive isotopes, magnetic beads, metallic beads, colloidal particles, fluorescent dyes, electron-dense reagents, enzymes, biotin, digoxigenenin or haptens. A “labeled nucleic acid or oligonucleotide probe” is one that is bound, either covalently, through a linker or a chemical bond, or noncovalently through ionic, vander Waals, electrostatic, hydrophobic interactions, or hydrogen bonds, to a label such that the presence of the nucleic acid or probe may be detected by detecting the presence of the label bound to the nucleic acid or probe.


A “nucleic acid probe” is a nucleic acid capable of binding to a target nucleic acid or complementary sequence through one or more types of chemical bond, usually through complementary base pairing usually through hydrogen bond formation. As used herein, a probe may include natural (i.e., A, G, C, or T or modified bases (7-deazaguanosine, inosine, etc.). In addition, the bases in a probe may be joined by a linkage other than a phosphodiester bond, so long as it does not interfere with hybridization. It will be understood by one of skill in the art that probes may bind target sequences that lack complete complementarity with the probe sequence depending upon the stringency of the hybridization conditions. The probes are preferably directly labeled with isotopes, for example, chromophores, luminphores, chromogens, or indirectly labeled with biotin to which a strepavidin complex may later bind. By assaying the presence or absence of the probe, one can detect the presence or absence of a target gene of interest.


“In situ hybridization” is a methodology for determining the presence of or the copy number of a gene in a sample, for example, fluorescence in situ hybridization (FISH) (see Angerer, 1987 Meth. Enzymol 152: 649). Generally, in situ hybridization comprises the following major steps: (1) fixation of tissue or biological structure to be analyzed; (2) prehybridization treatment of the biological structure to increase accessibility of target nucleic acid, and to reduce nonspecific binding; (3) hybridization of the mixture of nucleic acids to the nucleic acid in the biological structure or tissue; (4) post-hybridization washes to remove nucleic acid fragments not bound in the hybridization, and (5) detection of the hybridized nucleic acid fragments. The probes used in such applications are typically labeled, for example, with radioisotopes or fluorescent reporters. Preferred probes are sufficiently long, for example, from about 50, 100, or 200 nucleotides to about 1000 or more nucleotides, to enable specific hybridization with the target nucleic acid(s) under stringent conditions.


Hybridization protocols suitable for use with the methods of the invention are described, for example, in Albertson (1984) EMBO J. 3:1227-1234; Pinkel (1988) Proc. Natl. Acad. Sci. USA 85:9138-9142; EPO Pub. No. 430:402; Methods in Molecular Biology, Vol. 33: In Situ Hybridization Protocols, Choo, ed., Humana Press, Totowa, N.J. (1994); etc.


“A predetermined statistical significance standard based on measurements of expression levels” is a confidence score based upon the assessment of four factors. Specifically, a score is assigned to each gene that reflects the confidence of the change. The score is based on four criteria: Fold Change, p-value (T-test), Present Calls, Frequency Value. For example, see the Table below:

TABLE IConfidence criteriaScoreFold Change>2.05>1.50<1.5−3pValue <0.0530.05 to 0.1 20.1 to 0.200.2 to 0.3−10.3 to 0.5−3Present Calls2-43 1 1 0 0Second Largest Frequency>20  3 15 to 19110-14−1<10  −3Outliers (Max Freq/2nd largest)>2.5−3


“Data” refers to information obtained that relates to the expression of genes in response to exposure to estrogen or an agent of unknown biological effect. The plurality of genes identified by the disclosed methods are examples of such information. The information is stored in electronic or paper formats. Electronic format can be selected from the group consisting of electronic mail, disk, compact disk (CD) digital versatile disk (DVD), memory card, memory chip, ROM or RAM, magnetic optical disk, tape, video, video clip, microfilm, internet, shared network, shared server and the like; wherein data is displayed, transmitted or analyzed via electronic transmission, video display, telecommunication, or by using any of the above stored formats; wherein data is compared and compiled at the site of sampling specimens or at a location where the data is transported following a process as described above.


“Genes modulated by estrogen.” Genes regulated by estrogen and/or hormonal compositions and identified according to the disclosed methods, are listed in Tables II, III and IV. Relevant Unigene codes or Genbank accession numbers are provided.


Identification of Genes Modulated by Estrogen


A. Biological Sample and Assay


One embodiment disclosed herein relates to a plurality of genes, each of which is differentially expressed in kidney cells exposed to estrogen or a candidate agent and kidney cells without exposure to estrogen or a candidate agent, which plurality comprises a first group and a second group, wherein each gene in said first group is differentially expressed at a higher level in said kidney cells exposed to estrogen or a candidate agent than in said kidney cells without said exposure, wherein each gene in the second group is differentially expressed at a lower level in said kidney cells exposed to estrogen or candidate agent than in said kidney cells without said exposure.


A biological sample of kidney cells are obtained according to methods well known to the skilled artisan. One group of kidney cells are exposed to estrogen. Such estrogen may be 17β estradiol. The kidney cells may be from one or more animals of the same species or from a culture of kidney cells or kidney tissue. Preferably, such cells are from a mammal, most preferably a mouse, rat or human. Such animal must produce little or no estrogen. For instance, an aromatase knockout animal cannot produce estrogen. Because the major source of circulating estrogen is the ovary, ovariectomy dramatically decreases circulating estrogen levels. Thus, in one embodiment, ovariectomized animals are used. By “exposure” is meant a type and quantity of either in vivo or in vitro administration that is applicable to the source of the kidney cells and known and acceptable to those of skill of the art. The total RNA from such cells is prepared by methods known to the skilled artisan, e.g., by Trizol (Invitrogen) followed by subsequent repurification, e.g. via Rneasy columns (Qiagen). The total RNA is used to generate a labeled target according to methods and using detectable labels well know in the art, as described above in detail. For instance, the RNA may be labeled with biotin to form a cRNA target for use in an assay. See a complete description of preferred methods in the Affymetrix GeneChip® technical manual (Pages 700217 through 700223), which is herein incorporated by reference.


The assay, according to the invention, may be any assay suitable to detect gene expression. For instance, mRNA, cDNA or protein expression may be detected. Many different types of assays are known, examples of which are set forth above, including analyses by nucleotide arrays and nucleotide filters. The hybridization conditions (temperature, time, and concentrations) are adjusted according to procedures also well known in the art, as described above. In a preferred embodiment, the assay of the invention involves the use of a high density oligonucleotide array. For instance, in a preferred embodiment, cRNA labeled with biotin is hybridized to a murine MG_U74Av2 probe array (Affymetrix, Santa Clara, Calif.) for 16 hours at 45 degrees. Eleven biotin-labeled cRNAs at defined concentration are spiked into each hybridization and used to convert average difference values to frequencies expressed as parts per million.


Other solid supports and microarrays are known and commercially available to the skilled artisan, as described above.


B. Measurements and Statistical Analysis


The assay of the invention is used to identify genes modulated by estrogen. Such modulation may be induction of expression (a plurality of genes belonging to a “first group”) or repression of such expression (a plurality of genes belonging to a “second group”). Gene expression induction is indicated by a higher level of expression, whereas repression is indicated by a lower level of expression, as assessed using a predetermined statistical significance standard based on measurements of expression levels.


Thus, the genes expressed or repressed in kidney cells with estrogen exposure are compared to the genes expressed or repressed in kidney cells that were not exposed to estrogen. Pairwise comparisons are made between each of the treatments. A pairwise comparison is the expression data for a given gene under a given treatment condition compared to the expression data for this gene under a second treatment condition. The fold change ratio is then calculated, the p-value based on Student's t-test, the number of present calls, and the expression level for each comparison. A confidence score “CS” is defined as CS(x)=FC(x)+PV(x)+PC(x)+EL(x) where FC, PV, PC and EL are scores assigned to the fold change, p-value, number of present calls, and the expression level, respectively. FC(x) is assigned 5 if the fold change ratio was greater then 1.95 and is assigned 0 if the ratio is between 1.95 and 1.5. PV(x) is assigned 3 if the p-value is less then 0.05 and is assigned 2 if the p-value was between 0.05 and 0.1. PC(x) is assigned 3 if at least 50% of the samples are called P by the Affymetrix algorithm and assigned 1 if only 25% of the samples are called P. EL(x) is assigned 3 if at least two samples have frequency value of 20 or greater and assigned 1 if two samples only have a frequency greater then 15. Penalty points are assigned if the fold change is less then 1.5, the p-value is greater then 0.2 or the frequency values were below 15 ppm. CS(x) ranged for −14 to 14 with qualifiers having a score of 14 considered the most significant changes. Genes with 11 or more points in any one pairwise comparison is considered to be significant. Real-time PCR and histology analyses are then performed to confirm the identity of the genes, essentially as described previously (9,10), which are herein incorporated by reference. The above described analysis can be used to identify candidate agents that are “estrogen-like” in that they have a differential expression profile which is in the most preferred embodiment substantially the same as estrogen's. For instance, in one embodiment, the expression levels for the genes upon exposure to the respective compounds is at least within 50% of each other.


C. Biological Samples from Other Organs


The above described methods, assay and analysis can be applied to biological samples from any tissue, including the uterus, pituitary gland, liver, brain, colon, breast, adipose tissue, etc. In preferred embodiments, the biological samples are from the kidney, pituitary gland and the uterus.


D. The Plurality of Genes


Pursuant to the above described methods, the genes listed in Table II were identified as being differentially expressed upon exposure to estrogen. Genes in which expression is induced by estrogen are considered to be genes of the “first group,” whereas genes that are repressed by estrogen are considered to be in the “second group”.


Specifically, the estrogen modulated genes in the kidney are Tissue Factor, CYP7B1, BCAT1, STAT5A, GADD45G, BHMT, SAHH, NTT73, ABCC3. Of these genes, estrogen induced expression in all but BHMT and SAHH, where it repressed expression.


Thus, one disclosed embodiment is a plurality of genes, wherein in the first group, where gene expression in kidney cells is induced by estrogen exposure, the plurality of genes comprise NTT73 and ABCC3. Another disclosed embodiment is a plurality of genes wherein the “first group” comprises CYP7B1 in kidney cells. In another embodiment, the plurality of genes of the “second group,” where gene expression in kidney cells is repressed by estrogen exposure, comprises at least BHMT and SAHH.


Another disclosed embodiment is directed to a plurality of genes in kidney cells, wherein the first group comprises Tissue Factor, CYP7B1, BCAT1, STAT5A, and GADD45G, and wherein said second group comprises BHMT.


Another disclosed embodiment is directed to a plurality of the genes wherein the first group comprises CYP7B1, TF, SCYA28, Iga, Vk28, PHD 2, ELF 3, TIM1, STAT5A, COR1, BCAT1, ABCC3, TIM2, NAT6, RGS3, GNBP3, BCL7A, 17βDHH, FYVE ZFP, NTT73, AGPS, TRIM2, HBACH, CIS2, CYP27B1, and STAT5B, wherein said second group comprises SAHH, ADH1A7, RARRES2, and BHMT. Another disclosed embodiment relates to a plurality of genes, wherein the first group comprises COR1 and GNBP3.


The estrogen modulated genes in the pituitary gland are STAT5B, GADD45G, Kallikrein-9, and FSHb, the expression of which is induced by estrogen for all but FSHb, which is repressed.


Thus one embodiment relates to a plurality of genes in the pituitary gland, wherein the first group comprises STAT5B and GADD45G.


Another embodiment relates to a plurality of genes, wherein the first group comprises STAT5B, GADD45G1 and Kallikreins genes in the pituitary.


Yet another embodiment relates to a plurality of genes, wherein the second group of genes in the pituitary gland comprise FSHb.


Pursuant to the above methods, the inventors discovered that the estrogen modulated genes in the uterus comprise SFRP4, Deiodinase (type II), Procollagen (type I, Alpha I), vimentin and IGFBP4, Scavenger receptor, AI121305, ALOX15, BCAT1, SiAMOX, C3, FOS, MAP2k1, CEBPb, EGR1 and CYP1A1. All of these genes are induced by estrogen in the uterus except for Scavenger receptor and CYP1A1, which are repressed.


Thus, one embodiment is directed to a plurality of genes in the uterus, wherein the first group comprises SFRP4, Deiodinase (type II), Procollagen (type I, Alpha I), vimentin and IGFBP4.


Another embodiment of the invention is directed to the plurality of genes, wherein the first group in the uterus comprises AI121305, ALOX15, BCAT1, SiAMOX, C3, FOX, MAP2k1, CEBPb and EGR1.


Another embodiment is directed to a plurality of genes wherein the first group in the uterus comprises SFRP4, Deiodinase (type II), Procollagen (type I, Alpha I), vimentin and IGFBP4, Scavenger receptor, AI121305, ALOX15, BCAT1, SiAMOX, C3, FOS, MAP2k1, CEBPb and EGR1.


In another embodiment, the plurality of genes in the second group in the uterus comprises CYP1A1.


In yet another embodiment, the plurality of genes in the second group in the uterus comprises Scavenger receptor.


Methods of Identifying Agents


Based upon the above described methods for determining differential expression of genes in various organs, another aspect of the invention relates to the identification of candidate agents that have the same or substantially the same biological effect of a known agent, such as estrogen or another hormonal combination of known biological effect. An “agent” could be any compound of unknown biological effect on genes in a given body site. Specifically, the invention relates to a method for identifying an agent having a desired effect on gene expression in an organ, wherein said desired effect represents a first plurality of genes differentially expressed at various levels, which method comprises:

    • exposing, in vivo or in vitro, organ cells to the agent;
    • measuring expression levels of a multiplicity of genes in the organ cells exposed to the agent and organ cells without the exposure, the multiplicity being greater than said first plurality;
    • determining, using a predetermined statistical significance standard, genes which are differentially expressed in the organ cells exposed to the agent and the organ cells without the exposure, the genes constitute a second plurality; and
    • comparing the expression levels of genes in the second plurality with the expression levels of genes in said first plurality,


      wherein the agent is identified as having said desired effort if said first and second pluralities are the same and said expression levels in said first and second pluralities are substantially the same. The “organ cells” may be from any type of biological sample, as described above. In a preferred embodiment, such cells are from the kidney, pituitary gland or uterus. The “first plurality of genes” and “second plurality” of genes can be identified through a nucleotide array or filter, as described above. The comparing is performed using a suitable statistical technique with the assistance of known and commercially available programs, also as described above.


Another embodiment relates to an agent identified by the above method.


Yet another embodiment relates to a gene chip comprising any one or more of the above plurality of genes.


Pharmaceuticals and Methods of Treating


The identification of agents that induce or repress the expression of a gene associated with a given disorder or condition can lead to the development of pharmaceuticals that can be administered to a patient at therapeutically effective doses to prevent, treat, or control such disorder or condition.


Some conditions associated with estrogen regulation of gene expression in the kidney are known. For instance, in women, high estrogen levels preceding ovulation, during pregnancy, and resulting from estrogen administration commonly results in body water retention (23,24). Increased renal sodium reabsorption is a major mechanistic component for the elevated fluid retention (25). In rats, estrogen has been shown to increase thiazide-sensitive NaCl cotransporter expression levels(26), providing one possible molecular basis for estrogen effects on sodium retention.


Pursuant to the methods of the invention as disclosed above and as exemplified in greater detail in the Examples below, two additional estrogen regulated genes that influence sodium retention were identified. First, estrogen (E2) treatment increased mRNA levels for NTT73 (27), which is a sodium and chloride dependent transporter, known to regulate sodium retention. Second, E2 treatment also induced mRNA levels for ABCC3, a member of a family of genes which are known to modulate epithelial sodium channel activity (28). The physiological role of E2 regulation of these genes may lie in the large volume expansion required during pregnancy. The ED50 value for E2 activation of gene expression in the kidney was about 10-fold higher than that required for uterine weight increases (FIG. 5), perhaps a mechanism to ensure that normally estrogen actions only occur in the kidney when very high levels of estrogen are present, as during pregnancy.


Premenopausal women survive septic shock better than comparably aged males while postmenopausal women have a diminished survival advantage. Since volume loss is a major cause of morbidity in shock, it is expected that enhanced sodium and water retention due to elevated expression of NTT73(27) by E2 plays a role in this protective process. Thus, one disclosed embodiment relates to a method for identifying an agent capable of maintaining vascular volume in septic shock comprising exposing, in vivo or in vitro, kidney cells to an agent, measuring expression levels of NTT73 and ABCC3 in kidney cells exposed the agent and in kidney cells not exposed to the agent; comparing the expression levels of the NTT73 and ABCC3 with the expression levels of the genes kidney cells exposed to estrogen. The candidate agent identified by this process can be used in pharmaceuticals for purposes of maintaining vascular volume in the treatment of septic shock.


Another estrogen modulated gene in the kidney with biological significance is CYP27B1, the enzyme responsible for the rate limiting conversion of inactive 25-hydroxy vitamin D3 into active 1,25-dihidroxy vitamin D (29). This process is known to occur in the proximal tubules of the kidney and has been shown to be stimulated by estrogen treatment of birds(30). Urinary calcium excretion is increased in postmenopausal women, while estrogen treatment reduces urine calcium levels (31, 32). The presence of vitamin D receptors within the proximal convoluted tubule and collecting duct tubules of the kidney suggests that E2 induction of CYP27B1 is the basis of this beneficial effect.


Thus, the invention relates to a method of identifying agents that are capable of enhancing calcium uptake in postmenopausal women comprising exposing, in vivo or in vitro, kidney cells to an agent, measuring expression levels of CYP7B1 in kidney cells exposed the agent and in kidney cells not exposed to the agent; comparing the expression levels of the CYP7B1 with the expression levels of the genes in kidney cells exposed to estrogen. The agent identified by this process can be used in pharmaceuticals for purposes of enhancing calcium uptake in postmenopausal women.


It is known that estrogen treatment reduces expression of betaine:homocysteine methyltransferase (BHMT) and S-adenosylhomocysteine hydrolase (SAHH), two enzymes involved in the methionine/homocysteine cycle (34). Elevated plasma homocysteine levels are now recognized as an important risk factor for the development of cardiovascular disease (35), and estrogen treatments reduced plasma homocysteine levels in postmenopausal women. Thus, the regulation of BHMT and SAHH provides a mechanistic link for this effect.


Thus, one embodiment disclosed herein relates to a method of identifying candidate agents for treating cardiovascular disorders comprising measuring expression of BHMT and SAHH in kidney cells exposed to an agent and in kidney cells with such exposure, comparing the expression levels of BHMT and SAHH with the expression levels of the genes in kidney cells exposed to estrogen. The agent identified by this process can be used in pharmaceuticals for purposes of treating cardiovascular disorders.


Finally, E2 treatment induced expression of COR1 (chemokine orphan receptor 1, RDC1) an orphan G-protein coupled receptor (37), along with the guanylate nucleotide binding protein 3 (GNBP3) and the regulator of G-protein signaling 3 (RGS3), suggesting these proteins may form a functional unit. RDC1 is a receptor for the potent vasodilatory peptide adrenomedullin and calcitonin gene-related peptide, CGRP (38). Administration of CGRP to ovariectomized rats does not produce a decrease in kidney vascular resistance; however, in ovariectomized rats treated with E2 or in pregnant rats, injection of CGRP significantly decreases kidney vascular resistance (39). The observed increased expression of RDC1 in kidney provides a mechanism for the E2 induction of sensitivity to CGRP in the kidney, resulting in the large increase in renal flow seen during pregnancy (40).


Thus, one embodiment disclosed herein relates to a method of identifying candidate agents for treating conditions associated with reduced renal flow, such as caused by diuretics or congestive heart failure. Toxicity and therapeutic efficacy of such agents identified by the above methods can be determined by standard pharmaceutical procedures in cell cultures or experimental animals, for example, for determining the LD50 (the dose lethal to 50% of the population) and the ED50 (the dose therapeutically effective in 50% of the population). The dose ratio between toxic and therapeutic effects is the therapeutic index and can be expressed by the ratio, LD50/ED50. compounds that exhibit large therapeutic indices are preferred. While compounds that exhibit toxic side effects can be used, care should be taken to design a delivery system that targets such compounds to the site of affected tissue to minimize potential damage to normal cells and thereby reduce side effects.


The data obtained from the cell culture assays and animal studies can be used to formulate a dosage range for use in humans. The dosage of such compounds likes preferably within a range of circulating concentrations that include ED50 with little or no toxicity. The dosage can vary within this range depending upon the dosage form employed and the route of administration.


The pharmaceuticals of the present invention can be formulated by standard techniques using one or more physiologically acceptable carriers or excipients and the biologically active agent. The agents and its physiologically acceptable salts and solvates can be formulated and administered orally, introraly, rectally, parenteraly, epicutaneously, topically, transdermally, subcutaneously, intramuscularly, intranasally, sublingually, intradurally, introcularly, intravenously, intraperioneally, or by inhalation.


With regard to oral administration, the pharmaceutical compositions can take the form of tablets or capsules prepared by conventional means with pharmaceutically acceptable excipient, such as binding agents etc. Tablets may be coated according to methods well known in the art. Liquid preparations can be in the form of solutions, suspensions and syrups or can be initially in dry form for constitution with water or other suitable vehicle. Other additives may include suspending agents, such as sorbitol syrup, cellulose derivatives or hydrogenated edible fats, emulsifying agents or non-aqueous solutions. Preparations for oral administration may also be formulated for a time or controlled release of the active ingredient using techniques well know in the art of the invention.


Other formulations of the pharmaceuticals of the invention may be depot preparations for administration via implantation.


The pharmaceutical compositions of the present invention may be presented in a pack or dispenser device that contains one or more unit dosage forms containing the active ingredient. The pack can for example comprise metal or plastic foil, for example a blister pack. The pack or dispenser would contain instructions for administration.


Methods of Monitoring


The identification of the plurality of genes described above provides a powerful tool for assessing the progression of a state, condition or treatment. Specifically, a plurality of genes can be identified in a patient prior to an event, such as menopause, surgery, the onset of a therapeutic regime, or the completion of a therapeutic regime, to provide a base line result. This base-line can then be compared with the result obtained using identical methods either during or after such event. This information can be used for both diagnostic and prognostic purposes.


Kits


Another embodiment is directed to a kit containing a plurality of genes, preferably on a substrate. The kit also may comprise one or more containers or packages, along with reagents, solutions and possibly instructions for use.


All of the cited references are herein incorporated by reference. The invention is further described by the following Examples, which do not limit the invention in any manner.


EXAMPLES
Example 1
Introduction to Study and Animal-Related Procedures

Introduction


Estrogen receptors are expressed in numerous organs, although only a few organs are considered classical targets for estrogens. A systematic survey of estrogen regulation of approximately 10,000 genes in 13 tissues from wild type and ERβKO mice treated subcutaneously with vehicle or 17β-estradiol (E2) for six weeks was conducted. As expected, the uterus and pituitary had the greatest number of genes regulated by E2, while, surprisingly, the kidney had the third largest number of regulated genes. Some of these kidney regulations may provide mechanisms for known physiological effects of estrogens. For example, E2 induction of CYP27B1, the rate limiting enzyme in the synthesis of 1,25-dihydroxy vitamin D, may explain the ability of estrogens to decrease urinary calcium excretion in women. In situ hybridizations localized E2 regulation in the kidney to the juxtamedullary proximal and distal collecting tubule epithelial cells in both the mouse and rat. E2 regulations in the kidney were intact in the ERβKO mice, and the ERα selective agonist propyl pyrazole triol acted similarly as E2, together suggesting an ERα mediated mechanism. Finally, the combination of the AF1-selective agonist tamoxifen plus mice expressing an AF1-deleted version of ERα (previously designated as ERα knockouts) allowed clear identification of genes dependent upon ERα AF1 activity and genes dependent upon ERα AF2 activity. Both AF1 and AF2 dependent genes were stimulated by E2 with the same ED50, indicating that sensitivity of gene regulation in the kidney depends upon ER ligand binding and not on the subsequent ER activation mechanisms.


Animal-Related Procedure


Animals—Wldtype 129 strain female mice or Sprague-Dawley rats (bred at Wyeth or obtained from Taconic Farms) were placed on a casein-based diet at approximately 6 weeks of age. One week later, the animals were ovariectomized. Commencing the day after ovariectomy, each animal received a daily subcutaneous treatment with vehicle (50% DMSO, 50% phosphate buffered saline) or vehicle containing treatments for six weeks. Each group consisted of six or seven animals. Approximately 2 hours following the final treatment, the animals were euthanized with selected tissues frozen in liquid nitrogen for RNA analysis or on dry ice for histology.


Example 2
Preparation of Microarray

GeneChip—Total RNA was prepared separately from each individual organ by using Trizol (Invitrogen) followed by subsequent repurification on Rneasy columns (Qiagen). In general, two pools of RNA were created using equal amounts of RNA from three mice. For small organs such as pituitary, an equal amount of RNA from six animals was combined.


Target Preparation and Array Hybridization—Total RNA was used to generate biotin labeled cRNA target as described (8) which was hybridized to the murine MG_U74Av2 probe arrays (Affymetrix, Santa Clara, Calif.) for 16 h at 45° C. Eleven biotin-labeled cRNAs at defined concentration were spiked into each hybridization and used to convert average difference values to frequencies expressed as parts per million.


Example 3
Data Selection and Analysis

Pairwise comparisons were made between each of the treatments. We calculated the fold change ratio, the p-value based on Student's t-test, the number of present calls, and the expression level for each comparison. A confidence score (CS) was defined as CS(x)=FC(x)+PV(x)+PC(x)+EL(x) where FC, PV, PC and EL are scores assigned to the fold change, p-value, number of present calls, and the expression level, respectively. FC(x) was assigned 5 if the fold change ratio was greater then 1.95 and was assigned 0 if the ratio was between 1.95 and 1.5. PV(x) was assigned 3 if the p-value was less then 0.05 and was assigned 2 if the p-value was between 0.05 and 0.1. PC(x) was assigned 3 if at least 50% of the samples are called P by the Affymetrix algorithm and assigned 1 if only 25% of the samples are called P. EL(x) was assigned 3 if at least two samples had a frequency value of 20 or greater and assigned 1 if two samples only had a frequency greater then 15. Penalty points were assigned if the fold change was less then 1.5, the p-value was greater then 0.2 or the frequency values were below 15 ppm. CS(x) ranged for −14 to 14 with qualifiers having a score of 14 considered the most significant changes. Genes with 11 or more points in any one pairwise comparison were considered to be significant and were included for further analysis. Real-time PCR on individual RNA samples and histology analyses were performed essentially as described previously (9, 10).


Example 4
Discussion of Results

To begin a systematic survey of estrogen receptor regulation of gene expression in the mouse, ovariectomized wild-type (WT) and ERβKO mice were treated by daily subcutaneous administration of either vehicle or 20 μg/kg/day 17β-estradiol (E2) for six weeks. RNA prepared from 13 organs was analyzed by microarray for estrogen regulation of gene expression. The resulting data set was queried for genes whose regulation was dependent on ERα or ERβ. For ERα regulation, the basal expression level was predicted to be the same in WT and ERβKO mice, with E2 induction or suppression occurring in both WT and ERβKO mice. (FIG. 1). For ERβ regulation, basal expression was predicted to remain constant, with E2 induction or suppression occurring in WT mice but not in ERβKO mice. ERα pattern regulations were found in well known estrogen target tissues such as the uterus (514 inductions, 19 repressions), pituitary (56 inductions, 30 repressions) and bone marrow (3 inductions, 3 repressions). In contrast, essentially no genes could be discerned that fit the predicted ERβ regulation pattern in any tissue.


Surprisingly, the kidney had a very large number of genes regulated at least 2-fold by E2 (26 inductions, 4 repressions; FIG. 2). To further characterize E2 regulation of gene expression in the kidney, in situ hybridization was used to localize E2 induction of CYP7B1, TF, STAT5A and GADD45G In each case, induction of gene expression occurred in the juxtamedullary region of the kidney (FIG. 3) primarily in the proximal and distal tubule epithelium (not shown). Estrogen regulation of STAT5A and GADD45G also occurred in rat kidney juxtamedullary region (FIG. 4), demonstrating that the estrogen responsiveness of kidney is not limited to the mouse.


The ED50s for E2 stimulation of CYP7B1, TF, STAT5A, and BCAT1 in the kidney were all very similar at about 3 μg/kg/day (FIG. 5). Although this is approximately 10-fold greater than the ED50 dose of E2 required for uterine weight increases, the ED50 for gene induction in the uterus can vary by 20-fold, from 0.2 ug/kg/day E2 for BCAT1 induction to 2.7 ug/kg/day for c-fos (FIG. 5). The E2 induction of gene expression in the kidney at the same dose as induction of well characterized genes such as c-fos in the uterus suggests that regulation of kidney gene expression occurs at physiological levels of E2.


Confirmation of the role of ERα in the induction of kidney gene expression was obtained with 4-propyl-1,3,5-Tris(4-hydroxy-phenyl)pyrazole (PPT) a compound which exclusively activates ERα but not ERβ (11). Treatment with PPT induced expression of CYP7B1, TF, STAT5A and BCAT1 to a similar extent as did treatment with E2 (FIG. 6). Further, two ERβ selective agonists (W-0292 and W-0070, both approximately 75-fold selective for ERβ compared to ERα by in vitro binding assays; data not shown) failed to stimulate expression of any of these four genes (FIG. 6). Finally, in agreement with previous results, ERα mRNA was detectable within the mouse kidney (FIG. 7). The regulation of these genes in WT and ERβKO mice, the similar E2 ED50 for each gene, the activity of a selective ERα agonist, the inactivity of selective ERβ agonists, and the expression of ERα within the kidney together suggest a single, ERα mediated pathway for regulation of these genes.


It has been recognized that a commonly utilized strain of ERαKO mice (12) in fact expresses an ERα protein lacking only AF1, due to alternative splicings of the exon containing the targeted knockout mutation(13, 14). The resulting truncated ERα proteins, referred to here as ΔAF1-ERα, have the ability to stimulate expression of a synthetic estrogen response element driven promoter (14). As found previously for ERαKO mice, the level of this misspliced transcript in the uterus of ERαERβKO mice was lower than the level of full length message in WT mice (FIG. 7). Again as expected, the amount of intact ERα mRNA was much lower in the whole kidney than in uterus from WT mice. However, the level of ΔAF1-ERα mRNA was actually greater in the ERαERβKO kidney than was intact ERα mRNA in WT kidney. No ERβ mRNA could be detected in either uterus or kidney from the ERαERβKO mice.


The presence of ΔAF1-ERα at significant levels in the kidney allows determination of the relative contribution of AF1 and AF2 to E2 regulation of individual genes. To determine whether AF1 or AF2 regions of ERα were required for induction of CYP7B1, TF or BCAT1 in the kidney, WT, ERαERβKO or ERαKO mice were treated with E2 or the AF1 selective agonist tamoxifen (15). Expression of CYP7B1 was induced by E2 but not by tamoxifen in WT mice (FIG. 8), suggesting that induction of CYP7B1 occurred through AF2. Consistent with this hypothesis, E2 also increased CYP7B1 expression in mice expressing ΔAF1-ERα (either ERαERβKO or ERαKO mice). This E2 induction was blocked by an excess of ICI-182780, confirming the regulation occurred through ER. Together, these two lines of evidence suggest that induction of CYP7B1 is an AF2 dependent process. In contrast, TF expression was induced by both E2 and tamoxifen in WT mice. Neither compound could induce TF expression in ERαERβKO mice (which express only ΔAF1-ERα). This suggests that induction of TF occurs through an AF1 mediated pathway. Finally, BCAT1 was also induced by both E2 and tamoxifen in WT mice. However, in ERαERβKO mice, E2 stimulated BCAT1 expression but tamoxifen did not. These results suggest that BCAT1 expression can be stimulated through either AF1 or AF2 mechanisms. In WT mice, tamoxifen stimulates expression through AF1 only. Since ΔAF1-ERα lacks the AF1 region necessary for tamoxifen activity, tamoxifen cannot stimulate BCAT1 expression in ERαERβKO mice. In contrast, E2, which can stimulate BCAT1 expression through either AF1 or AF2, can still stimulate expression in the ΔAF1-ERα expressing mice.


Estrogen receptors α or β are found in almost all organs of the body, yet relatively few tissues are considered targets for estrogen action. To begin to develop a more complete understanding of estrogen biology, estrogen responsive genes in 13 tissues from WT and ERβKO mice were characterized. In general, many tissues showed patterns of E2 regulation consistent with an ERα mechanism, including such known target organs as uterus, pituitary, and bone. Surprisingly, no E2 regulations were found that fit the expected pattern for ERβ regulations. This was true even in organs expressing moderately high levels of ERβ such as the bladder and lung (7). At least three mechanisms could explain the lack of detection of expected ERβ responses. First, it has been proposed that a major function of ERβ is to modulate the activity of ERα(16). For example, expression of the Ki-67 protein was constitutively elevated in uterus of ERβKO mice, i.e. in the ERβKO mice its expression was always equivalent to the E2 stimulated levels in WT animals (17). The survey criteria used here would not detect this pattern. Further analysis of these data has revealed many genes in multiple tissues which also have this “nonclassical” pattern of regulation whereby expression is constitutively elevated in both vehicle and E2 treated ERβKO mice (data not shown). Second, analysis of whole organs may easily miss regulations occurring in only selected cell subtypes within an organ. For example, initial analysis of kidney did not identify GADD45G as being regulated by E2, because GADD45G expression is regulated only in tubule epithelial cells. The unregulated expression of GADD45G throughout most of the kidney sufficiently diminished the fold induction so as to be less than 2-fold in whole organ samples. The combination of laser capture microdissection with microarray technology (18) should allow detection of ERβ regulated genes with a classical pattern of regulation.


This global survey demonstrates that, unexpectedly, the kidney had a very large number of regulated genes. Both genetic approaches (FIG. 2) and pharmacological approaches (FIG. 6) demonstrated that E2 regulation in the kidney was mediated through ERα. Expression of CYP7B1, TF, STAT5A, and even genes such as GADD45G which are expressed throughout the kidney showed regulation only in tubule epithelium (FIG. 3). Additionally, KIM-1, the rat counterpart of mouse TIM1 and TIM2 (20) is also expressed in proximal tubule epithelial cells (21). Finally, 3H-E2 binding localizes to proximal tubule cells following administration to rats(22). Together, these results suggest that ERα directly regulates gene expression in tubule epithelial cells.


Although the observed regulations in the kidney were mediated by ERα, the mechanism of activation of gene expression by ERα was gene specific. Thus studies using tamoxifen, which activates ERα through AF1, along with studies using ΔAF1-ERαKO mice (previously designated as ERKO mice) together indicate that E2 induction of CYP7B1 expression occurred predominantly through an AF1-dependent mechanism, E2 induction of TF expression occurred predominantly through an AF2-dependent mechanism, and E2 induction of BCAT1 expression occurred through both AF1 and AF2 mechanisms (FIG. 8). The ED50 values for E2 stimulation of these three genes were all very similar (FIG. 5). Thus, whether a gene is induced through either AF1 or AF2 mechanism does not influence the sensitivity of the gene in the kidney to plasma estrogen levels. Rather, the data indicate that the binding of E2 to ERα would be the rate limiting step in induction of gene expression in the kidney. The maximal fold regulation varied between genes and may depend upon whether and AF1 or AF2 dependent pathway is utilized.


Analysis of 10 kb of upstream putative promoter sequences of E2 induced genes identified good matches to the consensus estrogen response element (ERE) in only a few genes, although ERE half-sites could be identified in most promoters. Many of these genes may be activated through nonclassical ERα mechanisms such as the combination of an ERE half-site with Sp1 binding sites (41). It is unlikely that a nonclassical ERα/AP1 stimulatory mechanism is responsible for these regulations, since ICI182780 functions as a partial agonist in this mechanism (42) while ICI182780 was a complete antagonist for E2 regulation of gene expression in the kidney (FIG. 8). Additionally, E2 induced expression of the transcription factors PHD2, ELF3, STAT5A and STAT5B. It is possible that E2 induction of these transcription factors resulted in the subsequent increase in expression of the remaining genes. For example, CIS2 is a known target for induction by STAT transcription factors (43), suggesting that the E2 induction of CIS2 is mediated indirectly through the E2 induction of STAT5A and STAT5B.

TABLE IIGenes Regulated By Estrogen in Kidney, Uterus and Pituitary GlandUnigene CodeFull nameWhyKidneyTissue FactorMm.3742Coagulation factor IIIMechanism is ERα AF1 dependentCYP7B1Mm.6216Cytochrome P450, 40 (25-hydroxyvitamin D3 1 alpha-Mechanism is ERα AF2 dependenthydroxylase)BCAT1Mm.4606Branched chain aminotransferase 1, cytosolicMechanism is ERα AF1 + AF2 dependentSTAT5AMm.4697Signal transducer and activator of transcription 5ARegulated in multiple species (mouse and rat)GADD45GMm.9653Growth arrest and DNA-damage-inducible 45 gammaRegulated in multiple species (mouse and rat)BHMTMm.21983Betaine-homocysteine methyltransferaseA repression by estrogensSAHHMm.2573S-adenosylhomocysteine hydrolaseNTT73Mm.4327SODIUM- AND CHLORIDE-DEPENDENT TRANSPORTERNTT73ABCC3Mm.23942ATP-binding cassette, sub-family C (CFTR/MRP), member 3UterusSFRP4Mm.42095Secreted frizzled-related sequence protein 4Induced by estrogens in mouse uterus andhuman endometriumDeiodinase, type IIMm.21389Deiodinase, iodothyronine, type IIInduced by estrogens in mouse uterus andhuman endometriumProcollagen, type I,Mm.22621Procollagen, type I, alpha 1Induced by estrogens in mouse uterus andalpha 1human endometriumvimentinMm.7VimentinInduced by estrogens in mouse uterus andhuman endometriumIGFBP4Mm.22248Insulin-like growth factor binding protein 4Induced by estrogens in mouse uterus andhuman endometriumScavenger receptorMm.1227Macrophage scavenger receptor 1Repressed by estrogens in mouse uterus andhuman endometriumAI121305Mm.29959RIKEN cDNA 1600029D21a set of genes induced by estrogens with arange of ED50 valuesALOX15Mm.4584Arachidonate 15-lipoxygenasea set of genes induced by estrogens with arange of ED50 valuesBCAT1Mm.4606Branched chain aminotransferase 1, cytosolica set of genes induced by estrogens with arange of ED50 valuesSIAMOXMm.7190Amiloride binding protein 1 (amine oxidase, copper-a set of genes induced by estrogens with acontaining)range of ED50 valuesC3Mm.19131Complement component 3a set of genes induced by estrogens with arange of ED50 valuesFOSMm.5043FBJ osteosarcoma oncogenea set of genes induced by estrogens with arange of ED50 valuesMAP2k1Mm.1059Mitogen activated protein kinase kinase 1a set of genes induced by estrogens with arange of ED50 valuesCEBPbMm.4863CCAAT/enhancer binding protein (C/EBP), betaa set of genes induced by estrogens with arange of ED50 valuesEGR1Mm.181959Early growth response 1a set of genes induced by estrogens with arange of ED50 valuesCYP1A1Mm.14089Cytochrome P450, 1a1, aromatic compound inducibleRepressed by estrogensPituitarySTAT5BMm.34064Signal transducer and activator of transcription 5BInduced by estrogensGADD45GMm.9653Growth arrest and DNA-damage-inducible 45 gammaInduced by estrogensKallikrein-9Mm.200410Kallikrein 9Induced by 17b-estradiol, not by PremarinFSHbMm.46711Follicle stimulating hormone betaRepressed by estrogens









TABLE III










Genes Regulated By Estrogen in the Uterus











Mousedata.



Mean WT E2


Qualifier
Pub_Name
Gene Name
Tissue
Fold Change














94120_s_at
SPRR2F
small proline-rich protein 2F
Uterus
38.71


97413_at
UNK_AI121305
ESTs, Weakly similar to AF189262_1 GABA-A receptor epsilon
Uterus
31.68




like subunit [R. norvegicus]


101130_at
COLA2
procollagen, type I, alpha 2
Uterus
29.57


103526_at
PDI2
peptidyl arginine deiminase, type II
Uterus
23.01


99059_at
ELF3
E74-like factor 3
Uterus
22.03


95343_at
PDI1
peptidyl arginine deiminase, type I
Uterus
21.72


101115_at
LTF
lactotransferrin
Uterus
19.01


93481_at
UNK_AI846720
Cluster Incl AI846720: UI-M-AN1-afi-h-09-0-UI.s1 Mus
Uterus
17.96





musculus cDNA, 3′ end/clone = UI-M-AN1-afi-h-09-0-UI/





clone_end = 3′/gb = AI846720/gi = 5490626/ug = Mm.7124/




len = 161/STRA = for


93097_at
ARG1
arginase 1, liver
Uterus
17.45


104249_g_at
UNK_AW227650
ESTs, Highly similar to TRANSLOCON-ASSOCIATED
Uterus
16.87




PROTEIN, GAMMA SUBUNIT [Rattus norvegicus]


93797_g_at
LDH1
lactate dehydrogenase 1, A chain
Uterus
16.5


101761_f_at
SPRR2C
small proline-rich protein 2C
Uterus
16.48


102805_at
CEACAM1
CEA-related cell adhesion molecule 1
Uterus
16


98064_at
GLYCAM1
glycosylation dependent cell adhesion molecule 1
Uterus
15.46


AFFX-
GAPDH5_Mm_AFFX
Glyceraldehyde-3-phospate dehydrogenase 5′ control
Uterus
15.2


GapdhMur/

sequence (M. musculus) [AFFX]


M32599_5


at


AFFX-
GAPDH5_Mm_AFFX
Glyceraldehyde-3-phospate dehydrogenase 5′ control
Uterus
15.2


GapdhMur/

sequence (M. musculus) [AFFX]


M32599_5


at


AFFX-
GAPDH5_Mm_AFFX
Glyceraldehyde-3-phospate dehydrogenase 5′ control
Uterus
15.2


GapdhMur/

sequence (M. musculus) [AFFX]


M32599_5


at


96605_at
UNK_AI787183
ESTs, Weakly similar to AF1154269_1 LR8 [M. musculus]
Uterus
14.98


102806_g_at
CEACAM1
CEA-related cell adhesion molecule 1
Uterus
14.48


93860_i_at
UNK_M17327
Mouse endogenous murine leukemia virus modified polytropic
Uterus
13.83




provirus DNA, complete cds


101707_at
ALDH1A7
alcohol dehydrogenase family 1, subfamily A7
Uterus
13.63


104486_at
UNK_AI850558
ESTs, Highly similar to ALPHA-2-MACROGLOBULIN
Uterus
13.29




PRECURSOR [Homo sapiens]


98423_at
GJB2
gap junction membrane channel protein beta 2
Uterus
12.6


104182_at
HGFAC
hepatocyte growth factor activator
Uterus
12


94789_r_at
TUBB5
tubulin, beta 5
Uterus
11.55


98822_at
ISG15
interferon-stimulated protein (15 kDa)
Uterus
11.5


97826_at
UNK_AI465965
ESTs, Weakly similar to IgG Fc binding protein [M. musculus]
Uterus
10.95


100026_at
BCAT1
branched chain aminotransferase 1, cytosolic
Uterus
10.35


102316_at
CAPN5
calpain 5
Uterus
10.01


98092_at
D5WSU111E
DNA segment, Chr 5, Wayne State University 111, expressed
Uterus
9.77


102918_at
MUC1
mucin 1, transmembrane
Uterus
9.74


97173_f_at
H2-K2
histocompatibility 2, K region locus 2
Uterus
9.71


93497_at
C3
complement component 3
Uterus
9.63


93517_at
COL6A2
procollagen, type VI, alpha 2
Uterus
9.57


92796_at
AKP2
alkaline phosphatase 2, liver
Uterus
9.36


103824_at
WFS1
Wolfram syndrome 1 homolog (human)
Uterus
9.15


99378_f_at
UNK_M18837
Mouse MHC class I Q4 beta-2-microglobulin (Qb-1) gene,
Uterus
8.9




complete cds


99561_f_at
CLDN7
claudin 7
Uterus
8.84


94305_at
COLA1
procollagen, type I, alpha 1
Uterus
8.78


92223_at
C1QC
complement component 1, q subcomponent, c polypeptide
Uterus
8.63


100134_at
ENG
endoglin
Uterus
8.53


92550_at
KRT1-19
keratin complex 1, acidic, gene 19
Uterus
8.53


103905_at
UNK_AI314958
ESTs, Highly similar to CARBONIC ANHYDRASE VI [Ovisaries]
Uterus
8.44


93285_at
UNK_AI845584
ESTs, Highly similar to DUS6_RAT DUAL SPECIFICITY
Uterus
8.39




PROTEIN PHOSPHATASE 6 [R. norvegicus]


92777_at
CYR61
cysteine rich protein 61
Uterus
8.3


97819_at
GSTTL-PENDING
glutathione S-transferase like
Uterus
8.12


93479_at
UNK_AW122413
Cluster Incl AW122413: UI-M-BH2.2-aow-f-03-0-UI.s1 Mus
Uterus
7.99





musculus cDNA, 3′ end/clone = UI-M-BH2.2-aow-f-03-0-UI/





clone_end = 3′/gb = AW122413/gi = 6097916/ug = Mm.7113/




len = 470/STRA = rev


104099_at
PGLYRP
peptidoglycan recognition protein
Uterus
7.98


97507_at
PPICAP
peptidylprolyl isomerase C-associated protein
Uterus
7.86


94876_f_at
UNK_AI849207
ESTs, Weakly similar to AF218940_1 formin-2 [M. musculus]
Uterus
7.77


96911_at
GNB2
guanine nucleotide binding protein, beta 2
Uterus
7.56


92608_at
CSRP
cysteine rich protein
Uterus
7.56


94269_at
RABAC1
Rab acceptor 1 (prenylated)
Uterus
7.46


93861_f_at
UNK_M17327
Mouse endogenous murine leukemia virus modified polytropic
Uterus
7.39




provirus DNA, complete cds


101110_at
COL6A3
procollagen, type VI, alpha 3
Uterus
7.37


93974_at
33 POLYPEPTIDE□
ESTs, Highly similar to G33_RAT GENE 33 POLYPEPTIDE□
Uterus
7.34



[R. NORVEGICUS]
[R. norvegicus]


98758_at
ALOX15
arachidonate 15-lipoxygenase
Uterus
7.33


99379_f_at
UNK_M27034
Mouse MHC class I D-region cell surface antigen (D2d) gene,
Uterus
7.23




complete cds


93078_at
LY6
lymphocyte antigen 6 complex
Uterus
7.17


93290_at
PNP
purine-nucleoside phosphorylase
Uterus
7.12


101979_at
GADD45G
growth arrest and DNA-damage-inducible 45 gamma
Uterus
7.06


99452_at
LISCH7-PENDING
liver-specific bHLH-Zip transcription factor
Uterus
7


94274_at
PFDN5
prefoldin 5
Uterus
6.97


92880_at
MFGE8
milk fat globule-EGF factor 8 protein
Uterus
6.95


101294_g_at
G6PD2
glucose-6-phosphate dehydrogenase 2
Uterus
6.95


92759_at
LAMB3
laminin, beta 3
Uterus
6.88


92585_at
MAP2K1
mitogen activated protein kinase kinase 1
Uterus
6.86


95232_at
HNRPL
heterogeneous nuclear ribonucleoprotein L
Uterus
6.79


104410_at
MIDN-PENDING
midnolin
Uterus
6.75


96075_at
WDR1
WD repeat domain 1
Uterus
6.71


95631_at
PPP4C
protein phosphatase 4, catalytic subunit
Uterus
6.68


100412_g_at
AEBP1
AE-binding protein 1
Uterus
6.67


96634_at
UNK_AI850090
ESTs, Weakly similar to cDNA EST EMBL: C07816 comes from
Uterus
6.65




this gene [C. elegans]


97282_at
MELA
melanoma antigen, 80 kDa
Uterus
6.6


98511_at
RALY
hnRNP-associated with lethal yellow
Uterus
6.55


94199_at
KAP
kidney androgen regulated protein
Uterus
6.45


93818_g_at
RNP24-PENDING
coated vesicle membrane protein
Uterus
6.32


98331_at
COL3A1
procollagen, type III, alpha 1
Uterus
6.29


92642_at
CAR2
carbonic anhydrase 2
Uterus
6.28


103278_at
PDI4
peptidyl arginine deiminase, type IV
Uterus
6.23


101542_f_at
DDX3
DEAD (aspartate-glutamate-alanine-aspartate) box polypeptide 3
Uterus
6.23


93793_at
LASP1
LIM and SH3 protein 1
Uterus
6.17


94817_at
SERPINH1
serine (or cysteine) proteinase inhibitor, clade H (heat shock
Uterus
6.06




protein 47), member 1


99569_at
KRT2-18
keratin complex 2, basic, gene 18
Uterus
6.04


95705_s_at
ACTX
melanoma X-actin
Uterus
5.94


92368_at
RAMP3
receptor (calcitonin) activity modifying protein 3
Uterus
5.93


102292_at
GADD45A
growth arrest and DNA-damage-inducible 45 alpha
Uterus
5.93


94384_at
IER3
immediate early response 3
Uterus
5.84


103438_at
DIO2
deiodinase, iodothyronine, type II
Uterus
5.83


97882_at
SEC61A
SEC61, alpha subunit (S. cerevisiae)
Uterus
5.81


93574_at
PEDF
pigment epithelium-derived factor
Uterus
5.81


99622_at
KLF4
Kruppel-like factor 4 (gut)
Uterus
5.74


100981_at
IFIT1
interferon-induced protein with tetratricopeptide repeats 1
Uterus
5.74


99645_at
UNK_AW048484
Cluster Incl AW048484: UI-M-BH1-alj-d-10-0-UI.s1 Mus
Uterus
5.67





musculus cDNA, 3′ end/clone = UI-M-BH1-alj-d-10-0-UI/





clone_end = 3′/gb = AW048484/gi = 5909018/ug = Mm.43640/




len = 458/STRA = for


95444_at
UNK_AW122274
ESTs, Weakly similar to CG1534 gene product
Uterus
5.67




[D. melanogaster]


99931_at
LAMA5
laminin, alpha 5
Uterus
5.66


100130_at
JUN
Jun oncogene
Uterus
5.64


100618_f_at
SLC25A5
solute carrier family 25 (mitochondrial carrier; adenine
Uterus
5.64




nucleotide translocator), member 5


101929_at
UNK_AI836322
Cluster Incl AI836322: UI-M-AQ0-aag-a-02-0-UI.s2 Mus
Uterus
5.63





musculus cDNA, 3′ end/clone = UI-M-AQ0-aag-a-02-0-UI/





clone_end = 3′/gb = AI836322/gi = 5470530/ug = Mm.939/




len = 211/STRA = for


100609_at
UNK_AF049850
Cluster Incl AF049850: Mus musculus major histocompatibility
Uterus
5.58




locus class III region-complement C4 (C4) and cytochrome




P450 hydroxylase A (CYP21OH-A) genes, complete cds; slp




pseudogene, complete sequence; NG6, SKI, and complement




factor B (Bf) genes, comp


95637_at
UNK_AI838592
ESTs, Moderately similar to ENDOTHELIAL ACTIN-BINDING
Uterus
5.46




PROTEIN [Homo sapiens]


101367_at
DCTN1
dynactin 1
Uterus
5.42


101681_f_at
H2-BL
histocompatibility 2, blastocyst
Uterus
5.24


100557_g_at
UNK_AW121930
ESTs, Highly similar to EUKARYOTIC INITIATION FACTOR
Uterus
5.21




4B [Homo sapiens]


93985_at
UNK_AW120868
ESTs, Highly similar to hypothetical protein [H. sapiens]
Uterus
5.18


92851_at
CP
ceruloplasmin
Uterus
5.14


99109_at
IER2
immediate early response 2
Uterus
5.13


99632_at
MAD2L1
MAD2 (mitotic arrest deficient, homolog)-like 1 (yeast)
Uterus
5.13


94307_at
FBLN1
fibulin 1
Uterus
5.1


92232_at
CISH3
cytokine inducible SH2-containing protein 3
Uterus
5.09


92611_at
GPIAP-PENDING
GPI-anchored membrane protein 1
Uterus
5.07


104333_at
D17H6S56E-5
DNA segment, Chr 17, human D6S56E 5
Uterus
5.07


101016_at
ARF1
ADP-ribosylation factor 1
Uterus
5.06


103460_at
UNK_AI849939
ESTs, Moderately similar to unnamed protein product
Uterus
5.05




[H. sapiens]


94309_g_at
FBLN1
fibulin 1
Uterus
4.95


99927_at
CFI
complement component factor I
Uterus
4.94


96278_at
UNK_AI846553
ESTs, Weakly similar to DIA1_MOUSE DIAPHANOUS
Uterus
4.84




PROTEIN HOMOLOG 1 [M. musculus]


103345_at
UNK_AW046708
ESTs, Highly similar to SPECTRIN ALPHA CHAIN, NON-
Uterus
4.83




ERYTHROID [Rattus norvegicus]


95794_f_at
SPRR2I
small proline-rich protein 2I
Uterus
4.83


101908_s_at
CEACAM2
CEA-related cell adhesion molecule 2
Uterus
4.8


104144_at
GTPBP2
GTP binding protein 2
Uterus
4.8


102362_i_at
JUNB
Jun-B oncogene
Uterus
4.79


AFFX-
GAPDHM_Mm_AFFX
Glyceraldehyde-3-phospate dehydrogenase middle control
Uterus
4.79


GapdhMur/

sequence (M. musculus) [AFFX]


M32599_M_at


AFFX-
GAPDHM_Mm_AFFX
Glyceraldehyde-3-phospate dehydrogenase middle control
Uterus
4.79


GapdhMur/

sequence (M. musculus) [AFFX]


M32599_M_at


AFFX-
GAPDHM_Mm_AFFX
Glyceraldehyde-3-phospate dehydrogenase middle control
Uterus
4.79


GapdhMur/

sequence (M. musculus) [AFFX]


M32599_M_at


94246_at
ETS2
E26 avian leukemia oncogene 2, 3′ domain
Uterus
4.78


98930_at
COPE
coatomer protein complex, subunit epsilon
Uterus
4.76


98928_at
CORO1B
coronin, actin binding protein 1B
Uterus
4.76


94821_at
XBP1
X-box binding protein 1
Uterus
4.69


95708_at
D3UCLA1
DNA segment, Chr 3, University of California at Los Angeles 1
Uterus
4.66


96284_at
UNK_AW121446
ESTs, Moderately similar to CASEIN KINASE I, GAMMA
Uterus
4.64




ISOFORM [Bos taurus]


104279_at
UNK_AW125116
ESTs, Highly similar to DNA-DIRECTED RNA POLYMERASE
Uterus
4.62




II 14.4 KD POLYPEPTIDE [Homo sapiens; Cricetulus griseus]


93541_at
TAGLN
transgelin
Uterus
4.62


93798_at
LDH1
lactate dehydrogenase 1, A chain
Uterus
4.61


99926_at
PIGR
polymeric immunoglobulin receptor
Uterus
4.61


99338_at
UNK_AA674798
ESTs, Highly similar to TIP120 [R. norvegicus]
Uterus
4.6


93066_at
GRN
granulin
Uterus
4.6


99366_at
UNK_AI553536
Cluster Incl AI553536: vw39e06.x1 Mus musculus cDNA, 3′ end/
Uterus
4.58




clone = IMAGE-1246210/clone_end = 3′/gb = AI553536/




gi = 4485899/ug = Mm.5675/len = 408/STRA = rev


103556_at
UNK_AI840158
Cluster Incl AI840158: UI-M-AO0-acc-d-08-0-UI.s1 Mus
Uterus
4.55





musculus cDNA, 3′ end/clone = UI-M-AO0-acc-d-08-0-UI/





clone_end = 3′/gb = AI840158/gi = 5474371/ug = Mm.19081/




len = 406/STRA = for


101095_at
MFAP2
microfibrillar-associated protein 2
Uterus
4.53


100323_at
AMD2
S-adenosylmethionine decarboxylase 2
Uterus
4.5


102161_f_at
H2-Q2
histocompatibility 2, Q region locus 2
Uterus
4.5


101955_at
HSPA5
heat shock 70 kD protein 5 (glucose-regulated protein, 78 kD)
Uterus
4.49


95654_at
UNK_AF109905
Cluster Incl AF109905: Mus musculus major histocompatibility
Uterus
4.49




locus class III regions Hsc70t gene, partial cds; smRNP, G7A,




NG23, MutS homolog, CLCP, NG24, NG25, and NG26 genes,




complete cds; and unknown genes/cds = (0,725)/gb = AF109905/




gi = 3986751/ug = Mm.29


98107_at
UNK_AW123801
Cluster Incl AW123801: UI-M-BH2.1-apm-e-08-0-UI.s1 Mus
Uterus
4.48





musculus cDNA, 3′ end/clone = UI-M-BH2.1-apm-e-08-0-UI/





clone_end = 3′/gb = AW123801/gi = 6099331/ug = Mm.34796/




len = 367/STRA = for


92925_at
CEBPB
CCAAT/enhancer binding protein (C/EBP), beta
Uterus
4.47


92625_at
NME2
expressed in non-metastatic cells 2, protein (NM23B)
Uterus
4.46




(nucleoside diphosphate kinase)


96283_at
ITM3-PENDING
integral membrane protein 3
Uterus
4.43


97809_at
UNK_AF109906
Cluster Incl AF109906: Mus musculus MHC class III region RD
Uterus
4.4




gene, partial cds; Bf, C2, G9A, NG22, G9, HSP70, HSP70,




HSC70t, and smRNP genes, complete cds; G7A gene, partial




cds; and unknown genes/cds = (0,3002)/gb = AF109906/




gi = 3986763/ug = Mm.28155/len = 300


103709_at
UNK_AA763466
Cluster Incl AA763466: vw54f05.r1 Mus musculus cDNA, 5′ end/
Uterus
4.37




clone = IMAGE-1247649/clone_end = 5′/gb = AA763466/




gi = 2813213/ug = Mm.24093/len = 379/STRA = for


98562_at
C1QA
complement component 1, q subcomponent, alpha polypeptide
Uterus
4.37


92644_s_at
MYB
myeloblastosis oncogene
Uterus
4.37


99624_at
RPL5
ribosomal protein L5
Uterus
4.33


104093_at
LSP1
lymphocyte specific 1
Uterus
4.31


99942_s_at
CNN1
calponin 1
Uterus
4.31


101055_at
PPGB
protective protein for beta-galactosidase
Uterus
4.3


100059_at
CYBA
cytochrome b-245, alpha polypeptide
Uterus
4.29


94868_at
UNK_AW049812
ESTs, Highly similar to GLUTAMINYL-TRNA SYNTHETASE
Uterus
4.28




[Homo sapiens]


93751_at
UNK_AW048157
ESTs, Highly similar to PROBABLE UBIQUITIN CARBOXYL-
Uterus
4.27




TERMINAL HYDROLASE [Mus musculus]


101061_at
UNK_AI845293
ESTs, Highly similar to TRANSLOCON-ASSOCIATED
Uterus
4.26




PROTEIN, BETA SUBUNIT PRECURSOR [Homo sapiens]


101916_at
DHCR7
7-dehydrocholesterol reductase
Uterus
4.25


93327_at
UNK_AI842665
ESTs, Highly similar to HYPOTHETICAL 13.5 KD PROTEIN
Uterus
4.25




C45G9.7 IN CHROMOSOME III [Caenorhabditis elegans]


102968_at
GGTLA1
gamma-glutamyltransferase-like activity 1
Uterus
4.24


99106_at
COPS6
COP9 (constitutive photomorphogenic), subunit 6 (Arabidopsis)
Uterus
4.22


97160_at
SPARC
secreted acidic cysteine rich glycoprotein
Uterus
4.22


96943_at
UNK_AW125234
ESTs, Highly similar to FUSCA PROTEIN FUS6 [Arabidopsis
Uterus
4.2





thaliana]



97320_at
UNK_AI842734
ESTs, Weakly similar to KE4_MOUSE HISTIDINE-RICH
Uterus
4.18




PROTEIN KE4□ [M. musculus]


96353_at
UNK_AW125346
ESTs, Moderately similar to AF151028_1 HSPC194
Uterus
4.17




[H. sapiens]


94854_g_at
GNB1
guanine nucleotide binding protein, beta 1
Uterus
4.15


97894_at
UNK_AF109905
Cluster Incl AF109905: Mus musculus major histocompatibility
Uterus
4.14




locus class III regions Hsc70t gene, partial cds; smRNP, G7A,




NG23, MutS homolog, CLCP, NG24, NG25, and NG26 genes,




complete cds; and unknown genes/cds = (0,3791)/




gb = AF109905/gi = 3986751/ug = Mm.2


93390_g_at
PROM
prominin
Uterus
4.13


103429_i_at
UNK_AW125330
ESTs, Moderately similar to unnamed protein product
Uterus
4.1




[H. sapiens]


96186_at
UNK_AI839286
ESTs, Moderately similar to Unknown [H. sapiens]
Uterus
4.09


103335_at
LGALS9
lectin, galactose binding, soluble 9
Uterus
4.07


101393_at
ANXA3
annexin A3
Uterus
4.07


93389_at
PROM
prominin
Uterus
4.06


103888_at
RBPMS
RNA-blnding protein gene with multiple splicing
Uterus
4.06


96258_at
D13ERTD372E
DNA segment, Chr 13, ERATO Doi 372, expressed
Uterus
4.03


95161_at
D10ERTD73E
DNA segment, Chr 10, ERATO Doi 73, expressed
Uterus
4.03


96869_at
GABARAP
gamma-aminobutyric acid receptor associated protein
Uterus
4.02


101558_s_at
PSMB5
proteasome (prosome, macropain) subunit, beta type 5
Uterus
4


96883_at
EIF3S4
eukaryotic translation initiation factor 3, subunit 4 (delta, 44 kDa)
Uterus
3.98


99549_at
OGN
osteoglycin
Uterus
3.95


101781_f_at
UNK_V00754
HISTONE H3.4
Uterus
3.95


93975_at
33 POLYPEPTIDE□
ESTs, Highly similar to G33_RAT GENE 33 POLYPEPTIDE□
Uterus
3.91



[R. NORVEGICUS]
[R. norvegicus]


92930_at
DLX5
distal-less homeobox 5
Uterus
3.91


95462_at
UNK_AW060951
ESTs, Highly similar to unknown [R. norvegicus]
Uterus
3.9


102791_at
PSMB8
proteosome (prosome, macropain) subunit, beta type 8 (large
Uterus
3.89




multifunctional protease 7)


95215_f_at
UBC
ubiquitin C
Uterus
3.89


92850_at
UNK_AI836446
ESTs, Moderately similar to KIAA1398 protein [H. sapiens]
Uterus
3.88


100332_s_at
PRDX5-RS3
peroxiredoxin 5, related sequence 3
Uterus
3.87


100561_at
IQGAP1
IQ motif containing GTPase activating protein 1
Uterus
3.84


98446_s_at
EPHB4
Eph receptor B4
Uterus
3.82


100771_at
LY57
lymphocyte antigen 57
Uterus
3.81


103547_at
UNK_AI837116
Cluster Incl AI837116: UI-M-AK0-adc-e-09-0-UI.s1 Mus
Uterus
3.81





musculus cDNA, 3′ end/clone = UI-M-AK0-adc-e-09-0-UI/





clone_end = 3′/gb = AI837116/gi = 5471329/ug = Mm.23723/




len = 323/STRA = rev


104365_at
SCAMP2
secretory carrier membrane protein 2
Uterus
3.8


93496_at
UNK_AI852098
ESTs, Weakly similar to AF104033_1 MUEL protein
Uterus
3.79




[M. musculus]


100970_at
AKT
thymoma viral proto-oncogene
Uterus
3.79


96318_at
D17WSU104E
DNA segment, Chr 17, Wayne State University 104, expressed
Uterus
3.78


93430_at
CMKOR1
chemokine orphan receptor 1
Uterus
3.75


92882_at
RAB1
RAB1, member RAS oncogene family
Uterus
3.74


97824_at
D11ERTD175E
DNA segment, Chr 11, ERATO Doi 175, expressed
Uterus
3.72


99991_at
IL17R
interleukin 17 receptor
Uterus
3.72


100684_at
PRKCSH
protein kinase C substrate 80K-H
Uterus
3.72


96935_at
UNK_AW011791
ESTs, Moderately similar to epithelial protein up-regulated in
Uterus
3.71




carcinoma [H. sapiens]


93500_at
ALAS1
aminolevulinic acid synthase 1
Uterus
3.69


100554_at
PDLIM1
PDZ and LIM domain 1 (elfin)
Uterus
3.67


94105_at
CDC42
cell division cycle 42 homolog (S. cerevisiae)
Uterus
3.66


101486_at
PSMB10
proteasome (prosome, macropain) subunit, beta type 10
Uterus
3.66


96155_at
UNK_AW049359
ESTs, Highly similar to AF177476_1 CDK5 activator-binding
Uterus
3.65




protein [R. norvegicus]


99475_at
CISH2
cytokine inducible SH2-containing protein 2
Uterus
3.64


102767_at
AA536815
EST AA536815
Uterus
3.64


104315_at
UNK_AI846773
Cluster Incl AI846773: UI-M-AO1-ael-f-02-0-UI.s1 Mus
Uterus
3.64





musculus cDNA, 3′ end/clone = UI-M-AO1-ael-f-02-0-UI/





clone_end = 3′/gb = AI846773/gi = 5490679/ug = Mm.22413/




len = 322/STRA = for


104389_at
UNK_AW049360
ESTs, Weakly similar to T17295 hypothetical protein
Uterus
3.63




DKFZp434H132.1 - human [H. sapiens]


93833_s_at
UNK_X05862
Cluster Incl X05862: Mouse H2B and H2A histone genes
Uterus
3.61




(291A)/cds = (0,380)/gb = X05862/gi = 51302/ug = Mm.21579




/len = 381/STRA = for


101881_g_at
COL18A1
procollagen, type XVIII, alpha 1
Uterus
3.61


100569_at
ANXA2
annexin A2
Uterus
3.6


94561_at
UNK_AI836140

Mus musculus epithelial protein lost in neoplasm-a (Eplin)

Uterus
3.59




mRNA, complete cds


95608_at
CTSB
cathepsin B
Uterus
3.57


96709_at
UNK_AI839839
ESTs, Highly similar to EST00098 protein [H. sapiens]
Uterus
3.57


93102_f_at
ACTG2
actin, gamma 2, smooth muscle, enteric
Uterus
3.55


99477_at
GNG12
guanine nucleotide binding protein (G protein), gamma 12
Uterus
3.55


94237_at
D6WSU137E
DNA segment, Chr 6, Wayne State University 137, expressed
Uterus
3.55


98937_at
TBRG1
transforming growth factor beta regulated gene 1
Uterus
3.53


94503_at
UNK_AI842492
ESTs, Highly similar to RAS-RELATED PROTEIN RAB-8
Uterus
3.5




[Homo sapiens; Canis familiaris]


99019_at
POR
P450 (cytochrome) oxidoreductase
Uterus
3.49


104623_at
TLE3
transducin-like enhancer of split 3, homolog of Drosophila
Uterus
3.47




E(spl)


92866_at
H2-AA
histocompatibility 2, class II antigen A, alpha
Uterus
3.46


103200_at
UNK_AA711773
Cluster Incl AA711773: vu58g05.r1 Mus musculus cDNA, 5′ end/
Uterus
3.44




clone = IMAGE-1195640/clone_end = 5′/gb = AA711773/




gi = 2721691/ug = Mm.1902/len = 473/STRA = for


104100_at
UNK_AI845915
Cluster Incl AI845915: UI-M-AK1-aex-d-02-0-UI.s1 Mus
Uterus
3.42





musculus cDNA, 3′ end/clone = UI-M-AK1-aex-d-02-0-UI/





clone_end = 3′/gb = AI845915/gi = 5489821/ug = Mm.21864/




len = 208/STRA = for


94063_at
SEMA4A
sema domain, immunoglobulin domain (Ig), transmembrane
Uterus
3.42




domain (TM) and short cytoplasmic domain, (semaphorin) 4A


95752_at
UNK_AI837369
ESTs, Highly similar to unnamed protein product [H. sapiens]
Uterus
3.42


97409_at
IFI1
interferon inducible protein 1
Uterus
3.41


95749_at
UNK_AW122364
ESTs, Highly similar to ARGR_HUMAN ARGININE-RICH
Uterus
3.41




PROTEIN□ [H. sapiens]


104110_at
UNK_AW060515
Cluster Incl AW060515: UI-M-BH1-ann-d-07-0-UI.s1 Mus
Uterus
3.39





musculus cDNA, 3′ end/clone = UI-M-BH1-ann-d-07-0-UI/





clone_end = 3′/gb = AW060515/gi = 6008266/ug = Mm.21919/




len = 330/STRA = for


99101_at
EIF3S7
eIF3 p66
Uterus
3.39


94966_at
G6PDX
glucose-6-phosphate dehydrogenase X-linked
Uterus
3.38


92567_at
COL5A2
procollagen, type V, alpha 2
Uterus
3.37


103016_s_at
CD68
CD68 antigen
Uterus
3.36


AFFX-b-
BACTIN3_Mm_AFFX
Beta-actin 3′ control sequence (M. musculus) [AFFX]
Uterus
3.35


ActinMur/M


12481_3_at


AFFX-b-
BACTIN3_Mm_AFFX
Beta-actin 3′ control sequence (M. musculus) [AFFX]
Uterus
3.35


ActinMur/M


12481_3_at


AFFX-b-
BACTIN3_Mm_AFFX
Beta-actin 3′ control sequence (M. musculus) [AFFX]
Uterus
3.35


ActinMur/M


12481_3_at


96653_at
APP
amyloid beta (A4) precursor protein
Uterus
3.35


99872_s_at
FTL1
ferritin light chain 1
Uterus
3.34


97125_f_at
LOC56628
MHC (A.CA/J(H-2K-f) class I antigen
Uterus
3.33


94288_at
HIS1A
histone H1
Uterus
3.32


93276_at
HN1
hematological and neurological expressed sequence 1
Uterus
3.29


93071_at
TIF1B
transcriptional intermediary factor 1, beta
Uterus
3.28


99032_at
RASD1
RAS, dexamethasone-induced 1
Uterus
3.27


100428_at
LAMC2
laminin, gamma 2
Uterus
3.25


103708_at
UNK_AI132207
Cluster Incl AI132207: ue28g02.x1 Mus musculus cDNA, 3′ end/
Uterus
3.23




clone = IMAGE-1481714/clone_end = 3′/gb = AI132207/




gi = 3602223/ug = Mm.24090/len = 450/STRA = for


96693_at
UNK_AI849453
ESTs, Highly similar to ARGINYL-TRNA SYNTHETASE
Uterus
3.23




[Cricetulus longicaudatus]


94831_at
CTSB
cathepsin B
Uterus
3.2


95493_at
COL6A1
procollagen, type VI, alpha 1
Uterus
3.2


99562_at
MAN2B1
mannosidase 2, alpha B1
Uterus
3.2


101487_f_at
LY6E
lymphocyte antigen 6 complex, locus E
Uterus
3.18


100081_at
STIP1
stress-induced phosphoprotein 1
Uterus
3.18


94061_at
CRIP
cysteine rich intestinal protein
Uterus
3.18


101060_at
GRP58
glucose regulated protein, 58 kDa
Uterus
3.16


98522_at
PSMD8
proteasome (prosome, macropain) 26S subunit, non-ATPase, 8
Uterus
3.16


101834_at
MAPK3
mitogen activated protein kinase 3
Uterus
3.14


96657_at
SAT
spermidine/spermine N1-acetyl transferase
Uterus
3.14


92632_at
UNK_AI842328

Mus musculus calmodulin III (Calm3) mRNA, 3′ untranslated

Uterus
3.12




region


99992_at
UNK_AI286698
ESTs, Highly similar to interleukin 17 receptor□ [M. musculus]
Uterus
3.12


94282_at
ASAH1
N-acylsphingosine amidohydrolase 1
Uterus
3.11


94788_f_at
TUBB5
tubulin, beta 5
Uterus
3.11


103398_at
UNK_AW123232
Cluster Incl AW123232: UI-M-BH2.1-apd-g-08-0-UI.s1 Mus
Uterus
3.1





musculus cDNA, 3′ end/clone = UI-M-BH2.1-apd-g-08-0-UI/





clone_end = 3′/gb = AW123232/gi = 6098727/ug = Mm.18714/




len = 469/STRA = rev


95149_at
COPZ1
coatomer protein complex, subunit zeta 1
Uterus
3.1


103891_i_at
UNK_AI197161
ESTs, Moderately similar to ELL2_HUMAN RNA
Uterus
3.09




POLYMERASE II ELONGATION FACTOR ELL2□ [H. sapiens]


98104_at
UNK_AI842889
ESTs, Highly similar to PROTEOLIPID PROTEIN PPA1
Uterus
3.08




[Saccharomyces cerevisiae]


102916_s_at
CREBL1
cAMP responsive element binding protein-like 1
Uterus
3.08


101591_at
UNK_AI852589
ESTs, Highly similar to HYPOTHETICAL PROTEIN
Uterus
3.07




C22G7.01C IN CHROMOSOME I [Schizosaccharomyces





pombe]



100949_at
UNK_AI461767
ESTs, Weakly similar to hypothetical protein [H. sapiens]
Uterus
3.05


96573_at
ACTG
actin, gamma, cytoplasmic
Uterus
3.04


100948_at
D15ERTD221E
DNA segment, Chr 15, ERATO Doi 221, expressed
Uterus
3.03


101754_f_at
SPRR2G
small proline-rich protein 2G
Uterus
3.02


97829_at
UNK_AI838053
ESTs, Highly similar to phosphatidylinositol synthase
Uterus
3.02




[R. norvegicus]


101886_f_at
H2-L
histocompatibility 2, L region
Uterus
3.01


99067_at
GAS6
growth arrest specific 6
Uterus
3


101571_g_at
IGFBP4
insulin-like growth factor binding protein 4
Uterus
3


100998_at
H2-AB1
histocompatibility 2, class II antigen A, beta 1
Uterus
3


96135_at
UNK_AA833425
ESTs, Highly similar to AF161398_1 HSPC280 [H. sapiens]
Uterus
2.99


101105_at
BCRP1-PENDING
breakpoint cluster region protein 1
Uterus
2.97


96024_at
AHCY
S-adenosylhomocysteine hydrolase
Uterus
2.96


100496_at
PAM
peptidylglycine alpha-amidating monooxygenase
Uterus
2.95


103755_at
SH3D19
SH3 domain protein D19
Uterus
2.95


97817_at
SPEC1-PENDING
small protein effector 1 of Cdc42
Uterus
2.95


98543_at
CTSS
cathepsin S
Uterus
2.95


93548_at
UNK_AW122942
ESTs, Highly similar to PROTEIN TRANSPORT PROTEIN
Uterus
2.94




SEC61 BETA SUBUNIT [Homo sapiens; Canis familiaris]


97197_r_at
UNK_C78850
Mouse (AKR/J) endogenous retrovirus, clone A-12, pol-env
Uterus
2.93




region


102370_at
UNK_AA822174
Cluster Incl AA822174: vp36a09.r1 Mus musculus cDNA, 5′ end/
Uterus
2.91




clone = IMAGE-1078744/clone_end = 5′/gb = AA822174/




gi = 2892042/ug = Mm.1187/len = 329/STRA = for


97559_at
EEF2
eukaryotic translation elongation factor 2
Uterus
2.9


96732_at
UNK_AI851081
ESTs, Highly similar to T17338 hypothetical protein
Uterus
2.89




DKFZp434O125.1 - human [H. sapiens]


92450_at
SLC12A4
solute carrier family 12, member 4
Uterus
2.88


93126_at
CKB
creatine kinase, brain
Uterus
2.87


98417_at
MX1
myxovirus (influenza virus) resistance 1
Uterus
2.87


96360_at
UNK_AW125498
ESTs, Weakly similar to GDIS_MOUSE RHO GDP-
Uterus
2.86




DISSOCIATION INHIBITOR 2 [M. musculus]


96356_at
AF007010
EST AF007010
Uterus
2.84


95593_at
UNK_AW125446
Cluster Incl AW125446: UI-M-BH2.3-aqh-h-05-0-UI.s1 Mus
Uterus
2.84





musculus cDNA, 3′ end/clone = UI-M-BH2.3-aqh-h-05-0-UI/





clone_end = 3′/gb = AW125446/gi = 6100976/ug = Mm.27902/




len = 540/STRA = for


98405_at
SPI6
serine protease inhibitor 6
Uterus
2.84


102804_at
CEACAM1
CEA-related cell adhesion molecule 1
Uterus
2.83


92836_at
UNK_AA919594
Cluster Incl AA919594: vz22b07.r1 Mus musculus cDNA, 5′ end/
Uterus
2.83




clone = IMAGE-1316437/clone_end = 5′/gb = AA919594/




gi = 3066373/ug = Mm.13097/len = 222/STRA = for


100460_at
TSBP
TPR-containing, SH2-binding phosphoprotein
Uterus
2.83


100094_at
SUPT5H
suppressor of Ty 5 homolog (S. cerevisiae)
Uterus
2.82


100064_f_at
GJA1
gap junction membrane channel protein alpha 1
Uterus
2.81


96632_at
MRGX-PENDING
MORF-related gene X
Uterus
2.81


95721_at
MAPKAPK2
MAP kinase-activated protein kinase 2
Uterus
2.8


101948_at
LAMB1-1
laminin B1 subunit 1
Uterus
2.8


101959_r_at
TFDP1
transcription factor Dp 1
Uterus
2.79


97203_at
MLP
MARCKS-like protein
Uterus
2.77


97496_f_at
UNK_AW048944
ESTs, Weakly similar to polymerase I-transcript release factor
Uterus
2.76




[M. musculus]


101877_at
SLC31A1
solute carrier family 31, member 1
Uterus
2.76


104221_at
SLC7A5
solute carrier family 7 (cationic amino acid transporter, y+
Uterus
2.75




system), member 5


98019_at
TGFB1I1
transforming growth factor beta 1 induced transcript 1
Uterus
2.75


101510_at
PSME1
protease (prosome, macropain) 28 subunit, alpha
Uterus
2.74


96340_at
UNK_AW124185
ESTs, Highly similar to C214_HUMAN 17.9 KDA MEMBRANE
Uterus
2.74




PROTEIN C21ORF4□ [H. sapiens]


96761_at
UNK_AF109906
Cluster Incl AF109906: Mus musculus MHC class III region RD
Uterus
2.72




gene, partial cds; Bf, C2, G9A, NG22, G9, HSP70, HSP70,




HSC70t, and smRNP genes, complete cds; G7A gene, partial




cds; and unknown genes/cds = (0,2123)/gb = AF109906/




gi = 3986763/ug = Mm.29004/len = 212


102990_at
COL3A1
procollagen, type III, alpha 1
Uterus
2.72


94224_s_at
UNK_M74123

Mus musculus (strain C57BI/6) mRNA sequence

Uterus
2.71


100621_at
UNK_AI848825
ESTs, Highly similar to RIBONUCLEASE INHIBITOR [Rattus
Uterus
2.7





norvegicus]



102752_at
SHYC
selective hybridizing clone
Uterus
2.7


97013_f_at
CYBA
cytochrome b-245, alpha polypeptide
Uterus
2.68


104248_at
UNK_AW227650
ESTs, Highly similar to TRANSLOCON-ASSOCIATED
Uterus
2.68




PROTEIN, GAMMA SUBUNIT [Rattus norvegicus]


104701_at
STRA14
stimulated by retinoic acid 14
Uterus
2.68


103648_at
TACSTD2
tumor-associated calcium signal transducer 2
Uterus
2.67


99514_at
UNK_AI835443
ESTs, Highly similar to B-MYC TRANSFORMING PROTEIN
Uterus
2.67




[Rattus norvegicus]


97262_at
UNK_AW050305
ESTs, Highly similar to CASEIN KINASE I, DELTA ISOFORM
Uterus
2.66




[Homo sapiens]


95694_at
UNK_X70956

M. musculus TOP gene for topoisomerase I, exons 19-21

Uterus
2.66


101078_at
BSG
basigin
Uterus
2.64


95660_at
UNK_AI851815

Mus musculus HSCO mRNA, complete cds

Uterus
2.63


99993_at
ANPEP
alanyl (membrane) aminopeptidase (aminopeptidase N,
Uterus
2.63




aminopeptidase M, microsomal aminopeptidase, CD13, p150)


103494_at
UNK_AI047972
ESTs, Weakly similar to CD63_MOUSE CD63 ANTIGEN□
Uterus
2.63




[M. musculus]


94929_at
PTPN1
protein tyrosine phosphatase, non-receptor type 1
Uterus
2.6


100610_at
CAPN4
calpain 4
Uterus
2.6


97890_at
SGK
serum/glucocorticoid regulated kinase
Uterus
2.6


100889_at
UNK_AI838576
Cluster Incl AI838576: UI-M-AO0-abz-c-02-0-UI.s1 Mus
Uterus
2.59





musculus cDNA, 3′ end/clone = UI-M-AO0-abz-c-02-0-UI/





clone_end = 3′/gb = AI838576/gi = 5472789/ug = Mm.54120/




len = 181/STRA = rev


100475_at
ZFP147
zinc finger protein 147
Uterus
2.59


98946_at
WSB1
WSB-1
Uterus
2.59


96912_s_at
CTLA2A
cytotoxic T lymphocyte-associated protein 2 alpha
Uterus
2.58


96069_at
UNK_AI840094
ESTs, Highly similar to AFLATOXIN B1 ALDEHYDE
Uterus
2.57




REDUCTASE [Rattus norvegicus]


100723_f_at
SPRR2E
small proline-rich protein 2E
Uterus
2.57


93058_at
EIF1A
eukaryotic translation initiation factor 1A
Uterus
2.56


94301_at
ATP6K
ATPase, H+ transporting lysosomal (vacuolar proton pump),
Uterus
2.55




9.2 kDa


93680_at
STK10
serine/threonine kinase 10
Uterus
2.55


93499_at
CAPPA1
capping protein alpha 1
Uterus
2.55


100422_i_at
UNK_AJ237939
Cluster Incl AJ237939: Mus musculus partial STAT5B gene,
Uterus
2.53




exons 6-9/cds = (0,618)/gb = AJ237939/gi = 5689871/




ug = Mm.4697/len = 619/STRA = for


96333_g_at
UNK_AW259199
ESTs, Weakly similar to AF154120_1 sorting nexin 1
Uterus
2.53




[M. musculus]


103918_at
SLC15A2
solute carrier family 15 (H+/peptide transporter), member 2
Uterus
2.53


101982_at
VASP
vasodilator-stimulated phosphoprotein
Uterus
2.53


104155_f_at
ATF3
activating transcription factor 3
Uterus
2.53


96633_s_at
MRGX-PENDING
MORF-related gene X
Uterus
2.52


95397_at
UNK_AI852661
Cluster Incl AI852661: UI-M-BH0-aji-a-10-0-UI.s1 Mus
Uterus
2.5





musculus cDNA, 3′ end/clone = UI-M-BH0-aji-a-10-0-UI/





clone_end = 3′/gb = AI852661/gi = 5496567/ug = Mm.2388/




len = 297/STRA = for


92809_r_at
FKBP4
FK506 binding protein 4 (59 kDa)
Uterus
2.5


100136_at
LAMP2
lysosomal membrane glycoprotein 2
Uterus
2.5


93250_r_at
HMGB2
high mobility group box 2
Uterus
2.48


103551_at
AI428202
EST AI4282022
Uterus
2.48


100686_at
LLREP3
repeat family 3 gene
Uterus
2.46


92256_at
CTSB
cathepsin B
Uterus
2.46


92226_at
UNK_AA866971
ESTs, Moderately similar to hypothetical protein [H. sapiens]
Uterus
2.45


96056_at
ARHC
aplysia ras-related homolog 9 (RhoC)
Uterus
2.45


96920_at
PRSS11
insulin-like growth factor binding protein 5 protease
Uterus
2.44


101019_at
CTSC
cathepsin C
Uterus
2.44


100600_at
CD24A
CD24a antigen
Uterus
2.44


94915_at
PPIB
peptidylprolyl isomerase B
Uterus
2.44


93323_at
PLP2
proteolipid protein 2
Uterus
2.43


97386_at
UNK_AI853294
Cluster Incl AI853294: UI-M-BH0-aji-f-03-0-UI.s1 Mus musculus
Uterus
2.43




cDNA, 3′ end/clone = UI-M-BH0-aji-f-03-0-UI/clone_end = 3′/




gb = AI853294/gi = 5497200/ug = Mm.29789/len = 413/STRA = for


96939_at
TRRP2
transient receptor protein 2
Uterus
2.43


95683_g_at
DDB1
damage specific DNA binding protein 1 (127 kDa)
Uterus
2.42


104292_at
EYA2
eyes absent 2 homolog (Drosphila)
Uterus
2.42


104300_at
IQGAP1
IQ motif containing GTPase activating protein 1
Uterus
2.42


95120_at
UNK_AI837621
ESTs, Highly similar to tetraspan NET-6 [H. sapiens]
Uterus
2.41


98059_s_at
LMNA
lamin A
Uterus
2.4


93320_at
CPT1A
carnitine palmitoyltransferase 1, liver
Uterus
2.39


94260_at
UNK_AI850352
ESTs, Moderately similar to KIAA0731 protein [H. sapiens]
Uterus
2.39


94238_at
UNK_AW228316
ESTs, Highly similar to serine protease [H. sapiens]
Uterus
2.39


94206_at
UNK_AC002397
Cluster Incl AC002397: Mouse chromosome 6 BAC-284H12




(Research Genetics mouse BAC library) complete sequence/




cds = (108,488)/gb = AC002397/gi = 3287367/ug = Mm.22195/




len = 568/STRA = for


93336_at
UNK_AW121539
ESTs, Weakly similar to ENDOSOMAL P24B PROTEIN
Uterus
2.38




PRECURSOR [Saccharomyces cerevisiae]


94060_at
UNK_AI852623
ESTs, Weakly similar to Edp1 protein [M. musculus]
Uterus
2.38


94834_at
CTSH
cathepsin H
Uterus
2.37


101029_f_at
ACTC1
actin, alpha, cardiac
Uterus
2.37


100928_at
FBLN2
fibulin 2
Uterus
2.37


92769_at
TSTAP91A
tissue specific transplantation antigen P91A
Uterus
2.36


96829_at
D19WSU162E
DNA segment, Chr 19, Wayne State University 162, expressed
Uterus
2.36


93309_at
FIN14
fibroblast growth factor inducible 14
Uterus
2.36


101054_at
II
la-associated invariant chain
Uterus
2.35


94839_at
NUCB
nucleobindin
Uterus
2.35


98437_at
CASP3
caspase 3, apoptosis related cysteine protease
Uterus
2.34


98465_f_at
IFI204
interferon activated gene 204
Uterus
2.33


98463_at
REGULATOR
ESTs, Highly similar to HOMEOTIC GENE REGULATOR
Uterus
2.33



[DROSOPHILA
[Drosophila melanogaster]




MELANOGASTER]



103399_at
SCML1
sex comb on midleg-like 1 (Drosophila)
Uterus
2.32


94327_at
UNK_AW230209
ESTs, Moderately similar to unnamed protein product




[H. sapiens]
Uterus
2.31


96345_at
D2UCLA1
DNA segment, Chr 2, University of California at Los Angeles 1
Uterus
2.31


97751_f_at
UNK_AI835771
ESTs, Moderately similar to G3P_MOUSE
Uterus
2.3




GLYCERALDEHYDE 3-PHOSPHATE DEHYDROGENASE




[M. musculus]


101047_at
VIM
vimentin
Uterus
2.3


100772_g_at
LY57
lymphocyte antigen 57
Uterus
2.3


95128_at
NCOR2
nuclear receptor co-repressor 2
Uterus
2.29


93101_s_at
NEDD4
neural precursor cell expressed, developmentally down-
Uterus
2.29




regulated gene 4


99119_at
CFL1
cofilin 1, non-muscle
Uterus
2.29


103341_at
CTPS
cytidine 5′-triphosphate synthase
Uterus
2.28


92603_at
ATP6D
ATPase, H+ transporting, lysosomal (vacuolar proton pump),
Uterus
2.28




42 kDa


96708_at
UNK_AW120643
ESTs, Highly similar to COP-COATED VESICLE MEMBRANE
Uterus
2.28




PROTEIN P24 PRECURSOR [Cricetulus griseus]


99100_at
STAT3
signal transducer and activator of transcription 3
Uterus
2.28


95105_at
UNK_AI847697
ESTs, Weakly similar to AF077034_1 HSPC010 [H. sapiens]
Uterus
2.27


95142_s_at
CAPPB1
capping protein beta 1
Uterus
2.27


94522_at
DCTN3
dynactin 3
Uterus
2.26


98472_at
H2-T23
histocompatibility 2, T region locus 23
Uterus
2.24


96025_g_at
AHCY
S-adenosylhomocysteine hydrolase
Uterus
2.24


97689_at
F3
coagulation factor III
Uterus
2.23


104533_at
UNK_AA764261
ESTs, Weakly similar to myelin transcription factor 1-like
Uterus
2.23




[M. musculus]


104669_at
IRF7
interferon regulatory factor 7
Uterus
2.21


97885_at
1810009M01RIK
RIKEN cDNA 1810009M01 gene
Uterus
2.21


92616_at
UBE1X
ubiquitin-activating enzyme E1, Chr X
Uterus
2.21


93046_at
NUP50
nucleoprotein 50
Uterus
2.2


98608_at
D6ERTD109E
DNA segment, Chr 6, ERATO Doi 109, expressed
Uterus
2.19


92909_at
PGF
placental growth factor
Uterus
2.19


101009_at
KRT2-8
keratin complex 2, basic, gene 8
Uterus
2.19


100154_at
D17WSU91E
DNA segment, Chr 17, Wayne State University 91, expressed
Uterus
2.19


96658_at
UNK_AI841906
Cluster Incl AI841906: UI-M-AO0-acd-e-10-0-UI.s1 Mus
Uterus
2.18





musculus cDNA, 3′ end/clone = UI-M-AO0-acd-e-10-0-UI/





clone_end3′/gb = AI841906/gi = 5476119/ug = Mm.27344/




len = 417/STRA = for


94018_at
UBL3
ubiquitin-like 3
Uterus
2.18


98129_at
ESET
ERG-associated protein
Uterus
2.17


98498_at
CASP7
caspase 7
Uterus
2.17


94247_at
ETS2
E26 avian leukemia oncogene 2, 3′ domain
Uterus
2.16


100084_at
VIL2
villin 2
Uterus
2.15


93093_at
MCL1
myeloid cell leukemia sequence 1
Uterus
2.15


95109_at
UNK_AW121447
ESTs, Weakly similar to SIK similar protein [M. musculus]
Uterus
2.15


101963_at
CTSL
cathepsin L
Uterus
2.14


102821_s_at
RASL2-9
RAS-like, family 2, locus 9
Uterus
2.13


97240_g_at
D19ERTD721E
DNA segment, Chr 19, ERATO Doi 721, expressed
Uterus
2.13


94257_at
ARHGDIB
rho, GDP dissociation inhibitor (GDI) beta
Uterus
2.12


101543_f_at
TUBA6
tubulin alpha 6
Uterus
2.11


100720_at
PABPC1
poly A binding protein, cytoplasmic 1
Uterus
2.11


100566_at
IGFBP5
insulin-like growth factor binding protein 5
Uterus
2.1


95647_f_at
UNK_AI465845
ESTs, Moderately similar to unnamed protein product
Uterus
2.1




[H. sapiens]


94899_at
RHOIP3-PENDING
Rho interacting protein 3
Uterus
2.09


104716_at
RBP1
retinal binding protein 1, cellular
Uterus
2.08


96338_at
UNK_AW125059
ESTs, Weakly similar to A53770 growth factor-responsive
Uterus
2.08




protein, vascular smooth muscle - rat□ [R. norvegicus]


103350_at
PSMD7
proteasome (prosome, macropain) 26S subunit, non-ATPase, 7
Uterus
2.08


94040_at
ERH
enhancer of rudimentary homolog (Drosophila)
Uterus
2.08


104041_at
UNK_AW122255
ESTs, Moderately similar to T00076 hypothetical protein
Uterus
2.07




KIAA0462 - human [H. sapiens]


96834_at
UNK_AI843586
ESTs, Highly similar to PRE-MRNA SPLICING FACTOR SF2,
Uterus
2.07




P33 SUBUNIT [Homo sapiens]


103955_at
UNK_AW050325
ESTs, Highly similar to LAMBDA-CRYSTALLIN [Oryctolagus
Uterus
2.07





cuniculus]



93997_at
IFRG15
interferon alpha responsive protein (15 kDa)
Uterus
2.06


99985_at
TXNRD1
thioredoxin reductase 1
Uterus
2.06


104125_at
HA1R-PENDING
Hoxa1 regulated gene
Uterus
2.05


92816_r_at
EIF4A1
eukaryotic translation initiation factor 4A1
Uterus
2.05


98993_at
PPP2R5C
protein phosphatase 2, regulatory subunit B (B56), gamma
Uterus
2.04




isoform


98113_at
PSMB1
proteasome (prosome, macropain) subunit, beta type 1
Uterus
2.04


99566_at
TPI
triosephosphate isomerase
Uterus
2.04


101107_at
CALU
calumenin
Uterus
2.04


99599_s_at
UNK_AW210320
ESTs, Weakly similar to AF121217_1 pro-alpha-2(I) collagen
Uterus
2.03




[R. norvegicus]


96724_r_at
D17H6S56E-5
DNA segment, Chr 17, human D6S56E 5
Uterus
2.03


97994_at
TCF7
transcription factor 7, T-cell specific
Uterus
2.03


95102_at
UNK_AW123754
ESTs, Moderately similar to APB3_RAT AMYLOID BETA A4
Uterus
2.02




PRECURSOR PROTEIN-BINDING FAMILY A MEMBER 3




[R. norvegicus]


94454_at
PRTB
proline rich protein expressed in brain
Uterus
2.02


103059_at
FXYD3
FXYD domain-containing ion transport regulator 3
Uterus
2.02


93037_i_at
ANXA1
annexin A1
Uterus
2.01


104385_i_at
UNK_AI843901
Cluster Incl AI843901: UI-M-AK1-aeu-g-04-0-UI.s1 Mus
Uterus
2.01





musculus cDNA, 3′ end/clone = UI-M-AK1-aeu-g-04-0-UI/





clone_end = 3′/gb = AI843901/gi = 5478114/ug = Mm.227/




len = 300/STRA = for


93490_at
UNK_AI841771
ESTs, Weakly similar to contains similarity to Saccharomyces
Uterus
2





cerevisiae MAF1 protein [C. elegans]



95406_at
UNK_AW125347
Cluster Incl AW125347: UI-M-BH2.1-apy-h-03-0-UI.s1 Mus
Uterus
1.99





musculus cDNA, 3′ end/clone = UI-M-BH2.1-apy-h-03-0-UI/





clone_end = 3′/gb = AW125347/gi = 6100877/ug = Mm.24219/




len = 331/STRA = for


REPRESSIONS


93594_r_at
EMP3
epithelial membrane protein 3
Uterus
0.55


104235_at
VAMP2
vesicle-associated membrane protein 2
Uterus
0.54


97317_at
ENPP2
ectonucleotide pyrophosphatase/phosphodiesterase 2
Uterus
0.52


94813_at
GAS1
growth arrest specific 1
Uterus
0.51


95133_at
ASNS
asparagine synthetase
Uterus
0.48


103353_f_at
CYP4B1
cytochrome P450, subfamily IV B, polypeptide 1
Uterus
0.46


99577_at
KITL
kit ligand
Uterus
0.45


102395_at
PMP22
peripheral myelin protein, 22 kDa
Uterus
0.44


93013_at
IDB2
inhibitor of DNA binding 2
Uterus
0.44


101152_at
HTR5A
5-hydroxytryptamine (serotonin) receptor 5A
Uterus
0.41


92589_at
UNK_AI846545
ESTs, Highly similar to SERB_HUMAN L-3-PHOSPHOSERINE
Uterus
0.4




PHOSPHATASE [H. sapiens]


104217_at
UNK_AW045753
Cluster Incl AW045753: UI-M-BH1-akt-a-10-0-UI.s1 Mus
Uterus
0.39





musculus cDNA, 3′ end/clone = UI-M-BH1-akt-a-10-0-UI/





clone_end = 3′/gb = AW045753/gi = 5906282/ug = Mm.27893/




len = 407/STRA = rev


93503_at
SDF5
stromal cell derived factor 5
Uterus
0.38


96672_at
UNK_AW123564
ESTs, Weakly similar to S36166 paired box transcription factor
Uterus
0.38




Pax-6 - rat [R. norvegicus]


93543_f_at
GSTM1
glutathione S-transferase, mu 1
Uterus
0.36


93836_at
BNIP3
BCL2/adenovirus E1B 19 kDa-interacting protein 1, NIP3
Uterus
0.35


98575_at
FASN
fatty acid synthase
Uterus
0.33


99671_at
ADN
adipsin
Uterus
0.33


101990_at
LDH2
lactate dehydrogenase 2, B chain
Uterus
0.3


98588_at
FAH
fumarylacetoacetate hydrolase
Uterus
0.3


92592_at
GDC1
glycerol phosphate dehydrogenase 1, cytoplasmic adult
Uterus
0.3


104313_at
UNK_AI842432
ESTs, Moderately similar to PHOSPHOGLUCOMUTASE
Uterus
0.3




[Rattus norvegicus]


102094_f_at
GSTM1
glutathione S-transferase, mu 1
Uterus
0.3


92202_g_at
UNK_AI553024
ESTs, Highly similar to 2118318A promyelocyte leukemia Zn
Uterus
0.29




finger protein [M. musculus]


94056_at
SCD1
stearoyl-Coenzyme A desaturase 1
Uterus
0.27


95731_at
UNK_AI843106
ESTs, Highly similar to p53 regulated PA26-T2 nuclear protein
Uterus
0.27




[H. sapiens]


97844_at
RGS2
regulator of G-protein signaling 2
Uterus
0.26


94516_f_at
PENK2
preproenkephalin 2
Uterus
0.19


95082_at
IGFBP3
insulin-like growth factor binding protein 3
Uterus
0.19


94057_g_at
SCD1
stearoyl-Coenzyme A desaturase 1
Uterus
0.19


101560_at
EMB
embigin
Uterus
0.18


93996_at
CYP2E1
cytochrome P450, 2e1, ethanol inducible
Uterus
0.18


101991_at
FMO1
flavin containing monooxygenase 1
Uterus
0.17


92877_at
TGFBI
transforming growth factor, beta induced, 68 kDa
Uterus
0.16


97402_at
TEMT
thioether S-methyltransferase
Uterus
0.15


100567_at
FABP4
fatty acid binding protein 4, adipocyte
Uterus
0.14


99104_at
ACRP30
adipocyte complement related protein of 30 kDa
Uterus
0.13
















TABLE IV








Genes Regulated By Estrogen in the Kidney


















Study 1
Study 1






















Approx
WT

ERbKO








Ave
Veh
E2
Veh









Expr

Expr









(/evansm/

(/evansm/









Kidney,
Expr
Kidney,









mouse/Study
(/evansm/Kidney,
mouse/Study









1,
mouse/Study
1,


Poten-
Poten-





U74v2/WT
1,
U74v2/KO


tial
tial





Vehicle
U74v2/WT
Vehicle


ERa
ERb





kidney
E2 kidney
kidney


regs
regs
Fragment Name
Exemplar Seq: A
Unigene
Known Gene.Name
Fold
(81010))
(81036))
(81025))










INDUCTIONS
















x

100060_l_at
M13500

kallikrein 8
15.78
5
39
2


x

100061_f_at
M13500

kallikrein 8
83.25
6
341
3


x

95775_f_at
V00829

kallikrein 1
61.00
7
370
8


x

104495_f_at
Y00500
Mm.30375
kallikrein 5
52.59
5
115
2


x

94716_f_at
M17962
Mm.200410
kallikrein 9
44.67
16
380
8


x

100422—f_at
AJ237939
Mm.4697
signal transducer
39.21
5
151
2







and activator







of transcription







5A


x

100423—f_at
AJ237939
Mm.4697
signal transducer
3.80
41
96
13







and activator of







transcription 5A


x

101289—f_at
M17979


28.73
18
305
11


x

100681—f_at
V00829


25.24
8
123
6


x

94773_at
X01801

nerve growth
17.80
5
53
2







factor, alpha


x

104497—f_at
X03994
Mm.5193
kallikrein 8
17.44
6
53
3


x

168876—f_at
AV044014
Mm.143833
kallikrein 21
17.40
6
75
4


x

102693—f_at
J00389
Mm.143842
kallikrein 13,
17.24
5
86
6







kallikrein 26


x

100719—f_at
J03677
Mm.19214
kallikrein 16
14.45
13
119
7


x

114903_at
AI447633
Mm.26357

13.56
10
96
7


x

139531_at
AW120795
Mm.45188

12.37
2
40
2


x

101870_at
V00793


7.39
5
21
2


x

104221_at
AB017189
Mm.27943
solute carrier family
6.99
8
61
9







7 (cationic amino







acid







transporter, y+







system), member 5


x

95905_at
AI118078
Mm.24361

6.67
15
83
7


x

111046_r_at
AI957367
Mm.26838
17b dehydrogenase
6.34
2
17
2







A homolog


x

133672_at
AI451032
Mm.32389

5.91
2
11
2


x

117208_at
AI838208
Mm.41330
RIKEN cDNA
5.86
3
37
3







1110003O08 gene


x

96591_at
U24703
Mm.3057
reelin
5.28
5
43
3


x

103048_at
M12731
Mm.16469
neuroblastoma myc-
4.76
6
39
2







related oncogene 1


x

165248_f_at
AV035328
Mm.37203
placental
4.50
6
38
6







lactogen 2


x

92232_at
U88328
Mm.3468
cytokine inducible
4.37
5
45
6







SH-2 containing







protein 3


x

164520_f_at
AV302474
Mm.25743
Tmprss2
4.26
1
6
1







Transmembrane







protease, serine 2


x

99632_at
U83902
Mm.43444
MAD2 (mitotic
3.99
9
27
4







arrest deficient,







homolog)-like 1







(yeast)


x

116273_at
AW123862
Mm.31953

3.91
5
7
5


x

131226_at
AI842542
Mm.23157

3.60
2
8
2


x

104550_at
AW123273
Mm.23710
?CYP2S1
3.54
7
22
5







Cytochrome P450


x

105737_at
AI851277
Mm.39735

3.38
2
8
1


x

100407_at
L38580
Mm.4655
galanin
3.38
24
98
13


x

97353_at
AI837497
Mm.29629
AF9Q34 NGAP-
3.35
13
29
4







like protein


x

163941_at
AI646761
Mm.202077
RIKEN cDNA
3.32
31
71
15







1110018J23 gene


x

162976_at
AI838662
Mm.198767
RIKEN cDNA
3.30
3
10
2







2700007F12 gene


x

101979_at
AF055638
Mm.9653
growth arrest and
3.26
8
42
8







DNA-damage-







inducible 45







gamma


x

93374_at
AI836349
Mm.143762
junctophilin 3
3.23
25
65
6


x

107629_at
AW048768
Mm.27667

3.17
14
34
13


x

112320_at
AI852394
Mm.37753

3.15
14
30
8


x

133278_at
AI452199
Mm.31771

3.11
3
8
2


x

95109_at
AW121447
Mm.29363
NOL5A Nucleolar
3.07
33
91
21







protein 5A


x

133815_at
AU042854
Mm.26783

3.01
3
9
2


x

114394_at
AW121080
Mm.32795

2.96
4
17
7


x

167969_at
AA982630
Mm.87051
Weakly similar to
2.92
5
16
2







high mobility







group 1 protein


x

100938_at
M31658
Mm.144157
growth hormone
2.88
9
41
7







releasing hormone


x

97825_at
AI854029
Mm.28209
p53 apoptosis
2.85
10
33
3







effector







related to







Pmp22


x

136270_at
AI854101
Mm.40241
Highly similar
2.84
3
12
2







to CRFB MOUSE







CORTICOTROPIN-







RELEASING







FACTOR







BINDING







PROTEIN







PRECURSOR


x

134303_at
AI553493
Mm.35319

2.81
3
11
3


x

107993_at
AI847249
Mm.27680

2.81
2
9
2


x

104776_at
AA600617
Mm.33238

2.70
1
4
1


x

171390_i_at
AV299689
Mm.21070

2.66
2
3
2


x

103556_at
AI840158
Mm.19081
angiopoletin-
2.60
8
24
7







like 2


x

109176_at
AI846059
Mm.29219
RAI17 Retinoic
2.58
47
79
33







acid Induced 17


x

163186_at
AI852882
Mm.23230
RIKEN cDNA
2.57
20
61
25







2610510B01







gene


x

170686_f_at
AV362687
Mm.89845

2.52
22
58
27


x

164051_at
AV359458
Mm.17850

2.46
87
195
90


x

108749_at
AA611885
Mm.23047

2.41
16
34
12


x

96629_at
X04097
Mm.27194
similar to
2.32
22
55
11







TESTOSTERONE-







REGULATED RP2







PROTEIN


x

110767_r_at
AA959550
Mm.31540
vascular
2.31
13
37
9







endothetal







growth factor


x

165772_at
AI851899
Mm.41409
RIKEN cDNA
2.24
17
29
13







0610039J01 gene


x

99552_at
U79550
Mm.4272
slug, chicken
2.23
7
19
6







homolog


x

98437_at
U83720
Mm.34405
caspase 3, apoptosis
2.22
21
39
11







related cysteine







protease


x

165710_at
AA815844

sodium channel,
2.22
3
9
2







nonvoltage-gated







1 gamma


x

110591_at
AA270831
Mm.2454
SH3 domain
2.21
11
23
10







protien D19


x

113125_at
AI851671
Mm.34064
signal transducer
2.20
11
31
11







and activator







of transcription







5B


x

110850_at
AA959574
Mm.74711
NRIP1 Nuclear
2.18
28
76
25







receptor interacting







protein 1,







RIP140


x

103739_at
AW230977
Mm.24411
RIKEN cDNA
2.16
10
33
10







1110017N23 gene


x

165032_i_at
AV365688
Mm.200980
RIKEN cDNA
2.15
20
42
12







4933429H19 gene


x

166843_at
AI851523
Mm.200318

2.12
149
174
105


x

166021_at
AI481830
Mm.49448

2.09
7
12
5


x

100440_f_at
U76758
Mm.4789
ankyrin 1,
2.08
60
119
19







erythroid


x

163370_at
AI591488
Mm.31024
Osbpl3 Oxysterol
2.08
6
10
7







binding







protien-like 3


x

96215_f_at
AI53421
Mm.218360

2.08
92
206
32


x

165866_f_at
AV291803
Mm.70127
ribosomal
2.08
22
40
17







protein L12


x

98628_f_at
AF003695
Mm.3879
hypoxia inducible
1.97
129
288
68







factor 1,







alpha subunit







REPRESSIONS
















x

104880_at
AI843154
Mm.33750

0.50
10
2
11


x

129147_r_at
AI931796
Mm.214530
similar to
0.50
20
6
15







TYROSINE-







PROTEIN KINASE







RECEPTOR







TIE-1







PRECURSOR


x

102788_s_at
U70132
Mm.1385
paired-like
0.49
83
23
35







homeodomain







transcription







factor 2


x

166849_at
AI853080
Mm.40718

0.49
40
16
29


x

165678_i_at
AI482191
Mm.33178

0.49
23
11
15


x

106195_at
AI851948
Mm.22808

0.48
17
8
15


x

131149_at
AW214502
Mm.27650
RIKEN cDNA
0.48
17
7
16







5033417D07 gene


x

162645_at
AI851427
Mm.25594
protein kinase,
0.48
20
11
15







cAMP dependent







regulatory, type







II beta


x

100539_at
AI841279
Mm.157073
?HBACH
0.47
38
16
22







Cytosolic acyl







coenzyme A







thioester







hydrolase


x

169068_i_at
AV206066
Mm.59239
RIKEN cDNA
0.46
6
2
8







4930434J08 gene


x

99127_at
X61506
Mm.4098
spinocerebellar
0.45
136
66
52







ataxia 10







homolog (human)


x

108265_at
AW120464
Mm.54158

0.45
32
12
16


x

137525_at
AI098139
Mm.38027

0.44
9
4
13


x

167023_f_at
AV016619
Mm.2608
biglycan
0.44
15
3
6


x

101738_at
U25145
Mm.57061
tutetnizing
0.43
1120
578
606







hormone beta


x

104477_at
AW047643
Mm.29940

0.43
23
15
18


x

93104_at
Z16410

B-cell translocation
0.42
27
14
18







gene 1, anti-







proliferative


x

162969_at
AW123298
Mm.41716
Edil3 EGF-like
0.41
55
34
41







repeats and







discordin I-like







domains 3


x

165569_at
AI847273
Mm.22305

0.41
14
5
16


x

170896_at
AV066592
Mm.34232
Immune
0.40
9
3
14







associated







nucleotide 4


x

103729_at
M36775
Mm.243
laminin, alpha 1
0.40
24
17
26


x

132403_at
AI788603
Mm.169241
similar to
0.40
54
19
47







TSC1_RAT







HAMARTIN







(TUBEROUS







SCLEROSIS 1







PROTEIN







HOMOLOG)


x

97519_at
X13986
Mm.321
secreted
0.39
338
178
212







phosphoprotein 1


x

98055_at
AW121500
Mm.34330
bladder cancer
0.39
33
14
19







associated







protein homolog







(human)


x

163224_at
AI843147
Mm.24577
IGSF1
0.38
51
27
33







Immunoglobulin







superfamily,







member 1


x

95559_at
AI838836
Mm.27768
RIKEN cDNA
0.38
145
74
73







6330403K07 gene


x

99057_at
M12379

thymus cell
0.35
131
57
61







antigen 1, theta


x

133139_at
AW122295
Mm.41642
regulator of
0.34
20
4
22







G-protein







signaling 4


x

162964_at
AI854153
Mm.41842
regulator of
0.33
50
11
39







G-protein







signaling 4


x

97520_s_at
X83569
Mm.140956
neuroatin
0.32
523
157
314


x

94694_at
M69196
Mm.1333
proprotein
0.29
99
27
51







convertase







subtillsin/kexin







type 1


x

108851_at
AW125899
Mm.66275
Ras-like protein
0.27
33
10
33


x

101737_at
U12932
Mm.46711
follicle stimulating
0.16
163
19
87







hormone beta














Study 1
Study 2
Study 2


















WT



ERbKO






E2
Veh
Veh
E2
E2
Veh
Veh
E2
E2








Expr
Expr





Expr
Expr

(/evansm/
(/evansm/
Expr



Expr
Expr
(/evansm/
(/evansm/

Kidney,
Kidney,
(/evansm/



(/evansm/
(/evansm/Kidney,
Kidney,
Kidney,
Expr
mouse/Study
mouse/Study
Kidney,



Kidney,
mouse/Study
mouse/Study
mouse/Study
(/evansm/Kidney,
2,
2,
mouse/Study



mouse/Study
2,
2,
2,
mouse/Study
U74v2/ER
U74v2/ER
2,


Poten-
1,
U74v2/WT
U74v2/WT
U74v2/WT
2,
bKO
bKO
U74v2/ER


tial
U74v2/KO
kidney
kidney
kidney
U74v2/WT
kidney
kidney
bKO


ERa
E2 kidney
vehicle
vehicle
E2
kidney E2
vehicle
vehicle
kidney E2


regs
(81038))
(82406))
(82407))
(82408))
(82409))
(82410))
(82411))
(82412))










INDUCTIONS
















x
37
1
2
40
31
2
3
44
37


x
370
5
4
338
201
3
4
359
297


x
333
9
6
345
234
2
4
361
291


x
125
1
2
145
89
2
3
163
130


x
372
10
10
329
230
3
5
369
302


x
70
1
2
104
73
2
3
104
92


x
61
20
14
80
44
15
14
58
72


x
282
15
13
264
178
4
5
295
236


x
122
5
6
142
89
3
3
154
117


x
59
1
2
30
24
2
3
33
42


x
67
2
2
45
26
2
3
56
49


x
96
11
7
76
68
4
2
83
70


x
79
5
4
70
38
2
3
86
66


x
103
6
7
87
50
3
5
95
82


x
94
11
7
92
97
6
4
125
84


x
24
2
2
32
17
4
2
40
22


x
14
1
2
19
13
2
3
24
22


x
47
14
8
64
57
4
9
61
61


x
38
6
4
35
30
4
5
46
33


x
13
3
3
11
9
3
2
12
11


x
16
2
2
15
8
4
2
23
14


x
18
9
4
16
15
9
4
15
26


x
10
3
3
14
7
2
3
14
12


x
9
2
2
9
5
2
3
15
10


x
29
4
7
14
32
8
7
27
17


x
11
6
5
12
13
7
5
21
15


x
8
3
2
7
8
3
3
10
8


x
16
5
5
19
14
3
5
23
19


x
30
5
4
22
18
5
2
16
13


x
11
2
3
11
8
4
2
8
6


x
11
2
3
14
7
3
4
18
10


x
4
2
3
6
3
2
1
8
6


x
42
14
13
41
25
10
11
44
37


x
14
5
6
18
12
4
5
27
16


x
60
18
17
55
41
10
12
65
43


x
8
3
4
9
10
3
2
9
11


x
10
6
4
17
10
4
5
19
18


x
30
7
10
24
19
8
8
26
19


x
38
8
13
31
36
6
9
29
36


x
30
7
7
16
13
4
6
26
22


x
10
3
3
9
11
6
3
4
10


x
69
28
21
74
42
15
20
76
57


x
11
2
2
5
4
5
3
7
8


x
13
5
5
13
9
3
3
11
12


x
7
3
4
8
8
8
4
18
17


x
19
8
8
14
13
4
6
11
15


x
12
6
4
9
4
3
5
11
10


x
7
2
2
7
1
4
2
7
4


x
14
5
6
9
10
5
7
10
9


x
7
3
3
4
4
3
2
5
2


x
4
2
2
6
2
3
1
4
5


x
11
2
2
9
6
4
2
4
3


x
14
3
2
7
5
3
4
10
11


x
104
33
29
75
52
15
22
70
61


x
50
23
19
42
30
13
16
50
53


x
66
11
15
34
23
10
14
38
32


x
201
61
62
132
117
36
52
152
140


x
25
7
8
16
13
5
7
23
21


x
24
20
19
31
23
6
12
33
26


x
17
4
4
11
4
4
4
11
9


x
26
11
11
21
12
6
6
25
18


x
15
8
7
11
6
4
5
13
12


x
22
10
9
22
18
6
11
27
23


x
6
3
3
5
3
4
3
6
5


x
24
8
7
14
11
7
7
22
16


x
13
10
8
11
9
6
3
13
19


x
47
22
19
32
23
13
18
47
43


x
14
7
6
11
6
3
7
16
13


x
30
12
5
17
7
9
6
24
15


x
265
83
80
175
174
85
49
181
174


x
14
7
4
11
7
5
4
11
10


x
53
20
25
41
39
30
23
47
47


x
13
5
4
10
8
4
4
14
9


x
101
89
80
117
87
46
50
101
66


x
35
20
17
33
25
7
12
31
24


x
136
88
76
143
100
56
68
153
114







REPRESSIONS
















x
9
26
13
9
6
18
5
9
5


x
7
12
7
5
4
6
6
5
4


x
28
41
28
15
7
18
27
15
10


x
17
22
15
8
4
11
13
9
7


x
8
15
14
6
4
10
12
7
6


x
7
12
9
5
4
7
8
5
4


x
7
14
13
6
6
10
11
6
7


x
8
14
12
4
2
10
11
6
6


x
13
22
19
5
3
7
19
8
10


x
4
3
3
2
1
4
6
2
2


x
28
53
43
16
7
29
60
21
19


x
8
24
27
11
7
17
20
12
7


x
6
9
10
3
3
7
8
3
4


x
5
5
5
2
1
4
6
3
3


x
262
525
470
180
125
257
446
176
185


x
7
19
14
4
4
10
15
6
6


x
7
22
18
7
4
13
21
8
7


x
22
48
42
8
4
25
36
11
11


x
6
15
15
6
4
7
13
5
5


x
5
10
6
4
2
7
9
4
4


x
7
25
11
6
3
14
18
8
4


x
19
35
27
14
12
23
23
12
8


x
84
255
198
76
46
184
198
77
59


x
9
25
15
5
4
9
19
5
6


x
17
31
26
6
5
18
26
4
7


x
27
86
71
23
12
42
64
25
19


x
25
100
83
18
17
38
71
21
19


x
6
12
8
4
2
6
8
4
4


x
19
35
41
12
8
22
28
9
8


x
133
381
280
87
37
210
322
102
101


x
19
62
52
11
9
24
47
12
12


x
6
24
26
8
6
38
14
8
10


x
17
107
34
17
3
34
58
10
5









LIST OF REFERENCES



  • 1. Grodstein, F., Manson, J. E., Colditz, G A., Willett, W. C., Speizer, F. E. & Stampfer, M. J. (2000) Annals of Internal Medicine 133, 933-41.

  • 2. Barrett-Connor, E., Slone, S., Greendale, G., Kritz-Silverstein, D., Espeland, M., Johnson, S. R., Waclawiw, M. & Fineberg, S. E. (1997) Maturitas 27, 261-74.

  • 3. Godsland, I. F. (2001) Fertility & Sterility 75, 898-915.

  • 4. Nanda, K., Bastian, L. A., Hasselblad, V. & Simel, D. L. (1999) Obstetrics & Gynecology 93, 880-8.

  • 5. Kawas, C., Resnick, S., Morrison, A., Brookmeyer, R., Corrada, M., Zonderman, A., Bacal, C., Lingle, D. D. & Metter, E. (1997) Neurology 48, 1517-21.

  • 6. Worzala, K., Hiller, R., Sperduto, R. D., Mutalik, K., Murabito, J. M., Moskowitz, M., D'Agostino, R. B. & Wilson, P. W. (2001) Archives of Internal Medicine 161, 1448-54.

  • 7. Kuiper, & G, Carlsson, B., Grandien, K., Enmark, E., Haggblad, J., Nilsson, S. & Gustafsson, J. A. (1997) Endocrinology 138, 863-70.

  • 8. Hill, A. A., Hunter, C. P., Tsung, B. T., Tucker-Kellogg, G & Brown, E. L. (2000) Science 290, 809-12.

  • 9. Shughrue, P., Scrimo, P., Lane, M., Askew, R. & Merchenthaler, I. (1997) Endocrinology 138, 5649-52.

  • 10. Evans, M. J., Eckert, A., Lai, K., Adelman, S. J. & Hamish, D. C. (2001) Circulation Research 89, 823-830.

  • 11. Kraichely, D. M., Sun, J., Katzenellenbogen, J. A. & Katzenellenbogen, B. S. (2000) Endocrinology 141, 3534-45.

  • 12. Lubahn, D. B., Moyer, J. S., Golding, T. S., Couse, J. F., Korach, K. S. & Smithies, O. (1993) Proceedings of the National Academy of Sciences of the United States of America 90, 11162-6.

  • 13. Pendaries, C., Darblade, B., Rochaix, P., Krust, A., Chambon, P., Korach, K. S., Bayard, F. & Arnal, J. F. (2002) Proceedings of the National Academy of Sciences of the United States of America 99, 2205-2210.

  • 14. Couse, J. F., Curtis, S. W., Washburn, T. F., Lindzey, J., Golding, T. S., Lubahn, D. B., Smithies, O. & Korach, K. S. (1995) Molecular Endocrinology 9, 1441-54.

  • 15. Berry, M., Metzger, D. & Chambon, R (1990) EMBO Journal 9, 2811-8.

  • 16. Hall, J. M. & McDonnell, D. P. (1999) Endocrinology 140, 5566-78.

  • 17. Weihua, Z., Saji, S., Makinen, S., Cheng, G., Jensen, E. V., Waamer, M. & Gustafsson, J. A. (2000) Proceedings of the National Academy of Sciences of the United States of America 97, 5936-41.

  • 18. Trogan, E., Choudhury, R. P., Dansky, H. M., Rong, J. X., Breslow, J. L. & Fisher, E. A. (2002) Proceedings of the National Academy of Sciences of the United States of America 99, 2234-2239.

  • 19. Evans, M. J., Lai, K., Shaw, L. J., Harnish, D. C. & Chadwick, C. C. (2002) Endocrinology, In press.

  • 20. McIntire, J. J., Umetsu, S. E., Akbari, O., Potter, M., Kuchroo, V. K., Barsh, G. S., Freeman, Q J., Umetsu, D. T. & DeKruyff, R. H. (2001) Nature Immunology 2, 1109-16.

  • 21. Ichimura, T., Bonventre, J. V., Bailly, V., Wei, H., Hession, C. A., Cate, R. L. & Sanicola, M. (1998) Journal of Biological Chemistry 273, 4135-42.

  • 22. Davidoff, M., Caffier, H. & Schiebler, T. H. (1980) Histochemistry 69, 39-48.

  • 23. Aitken, J. M., Lindsay, R. & Hart, D. M. (1974) Clinical Science-& Molecular Medicine 47, 179-87.

  • 24. Pirani, B. B., Campbell, D. M. & MacGillivray, I. (1973) Journal of Obstetrics & Gynaecology of the British Commonwealth 80, 884-7.

  • 25. Stachenfeld, N. S., DiPietro, L., Palter, S. F. & Nadel, E. R. (1998) American Journal of Physiology 274, R187-95.

  • 26. Verlander, J. W., Tran, T M., Zhang, L., Kaplan, M. R. & Hebert, S. C. (1998) Journal of Clinical Investigation 101, 1661-9.

  • 27. Farmer, M. K., Robbins, M. J., Medhurst, A. D., Campbell, D. A., Ellington, K., Duckworth, M., Brown, A. M., Middlemiss, D. N., Price, G. W. & Pangalos, M. N. (2000) Genomics 70, 241-52.

  • 28. Reddy, M. M., Light, M. J. & Quinton, P. M. (1999) Nature 402, 301-4.

  • 29. Fu, G. K., Lin, D., Zhang, M. Y., Bikle, D. D., Shackleton, C. H., Miller, W. L. & Portale, A. A. (1997) Molecular Endocrinology 11, 1961-70.

  • 30. Tanaka, Y., Castillo, L. & DeLuca, H. F. (1976) Proceedings of the National Academy of Sciences of the United States of America 73, 2701-5.

  • 31. McKane, W. R., Khosla, S., Burritt, M. F., Kao, P. C., Wilson, D. M., Ory, S. J. & Riggs, B. L. (1995) Journal of Clinical Endocrinology &-Metabolism 80, 3458-64.

  • 32. Grey, A. B., Stapleton, J. P., Evans, M. C., Tatnell, M. A. & Reid, I. R. (1996) Annals of Internal Medicine 125, 360-8.

  • 33. Johnson, J. A. & Kumar, R. (1994) Seminars in Nephrology 14, 119-28.

  • 34. Hajjar, K. A. (2001) Journal of Clinical Investigation 107, 663-4.

  • 35. Bostom, A. G., Silbershatz, H., Rosenberg, I. H., Selhub, J., D'Agostino, R. B., Wolf, P. A., Jacques, P. F. & Wilson, P W. (1999) Archives of Internal Medicine 159, 1077-80.

  • 36. Walsh, B. W., Paul, S., Wild, R. A., Dean, R. A., Tracy, R. P., Cox, D. A. & Anderson, P. W. (2000) Journal of Clinical Endocrinology & Metabolism 85, 214-8.

  • 37. Libert, F., Parmentier, M., Lefort, A., Dumont, J. E. & Vassart, G (1990) Nucleic Acids Research 18, 1917.

  • 38. Kapas, S. & Clark, A. J. (1995) Biochemical & Biophysical Research Communications 217, 832-8.

  • 39. Gangula, P. R., Zhao, H., Wimalawansa, S. J., Supowit, S. C., DiPette, D. J. & Yallampalli, C. (2001) Biology of Reproduction 64, 1776-83.

  • 40. Cadnapaphomchai, M. A., Briner, V. A. & Schrier, R. W. (2001) in Diseases of the Kidney and Urinary Tract, ed. Schrier, R. W. (Lippincott Williams & Wilkins, Philadelphia), pp. 1459-1487.

  • 41. Safe, S. (2001) Vitamins & Hormones 62, 231-52.

  • 42. Paech, K., Webb, P., Kuiper, G. G., Nilsson, S., Gustafsson, J., Kushner, P. J. & Scanlan, T. S. (1997) Science 277, 1508-10.

  • 43. Naka, T., Fujimoto, M. & Kishimoto, T. (1999) Trends in Biochemical Sciences 24, 394-8.


Claims
  • 1. A plurality of genes, each of whom is differentially expressed in kidney cells exposed to estrogen and/or other hormones or combination of hormones and kidney cells without said exposure, which plurality comprises a first group and a second group, wherein each gene in said first group is differentially expressed at a higher level in said kidney cells exposed to estrogen and/or other hormones or combination of hormones than in said kidney cells without said exposure, and wherein each gene in said second group is differentially expressed at a lower level in said kidney cells exposed to estrogen and/or other hormones or combination of hormones than in said kidney cells without said exposure.
  • 2. The plurality of claim 1, wherein said exposure is in vivo or in vitro.
  • 3. The plurality of claim 2, wherein said higher level and said lower level are assessed using a predetermined statistical significance standard based on measurements of expression levels.
  • 4. The plurality of claim 3, wherein said measurements are obtained using nucleotide arrays or nucleotide filters.
  • 5. The plurality of claim 4, wherein said first group comprises NTT73 and ABCC3.
  • 6. The plurality of claim 4, wherein said first group comprises CYP7B1.
  • 7. The plurality of claim 4, wherein said second group comprises BHMT and SAHH.
  • 8. The plurality of claim 4, wherein said first group comprises Tissue Factor, CYP7B1, BCAT1, STAT5A, and GADD45G, wherein said second group comprises BHMT.
  • 9. The plurality of claim 4, wherein said first group comprises CYP7B1, TF, SCYA28, Iga, Vk28, PHD 2, ELF 3, TIM1, STAT5A, COR1, BCAT1, ABCC3, TIM2, NAT6, RGS3, GNBP3, BCL7A, 17βDHH, FYVE ZFP, NTT73, AGPS, TRIM2, HBACH, CIS2, CYP27B1, and STAT5B, wherein said second group comprises SAHH, ADH1A7, RARRES2, and BHMT.
  • 10. A method for identifying an agent having the biological effect of estrogen and/or other hormones or combination of hormones on gene expression in kidney, wherein said desired effect represents a first plurality of genes differentially expressed at various levels, which method comprises: exposing, in vivo or in vitro, kidney cells to said agent; measuring expression levels of a multiplicity of genes in said kidney cells exposed to said agent and kidney cells without said exposure, said multiplicity being greater than said first plurality; determining, using a predetermined statistical significance standard, genes which are differentially expressed in said kidney cells exposed to said agent and said kidney cells without said exposure, said genes constitute a second plurality; and comparing the expression levels of genes in said second plurality with the expression levels of genes in said first plurality, wherein said agent is identified as having said desired effort if said first and second pluralities are the same and said expression levels in said first and second pluralities are substantially the same.
  • 11. The method of claim 10, wherein said measuring is performed using nucleotide arrays or nucleotide filters.
  • 12. The method of claim 11, wherein said comparing is performed using a suitable statistical technique.
  • 13. The method of claim 12, wherein said first plurality is the plurality of any of claims 5-9.
  • 14. The method of claim 11, wherein said first plurality is the plurality of any of claim 5-9.
  • 15. An agent identified by the method of claim 13.
  • 16. An agent identified by the method of claim 14.
  • 17. A pharmaceutical composition comprising the agent of claim 15 and a pharmaceutically acceptable excipient.
  • 18. A pharmaceutical composition comprising the agent of claim 16 and a pharmaceutically acceptable excipient.
  • 19. A method for identifying an agent capable of maintaining vascular volume in septic shock, which method comprises: exposing, in vivo or in vitro, kidney cells to said agent; measuring expression levels of NTT73 and ABCC3 in said kidney cells exposed to said agent and kidney cells without said exposure; comparing the expression levels of NTT73 and ABCC3 with the expression levels of genes in the plurality of claim 5, wherein said agent is identified as capable of maintaining vascular volume in septic shock if said expression levels of NTT73 and ABCC3 are substantially the same as said expression levels of genes in the plurality of claim 5.
  • 20. A method for identifying an agent capable of enhancing calcium uptake in post-menopausal women, which method comprises: exposing, in vivo or in vitro, kidney cells to said agent; measuring expression levels of CYP7B1 in said kidney cells exposed to said agent and kidney cells without said exposure; comparing the expression levels of CYP7B1 with the expression levels of genes in the plurality of claim 6, wherein said agent is identified as capable of enhancing calcium uptake in post-menopausal women if said expression levels of CYP7B1 are substantially the same as said expression levels of genes in the plurality of claim 6.
  • 21. A method for identifying an agent for treating cardiovascular disorders, which method comprises: exposing, in vivo or in vitro, kidney cells to said agent; measuring expression levels of BHMT and SAHH in said kidney cells exposed to said agent and kidney cells without said exposure; comparing the expression levels of BHMT and SAHH with the expression levels of genes in the plurality of claim 7, wherein said agent is identified for treating cardiovascular disorders if said expression levels of BHMT and SAHH are substantially the same as said expression levels of genes in the plurality of claim 7.
  • 22. The method of claim 19, 20 or 21, wherein said measuring is performed using nucleotide arrays or nucleotide filters.
  • 23. The method of claim 22, wherein said comparing is performed using a suitable statistical technique.
  • 24. An agent identified by the method of claim 21.
  • 25. An agent identified by the method of claim 22.
  • 26. A pharmaceutical composition comprising the agent of claim 24 and a pharmaceutically acceptable excipient.
  • 27. A pharmaceutical composition comprising the agent of claim 25 and a pharmaceutically acceptable excipient.
  • 28. A plurality of genes, each of whom is differentially expressed in pituitary cells exposed to estrogen and/or a hormone or combination of hormones and pituitary cells without said exposure, which plurality comprises a first group and a second group, wherein each gene in said first group is differentially expressed at a higher level in said pituitary cells exposed to estrogen and/or other hormones or combination of hormones than in said pituitary cells without said exposure, wherein each gene in said second group is differentially expressed at a lower level in said pituitary cells exposed to estrogen and/or other hormones or combination of hormones than in said pituitary cells without said exposure.
  • 29. The plurality of claim 28, wherein said exposure is in vivo or in vitro.
  • 30. The plurality of claim 29, wherein said higher level and said lower level are assessed using a predetermined statistical significance standard based on measurements of expression levels.
  • 31. The plurality of claim 30, wherein said measurements are obtained using nucleotide arrays or nucleotide filters.
  • 32. The plurality of claim 31, wherein said first group comprises STAT5B and GADD45G.
  • 33. The plurality of claim 31, wherein said first group comprises STAT5B, GADD45G1, and Kallikreins.
  • 34. The plurality of claim 31, 32 or 33, wherein said second group comprises FSHb.
  • 35. A method for identifying an agent having a desired effect of estrogen and/or other hormones or combination of hormones on gene expression in pituitary, wherein said desired effect represents a first plurality of genes differentially expressed at various levels, which method comprises: exposing, in vivo or in vitro, pituitary cells to said agent; measuring expression levels of a multiplicity of genes in said pituitary cells exposed to said agent and pituitary cells without said exposure, said multiplicity being greater than said first plurality; determining, using a predetermined statistical significance standard, genes which are differentially expressed in said pituitary cells exposed to said agent and said pituitary cells without said exposure, said genes constitute a second plurality; and comparing the expression levels of genes in said second plurality with the expression levels of genes in said first plurality, wherein said agent is identified as having said desired effort if said first and second pluralities are the same and said expression levels in said first and second pluralities are substantially the same.
  • 36. The method of claim 35, wherein said measuring is performed using nucleotide arrays or nucleotide filters.
  • 37. The method of claim 36, wherein said comparing is performed using a suitable statistical technique.
  • 38. An agent identified by the method of claim 35.
  • 39. A pharmaceutical composition comprising the agent of claim 38, and a pharmaceutically acceptable excipient.
  • 40. A plurality of genes, each of whom is differentially expressed in uterus cells exposed to estrogen and/or a hormone or combination of hormones and uterus cells without said exposure, which plurality comprises a first group and a second group, wherein each gene in said first group is differentially expressed at a higher level in said uterus cells exposed to estrogen and/or other hormones or combination of hormones than in said uterus cells without said exposure, wherein each gene in said second group is differentially expressed at a lower level in said uterus cells exposed to estrogen and/or other hormones or combination of hormones than in said uterus cells without said exposure.
  • 41. The plurality of claim 40, wherein said exposure is in vivo or in vitro.
  • 42. The plurality of claim 41, wherein said higher level and said lower level are assessed using a predetermined statistical significance standard based on measurements of expression levels.
  • 43. The plurality of claim 42, wherein said measurements are obtained using nucleotide arrays or nucleotide filters.
  • 44. The plurality of claim 43, wherein said first group comprises SFRP4, Deiodinase, type II, Procollagen, type I, alpha I, vimentin, and IDFBP4.
  • 45. The plurality of claim 43, wherein said first group comprises AI121305, ALOX15, BCAT1, SiAMOX, C3, FOS, MAP2k1, CEBPb, and EGR1.
  • 46. The plurality of claim 43, wherein said first group comprises SFRP4, Deiodinase (type II), Procollagen (ype I, alpha I) vimentin, IDFBP4, AI121305, ALOX15, BCAT1, SiAMOX, C3, FOS, MAP2k1, CEBPb, and EGR1.
  • 47. The plurality of claim 43, 44, 45 or 46, wherein said second group comprises CYP1A1.
  • 48. The plurality of claim 43, 44, 45, or 46, wherein said second group comprises Scavenger receptor.
  • 49. The plurality of claim 43, 44, 45, or 46, wherein said second group comprises CYP1A1 and Scavenger receptor.
  • 50. A method for identifying an agent having a desired effect of estrogen and/or other hormone or combination of hormones on gene expression in uterus, wherein said desired effect represents a first plurality of genes differentially expressed at various levels, which method comprises: exposing, in vivo or in vitro, uterus cells to said agent; measuring expression levels of a multiplicity of genes in said uterus cells exposed to said agent and uterus cells without said exposure, said multiplicity being greater than said first plurality; determining, using a predetermined statistical significance standard, genes which are differentially expressed in said uterus cells exposed to said agent and said uterus cells without said exposure, said genes constitute a second plurality; and comparing the expression levels of genes in said second plurality with the expression levels of genes in said first plurality, wherein said agent is identified as having said desired effort if said first and second pluralities are the same and said expression levels in said first and second pluralities are substantially the same.
  • 51. The method of claim 50, wherein said measuring is performed using nucleotide arrays or nucleotide filters.
  • 52. The method of claim 51, wherein said comparing is performed using a suitable statistical technique.
  • 53. An agent identified by the method of claim 50.
  • 54. A pharmaceutical composition comprising the agent of claim 53, and a pharmaceutically acceptable excipient.
  • 55. A plurality of genes of any one of claims 1, 28 or 40, wherein said expression levels are confirmed by real-time PCR.
  • 56. The method of identifying of any of claims 10, 19, 20, 21, 35 or 50 wherein said expression levels are confirmed by real-time PCR.
  • 57. A solid substrate comprising the plurality of genes of one of claims 1, 28 or 40.
  • 58. The solid substrate of claim 55, which is a gene chip.
  • 59. A kit comprising the plurality of genes of one of claims 1, 28 or 40.
Priority Claims (1)
Number Date Country Kind
60371682 Apr 2002 US national
PCT Information
Filing Document Filing Date Country Kind 371c Date
PCT/US03/11240 4/10/2003 WO 4/20/2005