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Oligo GEArray® Human Prostate Cancer Biomarkers Microarray

Oligo GEArrays - Discontinued Product Announcement - Effective January 1, 2010

See this Pathway in PCR Array Format!
HybTube Format Cat. No.: OHS-403
HybPlate Format Cat. No.: EHS-403

Description
The Oligo GEArray® Human Prostate Cancer Biomarkers Microarray profiles the expression of 263 genes useful as molecular markers in the prognosis and diagnosis of prostate cancer. This array is designed with clinical researchers and research pathologists in mind. The genes on this array are highly associated with prostate cancer based on published literature [see references]. The gene content on the array is grouped according to biological function to help track the underlying mechanisms of prostate cancer progression. Through a simple side-by-side hybridization experiment you can determine differential gene expression between your samples.

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Useful Links
Pricing and Ordering Gene Table GEArray Service
User Manual White Paper GEArray ThermoShaker
Related Products for the Genes on This Array
shRNA Plasmids qPCR Gene Assays Modify This Array
Functional Gene Grouping

Androgen Receptor and Associated Proteins: AR, NR1I3, RNF14, SHBG, SRD5A2, TGFB1I1.

Apoptosis:

Induction of Apoptosis: BAK1, BAX, CASP3, CDKN1A, DAPK1, INHA, MAPK1, NOX5, PRKCA, PRKCE, TIMP3, TNFSF10, TP53.

Caspases: CASP1, CASP3, CASP7.

Anti-apoptosis: AKT1, BCL2, BCL2L1, IGF1R, IL1A, IL2, NFKB1, PRKCZ, TGFB1, TNF.

Other Apoptosis Genes: AGTR2, BRCA1, CLU, E2F1, IGFBP3, IL1B, IL24, NFKBIA, PAWR, VEGF.

Cell Cycle:

Cell Cycle Checkpoint: BRCA1, CDKN2A, RB1, TP53.

Cell Ccle Arrest: CDKN1A, CDKN1B, CDKN1C, CDKN2A, CDKN2B, CDKN2C, CDKN3, INHA, MAPK12, MYC, RASSF1, TP53.

Negative Regulation of the Cell Cycle: APC, BAX, BRCA1, CDKN1C, CDKN2A, CDKN2B, EGFR, ESR1, FHIT, INHA, KLK10, MAPK12, MTSS1, PTEN, RASSF1, RB1, TP53.

Other Regulators of the Cell Cycle: BCL2, CCND1, CDK2, CDK3, CDK4, CDK5, CDK6, CDK7, CDK8, CDK9, E2F1, FGF1, FGF10, FGF2, FGF3, FGF4, FGF5, FGF6, FGF7, FGF8, FGF9, HK2, HRAS, IGF1R, IGF2, IL1A, IL1B, MAPK1, MAPK13, MAPK3, MAPK4, MAPK6, MAPK7, PCNA, PRKCA, TGFA, TGFB1, TGFB2, TGFB3, VEGF.

Cell Growth and Proliferation:

Cytokines: BMP6, IL12A, IL1A, IL1B, IL2, IL24, INHA, TNF, TNFSF10

Growth Factors: BMP6, EGF, FGF1, FGF10, FGF11, FGF12, FGF13, FGF14, FGF16, FGF17, FGF18, FGF19, FGF2, FGF20, FGF21, FGF22, FGF23, FGF3, FGF4, FGF5, FGF6, FGF7, FGF8, FGF9, GRP, IGF1, IGF2, IL12A, IL1A, IL1B, IL2, INHA, TGFA, TGFB1, TGFB2, TGFB3, VEGF

Positive Regulation of Cell Proliferation: CDK2, EGF, FGF10, FGF18, FGF2, FGF4, FGF7, IGF1, IGF1R, IL2, VEGF

Negative Regulation of Cell Proliferation: BCL2, CD164, CDKN1A, CDKN1B, CDKN1C, CDKN2A, CDKN2B, CDKN2C, CDKN3, GNRH1, IGFBP6, IL1A, IL1B, ODZ1, PAWR, PLG, TGFB1I1

Other Regulators of Cell Growth and Proliferation: AR, BRCA1, CDK3, CDK4, CDK5, CDK6, CDK7, CDK9, E2F1, EGFR, ENO1, ERBB2, ESR1, ESR2, IGFBP3, IGFBP6, IL2, INSL4, MYC, NOX5, NR6A1, PAP, PCNA, PRKCQ, PRKD1, PRL, TP53

Cell Differentiation: FGF22, FGF23, FGF9, IGFBP3, IL2, INHA, KLK6, TP53.

Hormones and Related Genes:

Hormones: CHGB, GNRH1, IGF1, IGF2, INHA, INSL3, INSL4, PRL.

Hormone Regulators: KLK6, SHBG.

Thyroid Hormone Receptors: NR1D1, NR1H3, NR1I3, NR2F6, NR4A3.

Other Steroid Hormone Receptors: AR, ESR1, ESR2, NR0B1, NR0B2, NR1D2, NR1H2, NR1H4, NR1I2, NR2C1, NR2C2, NR2E1, NR2E3, NR2F1, NR2F2, NR3C1, NR3C2, NR4A1, NR4A2, NR5A1, NR5A2, NR6A1, PGR, RARB.

Angiogenesis Factors: FGF1, FGF2, FGF6, KLK3, KRT1, VEGF.

Extracellular Matrix (ECM): APOC1, BRCA1, CHGA, CHGB, CLU, COL1A1, COL6A1, EGF, ERBB2, ERK8, FGF1, FGF10, FGF11, FGF13, FGF14, FGF16, FGF17, FGF18, FGF2, FGF20, FGF21, FGF22, FGF23, FGF3, FGF4, FGF5, FGF6, FGF7, FGF8, FGF9, GNRH1, IGF1, IGF2, IGFBP3, IGFBP6, IL12A, IL1A, IL1B, IL2, IL24, INHA, INSL3, INSL4, KLK10, KLK12, KLK13, KLK14, KLK15, KLK3, KLK4, KLK5, KLK6, KLK9, MMP2, MMP9, MSMB, NTN4, ODZ1, PAP, PLAU, PRL, PSAP, SERPINA3, SHBG, TGFA, TIMP3, VEGF.

Cell Adhesion:

Cell- Cell Adhesion: CD44, CDH1, CDH10, CDH19, CDH20, CDH7, CDH9.

Homophilic Cell Adhesion: CDH1, CDH10, CDH13, CDH18, CDH19, CDH20, CDH7, CDH8, CDH9, ROBO2.

Cell-Matrix Adhesion: CD44, ILK, ITGA1.

Other Cell Adhesion Regulators: APC, CD164, COL6A1, MTSS1, PAP, TGFB1I1, TNF.

Proteases and Inhibitors:

Kallikreins: KLK1, KLK10, KLK11, KLK12, KLK13, KLK14, KLK15, KLK2, KLK3, KLK4, KLK5, KLK6, KLK7, KLK8, KLK9.

Metallopeptidases: FOLH1, MMP2, MMP9.

Other proteases: CASP1, CASP3, CASP7, PLAU, PLG.

Protease inhibitors: SERPINA3, TIMP3.

Protein Kinases and Inhibitors:

Cyclin-dependent Protein Kinases: CDK2, CDK3, CDK4, CDK5, CDK7, CDK9, CDK Inhibitors, AGTR2, CDKN1A, CDKN1B, CDKN1C, CDKN2A, CDKN2B, CDKN2C.

JUN Kinases: MAPK10, MAPK8, MAPK9.

MAP Kinases: ERK8, MAPK1, MAPK10, MAPK11, MAPK12, MAPK13, MAPK14, MAPK3, MAPK4, MAPK6, MAPK7, MAPK8, MAPK9.

MAP Kinase Kinases: MAPK10, MAPK14.

Protein Kinase C Members: PRKCA, PRKCB1, PRKCE, PRKCG, PRKCH, PRKD3.

Janus Kinases: INSL3, TYK2.

Other Protein Kinases: AKT1, CDK6, CDK8, DAPK1, EGFR, ERBB2, HK2, HK3, IGF1R, ILK, MAP2K4, MAP3K1, PRKCD, PRKCI, PRKCQ, PRKCZ, PRKD1, PRKD2, RNASEL, SRC, TGFA.

Transcription Factors and Regulators:

Nuclear Receptors: ESR1, ESR2, NR0B1, NR0B2, NR1D1, NR1D2, NR1H2, NR1H3, NR1H4, NR1I2, NR1I3, NR2C1, NR2C2, NR2E1, NR2E3, NR2F1, NR2F2, NR2F6, NR3C1, NR3C2, NR4A1, NR4A2, NR4A3, NR5A1, NR5A2, NR6A1, PGR, RARB.

Other Transcription Factors and Regulators: AR, BRCA1, CDK7, CDK8, CDK9, E2F1, EGR3, ELL, ENO1, EZH1, EZH2, FGF10, HIF1A, JUN, MYC, NCOA4, NFKB1, NFKBIA, NKX3-1, PAWR, PIAS1, RB1, RNF14, SOX2, TGFB1I1, TNF, TP53, TRPS1.

Genes Involved in Stress Response:

Antibacterial Humoral Response: IL12A, IL1B, MAPK11, MAPK14, NFKB1, NR4A2.

Inflammatory Response: IL1A, IL1B, NFKB1, NR3C1, PAP, SERPINA3, TNF.

Other Stress Response Genes: AKT1, BRCA1, CD164, FGF10, FGF16, FGF7, HIF1A, IL2, IL24, INHA, KLK6, KRT1, MAPK1, MAPK11, MAPK13, MAPK14, MAPK8, MAPK9, NFKB1, NFKBIA, ODZ1, TNF, TNFSF10, TP53, VEGF.

Other Prostate Cancer Markers: AGR2, AIG1, AKAP1, AKAP2, CANT1, CAV1, CDH12, CLDN3, CLN3, CYB5, CYC1, DAB2IP, DES, DNCL1, ELAC2, ENO2, ENO3, FASN, FLJ12584, FLJ25530, GAGEB1, GAGEC1, GGT1, GSTP1, HIP1, HUMCYT2A, IL29, K6HF, KAI1, KRT2A, MIB1, PART1, PATE, PCA3, PIAS2, PIK3CG, PPID, PR1, PSCA, SLC2A2, SLC33A1, SLC43A1, STEAP, STEAP2, TPM1, TPM2, TRPC6.

Storage Conditions
Please check the kit components immediately after you receive this package. SABiosciences is only responsible for missing items reported within two (2) business days of receipt.

GEArray microarrays are shipped at ambient temperature enclosed in either a HybTube or ExpressPak Storage Box. They should be stored at -20 ºC upon receipt.

References
  1. Golub, T.R., et al., Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science, 1999. 286(5439): p. 531-7.
  2. Singh, D., et al., Gene expression correlates of clinical prostate cancer behavior. Cancer Cell, 2002. 1(2): p. 203-9.
  3. Dhanasekaran, S.M., et al., Delineation of prognostic biomarkers in prostate cancer. Nature, 2001. 412(6849): p. 822-6.
  4. Li, L.-C., et al., PGDB: a curated and integrated database of genes related to the prostate. Nucl. Acids Res., 2003. 31(1): p. 291-293.
  5. Bull, J.H., et al., Identification of potential diagnostic markers of prostate cancer and prostatic intraepithelial neoplasia using cDNA microarray. Br J Cancer, 2001. 84(11): p. 1512-9.
  6. Brooks, J.D., Microarray analysis in prostate cancer research. Curr Opin Urol, 2002. 12(5): p. 395-9.
  7. Moul, J.W., et al., cDNA microarray gene chip for prostate cancer and translational study in a prospective tissue bank and clinical longitudinal database. Prostate Cancer Prostatic Dis, 2000. 3(S1): p. S30.
  8. Chakrabarti, R., et al., Profiling of differential expression of messenger RNA in normal, benign, and metastatic prostate cell lines. Cancer Genet Cytogenet, 2002. 139(2): p. 115-25.
  9. Huppi, K. and G.V. Chandramouli, Molecular profiling of prostate cancer. Curr Urol Rep, 2004. 5(1): p. 45-51.
  10. Li, Y., et al., Gene expression profiling revealed novel mechanism of action of Taxotere and Furtulon in prostate cancer cells. BMC Cancer, 2005. 5(1): p. 7.
  11. Walker, M.G., et al., Prediction of Gene Function by Genome-Scale Expression Analysis: Prostate Cancer-Associated Genes. Genome Res., 1999. 9(12): p. 1198-1203.
  12. Hu, Y., et al., Analysis of genomic and proteomic data using advanced literature mining. J Proteome Res, 2003. 2(4): p. 405-12.
  13. Nelson, P.S., Predicting prostate cancer behavior using transcript profiles. J Urol, 2004. 172(5 Pt 2): p. S28-32; discussion S33.