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Identification of androgen‐regulated genes in the prostate cancer cell line LNCaP by serial analysis of gene expression and proteomic analysis
Author(s) -
Waghray Anuradha,
Feroze Farhana,
Schober Megan S.,
Yao Fayi,
Wood Chris,
Puravs Eric,
Krause Melissa,
Hanash Samir,
Chen Yong Q.
Publication year - 2001
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/1615-9861(200110)1:10<1327::aid-prot1327>3.0.co;2-b
Subject(s) - lncap , androgen , dihydrotestosterone , rna , prostate cancer , gene expression , gene , serial analysis of gene expression , biology , gene expression profiling , messenger rna , prostate , cancer research , microbiology and biotechnology , medicine , endocrinology , cancer , genetics , hormone
A common therapy for nonorgan‐confined prostate cancer involves androgen deprivation. To develop a better understanding of the effect of androgen on prostatic cells, we have analyzed gene expression changes induced by dihydrotestosterone (DHT) in the androgen responsive prostate cancer line LNCaP, at both RNA and protein levels. Changes at the RNA level induced by DHT were determined by means of serial analysis of gene expression (SAGE), and protein profiling was done by means of quantitative two‐dimensional polyacrylamide gel electrophoresis. Among 123 371 transcripts analyzed, a total of 28844 distinct SAGE tags were identified representing 16 570 genes. Some 351 genes were significantly affected by DHT treatment at the RNA level ( p <0.05), of which 147 were induced and 204 repressed by androgen. In two independent experiments, the integrated intensity of 32 protein spots increased and 12 decreased at least two‐fold in response to androgen, out of a total of 1031 protein spots analyzed. The change in intensity for most of the affected proteins identified could not be predicted based on the level of their corresponding RNA. Our study provides a global assessment of genes regulated by DHT and suggests a need for profiling at both RNA and protein levels for a comprehensive evaluation of patterns of gene expression.