Identification of differentially expressed genes by serial analysis of gene expression in human prostate cancer

被引:1
|
作者
Waghray, A
Schober, M
Feroze, F
Yao, F
Virgin, J
Chen, YQ
机构
[1] Wayne State Univ, Dept Pathol, Detroit, MI 48201 USA
[2] Wayne State Univ, Ctr Mol Med & Genet, Detroit, MI 48201 USA
关键词
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Prostate cancer is the leading cause of cancer death in American males. To better understand the genetic bases of this disease, we have generated a comprehensive molecular profile of human prostate. The gene expression pattern in normal and prostate cancer tissues was analyzed by serial analysis of gene expression (SAGE). A total of 133,217 transcripts were analyzed, and 35,185 distinct SAGE tags were identified representing 19,287 genes. Comparison of the transcripts in normal and tumor tissue revealed 156 differentially expressed genes (P < 0.05), of which 88 genes were up-regulated and 68 genes were down-regulated in the tumor tissue. Based on SAGE data, we estimate that the transcriptome for human prostate is approximately 37,000, Several differentially expressed genes identified by SAGE were selected for confirmation using immunohistochemistry. Some genes (e.g., E2F4) were overexpressed in tumor epithelial cells and some (e.g., Daxx) were increased in tumor stroma, Further characterization of the role of E2F4 and Daxx as well as other differentially expressed genes may provide useful insights into the mechanism of prostate cancer development.
引用
收藏
页码:4283 / 4286
页数:4
相关论文
共 50 条
  • [41] Identification of Genes Universally Differentially Expressed in Gastric Cancer
    Shi, Yidan
    Qi, Lishuang
    Chen, Haifeng
    Zhang, Jiahui
    Guan, Qingzhou
    He, Jun
    Li, Meifeng
    Guo, Zheng
    Yan, Haidan
    Li, Ping
    BIOMED RESEARCH INTERNATIONAL, 2021, 2021
  • [42] Microarray analysis of differentially expressed genes associated with human ovarian cancer
    Lee, BC
    Cha, K
    Avraham, S
    Avraham, HK
    INTERNATIONAL JOURNAL OF ONCOLOGY, 2004, 24 (04) : 847 - 851
  • [43] Identification of differentially expressed genes
    Schütt, Christine (cschuett@uni-potsdam.de), 1600, Springer Verlag (500):
  • [44] Identification of differentially expressed genes in human pineal parenchymal tumors by microarray analysis
    Jacques Champier
    Anne Jouvet
    Catherine Rey
    Virginie Brun
    Arlette Bernard
    Michelle Fèvre-Montange
    Acta Neuropathologica, 2005, 109 : 306 - 313
  • [45] In silico identification and comparative analysis of differentially expressed genes in human and mouse tissues
    Pao, Sheng-Ying
    Lin, Win-Li
    Hwang, Ming-Jing
    BMC GENOMICS, 2006, 7 (1)
  • [46] Identification of differentially expressed genes in human pineal parenchymal tumors by microarray analysis
    Champier, J
    Jouvet, A
    Rey, C
    Brun, V
    Bernard, A
    Fèvre-Montange, M
    ACTA NEUROPATHOLOGICA, 2005, 109 (03) : 306 - 313
  • [47] In silico identification and comparative analysis of differentially expressed genes in human and mouse tissues
    Sheng-Ying Pao
    Win-Li Lin
    Ming-Jing Hwang
    BMC Genomics, 7
  • [48] Identification of Differentially Expressed Genes and Pathways in Human Atrial Fibrillation by Bioinformatics Analysis
    Pan, Defeng
    Zhou, Yufei
    Xiao, Shengjue
    Hu, Yue
    Huan, Chunyan
    Wu, Qi
    Wang, Xiaotong
    Pan, Qinyuan
    Liu, Jie
    Zhu, Hong
    INTERNATIONAL JOURNAL OF GENERAL MEDICINE, 2022, 15 : 103 - 114
  • [49] Identification of Differentially-expressed Genes in Intestinal Gastric Cancer by Microarray Analysis
    Shizhu Zang
    Ruifang Guo
    Rui Xing
    Liang Zhang
    Wenmei Li
    Min Zhao
    Jingyuan Fang
    Fulian Hu
    Bin Kang
    Yonghong Ren
    Yonglong Zhuang
    Siqi Liu
    Rong Wang
    Xianghong Li
    Yingyan Yu
    Jing Cheng
    Youyong Lu
    Genomics,Proteomics & Bioinformatics, 2014, (06) : 276 - 283
  • [50] Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysis
    Abdolahi, Fatemeh
    Shahraki, Ali
    Sheervalilou, Roghayeh
    Mortazavi, Sedigheh Sadat
    BMC MEDICAL GENOMICS, 2023, 16 (01)