Literature DB >> 10870968

Comprehensive analyses of prostate gene expression: convergence of expressed sequence tag databases, transcript profiling and proteomics.

P S Nelson1, D Han, Y Rochon, G L Corthals, B Lin, A Monson, V Nguyen, B R Franza, S R Plymate, R Aebersold, L Hood.   

Abstract

Several methods have been developed for the comprehensive analysis of gene expression in complex biological systems. Generally these procedures assess either a portion of the cellular transcriptome or a portion of the cellular proteome. Each approach has distinct conceptual and methodological advantages and disadvantages. We have investigated the application of both methods to characterize the gene expression pathway mediated by androgens and the androgen receptor in prostate cancer cells. This pathway is of critical importance for the development and progression of prostate cancer. Of clinical importance, modulation of androgens remains the mainstay of treatment for patients with advanced disease. To facilitate global gene expression studies we have first sought to define the prostate transcriptome by assembling and annotating prostate-derived expressed sequence tags (ESTs). A total of 55000 prostate ESTs were assembled into a set of 15953 clusters putatively representing 15953 distinct transcripts. These clusters were used to construct cDNA microarrays suitable for examining the androgen-response pathway at the level of transcription. The expression of 20 genes was found to be induced by androgens. This cohort included known androgen-regulated genes such as prostate-specific antigen (PSA) and several novel complementary DNAs (cDNAs). Protein expression profiles of androgen-stimulated prostate cancer cells were generated by two-dimensional electrophoresis (2-DE). Mass spectrometric analysis of androgen-regulated proteins in these cells identified the metastasis-suppressor gene NDKA/nm23, a finding that may explain a marked reduction in metastatic potential when these cells express a functional androgen receptor pathway.

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Year:  2000        PMID: 10870968     DOI: 10.1002/(SICI)1522-2683(20000501)21:9<1823::AID-ELPS1823>3.0.CO;2-3

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  12 in total

1.  The program of androgen-responsive genes in neoplastic prostate epithelium.

Authors:  Peter S Nelson; Nigel Clegg; Hugh Arnold; Camari Ferguson; Michael Bonham; James White; Leroy Hood; Biaoyang Lin
Journal:  Proc Natl Acad Sci U S A       Date:  2002-08-16       Impact factor: 11.205

2.  Proteomic analyses to identify novel therapeutic targets for the treatment of advanced prostate cancer.

Authors:  Barbara Comuzzi; Marianne D Sadar
Journal:  Cellscience       Date:  2006-07-27

3.  Phase II multicenter study of abiraterone acetate plus prednisone therapy in patients with docetaxel-treated castration-resistant prostate cancer.

Authors:  Daniel C Danila; Michael J Morris; Johann S de Bono; Charles J Ryan; Samuel R Denmeade; Matthew R Smith; Mary-Ellen Taplin; Glenn J Bubley; Thian Kheoh; Christopher Haqq; Arturo Molina; Aseem Anand; Michael Koscuiszka; Steve M Larson; Lawrence H Schwartz; Martin Fleisher; Howard I Scher
Journal:  J Clin Oncol       Date:  2010-02-16       Impact factor: 44.544

Review 4.  Whole transcriptome analysis with sequencing: methods, challenges and potential solutions.

Authors:  Zhihua Jiang; Xiang Zhou; Rui Li; Jennifer J Michal; Shuwen Zhang; Michael V Dodson; Zhiwu Zhang; Richard M Harland
Journal:  Cell Mol Life Sci       Date:  2015-05-28       Impact factor: 9.261

5.  Quantitative proteomic profiling of prostate cancer reveals a role for miR-128 in prostate cancer.

Authors:  Amjad P Khan; Laila M Poisson; Vadiraja B Bhat; Damian Fermin; Rong Zhao; Shanker Kalyana-Sundaram; George Michailidis; Alexey I Nesvizhskii; Gilbert S Omenn; Arul M Chinnaiyan; Arun Sreekumar
Journal:  Mol Cell Proteomics       Date:  2009-11-09       Impact factor: 5.911

6.  A novel algorithm for computational identification of contaminated EST libraries.

Authors:  Rotem Sorek; Hershel M Safer
Journal:  Nucleic Acids Res       Date:  2003-02-01       Impact factor: 16.971

7.  Metabolomic profiling reveals a role for androgen in activating amino acid metabolism and methylation in prostate cancer cells.

Authors:  Nagireddy Putluri; Ali Shojaie; Vihas T Vasu; Srilatha Nalluri; Shaiju K Vareed; Vasanta Putluri; Anuradha Vivekanandan-Giri; Jeman Byun; Subramaniam Pennathur; Theodore R Sana; Steven M Fischer; Ganesh S Palapattu; Chad J Creighton; George Michailidis; Arun Sreekumar
Journal:  PLoS One       Date:  2011-07-18       Impact factor: 3.240

Review 8.  Progress in the application of DNA microarrays.

Authors:  E K Lobenhofer; P R Bushel; C A Afshari; H K Hamadeh
Journal:  Environ Health Perspect       Date:  2001-09       Impact factor: 9.031

9.  Proteomic interrogation of androgen action in prostate cancer cells reveals roles of aminoacyl tRNA synthetases.

Authors:  Adaikkalam Vellaichamy; Arun Sreekumar; John R Strahler; Theckelnaycke Rajendiran; Jindan Yu; Sooryanarayana Varambally; Yong Li; Gilbert S Omenn; Arul M Chinnaiyan; Alexey I Nesvizhskii
Journal:  PLoS One       Date:  2009-09-18       Impact factor: 3.240

Review 10.  Prostate cancer genomics.

Authors:  P E Li; P S Nelson
Journal:  Curr Urol Rep       Date:  2001-02       Impact factor: 2.862

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