Literature DB >> 16786039

Characterization of a method for profiling gene expression in cells recovered from intact human prostate tissue using RNA linear amplification.

Y Ding1, L Xu, S Chen, B D Jovanovic, I B Helenowski, D L Kelly, W J Catalona, X J Yang, M Pins, V Ananthanarayanan, R C Bergan.   

Abstract

Coupling array technology to laser capture microdissection (LCM) has the potential to yield gene expression profiles of specific cell populations within tissue. However, remaining problems with linear amplification preclude accurate expression profiling when using the low nanogram amounts of RNA recovered after LCM of human tissue. We describe a novel robust method to reliably amplify RNA after LCM, allowing direct probing of 12K gene arrays. The fidelity of amplification was demonstrated by comparing the ability of amplified RNA (aRNA) versus that of native RNA to identify differentially expressed genes between two different cell lines, demonstrating a 99.3% concordance between observations. Array findings were validated by quantitative polymerase chain reaction analysis of a randomly selected subset of 32 genes. Using LCM to recover normal (N=5 subjects) or cancer (N=3) cell populations from intact human prostate tissue, three differentially expressed genes were identified. Independent investigators have previously identified differential expression of two of these three genes, hepsin and beta-microseminoprotein, in prostate cancer. Taken together, the current study demonstrates that accurate gene expression profiling can readily be performed on specific cell populations present within complex tissue. It also demonstrates that this approach efficiently identifies biologically relevant genes.

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Year:  2006        PMID: 16786039     DOI: 10.1038/sj.pcan.4500888

Source DB:  PubMed          Journal:  Prostate Cancer Prostatic Dis        ISSN: 1365-7852            Impact factor:   5.554


  11 in total

1.  Endoglin suppresses human prostate cancer metastasis.

Authors:  Minalini Lakshman; Xiaoke Huang; Vijayalakshmi Ananthanarayanan; Borko Jovanovic; Yueqin Liu; Clarissa S Craft; Diana Romero; Calvin P H Vary; Raymond C Bergan
Journal:  Clin Exp Metastasis       Date:  2010-10-28       Impact factor: 5.150

2.  The methodology used to measure differential gene expression affects the outcome.

Authors:  Yongzeng Ding; Li Xu; Borko D Jovanovic; Irene B Helenowski; David L Kelly; William J Catalona; Ximing J Yang; Michael Pins; Raymond C Bergan
Journal:  J Biomol Tech       Date:  2007-12

3.  Concise syntheses of the abyssinones and discovery of new inhibitors of prostate cancer and MMP-2 expression.

Authors:  Rebecca L Farmer; Margaret M Biddle; Antoinette E Nibbs; Xiaoke Huang; Raymond C Bergan; Karl A Scheidt
Journal:  ACS Med Chem Lett       Date:  2010-11-11       Impact factor: 4.345

4.  Androgen receptor-independent function of FoxA1 in prostate cancer metastasis.

Authors:  Hong-Jian Jin; Jonathan C Zhao; Irene Ogden; Raymond C Bergan; Jindan Yu
Journal:  Cancer Res       Date:  2013-03-28       Impact factor: 12.701

5.  Endoglin inhibits prostate cancer motility via activation of the ALK2-Smad1 pathway.

Authors:  C S Craft; D Romero; C P H Vary; R C Bergan
Journal:  Oncogene       Date:  2007-05-14       Impact factor: 9.867

6.  MEK4 function, genistein treatment, and invasion of human prostate cancer cells.

Authors:  Li Xu; Yongzeng Ding; William J Catalona; Ximing J Yang; Wayne F Anderson; Borko Jovanovic; Kenji Wellman; Jaqueline Killmer; Xiaoke Huang; Karl A Scheidt; R Bruce Montgomery; Raymond C Bergan
Journal:  J Natl Cancer Inst       Date:  2009-07-28       Impact factor: 13.506

7.  Identification of markers of prostate cancer progression using candidate gene expression.

Authors:  S E T Larkin; S Holmes; I A Cree; T Walker; V Basketter; B Bickers; S Harris; S D Garbis; P A Townsend; C Aukim-Hastie
Journal:  Br J Cancer       Date:  2011-11-10       Impact factor: 7.640

8.  Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling.

Authors:  Mathieu Clément-Ziza; David Gentien; Stanislas Lyonnet; Jean-Paul Thiery; Claude Besmond; Charles Decraene
Journal:  BMC Genomics       Date:  2009-05-26       Impact factor: 3.969

9.  MyD88 predicts chemoresistance to paclitaxel in epithelial ovarian cancer.

Authors:  Dan-Arin Silasi; Ayesha B Alvero; Jessica Illuzzi; Michael Kelly; Rui Chen; Han-Hsuan Fu; Peter Schwartz; Thomas Rutherford; Masoud Azodi; Gil Mor
Journal:  Yale J Biol Med       Date:  2006-12

10.  Terminal Continuation (TC) RNA amplification enables expression profiling using minute RNA input obtained from mouse brain.

Authors:  Melissa J Alldred; Shaoli Che; Stephen D Ginsberg
Journal:  Int J Mol Sci       Date:  2008-10-31       Impact factor: 6.208

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