Literature DB >> 10820484

Development of a prostate cDNA microarray and statistical gene expression analysis package.

A J Carlisle1, V V Prabhu, A Elkahloun, J Hudson, J M Trent, W M Linehan, E D Williams, M R Emmert-Buck, L A Liotta, P J Munson, D B Krizman.   

Abstract

A cDNA microarray comprising 5184 different cDNAs spotted onto nylon membrane filters was developed for prostate gene expression studies. The clones used for arraying were identified by cluster analysis of > 35 000 prostate cDNA library-derived expressed sequence tags (ESTs) present in the dbEST database maintained by the National Center for Biotechnology Information. Total RNA from two cell lines, prostate line 8.4 and melanoma line UACC903, was used to make radiolabeled probe for filter hybridizations. The absolute intensity of each individual cDNA spot was determined by phosphorimager scanning and evaluated by a bioinformatics package developed specifically for analysis of cDNA microarray experimentation. Results indicated 89% of the genes showed intensity levels above background in prostate cells compared with only 28% in melanoma cells. Replicate probe preparations yielded results with correlation values ranging from r = 0.90 to 0.93 and coefficient of variation ranging from 16 to 28%. Findings indicate that among others, the keratin 5 and vimentin genes were differentially expressed between these two divergent cell lines. Follow-up northern blot analysis verified these two expression changes, thereby demonstrating the reliability of this system. We report the development of a cDNA microarray system that is sensitive and reliable, demonstrates a low degree of variability, and is capable of determining verifiable gene expression differences between two distinct human cell lines. This system will prove useful for differential gene expression analysis in prostate-derived cells and tissue.

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Year:  2000        PMID: 10820484

Source DB:  PubMed          Journal:  Mol Carcinog        ISSN: 0899-1987            Impact factor:   4.784


  20 in total

Review 1.  Molecular profiling of clinical tissues specimens: feasibility and applications.

Authors:  M R Emmert-Buck; R L Strausberg; D B Krizman; M F Bonaldo; R F Bonner; D G Bostwick; M R Brown; K H Buetow; R F Chuaqui; K A Cole; P H Duray; C R Englert; J W Gillespie; S Greenhut; L Grouse; L W Hillier; K S Katz; R D Klausner; V Kuznetzov; A E Lash; G Lennon; W M Linehan; L A Liotta; M A Marra; P J Munson; D K Ornstein; V V Prabhu; C Prang; G D Schuler; M B Soares; C M Tolstoshev; C D Vocke; R H Waterston
Journal:  J Mol Diagn       Date:  2000-05       Impact factor: 5.568

Review 2.  Molecular profiling of clinical tissue specimens: feasibility and applications.

Authors:  M R Emmert-Buck; R L Strausberg; D B Krizman; M F Bonaldo; R F Bonner; D G Bostwick; M R Brown; K H Buetow; R F Chuaqui; K A Cole; P H Duray; C R Englert; J W Gillespie; S Greenhut; L Grouse; L W Hillier; K S Katz; R D Klausner; V Kuznetzov; A E Lash; G Lennon; W M Linehan; L A Liotta; M A Marra; P J Munson; D K Ornstein; V V Prabhu; C Prange; G D Schuler; M B Soares; C M Tolstoshev; C D Vocke; R H Waterston
Journal:  Am J Pathol       Date:  2000-04       Impact factor: 4.307

Review 3.  Microarray data quality analysis: lessons from the AFGC project. Arabidopsis Functional Genomics Consortium.

Authors:  David Finkelstein; Rob Ewing; Jeremy Gollub; Fredrik Sterky; J Michael Cherry; Shauna Somerville
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

4.  Insight into lymphoid development by gene expression profiling of avian B cells.

Authors:  Kimmo Koskela; Pekka Kohonen; Pia Nieminen; Jean-Marie Buerstedde; Olli Lassila
Journal:  Immunogenetics       Date:  2003-08-21       Impact factor: 2.846

5.  Prostate cancer: where are we going?

Authors:  W M Linehan
Journal:  Proc (Bayl Univ Med Cent)       Date:  2000-10

Review 6.  Reverse phase protein microarrays advance to use in clinical trials.

Authors:  Claudius Mueller; Lance A Liotta; Virginia Espina
Journal:  Mol Oncol       Date:  2010-10-16       Impact factor: 6.603

Review 7.  Validation and quality control of protein microarray-based analytical methods.

Authors:  Larry J Kricka; Stephen R Master
Journal:  Mol Biotechnol       Date:  2007-08-03       Impact factor: 2.695

8.  Hits and misses from gene expression ratio measurements in cDNA microarray studies.

Authors:  Dumitru A Iacobas; Aldo B Massimi; Marcia Urban; Sanda Iacobas; David C Spray
Journal:  J Biomol Tech       Date:  2002-09

9.  The microarray explorer tool for data mining of cDNA microarrays: application for the mammary gland.

Authors:  P F Lemkin; G C Thornwall; K D Walton; L Hennighausen
Journal:  Nucleic Acids Res       Date:  2000-11-15       Impact factor: 16.971

10.  Genomic and proteomic profiles reveal the association of gelsolin to TP53 status and bladder cancer progression.

Authors:  Marta Sanchez-Carbayo; Nicholas D Socci; Lee Richstone; Marta Corton; Nille Behrendt; Julia Wulkfuhle; Bernard Bochner; Emmanuel Petricoin; Carlos Cordon-Cardo
Journal:  Am J Pathol       Date:  2007-11       Impact factor: 4.307

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