Literature DB >> 11710894

Gene expression profile analysis by DNA microarrays: promise and pitfalls.

H C King1, A A Sinha.   

Abstract

DNA microarrays represent a technological intersection between biology and computers that enables gene expression analysis in human tissues on a genome-wide scale. This application can be expected to prove extremely valuable for the study of the genetic basis of complex diseases. Despite the enormous promise of this revolutionary technology, there are several issues and possible pitfalls that may undermine the authority of the microarray platform. We discuss some of the conceptual, practical, statistical, and logistical issues surrounding the use of microarrays for gene expression profiling. These issues include the imprecise definition of normal in expression comparisons; the cellular and subcellular heterogeneity of the tissues being studied; the difficulty in establishing the statistically valid comparability of arrays; the logistical logjam in analysis, presentation, and archiving of the vast quantities of data generated; and the need for confirmational studies that address the functional relevance of findings. Although several complicated issues must be resolved, the potential payoff remains large.

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Year:  2001        PMID: 11710894     DOI: 10.1001/jama.286.18.2280

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  46 in total

Review 1.  Genetics 101: detecting mutations in human genes.

Authors:  Alison Sinclair
Journal:  CMAJ       Date:  2002-08-06       Impact factor: 8.262

2.  SAGE Genie: a suite with panoramic view of gene expression.

Authors:  Peng Liang
Journal:  Proc Natl Acad Sci U S A       Date:  2002-08-23       Impact factor: 11.205

3.  Differentially expressed genes between solitary large hepatocellular carcinoma and nodular hepatocellular carcinoma.

Authors:  Lian-Yue Yang; Wei Wang; Ji-Xiang Peng; Jie-Quan Yang; Gen-Wen Huang
Journal:  World J Gastroenterol       Date:  2004-12-15       Impact factor: 5.742

Review 4.  DNA microarrays--techniques and applications in microbial systems.

Authors:  T Majtán; G Bukovská; J Timko
Journal:  Folia Microbiol (Praha)       Date:  2004       Impact factor: 2.099

5.  Comparison of the predictive accuracy of DNA array-based multigene classifiers across cDNA arrays and Affymetrix GeneChips.

Authors:  James Stec; Jing Wang; Kevin Coombes; Mark Ayers; Sebastian Hoersch; David L Gold; Jeffrey S Ross; Kenneth R Hess; Stephen Tirrell; Gerald Linette; Gabriel N Hortobagyi; W Fraser Symmans; Lajos Pusztai
Journal:  J Mol Diagn       Date:  2005-08       Impact factor: 5.568

6.  Self-assembled combinatorial encoding nanoarrays for multiplexed biosensing.

Authors:  Chenxiang Lin; Yan Liu; Hao Yan
Journal:  Nano Lett       Date:  2007-02       Impact factor: 11.189

Review 7.  Recent advances in genetic predisposition to clinical acute lung injury.

Authors:  Li Gao; Kathleen C Barnes
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2009-02-13       Impact factor: 5.464

8.  Effects of curcumin on the gene expression profile of L-02 cells.

Authors:  Mingjie Zhou; Chunlei Fan; Nan Tian
Journal:  Biomed Rep       Date:  2015-05-04

9.  Systematic analysis and validation of differential gene expression in ovarian serous adenocarcinomas and normal ovary.

Authors:  Dirk Bauerschlag; Karen Bräutigam; Roland Moll; Jalid Sehouli; Alexander Mustea; Darius Salehin; Maryla Krajewska; John C Reed; Nicolai Maass; Garret M Hampton; Ivo Meinhold-Heerlein
Journal:  J Cancer Res Clin Oncol       Date:  2012-10-23       Impact factor: 4.553

Review 10.  Expression profiling of human breast cancers and gene regulation by progesterone receptors.

Authors:  Britta M Jacobsen; Jennifer K Richer; Carol A Sartorius; Kathryn B Horwitz
Journal:  J Mammary Gland Biol Neoplasia       Date:  2003-07       Impact factor: 2.673

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