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Expectations, Validity, and Reality in Gene Expression Profiling

Overview
Publisher Elsevier
Specialty Public Health
Date 2010 Jun 29
PMID 20579843
Citations 26
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Abstract

Objective: To provide a critical overview of gene expression profiling methodology and discuss areas of future development.

Results: Gene expression profiling has been used extensively in biological research and has resulted in significant advances in the understanding of the molecular mechanisms of complex disorders, including cancer, heart disease, and metabolic disorders. However, translating this technology into genomic medicine for use in diagnosis and prognosis faces many challenges. In addition, gene expression profile analysis is frequently controversial, because its conclusions often lack reproducibility and claims of effective dissemination into translational medicine have, in some cases, been remarkably unjustified. In the last decade, a large number of methodological and technical solutions have been offered to overcome the challenges.

Study Design And Setting: We consider the strengths, limitations, and appropriate applications of gene expression profiling techniques, with particular reference to the clinical relevance.

Conclusion: Some studies have demonstrated the ability and clinical utility of gene expression profiling for use as diagnostic, prognostic, and predictive molecular markers. The challenges of gene expression profiling lie with the standardization of analytic approaches and the evaluation of the clinical merit in broader heterogeneous populations by prospective clinical trials.

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References
1.
Galperin M, Cochrane G . Nucleic Acids Research annual Database Issue and the NAR online Molecular Biology Database Collection in 2009. Nucleic Acids Res. 2008; 37(Database issue):D1-4. PMC: 2686608. DOI: 10.1093/nar/gkn942. View

2.
Reddy T, Riley R, Wymore F, Montgomery P, DeCaprio D, Engels R . TB database: an integrated platform for tuberculosis research. Nucleic Acids Res. 2008; 37(Database issue):D499-508. PMC: 2686437. DOI: 10.1093/nar/gkn652. View

3.
Kim K, Perroud B, Espinal G, Kachinskas D, Austrheim-Smith I, Wolfe B . Genes and networks expressed in perioperative omental adipose tissue are correlated with weight loss from Roux-en-Y gastric bypass. Int J Obes (Lond). 2008; 32(9):1395-406. DOI: 10.1038/ijo.2008.106. View

4.
Bammler T, Beyer R, Bhattacharya S, Boorman G, Boyles A, Bradford B . Standardizing global gene expression analysis between laboratories and across platforms. Nat Methods. 2005; 2(5):351-6. DOI: 10.1038/nmeth754. View

5.
Mutch D, Tordjman J, Pelloux V, Hanczar B, Henegar C, Poitou C . Needle and surgical biopsy techniques differentially affect adipose tissue gene expression profiles. Am J Clin Nutr. 2008; 89(1):51-7. DOI: 10.3945/ajcn.2008.26802. View