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Biomarker Discovery: Identification of a Growth Factor Gene Signature
Author(s) -
Loboda A,
Nebozhyn M,
Cheng C,
Vessey R,
Huang P,
Dai H,
Watters JW
Publication year - 2009
Publication title -
clinical pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 188
eISSN - 1532-6535
pISSN - 0009-9236
DOI - 10.1038/clpt.2009.48
Subject(s) - tensin , pten , computational biology , gene signature , biomarker discovery , gene expression , identification (biology) , biology , microarray , gene , microarray analysis techniques , biomarker , gene expression profiling , signature (topology) , bioinformatics , pi3k/akt/mtor pathway , genetics , signal transduction , proteomics , botany , geometry , mathematics
Gene expression signatures can be developed as comprehensive pathway readouts and used as pharmacodynamic or patient‐stratification biomarkers. 1 , 2 While a consensus on the best practices for selecting gene expression signatures from microarray data is evolving, we have developed basic guidelines to ensure consistency and quality. Here we illustrate these guidelines through the identification of a growth factor gene expression signature that is responsive to phosphatidylinositol 3‐kinase (PI3K) pathway perturbations in vitro and related to phosphatase and tensin homolog (PTEN) deregulation in vivo . Clinical Pharmacology & Therapeutics (2009); 86 , 1, 92–96 doi: 10.1038/clpt.2009.48