Literature DB >> 17607306

Mining gene expression profiles: expression signatures as cancer phenotypes.

Joseph R Nevins1, Anil Potti.   

Abstract

Many examples highlight the power of gene expression profiles, or signatures, to inform an understanding of biological phenotypes. This is perhaps best seen in the context of cancer, where expression signatures have tremendous power to identify new subtypes and to predict clinical outcomes. Although the ability to interpret the meaning of the individual genes in these signatures remains a challenge, this does not diminish the power of the signature to characterize biological states. The use of these signatures as surrogate phenotypes has been particularly important, linking diverse experimental systems that dissect the complexity of biological systems with the in vivo setting in a way that was not previously feasible.

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Year:  2007        PMID: 17607306     DOI: 10.1038/nrg2137

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  83 in total

1.  Transforming the practice of medicine using genomics.

Authors:  Geoffrey S Ginsburg; Geoffrey S Ginsburg; Jeanette J McCarthy
Journal:  Clin Cases Miner Bone Metab       Date:  2009-01

2.  Integrative genomic and proteomic analyses identify targets for Lkb1-deficient metastatic lung tumors.

Authors:  Julian Carretero; Takeshi Shimamura; Klarisa Rikova; Autumn L Jackson; Matthew D Wilkerson; Christa L Borgman; Matthew S Buttarazzi; Benjamin A Sanofsky; Kate L McNamara; Kathleyn A Brandstetter; Zandra E Walton; Ting-Lei Gu; Jeffrey C Silva; Katherine Crosby; Geoffrey I Shapiro; Sauveur-Michel Maira; Hongbin Ji; Diego H Castrillon; Carla F Kim; Carlos García-Echeverría; Nabeel Bardeesy; Norman E Sharpless; Neil D Hayes; William Y Kim; Jeffrey A Engelman; Kwok-Kin Wong
Journal:  Cancer Cell       Date:  2010-06-15       Impact factor: 31.743

3.  Using a stem cell-based signature to guide therapeutic selection in cancer.

Authors:  Igor Shats; Michael L Gatza; Jeffrey T Chang; Seiichi Mori; Jialiang Wang; Jeremy Rich; Joseph R Nevins
Journal:  Cancer Res       Date:  2010-12-17       Impact factor: 12.701

Review 4.  Tilting at quixotic trait loci (QTL): an evolutionary perspective on genetic causation.

Authors:  Kenneth M Weiss
Journal:  Genetics       Date:  2008-08       Impact factor: 4.562

5.  Cross-platform expression microarray performance in a mouse model of mitochondrial disease therapy.

Authors:  Zhe Zhang; David L Gasser; Eric F Rappaport; Marni J Falk
Journal:  Mol Genet Metab       Date:  2009-10-30       Impact factor: 4.797

Review 6.  Integration and analysis of genome-scale data from gliomas.

Authors:  Gregory Riddick; Howard A Fine
Journal:  Nat Rev Neurol       Date:  2011-07-05       Impact factor: 42.937

7.  Minimization of biosynthetic costs in adaptive gene expression responses of yeast to environmental changes.

Authors:  Ester Vilaprinyo; Rui Alves; Albert Sorribas
Journal:  PLoS Comput Biol       Date:  2010-02-12       Impact factor: 4.475

8.  Protein-protein interaction reveals synergistic discrimination of cancer phenotype.

Authors:  Jianghui Xiong; Juan Liu; Simon Rayner; Yinghui Li; Shanguang Chen
Journal:  Cancer Inform       Date:  2010-03-26

9.  Integrating Epigenomics into Pharmacogenomic Studies.

Authors:  Wei Zhang; R Stephanie Huang; M Eileen Dolan
Journal:  Pharmgenomics Pers Med       Date:  2008-11

10.  Molecular phenotypes distinguish patients with relatively stable from progressive idiopathic pulmonary fibrosis (IPF).

Authors:  Kathy Boon; Nathaniel W Bailey; Jun Yang; Mark P Steel; Steve Groshong; Dolly Kervitsky; Kevin K Brown; Marvin I Schwarz; David A Schwartz
Journal:  PLoS One       Date:  2009-04-06       Impact factor: 3.240

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