Literature DB >> 12810198

Expression profiling and pharmacogenomics of muscle and muscle disease.

Eric P Hoffman1, Debra C DuBois, Ruth I Hoffman, Richard R Almon.   

Abstract

Parallel technologies are emerging for the study of DNA (single nucleotide polymorphism genotyping and association studies), and RNA (microarrays and expression profiling). Muscle tissue has many intrinsic features that make it the tissue of choice to model the application of these newly emerging technologies. Well-preserved human biopsies are readily available both from volunteers undergoing specific muscle training protocols and from neuromuscular disease patients. Furthermore, the rapid adaptation of muscle to environmental cues (e.g. exercise, conditioning and weightlessness) makes it possible to conduct time series data in humans (molecular cause and effect). Muscle is also important in drug metabolism and adverse events, and the application of single nucleotide polymorphism association studies in muscle pharmacogenomics is a field of expected future growth.

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Year:  2003        PMID: 12810198     DOI: 10.1016/s1471-4892(03)00041-9

Source DB:  PubMed          Journal:  Curr Opin Pharmacol        ISSN: 1471-4892            Impact factor:   5.547


  1 in total

1.  Meta-analysis of muscle transcriptome data using the MADMuscle database reveals biologically relevant gene patterns.

Authors:  Daniel Baron; Emeric Dubois; Audrey Bihouée; Raluca Teusan; Marja Steenman; Philippe Jourdon; Armelle Magot; Yann Péréon; Reiner Veitia; Frédérique Savagner; Gérard Ramstein; Rémi Houlgatte
Journal:  BMC Genomics       Date:  2011-02-16       Impact factor: 3.969

  1 in total

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