Using systems biology to define the essential biological networks responsible for adaptation to endurance exercise training

P. Keller, N. Vollaard, J. Babraj, D. Ball, D. A. Sewell, J. A. Timmons

    Research output: Contribution to journalArticle

    33 Citations (Scopus)

    Abstract

    We predict that RNA level regulation is as diverse and powerful as protein level regulation when considering physiological adaptation. Non-coding RNA molecules, such as miRNAs (microRNAs), have emerged as a powerful mechanism for post-transcriptional regulation of mRNA. In an effort to define the role of miRNA in human skeletal-muscle biology, we have initiated profiling of muscle RNA before and after endurance exercise training. The robust molecular phenotype of muscle is established using unbiased analysis strategies of the raw data, reflecting the statistical power of gene ontology and network analysis. We can thus determine the structural features of the skeletal-muscle transcriptome, identify discrete networks activated by training and utilize bioinformatics predictions to establish the interaction between non-coding RNA modulation and Affymetrix expression profiles. ©The Authors.

    Original languageEnglish
    Pages (from-to)1306-1309
    Number of pages4
    JournalBiochemical Society Transactions
    Volume35
    Issue number5
    DOIs
    Publication statusPublished - Nov 2007

    Keywords

    • Affymetrix
    • Endurance exercise
    • Integrin
    • MicroRNA
    • Non-coding RNA
    • Systems biology

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