The Role of Eif6 in Skeletal Muscle Homeostasis Revealed by Endurance Training Co-expression Networks
Kim Clarke,
Sara Ricciardi,
Tim Pearson,
Izwan Bharudin,
Peter K. Davidsen,
Michela Bonomo,
Daniela Brina,
Alessandra Scagliola,
Deborah M. Simpson,
Robert J. Beynon,
Farhat Khanim,
John Ankers,
Mark A. Sarzynski,
Sujoy Ghosh,
Addolorata Pisconti,
Jan Rozman,
Martin Hrabe de Angelis,
Chris Bunce,
Claire Stewart,
Stuart Egginton,
Mark Caddick,
Malcolm Jackson,
Claude Bouchard,
Stefano Biffo,
Francesco Falciani
Affiliations
Kim Clarke
Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK
Sara Ricciardi
Molecular Histology and Cell Growth Unit, INGM - Fondazione Istituto Nazionale Genetica Molecolare, 20122 Milan, Italy
Tim Pearson
Department of Medicine, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK
Izwan Bharudin
Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK; School of Biosciences and Biotechnology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
Peter K. Davidsen
Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK
Michela Bonomo
Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK
Daniela Brina
Molecular Histology and Cell Growth Unit, INGM - Fondazione Istituto Nazionale Genetica Molecolare, 20122 Milan, Italy
Alessandra Scagliola
Molecular Histology and Cell Growth Unit, INGM - Fondazione Istituto Nazionale Genetica Molecolare, 20122 Milan, Italy
Deborah M. Simpson
Centre for Proteome Research, Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK
Robert J. Beynon
Centre for Proteome Research, Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK
Farhat Khanim
School of Biosciences, University of Birmingham, Birmingham B15 2TT, UK
John Ankers
Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK
Mark A. Sarzynski
Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
Sujoy Ghosh
Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
Addolorata Pisconti
Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK
Jan Rozman
German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
Martin Hrabe de Angelis
German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
Chris Bunce
School of Biosciences, University of Birmingham, Birmingham B15 2TT, UK
Claire Stewart
Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK
Stuart Egginton
School of Biomedical Sciences, University of Leeds, Leeds LS2 9JT, UK
Mark Caddick
Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK
Malcolm Jackson
Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool L7 8TX, UK
Claude Bouchard
Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
Stefano Biffo
Molecular Histology and Cell Growth Unit, INGM - Fondazione Istituto Nazionale Genetica Molecolare, 20122 Milan, Italy; Dipartimento di Bioscienze, Università degli Studi di Milano, 20133 Milan, Italy
Francesco Falciani
Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK; Corresponding author
Summary: Regular endurance training improves muscle oxidative capacity and reduces the risk of age-related disorders. Understanding the molecular networks underlying this phenomenon is crucial. Here, by exploiting the power of computational modeling, we show that endurance training induces profound changes in gene regulatory networks linking signaling and selective control of translation to energy metabolism and tissue remodeling. We discovered that knockdown of the mTOR-independent factor Eif6, which we predicted to be a key regulator of this process, affects mitochondrial respiration efficiency, ROS production, and exercise performance. Our work demonstrates the validity of a data-driven approach to understanding muscle homeostasis. : Clarke et al. use data-driven reverse engineering to uncover the role of Eif6 in controlling skeletal muscle homeostasis. They achieve this by analyzing the complex network of genes that controls skeletal muscle adaptation to endurance exercise, together with in vivo studies of eif6+/− mice that show decreased respiration efficiency, increased ROS production, and reduced exercise performance. Keywords: skeletal muscle, exercise, Eif6, systems biology, metabolism, mitochondria, network biology