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Network analysis of...
Network analysis of human muscle adaptation to aging and contraction
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- Willis, Craig R.G. (författare)
- Department of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
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- Ames, Ryan M. (författare)
- Biosciences, University of Exeter, Exeter, UK
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- Deane, Colleen S. (författare)
- Department of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
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- Phillips, Bethan E. (författare)
- MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
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- Boereboom, Catherine L. (författare)
- MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
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- Abdulla, Haitham (författare)
- MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
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- Bukhari, Syed S.I. (författare)
- MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
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- Lund, Jonathan N (författare)
- Department of Surgery, Postgraduate Entry Medical School, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK; Department of Surgery, Postgraduate Entry Medical School, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
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- Williams, John P. (författare)
- MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
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- Wilkinson, Daniel J. (författare)
- MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
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- Smith, Kenneth (författare)
- MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
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- Kadi, Fawzi, 1970- (författare)
- Örebro universitet,Institutionen för hälsovetenskaper
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- Szewczyk, Nathaniel J. (författare)
- MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
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- Atherton, Philip J. (författare)
- MRC-ARUK Centre for Musculoskeletal aging Research and National Institute of Health Research, Biomedical Research Centre, Royal Derby Hospital Centre, School of Medicine, University of Nottingham, Derby, UK
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- Etheridge, Timothy (författare)
- Department of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
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(creator_code:org_t)
- 2020-01-07
- 2020
- Engelska.
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Ingår i: Aging. - : Impact Journals LLC. - 1945-4589. ; 12:1, s. 740-755
- Relaterad länk:
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https://doi.org/10.1...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Resistance exercise (RE) remains a primary approach for minimising aging muscle decline. Understanding muscle adaptation to individual contractile components of RE (eccentric, concentric) might optimise RE-based intervention strategies. Herein, we employed a network-driven pipeline to identify putative molecular drivers of muscle aging and contraction mode responses. RNA-sequencing data was generated from young (21±1 y) and older (70±1 y) human skeletal muscle before and following acute unilateral concentric and contralateral eccentric contractions. Application of weighted gene co-expression network analysis identified 33 distinct gene clusters ('modules') with an expression profile regulated by aging, contraction and/or linked to muscle strength. These included two contraction 'responsive' modules (related to 'cell adhesion' and 'transcription factor' processes) that also correlated with the magnitude of post-exercise muscle strength decline. Module searches for 'hub' genes and enriched transcription factor binding sites established a refined set of candidate module-regulatory molecules (536 hub genes and 60 transcription factors) as possible contributors to muscle aging and/or contraction responses. Thus, network-driven analysis can identify new molecular candidates of functional relevance to muscle aging and contraction mode adaptations.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Geriatrik (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Geriatrics (hsv//eng)
Nyckelord
- Aging
- candidate target discovery
- contraction
- network analysis
- skeletal muscle
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- ref (ämneskategori)
- art (ämneskategori)
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Aging
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- Av författaren/redakt...
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Willis, Craig R. ...
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Ames, Ryan M.
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Deane, Colleen S ...
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Phillips, Bethan ...
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Boereboom, Cathe ...
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Abdulla, Haitham
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Bukhari, Syed S. ...
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Lund, Jonathan N
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Williams, John P ...
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Wilkinson, Danie ...
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Smith, Kenneth
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Kadi, Fawzi, 197 ...
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Szewczyk, Nathan ...
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Atherton, Philip ...
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Etheridge, Timot ...
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- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Geriatrik
- Artiklar i publikationen
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Aging
- Av lärosätet
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Örebro universitet