Publication:
Molecular networks in skeletal muscle plasticity.

cris.virtualsource.author-orcidd40ed390-4c12-4e66-a24b-f19362b70cfd
datacite.rightsopen.access
dc.contributor.authorHoppeler, Hans-Heinrich
dc.date.accessioned2024-10-25T05:05:10Z
dc.date.available2024-10-25T05:05:10Z
dc.date.issued2016-01
dc.description.abstractThe skeletal muscle phenotype is subject to considerable malleability depending on use as well as internal and external cues. In humans, low-load endurance-type exercise leads to qualitative changes of muscle tissue characterized by an increase in structures supporting oxygen delivery and consumption, such as capillaries and mitochondria. High-load strength-type exercise leads to growth of muscle fibers dominated by an increase in contractile proteins. In endurance exercise, stress-induced signaling leads to transcriptional upregulation of genes, with Ca(2+) signaling and the energy status of the muscle cells sensed through AMPK being major input determinants. Several interrelated signaling pathways converge on the transcriptional co-activator PGC-1α, perceived to be the coordinator of much of the transcriptional and post-transcriptional processes. Strength training is dominated by a translational upregulation controlled by mTORC1. mTORC1 is mainly regulated by an insulin- and/or growth-factor-dependent signaling cascade as well as mechanical and nutritional cues. Muscle growth is further supported by DNA recruitment through activation and incorporation of satellite cells. In addition, there are several negative regulators of muscle mass. We currently have a good descriptive understanding of the molecular mechanisms controlling the muscle phenotype. The topology of signaling networks seems highly conserved among species, with the signaling outcome being dependent on the particular way individual species make use of the options offered by the multi-nodal networks. As a consequence, muscle structural and functional modifications can be achieved by an almost unlimited combination of inputs and downstream signaling events.
dc.description.numberOfPages9
dc.description.sponsorshipInstitut für Anatomie
dc.identifier.doi10.7892/boris.95136
dc.identifier.pmid26792332
dc.identifier.publisherDOI10.1242/jeb.128207
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/149621
dc.language.isoen
dc.publisherCompany of Biologists
dc.relation.ispartofJournal of Experimental Biology
dc.relation.issn0022-0949
dc.relation.organizationDCD5A442BCD7E17DE0405C82790C4DE2
dc.subjectCapillary
dc.subjectEndurance
dc.subjectMitochondria
dc.subjectMolecular
dc.subjectMyofibrils
dc.subjectPathways
dc.subjectSkeletal muscle
dc.subjectStrength
dc.subject.ddc600 - Technology::610 - Medicine & health
dc.titleMolecular networks in skeletal muscle plasticity.
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.endPage213
oaire.citation.issuePt 2
oaire.citation.startPage205
oaire.citation.volume219
oairecerif.author.affiliationInstitut für Anatomie
unibe.contributor.rolecreator
unibe.description.ispublishedpub
unibe.eprints.legacyId95136
unibe.journal.abbrevTitleJ EXP BIOL
unibe.refereedtrue
unibe.subtype.articlereview

Files

Original bundle
Now showing 1 - 1 of 1
Name:
205.full.pdf
Size:
364.65 KB
Format:
Adobe Portable Document Format
File Type:
text
License:
publisher
Content:
published

Collections