dc.contributor.author
Potapov, Ilya
dc.contributor.author
García Prat, Laura
dc.contributor.author
Ravichandran, Srikanth
dc.contributor.author
Muñoz Cánoves, Pura, 1962-
dc.contributor.author
del Sol, Antonio
dc.date.issued
2021-06-03T07:10:48Z
dc.date.issued
2021-06-03T07:10:48Z
dc.identifier
Potapov I, García-Prat L, Ravichandran S, Muñoz-Cánoves P, Del Sol A. Computational modelling of stem cell-niche interactions facilitates discovery of strategies to enhance tissue regeneration and counteract ageing. FEBS J. 2022 Mar;289(6):1486-91. DOI: 10.1111/febs.15832
dc.identifier
http://hdl.handle.net/10230/47748
dc.identifier
http://dx.doi.org/10.1111/febs.15832
dc.description.abstract
The stem cell niche is a specialized microenvironment for stem cells in an adult tissue. The niche provides cues for the maintenance and regulation of stem cell activities and thus presents a target for potential rejuvenating strategies. García-Prat et al. found that in the heterogeneous population of quiescent stem cells of skeletal muscles, a fraction of cells responsible for regeneration and having genuine 'stemness' properties deteriorates only in extremely old age. An essential tool used in this analysis of stem cell-niche interactions is the computational tool, NicheHotSpotter, which proved to be instrumental for identifying niche and cell signalling factors that contribute to the maintenance of the pool of genuine quiescent stem cells. NicheHotSpotter predicts candidate factors by analysing signalling interactome and gene regulatory network data in combination with expression profiles. The effect of the niche environment on stem cells is modelled as a mean field of niche cues that induce sustained activation or inhibition of signalling pathways. In this way, NicheHotSpotter has been successful in delineating novel strategies to enhance stemness, which may rejuvenate skeletal muscle cells at the extreme old age.
dc.description.abstract
IP, SR and ADS acknowledge funding from Fonds National de la Recherche Luxembourg, project name InTRinSIC (ref. 11662681). PMC acknowledges funding from MINECO-Spain (RTI2018-096068), ERC-2016-AdG-741966, LaCaixa-HEALTH-HR17-00040, MDA, UPGRADE-H2020-825825, AFM and DPP-Spain to PMC; María-de-Maeztu-Program for Units of Excellence to UPF (MDM-2014-0370); and Severo-Ochoa-Program for Centers of Excellence to CNIC (SEV-2015-0505). LGP was partially supported by an EMBO Fellowship (ALTF 420-2017). Ministerio de Economía y Competitividad.
dc.format
application/pdf
dc.format
application/pdf
dc.publisher
Wiley-Blackwell
dc.relation
FEBS J. 2022 Mar;289(6):1486-91
dc.relation
info:eu-repo/grantAgreement/EC/H2020/741966
dc.relation
info:eu-repo/grantAgreement/EC/H2020/825825
dc.rights
© 2021 The Authors. The FEBS Journal published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Computational modelling
dc.subject
Tissue regeneration
dc.title
Computational modelling of stem cell-niche interactions facilitates discovery of strategies to enhance tissue regeneration and counteract ageing
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion