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Computational modelling of stem cell-niche interactions facilitates discovery of strategies to enhance tissue regeneration and counteract ageing

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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.accessioned 2021-06-03T07:10:48Z
dc.date.available 2021-06-03T07:10:48Z
dc.date.issued 2022
dc.identifier.citation 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.issn 1742-464X
dc.identifier.uri http://hdl.handle.net/10230/47748
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.sponsorship 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.mimetype application/pdf
dc.language.iso eng
dc.publisher Wiley-Blackwell
dc.relation.ispartof FEBS J. 2022 Mar;289(6):1486-91
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.uri http://creativecommons.org/licenses/by/4.0/
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.identifier.doi http://dx.doi.org/10.1111/febs.15832
dc.subject.keyword Ageing
dc.subject.keyword Computational modelling
dc.subject.keyword Limb muscle
dc.subject.keyword Stem cells
dc.subject.keyword Tissue regeneration
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/741966
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/825825
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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