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Exploratory Simulation of Cell Ageing Using Hierarchical Models

hal.structure.identifierMax-Planck-Institut für Molekulare Genetik [MPIMG]
dc.contributor.authorCVIJOVIC, Maria
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierModels and Algorithms for the Genome [ MAGNOME]
dc.contributor.authorSOUEIDAN, Hayssam
hal.structure.identifierMax-Planck-Institut für Molekulare Genetik [MPIMG]
dc.contributor.authorKLIPP, Edda
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierModels and Algorithms for the Genome [ MAGNOME]
dc.contributor.authorSHERMAN, David James
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierModels and Algorithms for the Genome [ MAGNOME]
dc.contributor.authorNIKOLSKI, Macha
dc.date.accessioned2024-04-15T09:50:54Z
dc.date.available2024-04-15T09:50:54Z
dc.date.created2008
dc.date.issued2008
dc.identifier.issn0919-9454
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198387
dc.description.abstractEnThorough knowledge of the model organism S. cerevisiae has fueled efforts in developing theories of cell ageing since the 1950s. Models of these theories aim to provide insight into the general biological processes of ageing, as well as to have predictive power for guiding experimental studies such as cell rejuvenation. Current efforts in in silico modeling are frustrated by the lack of efficient simulation tools that admit precise mathematical models at both cell and population levels simultaneously. We developed a novel hierarchical simulation tool that allows dynamic creation of entities while rigorously preserving the mathematical semantics of the model. We used it to expand a single-cell model of protein damage segregation to a cell population model that explicitly tracks mother-daughter relations. Large-scale exploration of the resulting tree of simulations established that daughters of older mothers show a rejuvenation effect, consistent with experimental results. The combination of a single-cell model and a simulation platform permitting parallel composition and dynamic node creation has proved to be an efficient tool for in silico exploration of cell behavior.
dc.language.isoen
dc.publisherUniversal Academy Press Inc.
dc.subject.ensystems biology
dc.subject.enageing and senescence
dc.subject.enhybrid hierarchical modeling
dc.subject.enyeast
dc.title.enExploratory Simulation of Cell Ageing Using Hierarchical Models
dc.typeArticle de revue
dc.subject.halInformatique [cs]/Bio-informatique [q-bio.QM]
dc.subject.halSciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]
bordeaux.journalGenome Informatics Series
bordeaux.page114--125
bordeaux.volume21
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00407512
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00407512v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Genome%20Informatics%20Series&rft.date=2008&rft.volume=21&rft.spage=114--125&rft.epage=114--125&rft.eissn=0919-9454&rft.issn=0919-9454&rft.au=CVIJOVIC,%20Maria&SOUEIDAN,%20Hayssam&KLIPP,%20Edda&SHERMAN,%20David%20James&NIKOLSKI,%20Macha&rft.genre=article


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