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dc.contributor.authorPOLIZZI, Stefano
dc.contributor.authorARNEODO, Alain
dc.contributor.authorPÉREZ-RECHE, Francisco-José
hal.structure.identifierLaboratoire Ondes et Matière d'Aquitaine [LOMA]
dc.contributor.authorARGOUL, Françoise
dc.date.issued2021-01-28
dc.identifier.issn2297-4687
dc.description.abstractEnActin is the major cytoskeletal protein of mammal cells that forms microfilaments organized into higher-order structures by a dynamic assembly-disassembly mechanism with crosslinkers. These networks provide the cells with mechanical support, and allow cells to change their shape, migrate, divide and develop a mechanical communication with their environment. The quick adaptation of these networks upon stretch or compression is important for cell survival in real situations. Using atomic force microscopy to poke living cells with sharp tips, we revealed that they respond to a local and quick shear through a cascade of random and abrupt ruptures of their cytoskeleton, suggesting that they behave as a quasi-rigid random network of intertwined filaments. Surprisingly, the distribution of the strength and the size of these rupture events did not follow power-law statistics but lognormal statistics, suggesting that the mechanics of living cells would not fit into selforganized critical systems. We propose a random Gilbert network to model a cell cytoskeleton, identifying the network nodes as the actin filaments, and its links as the actin cross-linkers. We study mainly two versions of avalanches. First, we do not include the fractional visco-elasticity of living cells, assuming that the ruptures are instantaneous, and we observe three avalanche regimes, 1) a regime where avalanches are rapidly interrupted, and their size follows a distribution decaying faster than a power-law; 2) an explosive regime with avalanches of large size where the whole network is damaged and 3) an intermediate regime where the avalanche distribution goes from a power-law, at the critical point, to a distribution containing both 1) and (ii). Then, we introduce a time varying breaking probability, to include the fractional visco-elasticity of living cells, and recover an approximated log-normal distribution of avalanche sizes, similar to those observed in experiments. Our simulations show that the log-normal statistics requires two simple ingredients: a random network without characteristic length scale, and a breaking rule capturing the broadly observed visco-elasticity of living cells. This work paves the way for future applications to large populations of non-linear individual elements (brain, heart, epidemics,. . .) where similar log-normal statistics have also been observed.
dc.description.sponsorshipAnalyse et modélisation temps fréquence de la rhéologie des systèmes vivants - ANR-18-CE45-0012
dc.language.isoen
dc.publisherFrontiers Media S.A
dc.subject.enrandom network
dc.subject.enavalanches
dc.subject.enlog-normal distributions
dc.subject.enpower-law
dc.subject.encell plasticity
dc.subject.encytoskeleton ruptures
dc.title.enEmergence of Log-Normal Type Distributions in Avalanche Processes in Living Systems: A Network Model
dc.typeArticle de revue
dc.identifier.doi10.3389/fams.2020.613962
dc.subject.halPhysique [physics]/Physique [physics]/Biophysique [physics.bio-ph]
dc.subject.halScience non linéaire [physics]/Adaptation et Systèmes auto-organisés [nlin.AO]
dc.subject.halPhysique [physics]/Matière Condensée [cond-mat]/Mécanique statistique [cond-mat.stat-mech]
dc.subject.halPhysique [physics]/Matière Condensée [cond-mat]/Systèmes désordonnés et réseaux de neurones [cond-mat.dis-nn]
bordeaux.journalFrontiers in Applied Mathematics and Statistics
bordeaux.peerReviewedoui
hal.identifierhal-03421154
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03421154v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Frontiers%20in%20Applied%20Mathematics%20and%20Statistics&rft.date=2021-01-28&rft.eissn=2297-4687&rft.issn=2297-4687&rft.au=POLIZZI,%20Stefano&ARNEODO,%20Alain&P%C3%89REZ-RECHE,%20Francisco-Jos%C3%A9&ARGOUL,%20Fran%C3%A7oise&rft.genre=article


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