Mean-cluster approach indicates cell sorting time scales are determined by collective dynamics
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/169040 |
Resumo: | Cell migration is essential to cell segregation, playing a central role in tissue formation, wound healing, and tumor evolution. Considering random mixtures of two cell types, it is still not clear which cell characteristics define clustering time scales. The mass of diffusing clusters merging with one another is expected to grow as td/d+2 when the diffusion constant scales with the inverse of the cluster mass. Cell segregation experiments deviate from that behavior. Explanations for that could arise from specific microscopic mechanisms or from collective effects, typical of active matter. Here we consider a power law connecting diffusion constant and cluster mass to propose an analytic approach to model cell segregation where we explicitly take into account finite-size corrections. The results are compared with active matter model simulations and experiments available in the literature. To investigate the role played by different mechanisms we considered different hypotheses describing cell-cell interaction: differential adhesion hypothesis and different velocities hypothesis. We find that the simulations yield normal diffusion for long time intervals. Analytic and simulation results show that (i) cluster evolution clearly tends to a scaling regime, disrupted only at finite-size limits; (ii) cluster diffusion is greatly enhanced by cell collective behavior, such that for high enough tendency to follow the neighbors, cluster diffusion may become independent of cluster size; (iii) the scaling exponent for cluster growth depends only on the mass-diffusion relation, not on the detailed local segregation mechanism. These results apply for active matter systems in general and, in particular, the mechanisms found underlying the increase in cell sorting speed certainly have deep implications in biological evolution as a selection mechanism. |
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Beatrici, Carine PriscilaAlmeida, Rita Maria Cunha deBrunnet, Leonardo Gregory2017-09-28T02:28:45Z20171539-3755http://hdl.handle.net/10183/169040001025520Cell migration is essential to cell segregation, playing a central role in tissue formation, wound healing, and tumor evolution. Considering random mixtures of two cell types, it is still not clear which cell characteristics define clustering time scales. The mass of diffusing clusters merging with one another is expected to grow as td/d+2 when the diffusion constant scales with the inverse of the cluster mass. Cell segregation experiments deviate from that behavior. Explanations for that could arise from specific microscopic mechanisms or from collective effects, typical of active matter. Here we consider a power law connecting diffusion constant and cluster mass to propose an analytic approach to model cell segregation where we explicitly take into account finite-size corrections. The results are compared with active matter model simulations and experiments available in the literature. To investigate the role played by different mechanisms we considered different hypotheses describing cell-cell interaction: differential adhesion hypothesis and different velocities hypothesis. We find that the simulations yield normal diffusion for long time intervals. Analytic and simulation results show that (i) cluster evolution clearly tends to a scaling regime, disrupted only at finite-size limits; (ii) cluster diffusion is greatly enhanced by cell collective behavior, such that for high enough tendency to follow the neighbors, cluster diffusion may become independent of cluster size; (iii) the scaling exponent for cluster growth depends only on the mass-diffusion relation, not on the detailed local segregation mechanism. These results apply for active matter systems in general and, in particular, the mechanisms found underlying the increase in cell sorting speed certainly have deep implications in biological evolution as a selection mechanism.application/pdfengPhysical review. E, Statistical, nonlinear, and soft matter physics. Melville. Vol. 95, no. 3 (Mar. 2017), 032402, 8 p.Separação celularAdesão celularSimulação computacionalMean-cluster approach indicates cell sorting time scales are determined by collective dynamicsEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL001025520.pdf001025520.pdfTexto completo (inglês)application/pdf2309633http://www.lume.ufrgs.br/bitstream/10183/169040/1/001025520.pdf50a5190af839fccac818bcf4d8fe0185MD51TEXT001025520.pdf.txt001025520.pdf.txtExtracted Texttext/plain37219http://www.lume.ufrgs.br/bitstream/10183/169040/2/001025520.pdf.txta8ce8139f483263c8d0766e1d68d12ddMD52THUMBNAIL001025520.pdf.jpg001025520.pdf.jpgGenerated Thumbnailimage/jpeg2221http://www.lume.ufrgs.br/bitstream/10183/169040/3/001025520.pdf.jpgf8449879881d2719a850332ff133c820MD5310183/1690402024-05-18 06:24:31.296701oai:www.lume.ufrgs.br:10183/169040Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2024-05-18T09:24:31Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Mean-cluster approach indicates cell sorting time scales are determined by collective dynamics |
title |
Mean-cluster approach indicates cell sorting time scales are determined by collective dynamics |
spellingShingle |
Mean-cluster approach indicates cell sorting time scales are determined by collective dynamics Beatrici, Carine Priscila Separação celular Adesão celular Simulação computacional |
title_short |
Mean-cluster approach indicates cell sorting time scales are determined by collective dynamics |
title_full |
Mean-cluster approach indicates cell sorting time scales are determined by collective dynamics |
title_fullStr |
Mean-cluster approach indicates cell sorting time scales are determined by collective dynamics |
title_full_unstemmed |
Mean-cluster approach indicates cell sorting time scales are determined by collective dynamics |
title_sort |
Mean-cluster approach indicates cell sorting time scales are determined by collective dynamics |
author |
Beatrici, Carine Priscila |
author_facet |
Beatrici, Carine Priscila Almeida, Rita Maria Cunha de Brunnet, Leonardo Gregory |
author_role |
author |
author2 |
Almeida, Rita Maria Cunha de Brunnet, Leonardo Gregory |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Beatrici, Carine Priscila Almeida, Rita Maria Cunha de Brunnet, Leonardo Gregory |
dc.subject.por.fl_str_mv |
Separação celular Adesão celular Simulação computacional |
topic |
Separação celular Adesão celular Simulação computacional |
description |
Cell migration is essential to cell segregation, playing a central role in tissue formation, wound healing, and tumor evolution. Considering random mixtures of two cell types, it is still not clear which cell characteristics define clustering time scales. The mass of diffusing clusters merging with one another is expected to grow as td/d+2 when the diffusion constant scales with the inverse of the cluster mass. Cell segregation experiments deviate from that behavior. Explanations for that could arise from specific microscopic mechanisms or from collective effects, typical of active matter. Here we consider a power law connecting diffusion constant and cluster mass to propose an analytic approach to model cell segregation where we explicitly take into account finite-size corrections. The results are compared with active matter model simulations and experiments available in the literature. To investigate the role played by different mechanisms we considered different hypotheses describing cell-cell interaction: differential adhesion hypothesis and different velocities hypothesis. We find that the simulations yield normal diffusion for long time intervals. Analytic and simulation results show that (i) cluster evolution clearly tends to a scaling regime, disrupted only at finite-size limits; (ii) cluster diffusion is greatly enhanced by cell collective behavior, such that for high enough tendency to follow the neighbors, cluster diffusion may become independent of cluster size; (iii) the scaling exponent for cluster growth depends only on the mass-diffusion relation, not on the detailed local segregation mechanism. These results apply for active matter systems in general and, in particular, the mechanisms found underlying the increase in cell sorting speed certainly have deep implications in biological evolution as a selection mechanism. |
publishDate |
2017 |
dc.date.accessioned.fl_str_mv |
2017-09-28T02:28:45Z |
dc.date.issued.fl_str_mv |
2017 |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
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001025520 |
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http://hdl.handle.net/10183/169040 |
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eng |
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eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Physical review. E, Statistical, nonlinear, and soft matter physics. Melville. Vol. 95, no. 3 (Mar. 2017), 032402, 8 p. |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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