Sumit Sinha, Xin Li, Abdul N Malmi-Kakkada, D. Thirumalai
{"title":"增殖驱动的机械反馈调节生长组织中的细胞动力学","authors":"Sumit Sinha, Xin Li, Abdul N Malmi-Kakkada, D. Thirumalai","doi":"arxiv-2405.01960","DOIUrl":null,"url":null,"abstract":"Local stresses in a tissue, a collective property, regulate cell division and\napoptosis. In turn, cell growth and division induce active stresses in the\ntissue. As a consequence, there is a feedback between cell growth and local\nstresses. However, how the cell dynamics depend on local stress-dependent cell\ndivision and the feedback strength is not fully understood. Here, we probe the\nconsequences of stress-mediated growth and cell division on cell dynamics using\nagent-based simulations of a two-dimensional growing tissue. We discover a rich\ndynamical behavior of individual cells, ranging from jamming (mean square\ndisplacement, $\\Delta (t) \\sim t^{\\alpha}$ with $\\alpha$ less than unity), to\nhyperdiffusion ($\\alpha > 2$) depending on cell division rate and the strength\nof the mechanical feedback. Strikingly, $\\Delta (t)$ is determined by the\ntissue growth law, which quantifies cell proliferation (number of cells $N(t)$\nas a function of time). The growth law ($N(t) \\sim t^{\\lambda}$ at long times)\nis regulated by the critical pressure that controls the strength of the\nmechanical feedback and the ratio between cell division-apoptosis rates. We\nshow that $\\lambda \\sim \\alpha$, which implies that higher growth rate leads to\na greater degree of cell migration. The variations in cell motility are linked\nto the emergence of highly persistent forces extending over several cell cycle\ntimes. Our predictions are testable using cell-tracking imaging techniques.","PeriodicalId":501321,"journal":{"name":"arXiv - QuanBio - Cell Behavior","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Proliferation-driven mechanical feedback regulates cell dynamics in growing tissues\",\"authors\":\"Sumit Sinha, Xin Li, Abdul N Malmi-Kakkada, D. Thirumalai\",\"doi\":\"arxiv-2405.01960\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Local stresses in a tissue, a collective property, regulate cell division and\\napoptosis. In turn, cell growth and division induce active stresses in the\\ntissue. As a consequence, there is a feedback between cell growth and local\\nstresses. However, how the cell dynamics depend on local stress-dependent cell\\ndivision and the feedback strength is not fully understood. Here, we probe the\\nconsequences of stress-mediated growth and cell division on cell dynamics using\\nagent-based simulations of a two-dimensional growing tissue. We discover a rich\\ndynamical behavior of individual cells, ranging from jamming (mean square\\ndisplacement, $\\\\Delta (t) \\\\sim t^{\\\\alpha}$ with $\\\\alpha$ less than unity), to\\nhyperdiffusion ($\\\\alpha > 2$) depending on cell division rate and the strength\\nof the mechanical feedback. Strikingly, $\\\\Delta (t)$ is determined by the\\ntissue growth law, which quantifies cell proliferation (number of cells $N(t)$\\nas a function of time). The growth law ($N(t) \\\\sim t^{\\\\lambda}$ at long times)\\nis regulated by the critical pressure that controls the strength of the\\nmechanical feedback and the ratio between cell division-apoptosis rates. We\\nshow that $\\\\lambda \\\\sim \\\\alpha$, which implies that higher growth rate leads to\\na greater degree of cell migration. The variations in cell motility are linked\\nto the emergence of highly persistent forces extending over several cell cycle\\ntimes. Our predictions are testable using cell-tracking imaging techniques.\",\"PeriodicalId\":501321,\"journal\":{\"name\":\"arXiv - QuanBio - Cell Behavior\",\"volume\":\"27 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Cell Behavior\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2405.01960\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Cell Behavior","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.01960","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Proliferation-driven mechanical feedback regulates cell dynamics in growing tissues
Local stresses in a tissue, a collective property, regulate cell division and
apoptosis. In turn, cell growth and division induce active stresses in the
tissue. As a consequence, there is a feedback between cell growth and local
stresses. However, how the cell dynamics depend on local stress-dependent cell
division and the feedback strength is not fully understood. Here, we probe the
consequences of stress-mediated growth and cell division on cell dynamics using
agent-based simulations of a two-dimensional growing tissue. We discover a rich
dynamical behavior of individual cells, ranging from jamming (mean square
displacement, $\Delta (t) \sim t^{\alpha}$ with $\alpha$ less than unity), to
hyperdiffusion ($\alpha > 2$) depending on cell division rate and the strength
of the mechanical feedback. Strikingly, $\Delta (t)$ is determined by the
tissue growth law, which quantifies cell proliferation (number of cells $N(t)$
as a function of time). The growth law ($N(t) \sim t^{\lambda}$ at long times)
is regulated by the critical pressure that controls the strength of the
mechanical feedback and the ratio between cell division-apoptosis rates. We
show that $\lambda \sim \alpha$, which implies that higher growth rate leads to
a greater degree of cell migration. The variations in cell motility are linked
to the emergence of highly persistent forces extending over several cell cycle
times. Our predictions are testable using cell-tracking imaging techniques.