Tom Brandstätter, Emily Brieger, David B. Brückner, Georg Ladurner, Joachim Rädler, Chase P. Broedersz
{"title":"从碰撞实验中学习运动细胞间接触互动的现象学理论","authors":"Tom Brandstätter, Emily Brieger, David B. Brückner, Georg Ladurner, Joachim Rädler, Chase P. Broedersz","doi":"arxiv-2407.17268","DOIUrl":null,"url":null,"abstract":"The migration behavior of colliding cells is critically determined by\ntransient contact-interactions. During these interactions, the motility\nmachinery, including the front-rear polarization of the cell, dynamically\nresponds to surface protein-mediated transmission of forces and biochemical\nsignals between cells. While biomolecular details of such contact-interactions\nare increasingly well understood, it remains unclear what biophysical\ninteraction mechanisms govern the cell-level dynamics of colliding cells and\nhow these mechanisms vary across cell types. Here, we develop a\nphenomenological theory based on eleven candidate contact-interaction\nmechanisms coupling cell position, shape, and polarity. Using high-throughput\nmicropattern experiments, we detect which of these phenomenological\ncontact-interactions captures the interaction behaviors of cells. We find that\nvarious cell types - ranging from mesenchymal to epithelial cells - are\naccurately captured by a single model with only two interaction mechanisms:\npolarity-protrusion coupling and polarity-polarity coupling. The qualitatively\ndifferent interaction behaviors of distinct cells, as well as cells subject to\nmolecular perturbations of surface protein-mediated signaling, can all be\nquantitatively captured by varying the strength and sign of the\npolarity-polarity coupling mechanism. Altogether, our data-driven\nphenomenological theory of cell-cell interactions reveals polarity-polarity\ncoupling as a versatile and general contact-interaction mechanism, which may\nunderlie diverse collective migration behavior of motile cells.","PeriodicalId":501321,"journal":{"name":"arXiv - QuanBio - Cell Behavior","volume":"15 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Learning a phenomenological theory for contact-interactions between motile cells from collision experiments\",\"authors\":\"Tom Brandstätter, Emily Brieger, David B. Brückner, Georg Ladurner, Joachim Rädler, Chase P. Broedersz\",\"doi\":\"arxiv-2407.17268\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The migration behavior of colliding cells is critically determined by\\ntransient contact-interactions. During these interactions, the motility\\nmachinery, including the front-rear polarization of the cell, dynamically\\nresponds to surface protein-mediated transmission of forces and biochemical\\nsignals between cells. While biomolecular details of such contact-interactions\\nare increasingly well understood, it remains unclear what biophysical\\ninteraction mechanisms govern the cell-level dynamics of colliding cells and\\nhow these mechanisms vary across cell types. Here, we develop a\\nphenomenological theory based on eleven candidate contact-interaction\\nmechanisms coupling cell position, shape, and polarity. Using high-throughput\\nmicropattern experiments, we detect which of these phenomenological\\ncontact-interactions captures the interaction behaviors of cells. We find that\\nvarious cell types - ranging from mesenchymal to epithelial cells - are\\naccurately captured by a single model with only two interaction mechanisms:\\npolarity-protrusion coupling and polarity-polarity coupling. The qualitatively\\ndifferent interaction behaviors of distinct cells, as well as cells subject to\\nmolecular perturbations of surface protein-mediated signaling, can all be\\nquantitatively captured by varying the strength and sign of the\\npolarity-polarity coupling mechanism. Altogether, our data-driven\\nphenomenological theory of cell-cell interactions reveals polarity-polarity\\ncoupling as a versatile and general contact-interaction mechanism, which may\\nunderlie diverse collective migration behavior of motile cells.\",\"PeriodicalId\":501321,\"journal\":{\"name\":\"arXiv - QuanBio - Cell Behavior\",\"volume\":\"15 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-24\",\"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-2407.17268\",\"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-2407.17268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Learning a phenomenological theory for contact-interactions between motile cells from collision experiments
The migration behavior of colliding cells is critically determined by
transient contact-interactions. During these interactions, the motility
machinery, including the front-rear polarization of the cell, dynamically
responds to surface protein-mediated transmission of forces and biochemical
signals between cells. While biomolecular details of such contact-interactions
are increasingly well understood, it remains unclear what biophysical
interaction mechanisms govern the cell-level dynamics of colliding cells and
how these mechanisms vary across cell types. Here, we develop a
phenomenological theory based on eleven candidate contact-interaction
mechanisms coupling cell position, shape, and polarity. Using high-throughput
micropattern experiments, we detect which of these phenomenological
contact-interactions captures the interaction behaviors of cells. We find that
various cell types - ranging from mesenchymal to epithelial cells - are
accurately captured by a single model with only two interaction mechanisms:
polarity-protrusion coupling and polarity-polarity coupling. The qualitatively
different interaction behaviors of distinct cells, as well as cells subject to
molecular perturbations of surface protein-mediated signaling, can all be
quantitatively captured by varying the strength and sign of the
polarity-polarity coupling mechanism. Altogether, our data-driven
phenomenological theory of cell-cell interactions reveals polarity-polarity
coupling as a versatile and general contact-interaction mechanism, which may
underlie diverse collective migration behavior of motile cells.