气候变化领域集成服务门户(CCPortal): Learning the dynamics of cell–cell interactions in confined cell migration

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DOI	10.1073/pnas.2016602118
	Learning the dynamics of cell–cell interactions in confined cell migration
	Brückner D.B.; Arlt N.; Fink A.; Ronceray P.; Rädler J.O.; Broedersz C.P.
发表日期	2021
ISSN	00278424
卷号	118 期号:7
英文摘要	The migratory dynamics of cells in physiological processes, ranging from wound healing to cancer metastasis, rely on contact-mediated cell–cell interactions. These interactions play a key role in shaping the stochastic trajectories of migrating cells. While data-driven physical formalisms for the stochastic migration dynamics of single cells have been developed, such a framework for the behavioral dynamics of interacting cells still remains elusive. Here, we monitor stochastic cell trajectories in a minimal experimental cell collider: a dumbbell-shaped micropattern on which pairs of cells perform repeated cellular collisions. We observe different characteristic behaviors, including cells reversing, following, and sliding past each other upon collision. Capitalizing on this large experimental dataset of coupled cell trajectories, we infer an interacting stochastic equation of motion that accurately predicts the observed interaction behaviors. Our approach reveals that interacting noncancerous MCF10A cells can be described by repulsion and friction interactions. In contrast, cancerous MDA-MB-231 cells exhibit attraction and antifriction interactions, promoting the predominant relative sliding behavior observed for these cells. Based on these experimentally inferred interactions, we show how this framework may generalize to provide a unifying theoretical description of the diverse cellular interaction behaviors of distinct cell types. © 2021 National Academy of Sciences. All rights reserved.
英文关键词	Cell migration \| cell–cell interactions \| contact inhibition of locomotion \| stochastic inference
语种	英语
scopus关键词	article; cell interaction; cell migration; contact inhibition; human cell; learning; motion; stochastic model; theoretical study
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/180609
作者单位	Arnold Sommerfeld Center for Theoretical Physics, Department of Physics, Ludwig-Maximilian-University Munich, Munich, D-80333, Germany; Center for NanoScience, Ludwig-Maximilian-University Munich, Munich, D-80333, Germany; Faculty of Physics, Ludwig-Maximilian-University, Munich, D-80539, Germany; Center for the Physics of Biological Function, Princeton University, Princeton, NJ 08544, United States; Department of Physics and Astronomy, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, Netherlands
推荐引用方式 GB/T 7714	Brückner D.B.,Arlt N.,Fink A.,等. Learning the dynamics of cell–cell interactions in confined cell migration[J],2021,118(7).
APA	Brückner D.B.,Arlt N.,Fink A.,Ronceray P.,Rädler J.O.,&Broedersz C.P..(2021).Learning the dynamics of cell–cell interactions in confined cell migration.Proceedings of the National Academy of Sciences of the United States of America,118(7).
MLA	Brückner D.B.,et al."Learning the dynamics of cell–cell interactions in confined cell migration".Proceedings of the National Academy of Sciences of the United States of America 118.7(2021).