Mechanochemical Coupling and Junctional Forces during Collective Cell Migration

被引:21
作者
Bui, Justin [1 ]
Conway, Daniel E. [2 ]
Heise, Rebecca L. [2 ]
Weinberg, Seth H. [2 ]
机构
[1] Univ Calif Berkeley, Dept Chem Engn, Berkeley, CA 94720 USA
[2] Virginia Commonwealth Univ, Dept Biomed Engn, Richmond, VA 23284 USA
基金
美国国家卫生研究院;
关键词
RHO-GTPASES; MODEL; POLARITY; MORPHOGENESIS; ADHESION; TENSION;
D O I
10.1016/j.bpj.2019.05.020
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Cell migration, a fundamental physiological process in which cells sense and move through their surrounding physical environment, plays a critical role in development and tissue formation, as well as pathological processes, such as cancer metastasis and wound healing. During cell migration, dynamics are governed by the bidirectional interplay between cell-generated mechanical forces and the activity of Rho GTPases, a family of small GTP-binding proteins that regulate actin cytoskeleton assembly and cellular contractility. These interactions are inherently more complex during the collective migration of mechanically coupled cells because of the additional regulation of cell-cell junctional forces. In this study, we adapted a recent minimal modeling framework to simulate the interactions between mechanochemical signaling in individual cells and interactions with cell-cell junctional forces during collective cell migration. We find that migration of individual cells depends on the feedback between mechanical tension and Rho GTPase activity in a biphasic manner. During collective cell migration, waves of Rho GTPase activity mediate mechanical contraction/extension and thus synchronization throughout the tissue. Further, cell-cell junctional forces exhibit distinct spatial patterns during collective cell migration, with larger forces near the leading edge. Larger junctional force magnitudes are associated with faster collective cell migration and larger tissue size. Simulations of heterogeneous tissue migration exhibit a complex dependence on the properties of both leading and trailing cells. Computational predictions demonstrate that collective cell migration depends on both the emergent dynamics and interactions between cellular-level Rho GTPase activity and contractility and multicellular-level junctional forces.
引用
收藏
页码:170 / 183
页数:14
相关论文
共 53 条
[1]   A Cellular Potts Model of single cell migration in presence of durotaxis [J].
Allena, R. ;
Scianna, M. ;
Preziosi, L. .
MATHEMATICAL BIOSCIENCES, 2016, 275 :57-70
[2]   Bipedal Locomotion in Crawling Cells [J].
Barnhart, Erin L. ;
Allen, Greg M. ;
Juelicher, Frank ;
Theriot, Julie A. .
BIOPHYSICAL JOURNAL, 2010, 98 (06) :933-942
[3]   Rho GTPases and their effector proteins [J].
Bishop, AL ;
Hall, A .
BIOCHEMICAL JOURNAL, 2000, 348 (02) :241-255
[4]   Cadherin-11 promotes neural crest cell spreading by reducing intracellular tension-Mapping adhesion and mechanics in neuralcrest explants by atomic force microscopy [J].
Blaue, Carina ;
Kashef, Jubin ;
Franz, Clemens M. .
SEMINARS IN CELL & DEVELOPMENTAL BIOLOGY, 2018, 73 :95-106
[5]   A Cell-Based Model of Extracellular-Matrix-Guided Endothelial Cell Migration During Angiogenesis [J].
Daub, Josephine T. ;
Merks, Roeland M. H. .
BULLETIN OF MATHEMATICAL BIOLOGY, 2013, 75 (08) :1377-1399
[6]   A Model of Fibroblast Motility on Substrates with Different Rigidities [J].
Dokukina, Irina V. ;
Gracheva, Maria E. .
BIOPHYSICAL JOURNAL, 2010, 98 (12) :2794-2803
[7]   Computational analysis of three-dimensional epithelial morphogenesis using vertex models [J].
Du, XinXin ;
Osterfield, Miriam ;
Shvartsman, Stanislav Y. .
PHYSICAL BIOLOGY, 2014, 11 (06)
[8]   Rho GTPases in cell biology [J].
Etienne-Manneville, S ;
Hall, A .
NATURE, 2002, 420 (6916) :629-635
[9]   Collective cell migration in morphogenesis and cancer [J].
Friedl, P ;
Hegerfeldt, Y ;
Tusch, M .
INTERNATIONAL JOURNAL OF DEVELOPMENTAL BIOLOGY, 2004, 48 (5-6) :441-449
[10]   Rho-directed forces in collective migration [J].
Friedl, Peter ;
Wolf, Katarina ;
Zegers, Mirjam M. .
NATURE CELL BIOLOGY, 2014, 16 (03) :208-210