Isotropic actomyosin dynamics promote organization of the apical cell cortex in epithelial cells
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Klingner-2014-Isotropic actomyosin.pdf
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Author(s)
Bathe, Mark
Diesinger, Philipp M.
Klingner, Christoph
Cherian, Anoop V.
Fels, Johannes
Aufschnaiter, Roland
Maghelli, Nicola
Keil, Thomas
Beck, Gisela
Tolic-Norrelykke, Iva M.
Date Issued
October 2014
Journal
Journal of Cell Biology
Publisher
Rockefeller University Press, The
Citation
Klingner, Christoph, Anoop V. Cherian, Johannes Fels, Philipp M. Diesinger, Roland Aufschnaiter, Nicola Maghelli, Thomas Keil, et al. “Isotropic Actomyosin Dynamics Promote Organization of the Apical Cell Cortex in Epithelial Cells.” The Journal of Cell Biology 207, no. 1 (October 13, 2014): 107–121.
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Final published version
Abstract
Although cortical actin plays an important role in cellular mechanics and morphogenesis, there is surprisingly little information on cortex organization at the apical surface of cells. In this paper, we characterize organization and dynamics of microvilli (MV) and a previously unappreciated actomyosin network at the apical surface of Madin–Darby canine kidney cells. In contrast to short and static MV in confluent cells, the apical surfaces of nonconfluent epithelial cells (ECs) form highly dynamic protrusions, which are often oriented along the plane of the membrane. These dynamic MV exhibit complex and spatially correlated reorganization, which is dependent on myosin II activity. Surprisingly, myosin II is organized into an extensive network of filaments spanning the entire apical membrane in nonconfluent ECs. Dynamic MV, myosin filaments, and their associated actin filaments form an interconnected, prestressed network. Interestingly, this network regulates lateral mobility of apical membrane probes such as integrins or epidermal growth factor receptors, suggesting that coordinated actomyosin dynamics contributes to apical cell membrane organization.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Laboratory for Computational Cell Biology & Biophysics
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DOI of Published Version
https://doi.org/10.1083/jcb.201402037
