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      Hydrodynamics of transient cell-cell contact: The role of membrane permeability and active protrusion length

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          Abstract

          In many biological settings, two or more cells come into physical contact to form a cell-cell interface. In some cases, the cell-cell contact must be transient, forming on timescales of seconds. One example is offered by the T cell, an immune cell which must attach to the surface of other cells in order to decipher information about disease. The aspect ratio of these interfaces (tens of nanometers thick and tens of micrometers in diameter) puts them into the thin-layer limit, or “lubrication limit”, of fluid dynamics. A key question is how the receptors and ligands on opposing cells come into contact. What are the relative roles of thermal undulations of the plasma membrane and deterministic forces from active filopodia? We use a computational fluid dynamics algorithm capable of simulating 10-nanometer-scale fluid-structure interactions with thermal fluctuations up to seconds- and microns-scales. We use this to simulate two opposing membranes, variously including thermal fluctuations, active forces, and membrane permeability. In some regimes dominated by thermal fluctuations, proximity is a rare event, which we capture by computing mean first-passage times using a Weighted Ensemble rare-event computational method. Our results demonstrate a parameter regime in which the time it takes for an active force to drive local contact actually increases if the cells are being held closer together (e.g., by nonspecific adhesion), a phenomenon we attribute to the thin-layer effect. This leads to an optimal initial cell-cell separation for fastest receptor-ligand binding, which could have relevance for the role of cellular protrusions like microvilli. We reproduce a previous experimental observation that fluctuation spatial scales are largely unaffected, but timescales are dramatically slowed, by the thin-layer effect. We also find that membrane permeability would need to be above physiological levels to abrogate the thin-layer effect.

          Author summary

          The elastohydrodynamics of water in and around cells is playing an increasingly recognized role in biology. In this work, we investigate the flow of extracellular fluid in between cells during the formation of a cell-cell contact, to determine whether its necessary evacuation as the cells approach is a rate-limiting step before molecules on either cell can interact. To overcome the computational challenges associated with simulating fluid in this mechanically soft, stochastic and high-aspect-ratio environment, we extend a computational framework where the cell plasma membranes are treated as immersed boundaries in the fluid, and combine this with computational methods for simulating stochastic rare events in which an ensemble of simulations are given weights according to their probability. We find that the membranes fluctuate independently with a characteristic timescale of approximately microseconds, but that as the cells approach, a new, slower timescale of approximately milliseconds is introduced. Thermal undulations nor typical amounts of membrane permeability can overcome the timescale, but active forces, e.g., from the cytoskeleton, can. Our results suggest an explanation for differences in molecular interactions in live cells compared to in vitro reconstitution experiments.

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          Most cited references51

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          Actin, a central player in cell shape and movement.

          The protein actin forms filaments that provide cells with mechanical support and driving forces for movement. Actin contributes to biological processes such as sensing environmental forces, internalizing membrane vesicles, moving over surfaces, and dividing the cell in two. These cellular activities are complex; they depend on interactions of actin monomers and filaments with numerous other proteins. Here, we present a summary of the key questions in the field and suggest how those questions might be answered. Understanding actin-based biological phenomena will depend on identifying the participating molecules and defining their molecular mechanisms. Comparisons of quantitative measurements of reactions in live cells with computer simulations of mathematical models will also help generate meaningful insights.
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            Impairment of angiogenesis and cell migration by targeted aquaporin-1 gene disruption.

            Aquaporin-1 (AQP1) is a water channel protein expressed widely in vascular endothelia, where it increases cell membrane water permeability. The role of AQP1 in endothelial cell function is unknown. Here we show remarkably impaired tumour growth in AQP1-null mice after subcutaneous or intracranial tumour cell implantation, with reduced tumour vascularity and extensive necrosis. A new mechanism for the impaired angiogenesis was established from cell culture studies. Although adhesion and proliferation were similar in primary cultures of aortic endothelia from wild-type and from AQP1-null mice, cell migration was greatly impaired in AQP1-deficient cells, with abnormal vessel formation in vitro. Stable transfection of non-endothelial cells with AQP1 or with a structurally different water-selective transporter (AQP4) accelerated cell migration and wound healing in vitro. Motile AQP1-expressing cells had prominent membrane ruffles at the leading edge with polarization of AQP1 protein to lamellipodia, where rapid water fluxes occur. Our findings support a fundamental role of water channels in cell migration, which is central to diverse biological phenomena including angiogenesis, wound healing, tumour spread and organ regeneration.
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              Mechanisms for T cell receptor triggering.

              There is considerable controversy about the mechanism of T cell receptor (TCR) triggering, the process by which the TCR tranduces signals across the plasma membrane after binding to its ligand (an agonist peptide complexed with an MHC molecule). Three main types of mechanism have been proposed, which involve aggregation, conformational change and segregation. Here, we review recently published evidence for each type of mechanism and conclude that all three may be involved. This complexity may reflect the uniquely demanding nature of TCR-mediated antigen recognition, which requires the detection of a very weak 'signal' (very rare foreign peptide-MHC ligands) in the presence of considerable 'noise' (abundant self peptide-MHC molecules).
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                Author and article information

                Contributors
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: ValidationRole: Visualization
                Role: ConceptualizationRole: Funding acquisitionRole: Supervision
                Role: ConceptualizationRole: Formal analysisRole: SupervisionRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Supervision
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: SupervisionRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Comput Biol
                PLoS Comput. Biol
                plos
                ploscomp
                PLoS Computational Biology
                Public Library of Science (San Francisco, CA USA )
                1553-734X
                1553-7358
                April 2019
                25 April 2019
                : 15
                : 4
                : e1006352
                Affiliations
                [1 ] Department of Mathematics, University of California Irvine, Irvine, California, United States of America
                [2 ] Center for Mathematical Sciences, Huazhong University of Science and Technology, Wuhan, China
                [3 ] Department of Chemical Engineering and Materials Science, University of California Irvine, Irvine, California, United States of America
                [4 ] Department of Mathematics, University of Alberta, Edmonton, Alberta, Canada
                [5 ] Center for Complex Biological Systems, University of California Irvine, Irvine, California, United States of America
                [6 ] Department of Physics and Astronomy, University of California Irvine, Irvine, California, United States of America
                Northeastern University, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-9186-284X
                http://orcid.org/0000-0002-2758-4515
                Article
                PCOMPBIOL-D-18-01192
                10.1371/journal.pcbi.1006352
                6504115
                31022168
                35d88273-9c6a-4715-b118-8938153c4c68
                © 2019 Liu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 9 July 2018
                : 1 February 2019
                Page count
                Figures: 9, Tables: 1, Pages: 21
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000121, Division of Mathematical Sciences;
                Award ID: 1454739
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000121, Division of Mathematical Sciences;
                Award ID: 1715455
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: 1763272
                Award Recipient :
                This work was supported by National Science Foundation (nsf.gov) grant DMS 1454739 to JA, National Science Foundation grant DMS 1715455 to ELR, National Science Foundation grant DMS 1763272 to JA and JL, and a grant from the Simons Foundation ( www.simonsfoundation.org) to JA and JL. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Cell Biology
                Cellular Structures and Organelles
                Cell Membranes
                Physical Sciences
                Materials Science
                Material Properties
                Permeability
                Physical Sciences
                Physics
                Classical Mechanics
                Continuum Mechanics
                Fluid Mechanics
                Fluid Dynamics
                Biology and Life Sciences
                Cell Biology
                Signal Transduction
                Cell Signaling
                Membrane Receptor Signaling
                Physical Sciences
                Physics
                Classical Mechanics
                Continuum Mechanics
                Fluid Mechanics
                Fluid Dynamics
                Hydrodynamics
                Physical Sciences
                Chemistry
                Chemical Properties
                Viscosity
                Physical Sciences
                Chemistry
                Physical Chemistry
                Chemical Properties
                Viscosity
                Physical Sciences
                Materials Science
                Materials Physics
                Viscosity
                Physical Sciences
                Physics
                Materials Physics
                Viscosity
                Biology and Life Sciences
                Cell Biology
                Cellular Structures and Organelles
                Cell Membranes
                Membrane Characteristics
                Biology and Life Sciences
                Developmental Biology
                Molecular Development
                Adhesion Molecules
                Custom metadata
                vor-update-to-uncorrected-proof
                2019-05-07
                All data are presented in the figures and Supporting Information.

                Quantitative & Systems biology
                Quantitative & Systems biology

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