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

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 that the time-to-contact increases for smaller cell-cell distances (where the thin-layer effect is strongest), leading to an optimal initial cell-cell separation for fastest receptor-ligand binding. 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 internal dynamics of the membranes has speeds in approximately microseconds, but that as the cells approach, a new slow 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.

[1]  Erin L. Barnhart,et al.  Membrane Tension in Rapidly Moving Cells Is Determined by Cytoskeletal Forces , 2013, Current Biology.

[2]  John Lowengrub,et al.  Cell Surface Mechanochemistry and the Determinants of Bleb Formation, Healing, and Travel Velocity. , 2016, Biophysical journal.

[3]  Marios C. Papadopoulos,et al.  Impairment of angiogenesis and cell migration by targeted aquaporin-1 gene disruption , 2005, Nature.

[4]  M. Gardel,et al.  Transient Frictional Slip between Integrin and the ECM in Focal Adhesions under Myosin II Tension , 2010, Current Biology.

[5]  J. Allard,et al.  Mechanical modulation of receptor-ligand interactions at cell-cell interfaces. , 2012, Biophysical journal.

[6]  Paul J. Atzberger,et al.  Stochastic Eulerian Lagrangian methods for fluid-structure interactions with thermal fluctuations , 2009, J. Comput. Phys..

[7]  R. Bruinsma,et al.  Adhesive switching of membranes: experiment and theory. , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[8]  John Lowengrub,et al.  Numerical simulation of endocytosis: Viscous flow driven by membranes with non-uniformly distributed curvature-inducing molecules , 2016, J. Comput. Phys..

[9]  Thomas D. Pollard,et al.  Actin, a Central Player in Cell Shape and Movement , 2009, Science.

[10]  Paul J. Atzberger,et al.  Simulation of Osmotic Swelling by the Stochastic Immersed Boundary Method , 2015, SIAM J. Sci. Comput..

[11]  J. Tinevez,et al.  Role of cortical tension in bleb growth , 2009, Proceedings of the National Academy of Sciences.

[12]  A. Weiss,et al.  Distinct structural and catalytic roles for Zap70 in formation of the immunological synapse in CTL , 2014, eLife.

[13]  Dariusz M Plewczynski,et al.  Three-dimensional Epigenome Statistical Model: Genome-wide Chromatin Looping Prediction , 2018, Scientific Reports.

[14]  L. Mahadevan,et al.  Elastohydrodynamics and Kinetics of Protein Patterning in the Immunological Synapse , 2015, PLoS Comput. Biol..

[15]  A. Mogilner,et al.  Intracellular Fluid Mechanics: Coupling Cytoplasmic Flow with Active Cytoskeletal Gel , 2018 .

[16]  W. Helfrich Elastic Properties of Lipid Bilayers: Theory and Possible Experiments , 1973, Zeitschrift fur Naturforschung. Teil C: Biochemie, Biophysik, Biologie, Virologie.

[17]  Howard A. Stone,et al.  Colonization, Competition, and Dispersal of Pathogens in Fluid Flow Networks , 2015, Current Biology.

[18]  Omer Dushek,et al.  Mechanisms for T cell receptor triggering , 2011, Nature Reviews Immunology.

[19]  P. Bongrand,et al.  Adhesion‐related glycocalyx study: quantitative approach with imaging‐spectrum in the energy filtering transmission electron microscope (EFTEM) , 1998, FEBS letters.

[20]  Y. Asano,et al.  Origins of the cytolytic synapse , 2016, Nature Reviews Immunology.

[21]  Julie A. Theriot,et al.  Intracellular fluid flow in rapidly moving cells , 2009, Nature Cell Biology.

[22]  Daniel A. Hammer,et al.  Integrin Clustering Is Driven by Mechanical Resistance from the Glycocalyx and the Substrate , 2009, PLoS Comput. Biol..

[23]  M. Thomas Some mean first-passage time approximations for the Ornstein-Uhlenbeck process , 1975, Journal of Applied Probability.

[24]  A. Babataheri,et al.  T-lymphocyte passive deformation is controlled by unfolding of membrane surface reservoirs , 2016, Molecular biology of the cell.

[25]  R. Lipowsky,et al.  Stacks of Fluid Membranes under Pressure and Tension , 1995 .

[26]  C. Peskin The immersed boundary method , 2002, Acta Numerica.

[27]  M. Ellero,et al.  Analytical solution for the lubrication force between two spheres in a bi-viscous fluid , 2016 .

[28]  Jay T. Groves,et al.  Synaptic pattern formation during cellular recognition , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[29]  Michael Shelley,et al.  Cytoplasmic flows as signatures for the mechanics of mitotic positioning , 2015, Molecular biology of the cell.

[30]  Margaret J. Tse,et al.  DNA-Binding Kinetics Determines the Mechanism of Noise-Induced Switching in Gene Networks. , 2015, Biophysical journal.

[31]  Paul J. Atzberger,et al.  A note on the correspondence of an immersed boundary method incorporating thermal fluctuations with Stokesian-Brownian dynamics , 2007 .

[32]  L. Mahadevan,et al.  How things get stuck: kinetics, elastohydrodynamics, and soft adhesion. , 2012, Physical review letters.

[33]  L. Oddershede,et al.  An updated look at actin dynamics in filopodia , 2015, Cytoskeleton.

[34]  L. Freund Entropic pressure between biomembranes in a periodic stack due to thermal fluctuations , 2012, Proceedings of the National Academy of Sciences.

[35]  J. Groves,et al.  A Microbead Supported Membrane-Based Fluorescence Imaging Assay Reveals Intermembrane Receptor-Ligand Complex Dimension with Nanometer Precision. , 2016, Langmuir : the ACS journal of surfaces and colloids.

[36]  G. Griffiths,et al.  Secretory mechanisms in cell-mediated cytotoxicity. , 2007, Annual review of cell and developmental biology.

[37]  J. Groves,et al.  Analysis of shape, fluctuations, and dynamics in intermembrane junctions. , 2006, Biophysical journal.

[38]  J. Groves,et al.  Hydrodynamic damping of membrane thermal fluctuations near surfaces imaged by fluorescence interference microscopy. , 2006, Physical review letters.

[39]  Kai Dierkes,et al.  Monitoring actin cortex thickness in live cells. , 2013, Biophysical journal.

[40]  Michael W. Davidson,et al.  Actin Depletion Initiates Events Leading to Granule Secretion at the Immunological Synapse , 2015, Immunity.

[41]  K. Sawamoto,et al.  Coupling between hydrodynamic forces and planar cell polarity orients mammalian motile cilia , 2010, Nature Cell Biology.

[42]  Ulrich S Schwarz,et al.  Cell-ECM traction force modulates endogenous tension at cell–cell contacts , 2011, Proceedings of the National Academy of Sciences.

[43]  P. A. van der Merwe,et al.  T-cell receptor triggering is critically dependent on the dimensions of its peptide-MHC ligand , 2005, Nature.

[44]  Ravi A. Desai,et al.  Force transmission during adhesion-independent migration , 2015, Nature Cell Biology.

[45]  Colin R. F. Monks,et al.  Three-dimensional segregation of supramolecular activation clusters in T cells , 1998, Nature.

[46]  Diane S. Lidke Quantitative cell biology: uniting disciplines to understand the cell , 2017, Molecular biology of the cell.

[47]  Kai Liu,et al.  Efficient simulation of thermally fluctuating biopolymers immersed in fluids on 1-micron, 1-second scales , 2019, J. Comput. Phys..

[48]  Sean X. Sun,et al.  Volume regulation and shape bifurcation in the cell nucleus , 2015, Journal of Cell Science.

[49]  Marileen Dogterom,et al.  Direct measurement of force generation by actin filament polymerization using an optical trap , 2007, Proceedings of the National Academy of Sciences.

[50]  Pierre-François Lenne,et al.  Direct laser manipulation reveals the mechanics of cell contacts in vivo , 2015, Proceedings of the National Academy of Sciences.

[51]  Robert H. Davis,et al.  The lubrication force between spherical drops, bubbles and rigid particles in a viscous fluid , 1989 .

[52]  A. Herrmann,et al.  Gp41 dynamically interacts with the TCR in the immune synapse and promotes early T cell activation , 2018, Scientific Reports.

[53]  Phillip L Geissler,et al.  Size-dependent protein segregation at membrane interfaces , 2016, Nature Physics.

[54]  J. Squire,et al.  Quasi-periodic substructure in the microvessel endothelial glycocalyx: a possible explanation for molecular filtering? , 2001, Journal of structural biology.

[55]  Brian D. Slaughter,et al.  Dynamic maintenance of asymmetric meiotic spindle position through Arp2/3-complex-driven cytoplasmic streaming in mouse oocytes , 2011, Nature Cell Biology.

[56]  C. Carman,et al.  Antigen Recognition Is Facilitated by Invadosome-like Protrusions Formed by Memory/Effector T Cells , 2012, The Journal of Immunology.

[57]  G. Danuser,et al.  Mapping the dynamics of force transduction at cell–cell junctions of epithelial clusters , 2014, eLife.

[58]  K. Garcia,et al.  In vitro reconstitution of T cell receptor-mediated segregation of the CD45 phosphatase , 2017, Proceedings of the National Academy of Sciences.

[59]  Daniel M Zuckerman,et al.  Weighted Ensemble Simulation: Review of Methodology, Applications, and Software. , 2017, Annual review of biophysics.

[60]  Pierre Sens,et al.  Membrane tension and cytoskeleton organization in cell motility , 2015, Journal of physics. Condensed matter : an Institute of Physics journal.

[61]  D. Klenerman,et al.  Initiation of T cell signaling by CD45 segregation at ‘close-contacts’ , 2016, Nature Immunology.

[62]  R. Alon,et al.  Three-dimensional localization of T-cell receptors in relation to microvilli using a combination of superresolution microscopies , 2016, Proceedings of the National Academy of Sciences.

[63]  A. Mogilner,et al.  Computational Estimates of Membrane Flow and Tension Gradient in Motile Cells , 2014, PloS one.

[64]  Denis Wirtz,et al.  Mechanics and dynamics of actin-driven thin membrane protrusions. , 2006, Biophysical journal.

[65]  Dennis Brown,et al.  Ezrin directly interacts with AQP2 and promotes its endocytosis , 2017, Journal of Cell Science.

[66]  C. Gardiner Handbook of Stochastic Methods , 1983 .

[67]  B. Różycki,et al.  Segregation of receptor–ligand complexes in cell adhesion zones: phase diagrams and the role of thermal membrane roughness , 2010, 1007.3809.