Evidence map›Paper›PMID 31022168›Full record

ArticlePLoS computational biology2019

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

Kai Liu, Brian Chu, Jay Newby, Elizabeth L Read, John Lowengrub, Jun Allard

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kai LiuDepartment of Mathematics, University of California Irvine, Irvine, California, United States of America.
Brian ChuDepartment of Chemical Engineering and Materials Science, University of California Irvine, Irvine, California, United States of America.
Jay NewbyDepartment of Mathematics, University of Alberta, Edmonton, Alberta, Canada.
Elizabeth L ReadDepartment of Chemical Engineering and Materials Science, University of California Irvine, Irvine, California, United States of America.ORCID 0000-0002-9186-284X
John LowengrubDepartment of Mathematics, University of California Irvine, Irvine, California, United States of America.
Jun AllardDepartment of Mathematics, University of California Irvine, Irvine, California, United States of America.ORCID 0000-0002-2758-4515

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

HydrodynamicsModels, BiologicalAlgorithmsCell AdhesionCell MembraneCell Membrane PermeabilityCell Surface ExtensionsComputational Biology

Identifiers

PMID31022168
PMCPMC6504115

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.