Evidence map›Paper›PMID 31116687›Full record

ArticleMolecular biology of the cell2019

Mechanical feedback enables catch bonds to selectively stabilize scanning microvilli at T-cell surfaces.

Robert H Pullen, Steven M Abel

Open access · greenAbstract read
In one paragraph

Article in Molecular biology of the cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. The Energetic Landscape of Catch Bonds in TCR Interfaces.Journal of immunology (Baltimore, Md. : 1950) · 2023
    Review
  3. Pre-organized landscape of T cell surface.Frontiers in immunology · 2023
    Review
  4. Article
  5. Mechanosurveillance: Tiptoeing T Cells.Frontiers in immunology · 2022
    Review
  6. Article
  7. Article
  8. Article
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

2 authors at 2 institutions in 1 country.

Robert H PullenDepartment of Chemical and Biomolecular Engineering, National Institute for Mathematical and Biological Synthesis, University of Tennessee, Knoxville, TN 37996.
Steven M AbelDepartment of Chemical and Biomolecular Engineering, National Institute for Mathematical and Biological Synthesis, University of Tennessee, Knoxville, TN 37996.
National Institute for Mathematical and Biological Synthesis · USUniversity of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T-cells use microvilli to search the surfaces of antigen-presenting cells for antigenic ligands. The active motion of scanning microvilli provides a force-generating mechanism that is intriguing in light of single-molecule experiments showing that applied forces increase the lifetimes of stimulatory receptor-ligand bonds (catch-bond behavior). In this work, we introduce a theoretical framework to explore the motion of a microvillar tip above an antigen-presenting surface when receptors on the tip stochastically bind to ligands on the surface and dissociate from them in a force-dependent manner. Forces on receptor-ligand bonds impact the motion of the microvillus, leading to feedback between binding and microvillar motion. We use computer simulations to show that the average microvillar velocity varies in a ligand-dependent manner; that catch bonds generate responses in which some microvilli almost completely stop, while others move with a broad distribution of velocities; and that the frequency of stopping depends on the concentration of stimulatory ligands. Typically, a small number of catch bonds initially immobilize the microvillus, after which additional bonds accumulate and increase the cumulative receptor-engagement time. Our results demonstrate that catch bonds can selectively slow and stabilize scanning microvilli, suggesting a physical mechanism that may contribute to antigen discrimination by T-cells.

Indexed as

FeedbackAntigen-Presenting CellsCell MembraneKineticsMajor Histocompatibility ComplexMicrovilliModels, BiologicalPeptidesReceptors, Antigen, T-CellT-LymphocytesPeptidesReceptors, Antigen, T-Cell

Identifiers

PMID31116687
PMCPMC6727777
OpenAlexW2952713729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.