Evidence map›Paper›PMID 24384944›Full record

ReviewJournal of biomechanical engineering2014

Adhesive dynamics.

Daniel A Hammer

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of biomechanical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 39 citations in OpenAlex.

  1. De novo DNA-based catch bonds.Nature chemistry · 2024
    Article
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  7. Adhesive dynamics simulations quantitatively predict effects of kindlin-3 deficiency on T-cell homing.Integrative biology : quantitative biosciences from nano to macro · 2019
    Article
  8. Biophysics of Cell-Substrate Interactions Under Shear.Frontiers in cell and developmental biology · 2019
    Review
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  10. Article
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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

1 author at 1 institution in 1 country.

Daniel A Hammer
University of Pennsylvania · US

Funding

VASCULAR RELATIONS OF BLOOD CELLS AND PROTEINSP01HL018208 · NHLBI · UNIVERSITY OF ROCHESTER · PI WAUGH, RICHARD E · 1985 to 2014
$24.7M
Simulation of Lymphocyte Adhesion using Integrated Adhesive DynamicsR01AI082292 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HAMMER, DANIEL A · 2009 to 2017
$2.8M
NHLBI NIH HHS HL18208NHLBI NIH HHS P01 HL018208NIAID NIH HHS AI082292NIAID NIH HHS R01 AI082292
6 · The paper itself

Abstract

Adhesive dynamics (AD) is a method for simulating the dynamic response of biological systems in response to force. Biological bonds are mechanical entities that exert force under strain, and applying forces to biological bonds modulates their rate of dissociation. Since small numbers of events usually control biological interactions, we developed a simple method for sampling probability distributions for the formation or failure of individual bonds. This method allows a simple coupling between force and strain and kinetics, while capturing the stochastic response of biological systems. Biological bonds are dynamically reconfigured in response to applied mechanical stresses, and a detailed spatio-temporal map of molecules and the forces they exert emerges from AD. The shape or motion of materials bearing the molecules is easily calculated from a mechanical energy balance provided the rheology of the material is known. AD was originally used to simulate the dynamics of adhesion of leukocytes under flow, but new advances have allowed the method to be extended to many other applications, including but not limited to the binding of viruses to surface, the clustering of adhesion molecules driven by stiff substrates, and the effect of cell-cell interaction on cell capture and rolling dynamics. The technique has also been applied to applications outside of biology. A particular exciting recent development is the combination of signaling with AD (so-called integrated signaling adhesive dynamics, or ISAD), which allows facile integration of signaling networks with mechanical models of cell adhesion and motility. Potential opportunities in applying AD are summarized.

Indexed as

Models, BiologicalAnimalsCell AdhesionCell Adhesion MoleculesCell MembraneCell MovementHumansLeukocytesMechanotransduction, CellularStress, MechanicalCell Adhesion Molecules

Identifiers

PMID24384944
PMCPMC4023664
OpenAlexW4230784727

What OpenQuestion holds

Textmetadata
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.