Evidence map›Paper›PMID 23481422›Full record

ArticleJournal of biomechanics2013

Deformable cell-cell and cell-substrate interactions in semi-infinite domain.

Dhananjay Radhakrishnan Subramaniam, David J Gee, Michael R King

Abstract read
In one paragraph

Article in Journal of biomechanics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 1 country.

Dhananjay Radhakrishnan SubramaniamDepartment of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY 14623, USA.
David J Gee
Michael R King
Rochester Institute of Technology · USCornell University · US

Funding

VASCULAR RELATIONS OF BLOOD CELLS AND PROTEINSP01HL018208 · NHLBI · UNIVERSITY OF ROCHESTER · PI WAUGH, RICHARD E · 1985 to 2014
$24.7M
NHLBI NIH HHS HL018208NHLBI NIH HHS P01 HL018208
6 · The paper itself

Abstract

Leukocyte trafficking in the microvasculature during inflammatory response is known to involve multiple adhesion molecules and is referred to as the leukocyte adhesion cascade (LAC). Surface-bound selectins and their respective ligands are primarily responsible for tethering and rolling of leukocytes over inflamed endothelium. Numerical modeling of this response is challenging due to the nature of cell-cell interactions in Stokes flow (i.e., large domain of influence for each cell over its neighbors). Here, we discuss a novel simulation capable of modeling several steps of the LAC. The new model includes relevant contact and lubrication forces and extends a physics-based model for single particle rolling interactions developed by Hammer and Apte (1992), for multiparticle interactions by King and Hammer (2001a), and for deformable particles by Gee and King (2006). We initially demonstrate the model for cell-cell collisions occurring near a planar substrate, and for cell-substrate adhesive interactions. The adhesion studies provide a new perspective of the contribution of Hertzian contact mechanics toward variations in contact area at the cell-substrate interface. The results confirm that interfacial contact area will increase as a result of the contact formulation and that this mechanism may enhance cell rolling interactions for cells driven toward endothelium by cell-cell collisions. As a result of cell compliance, rolling velocity may decrease significantly, compared to non-compliant cells.

Indexed as

Models, BiologicalCell AdhesionComputer SimulationLeukocyte RollingLeukocytes

Identifiers

PMID23481422
PMCPMC3612558
OpenAlexW2051160234

What OpenQuestion holds

Textmetadata
LicenceTDM
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.