Evidence map›Paper›PMID 17467716›Full record

ArticleJournal of biomechanics2007

Shear modulation of intercellular contact area between two deformable cells colliding under flow.

Sameer Jadhav, Kit Yan Chan, Konstantinos Konstantopoulos, Charles D Eggleton

Abstract read
In one paragraph

Article in Journal of biomechanics, 2007. 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Roles of cell and microvillus deformation and receptor-ligand binding kinetics in cell rolling.American journal of physiology. Heart and circulatory physiology · 2008
    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

4 authors.

Sameer JadhavDepartment of Chemical Engineering, Indian Institute of Technology-Bombay, Mumbai 400 076, India.
Kit Yan Chan
Konstantinos Konstantopoulos
Charles D Eggleton

Funding

Computational model of cellular adhesion in bulk flowsR01AI063366 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI EGGLETON, CHARLES DIONISIO · 2005 to 2009
$1.5M
NIAID NIH HHS R01 AI 063366NIAID NIH HHS R01 AI063366
6 · The paper itself

Abstract

Shear rate has been shown to critically affect the kinetics and receptor specificity of cell-cell interactions. In this study, the collision process between two modeled cells interacting in a linear shear flow is numerically investigated. The two identical biological or artificial cells are modeled as deformable capsules composed of an elastic membrane. The cell deformation and trajectories are computed using the immersed boundary method (IBM) for shear rates of 100-400s(-1). As the two cells collide under hydrodynamic shear, large local cell deformations develop. The effective contact area between the two cells is modulated by the shear rate, and reaches a maximum value at intermediate levels of shear. At relatively low shear rate, the contact area is an enclosed region. As the shear rate increases, dimples form on the membrane surface, and the contact region becomes annular. The nonmonotonic increase of the contact area with the increase of shear rate from computational results implies that there is a maximum effective receptor-ligand binding area for cell adhesion. This finding suggests the existence of possible hydrodynamic mechanism that could be used to interpret the observed maximum leukocyte aggregation in shear flow. The critical shear rate for maximum intercellular contact area is shown to vary with cell properties such as radius and membrane elastic modulus.

Indexed as

Cell ShapeCell AdhesionComputer Simulation

Identifiers

PMID17467716
PMCPMC2215319

What OpenQuestion holds

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Registered trials

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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.