Evidence map›Paper›PMID 14695302›Full record

ArticleBiophysical journal2004

Hydrodynamic forces applied on intercellular bonds, soluble molecules, and cell-surface receptors.

Harish Shankaran, Sriram Neelamegham

Abstract readComparative StudyEvaluation StudyValidation Study
In one paragraph

Article in Biophysical journal, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 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

2 authors.

Harish ShankaranBioengineering Laboratory, Department of Chemical Engineering, State University of New York, Buffalo, New York 14260, USA.
Sriram Neelamegham

Funding

SELECTIN MEDIATED CELL ADHESION UNDER HYDRODYNAMIC SHEARR01HL063014 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI NEELAMEGHAM, SRIRAM · 2001 to 2014
$3.0M
NHLBI NIH HHS HL63014NHLBI NIH HHS R01 HL063014
6 · The paper itself

Abstract

Cells and biomolecules exposed to blood circulation experience hydrodynamic forces that affect their function. We present a methodology to estimate fluid forces and force loading rates applied on cellular aggregates, cell-surface proteins, and soluble molecules. Low Reynolds-number hydrodynamic theory is employed. Selected results are presented for biological cases involving platelets, neutrophils, tumor cells, GpIb-like cell-surface receptors, and plasma von Willebrand factor (vWF)-like soluble proteins. Calculations reveal the following: 1), upon application of constant linear shear, cell aggregates and biomolecules experience time-varying forces due to their tumbling motion. 2), In comparison to neutrophil homotypic aggregates, the maximum force applied on neutrophil-platelet aggregates is approximately threefold lower. Thus, alterations in cell size may dramatically alter adhesion molecule requirement for efficient cell binding. Whereas peak forces on homotypic cell doublets are tensile, shear forces dominate in heterotypic doublets with radius ratio <0.3. 3), The peak forces on platelet GpIb and von Willebrand factor are of comparable magnitude. However, they are orders-of-magnitude lower than those applied on intercellular bonds. Charts are provided to rapidly evaluate the magnitude of hydrodynamic force and rotation time-period occurring in any given experiment. The calculation scheme may find application in studies of vascular biology and receptor biophysics.

Indexed as

Models, CardiovascularBlood PlateletsBlood VesselsCell AdhesionCell MovementComputer SimulationHemorheologyMotionReceptors, Cell SurfaceShear StrengthSolubilityStress, MechanicalReceptors, Cell Surface

Identifiers

PMID14695302
PMCPMC1303826

What OpenQuestion holds

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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.