Evidence map›Paper›PMID 15315955›Full record

ArticleBiophysical journal2004

A semianalytic model of leukocyte rolling.

Ellen F Krasik, Daniel A Hammer

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  5. Review
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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.

Ellen F KrasikDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Daniel A Hammer

Funding

VASCULAR RELATIONS OF BLOOD CELLS AND PROTEINSP01HL018208 · NHLBI · UNIVERSITY OF ROCHESTER · PI WAUGH, RICHARD E · 1985 to 2014
$24.7M
DETERMINANTS OF DYNAMICS OF CELL ADHESION UNDER FLOWR01EB000256 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI HAMMER, DANIEL A · 2002 to 2003
$453k
NHLBI NIH HHS HL18208NHLBI NIH HHS P01 HL018208NIBIB NIH HHS EB00256NIBIB NIH HHS R01 EB000256
6 · The paper itself

Abstract

Rolling allows leukocytes to maintain adhesion to vascular endothelium and to molecularly coated surfaces in flow chambers. Using insights from adhesive dynamics, a computational method for simulating leukocyte rolling and firm adhesion, we have developed a semianalytic model for the steady-state rolling of a leukocyte. After formation in a force-free region of the contact zone, receptor-ligand bonds are transported into the trailing edge of the contact zone. Rolling velocity results from a balance of the convective flux of bonds and the rate of dissociation at the back edge of the contact zone. We compare the model's results to that of adhesive dynamics and to experimental data on the rolling of leukocytes, with good agreement. We calculate the dependence of rolling velocity on shear rate, intrinsic forward and reverse reaction rates, bond stiffness, and reactive compliance, and use the model to calculate a state diagram relating molecular parameters and the dynamic state of adhesion. A dimensionless form of the analytic model permits exploration of the parameters that control rolling. The chemical affinity of a receptor-ligand pair does not uniquely determine rolling velocity. We elucidate a fundamental relationship between off-rate, ligand density, and reactive compliance at the transition between firm and rolling adhesion. The model provides a rapid method for screening system parameters for the potential to mediate rolling.

Indexed as

Models, CardiovascularAnimalsBlood Flow VelocityCell AdhesionCell MovementComputer SimulationEndothelial CellsHumansLymphocyte ActivationRotation

Identifiers

PMID15315955
PMCPMC1304766

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.