Evidence map›Paper›PMID 17408504›Full record

ArticleBMC systems biology2007

Dynamics of in silico leukocyte rolling, activation, and adhesion.

Jonathan Tang, Klaus F Ley, C Anthony Hunt

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
  2. Expected impact of lockdown measures due to COVID-19 on disabling conditions: a modelling study of chronic low back pain.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2021
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  9. Phenotypic transition maps of 3D breast acini obtained by imaging-guided agent-based modeling.Integrative biology : quantitative biosciences from nano to macro · 2011
    Article
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  11. Review
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  18. A hybrid computational model for phagocyte transmigration.Proceedings. IEEE International Symposium on Bioinformatics and Bioengineering · 2008
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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

3 authors at 2 institutions in 1 country.

Jonathan TangThe UCSF/UCB Joint Graduate Group in Bioengineering, University of California, Berkeley, CA, USA. jont@berkeley.edu
Klaus F Ley
C Anthony Hunt
Graduate Theological Union · USUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe present a multilevel, agent based, in silico model that represents the dynamics of rolling, activation, and adhesion of individual leukocytes in vitro. Object-oriented software components were designed, verified, plugged together, and then operated in ways that represent the molecular and cellular mechanisms believed responsible for leukocyte rolling and adhesion. The result is an in silico analogue of an experimental in vitro system. The experimentally measured, phenotypic attributes of the analogue were compared and contrasted to those of leukocytes in vitro from three different experimental conditions.

resultsThe individual in silico dynamics of "rolling" on simulated P-selectin, and separately on simulated VCAM-1, were an acceptable match to individual in vitro distance-time and velocity-time measurements. The analogues are also able to represent the transition from rolling to adhesion on P-selectin and VCAM-1 in the presence of GRO-alpha chemokine. The individual in silico and in vitro behavioral similarities translated successfully to population level measures. These behavioral similarities were enabled in part by subdividing the functionality of the analogue's surface into 600 independent, "cell"-controlled, equally capable modules of comparable functionality.

conclusionThe overlap in phenotypic attributes of our analogue with those of leukocytes in vitro confirm the considerable potential of our model for studying the key events that determine the behavioral outcome of individual leukocytes during rolling, activation, and adhesion. Our results provide an important foundation and framework for future in silico research into plausible causal links between well-documented, subcellular molecular level events and the variety of systemic phenotypic attributes that distinguish normal leukocyte adhesion from abnormal disease-associated adhesion.

Indexed as

Computer SimulationLeukocyte RollingLymphocyte ActivationModels, ImmunologicalCell AdhesionChemokine CXCL1HumansNeutrophilsP-SelectinReceptors, Leukocyte-AdhesionVascular Cell Adhesion Molecule-1Chemokine CXCL1P-SelectinReceptors, Leukocyte-AdhesionVascular Cell Adhesion Molecule-1

Identifiers

PMID17408504
PMCPMC1839892
OpenAlexW1525971636

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.