Evidence map›Paper›PMID 23133361›Full record

ArticlePLoS computational biology2012

A mathematical model of CR3/TLR2 crosstalk in the context of Francisella tularensis infection.

Rachel Leander, Shipan Dai, Larry S Schlesinger, Avner Friedman

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Rachel LeanderMathematical Biosciences Institute, The Ohio State University, Columbus, Ohio, USA.
Shipan Dai
Larry S Schlesinger
Avner Friedman
Interface (United States) · USThe Ohio State University · US

Funding

Vaccines and Therapies Against BotulismU54AI057153 · NIAID · UNIVERSITY OF CHICAGO · PI SHUMAN, HOWARD A · 2003 to 2013
$87.6M
NIAID NIH HHS 2-U54-AI-057153NIAID NIH HHS U54 AI057153
6 · The paper itself

Abstract

Complement Receptor 3 (CR3) and Toll-like Receptor 2 (TLR2) are pattern recognition receptors expressed on the surface of human macrophages. Although these receptors are essential components for recognition by the innate immune system, pathogen coordinated crosstalk between them can suppress the production of protective cytokines and promote infection. Recognition of the virulent Schu S4 strain of the intracellular pathogen Francisella tularensis by host macrophages involves CR3/TLR2 crosstalk. Although experimental data provide evidence that Lyn kinase and PI3K are essential components of the CR3 pathway that influences TLR2 activity, additional responsible upstream signaling components remain unknown. In this paper we construct a mathematical model of CR3 and TLR2 signaling in response to F. tularensis. After demonstrating that the model is consistent with experimental results we perform numerical simulations to evaluate the contributions that Akt and Ras-GAP make to ERK inhibition. The model confirms that phagocytosis-associated changes in the composition of the cell membrane can inhibit ERK activity and predicts that Akt and Ras-GAP synergize to inhibit ERK.

Indexed as

Models, BiologicalComputer SimulationFrancisella tularensisHost-Pathogen InteractionsHumansMacrophage-1 AntigenMacrophagesPhagocytosisSignal TransductionToll-Like Receptor 2TularemiaMacrophage-1 AntigenToll-Like Receptor 2

Identifiers

PMID23133361
PMCPMC3486853
OpenAlexW2011409469

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.