Evidence map›Paper›PMID 19229310›Full record

ArticlePLoS computational biology2009

Identification of potential pathway mediation targets in Toll-like receptor signaling.

Fan Li, Ines Thiele, Neema Jamshidi, Bernhard Ø Palsson

Erratum issuedAbstract read
In one paragraph

Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
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  8. Review
  9. The Rpe65 rd12 allele exerts a semidominant negative effect on vision in mice.Investigative ophthalmology & visual science · 2014
    Article
  10. Review
  11. Systems-level analysis of innate immunity.Annual review of immunology · 2014
    Review
  12. Article
  13. Review
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  15. Article
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

4 authors.

Fan LiDepartment of Bioengineering, University of California San Diego, La Jolla, California, United States of America.
Ines Thiele
Neema Jamshidi
Bernhard Ø Palsson

Funding

CARDIOVASCULAR SURGERY/BIOENGINEERING TRAININGT32HL007089 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU · 1985 to 2009
$9.3M
Network-based Analysis of Kinetics and RegulationR01GM068837 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 2003 to 2012
$2.4M
NHLBI NIH HHS T32 HL007089NIGMS NIH HHS GM68837NIGMS NIH HHS R01 GM068837
6 · The paper itself

Abstract

Recent advances in reconstruction and analytical methods for signaling networks have spurred the development of large-scale models that incorporate fully functional and biologically relevant features. An extended reconstruction of the human Toll-like receptor signaling network is presented herein. This reconstruction contains an extensive complement of kinases, phosphatases, and other associated proteins that mediate the signaling cascade along with a delineation of their associated chemical reactions. A computational framework based on the methods of large-scale convex analysis was developed and applied to this network to characterize input-output relationships. The input-output relationships enabled significant modularization of the network into ten pathways. The analysis identified potential candidates for inhibitory mediation of TLR signaling with respect to their specificity and potency. Subsequently, we were able to identify eight novel inhibition targets through constraint-based modeling methods. The results of this study are expected to yield meaningful avenues for further research in the task of mediating the Toll-like receptor signaling network and its effects.

Indexed as

Cell CompartmentationFeedback, PhysiologicalHumansModels, BiologicalPhosphorylationProteomeSignal TransductionToll-Like ReceptorsProteomeToll-Like Receptors

Identifiers

PMID19229310
PMCPMC2634968

What OpenQuestion holds

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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.