Evidence map›Paper›PMID 25147952›Full record

ArticlePloS one2014

Phosphorylation site dynamics of early T-cell receptor signaling.

Lily A Chylek, Vyacheslav Akimov, Jörn Dengjel, Kristoffer T G Rigbolt, Bin Hu, William S Hlavacek, Blagoy Blagoev

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

38 citing papers in PubMed, 66 citations in OpenAlex.

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  13. Modeling immune cell behavior across scales in cancer.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    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

7 authors at 5 institutions in 3 countries.

Lily A ChylekTheoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America; Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America; Department of Chemistry and Chemical Biology, Cornell University, Ithaca, New York, United States of America.
Vyacheslav AkimovDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark.
Jörn DengjelDepartment of Dermatology, Medical Center; Freiburg Institute for Advanced Studies (FRIAS); BIOSS Centre for Biological Signalling Studies; ZBSA Center for Biological Systems Analysis, University of Freiburg, Freiburg, Germany.
Kristoffer T G RigboltDepartment of Dermatology, Medical Center; Freiburg Institute for Advanced Studies (FRIAS); BIOSS Centre for Biological Signalling Studies; ZBSA Center for Biological Systems Analysis, University of Freiburg, Freiburg, Germany.
Bin HuTheoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America; Department of Biology, University of New Mexico, Albuquerque, New Mexico, United States of America.
William S HlavacekTheoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America; Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America; Department of Biology, University of New Mexico, Albuquerque, New Mexico, United States of America.
Blagoy BlagoevDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark.
University of New Mexico · USUniversity of Southern Denmark · DKLos Alamos National Laboratory · USUniversity Medical Center · USUniversity of Freiburg · DE

Funding

UNM TRAININGP50GM085273 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI EDWARDS, JEREMY S · 2009 to 2018
$26.1M
COMPUTATIONAL TOOLS FOR RULE-BASED MODELING OF BIOCHEMICAL SYSTEMSR01GM076570 · NIGMS · UNIVERSITY OF NEW MEXICO · PI HLAVACEK, WILLIAM S · 2007 to 2009
$815k
NIGMS NIH HHS P50 GM085273NIGMS NIH HHS P50GM085273NIGMS NIH HHS R01 GM076570NIGMS NIH HHS R01GM076570
6 · The paper itself

Abstract

In adaptive immune responses, T-cell receptor (TCR) signaling impacts multiple cellular processes and results in T-cell differentiation, proliferation, and cytokine production. Although individual protein-protein interactions and phosphorylation events have been studied extensively, we lack a systems-level understanding of how these components cooperate to control signaling dynamics, especially during the crucial first seconds of stimulation. Here, we used quantitative proteomics to characterize reshaping of the T-cell phosphoproteome in response to TCR/CD28 co-stimulation, and found that diverse dynamic patterns emerge within seconds. We detected phosphorylation dynamics as early as 5 s and observed widespread regulation of key TCR signaling proteins by 30 s. Development of a computational model pointed to the presence of novel regulatory mechanisms controlling phosphorylation of sites with central roles in TCR signaling. The model was used to generate predictions suggesting unexpected roles for the phosphatase PTPN6 (SHP-1) and shortcut recruitment of the actin regulator WAS. Predictions were validated experimentally. This integration of proteomics and modeling illustrates a novel, generalizable framework for solidifying quantitative understanding of a signaling network and for elucidating missing links.

Indexed as

Signal TransductionCell LineHumansModels, BiologicalPhosphoproteinsPhosphorylationProtein Interaction MapsProtein Tyrosine Phosphatase, Non-Receptor Type 6ProteomeProteomicsReceptors, Antigen, T-CellT-LymphocytesTyrosineWiskott-Aldrich Syndrome Protein FamilyPhosphoproteinsProtein Tyrosine Phosphatase, Non-Receptor Type 6ProteomePTPN6 protein, humanReceptors, Antigen, T-CellTyrosineWiskott-Aldrich Syndrome Protein Family

Identifiers

PMID25147952
PMCPMC4141737
OpenAlexW2066732411

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.