Evidence map›Paper›PMID 21829342›Full record

ArticlePLoS computational biology2011

Integrating signals from the T-cell receptor and the interleukin-2 receptor.

Tilo Beyer, Mandy Busse, Kroum Hristov, Slavyana Gurbiel, Michal Smida, Utz-Uwe Haus, Kathrin Ballerstein, Frank Pfeuffer, Robert Weismantel, Burkhart Schraven and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

13 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Meeting report: Signal transduction meets systems biology.Cell communication and signaling : CCS · 2012
    Article
  11. Article
  12. Article
  13. Article
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

11 authors at 2 institutions in 1 country.

Tilo BeyerInstitute of Molecular and Clinical Immunology, Otto-von-Guericke University, Magdeburg, Germany.
Mandy Busse
Kroum Hristov
Slavyana Gurbiel
Michal Smida
Utz-Uwe Haus
Kathrin Ballerstein
Frank Pfeuffer
Robert Weismantel
Burkhart Schraven
Jonathan A Lindquist
Otto-von-Guericke University Magdeburg · DEHelmholtz Centre for Infection Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cells orchestrate the adaptive immune response, making them targets for immunotherapy. Although immunosuppressive therapies prevent disease progression, they also leave patients susceptible to opportunistic infections. To identify novel drug targets, we established a logical model describing T-cell receptor (TCR) signaling. However, to have a model that is able to predict new therapeutic approaches, the current drug targets must be included. Therefore, as a next step we generated the interleukin-2 receptor (IL-2R) signaling network and developed a tool to merge logical models. For IL-2R signaling, we show that STAT activation is independent of both Src- and PI3-kinases, while ERK activation depends upon both kinases and additionally requires novel PKCs. In addition, our merged model correctly predicted TCR-induced STAT activation. The combined network also allows information transfer from one receptor to add detail to another, thereby predicting that LAT mediates JNK activation in IL-2R signaling. In summary, the merged model not only enables us to unravel potential cross-talk, but it also suggests new experimental designs and provides a critical step towards designing strategies to reprogram T cells.

Indexed as

Cells, CulturedHumansModels, BiologicalPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsProtein Kinase CReceptor Cross-TalkReceptors, Antigen, T-CellReceptors, Interleukin-2Reproducibility of ResultsSignal Transductionsrc-Family KinasesSTAT Transcription FactorsT-LymphocytesPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsProtein Kinase CReceptors, Antigen, T-CellReceptors, Interleukin-2src-Family KinasesSTAT Transcription Factors

Identifiers

PMID21829342
PMCPMC3150289
OpenAlexW2024176268

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.