Evidence map›Paper›PMID 25990959›Full record

ArticleScience signaling2015

The catalytic activity of the kinase ZAP-70 mediates basal signaling and negative feedback of the T cell receptor pathway.

Hanna Sjölin Goodfellow, Maria P Frushicheva, Qinqin Ji, Debra A Cheng, Theresa A Kadlecek, Aaron J Cantor, John Kuriyan, Arup K Chakraborty, Arthur Salomon, Arthur Weiss

Abstract read
In one paragraph

Article in Science signaling, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

45 citing papers in PubMed, 68 citations in OpenAlex.

  1. LAT condensation gates PLCγ1 activation via bimodal LAT phosphorylation.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  5. Multi-modal tissue-aware graph neural network forbioRxiv : the preprint server for biology · 2026
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  10. The Role of the CD28 Family Receptors in T-Cell Immunomodulation.International journal of molecular sciences · 2024
    Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. How the T cell signaling network processes information to discriminate between self and agonist ligands.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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

10 authors at 5 institutions in 1 country.

Hanna Sjölin Goodfellow *Howard Hughes Medical Institute, UCSF, San Francisco, CA 94143, USA.
Maria P Frushicheva *Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
Qinqin Ji *Department of Chemistry, Brown University, Providence, RI 02912, USA.
Debra A ChengHoward Hughes Medical Institute, UCSF, San Francisco, CA 94143, USA.
Theresa A KadlecekHoward Hughes Medical Institute, UCSF, San Francisco, CA 94143, USA.
Aaron J CantorDepartment of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA.
John KuriyanDepartment of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA.
Arup K Chakraborty *Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
Arthur Salomon *Department of Chemistry, Brown University, Providence, RI 02912, USA.
Arthur Weiss *Howard Hughes Medical Institute, UCSF, San Francisco, CA 94143, USA.
Howard Hughes Medical Institute · USBrown University · USMassachusetts Institute of Technology · USQB3 · USUniversity of California, San Francisco · US

Funding

Understand the metabolic fitness of naïve T cellsP01AI091580 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ARTHUR WEISS · 2011 to 2026
$31.1M
Research BaseP30DK063720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRUMMEL, MATTHEW F · 2003 to 2019
$21.8M
Univ of Calif Berkeley Chemistry-Biology Interface ProgramT32GM066698 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI CHANG, CHRISTOPHER J., FRANCIS, MATTHEW B · 2004 to 2023
$7.5M
Phosphoproteomic Analysis of T Cell Activation PathwaysR01AI083636 · NIAID · BROWN UNIVERSITY · PI SALOMON, ARTHUR ROBERT · 2010 to 2021
$4.0M
Acquisition of an Orbitrap XL ETD Mass Spectrometer through Upgrading an LTQS10RR027027 · NCRR · BROWN UNIVERSITY · PI HAWROT, EDWARD · 2010 to 2010
$500k
NCRR NIH HHS S10 RR027027NIAID NIH HHS P01 AI091580NIAID NIH HHS P01 AI91580NIAID NIH HHS R01 AI083636NIDDK NIH HHS P30 DK063720NIGMS NIH HHS T32 GM066698
6 · The paper itself

Abstract

T cell activation by antigens binding to the T cell receptor (TCR) must be properly regulated to ensure normal T cell development and effective immune responses to pathogens and transformed cells while avoiding autoimmunity. The Src family kinase Lck and the Syk family kinase ZAP-70 (ζ chain-associated protein kinase of 70 kD) are sequentially activated in response to TCR engagement and serve as critical components of the TCR signaling machinery that leads to T cell activation. We performed a mass spectrometry-based phosphoproteomic study comparing the quantitative differences in the temporal dynamics of phosphorylation in stimulated and unstimulated T cells with or without inhibition of ZAP-70 catalytic activity. The data indicated that the kinase activity of ZAP-70 stimulates negative feedback pathways that target Lck and thereby modulate the phosphorylation patterns of the immunoreceptor tyrosine-based activation motifs (ITAMs) of the CD3 and ζ chain components of the TCR and of signaling molecules downstream of Lck, including ZAP-70. We developed a computational model that provides a mechanistic explanation for the experimental findings on ITAM phosphorylation in wild-type cells, ZAP-70-deficient cells, and cells with inhibited ZAP-70 catalytic activity. This model incorporated negative feedback regulation of Lck activity by the kinase activity of ZAP-70 and predicted the order in which tyrosines in the ITAMs of TCR ζ chains must be phosphorylated to be consistent with the experimental data.

Indexed as

Models, ImmunologicalCatalysisFeedback, PhysiologicalHumansImmunity, CellularJurkat CellsLymphocyte Specific Protein Tyrosine Kinase p56(lck)Mass SpectrometryPhosphopeptidesPhosphorylationProteomicsReceptors, Antigen, T-CellSignal TransductionZAP-70 Protein-Tyrosine KinaseLymphocyte Specific Protein Tyrosine Kinase p56(lck)PhosphopeptidesReceptors, Antigen, T-CellZAP-70 Protein-Tyrosine Kinase

Identifiers

PMID25990959
PMCPMC4445242
OpenAlexW1936156958

What OpenQuestion holds

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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.