Evidence map›Paper›PMID 30647147›Full record

ArticleScience signaling2019

Mapping the stochastic sequence of individual ligand-receptor binding events to cellular activation: T cells act on the rare events.

Jenny J Y Lin, Shalini T Low-Nam, Katherine N Alfieri, Darren B McAffee, Nicole C Fay, Jay T Groves

Abstract read
In one paragraph

Article in Science signaling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Distinguishing near- versus off-critical phase behaviors of intrinsically disordered proteins.Reports on progress in physics. Physical Society (Great Britain) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Parallel reactions on a single T cell receptor offer a robust kinetic proofreading mechanism.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Review
  9. Article
  10. Enzymatic Reactions Dictated by the 2D Membrane Environment.The journal of physical chemistry letters · 2025
    Article
  11. Proofreading and single-molecule sensitivity in T cell receptor signaling by condensate nucleation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Review
  14. Differential roles of kinetic on- and off-rates in T-cell receptor signal integration revealed with a modified Fab'-DNA ligand.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Review
  16. Review
  17. Article
  18. Antigen perception in T cells by long-term Erk and NFAT signaling dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Jenny J Y LinDepartment of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0002-9565-2276
Shalini T Low-NamDepartment of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0001-7055-9369
Katherine N AlfieriDepartment of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA.
Darren B McAffeeDepartment of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0002-2565-4938
Nicole C FayDepartment of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0001-5305-8466
Jay T GrovesDepartment of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA. jtgroves@lbl.gov.
University of California, Berkeley · US

Funding

Understand the metabolic fitness of naïve T cellsP01AI091580 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ARTHUR WEISS · 2011 to 2026
$31.1M
NIAID NIH HHS P01 AI091580
6 · The paper itself

Abstract

T cell receptor (TCR) binding to agonist peptide major histocompatibility complex (pMHC) triggers signaling events that initiate T cell responses. This system is remarkably sensitive, requiring only a few binding events to successfully activate a cellular response. On average, activating pMHC ligands exhibit mean dwell times of at least a few seconds when bound to the TCR. However, a T cell accumulates pMHC-TCR interactions as a stochastic series of discrete, single-molecule binding events whose individual dwell times are broadly distributed. With activation occurring in response to only a handful of such binding events, individual cells are unlikely to experience the average binding time. Here, we mapped the ensemble of pMHC-TCR binding events in space and time while simultaneously monitoring cellular activation. Our findings revealed that T cell activation hinges on rare, long-dwell time binding events that are an order of magnitude longer than the average agonist pMHC-TCR dwell time. Furthermore, we observed that short pMHC-TCR binding events that were spatially correlated and temporally sequential led to cellular activation. These observations indicate that T cell antigen discrimination likely occurs by sensing the tail end of the pMHC-TCR binding dwell time distribution rather than its average properties.

Indexed as

AlgorithmsAmino Acid SequenceAnimalsCells, CulturedKineticsLigandsLymphocyte ActivationMajor Histocompatibility ComplexMice, TransgenicMicroscopy, FluorescencePeptidesProtein BindingReceptors, Antigen, T-CellSignal TransductionT-LymphocytesLigandsPeptidesReceptors, Antigen, T-Cell

Identifiers

PMID30647147
PMCPMC6598675
OpenAlexW2911188303

What OpenQuestion holds

Textmetadata
LicenceTDM
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.