Evidence map›Paper›PMID 24114747›Full record

ArticleEuropean journal of immunology2014

2D TCR-pMHC-CD8 kinetics determines T-cell responses in a self-antigen-specific TCR system.

Baoyu Liu, Shi Zhong, Karolina Malecek, Laura A Johnson, Steven A Rosenberg, Cheng Zhu, Michelle Krogsgaard

Open access · bronzeAbstract read
In one paragraph

Article in European journal of immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

42 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
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  6. Article
  7. Review
  8. Mathematical models of TCR initial triggering.Frontiers in immunology · 2024
    Review
  9. Strategies and rules for tuning TCR-derived therapy.Expert reviews in molecular medicine · 2023
    Review
  10. Review
  11. What's the Catch? The Significance of Catch Bonds in T Cell Activation.Journal of immunology (Baltimore, Md. : 1950) · 2023
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. MHC Restriction: Where Are We Now?Viral immunology · 2020
    Article
  20. 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

7 authors at 5 institutions in 1 country.

Baoyu LiuWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Shi Zhong
Karolina Malecek
Laura A Johnson
Steven A Rosenberg
Cheng Zhu
Michelle Krogsgaard
New York University · USCenter for Cancer Research · USGeorgia Institute of Technology · USNational Institutes of Health · USThe Wallace H. Coulter Department of Biomedical Engineering · US

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADRIANA HEGUY · 1985 to 2026
$83.1M
Gene therapy of cancerZIABC010985 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI ROSENBERG, STEVEN · 2009 to 2025
$56.8M
Training program in Molecular BiophysicsT32GM088118 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI STOKES, DAVID L. · 2010 to 2019
$1.8M
Visualizing ligand-induced signal propagation in the TCR-signaling complexR01GM085586 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KROGSGAARD, MICHELLE · 2008 to 2014
$1.5M
Statistical Modeling of Receptor/Ligand Binding Kinetics on the T cell SurfaceR01GM096187 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI WU, CHIEN-FU JEFF · 2010 to 2012
$879k
Biophysical analysis of T-cell discrimination among classes of self-ligandsU01CA137070 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KROGSGAARD, MICHELLE · 2009 to 2010
$701k
Kinetic analysis of ligand binding by TCR and CD8R56AI038282 · NIAID · GEORGIA INSTITUTE OF TECHNOLOGY · PI ZHU, CHENG · 2012 to 2012
$389k
NCI NIH HHS NCI 1U01CA137070NCI NIH HHS P30 CA016087NCI NIH HHS U01 CA137070NIAID NIH HHS R56 AI038282NIAID NIH HHS R56AI038282NIGMS NIH HHS R01 GM085586NIGMS NIH HHS R01 GM096187NIGMS NIH HHS R01GM096187NIGMS NIH HHS T32 GM088118PHS HHS NIGMS 5R01GM085586
6 · The paper itself

Abstract

Two-dimensional (2D) kinetic analysis directly measures molecular interactions at cell-cell junctions, thereby incorporating inherent cellular effects. By comparison, three-dimensional (3D) analysis probes the intrinsic physical chemistry of interacting molecules isolated from the cell. To understand how T-cell tumor reactivity relates to 2D and 3D binding parameters and to directly compare them, we performed kinetic analyses of a panel of human T-cell receptors (TCRs) interacting with a melanoma self-antigen peptide (gp100209 -217 ) bound to peptide-major histocompatibility complex in the absence and presence of co-receptor CD8. We found that while 3D parameters are inadequate to predict T-cell function, 2D parameters (that do not correlate with their 3D counterparts) show a far broader dynamic range and significantly improved correlation with T-cell function. Thus, our data support the general notion that 2D parameters of TCR-peptide-major histocompatibility complex-CD8 interactions determine T-cell responsiveness and suggest a potential 2D-based strategy to screen TCRs for tumor immunotherapy.

Indexed as

CD8 AntigensCells, Culturedgp100 Melanoma AntigenHLA-A2 AntigenHumansIntercellular JunctionsKineticsLymphocyte ActivationNeoplasmsProtein BindingReceptors, Antigen, T-CellT-LymphocytesCD8 Antigensgp100 Melanoma AntigenHLA-A2 AntigenPMEL protein, humanReceptors, Antigen, T-Cell2D kineticsMicropipette adhesion frequency assayT-cell activationThermal fluctuation assay

Identifiers

PMID24114747
PMCPMC3941036
OpenAlexW1959193829

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.