Evidence map›Paper›PMID 42327727›Full record

ArticleFrontiers in immunology2026

Evaluating the effects of CD8/CD4 on T cell function in terms of TCR-pMHC-coreceptor catch and slip bonds.

Stefano Travaglino, Amir Hossein Kazemipour Ashkezari, Menglan Li, Valencia E Watson, Peiwen Cong, Larissa Doudy, Hyun-Kyu Choi, Cheng Zhu

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Stefano Travaglino *Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Amir Hossein Kazemipour Ashkezari *Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA, United States.
Menglan LiWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Valencia E WatsonWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Peiwen CongWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Larissa DoudyWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Hyun-Kyu ChoiDepartment of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.
Cheng ZhuWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.

Funding

Mechanisms of impaired T-cell mechanosensing of melanoma antigensU01CA214354 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI KROGSGAARD, MICHELLE, ZHU, CHENG · 2017 to 2021
$3.9M
Exploiting the Mechanobiology of PD-1 for Cancer ImmunotherapyU01CA250040 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI ZHU, CHENG · 2020 to 2024
$3.5M
T-cell intrinsic mechanisms of resistance to PD-1 checkpoint blockadeR01CA243486 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KROGSGAARD, MICHELLE, ZHU, CHENG · 2020 to 2024
$3.5M
Dysregulated mechanoimmunology of epigenetics-driven lymphomasU01CA280984 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI Ankur Singh, Cheng Zhu · 2023 to 2026
$2.1M
Optimizing TCR-CD3 signaling for immunotherapy of cancerR01CA284604 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MICHELLE KROGSGAARD, Cheng Zhu · 2024 to 2026
$1.9M
NCI NIH HHS R01 CA243486NCI NIH HHS R01 CA284604NCI NIH HHS U01 CA214354NCI NIH HHS U01 CA250040NCI NIH HHS U01 CA280984
6 · The paper itself

Abstract

Background: T cells recognize antigens through T cell receptor (TCR) interactions with peptide-major histocompatibility complex (pMHC) assisted by the CD4 or CD8 coreceptors depending on the MHC class. Under force, TCR-pMHC interactions form catch or slip bonds whose profiles have been proposed to shape TCR triggering and ligand discrimination, but their predictive value, particularly in the presence of coreceptor engagement, remains incompletely characterized. Methods: Built upon our recent correlative analysis of TCR-pMHC bimolecular catch bonds with T cell function, we analyzed 27 paired TCR-pMHC datasets measured under conditions that either prevented or permitted CD8 or CD4 co-engagement, drawn from multiple laboratories, cell types and measurement techniques, supplemented with a set of new experiments, to correlate 2D and 3D biophysical parameters with antigen-induced T cell responses. Results: We found that metrics extracted from force-dependent bond lifetime curves (e.g. the optimal force and catch bond intensity) predict T cell activation and thymocyte selection better than force-free parameters measured either Conclusion: Our findings highlight the importance of force in antigen recognition by the TCR and reveal that parameters derived from the bond profile, especially in the presence of coreceptor, are more informative predictors of T cell activation compared to conventional affinity-based measurements. These results offer insights into the relation between catch bonds and CD8 co-engagement in TCR antigen recognition.

Indexed as

CD4 AntigensCD4-Positive T-LymphocytesCD8 AntigensCD8-Positive T-LymphocytesMajor Histocompatibility ComplexReceptors, Antigen, T-CellAnimalsHumansLymphocyte ActivationProtein BindingCD4 AntigensCD8 AntigensReceptors, Antigen, T-Cellcatch bondCD4CD8co-receptormechanotransductionpeptide major histocompatibility complexslip bondT cell receptor

Identifiers

PMID42327727
PMCPMC13279612

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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.