Evidence map›Paper›PMID 40815345›Full record

ArticleProtein science : a publication of the Protein Society2025

T-cell receptor insights: Determinants of Major Histocompatibility Complex class I versus class II recognition.

Marcus De Almeida Mendes, Leila Chihab, Jonas Birkelund Nilsson, Lonneke Scheffer, Morten Nielsen, Bjoern Peters

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Marcus De Almeida MendesCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, San Diego, California, USA.ORCID 0000-0002-2183-0121
Leila ChihabCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, San Diego, California, USA.
Jonas Birkelund NilssonDepartment of Health Technology, Technical University of Denmark, Copenhagen, Denmark.
Lonneke SchefferCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, San Diego, California, USA.
Morten NielsenDepartment of Health Technology, Technical University of Denmark, Copenhagen, Denmark.
Bjoern PetersCenter for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, San Diego, California, USA.

Funding

IMMUNE EPITOPE AND ANALYSIS PROGRAM: Transplantation of organs, tissues and cells 75N93019C00001 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI WILSON, STEPHEN · 2019 to 2025
$23.1M
THE CANCER EPITOPE DATABASE AND ANALYSIS RESOURCEU24CA248138 · NCI · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI PETERS, BJOERN, SETTE, ALESSANDRO · 2021 to 2025
$4.6M
NCI NIH HHS U24 CA248138NIAID NIH HHS 75N93019C00001NIH HHS 75N93019C00001NIH HHS U24CA248138
6 · The paper itself

Abstract

In this study, we analyzed large-scale T-cell receptor (TCR) sequence data to determine whether TCRs preferentially bind to major histocompatibility complex (MHC) class I (CD8+) or class II (CD4+) epitopes. Using the International ImMunoGeneTics information system numbering scheme, we identified specific positions with distinct amino acid enrichment for each MHC class and developed machine learning models for classification. While our frequency-based approach effectively differentiated MHC-I from MHC-II TCRs in cross-validation, performance declined when only beta chain data were used from real-world peripheral blood mononuclear cell samples. However, incorporating the TCR alpha chain significantly improved accuracy, emphasizing its importance for MHC recognition. Overall, we found that V-region loops can signal MHC class bias, aiding in immunotherapy design and TCR repertoire analysis, while highlighting the need for larger, more diverse datasets for reliable predictions.

Indexed as

Histocompatibility Antigens Class IHistocompatibility Antigens Class IIReceptors, Antigen, T-CellHumansMachine LearningHistocompatibility Antigens Class IHistocompatibility Antigens Class IIReceptors, Antigen, T-Cellcomputational biologyimmunoinformaticsimmunologymachine learningT‐cell receptor

Identifiers

PMID40815345
PMCPMC12356138

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.