Evidence map›Paper›PMID 42893562›Full record

ArticleBriefings in bioinformatics2026

UcTCRp: a TCRβ-based framework for identifying and profiling MAIT- and iNKT-associated repertoire signals.

Linlin Chen, Yueyi Li, Shiwen Shan, Kaixuan Wang, Chao Feng, Yunsheng Dou, Qihang Xu, Linru Cai, Hao Wang, Haiyang Wang and 2 more

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Linlin ChenAcademy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China.
Yueyi LiAcademy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China.
Shiwen ShanAcademy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China.
Kaixuan WangAcademy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China.
Chao FengBeijing Institute of Basic Medical Sciences, No. 27, Taiping Road, Haidian District, Beijing 100850, China.
Yunsheng DouAcademy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China.
Qihang XuAcademy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China.
Linru CaiAcademy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China.
Hao WangAcademy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China.
Haiyang WangBeijing Institute of Radiation Medicine, No. 27, Taiping Road, Haidian District, Beijing 100850, China.
Xiaochen BoAcademy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China.
Jian ZhangAcademy of Medical Engineering and Translational Medicine, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China.ORCID 0000-0002-4966-2086

Funding

National Natural Science Foundation of China 32000468National Natural Science Foundation of China 32470688Natural Science Foundation of Tianjin Municipality 24JCZDJC01400
6 · The paper itself

Abstract

Mucosal-associated invariant T (MAIT) cells and invariant natural killer T (iNKT) cells are conventionally identified using invariant or semi-invariant TCRα chains, antigen-loaded tetramers, or transcriptomic phenotypes. These requirements limit their detection in public and clinical immune-repertoire datasets that contain only TCRβ sequences. Here we present UcTCRp, a TCRβ-only framework for detecting and profiling relative MAIT- and iNKT-associated signals in bulk immune repertoires. We first identified model-informative TCRβ features, including biased V-gene usage and reproducible CDR3β amino acid composition, in collected human and mouse MAIT and iNKT TCRβ sequences. UcTCRp subsequently integrates these features using species-specific transformer-based representation pretrained separately on large human and mouse TCRβ repertoires, followed by independent supervised modeling with curated MAIT, iNKT, and conventional T cell references for each species. The resulting species-specific models generalized robustly across independent human and mouse cohorts. In paired scRNA-seq/scTCR-seq datasets, UcTCRp recovered transcriptome-defined MAIT and iNKT cells and identified additional MAIT-like candidates supported by receptor evidence but missed by expression-only annotation. Bulk calibration against paired single-cell references and synthetic spike-in experiments established operating characteristics for repertoire-level abundance estimation. These results establish unpaired TCRβ repertoires as an actionable substrate for detecting relative unconventional T cell-associated immune signals, enabling archived repertoire resources to be repurposed for systems-level studies of tissue immunity, disease, and therapeutic response.

Indexed as

Mucosal-Associated Invariant T CellsNatural Killer T-CellsReceptors, Antigen, T-Cell, alpha-betaAnimalsHumansMiceReceptors, Antigen, T-Cell, alpha-betacomputational immunologydeep learninginvariant natural killer T (iNKT) cellsmucosal-associated invariant T (MAIT) cellsT cell receptor (TCR)unconventional T cells

Identifiers

PMID42893562
PMCPMC13677069

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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.