Evidence map›Paper›PMID 42118153›Full record

ArticleThe Journal of experimental medicine2026

PRECISE-seq reveals disease-relevant TCR repertoires with phenotypic plasticity.

Shibo Liu, Guanghao Liang, Yayun Yang, Yanyang Shi, Lihui Dong, Yue Zhao, Boyuan Mei, Jun Wang, Feng Lin, Yilin Li and 6 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Shibo Liu *New Cornerstone Science Laboratory, Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.ORCID 0009-0008-2444-6820
Guanghao Liang *Department of Computational Biology, Key Laboratory of RNA Science and Engineering, China National Center for Bioinformation, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-0327-9874
Yayun Yang *State Key Laboratory of Molecular Oncology, School of Basic Medical Sciences, Institute for Immunology, Tsinghua University, Beijing, China.ORCID 0009-0008-3229-8311
Yanyang Shi *State Key Laboratory of Molecular Oncology, School of Basic Medical Sciences, Institute for Immunology, Tsinghua University, Beijing, China.ORCID 0009-0009-2817-9720
Lihui Dong *Department of Computational Biology, Key Laboratory of RNA Science and Engineering, China National Center for Bioinformation, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.ORCID 0009-0006-2674-3648
Yue ZhaoRootPath, Inc. , Guangzhou, China.ORCID 0009-0004-4667-2715
Boyuan MeiState Key Laboratory of Molecular Oncology, School of Basic Medical Sciences, Institute for Immunology, Tsinghua University, Beijing, China.ORCID 0009-0008-1092-8132
Jun WangDepartment of Pathology, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0000-0002-6346-2929
Feng LinNew Cornerstone Science Laboratory, Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.ORCID 0000-0001-9214-6549
Yilin LiState Key Laboratory of Molecular Oncology, School of Basic Medical Sciences, Institute for Immunology, Tsinghua University, Beijing, China.ORCID 0009-0008-6179-7558
Wenxin DongState Key Laboratory of Molecular Oncology, School of Basic Medical Sciences, Institute for Immunology, Tsinghua University, Beijing, China.ORCID 0000-0001-6627-6016
Chengyang LiuState Key Laboratory of Molecular Oncology, School of Basic Medical Sciences, Institute for Immunology, Tsinghua University, Beijing, China.ORCID 0000-0003-1005-8196
Yuhui CaoNew Cornerstone Science Laboratory, Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.ORCID 0009-0008-3337-9156
Dali HanDepartment of Computational Biology, Key Laboratory of RNA Science and Engineering, China National Center for Bioinformation, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-7119-1578
Peng R ChenNew Cornerstone Science Laboratory, Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.ORCID 0000-0002-0402-7417
Meng Michelle XuState Key Laboratory of Molecular Oncology, School of Basic Medical Sciences, Institute for Immunology, Tsinghua University, Beijing, China.ORCID 0009-0007-1639-5640

Funding

Beijing Natural Science FoundationBeijing Natural Science Foundation Z200010Beijing Natural Science Foundation Z200023Ministry of Science and Technology 2021YFA1302603National Natural Science Foundation of China 21937001National Natural Science Foundation of China 22137001National Natural Science Foundation of China 81922054National Natural Science Foundation of China 91753000New Cornerstone Science FoundationTsinghua University Dushi Program 20251080034
6 · The paper itself

Abstract

Linking T cell phenotypes with antigen specificity and functional avidity is critical for understanding in vivo immune responses in infection and cancer. Here, we develop PRECISE-seq, a method that integrates multi-omics T cell analysis with contact-dependent proximity labeling for rapid screening of disease-relevant T cell repertoires, and for linking the relative TCR avidity with T cell phenotypes at single-cell resolution. PRECISE-seq accurately retrieves CMV-specific clonotypes from human peripheral blood and quantitatively measures functional avidity in physiological contexts. We find that high-potency CMV-specific T cells preferentially acquire an exhausted phenotype. In tumors, polyclonal tumor-reactive CD8+ T cells predominantly differentiate into a protumor Ly49+ regulatory state (TLy49), characterized by inhibitory killer cell lectin-like receptor expression and originating from effector memory T cells along a trajectory distinct from exhaustion. Notably, PD-1 blockade reduces TLy49 formation and promotes effector revival, which correlates with responsiveness to immunotherapy. Together, PRECISE-seq enables high-resolution mapping of TCR potency and T cell phenotype, revealing a regulatory axis shaping T cell fate in tumors.

Indexed as

CD8-Positive T-LymphocytesNeoplasmsReceptors, Antigen, T-CellAnimalsCytomegalovirusHumansPhenotypeSingle-Cell AnalysisT-Cell ExhaustionReceptors, Antigen, T-Cell

Identifiers

PMID42118153
PMCPMC13165028

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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.