Evidence map›Paper›PMID 41144713›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

HTGTS-TCR-Seq for Profiling of Mouse and Human T-Cell Receptor α and β Gene Rearrangements and Diversity.

Rui Luo, Yawei Song, Meichen Wang, Longhao Zou, Fangtai Jiao, Tiange Yang, Guangchuan Wang, Zhuoyi Liang, Wei Wu, Hai-Qiang Dai

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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

10 authors.

Rui LuoState Key Laboratory of Epigenetic Regulation and Intervention, CAS Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
Yawei SongState Key Laboratory of Epigenetic Regulation and Intervention, CAS Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
Meichen WangState Key Laboratory of Epigenetic Regulation and Intervention, CAS Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
Longhao ZouState Key Laboratory of Epigenetic Regulation and Intervention, CAS Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
Fangtai JiaoState Key Laboratory of Epigenetic Regulation and Intervention, CAS Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
Tiange YangState Key Laboratory of Epigenetic Regulation and Intervention, CAS Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
Guangchuan WangState Key Laboratory of Epigenetic Regulation and Intervention, CAS Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
Zhuoyi LiangBioscience and Biomedical Engineering Thrust, Brain and Intelligence Research Institute, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511453, China.
Wei WuState Key Laboratory of Epigenetic Regulation and Intervention, CAS Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
Hai-Qiang DaiState Key Laboratory of Epigenetic Regulation and Intervention, CAS Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.ORCID https://orcid.org/0000-0003-4337-9770

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing αβ T lymphocytes generate T-cell receptor (TCR) diversity through V(D)J recombination, which assembles Tcra and Tcrb genes from germline variable (V), diversity (D), and joining (J) segments. Approaches to characterize TCR rearrangements and diversity are critical for studying T-cell development and immune function. Several existing methods, such as multiplex PCR and 5'RACE, have advanced the field; however, each carries inherent technical limitations. Here, high-throughput Genome-wide translocation sequencing-based TCR sequencing (HTGTS-TCR-seq), a complementary and cost-effective strategy for quantitative profiling of Tcra and Tcrb gene rearrangements, is presented. HTGTS-TCR-seq employs a limited set of 3-5 J or V region primers to enrich for V(D)J recombination products, allowing detection of both productive and nonproductive rearrangements. Application to wild-type murine thymocytes at defined developmental stages, as well as young and aged T cells, reveals stage-specific V and J usage and age-associated repertoire alterations. Analysis of Wapl-knockout preselection double-positive thymocytes uncovers a cell division-independent role for the cohesin-unloading factor WAPL in Tcra rearrangement. Moreover, analysis of human peripheral T cells demonstrates conserved complementarity-determining region 3 (CDR3) features and subset-specific Vβ usage across species. Collectively, HTGTS-TCR-seq provides an efficient and accessible approach for quantifying TCR rearrangements and diversity across development, aging, and immune-related conditions.

Indexed as

High-Throughput Nucleotide SequencingReceptors, Antigen, T-Cell, alpha-betaAnimalsHumansMiceT-LymphocytesV(D)J RecombinationReceptors, Antigen, T-Cell, alpha-betaantigen receptor diversificationHTGTS‐TCR‐seqTCR repertoireV(D)J recombinationαβ T cells

Identifiers

PMID41144713
PMCPMC12822386

What Socratic holds

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LicenceCC BY
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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 Socratic graph.