Evidence map›Paper›PMID 42502193›Full record

ArticleAging cell2026

Single Cell and Spatially Resolved Transcriptome and Immune Repertoire of Mouse Thymus During Aging Reveal Immunological Heterogeneity and Direction of Thymic Selection Pressure.

Jialing Fang, Jun Lei, Peng Chen, Zaiqiao Sun, Boxiao He, Yankang Wu, Chonil Paek, Ning Wu, Yafei Huang, ZhaoKui Dan and 5 more

Abstract read
In one paragraph

Article in Aging cell, 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

15 authors.

Jialing FangDepartment of Pediatric Research Institute Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Intelligent Application of Big Data in Pediatrics Engineering Research Center of Chongqing Education Commission of China, Chongqing, China.
Jun LeiDepartment of Laboratory Medicine, Hangzhou Xixi Hospital, Hangzhou Sixth People's Hospital, Hangzhou Medical College, Hangzhou, China.ORCID https://orcid.org/0000-0001-5203-2766
Peng ChenDepartment of Pediatric Research Institute Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Intelligent Application of Big Data in Pediatrics Engineering Research Center of Chongqing Education Commission of China, Chongqing, China.
Zaiqiao SunDepartment of Pediatric Research Institute Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Intelligent Application of Big Data in Pediatrics Engineering Research Center of Chongqing Education Commission of China, Chongqing, China.
Boxiao HeHubei Key Laboratory of Cell Homeostasis, State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China.
Yankang WuHubei Key Laboratory of Cell Homeostasis, State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China.
Chonil PaekHubei Key Laboratory of Cell Homeostasis, State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, China.
Ning WuDepartment of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yafei HuangDepartment of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
ZhaoKui DanClinical Medicine School of Hubei University of Science and Technology, Xianning, China.
Hui ZhangKindstar Global Precision Medicine Institute, Wuhan, China.
Zijing XuKindstar Global Precision Medicine Institute, Wuhan, China.
Pengcheng WeiGuangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Nanning, China.
Yongshun ChenCancer Center, the Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
Lei YinDepartment of Pediatric Research Institute Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Intelligent Application of Big Data in Pediatrics Engineering Research Center of Chongqing Education Commission of China, Chongqing, China.

Funding

Construction Fund of Key Medical Disciplines of Hangzhou 2025HZGF09Construction Fund of Key Medical Disciplines of Hangzhou 2025HZZD13National Key Research and Development Program of China 2022YFA1303500National Natural Science Foundation of China 31870728National Natural Science Foundation of China 32171210National Natural Science Foundation of China 32301017National Natural Science Foundation of China 32371271Science and Technology Foundation of Wuhan KYXM2022003State Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancerthe International Joint (NSFC-GF) on Diagnostic Technology 82561128251/2025DNJP0203
6 · The paper itself

Abstract

The thymus is the central organ where T cells differentiate and proliferate. T cells experience the TCR recombination to generate diversity, self-antigen tolerance, and immune response. However, the spatial heterogeneity of transcriptomics and immune repertoire of the thymus during aging haven't been studied. We constructed the thymus's spatial transcriptomics and spatial immune repertoire atlas by TCR-specific amplification. The integrated multi-omics analysis of the scRNA-seq, ST-seq, spatial-TCR-seq, scTCR-seq, and TCR-seq was developed to investigate the thymus during aging. ST-seq demonstrated that the heterogeneity of the cortex and a novel cortex subset associated with progenitor cell differentiation was identified. Proliferating CD69negDN T cells decreased and regulatory CD4SP T cells increased during aging. Using deconvolution analyses, the spatial distribution of T cell subsets was revealed. The spatial distribution of TCR recombination and distinct thymic selection processes were illustrated. Pseudo-time analyses demonstrated differentiation order and spatial migration route of T cells. The novel spatial-TCR-seq demonstrated the overall spatial distribution of TCR, the TCR pairing process, and their dynamic features under thymic selection pressure which revealed that TRB clonotypes with hydrophilic and low-pI CDR3s tended to pass the negative selection opposite to the positive selection. The positive selection pressure of the thymus diminishes during the aging process. A TCR maturation scoring system using TCR-seq was developed to identify TCR clonotypes that tended to mature. All boost the thymus study into the era of spatial immune repertoire and transcriptome and widen our knowledge about T cell development.

Indexed as

AgingSingle-Cell AnalysisThymus GlandTranscriptomeAnimalsCell DifferentiationMiceMice, Inbred C57BLReceptors, Antigen, T-CellSpatial TranscriptomicsReceptors, Antigen, T-Cellimmune repertoirescRNA‐seqscTCR‐seqspatial‐TCR‐seqST‐seqthymic selection pressurethymusthymus aging

Identifiers

PMID42502193
PMCPMC13401621

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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.