Evidence map›Paper›PMID 42700218›Full record

ArticleScience China. Life sciences2026

Single-cell multi-omics dissects transcript isoform and immune repertoire dynamics in human immunosenescence.

Yuhui Zheng, Ze-Hui Ren, Yafei Yang, Wenteng Liu, Fupeng Li, Yajun Zuo, Tao Zeng, Xue Wang, Xiumei Lin, Xinyue Zhu and 18 more

Abstract read
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In one paragraph

Article in Science China. Life sciences, 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. Review
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

28 authors.

Yuhui Zheng *College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Ze-Hui Ren *State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, 518083, China.
Yafei Yang *State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, 518083, China.
Wenteng Liu *State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, 518083, China.
Fupeng Li *College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yajun ZuoMGI Tech, Shenzhen, 518083, China.
Tao ZengState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, 518083, China.
Xue WangState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Hangzhou, 310030, China.
Xiumei LinState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Hangzhou, 310030, China.
Xinyue ZhuCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Baibing GuanCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Wenwen ZhouCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yunting HuangState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, 518083, China.
Wangsheng LiState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, 518083, China.
Yu FengState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, 518083, China.
Xiao YangDepartment of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Xin LiuCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Xin JinCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Hanjie LiKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Ying Ting SitState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, 518083, China.
Chang LiuState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, 518083, China.
Hongling ZhouBGI Research, Shenzhen, 518083, China.
Yuliang DongState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, 518083, China.
Xiangliang YangNational Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Xun XuCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Jun PuDepartment of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, 200127, China.
Jianhua YinState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, 518083, China.
Chuanyu LiuState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, 518083, China. liuchuanyu@genomics.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunosenescence, a major hallmark of systemic aging, refers to the progressive functional decline of the immune system. This decline not only compromises host defense and immunological memory but also fuels chronic inflammation and tissue degeneration (collectively known as inflammaging). While single-cell RNA sequencing (scRNA-seq) has revealed transcriptomic alterations associated with immune aging, analyses restricted to transcript abundance fail to capture deeper regulatory layers, such as transcript isoform diversity and the remodeling of immune receptor repertoires. To address this limitation, we present a human peripheral immune single-cell multi-omics atlas that integrates gene expression, transcript isoform diversity, and immune receptor repertoires. By combining single-cell full-length transcriptome sequencing (scCycloneSEQ), short-read scRNA-seq, and single-cell immune receptor sequencing (scTCR/BCR-seq), we systematically profiled peripheral blood mononuclear cells (PBMCs) from healthy donors aged 30-40 and 60-70 years. Our analyses uncovered extensive age-related remodeling of immune cell composition, functional states, and TCR/BCR diversity. Notably, we found that CD4

Indexed as

immunosenescencelong-readsingle-cellTCR/BCR

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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.