Integrating single-cell RNA and T cell/B cell receptor sequencing with mass cytometry reveals dynamic trajectories of human peripheral immune cells from birth to old age
Yufei Wang, Ronghong Li, Renyang Tong, Taiwei Chen, Mingze Sun, Lingjie Luo, Zheng Li, Yifan Chen, Yichao Zhao, Chensheng Zhang, Lin Wei, Wei Lin, Haoyan Chen, Kun Qian, Alex F. Chen, Junling Liu, Lei Chen, Bin Li, Feng Wang, Li Wang, Bing Su, Jun Pu
{"title":"Integrating single-cell RNA and T cell/B cell receptor sequencing with mass cytometry reveals dynamic trajectories of human peripheral immune cells from birth to old age","authors":"Yufei Wang, Ronghong Li, Renyang Tong, Taiwei Chen, Mingze Sun, Lingjie Luo, Zheng Li, Yifan Chen, Yichao Zhao, Chensheng Zhang, Lin Wei, Wei Lin, Haoyan Chen, Kun Qian, Alex F. Chen, Junling Liu, Lei Chen, Bin Li, Feng Wang, Li Wang, Bing Su, Jun Pu","doi":"10.1038/s41590-024-02059-6","DOIUrl":null,"url":null,"abstract":"<p>A comprehensive understanding of the evolution of the immune landscape in humans across the entire lifespan at single-cell transcriptional and protein levels, during development, maturation and senescence is currently lacking. We recruited a total of 220 healthy volunteers from the Shanghai Pudong Cohort (NCT05206643), spanning 13 age groups from 0 to over 90 years, and profiled their peripheral immune cells through single-cell RNA-sequencing coupled with single T cell and B cell receptor sequencing, high-throughput mass cytometry, bulk RNA-sequencing and flow cytometry validation experiments. We revealed that T cells were the most strongly affected by age and experienced the most intensive rewiring in cell–cell interactions during specific age. Different T cell subsets displayed different aging patterns in both transcriptomes and immune repertoires; examples included GNLY<sup>+</sup>CD8<sup>+</sup> effector memory T cells, which exhibited the highest clonal expansion among all T cell subsets and displayed distinct functional signatures in children and the elderly; and CD8<sup>+</sup> MAIT cells, which reached their peaks of relative abundance, clonal diversity and antibacterial capability in adolescents and then gradually tapered off. Interestingly, we identified and experimentally verified a previously unrecognized ‘cytotoxic’ B cell subset that was enriched in children. Finally, an immune age prediction model was developed based on lifecycle-wide single-cell data that can evaluate the immune status of healthy individuals and identify those with disturbed immune functions. Our work provides both valuable insights and resources for further understanding the aging of the immune system across the whole human lifespan.</p>","PeriodicalId":19032,"journal":{"name":"Nature Immunology","volume":"49 1","pages":""},"PeriodicalIF":27.7000,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Immunology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41590-024-02059-6","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
A comprehensive understanding of the evolution of the immune landscape in humans across the entire lifespan at single-cell transcriptional and protein levels, during development, maturation and senescence is currently lacking. We recruited a total of 220 healthy volunteers from the Shanghai Pudong Cohort (NCT05206643), spanning 13 age groups from 0 to over 90 years, and profiled their peripheral immune cells through single-cell RNA-sequencing coupled with single T cell and B cell receptor sequencing, high-throughput mass cytometry, bulk RNA-sequencing and flow cytometry validation experiments. We revealed that T cells were the most strongly affected by age and experienced the most intensive rewiring in cell–cell interactions during specific age. Different T cell subsets displayed different aging patterns in both transcriptomes and immune repertoires; examples included GNLY+CD8+ effector memory T cells, which exhibited the highest clonal expansion among all T cell subsets and displayed distinct functional signatures in children and the elderly; and CD8+ MAIT cells, which reached their peaks of relative abundance, clonal diversity and antibacterial capability in adolescents and then gradually tapered off. Interestingly, we identified and experimentally verified a previously unrecognized ‘cytotoxic’ B cell subset that was enriched in children. Finally, an immune age prediction model was developed based on lifecycle-wide single-cell data that can evaluate the immune status of healthy individuals and identify those with disturbed immune functions. Our work provides both valuable insights and resources for further understanding the aging of the immune system across the whole human lifespan.
期刊介绍:
Nature Immunology is a monthly journal that publishes the highest quality research in all areas of immunology. The editorial decisions are made by a team of full-time professional editors. The journal prioritizes work that provides translational and/or fundamental insight into the workings of the immune system. It covers a wide range of topics including innate immunity and inflammation, development, immune receptors, signaling and apoptosis, antigen presentation, gene regulation and recombination, cellular and systemic immunity, vaccines, immune tolerance, autoimmunity, tumor immunology, and microbial immunopathology. In addition to publishing significant original research, Nature Immunology also includes comments, News and Views, research highlights, matters arising from readers, and reviews of the literature. The journal serves as a major conduit of top-quality information for the immunology community.