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(Shanghai Jiao Tong University), Ronghong Li(Shanghai Jiao Tong University), Renyang Tong(Shanghai Jiao Tong University), Taiwei Chen(Shanghai Jiao Tong University), Mingze Sun(Shanghai Jiao Tong University), Lingjie Luo(Shanghai Jiao Tong University), Zheng Li(Shanghai Jiao Tong University), Yifan Chen(Shanghai Jiao Tong University), Yichao Zhao(Shanghai Jiao Tong University), Chensheng Zhang(Shanghai Jiao Tong University), Wei Lin(Shanghai Jiao Tong University), Wei Lin(Shanghai Jiao Tong University), Haoyan Chen(Shanghai Jiao Tong University), Kun Qian(Shanghai Jiao Tong University), Alex F. Chen(Shanghai Jiao Tong University), Junling Liu(Shanghai Jiao Tong University), Lei Chen(Shanghai Jiao Tong University), Bin Li(Shanghai Jiao Tong University), Feng Wang(Shanghai Jiao Tong University), Li Wang(Chinese Academy of Medical Sciences & Peking Union Medical College), Bing Su(Shanghai Jiao Tong University), Jun Pu(Renji Hospital)
Nature Immunology
January 29, 2025
Cited by 83Open Access
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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. In this Resource, authors profile peripheral immune cells from a total of 220 healthy volunteers from birth to over 90 years. This revealed that T cells were most affected by aging with divergent aging patterns in different subsets and identified a population of cytotoxic B cells that were enriched in children.


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