Multidimensional single-cell analysis of human peripheral blood reveals characteristic features of the immune system landscape in aging and frailty

免疫系统 生物 转录组 表型 细胞 免疫学 基因表达谱 计算生物学 基因 遗传学 基因表达
作者
Oscar Junhong Luo,Lei Wen,Guodong Zhu,Zhiyao Ren,Yudai Xu,Chanchan Xiao,Hongyi Zhang,Junxiang Cai,Zhiping Luo,Lijuan Gao,Jun Su,Lei Tang,Wei Guo,Huanxing Su,Zhang‐Jin Zhang,Evandro Fei Fang,Yijun Ruan,Sean X. Leng,Zhenyu Ju,Huiling Lou
出处
期刊:Nature Aging 卷期号:2 (4): 348-364 被引量:121
标识
DOI:10.1038/s43587-022-00198-9
摘要

Frailty is an intermediate status of the human aging process, associated with decompensated homeostasis and death. The immune phenotype of frailty and its underlying cellular and molecular processes remain poorly understood. We profiled 114,467 immune cells from cord blood, young adults and healthy and frail old adults using single-cell RNA and TCR sequencing. Here we show an age-dependent accumulation of transcriptome heterogeneity and variability in immune cells. Characteristic transcription factors were identified in given cell types of specific age groups. Trajectory analysis revealed cells from non-frail and frail old adults often fall into distinct paths. Numerous TCR clonotypes were shared among T-cell subtypes in old adults, indicating differential pluripotency and resilience capabilities of aged T cells. A frailty-specific monocyte subset was identified with exclusively high expression of long noncoding RNAs NEAT1 and MALAT1. Our study discovers human frailty-specific immune cell characteristics based on the comprehensive dimensions in the immune landscape of aging and frailty. Luo et al. report a single-cell landscape of human blood from newborn to frailty. Comprehensive profiling uncovers frailty-specific immune cells and gene expression signatures useful for formulating a clinically relevant screen for unhealthy aging.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
香蕉觅云应助OFF采纳,获得10
刚刚
小马哥完成签到,获得积分10
刚刚
好困发布了新的文献求助30
刚刚
阳光灿烂完成签到,获得积分10
刚刚
欧贤书发布了新的文献求助20
1秒前
英姑应助qll采纳,获得20
1秒前
彭于晏应助花火妖妖采纳,获得10
1秒前
1秒前
芥末完成签到,获得积分10
1秒前
枯藤老柳树完成签到,获得积分10
1秒前
yummy完成签到,获得积分10
2秒前
zxx完成签到,获得积分20
2秒前
2秒前
舒服的尔丝完成签到,获得积分10
2秒前
地三鲜完成签到,获得积分10
2秒前
2秒前
Orange应助baotai采纳,获得10
2秒前
xlk完成签到,获得积分10
3秒前
动听帆布鞋完成签到,获得积分10
3秒前
文静的糖豆完成签到,获得积分10
4秒前
华仔应助欢呼万宝路采纳,获得10
4秒前
wml应助sharkmelon采纳,获得10
4秒前
kydd完成签到,获得积分10
6秒前
情怀应助肖望采纳,获得10
6秒前
沟通亿心发布了新的文献求助10
6秒前
Hello应助舒服的尔丝采纳,获得10
7秒前
小劳完成签到,获得积分10
7秒前
儒雅的过客完成签到,获得积分10
8秒前
仲夏完成签到,获得积分10
8秒前
拿捏陕科大完成签到,获得积分10
8秒前
量子星尘发布了新的文献求助10
8秒前
大壮完成签到,获得积分10
9秒前
风清扬应助科研通管家采纳,获得10
9秒前
ZhaohuaXie应助科研通管家采纳,获得10
10秒前
爆米花应助科研通管家采纳,获得10
10秒前
JamesPei应助科研通管家采纳,获得10
10秒前
Akim应助科研通管家采纳,获得10
10秒前
NameCYQ完成签到,获得积分10
10秒前
深情安青应助111采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Predation in the Hymenoptera: An Evolutionary Perspective 1800
List of 1,091 Public Pension Profiles by Region 1561
Binary Alloy Phase Diagrams, 2nd Edition 1200
Holistic Discourse Analysis 600
Beyond the sentence: discourse and sentential form / edited by Jessica R. Wirth 600
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5510498
求助须知:如何正确求助?哪些是违规求助? 4605134
关于积分的说明 14492967
捐赠科研通 4540342
什么是DOI,文献DOI怎么找? 2487940
邀请新用户注册赠送积分活动 1470152
关于科研通互助平台的介绍 1442632