The Genomics of Aging at the Single-Cell Scale

生物 细胞老化 人口 脆弱性(计算) 有机体 遗传学 医学 端粒 基因 环境卫生 计算机安全 计算机科学
作者
Wei Zhou,Junyue Cao
出处
期刊:Annual Review of Genomics and Human Genetics [Annual Reviews]
标识
DOI:10.1146/annurev-genom-120523-024422
摘要

Aging is the primary risk factor for many diseases, including neurodegenerative disorders, cardiovascular diseases, and cancer. The rapid advancement of single-cell sequencing technologies has opened promising avenues for investigating aging-associated cellular changes that contribute to disrupted system homeostasis and increased vulnerability to age-related diseases. Despite the abundance of data generated over the past decade, a systematic understanding of how aging affects cell type–specific populations across the entire mammalian organism remains lacking—a critical gap for elucidating the cellular foundations of aging-related system dysfunction. In this review, we address this knowledge gap by summarizing recent single-cell studies examining the impact of aging on cell type–specific population changes across mammalian organs. We also review the impact of gender and anti-aging interventions on cell population dynamics in aged mammals. This work provides a comprehensive catalog of cellular states susceptible to aging, highlighting potential therapeutic targets for aging and age-related diseases.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
molihuakai应助谨慎爆米花采纳,获得10
刚刚
1秒前
1秒前
传奇3应助科研通管家采纳,获得10
1秒前
傅立叶应助科研通管家采纳,获得10
1秒前
傅立叶应助科研通管家采纳,获得10
1秒前
xing_xing应助科研通管家采纳,获得30
1秒前
ding应助科研通管家采纳,获得10
1秒前
1秒前
隐形曼青应助科研通管家采纳,获得10
1秒前
充电宝应助科研通管家采纳,获得10
2秒前
Aurora应助科研通管家采纳,获得30
2秒前
华仔应助科研通管家采纳,获得10
2秒前
简隋英发布了新的文献求助20
2秒前
在水一方应助科研通管家采纳,获得10
2秒前
傅立叶应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
3秒前
科目三应助科研通管家采纳,获得10
3秒前
Ava应助科研通管家采纳,获得10
3秒前
DW应助科研通管家采纳,获得10
3秒前
胍基发布了新的文献求助10
3秒前
Jasper应助科研通管家采纳,获得10
3秒前
wanci应助科研通管家采纳,获得10
3秒前
Ali应助科研通管家采纳,获得20
3秒前
3秒前
molihuakai应助科研通管家采纳,获得10
3秒前
自由的天荷完成签到,获得积分10
3秒前
LGTOCQ关注了科研通微信公众号
4秒前
Aurora应助科研通管家采纳,获得30
4秒前
逆时针应助科研通管家采纳,获得30
4秒前
4秒前
5秒前
6秒前
6秒前
英俊青枫发布了新的文献求助10
6秒前
科研通AI6.4应助ouyx采纳,获得10
7秒前
8秒前
yiY给yiY的求助进行了留言
8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
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7779566
求助须知:如何正确求助?哪些是违规求助? 9319885
关于积分的说明 20373916
捐赠科研通 7367142
什么是DOI,文献DOI怎么找? 3319545
关于科研通互助平台的介绍 2467476
邀请新用户注册赠送积分活动 2335131