Transcriptomic landscape and potential therapeutic targets for human testicular aging revealed by single-cell RNA sequencing

生物 体细胞 转录组 生殖系 间质细胞 干细胞 小RNA DNA损伤 生育率 癌症研究 基因 生物信息学 遗传学 基因表达 内分泌学 医学 激素 人口 DNA 环境卫生 促黄体激素
作者
Kai Xia,Siyuan He,Peng Luo,Lin Dong,Feng Gao,Xuren Chen,Yunlin Ye,Yong Gao,Yuanchen Ma,Yadong Zhang,Qiyun Yang,Dayu Han,Xin Feng,Zi Wan,Hongcai Cai,Qiong Ke,Tao Wang,Weiqiang Li,Xiang-An Tu,Xiang-Zhou Sun
出处
期刊: [Cold Spring Harbor Laboratory]
被引量:2
标识
DOI:10.1101/2022.12.11.519976
摘要

Abstract Background: Testicular aging is known to cause male age-related fertility decline and hypogonadism, but the underlying molecular mechanisms remain unclear. Methods: We survey the single-cell transcriptomic landscape of testes from young and old men and examine age-related changes in germline and somatic niche cells. Results: In-depth evaluation of the gene expression dynamics of germline cells reveals that disturbance of base-excision repair pathway is a major feature of aging spermatogonial stem cells (SSCs), suggesting that defective DNA repair of SSCs may serve as a potential driver for increased de novo germline mutations with age. Further analysis of aging-associated transcriptional changes shows that stress-related changes and apoptotic signaling pathway accumulate in aged somatic cells. We identify age-related impairment of redox homeostasis in aged Leydig cells and find that pharmacological treatment with antioxidants alleviate this cellular dysfunction of Leydig cells and promote testosterone production. Lastly, our results reveal that decreased pleiotrophin (PTN) signaling is a contributing factor for testicular aging. Conclusions: These findings provide a comprehensive understanding of the cell-type-specific mechanisms underlying human testicular aging at a single-cell resolution, and suggest potential therapeutic targets that may be leveraged to address age-related male fertility decline and hypogonadism. Funding: This work was supported by the National Key Research and Development Program of China (2018YFA0107200, 2018YFA0801404), the National Natural Science Foundation of China (32130046, 82171564, 82101669, 81871110, 81971759), the Key Research and Development Program of Guangdong Province (2019B020234001), the Natural Science Foundation of Guangdong Province, China (2022A1515010371), the Major Project of Medical Science and Technology Development Research Center of National Health Planning Commission, China (HDSL202001000), the Open Project of NHC Key Laboratory of Male Reproduction and Genetics (Family Planning Research Institute of Guangdong Province) (KF202001), the Guangdong Province Regional Joint Fund-Youth Fund Project (2021A1515110921), the China Postdoctoral Science Foundation (2021M703736).
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
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
jackonma完成签到,获得积分10
1秒前
科目三的应助被crist采纳,获得10
2秒前
2秒前
111发布了新的文献求助10
2秒前
2秒前
4秒前
5秒前
WGK发布了新的文献求助10
5秒前
15735802374发布了新的文献求助10
6秒前
6秒前
充电宝的应助被秋澍壆采纳,获得10
7秒前
zzz完成签到,获得积分10
7秒前
7秒前
人间小苦瓜完成签到,获得积分10
8秒前
xiaowang发布了新的文献求助10
8秒前
8秒前
科研通AI6.4的应助被花海采纳,获得10
9秒前
connie完成签到,获得积分10
10秒前
10秒前
XieQinxie完成签到,获得积分10
10秒前
刘晨飞发布了新的文献求助50
11秒前
Andyflowers发布了新的文献求助10
12秒前
鸥羡发布了新的文献求助10
13秒前
机智的白卉的应助被罗裕康采纳,获得10
13秒前
爆米花的应助被罗裕康采纳,获得10
13秒前
13秒前
14秒前
周嘉伟完成签到,获得积分10
14秒前
英俊的铭的应助被笋尖鱼采纳,获得10
14秒前
15秒前
15秒前
香蕉觅云的应助被Kidmuse采纳,获得10
15秒前
小小完成签到,获得积分10
16秒前
17秒前
18秒前
江江江11发布了新的文献求助10
18秒前
gs完成签到,获得积分10
19秒前
cc发布了新的文献求助30
20秒前
王伟发布了新的文献求助10
20秒前
无花果的应助被xcy0113采纳,获得10
20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
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Entre Praga y Madrid : los contactos checoslovaco-españoles (1948-1977) 600
A REVIEW OF THE V-22 DYNAMICS VALIDATION PROGRAM 600
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 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8128999
求助须知:如何正确求助?哪些是违规求助? 9531436
关于积分的说明 21590445
捐赠科研通 7709918
什么是DOI,文献DOI怎么找? 3417499
关于科研通互助平台的介绍 2543039
邀请新用户注册赠送积分活动 2458761