The pathogenesis of endometriosis and adenomyosis: insights from single-cell RNA sequencing

生物 子宫腺肌病 子宫内膜异位症 发病机制 间质细胞 免疫系统 癌症研究 病理 免疫学 医学
作者
Qiutong Li,Jinghua Shi,Yi Dai,Xiaoyan Li,Zhiyue Gu,Hailan Yan,Jinhua Leng
出处
期刊:Biology of Reproduction [Oxford University Press]
卷期号:110 (5): 854-865 被引量:4
标识
DOI:10.1093/biolre/ioae032
摘要

Abstract Endometriosis and adenomyosis are two similar gynecological diseases that are characterized by ectopic implantation and the growth of the endometrial tissue. Previous studies have reported that they share a common pathophysiology in some respects, such as a similar cellular composition and resistance to the progestogen of lesions, but their underlying mechanisms remain elusive. Emerging single-cell ribonucleic acid sequencing (scRNA-seq) technologies allow for the dissection of single-cell transcriptome mapping to reveal the etiology of diseases at the level of the individual cell. In this review, we summarized the published findings in research on scRNA-seq regarding the cellular components and molecular profiles of diverse lesions. They show that epithelial cell clusters may be the vital progenitors of endometriosis and adenomyosis. Subclusters of stromal cells, such as endometrial mesenchymal stem cells and fibroblasts, are also involved in the occurrence of endometriosis and adenomyosis, respectively. Moreover, CD8+ T cells, natural killer cells, and macrophages exhibit a deficiency in clearing the ectopic endometrial cells in the immune microenvironment of endometriosis. It seems that the immune responses are activated in adenomyosis. Understanding the immune characteristics of adenomyosis still needs further exploration. Finally, we discuss the application of findings from scRNA-seq for clinical diagnosis and treatment. This review provides fresh insights into the pathogenesis of endometriosis and adenomyosis as well as the therapeutic targets at the cellular level.
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
香蕉觅云应助lcy采纳,获得10
刚刚
ding应助罗明芳采纳,获得30
刚刚
刚刚
脑洞疼应助Una采纳,获得30
刚刚
肘子发布了新的文献求助10
刚刚
巫马发布了新的文献求助10
1秒前
1秒前
科研通AI5应助顺利紫山采纳,获得10
1秒前
ytx发布了新的文献求助10
1秒前
1秒前
科研通AI5应助kinmke采纳,获得10
2秒前
2秒前
2秒前
kuku完成签到,获得积分10
2秒前
地方发布了新的文献求助10
2秒前
绿油油完成签到,获得积分10
4秒前
4秒前
4秒前
大个应助能干夏波采纳,获得10
4秒前
科研通AI5应助A拉拉拉采纳,获得10
5秒前
6秒前
loricae2005完成签到,获得积分10
6秒前
万能图书馆应助haomozc采纳,获得10
7秒前
AD发布了新的文献求助10
7秒前
7秒前
澈千子完成签到,获得积分10
7秒前
ww发布了新的文献求助10
8秒前
Marilyn叶发布了新的文献求助10
8秒前
图书馆发布了新的文献求助10
8秒前
8秒前
彩色千万完成签到 ,获得积分10
8秒前
pzzz123完成签到,获得积分10
9秒前
9秒前
9秒前
9秒前
aaa发布了新的文献求助10
9秒前
酷波er应助风趣的绮露采纳,获得10
10秒前
肘子完成签到,获得积分10
10秒前
11秒前
tang完成签到,获得积分10
11秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
Measure Mean Linear Intercept 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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3731524
求助须知:如何正确求助?哪些是违规求助? 3275864
关于积分的说明 9994186
捐赠科研通 2991405
什么是DOI,文献DOI怎么找? 1641512
邀请新用户注册赠送积分活动 779895
科研通“疑难数据库(出版商)”最低求助积分说明 748480