Super-enhancer omics in stem cell

生物 干细胞 表观遗传学 增强子 癌症干细胞 计算生物学 细胞分化 诱导多能干细胞 细胞生物学 遗传学 胚胎干细胞 转录因子 基因
作者
Hongying Ma,Jian Qu,Zicheng Pang,Jian Luo,Min Yan,Wei-Xin Xu,Haihui Zhuang,Linxin Liu,Qiang Qu
出处
期刊:Molecular Cancer [Springer Nature]
卷期号:23 (1): 153-153 被引量:9
标识
DOI:10.1186/s12943-024-02066-z
摘要

Abstract The hallmarks of stem cells, such as proliferation, self-renewal, development, differentiation, and regeneration, are critical to maintain stem cell identity which is sustained by genetic and epigenetic factors. Super-enhancers (SEs), which consist of clusters of active enhancers, play a central role in maintaining stemness hallmarks by specifically transcriptional model. The SE-navigated transcriptional complex, including SEs, non-coding RNAs, master transcriptional factors, Mediators and other co-activators, forms phase-separated condensates, which offers a toggle for directing diverse stem cell fate. With the burgeoning technologies of multiple-omics applied to examine different aspects of SE, we firstly raise the concept of “super-enhancer omics”, inextricably linking to Pan-omics. In the review, we discuss the spatiotemporal organization and concepts of SEs, and describe links between SE-navigated transcriptional complex and stem cell features, such as stem cell identity, self-renewal, pluripotency, differentiation and development. We also elucidate the mechanism of stemness and oncogenic SEs modulating cancer stem cells via genomic and epigenetic alterations hijack in cancer stem cell. Additionally, we discuss the potential of targeting components of the SE complex using small molecule compounds, genome editing, and antisense oligonucleotides to treat SE-associated organ dysfunction and diseases, including cancer. This review also provides insights into the future of stem cell research through the paradigm of SEs.
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
科研通AI6.3应助一页墨城采纳,获得10
刚刚
畅快太君发布了新的文献求助10
1秒前
QAQ77完成签到,获得积分10
2秒前
大模型应助FOREST采纳,获得10
3秒前
zhangnaozi发布了新的文献求助10
4秒前
4秒前
常淼淼完成签到,获得积分10
4秒前
萝卜完成签到,获得积分10
4秒前
轻念发布了新的文献求助10
5秒前
兰瓜瓜完成签到,获得积分10
5秒前
chen发布了新的文献求助10
5秒前
YiLu完成签到,获得积分10
6秒前
夜雨潇潇完成签到,获得积分10
6秒前
李爱国应助zzzz采纳,获得10
6秒前
8秒前
10秒前
今后应助11采纳,获得10
10秒前
kathy发布了新的文献求助10
10秒前
Jasper应助WJZ采纳,获得10
11秒前
芝芝椰奶冻完成签到,获得积分10
12秒前
12秒前
13秒前
打打应助zhangnaozi采纳,获得10
13秒前
14秒前
呐呐呐发布了新的文献求助10
14秒前
Y_Y完成签到,获得积分10
14秒前
HMethod完成签到 ,获得积分10
15秒前
lzt发布了新的文献求助10
16秒前
16秒前
心灵美复天完成签到,获得积分10
16秒前
斯文败类应助唐铁采纳,获得10
16秒前
威威发布了新的文献求助10
17秒前
xiaoyu完成签到,获得积分10
17秒前
冲冲冲应助222222采纳,获得10
17秒前
852应助轻念采纳,获得10
18秒前
线条完成签到 ,获得积分0
18秒前
18秒前
19秒前
quyue818发布了新的文献求助10
21秒前
大模型应助小张要发论文采纳,获得30
22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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 生物化学 化学工程 物理 计算机科学 复合材料 内科学 催化作用 物理化学 光电子学 电极 冶金 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6022687
求助须知:如何正确求助?哪些是违规求助? 7643648
关于积分的说明 16170053
捐赠科研通 5171053
什么是DOI,文献DOI怎么找? 2766930
邀请新用户注册赠送积分活动 1750306
关于科研通互助平台的介绍 1636954