Survey of miRNA-miRNA cooperative regulation principles across cancer types

小RNA 生物 计算生物学 癌症 癌变 基因表达调控 基因调控网络 生物信息学 遗传学 基因 基因表达
作者
Tingting Shao,Guangjuan Wang,Hong Chen,Yunjin Xie,Xiyun Jin,Jing Bai,Juan Xu,Xia Li,Jian Huang,Yan Jin,Yongsheng Li
出处
期刊:Briefings in Bioinformatics [Oxford University Press]
卷期号:20 (5): 1621-1638 被引量:37
标识
DOI:10.1093/bib/bby038
摘要

Cooperative regulation among multiple microRNAs (miRNAs) is a complex type of posttranscriptional regulation in human; however, the global view of the system-level regulatory principles across cancers is still unclear. Here, we investigated miRNA-miRNA cooperative regulatory landscape across 18 cancer types and summarized the regulatory principles of miRNAs. The miRNA-miRNA cooperative pan-cancer network exhibited a scale-free and modular architecture. Cancer types with similar tissue origins had high similarity in cooperative network structure and expression of cooperative miRNA pairs. In addition, cooperative miRNAs showed divergent properties, including higher expression, greater expression variation and a stronger regulatory strength towards targets and were likely to regulate cancer hallmark-related functions. We found a marked rewiring of miRNA-miRNA cooperation between various cancers and revealed conserved and rewired network miRNA hubs. We further identified the common hubs, cancer-specific hubs and other hubs, which tend to target known anticancer drug targets. Finally, miRNA cooperative modules were found to be associated with patient survival in several cancer types. Our study highlights the potential of pan-cancer miRNA-miRNA cooperative regulation as a novel paradigm that may aid in the discovery of tumorigenesis mechanisms and development of anticancer drugs.
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
刚刚
满意蚂蚁完成签到,获得积分10
刚刚
刚刚
刚刚
刚刚
打打应助姚魏南采纳,获得10
1秒前
竹筏过海发布了新的文献求助100
1秒前
纳斯达克应助Emily采纳,获得10
1秒前
1秒前
李时云发布了新的文献求助10
1秒前
1秒前
星辰大海应助邢龙采纳,获得10
1秒前
3秒前
3秒前
林儿完成签到,获得积分20
3秒前
霸气大娘发布了新的文献求助10
3秒前
bkagyin应助shadowdt采纳,获得10
3秒前
4秒前
zz发布了新的文献求助10
4秒前
4秒前
Ava应助和谐芝麻采纳,获得10
5秒前
5秒前
5秒前
Sowoozoo完成签到 ,获得积分10
6秒前
6秒前
WEAWEA应助hufan2441采纳,获得10
6秒前
6秒前
zhan发布了新的文献求助10
7秒前
7秒前
cnulee发布了新的文献求助10
8秒前
8秒前
8秒前
QQA发布了新的文献求助10
8秒前
8秒前
9秒前
9秒前
林想完成签到 ,获得积分10
10秒前
华仔应助勤恳的灵雁采纳,获得10
10秒前
怕孤独的忆南完成签到,获得积分10
10秒前
李健应助落雪慕卿颜采纳,获得10
10秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7250439
求助须知:如何正确求助?哪些是违规求助? 8873071
关于积分的说明 18726954
捐赠科研通 6930021
什么是DOI,文献DOI怎么找? 3199057
关于科研通互助平台的介绍 2374210
邀请新用户注册赠送积分活动 2173764