已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Co‑expression network analysis identified specific miRNAs and genes in association with slow‑transit constipation

小RNA 癌基因 基因 分子医学 细胞周期 生物 遗传学 计算生物学 生物信息学
作者
Chaoran Yu,Lu Zang,Bo Feng,Luyang Zhang,Peng Xue,Jing Sun,Feng Dong,Junjun Ma,Minhua Zheng
出处
期刊:Molecular Medicine Reports [Spandidos Publications]
卷期号:22 (6): 4696-4706 被引量:7
标识
DOI:10.3892/mmr.2020.11568
摘要

The pathogenesis of slow‑transit constipation (STC) remains largely unclear, with the roles of microRNAs (miRs/miRNAs) yet to be determined. Co‑expression network analysis of miRNAs in STC is crucial to elucidating potential underlying mechanisms. Weighted gene correlation network analysis was performed in the miRNA expression profile of STC (GSE57969). The key miRNA target genes were further functionally enriched by Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO). A Protein‑Protein Interaction (PPI) network was constructed, with a total of 12 color‑clustered modules determined. Seven key miRNAs were established, including five miRNAs from the turquoise module (hsa‑miR‑20b, hsa‑miR‑128, hsa‑miR‑129‑3p, hsa‑miR‑30b and hsa‑miR‑340), one miRNA from the blue module (hsa‑miR‑619) and one from the black module (hsa‑miR‑486‑3p). A total of 2,077 key miRNA target genes were predicted. GO analysis revealed that the 'protein modification process' and 'cellular protein modification process' were the most significantly enriched processes in the 'Biological Processes' category, whereas the 'nucleoplasm' in 'Cellular Components' and 'enzyme binding' in 'Molecular Functions' were the most significantly enriched processes. The 'cAMP signalling pathway' was the top KEGG pathway. The hub genes identified from the PPI network included calmodulin (CALM)2, CALM1, histone deacetylase (HDAC)3, glycogen synthase kinase 3 β, HDAC9, heat‑shock protein family A member 8, G‑protein subunit γ (GNG)13, HECT domain and ankyrin repeat containing E3 ubiquitin protein ligase 1, GNG10 and GNG7. This bioinformatics analysis demonstrated co‑expressed miRNA networks with insightful genes and pathways associated with STC.

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
弄香完成签到,获得积分10
刚刚
莫非完成签到,获得积分10
1秒前
兰康康完成签到,获得积分10
4秒前
susui发布了新的文献求助10
5秒前
6秒前
干净的琦应助Anderson采纳,获得10
7秒前
艺_完成签到 ,获得积分10
12秒前
14秒前
14秒前
科研通AI6.3应助李思仪采纳,获得10
15秒前
像个间谍完成签到 ,获得积分10
16秒前
放逐完成签到,获得积分10
16秒前
懵懂的随阴完成签到,获得积分10
17秒前
夏同学完成签到 ,获得积分10
18秒前
希望天下0贩的0应助叶子采纳,获得10
19秒前
宇宙无敌大火龙应助loyal采纳,获得10
19秒前
KINDMAGIC发布了新的文献求助10
19秒前
20秒前
21秒前
白白不读书完成签到,获得积分10
23秒前
24秒前
26秒前
27秒前
28秒前
28秒前
CipherSage应助微笑二娘采纳,获得10
29秒前
倪欣然完成签到 ,获得积分10
29秒前
GQ完成签到,获得积分10
29秒前
31秒前
LYQ发布了新的文献求助10
32秒前
科目三应助nail采纳,获得10
33秒前
33秒前
汉堡包应助KINDMAGIC采纳,获得10
34秒前
梁梁完成签到 ,获得积分10
34秒前
clearsky完成签到,获得积分10
34秒前
为医消得人憔悴完成签到,获得积分10
34秒前
李思仪发布了新的文献求助10
35秒前
35秒前
35秒前
叶子发布了新的文献求助10
35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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Wearable Exoskeleton Systems, 2nd Edition 500
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 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6057998
求助须知:如何正确求助?哪些是违规求助? 7890744
关于积分的说明 16296229
捐赠科研通 5203153
什么是DOI,文献DOI怎么找? 2783771
邀请新用户注册赠送积分活动 1766438
关于科研通互助平台的介绍 1647036