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!

Analysis and identification of ferroptosis-related genes in ulcerative colitis

基因 计算生物学 基因共表达网络 生物 基因表达 遗传学 基因本体论
作者
Chen Chen,Bo Lan,Xie Guang-hong,Zhaoyang Liu
出处
期刊:Scandinavian Journal of Gastroenterology [Taylor & Francis]
卷期号:58 (12): 1422-1433 被引量:5
标识
DOI:10.1080/00365521.2023.2240927
摘要

Previous studies have shown that ferroptosis is associated with the pathogenesis of ulcerative colitis (UC). Therefore, this study aimed to identify key ferroptosis-related genes (FRGs) associated with the diagnosis of UC. UC-related expression datasets were downloaded from the Gene Expression Omnibus (GEO) database. First, Weighted Gene Co-expression Network Analysis (WGCNA) was used to identify UC-related genes (UCRGs). Differentially expressed genes (DEGs) between normal and UC groups were screened in GSE87466, and DEGs were subjected to an intersection analysis with FRGs and UCRGs to obtain ferroptosis-related DEGs (FR DEGs). Then a protein-protein interaction (PPI) network was constructed for FR DEGs. The hub genes were extracted based on the degree, Maximum Neighborhood Component (MNC), closeness, and Maximal Clique Centrality (MCC). Biomarkers with diagnostic values were screened by support vector machine (SVM) and the least absolute shrinkage and selection operator (LASSO) algorithms. Next, the infiltration of immune cells was compared between UC and normal groups, and the correlation between different immune cells and diagnostic genes was analyzed. The biological functions, classical pathways, and intermolecular interaction networks of diagnostic genes were characterized utilizing ingenuity pathway analysis (IPA). Finally, a TF-mRNA network was constructed and potential small-molecule compounds were screened. Thirty-six FR DEGs were obtained, and these were enriched in biological processes such as positive regulation of cytokine production, cytokine-mediated signalling pathway, long-chain fatty acid-CoA ligase activity, etc. Among 18 hub genes, five genes (ALOX5, TIMP1, TNFAIP3, SOCS1, DUOX2) were captured with diagnostic values for UC, and they displayed significant differences between UC and normal groups. Sixteen immune cell infiltrates were significantly different between UC and normal groups, such as activated dendritic cells and resting dendritic cells. TNFAIP3 and ALOX5 were positively correlated with neutrophils, and TIMP1, SOCS1, ALOX5, and DUOX2 were negatively correlated with M2 macrophages. IPA showed that diagnostic genes were related to 43 function modules and activated 17 pathways. The constructed TF-mRNA regulatory network comprised three diagnostic genes and 17 differentially expressed TFs. Potential small-molecule compounds including helveticoside and cymarin were identified. Our findings yielded several promising FRGs for UC, providing a scientific reference for further studies on the pathogenesis of UC.
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
领导范儿的应助被lilac采纳,获得10
刚刚
迷路的城完成签到,获得积分10
1秒前
星辰大海的应助被xc采纳,获得10
1秒前
123完成签到,获得积分10
2秒前
cocohan的应助被suodeheng采纳,获得38
2秒前
6秒前
打打的应助被友好凝荷采纳,获得10
6秒前
桩桩完成签到,获得积分20
7秒前
眼睛大的代秋完成签到,获得积分10
9秒前
9秒前
10秒前
TomHu完成签到,获得积分10
10秒前
刻苦长颈鹿完成签到,获得积分10
11秒前
Rita发布了新的文献求助10
11秒前
大个的应助被wyn200252采纳,获得200
12秒前
lucky发布了新的文献求助10
12秒前
12秒前
wang完成签到,获得积分10
13秒前
斯文败类的应助被lilac采纳,获得10
14秒前
Callan发布了新的文献求助20
14秒前
xixixi发布了新的文献求助10
14秒前
15秒前
NY完成签到,获得积分10
16秒前
16秒前
yyy发布了新的文献求助10
17秒前
小米完成签到,获得积分10
18秒前
友好凝荷发布了新的文献求助10
18秒前
zyb完成签到 ,获得积分10
19秒前
19秒前
20秒前
梁梁完成签到 ,获得积分10
20秒前
21秒前
饱满书雁的应助被忧郁火鸡面采纳,获得10
22秒前
23秒前
上官若男的应助被自由念烟采纳,获得10
23秒前
丘比特的应助被学术bug采纳,获得10
25秒前
25秒前
tuihuo发布了新的文献求助10
25秒前
specium发布了新的文献求助10
26秒前
万一窗外有朵花完成签到,获得积分10
27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
Campbell's Operative Orthopaedics, E-Book 3000
Les Mantodea De Guyane 2000
Energie-Contracting 1500
内視鏡下経鼻経蝶形骨洞手術術後SIADHに対する予防的水制限の安全性と有効性の検討 1000
Positive Psychology 600
Guidelines for fracture-safe and fatigue-reliable design of steel structures 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 8012430
求助须知:如何正确求助?哪些是违规求助? 9460123
关于积分的说明 21181149
捐赠科研通 7583496
什么是DOI,文献DOI怎么找? 3383966
关于科研通互助平台的介绍 2516196
邀请新用户注册赠送积分活动 2419180