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!

Identification of downregulated circRNAs from tissue and plasma of patients with gastric cancer and construction of a circRNA‐miRNA‐mRNA network

小RNA 小桶 生物 基因 计算生物学 环状RNA 癌症 生物信息学 基因调控网络 折叠变化 遗传学 基因本体论 基因表达
作者
Jingfu Liu,Zhen Li,Wenhao Teng,Xianren Ye
出处
期刊:Journal of Cellular Biochemistry [Wiley]
卷期号:121 (11): 4590-4600 被引量:21
标识
DOI:10.1002/jcb.29673
摘要

Abstract The connection between circular RNAs (circRNAs) and gastric cancer has been reported widely in recent years. However, previous studies have focused mainly on circRNAs from gastric cancer tissue. The objectives of the present study were to detect dysregulated circRNAs from both tissue and plasma of patients with gastric cancer and to explore their potential roles in the pathogenesis of gastric cancer. Expression profiles of circRNAs were obtained from the Gene Expression Omnibus (GEO) and analyzed using the GEO2R tool to identify differential expressed circRNAs. The significance threshold was set as |log2 (fold change)| > 2 and adjusted P < .05. The microRNA (miRNA) binding sites of the differentially expressed circRNAs were predicted using the Circular RNA Interactome web tool. TargetScan and the miRNet database were used to predict the miRNA target genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were performed using Database for Annotation Visualization and Integrated Discovery. Hub genes were identified and a network was constructed with Cytoscape. The overall survival rates for the selected miRNAs and messenger RNAs were evaluated by Kaplan‐Meier Plotter. A total of three downregulated circRNAs (hsa_circ_0001190, hsa_circ_0036287, and hsa_circ_0048607) were identified in this study. Six miRNAs and eight hub genes met the significance criteria and were selected for further analysis. A circRNA‐miRNA‐hub gene network was constructed based on three circRNAs, six miRNAs, and eight hub genes. Evaluation of overall survival rates for the hub genes showed that low expression levels of GADD45A, PPP1CB, PJA2 , and KLF2 were associated with poor overall survival. This study identified potential novel plasma circRNA biomarkers and provides insights into the underlying mechanisms of gastric cancer pathogenesis.
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
CrystalL发布了新的文献求助10
1秒前
尼i发布了新的文献求助10
3秒前
xglake发布了新的文献求助10
3秒前
SciGPT应助曹帅采纳,获得10
3秒前
4秒前
波酱完成签到,获得积分10
5秒前
传奇3应助迷路向松采纳,获得10
5秒前
Freeasy发布了新的文献求助10
5秒前
6秒前
Michael_Ja完成签到 ,获得积分10
7秒前
Hello应助尼i采纳,获得10
7秒前
明亮尔蓝应助胡cppu采纳,获得10
11秒前
Kao应助XQQDD采纳,获得30
11秒前
12秒前
12秒前
无花果应助溢甜儿采纳,获得10
13秒前
科研通AI6.2应助熙一昂采纳,获得30
14秒前
14秒前
斯文败类应助tangtang采纳,获得30
18秒前
lisa发布了新的文献求助10
18秒前
20秒前
天天快乐应助阔达的老太采纳,获得10
21秒前
自私的猫给自私的猫的求助进行了留言
21秒前
秘密美味乐事完成签到 ,获得积分10
21秒前
独特振家完成签到,获得积分10
22秒前
22秒前
汉堡包应助mayy0408采纳,获得10
22秒前
23秒前
27秒前
清爽冷梅发布了新的文献求助10
27秒前
科研通AI6.3应助五花肉采纳,获得10
28秒前
派大心发布了新的文献求助10
29秒前
LongH2完成签到,获得积分10
29秒前
gy79210发布了新的文献求助10
29秒前
hearz发布了新的文献求助10
33秒前
wang完成签到,获得积分10
36秒前
36秒前
初景发布了新的文献求助10
36秒前
37秒前
Kao应助XQQDD采纳,获得30
37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
Organic Chemistry, 5th Edition 1000
Handbook of Social Psychology and Consumer Behavior 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
日本現代怪異事典 副読本 700
Handbook of Social Identity Research 600
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
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 7375225
求助须知:如何正确求助?哪些是违规求助? 8982914
关于积分的说明 19099643
捐赠科研通 7015999
什么是DOI,文献DOI怎么找? 3225849
关于科研通互助平台的介绍 2389141
邀请新用户注册赠送积分活动 2206491