Screening and identification of CNIH4 gene associated with cell proliferation in gastric cancer based on a large-scale CRISPR-Cas9 screening database DepMap

生物 候选基因 癌症 细胞周期 癌症研究 基因 癌细胞 计算生物学 遗传学
作者
Hui Zhang,Yidan Lin,Minxue Zhuang,Lin Zhu,Yongmei Dai,Mengbo Lin
出处
期刊:Gene [Elsevier BV]
卷期号:850: 146961-146961 被引量:19
标识
DOI:10.1016/j.gene.2022.146961
摘要

Gastric cancer is a common malignant tumor of digestive tract. The study aimed to identify candidate genes associated with the proliferation and survival of gastric cancer cell through CRISPR-cas9 screening data, which may provide new therapeutic targets for gastric cancer patients.Candidate genes related to gastric cancer cell viability by CRISPR-cas9 screening from Depmap and genes differentially expressed between gastric cancer tissues and normal gastric tissues from TCGA were overlapped. WGCNA and KEGG analysis was conducted to performed to identify key pathways and genes. Using CMap, we identified small molecules that might reverse candidate gene expression of gastric cancer. LASSO regression was used to construct a signature to predict overall survival of gastric cancer patients. CCK8 assay was performed to assess the effects of candidate gene on gastric cancer cell proliferation.A total of 710 candidate genes related to gastric cancer cell viability in the DepMap were identified and overlapped with differentially expressed genes in TCGA database, which were enriched in the cell cycle pathway. CMap analysis suggested that molecule drug LY294002 might be a novel choice for gastric cancer treatment. Using Cox univariate analysis and Lasso analysis, we developed a prognostic model including 12 candidate genes, and conducted subgroup analysis and external validation. Moreover, knockdown of the key candidate gene CNIH4 inhibited the proliferation of gastric cancer cells.Cell cycle pathway and CNIH4, identified by CRISPR-cas9 screening, were a key pathway and gene that regulate cell viability in gastric cancer. CNIH4 has significant prognostic values and can serve as a new target for gastric cancer patient treatment.
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
淡淡依白完成签到 ,获得积分10
6秒前
王平安完成签到 ,获得积分10
6秒前
王波完成签到 ,获得积分10
10秒前
SSY完成签到 ,获得积分10
12秒前
靓丽的采白完成签到,获得积分10
15秒前
yuyu877完成签到 ,获得积分10
16秒前
笔墨纸砚完成签到 ,获得积分10
19秒前
charleslam完成签到,获得积分10
20秒前
wueeee应助awa606采纳,获得200
21秒前
露西雅完成签到,获得积分10
24秒前
30秒前
tutu发布了新的文献求助10
30秒前
天天向上完成签到 ,获得积分10
35秒前
赤羽完成签到 ,获得积分10
39秒前
元气弹发布了新的文献求助10
39秒前
刘婉敏完成签到 ,获得积分10
42秒前
Lemenchichi完成签到,获得积分10
51秒前
xue112完成签到 ,获得积分10
52秒前
JamesPei应助元气弹采纳,获得20
55秒前
老实的电源完成签到,获得积分10
59秒前
1分钟前
shirley发布了新的文献求助10
1分钟前
热带蚂蚁完成签到 ,获得积分0
1分钟前
大一京城完成签到 ,获得积分10
1分钟前
Hello应助阿尔法贝塔采纳,获得10
1分钟前
元气弹完成签到,获得积分10
1分钟前
ys发布了新的文献求助30
1分钟前
腼腆的赛君完成签到,获得积分10
1分钟前
冰刀完成签到,获得积分10
1分钟前
1分钟前
欣慰的雨旋完成签到 ,获得积分10
1分钟前
传统的衬衫完成签到 ,获得积分10
1分钟前
YBR完成签到 ,获得积分10
1分钟前
蓝色完成签到,获得积分10
1分钟前
坚强素完成签到 ,获得积分10
1分钟前
1分钟前
飞矢不动完成签到,获得积分10
1分钟前
自由沂完成签到 ,获得积分10
1分钟前
Connie425完成签到 ,获得积分10
1分钟前
木卫二完成签到 ,获得积分10
1分钟前
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
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7282370
求助须知:如何正确求助?哪些是违规求助? 8903165
关于积分的说明 18833858
捐赠科研通 6953259
什么是DOI,文献DOI怎么找? 3207556
关于科研通互助平台的介绍 2377841
邀请新用户注册赠送积分活动 2182729