Profiling and Characterization of microRNAs Responding to Sodium Butyrate Treatment in Gastric Cancer Cells

丁酸钠 小RNA 丁酸盐 癌症研究 细胞凋亡 小桶 癌症 生物 化学 分子生物学 癌细胞 计算生物学 细胞生物学 生物化学 细胞 基因 基因表达 转录组 遗传学 发酵
作者
Dewei Zhang,Gongping Sun,He Duan,Jin Meng
出处
期刊:Combinatorial Chemistry & High Throughput Screening [Bentham Science]
卷期号:25 (11): 1875-1888 被引量:4
标识
DOI:10.2174/1386207325666211027154207
摘要

Short-chain fatty acids exert anti-cancer effects on tumor cells.We aimed to reveal the signaling network altered by butyrate in Gastric Cancer (GC) using small RNA sequencing (sRNA-seq).The effects of butyrate on the biological behavior of NCI-N87 and KATO III cells in vitro were assessed by functional assays and half-maximal inhibitory concentrations (IC50) of butyrate in KATO III cells were calculated. sRNA-seq was performed on KATO III cells. Differentially expressed miRNAs (DE-miRNAs) were identified between butyrate treatment and control groups using DESeq2, and miRNA targets were predicted. A protein-protein interaction (PPI) network of DE-miRNA targets was created using Metascape. Key MCODE complexes were identified using the MCODE algorithm and cluster Profiler. The relationship between DE-miRNA and GC overall survival (OS) was evaluated using Kaplan-Meier curves.Butyrate dose-dependently inhibited NCI-N87 and KATO III cell viability. KATO III cells were more sensitive to butyrate than NCI-N87 cells. Butyrate promoted apoptosis and inhibited KATO III cell migration. Total 324 DE-miRNAs were identified in KATO III cells, and 459 mRNAs were predicted as targets of 83 DE-miRNAs. Two key protein complexes were identified in a PPI network of the 459 targets. A key signaling network responding to butyrate was generated using targets in these key complexes and their miRNA regulators. The DE-miRNAs in the key signaling network were related to the OS of GC.Butyrate altered the biological behavior of GC cells, which may be achieved by regulating miRNAs and related oncogenic pathways.
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
学术大白完成签到 ,获得积分10
2秒前
2秒前
SYT完成签到,获得积分10
3秒前
4秒前
6秒前
6秒前
6秒前
7秒前
7秒前
魏伯安发布了新的文献求助10
7秒前
7秒前
zhouleiwang完成签到,获得积分10
8秒前
李爱国应助aiming采纳,获得10
9秒前
无奈傲菡完成签到,获得积分10
10秒前
TT发布了新的文献求助10
10秒前
啦啦啦发布了新的文献求助10
11秒前
sun发布了新的文献求助10
12秒前
荣荣完成签到,获得积分10
12秒前
13秒前
小安完成签到,获得积分10
14秒前
Spencer完成签到 ,获得积分10
14秒前
PengHu完成签到,获得积分10
15秒前
15秒前
17秒前
19秒前
19秒前
19秒前
ywang发布了新的文献求助10
20秒前
失眠虔纹完成签到,获得积分10
20秒前
斯文败类应助nextconnie采纳,获得10
20秒前
药学牛马发布了新的文献求助10
24秒前
24秒前
25秒前
28秒前
张无缺完成签到,获得积分10
31秒前
33秒前
CodeCraft应助MES采纳,获得10
34秒前
笨笨乘风完成签到,获得积分10
35秒前
田様应助axunQAQ采纳,获得10
37秒前
完美秋烟发布了新的文献求助10
37秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527998
求助须知:如何正确求助?哪些是违规求助? 3108225
关于积分的说明 9288086
捐赠科研通 2805889
什么是DOI,文献DOI怎么找? 1540195
邀请新用户注册赠送积分活动 716950
科研通“疑难数据库(出版商)”最低求助积分说明 709849