ONGene: A literature-based database for human oncogenes

生物 拷贝数变化 计算生物学 长非编码RNA 基因 基因表达 个性化医疗 人类基因组 人类遗传学 基因组 遗传学 生物信息学 核糖核酸
作者
Yining Liu,Jingchun Sun,Min Zhao
出处
期刊:Journal of Genetics and Genomics [Elsevier BV]
卷期号:44 (2): 119-121 被引量:255
标识
DOI:10.1016/j.jgg.2016.12.004
摘要

Screening cancer genomes has provided an in-depth characterization of genetic variants such as copy number variations (CNVs) and gene expression changes of non-coding transcripts. Single-dimensional experiments are often designed to differentiate a patient cohort into various sets with the aim of identifying molecular changes among groups; however, this may be inadequate to decipher the causal relationship between molecular signatures in individual patients. To overcome this challenge with respect to personalized medicine, we implemented a patient-specific multi-dimensional integrative approach to uncover coherent signals from multiple independent platforms. In particular, we focused on the consistent gene dosage effects of CNVs for both mRNA and long non-coding RNA (lncRNA) expression in nine colorectal cancer patients. We identified 511 CNV-lncRNA-mRNA regulatory triplets associated with CNVs and aberrant expression of both mRNAs and lncRNAs. By filtering out inconsistent changes among CNVs, mRNAs, and lncRNAs, we further characterized 165 coherent motifs associated with 56 genes. In total, 108 motifs were linked with 31 copy number gains, 44 upregulated lncRNAs, and 45 upregulated mRNAs. Another 57 coherent downregulated motifs were also collected. We discuss how for many of these CNV-lncRNA-mRNA regulatory triplets, their clinical impact remains to be explored, including survival time, microsatellite instability, tumor stage, and primary tumor sites. By validating two example CNV-lncRNA-mRNA triplets with up- and down-regulation, we confirmed that individual variations in multiple dimensions are a robust tool to identify reliable molecular signals for personalized medicine. In summary, we utilized a patient-specific computational pipeline to explore the consistent CNV-driven motifs consisting of lncRNAs and mRNAs. We also identified LSM14B as a potential promoter in colorectal cancer progression, suggesting that it may serve as a target for colorectal cancer treatment.

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
1秒前
Heng发布了新的文献求助20
1秒前
2秒前
2秒前
追寻灵寒完成签到 ,获得积分10
3秒前
3秒前
Ma完成签到,获得积分10
3秒前
天天快乐应助韩梓宸采纳,获得10
4秒前
小飞123应助叶渐渐采纳,获得10
4秒前
4秒前
52251013106发布了新的文献求助10
6秒前
研友_RLNzvL完成签到,获得积分10
6秒前
6秒前
qingxuan完成签到,获得积分10
7秒前
7秒前
LLP发布了新的文献求助20
7秒前
渭阳野士完成签到,获得积分10
7秒前
木子完成签到,获得积分10
7秒前
完美世界应助沉默采纳,获得10
8秒前
徐华发布了新的文献求助10
8秒前
我是老大应助自由的飞薇采纳,获得10
9秒前
安琦完成签到,获得积分10
9秒前
思源应助cz采纳,获得10
10秒前
小马甲应助完美的背包采纳,获得10
10秒前
Yh发布了新的文献求助10
11秒前
11秒前
冷傲初夏完成签到,获得积分10
12秒前
杨怡红完成签到,获得积分20
12秒前
13秒前
安琦发布了新的文献求助10
15秒前
紫色琉璃脆脆鲨完成签到,获得积分10
16秒前
CodeCraft应助gmy采纳,获得10
17秒前
19秒前
弧线完成签到,获得积分10
19秒前
爆米花应助外向的如柏采纳,获得10
20秒前
领导范儿应助科研通管家采纳,获得10
21秒前
21秒前
21秒前
21秒前
21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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6370293
求助须知:如何正确求助?哪些是违规求助? 8184235
关于积分的说明 17266401
捐赠科研通 5424858
什么是DOI,文献DOI怎么找? 2870073
邀请新用户注册赠送积分活动 1847049
关于科研通互助平台的介绍 1693826