清晨好,您是今天最早来到科研通的研友!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,伴您科研之路漫漫前行!

Colon cancer transcriptome

转录组 生物 计算生物学 结直肠癌 癌症 长非编码RNA 生物信息学 核糖核酸 遗传学 基因 基因表达
作者
Khatere Mokhtari,Maryam Peymani,Mohsen Rashidi,Kiavash Hushmandi,Kamran Ghaedi,Afshin Taheriazam,Mehrdad Hashemi
出处
期刊:Progress in Biophysics & Molecular Biology [Elsevier BV]
卷期号:180-181: 49-82 被引量:16
标识
DOI:10.1016/j.pbiomolbio.2023.04.002
摘要

Over the last four decades, methodological innovations have continuously changed transcriptome profiling. It is now feasible to sequence and quantify the transcriptional outputs of individual cells or thousands of samples using RNA sequencing (RNA-seq). These transcriptomes serve as a connection between cellular behaviors and their underlying molecular mechanisms, such as mutations. This relationship, in the context of cancer, provides a chance to unravel tumor complexity and heterogeneity and uncover novel biomarkers or treatment options. Since colon cancer is one of the most frequent malignancies, its prognosis and diagnosis seem to be critical. The transcriptome technology is developing for an earlier and more accurate diagnosis of cancer which can provide better protectivity and prognostic utility to medical teams and patients. A transcriptome is a whole set of expressed coding and non-coding RNAs in an individual or cell population. The cancer transcriptome includes RNA-based changes. The combined genome and transcriptome of a patient may provide a comprehensive picture of their cancer, and this information is beginning to affect treatment decision-making in real-time. A full assessment of the transcriptome of colon (colorectal) cancer has been assessed in this review paper based on risk factors such as age, obesity, gender, alcohol use, race, and also different stages of cancer, as well as non-coding RNAs like circRNAs, miRNAs, lncRNAs, and siRNAs. Similarly, they have been examined independently in the transcriptome study of colon cancer.
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
科研通AI2S应助科研通管家采纳,获得10
3秒前
CC完成签到,获得积分10
14秒前
Vincent完成签到 ,获得积分10
22秒前
29秒前
33秒前
充电宝应助阔达乐荷采纳,获得10
44秒前
英俊的铭应助粗心的黑猫采纳,获得10
48秒前
Ttimer完成签到,获得积分10
53秒前
YZY完成签到 ,获得积分10
1分钟前
1分钟前
阔达乐荷发布了新的文献求助10
1分钟前
Qi完成签到 ,获得积分10
1分钟前
阔达乐荷完成签到,获得积分10
1分钟前
daisygogogo发布了新的文献求助10
1分钟前
激动的似狮完成签到,获得积分0
1分钟前
2分钟前
molihuakai应助科研通管家采纳,获得10
2分钟前
Jasper应助科研通管家采纳,获得10
2分钟前
2分钟前
充电宝应助科研通管家采纳,获得10
2分钟前
CodeCraft应助科研通管家采纳,获得10
2分钟前
桐桐应助科研通管家采纳,获得10
2分钟前
华仔应助科研通管家采纳,获得10
2分钟前
传奇3应助科研通管家采纳,获得10
2分钟前
桐桐应助科研通管家采纳,获得10
2分钟前
Hello应助科研通管家采纳,获得10
2分钟前
2分钟前
小蘑菇应助科研通管家采纳,获得10
2分钟前
天天快乐应助科研通管家采纳,获得10
2分钟前
JamesPei应助科研通管家采纳,获得10
2分钟前
FashionBoy应助科研通管家采纳,获得30
2分钟前
molihuakai应助科研通管家采纳,获得10
2分钟前
共享精神应助科研通管家采纳,获得10
2分钟前
Lucas应助科研通管家采纳,获得10
2分钟前
2分钟前
JamesPei应助科研通管家采纳,获得10
2分钟前
orixero应助科研通管家采纳,获得10
2分钟前
Owen应助科研通管家采纳,获得30
2分钟前
我是老大应助科研通管家采纳,获得10
2分钟前
乐乐应助科研通管家采纳,获得10
2分钟前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6473434
求助须知:如何正确求助?哪些是违规求助? 8276674
关于积分的说明 17646876
捐赠科研通 5553365
什么是DOI,文献DOI怎么找? 2909780
邀请新用户注册赠送积分活动 1886559
关于科研通互助平台的介绍 1738550