工作流程
核糖体分析
计算机科学
RNA序列
计算生物学
核糖体
仿形(计算机编程)
核糖核酸
机制(生物学)
追踪
生物
转录组
基因
基因表达
遗传学
数据库
认识论
操作系统
哲学
作者
Atefeh Bagheri,A. A. Astaf’ev,Tara Al-Hashimy,Peng Jiang
出处
期刊:Cells
[MDPI AG]
日期:2022-09-23
卷期号:11 (19): 2966-2966
被引量:8
标识
DOI:10.3390/cells11192966
摘要
RNA-seq has been widely used as a high-throughput method to characterize transcript dynamic changes in a broad context, such as development and diseases. However, whether RNA-seq-estimated transcriptional dynamics can be translated into protein level changes is largely unknown. Ribo-seq (Ribosome profiling) is an emerging technology that allows for the investigation of the translational footprint via profiling ribosome-bounded mRNA fragments. Ribo-seq coupled with RNA-seq will allow us to understand the transcriptional and translational control of the fundamental biological process and human diseases. This review focuses on discussing the principle, workflow, and applications of Ribo-seq to study human diseases.
科研通智能强力驱动
Strongly Powered by AbleSci AI