生物
核糖核酸
RNA序列
计算生物学
转录组
RNA剪接
非编码RNA
内含子
核糖开关
核酸结构
RNA诱导的转录沉默
RNA编辑
基因
基因表达
遗传学
作者
Rory Stark,Marta Grzelak,James Hadfield
标识
DOI:10.1038/s41576-019-0150-2
摘要
Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for transcriptome-wide analysis of differential gene expression and differential splicing of mRNAs. However, as next-generation sequencing technologies have developed, so too has RNA-seq. Now, RNA-seq methods are available for studying many different aspects of RNA biology, including single-cell gene expression, translation (the translatome) and RNA structure (the structurome). Exciting new applications are being explored, such as spatial transcriptomics (spatialomics). Together with new long-read and direct RNA-seq technologies and better computational tools for data analysis, innovations in RNA-seq are contributing to a fuller understanding of RNA biology, from questions such as when and where transcription occurs to the folding and intermolecular interactions that govern RNA function.
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