Hrdlickova Radmila, Toloue Masoud, Tian Bin
Bioo Scientific Inc., Austin, TX, USA.
Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers New Jersey Medical School, Newark, NJ, USA.
Wiley Interdiscip Rev RNA. 2017 Jan;8(1). doi: 10.1002/wrna.1364. Epub 2016 May 19.
Deep sequencing has been revolutionizing biology and medicine in recent years, providing single base-level precision for our understanding of nucleic acid sequences in high throughput fashion. Sequencing of RNA, or RNA-Seq, is now a common method to analyze gene expression and to uncover novel RNA species. Aspects of RNA biogenesis and metabolism can be interrogated with specialized methods for cDNA library preparation. In this study, we review current RNA-Seq methods for general analysis of gene expression and several specific applications, including isoform and gene fusion detection, digital gene expression profiling, targeted sequencing and single-cell analysis. In addition, we discuss approaches to examine aspects of RNA in the cell, technical challenges of existing RNA-Seq methods, and future directions. WIREs RNA 2017, 8:e1364. doi: 10.1002/wrna.1364 For further resources related to this article, please visit the WIREs website.
近年来，深度测序给生物学和医学带来了变革，它以高通量的方式为我们理解核酸序列提供单碱基水平的精度。RNA测序（RNA-Seq）如今是分析基因表达和发现新型RNA种类的常用方法。RNA生物合成和代谢的各个方面可以通过用于cDNA文库制备的专门方法进行探究。在本研究中，我们综述了当前用于基因表达一般分析的RNA-Seq方法以及几种特定应用，包括异构体和基因融合检测、数字基因表达谱分析、靶向测序和单细胞分析。此外，我们讨论了研究细胞中RNA各方面的方法、现有RNA-Seq方法的技术挑战以及未来方向。WIREs RNA 2017年，8:e1364。doi:10.1002/wrna.1364 有关本文的更多资源，请访问WIREs网站。
