Courtney Sean M, da Silveira Willian A, Hazard E Starr, Hardiman Gary
MUSC Bioinformatics, Center for Genomics Medicine, Medical University of South Carolina (MUSC), Charleston, SC, USA.
Institute for Global Food Security, Queens University Belfast, Belfast, UK.
Methods Mol Biol. 2019;1908:169-184. doi: 10.1007/978-1-4939-9004-7_12.
RNA sequencing (RNA-seq) is revolutionizing the study of cancer by providing a highly sensitive and robust tool to interrogate the transcriptome. It leverages the power of deep sequencing technology and provides global and multidimensional views of transcriptional landscapes in healthy and tumor tissues. Such information is contributing innovative insights to our understanding of the genetic basis of cancer and the progression of the disease. RNA-seq is a superior technology to DNA microarrays in that it provides digital rather than analog information on transcripts and their isoforms. The front end (sequencing library preparation and validation) is technically complex and time intensive. The primary objective in preparing a sequencing library is to eliminate or minimize bias, so that the library is reflective of the input RNA sample in terms of both sequence content and transcript abundance. This chapter describes the RNA-seq approach, and reviews methods and good practices for library preparation and sequencing.
RNA测序(RNA-seq)正在彻底改变癌症研究,它提供了一种高度灵敏且强大的工具来研究转录组。它利用深度测序技术的强大功能,提供了健康组织和肿瘤组织中转录图谱的全局和多维度视图。这些信息为我们理解癌症的遗传基础和疾病进展提供了创新性见解。RNA-seq是一种优于DNA微阵列的技术,因为它提供了关于转录本及其异构体的数字而非模拟信息。前端(测序文库制备和验证)技术复杂且耗时。制备测序文库的主要目标是消除或最小化偏差,以便文库在序列内容和转录本丰度方面都能反映输入的RNA样本。本章描述了RNA-seq方法,并综述了文库制备和测序的方法及良好实践。