Lang Benjamin J, Holton Kristina M, Gong Jianlin, Calderwood Stuart K
Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA, 02215, USA.
Research Computing, Harvard Medical School, Boston, MA, USA.
Methods Mol Biol. 2018;1709:233-252. doi: 10.1007/978-1-4939-7477-1_18.
RNA sequencing (RNA-seq) is a powerful method of transcript analysis that allows for the sequence identification and quantification of cellular transcripts. RNA-seq has many applications including differential gene expression (DE) analysis, gene fusion detection, allele-specific expression, isoform and splice variant quantification, and identification of novel genes. These applications can be used for downstream systems biology analyses such as gene ontology analysis to provide insights into cellular processes altered between biological conditions. Given the wide range of signaling pathways subject to chaperone activity as well as numerous chaperone functions in RNA metabolism, RNA-seq may provide a valuable tool for the study of chaperone proteins in biology and disease. This chapter outlines an example RNA-seq workflow to determine differentially expressed (DE) genes between two or more sample conditions and provides some considerations for RNA-seq experimental design.
RNA测序(RNA-seq)是一种强大的转录本分析方法,可实现细胞转录本的序列鉴定和定量分析。RNA测序有许多应用,包括差异基因表达(DE)分析、基因融合检测、等位基因特异性表达、异构体和剪接变体定量以及新基因鉴定。这些应用可用于下游系统生物学分析,如基因本体分析,以深入了解生物条件之间改变的细胞过程。鉴于伴侣蛋白活性涉及广泛的信号通路以及RNA代谢中的众多伴侣蛋白功能,RNA测序可能为生物学和疾病中伴侣蛋白的研究提供有价值的工具。本章概述了一个示例RNA测序工作流程,用于确定两个或更多样本条件之间的差异表达(DE)基因,并提供了一些RNA测序实验设计的注意事项。