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下一代测序(NGS)在多参数基因表达分析中的应用。

Next Generation Sequencing (NGS) Application in Multiparameter Gene Expression Analysis.

作者信息

Wang Degeng, Karamyshev Andrey L

机构信息

Department of Environmental Toxicology, Texas Tech University, Lubbock, TX, USA.

The Institute of Environmental and Human Health (TIEHH), Texas Tech University, Lubbock, TX, USA.

出版信息

Methods Mol Biol. 2020;2102:17-34. doi: 10.1007/978-1-0716-0223-2_2.

Abstract

Next generation sequencing (NGS) is routinely used in gene expression analyses. In particular, RNA-seq has been the method of choice for highly sensitive genome-wide quantification of RNA expression. The method can be used in a wide variety of model systems, including studies to gain insight into underlying mechanisms of toxicologic processes and disease development induced by environmental toxicants. RNA-seq has also been coupled to many other molecular biology protocols to monitor specific aspects of the gene expression process. Here, we describe two such coupling-(a) global run-on sequencing (GRO-seq) that coupled it to the nuclear run-on (NRO), and (b) polysome profiling that coupled it to sucrose-gradient-based polysome isolation. Simultaneous RNA-seq, GRO-seq, and polysome profiling analyses enabled genome-wide analysis of the mode of stability control of individual RNA molecules.

摘要

下一代测序(NGS)常用于基因表达分析。特别是,RNA测序已成为全基因组范围内高灵敏度定量RNA表达的首选方法。该方法可用于多种模型系统,包括深入了解环境毒物诱导的毒理学过程和疾病发展潜在机制的研究。RNA测序还与许多其他分子生物学方案相结合,以监测基因表达过程的特定方面。在这里,我们描述两种这样的结合——(a)全局连续测序(GRO-seq),它将RNA测序与核连续转录(NRO)相结合;(b)多核糖体谱分析,它将RNA测序与基于蔗糖梯度的多核糖体分离相结合。同时进行RNA测序、GRO-seq和多核糖体谱分析能够对单个RNA分子的稳定性控制模式进行全基因组分析。

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