核糖体分析
深度测序
核糖体
生物
计算生物学
翻译(生物学)
核糖核酸
核酸酶
信使核糖核酸
遗传学
基因组
基因
作者
Nicholas T. Ingolia,Gloria A. Brar,Silvi Rouskin,Anna McGeachy,Jonathan S. Weissman
出处
期刊:Nature Protocols
[Nature Portfolio]
日期:2012-07-26
卷期号:7 (8): 1534-1550
被引量:1237
标识
DOI:10.1038/nprot.2012.086
摘要
Recent studies highlight the importance of translational control in determining protein abundance, underscoring the value of measuring gene expression at the level of translation. We present a protocol for genome-wide, quantitative analysis of in vivo translation by deep sequencing. This ribosome profiling approach maps the exact positions of ribosomes on transcripts by nuclease footprinting. The nuclease-protected mRNA fragments are converted into a DNA library suitable for deep sequencing using a strategy that minimizes bias. The abundance of different footprint fragments in deep sequencing data reports on the amount of translation of a gene. In addition, footprints reveal the exact regions of the transcriptome that are translated. To better define translated reading frames, we describe an adaptation that reveals the sites of translation initiation by pretreating cells with harringtonine to immobilize initiating ribosomes. The protocol we describe requires 5-7 days to generate a completed ribosome profiling sequencing library. Sequencing and data analysis require a further 4-5 days.
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