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Genome-wide annotation and quantitation of translation by ribosome profiling.


ABSTRACT: Recent studies highlight the importance of translational control in determining protein abundance, underscoring the value of measuring gene expression at the level of translation. A protocol for genome-wide, quantitative analysis of in vivo translation by deep sequencing is presented here. 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. Additionally, footprints reveal the exact regions of the transcriptome that are translated. To better define translated reading frames, an adaptation that reveals the sites of translation initiation by pre-treating cells with harringtonine to immobilize initiating ribosomes is described. The protocol described requires 5 to 7 days to generate a completed ribosome profiling sequencing library. Sequencing and data analysis requires an additional 4 to 5 days.

SUBMITTER: Ingolia NT 

PROVIDER: S-EPMC3775365 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature

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Genome-wide annotation and quantitation of translation by ribosome profiling.

Ingolia Nicholas T NT   Brar Gloria A GA   Rouskin Silvia S   McGeachy Anna M AM   Weissman Jonathan S JS  

Current protocols in molecular biology 20130701


Recent studies highlight the importance of translational control in determining protein abundance, underscoring the value of measuring gene expression at the level of translation. A protocol for genome-wide, quantitative analysis of in vivo translation by deep sequencing is presented here. 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 sequenci  ...[more]

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