Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA144149 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR315591.fastq.gz | Fastqsanger.gz | |||
| SRR315592.fastq.gz | Fastqsanger.gz | |||
| SRR315593.fastq.gz | Fastqsanger.gz | |||
| SRR315594.fastq.gz | Fastqsanger.gz | |||
| SRR315595.fastq.gz | Fastqsanger.gz |
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Project description:The ability to sequence genomes has far outstripped approaches for deciphering the information they encode. Here we present a suite of techniques, based on ribosome profiling (the deep-sequencing of ribosome-protected mRNA fragments), to provide genome-wide maps of protein synthesis as well as a pulse-chase strategy for determining rates of translation elongation. We exploit the propensity of harringtonine to cause ribosomes to accumulate at sites of translation initiation together with a machine learning algorithm to define protein products systematically. Analysis of translation in mouse embryonic stem cells reveals thousands of strong pause sites and novel translation products. These include amino-terminal extensions and truncations and upstream open reading frames with regulatory potential, initiated at both AUG and non-AUG codons, whose translation changes after differentiation. We also define a new class of short, polycistronic ribosome-associated coding RNAs (sprcRNAs) that encode small proteins. Our studies reveal an unanticipated complexity to mammalian proteomes.
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