Bump-finder: identification of causal codons to the stalling of ribosomes
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ABSTRACT: Stalling of the ribosomes on the mRNA has been linked to myriad of molecular and biological functions. While a multitude of algorithms predict codon-usage in ribosome profiling data, no tool exists to predict the context-specific stalling of ribosomes on transcripts. Combining these two features can reveal unprecedented insights in the ribosomal function and their usage across cells and conditions. To overcome this lack of tools to comprehensively analyze these features, we created Bumpfinder, a web-server, that provides comprehensive analytical details on differences in total ribosome occupancy on transcripts, ribosomal occupancy across codons, ribosome-stalling and the underlying causal amino-acids/codons, as well as collisions. Employing Bumpfinder on generated and publicly available ribosome-profiling datasets, we studied the response of various cell types to amino-acid starvation conditions. We observed interesting patterns in response to the biological effects, suggesting the impact of quality control mechanisms of protein synthesis. Complimentary analysis of collided ribosomes demonstrated phased ribosome stalling on the identified sites. Thus, by deciphering context-specific ribosome distribution, Bumpfinder provides unprecedented molecular insights in the ribosome function and mRNA translation during stress response conditions.
ORGANISM(S): Homo sapiens
PROVIDER: GSE156443 | GEO | 2023/12/31
REPOSITORIES: GEO
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