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Deep learning to decode sites of RNA translation in normal and cancerous tissues.

Authors :
Clauwaert J
McVey Z
Gupta R
Yannuzzi I
Menschaert G
Prensner JR
Source :
BioRxiv : the preprint server for biology [bioRxiv] 2024 Mar 25. Date of Electronic Publication: 2024 Mar 25.
Publication Year :
2024

Abstract

The biological process of RNA translation is fundamental to cellular life and has wide-ranging implications for human disease. Yet, accurately delineating the variation in RNA translation represents a significant challenge. Here, we develop RiboTIE, a transformer model-based approach to map global RNA translation. We find that RiboTIE offers unparalleled precision and sensitivity for ribosome profiling data. Application of RiboTIE to normal brain and medulloblastoma cancer samples enables high-resolution insights into disease regulation of RNA translation.<br />Competing Interests: Declaraon of Interests G.M. is an employee of OHMX Bio. Z.M. and R.G. are employees of Novo Nordisk Ltd. J.R.P. reports receiving honoraria from Novartis Biosciences.

Details

Language :
English
Database :
MEDLINE
Journal :
BioRxiv : the preprint server for biology
Accession number :
38585907
Full Text :
https://doi.org/10.1101/2024.03.21.586110