Improved Ribo-seq enables identification of cryptic translation events

Florian Erhard*, Anne Halenius, Cosima Zimmermann, Anne L'Hernault, Daniel J. Kowalewski, Michael P. Weekes, Stefan Stevanovic, Ralf Zimmer, Lars Dölken

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

156 Scopus citations

Abstract

Ribosome profiling has been used to predict thousands of short open reading frames (sORFs) in eukaryotic cells, but it suffers from substantial levels of noise. PRICE (https://github.com/erhard-lab/price) is a computational method that models experimental noise to enable researchers to accurately resolve overlapping sORFs and noncanonical translation initiation. We experimentally validated translation using major histocompatibility complex class I (MHC I) peptidomics and observed that sORF-derived peptides efficiently enter the MHC I presentation pathway and thus constitute a substantial fraction of the antigen repertoire.

Original languageEnglish
Pages (from-to)363-366
Number of pages4
JournalNature Methods
Volume15
Issue number5
DOIs
StatePublished - 27 Apr 2018
Externally publishedYes

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