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 language | English |
|---|---|
| Pages (from-to) | 363-366 |
| Number of pages | 4 |
| Journal | Nature Methods |
| Volume | 15 |
| Issue number | 5 |
| DOIs | |
| State | Published - 27 Apr 2018 |
| Externally published | Yes |