Institute for Informatics, Ludwig-Maximilians-Universität München, München, Germany.
Institute for Virology and Immunobiology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
Nat Methods. 2018 May;15(5):363-366. doi: 10.1038/nmeth.4631. Epub 2018 Mar 12.
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.
核糖体图谱分析已被用于预测真核细胞中数千个短开放阅读框(sORF),但它存在大量的噪声。PRICE(https://github.com/erhard-lab/price)是一种计算方法,它可以对实验噪声进行建模,使研究人员能够准确地解析重叠的 sORF 和非规范的翻译起始。我们使用主要组织相容性复合体 I 类(MHC I)肽组学实验验证了翻译,观察到 sORF 衍生的肽有效地进入 MHC I 呈递途径,因此构成了抗原库的很大一部分。