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.

中文翻译：

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改进的 Ribo-seq 能够识别神秘的翻译事件。


核糖体分析已被用来预测真核细胞中数千个短开放阅读框 (sORF)，但它存在大量噪音。 PRICE (https://github.com/erhard-lab/price) 是一种对实验噪声进行建模的计算方法，使研究人员能够准确解决重叠的 sORF 和非规范翻译起始问题。我们使用主要组织相容性复合物 I 类 (MHC I) 肽组学实验验证了翻译，并观察到 ​​sORF 衍生肽有效进入 MHC I 呈递途径，从而构成了抗原库的重要部分。