{"title":"Proteogenomics-enabled discovery of novel small open reading frame (sORF)-encoded polypeptides in human and mouse tissues","authors":"Mei Yang, Yuting Xie, Lingshuo Wang, Irwin Jungreis, Tong Ou, Manolis Kellis, Jia Wang, Yafeng Zhu","doi":"10.1093/nar/gkaf687","DOIUrl":null,"url":null,"abstract":"Small open reading frames (sORFs) encode an emerging class of functional proteins less than 100 amino acids in length. However, sORFs are incompletely characterized in mice and humans. The development of proteomics and Ribo-seq techniques has enabled the discovery of a number of sORF-encoded peptides (SEPs), but previous proteogenomics studies have been limited to a few cell lines or tissues. Given these limitations, a potentially vast number of sORFs remains to be discovered. We collected community-scale previously published proteomics data including one billion experimental spectra derived from a wide range of mouse and human tissues in order to identify novel sORFs and reveal the tissue expression status of novel and recently annotated sORF-encoded proteins. We have detected several novel sORFs in specific tissues, including a conserved protein-coding upstream overlapping ORF in HNRNPUL2 expressed in human lymphocytes, which may hold important biological functions. This work introduces a simple and efficient filtration strategy to detect novel sORFs. Our workflow will likely prove useful for future studies on sORFs in humans and other animals.","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":"57 1","pages":""},"PeriodicalIF":16.6000,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nucleic Acids Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/nar/gkaf687","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Small open reading frames (sORFs) encode an emerging class of functional proteins less than 100 amino acids in length. However, sORFs are incompletely characterized in mice and humans. The development of proteomics and Ribo-seq techniques has enabled the discovery of a number of sORF-encoded peptides (SEPs), but previous proteogenomics studies have been limited to a few cell lines or tissues. Given these limitations, a potentially vast number of sORFs remains to be discovered. We collected community-scale previously published proteomics data including one billion experimental spectra derived from a wide range of mouse and human tissues in order to identify novel sORFs and reveal the tissue expression status of novel and recently annotated sORF-encoded proteins. We have detected several novel sORFs in specific tissues, including a conserved protein-coding upstream overlapping ORF in HNRNPUL2 expressed in human lymphocytes, which may hold important biological functions. This work introduces a simple and efficient filtration strategy to detect novel sORFs. Our workflow will likely prove useful for future studies on sORFs in humans and other animals.
期刊介绍:
Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.