Newfound Coding Potential of Transcripts Unveils Missing Members of Human Protein Communities.

IF 11.5 2区 生物学 Q1 GENETICS & HEREDITY Genomics, Proteomics & Bioinformatics Pub Date : 2023-06-01 Epub Date: 2022-09-30 DOI:10.1016/j.gpb.2022.09.008
Sébastien Leblanc, Marie A Brunet, Jean-François Jacques, Amina M Lekehal, Andréa Duclos, Alexia Tremblay, Alexis Bruggeman-Gascon, Sondos Samandi, Mylène Brunelle, Alan A Cohen, Michelle S Scott, Xavier Roucou
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Abstract

Recent proteogenomic approaches have led to the discovery that regions of the transcriptome previously annotated as non-coding regions [i.e., untranslated regions (UTRs), open reading frames overlapping annotated coding sequences in a different reading frame, and non-coding RNAs] frequently encode proteins, termed alternative proteins (altProts). This suggests that previously identified protein-protein interaction (PPI) networks are partially incomplete because altProts are not present in conventional protein databases. Here, we used the proteogenomic resource OpenProt and a combined spectrum- and peptide-centric analysis for the re-analysis of a high-throughput human network proteomics dataset, thereby revealing the presence of 261 altProts in the network. We found 19 genes encoding both an annotated (reference) and an alternative protein interacting with each other. Of the 117 altProts encoded by pseudogenes, 38 are direct interactors of reference proteins encoded by their respective parental genes. Finally, we experimentally validate several interactions involving altProts. These data improve the blueprints of the human PPI network and suggest functional roles for hundreds of altProts.

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新发现的转录本编码潜力揭示了人类蛋白质群落的缺失成员。
最近的蛋白质基因组学方法发现,转录组先前被注释为非编码区(即非翻译区(utr),在不同的阅读框中重叠注释编码序列的开放阅读框和非编码rna)的区域经常编码蛋白质,称为替代蛋白质(altProts)。这表明先前确定的蛋白质-蛋白质相互作用(PPI)网络部分不完整,因为altProts不存在于传统的蛋白质数据库中。在这里,我们使用蛋白质基因组资源OpenProt和结合的以光谱和肽为中心的分析对高通量人类网络蛋白质组学数据集进行重新分析,从而揭示了网络中261个altProts的存在。我们发现19个基因编码一个注释(参考)和一个替代蛋白相互作用。在假基因编码的117个altProts中,38个是亲本基因编码的参比蛋白的直接相互作用物。最后,我们通过实验验证了几个涉及altProts的交互作用。这些数据改进了人类PPI网络的蓝图,并建议了数百个altProts的功能角色。
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来源期刊
Genomics, Proteomics & Bioinformatics
Genomics, Proteomics & Bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
14.30
自引率
4.20%
发文量
844
审稿时长
61 days
期刊介绍: Genomics, Proteomics and Bioinformatics (GPB) is the official journal of the Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation and Genetics Society of China. It aims to disseminate new developments in the field of omics and bioinformatics, publish high-quality discoveries quickly, and promote open access and online publication. GPB welcomes submissions in all areas of life science, biology, and biomedicine, with a focus on large data acquisition, analysis, and curation. Manuscripts covering omics and related bioinformatics topics are particularly encouraged. GPB is indexed/abstracted by PubMed/MEDLINE, PubMed Central, Scopus, BIOSIS Previews, Chemical Abstracts, CSCD, among others.
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