Hidden in plain sight: challenges in proteomics detection of small ORF-encoded polypeptides.

microLife Pub Date : 2022-05-14 eCollection Date: 2022-01-01 DOI:10.1093/femsml/uqac005
Igor Fijalkowski, Patrick Willems, Veronique Jonckheere, Laure Simoens, Petra Van Damme
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引用次数: 0

Abstract

Genomic studies of bacteria have long pointed toward widespread prevalence of small open reading frames (sORFs) encoding for short proteins, <100 amino acids in length. Despite the mounting genomic evidence of their robust expression, relatively little progress has been made in their mass spectrometry-based detection and various blanket statements have been used to explain this observed discrepancy. In this study, we provide a large-scale riboproteogenomics investigation of the challenging nature of proteomic detection of such small proteins as informed by conditional translation data. A panel of physiochemical properties alongside recently developed mass spectrometry detectability metrics was interrogated to provide a comprehensive evidence-based assessment of sORF-encoded polypeptide (SEP) detectability. Moreover, a large-scale proteomics and translatomics compendium of proteins produced by Salmonella Typhimurium (S. Typhimurium), a model human pathogen, across a panel of growth conditions is presented and used in support of our in silico SEP detectability analysis. This integrative approach is used to provide a data-driven census of small proteins expressed by S. Typhimurium across growth phases and infection-relevant conditions. Taken together, our study pinpoints current limitations in proteomics-based detection of novel small proteins currently missing from bacterial genome annotations.

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隐藏在众目睽睽之下:蛋白质组学检测 ORF 编码的小多肽所面临的挑战。
对细菌的基因组研究早已表明,编码短小蛋白质的小开放阅读框(sORFs)普遍存在,本研究介绍了典型人类病原体鼠伤寒沙门氏菌(S. Typhimurium)在各种生长条件下的表达情况,并将其用于支持我们的硅学 SEP 可探测性分析。这种综合方法用于提供由数据驱动的伤寒杆菌在不同生长阶段和感染相关条件下表达的小蛋白普查。总之,我们的研究指出了目前基于蛋白质组学检测细菌基因组注释中缺失的新型小蛋白的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
5.50
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