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基于质谱的肽组学工作流程在识别短开放阅读框编码肽及其功能方面的最新进展。

Recent advances in mass spectrometry-based peptidomics workflows to identify short-open-reading-frame-encoded peptides and explore their functions.

机构信息

Laboratoire de Recherche en Sciences Végétales, UMR5546, Université de Toulouse, UPS, CNRS, 31320, Auzeville-Tolosane, France.

Laboratoire de Recherche en Sciences Végétales, UMR5546, Université de Toulouse, UPS, CNRS, 31320, Auzeville-Tolosane, France.

出版信息

Curr Opin Chem Biol. 2021 Feb;60:122-130. doi: 10.1016/j.cbpa.2020.12.002. Epub 2021 Jan 2.

Abstract

Short open reading frame (sORF)-encoded polypeptides (SEPs) have recently emerged as key regulators of major cellular processes. Computational methods for the annotation of sORFs combined with transcriptomics and ribosome profiling approaches predicted the existence of tens of thousands of SEPs across the kingdom of life. Although, we still lack unambiguous evidence for most of them. The method of choice to validate the expression of SEPs is mass spectrometry (MS)-based peptidomics. Peptides are less abundant than proteins, which tends to hinder their detection. Therefore, optimization and enrichment methods are necessary to validate the existence of SEPs. In this article, we discuss the challenges for the detection of SEPs by MS and recent developments of biochemical approaches applied to the study of these peptides. We detail the advances made in the different key steps of a typical peptidomics workflow and highlight possible alternatives that have not been explored yet.

摘要

短开放阅读框(sORF)编码的多肽(SEP)最近成为主要细胞过程的关键调节剂。用于 sORF 注释的计算方法结合转录组学和核糖体分析方法,预测了生命王国中数万个 SEP 的存在。尽管,我们仍然缺乏大多数 SEP 的明确证据。验证 SEP 表达的首选方法是基于质谱(MS)的肽组学。肽比蛋白质的丰度低,这往往会阻碍它们的检测。因此,需要优化和富集方法来验证 SEP 的存在。在本文中,我们讨论了 MS 检测 SEP 所面临的挑战,以及应用于这些肽研究的生化方法的最新进展。我们详细介绍了典型肽组学工作流程的不同关键步骤所取得的进展,并强调了尚未探索的可能替代方案。

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