工作流程
计算生物学
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蛋白质组学
仿形(计算机编程)
生物
核糖体分析
计算机科学
翻译(生物学)
生物化学
信使核糖核酸
基因
肽序列
数据库
操作系统
作者
Bertrand Fabre,Jean‐Philippe Combier,Serge Plaza
标识
DOI:10.1016/j.cbpa.2020.12.002
摘要
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.
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