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泛素化肽段的质谱特征分析为探索暗泛素化组提供了见解。

Mass Spectral Feature Analysis of Ubiquitylated Peptides Provides Insights into Probing the Dark Ubiquitylome.

作者信息

Edgington Regina M, Wilburn Damien B

机构信息

Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.

出版信息

J Am Soc Mass Spectrom. 2024 Dec 4;35(12):2849-2858. doi: 10.1021/jasms.4c00213. Epub 2024 Sep 27.

Abstract

Ubiquitylation is a structurally and functionally diverse post-translational modification that involves the covalent attachment of the small protein ubiquitin to other protein substrates. Trypsin-based proteomics is the most common approach for globally identifying ubiquitylation sites. However, we estimate that such methods are unable to detect ∼40% of ubiquitylation sites in the human proteome, , "the dark ubiquitylome", including many important for human health and disease. In this meta-analysis of three large ubiquitylomic data sets, we performed a series of bioinformatic analyses to assess experimental features that could aid in uniquely identifying site-specific ubiquitylation events. Spectral predictions from Prosit were compared to experimental spectra of tryptic ubiquitylated peptides, revealing previously uncharacterized fragmentation of the diGly scar. Analysis of the LysC-derived ubiquitylated peptides reveals systematic, multidimensional peptide fragmentation, including diagnostic b-ions from fragmentation of the LysC ubiquitin scar. Comprehensively, these findings provide diagnostic spectral signatures of modification events that could be applied to new analysis methods for nontryptic ubiquitylomics.

摘要

泛素化是一种在结构和功能上具有多样性的翻译后修饰,它涉及将小蛋白泛素共价连接到其他蛋白质底物上。基于胰蛋白酶的蛋白质组学是全球范围内鉴定泛素化位点最常用的方法。然而,我们估计这类方法无法检测到人类蛋白质组中约40%的泛素化位点,即 “暗泛素化组”,其中包括许多对人类健康和疾病至关重要的位点。在对三个大型泛素化蛋白质组数据集的荟萃分析中,我们进行了一系列生物信息学分析,以评估有助于唯一识别位点特异性泛素化事件的实验特征。将Prosit的光谱预测与胰蛋白酶泛素化肽段的实验光谱进行比较,揭示了二甘氨酸标记物先前未被表征的片段化情况。对LysC衍生的泛素化肽段的分析揭示了系统性的多维肽段片段化,包括来自LysC泛素标记物片段化的诊断性b离子。综合来看,这些发现提供了修饰事件的诊断光谱特征,可应用于非胰蛋白酶泛素化蛋白质组学的新分析方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0d7/11623170/83dc1182178a/js4c00213_0001.jpg

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