Department of Chemistry and Biochemistry , University of Texas at Arlington , Arlington , Texas 76019 , United States.
Department of Computer Science , University of Texas at Arlington , Arlington , Texas 76019 , United States.
J Am Soc Mass Spectrom. 2020 Feb 5;31(2):173-182. doi: 10.1021/jasms.9b00111. Epub 2020 Jan 2.
Cleavable cross-linking technology requires further MS/MS of the cleavable fragments for unambiguous identification of cross-linked peptides. These spectra are sometimes very ambiguous due to the sensitivity and complex fragmentation pattern of the peptides with the cross-linked residues. We recently reported a dual cleavable cross-linking technology (DUCCT), which can enhance the confidence in the identification of cross-linked peptides. The heart of this strategy is a novel dual mass spectrometry cleavable cross linker that can be cleaved preferentially by two differential tandem mass spectrometry methods, collision induced dissociation and electron transfer dissociation (CID and ETD). Different signature ions from two different mass spectra for the same cross-linked peptide helped identify the cross-linked peptides with high confidence. In this study, we developed an enrichment-based photocleavable DUCCT (PC-DUCCT-biotin), where cross-linked products were enriched from biological samples using affinity purification, and subsequently, two sequential tandem (CID and ETD) mass spectrometry processes were utilized. Furthermore, we developed a prototype software called Cleave-XL to analyze cross-linked products generated by DUCCT. Photocleavable DUCCT was demonstrated in standard peptides and proteins. Efficiency of the software tools to search and compare CID and ETD data of photocleavable DUCCT biotin in standard peptides and proteins as well as regular DUCCT in protein complexes from immune cells were tested. The software is efficient in pinpointing cross-linked sites using CID and ETD cross-linking data. We believe this new DUCCT and associated software tool Cleave-XL will advance high confidence identification of protein cross-linking sites and automated identification of low-resolution protein structures.
可裂解交联技术需要对可裂解片段进行进一步的 MS/MS 分析,以明确鉴定交联肽。由于交联残基肽的灵敏度和复杂的碎裂模式,这些谱图有时非常模糊。我们最近报道了一种双重可裂解交联技术 (DUCCT),它可以提高鉴定交联肽的可信度。该策略的核心是一种新型的双重质谱可裂解交联剂,它可以通过两种不同的串联质谱方法(CID 和 ETD)优先裂解。来自相同交联肽的两个不同质谱的不同特征离子有助于高度确定地鉴定交联肽。在这项研究中,我们开发了一种基于富集的光裂解 DUCCT(PC-DUCCT-生物素),其中交联产物可以通过亲和纯化从生物样品中富集,然后使用两种连续的串联(CID 和 ETD)质谱过程进行分析。此外,我们开发了一种名为 Cleave-XL 的原型软件,用于分析 DUCCT 生成的交联产物。光裂解 DUCCT 在标准肽和蛋白质中进行了验证。测试了该软件工具在标准肽和蛋白质中的光裂解 DUCCT 生物素以及免疫细胞中蛋白质复合物中的常规 DUCCT 的 CID 和 ETD 数据的搜索和比较效率。该软件在使用 CID 和 ETD 交联数据精确定位交联位点方面非常有效。我们相信这种新的 DUCCT 和相关的软件工具 Cleave-XL 将推进蛋白质交联位点的高可信度鉴定和低分辨率蛋白质结构的自动化鉴定。