串联质谱肽糖基化产物的开放搜索。
Open Search of Peptide Glycation Products from Tandem Mass Spectra.
机构信息
Chair of Analytical Food Chemistry, Technical University Munich, Maximus-von-Imhof-Forum 2, 85354 Freising, Germany.
Research Unit Analytical BioGeoChemistry (BGC), Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany.
出版信息
Anal Chem. 2022 Apr 19;94(15):5953-5961. doi: 10.1021/acs.analchem.2c00388. Epub 2022 Apr 7.
Identification of chemically modified peptides in mass spectrometry (MS)-based glycation studies is a crucial yet challenging task. There is a need to establish a mode for matching tandem mass spectrometry (MS/MS) data, allowing for both known and unknown peptide glycation modifications. We present an open search approach that uses classic and modified peptide fragment ions. The latter are shifted by the mass delta of the modification. Both provide key structural information that can be used to assess the peptide core structure of the glycation product. We also leverage redundant neutral losses from the modification side chain, introducing a third ion class for matching referred to as characteristic fragment ions. We demonstrate that peptide glycation product MS/MS spectra contain multidimensional information and that most often, more than half of the spectral information is ignored if no attempt is made to use a multi-step matching algorithm. Compared to regular and/or modified peptide ion matching, our triple-ion strategy significantly increased the median interpretable fraction of the glycation product MS/MS spectra. For reference, we apply our approach for Amadori product characterization and identify all established diagnostic ions automatically. We further show how this method effectively applies the open search concept and allows for optimized elucidation of unknown structures by presenting two hitherto undescribed peptide glycation modifications with a delta mass of 102.0311 and 268.1768 Da. We characterize their fragmentation signature by integration with isotopically labeled glycation products, which provides high validity for non-targeted structure identification.
在基于质谱(MS)的糖化研究中鉴定化学修饰肽是一项至关重要但具有挑战性的任务。需要建立一种匹配串联质谱(MS/MS)数据的模式,既能匹配已知的也能匹配未知的肽糖化修饰。我们提出了一种开放搜索方法,使用经典和修饰的肽片段离子。后者通过修饰的质量差值发生位移。两者都提供了关键的结构信息,可以用来评估糖化产物的肽核心结构。我们还利用修饰侧链的冗余中性损失,引入了第三种用于匹配的离子类别,称为特征片段离子。我们证明肽糖化产物 MS/MS 谱包含多维信息,如果不尝试使用多步匹配算法,通常会忽略超过一半的谱信息。与常规和/或修饰肽离子匹配相比,我们的三离子策略显著增加了糖化产物 MS/MS 谱的可解释分数中位数。作为参考,我们应用我们的方法进行 Amadori 产物表征,并自动识别所有已建立的诊断离子。我们进一步展示了这种方法如何有效地应用开放搜索概念,并通过呈现两个迄今尚未描述的肽糖化修饰,以 102.0311 和 268.1768 Da 的质量差值,有效地优化了未知结构的阐明。我们通过与同位素标记的糖化产物进行整合来描述它们的碎片特征,这为非靶向结构鉴定提供了高度的有效性。