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通过自上而下的质谱法定量位置异构体 (QPI)。

Quantifying Positional Isomers (QPI) by Top-Down Mass Spectrometry.

机构信息

Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands; Netherlands Proteomics Center, Utrecht University, Utrecht, the Netherlands.

Department of Cell and Chemical Biology, Oncode Institute, Leiden University Medical Center, Leiden, the Netherlands.

出版信息

Mol Cell Proteomics. 2021;20:100070. doi: 10.1016/j.mcpro.2021.100070. Epub 2021 Mar 10.

Abstract

Proteomics has exposed a plethora of posttranslational modifications, but demonstrating functional relevance requires new approaches. Top-down proteomics of intact proteins has the potential to fully characterize protein modifications in terms of amount, site(s), and the order in which they are deposited on the protein; information that so far has been elusive to extract by shotgun proteomics. Data acquisition and analysis of intact multimodified proteins have however been a major challenge, in particular for positional isomers that carry the same number of modifications at different sites. Solutions were previously proposed to extract this information from fragmentation spectra, but these have so far mainly been limited to peptides and have entailed a large degree of manual interpretation. Here, we apply high-resolution Orbitrap fusion top-down analyses in combination with bioinformatics approaches to attempt to characterize multiple modified proteins and quantify positional isomers. Automated covalent fragment ion type definition, detection of mass precision and accuracy, and extensive use of replicate spectra increase sequence coverage and drive down false fragment assignments from 10% to 1.5%. Such improved performance in fragment assignment is key to localize and quantify modifications from fragment spectra. The method is tested by investigating positional isomers of Ubiquitin mixed in known concentrations, which results in quantification of high ratios at very low standard errors of the mean (<5%), as well as with synthetic phosphorylated peptides. Application to multiphosphorylated Bora provides an estimation of the so far unknown stoichiometry of the known set of phosphosites and uncovers new sites from hyperphosphorylated Bora.

摘要

蛋白质组学已经揭示了大量的翻译后修饰,但要证明其功能相关性需要新的方法。完整蛋白质的自上而下蛋白质组学有可能全面描述蛋白质修饰的数量、位置以及修饰在蛋白质上沉积的顺序;迄今为止,通过鸟枪法蛋白质组学很难提取这些信息。然而,完整的多修饰蛋白质的数据分析一直是一个主要挑战,特别是对于在不同位置携带相同数量修饰的位置异构体。以前曾提出从碎片谱中提取这些信息的解决方案,但迄今为止,这些方法主要限于肽,并且需要大量的人工解释。在这里,我们应用高分辨率 Orbitrap 融合自上而下分析结合生物信息学方法来尝试表征多种修饰蛋白和定量位置异构体。自动共价片段离子类型定义、质量精度和准确性的检测以及广泛使用重复谱图,提高了序列覆盖率,并将错误片段分配率从 10%降低到 1.5%。这种改进的片段分配性能对于从片段谱中定位和定量修饰至关重要。该方法通过研究已知浓度混合的泛素位置异构体进行了测试,结果表明,在非常低的平均标准误差(<5%)下,可以对高比值进行定量,以及对合成磷酸化肽进行定量。应用于多磷酸化 Bora 提供了对已知磷酸化位点集合中迄今为止未知的化学计量的估计,并从过度磷酸化的 Bora 中揭示了新的位点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4a2/8099777/252ea551364e/fx1.jpg

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