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利用差异串联质谱蛋白质组学发现蛋白质修饰。

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics.

机构信息

Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10021, United States.

Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York 10016, United States.

出版信息

J Proteome Res. 2021 Apr 2;20(4):1835-1848. doi: 10.1021/acs.jproteome.0c00638. Epub 2021 Mar 22.

Abstract

Recent studies have revealed diverse amino acid, post-translational, and noncanonical modifications of proteins in diverse organisms and tissues. However, their unbiased detection and analysis remain hindered by technical limitations. Here, we present a spectral alignment method for the identification of protein modifications using high-resolution mass spectrometry proteomics. Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. Using synthetic standards and controlled chemical labeling experiments, we demonstrate its high specificity and sensitivity for the discovery of substoichiometric protein modifications in complex cellular extracts. SAMPEI mapping of mouse macrophage differentiation revealed diverse post-translational protein modifications, including distinct forms of cysteine itaconatylation. SAMPEI's robust parametrization and versatility are expected to facilitate the discovery of biological modifications of diverse macromolecules. SAMPEI is implemented as a Python package and is available open-source from BioConda and GitHub (https://github.com/FenyoLab/SAMPEI).

摘要

最近的研究揭示了在不同生物体和组织中蛋白质的多种氨基酸、翻译后和非规范修饰。然而,它们的无偏检测和分析仍然受到技术限制的阻碍。在这里,我们提出了一种使用高分辨率质谱蛋白质组学鉴定蛋白质修饰的谱对齐方法。该方法称为基于谱对齐的修饰肽鉴定(SAMPEI),这是一种开源算法,旨在发现功能性蛋白质和肽信号修饰,而无需事先了解它们的身份。使用合成标准品和受控的化学标记实验,我们证明了它在复杂细胞提取物中发现亚化学计量蛋白质修饰的高特异性和灵敏度。SAMPEI 对小鼠巨噬细胞分化的分析揭示了多种翻译后蛋白质修饰,包括不同形式的半胱氨酸异丁酰化。SAMPEI 的强大参数化和多功能性有望促进对各种生物大分子的生物学修饰的发现。SAMPEI 是用 Python 编写的,可从 BioConda 和 GitHub (https://github.com/FenyoLab/SAMPEI)获得开源。

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