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采用多步酶消化、二氧化钛富集和数据库搜索的综合方法进行深入的磷酸化蛋白质组分析。

Integrated approach using multistep enzyme digestion, TiO2 enrichment, and database search for in-depth phosphoproteomic profiling.

作者信息

Han Dohyun, Jin Jonghwa, Yu Jiyoung, Kim Kyunggon, Kim Youngsoo

机构信息

Departments of Biomedical Sciences, Medical Research Center, Seoul National University College of Medicine, Seoul, Korea; Biomedical Engineering, Medical Research Center, Seoul National University College of Medicine, Seoul, Korea; Institute of Medical & Biological Engineering, Medical Research Center, Seoul National University College of Medicine, Seoul, Korea.

出版信息

Proteomics. 2015 Jan;15(2-3):618-23. doi: 10.1002/pmic.201400102. Epub 2014 Oct 8.

DOI:10.1002/pmic.201400102
PMID:25159016
Abstract

Protein phosphorylation is a major PTM that regulates important cell signaling mechanisms. In-depth phosphoproteomic analysis provides a method of examining this complex interplay, yielding a mechanistic understanding of the cellular processes and pathogenesis of various diseases. However, the analysis of protein phosphorylation is challenging, due to the low concentration of phosphoproteins in highly complex mixtures and the high variability of phosphorylation sites. Thus, typical phosphoproteome studies that are based on MS require large amounts of starting material and extensive fractionation steps to reduce the sample complexity. To this end, we present a simple strategy (integrated multistep enzyme digestion, enrichment, database search-iMEED) to improve coverage of the phosphoproteome from lower sample amounts which is faster than other commonly used approaches. It is inexpensive and adaptable to low sample amounts and saves time and effort with regard to sample preparation and mass spectrometric analysis, allowing samples to be prepared without prefractionation or specific instruments, such as HPLC. All MS data have been deposited in the ProteomeXchange with identifier PXD001033 (http://proteomecentral.proteomexchange.org/dataset/PXD001033).

摘要

蛋白质磷酸化是一种主要的翻译后修饰,可调节重要的细胞信号传导机制。深入的磷酸化蛋白质组分析提供了一种研究这种复杂相互作用的方法,有助于对细胞过程和各种疾病的发病机制形成机制性理解。然而,由于高复杂度混合物中磷酸化蛋白质的浓度较低以及磷酸化位点的高度变异性,蛋白质磷酸化分析具有挑战性。因此,基于质谱的典型磷酸化蛋白质组研究需要大量起始材料和广泛的分级分离步骤以降低样品复杂度。为此,我们提出了一种简单的策略(综合多步酶消化、富集、数据库搜索-iMEED),以从较少的样品量提高磷酸化蛋白质组的覆盖范围,该策略比其他常用方法更快。它成本低廉,适用于少量样品,在样品制备和质谱分析方面节省时间和精力,无需预分级分离或特定仪器(如高效液相色谱仪)即可制备样品。所有质谱数据已存入蛋白质组交换库,标识符为PXD001033(http://proteomecentral.proteomexchange.org/dataset/PXD001033)。

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