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基于 SDS-PAGE 的 N 端蛋白质组学分析方法。

An SDS-PAGE based proteomic approach for N-terminome profiling.

机构信息

Center for Theragnosis, Korea Institute of Science and Technology, Seoul 02792, Korea.

出版信息

Analyst. 2019 Nov 18;144(23):7001-7009. doi: 10.1039/c9an01616c.

DOI:10.1039/c9an01616c
PMID:31647066
Abstract

Initial sample quantity, solubilization, separation, and visualization of proteins or their proteolytically altered products are some of the challenges of the currently available solution-based N-termini enrichment methods. We therefore took advantage of the conventional SDS-PAGE system and attempted to address these challenges by proposing a simple yet reproducible, negative selection N-termini enrichment strategy coupled with mass spectrometry based protein identification. It includes in-gel protein level labeling of primary amines using d6-acetic anhydride and post-digestion negative selection of labeled N-terminal peptide(s) using N-hydroxysuccinimide activated agarose beads. We demonstrated the superiority of our method by successfully enriching protein N-termini from as low as 10 ng of bovine serum albumin. The method was validated for its applicability to a complex mixture of proteins by selectively enriching neo-N-termini generated by a site specific protease Glu-C. Its effectiveness for deep N-terminome profiling was also shown using human cell lysate. In addition, a system-wide label-free quantitative proteomic analysis of N-termini in MMP2-perturbed HCT8 cell secretome revealed substrates of several extra- and intra-cellular proteases, which are part of cell growth and proliferation and degradation pathways. In brief, the proposed method demonstrates an effective strategy not only to detect N-termini from a single protein but also for the deep and quantitative analysis of N-terminome from a limited sample amount.

摘要

初始样品数量、溶解、分离和蛋白质或其蛋白水解产物的可视化是目前基于溶液的 N 端富集方法所面临的一些挑战。因此,我们利用传统的 SDS-PAGE 系统,并通过提出一种简单但可重复的、负选择的 N 端富集策略,结合基于质谱的蛋白质鉴定,来解决这些挑战。该策略包括使用 d6-乙酸酐对初级胺进行胶内蛋白质水平标记,以及使用 NHS 激活琼脂糖珠对标记的 N 端肽进行消化后负选择。我们通过成功地从低至 10ng 的牛血清白蛋白中富集蛋白质 N 端,证明了我们方法的优越性。该方法通过选择性地富集由 Glu-C 等位点特异性蛋白酶产生的新 N 端,验证了其对复杂蛋白质混合物的适用性。使用人细胞裂解物也证明了其进行深度 N 端组学分析的有效性。此外,对 MMP2 干扰的 HCT8 细胞分泌组中的 N 端进行无标记的全系统定量蛋白质组学分析,揭示了几种细胞内外蛋白酶的底物,这些蛋白酶是细胞生长和增殖以及降解途径的一部分。总之,该方法不仅证明了从单个蛋白质中检测 N 端的有效策略,而且还可以从有限的样品量中对 N 端组进行深度和定量分析。

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