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通过无标记定量质谱法直接鉴定功能性淀粉样蛋白

Direct Identification of Functional Amyloid Proteins by Label-Free Quantitative Mass Spectrometry.

作者信息

Danielsen Heidi N, Hansen Susan H, Herbst Florian-Alexander, Kjeldal Henrik, Stensballe Allan, Nielsen Per H, Dueholm Morten S

机构信息

Center for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, 9220 Aalborg, Denmark.

Department of Health Science and Technology, Aalborg University, 9220 Aalborg, Denmark.

出版信息

Biomolecules. 2017 Aug 4;7(3):58. doi: 10.3390/biom7030058.

Abstract

Functional amyloids are important structural and functional components of many biofilms, yet our knowledge of these fascinating polymers is limited to a few examples for which the native amyloids have been isolated in pure form. Isolation of the functional amyloids from other cell components represents a major bottleneck in the search for new functional amyloid systems. Here we present a label-free quantitative mass spectrometry method that allows identification of amyloid proteins directly in cell lysates. The method takes advantage of the extreme structural stability and polymeric nature of functional amyloids and the ability of concentrated formic acid to depolymerize the amyloids. An automated data processing pipeline that provides a short list of amyloid protein candidates was developed based on an amyloid-specific sigmoidal abundance signature in samples treated with increasing concentrations of formic acid. The method was evaluated using the curli and the Fap system. It confidently identified the major amyloid subunit for both systems, as well as the minor subunit for the curli system. A few non-amyloid proteins also displayed the sigmoidal abundance signature. However, only one of these contained a sec-dependent signal peptide, which characterizes most of all secreted proteins, including all currently known functional bacterial amyloids.

摘要

功能性淀粉样蛋白是许多生物膜重要的结构和功能组成部分,然而,我们对这些迷人聚合物的了解仅限于少数几个已以纯形式分离出天然淀粉样蛋白的例子。从其他细胞成分中分离功能性淀粉样蛋白是寻找新的功能性淀粉样蛋白系统的一个主要瓶颈。在此,我们提出一种无标记定量质谱方法,可直接在细胞裂解物中鉴定淀粉样蛋白。该方法利用了功能性淀粉样蛋白的极端结构稳定性和聚合物性质,以及浓甲酸使淀粉样蛋白解聚的能力。基于在不同浓度甲酸处理的样品中淀粉样蛋白特异性的S形丰度特征,开发了一种自动数据处理流程,可提供淀粉样蛋白候选物的简短列表。该方法使用卷曲纤维和Fap系统进行了评估。它可靠地鉴定出了这两个系统的主要淀粉样亚基,以及卷曲纤维系统的次要亚基。一些非淀粉样蛋白也显示出S形丰度特征。然而,其中只有一种含有依赖Sec的信号肽,这是大多数分泌蛋白的特征,包括所有目前已知的功能性细菌淀粉样蛋白。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b71/5618239/387a30c67383/biomolecules-07-00058-g001.jpg

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