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“差异可视化蛋白质组学”:实现单细胞蛋白质组范围内的蛋白质结构比较。

"Differential Visual Proteomics": Enabling the Proteome-Wide Comparison of Protein Structures of Single-Cells.

机构信息

Center for Cellular Imaging and NanoAnalytics, Biozentrum , University of Basel , Mattenstrasse 26 , 4058 Basel , Switzerland.

Swiss Nanoscience Institute , University of Basel , 4056 Basel , Switzerland.

出版信息

J Proteome Res. 2019 Sep 6;18(9):3521-3531. doi: 10.1021/acs.jproteome.9b00447. Epub 2019 Aug 12.

Abstract

Proteins are involved in all tasks of life, and their characterization is essential to understand the underlying mechanisms of biological processes. We present a method called "differential visual proteomics" geared to study proteome-wide structural changes of proteins and protein-complexes between a disturbed and an undisturbed cell or between two cell populations. To implement this method, the cells are lysed and the lysate is prepared in a lossless manner for single-particle electron microscopy (EM). The samples are subsequently imaged in the EM. Individual particles are computationally extracted from the images and pooled together, while keeping track of which particle originated from which specimen. The extracted particles are then aligned and classified. A final quantitative analysis of the particle classes found identifies the particle structures that differ between positive and negative control samples. The algorithm and a graphical user interface developed to perform the analysis and to visualize the results were tested with simulated and experimental data. The results are presented, and the potential and limitations of the current implementation are discussed. We envisage the method as a tool for the untargeted profiling of the structural changes in the proteome of single-cells as a response to a disturbing force.

摘要

蛋白质参与生命的所有任务,对其进行特征描述对于理解生物过程的基本机制至关重要。我们提出了一种称为“差异可视化蛋白质组学”的方法,旨在研究蛋白质和蛋白质复合物在受干扰和未受干扰的细胞之间或两个细胞群体之间的全蛋白质组结构变化。为了实现这种方法,细胞被裂解,并且以无损的方式制备用于单颗粒电子显微镜(EM)的裂解物。随后在 EM 中对样品进行成像。从图像中计算提取单个颗粒,并将其汇集在一起,同时跟踪哪个颗粒来自哪个标本。然后对提取的颗粒进行对齐和分类。对阳性和阴性对照样品之间存在差异的颗粒类别的最终定量分析确定了颗粒结构。开发了用于执行分析和可视化结果的算法和图形用户界面,并使用模拟和实验数据对其进行了测试。结果被呈现,并且讨论了当前实现的潜力和局限性。我们设想该方法是一种工具,可用于针对单个细胞中蛋白质组的结构变化进行无目标分析,作为对干扰力的响应。

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