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用于空间蛋白质组学的动态细胞器图谱

Dynamic Organellar Maps for Spatial Proteomics.

作者信息

Itzhak Daniel N, Schessner Julia P, Borner Georg H H

机构信息

Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.

出版信息

Curr Protoc Cell Biol. 2019 Jun;83(1):e81. doi: 10.1002/cpcb.81. Epub 2018 Nov 29.

Abstract

Eukaryotic cells are highly compartmentalized and protein subcellular localization critically influences protein function. Identification of the subcellular localizations of proteins and their translocation events upon perturbation has mostly been confined to targeted studies or laborious microscopy-based methods. Here we describe a systematic mass spectrometry-based method for spatial proteomics. The approach uses simple fractionation profiling and has two applications: Firstly it can be used to infer subcellular protein localization on a proteome-wide scale, resulting in a protein map of the cell. Secondly, the method permits identification of changes in protein localization, by comparing maps made under different conditions, as a tool for unbiased systems cell biology. © 2018 by John Wiley & Sons, Inc.

摘要

真核细胞具有高度的区室化,蛋白质的亚细胞定位对蛋白质功能有至关重要的影响。蛋白质亚细胞定位及其在受到干扰时的转位事件的鉴定大多局限于靶向研究或基于显微镜的繁琐方法。在此,我们描述了一种基于质谱的系统空间蛋白质组学方法。该方法采用简单的分级分析,有两个应用:首先,它可用于在全蛋白质组范围内推断亚细胞蛋白质定位,从而生成细胞的蛋白质图谱。其次,通过比较在不同条件下制作的图谱,该方法能够鉴定蛋白质定位的变化,作为无偏见的系统细胞生物学工具。© 2018约翰威立国际出版公司

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