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细胞器绘图的蛋白质关联分析起源。

The Origins of Organellar Mapping by Protein Correlation Profiling.

机构信息

Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152, Martinsried, Germany.

Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.

出版信息

Proteomics. 2020 Dec;20(23):e1900330. doi: 10.1002/pmic.201900330. Epub 2020 Sep 6.

Abstract

Cells have a rich inner structure that is commonly explored by microscopy. Classical biochemical methods that break apart the cells and fractionate them along a gradient have now gotten a new lease on life through modern methods of mass spectrometry-based proteomics. Their common principle is to comprehensively measure all the proteins in each of the fractions. The resulting quantitative profile then associates thousands of proteins to their cellular homes. Here, the author recounts how protein correlation profiling, the first such technique, was conceived and how it was applied to answer intricate cell biological questions.

摘要

细胞具有丰富的内部结构,通常通过显微镜进行探索。经典的生化方法将细胞分离并沿着梯度进行分级,现在通过基于质谱的蛋白质组学的现代方法获得了新的生命力。它们的共同原理是全面测量每个分数中的所有蛋白质。由此产生的定量图谱将数千种蛋白质与它们的细胞来源相关联。在这里,作者讲述了第一个这样的技术——蛋白质相关分析是如何构思的,以及它是如何应用于回答复杂的细胞生物学问题的。

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