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Spatial proteomics: a powerful discovery tool for cell biology.
Nature Reviews Molecular Cell Biology ( IF 81.3 ) Pub Date : 2019-05-01 , DOI: 10.1038/s41580-018-0094-y
Emma Lundberg 1, 2, 3 , Georg H H Borner 4
Affiliation  

Protein subcellular localization is tightly controlled and intimately linked to protein function in health and disease. Capturing the spatial proteome - that is, the localizations of proteins and their dynamics at the subcellular level - is therefore essential for a complete understanding of cell biology. Owing to substantial advances in microscopy, mass spectrometry and machine learning applications for data analysis, the field is now mature for proteome-wide investigations of spatial cellular regulation. Studies of the human proteome have begun to reveal a complex architecture, including single-cell variations, dynamic protein translocations, changing interaction networks and proteins localizing to multiple compartments. Furthermore, several studies have successfully harnessed the power of comparative spatial proteomics as a discovery tool to unravel disease mechanisms. We are at the beginning of an era in which spatial proteomics finally integrates with cell biology and medical research, thereby paving the way for unbiased systems-level insights into cellular processes. Here, we discuss current methods for spatial proteomics using imaging or mass spectrometry and specifically highlight global comparative applications. The aim of this Review is to survey the state of the field and also to encourage more cell biologists to apply spatial proteomics approaches.

中文翻译:

空间蛋白质组学:细胞生物学的强大发现工具。

蛋白质亚细胞定位受到严格控制,并与健康和疾病中的蛋白质功能密切相关。因此,捕获空间蛋白质组-即蛋白质的定位及其在亚细胞水平上的动力学-对于全面了解细胞生物学至关重要。由于显微镜技术,质谱技术和机器学习在数据分析中的应用取得了长足的进步,因此该领域已经成为蛋白质组范围内空间细胞调节研究的成熟领域。对人类蛋白质组的研究已开始揭示一种复杂的体系结构,包括单细胞变异,动态蛋白质易位,不断变化的相互作用网络以及位于多个区室的蛋白质。此外,几项研究成功地利用了比较空间蛋白质组学的力量,将其作为揭示疾病机理的发现工具。我们正处于一个时代的开始,在这个时代中,空间蛋白质组学最终与细胞生物学和医学研究融合在一起,从而为无偏见的系统级洞察细胞过程铺平了道路。在这里,我们讨论使用成像或质谱技术进行空间蛋白质组学的当前方法,并特别强调全球比较应用。这篇综述的目的是调查该领域的现状,并鼓励更多的细胞生物学家应用空间蛋白质组学方法。从而为无偏见的系统级洞察细胞过程铺平了道路。在这里,我们讨论使用成像或质谱技术进行空间蛋白质组学的当前方法,并特别强调全球比较应用。这篇综述的目的是调查该领域的现状,并鼓励更多的细胞生物学家应用空间蛋白质组学方法。从而为无偏见的系统级洞察细胞过程铺平了道路。在这里,我们讨论使用成像或质谱技术进行空间蛋白质组学的当前方法,并特别强调全球比较应用。这篇综述的目的是调查该领域的现状,并鼓励更多的细胞生物学家应用空间蛋白质组学方法。
更新日期:2019-05-16
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