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蛋白质亚细胞定位的全局、定量和动态图谱

Global, quantitative and dynamic mapping of protein subcellular localization.

作者信息

Itzhak Daniel N, Tyanova Stefka, Cox Jürgen, Borner Georg Hh

机构信息

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

出版信息

Elife. 2016 Jun 9;5:e16950. doi: 10.7554/eLife.16950.

Abstract

Subcellular localization critically influences protein function, and cells control protein localization to regulate biological processes. We have developed and applied Dynamic Organellar Maps, a proteomic method that allows global mapping of protein translocation events. We initially used maps statically to generate a database with localization and absolute copy number information for over 8700 proteins from HeLa cells, approaching comprehensive coverage. All major organelles were resolved, with exceptional prediction accuracy (estimated at >92%). Combining spatial and abundance information yielded an unprecedented quantitative view of HeLa cell anatomy and organellar composition, at the protein level. We subsequently demonstrated the dynamic capabilities of the approach by capturing translocation events following EGF stimulation, which we integrated into a quantitative model. Dynamic Organellar Maps enable the proteome-wide analysis of physiological protein movements, without requiring any reagents specific to the investigated process, and will thus be widely applicable in cell biology.

摘要

亚细胞定位对蛋白质功能有着至关重要的影响,细胞通过控制蛋白质定位来调节生物过程。我们开发并应用了动态细胞器图谱,这是一种蛋白质组学方法,能够对蛋白质转运事件进行全局映射。我们最初静态地使用图谱来生成一个数据库,其中包含来自HeLa细胞的8700多种蛋白质的定位和绝对拷贝数信息,接近全面覆盖。所有主要细胞器都得到了解析,预测准确率极高(估计>92%)。结合空间和丰度信息,在蛋白质水平上产生了对HeLa细胞解剖结构和细胞器组成前所未有的定量视图。随后,我们通过捕获表皮生长因子(EGF)刺激后的转运事件,展示了该方法的动态能力,并将其整合到一个定量模型中。动态细胞器图谱能够在全蛋白质组范围内分析生理状态下的蛋白质运动,无需任何针对所研究过程的特异性试剂,因此将在细胞生物学中得到广泛应用。

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