Golgi and Related Vesicle Proteomics: Simplify to Identify
Golgi and Related Vesicle Proteomics: Simplify to Identify
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DOI：
10.1101/cshperspect.a005421
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发表时间：
2011-12-01
影响因子：
7.2
通讯作者：
Nilsson, Tommy
中科院分区：
文献类型：
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作者：
Gannon, Joan;Bergeron, John J. M.;Nilsson, Tommy
尽管60多年来对高尔基体的研究取得了成功，但关于生物合成物质如何通过分泌途径运输的基本问题仍然没有答案。活细胞成像和相关显微镜等新技术突出了高尔基体的可塑性，这种可塑性对扰动敏感，但在恢复结构和功能方面非常有效。单分子显微镜和超分辨率显微镜进一步增加了这一画面。蛋白质转运的各种模型已经提出，每一个都有自己的优点和缺陷，但我们远没有解决一个比另一个更正确。因此，我们的实验室考虑了高尔基体运输的多种机制，直到证明不是这样。这包括两种经典的运输模式，囊泡运输和脑池进展/成熟，以及最近的模型，如管状脑池间和脑池内连接（长期或短暂）和高尔基体间运输。在这篇文章中，我们专注于一个新兴的诱导技术，质谱为基础的蛋白质组学，已经使洞察的相对组成的车厢和亚车厢的分泌途径，包括机制方面的蛋白质运输。我们注意到，蛋白质组学与任何其他技术一样，不是一种独立的技术，而是与互补方法一起工作的最佳技术。
Despite more than six decades of successful Golgi research, the fundamental question as to how biosynthetic material is transported through the secretory pathway remains unanswered. New technologies such as live cell imaging and correlative microscopy have highlighted the plastic nature of the Golgi, one that is sensitive to perturbation yet highly efficient in regaining both structure and function. Single molecule-microscopy and super resolution-microscopy further adds to this picture. Various models for protein transport have been put forward, each with its own merits and pitfalls but we are far from resolving whether one is more correct than the other. As such, our laboratory considers multiple mechanisms of Golgi transport until proven otherwise. This includes the two classical modes of transport, vesicular transport and cisternal progression/maturation as well as more recent models such as tubular inter-and intra-cisternal connections (long lasting or transient) and inter-Golgi stack transport. In this article, we focus on an emerging inductive technology, mass spectrometry- based proteomics that has already enabled insight into the relative composition of compartments and subcompartments of the secretory pathway including mechanistic aspects of protein transport. We note that proteomics, as with any other technology, is not a stand-alone technology but one that works best alongside complementary approaches.