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通过分泌组分析对非常规分泌蛋白进行特征描述的陷阱和机遇。

Pitfalls and opportunities in the characterization of unconventionally secreted proteins by secretome analysis.

机构信息

Molecular Proteomics Laboratory (MPL), Biomedical Research Center (BMFZ), Heinrich-Heine-University, Düsseldorf, Germany; Department of Neurology, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany.

Molecular Proteomics Laboratory (MPL), Biomedical Research Center (BMFZ), Heinrich-Heine-University, Düsseldorf, Germany.

出版信息

Biochim Biophys Acta Proteins Proteom. 2019 Dec;1867(12):140237. doi: 10.1016/j.bbapap.2019.06.004. Epub 2019 Jun 12.

DOI:10.1016/j.bbapap.2019.06.004
PMID:31202002
Abstract

Proteins are released from cells by different secretory pathways. The secretory pathway via the ER-Golgi route - realized by a signal sequence - is referred to as "classical secretion". In contrast, alternative secretory pathways were summarized as "unconventional protein secretion". Until now, unconventional protein secretion was lacking attention due to the absence of detailed mechanistic insight and limited experimental access. However, there is a growing number of experimental data showing that a large proportion of secreted proteins is released by these alternative routes. Secretomics - the analysis of all secreted proteins of a cell population - offers the opportunity to gain more functional insight into unconventional protein secretion. Several pitfalls in secretome analysis starting with the analyzed cell model and sample preparation to data analysis have to be considered for detailed characterization of the secretome. Here, we highlight the investigation of secretomes by quantitative LC-MS/MS analysis and discuss pitfalls and opportunities in the characterization of unconventionally secreted proteins by secretome analysis.

摘要

蛋白质通过不同的分泌途径从细胞中释放出来。通过内质网-高尔基体途径实现的分泌途径 - 由信号序列介导 - 被称为“经典分泌”。相比之下,其他分泌途径被概括为“非经典蛋白分泌”。到目前为止,由于缺乏详细的机制见解和有限的实验途径,非经典蛋白分泌一直缺乏关注。然而,越来越多的实验数据表明,很大一部分分泌蛋白是通过这些替代途径释放的。分泌组学 - 对细胞群体中所有分泌蛋白的分析 - 为深入了解非经典蛋白分泌提供了机会。在开始分析细胞模型和样品制备到数据分析时,需要考虑到分泌组分析中的几个陷阱,以详细描述分泌组。在这里,我们强调了通过定量 LC-MS/MS 分析研究分泌组,并讨论了通过分泌组分析表征非经典分泌蛋白的陷阱和机会。

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