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使用定量蛋白质组学进行全局细胞内蛋白质降解分析。

Global subcellular characterization of protein degradation using quantitative proteomics.

机构信息

Centre for Gene Regulation and Expression, College of Life Sciences, University of Dundee, Dow St, Dundee, United Kingdom.

出版信息

Mol Cell Proteomics. 2013 Mar;12(3):638-50. doi: 10.1074/mcp.M112.024547. Epub 2012 Dec 12.

Abstract

Protein degradation provides an important regulatory mechanism used to control cell cycle progression and many other cellular pathways. To comprehensively analyze the spatial control of protein degradation in U2OS osteosarcoma cells, we have combined drug treatment and SILAC-based quantitative mass spectrometry with subcellular and protein fractionation. The resulting data set analyzed more than 74,000 peptides, corresponding to ~5000 proteins, from nuclear, cytosolic, membrane, and cytoskeletal compartments. These data identified rapidly degraded proteasome targets, such as PRR11 and highlighted a feedback mechanism resulting in translation inhibition, induced by blocking the proteasome. We show this is mediated by activation of the unfolded protein response. We observed compartment-specific differences in protein degradation, including proteins that would not have been characterized as rapidly degraded through analysis of whole cell lysates. Bioinformatic analysis of the entire data set is presented in the Encyclopedia of Proteome Dynamics, a web-based resource, with proteins annotated for stability and subcellular distribution.

摘要

蛋白质降解提供了一种重要的调控机制,用于控制细胞周期进程和许多其他细胞途径。为了全面分析 U2OS 骨肉瘤细胞中蛋白质降解的空间控制,我们将药物处理和 SILAC 定量质谱与亚细胞和蛋白质分级分离相结合。该数据集分析了超过 74000 个肽段,对应于约 5000 种蛋白质,来自核、胞质、膜和细胞骨架区室。这些数据鉴定了快速降解的蛋白酶体靶标,如 PRR11,并强调了一种反馈机制,通过阻断蛋白酶体导致翻译抑制。我们表明这是由未折叠蛋白反应的激活介导的。我们观察到蛋白质降解的区室特异性差异,包括通过分析整个细胞裂解物不会被表征为快速降解的蛋白质。整个数据集的生物信息学分析已在基于网络的资源“蛋白质组动力学百科全书”中呈现,其中蛋白质的稳定性和亚细胞分布得到注释。

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