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元降解组学:迈向癌症蛋白质组蛋白水解后翻译修饰的体内定量降解组学

Metadegradomics: toward in vivo quantitative degradomics of proteolytic post-translational modifications of the cancer proteome.

作者信息

Doucet Alain, Butler Georgina S, Rodríguez David, Prudova Anna, Overall Christopher M

机构信息

Centre for Blood Research, 4.401 Life Sciences Institute, University of British Columbia, 2350 Health Sciences Mall, Vancouver, British Columbia V6T 1Z3, Canada.

出版信息

Mol Cell Proteomics. 2008 Oct;7(10):1925-51. doi: 10.1074/mcp.R800012-MCP200. Epub 2008 Jul 2.

Abstract

Post-translational modifications enable extra layers of control of the proteome, and perhaps the most important is proteolysis, a major irreversible modification affecting every protein. The intersection of the protease web with a proteome sculpts that proteome, dynamically modifying its state and function. Protease expression is distorted in cancer, so perturbing signaling pathways and the secretome of the tumor and reactive stromal cells. Indeed many cancer biomarkers are stable proteolytic fragments. It is crucial to determine which proteases contribute to the pathology versus their roles in homeostasis and in mitigating cancer. Thus the full substrate repertoire of a protease, termed the substrate degradome, must be deciphered to define protease function and to identify drug targets. Degradomics has been used to identify many substrates of matrix metalloproteinases that are important proteases in cancer. Here we review recent degradomics technologies that allow for the broadly applicable identification and quantification of proteases (the protease degradome) and their activity state, substrates, and interactors. Quantitative proteomics using stable isotope labeling, such as ICAT, isobaric tags for relative and absolute quantification (iTRAQ), and stable isotope labeling by amino acids in cell culture (SILAC), can reveal protease substrates by taking advantage of the natural compartmentalization of membrane proteins that are shed into the extracellular space. Identifying the actual cleavage sites in a complex proteome relies on positional proteomics and utilizes selection strategies to enrich for protease-generated neo-N termini of proteins. In so doing, important functional information is generated. Finally protease substrates and interactors can be identified by interactomics based on affinity purification of protease complexes using exosite scanning and inactive catalytic domain capture strategies followed by mass spectrometry analysis. At the global level, the N terminome analysis of whole communities of proteases in tissues and organs in vivo provides a full scale understanding of the protease web and the web-sculpted proteome, so defining metadegradomics.

摘要

翻译后修饰能够实现对蛋白质组的额外控制层面,其中或许最重要的是蛋白质水解,这是一种影响每一种蛋白质的主要不可逆修饰。蛋白酶网络与蛋白质组的交叉塑造了该蛋白质组,动态地改变其状态和功能。蛋白酶表达在癌症中发生畸变,从而扰乱肿瘤和反应性基质细胞的信号通路及分泌组。实际上,许多癌症生物标志物都是稳定的蛋白水解片段。确定哪些蛋白酶促成病理过程,而不是它们在体内平衡和减轻癌症方面的作用,至关重要。因此,必须解读蛋白酶的完整底物库(称为底物降解组),以界定蛋白酶功能并识别药物靶点。降解组学已用于识别基质金属蛋白酶的许多底物,而基质金属蛋白酶是癌症中的重要蛋白酶。在此,我们综述了近期的降解组学技术,这些技术可广泛用于识别和定量蛋白酶(蛋白酶降解组)及其活性状态、底物和相互作用分子。使用稳定同位素标记的定量蛋白质组学,如同位素亲和标签(ICAT)、相对和绝对定量的等压标签(iTRAQ)以及细胞培养中氨基酸的稳定同位素标记(SILAC),可以利用脱落到细胞外空间的膜蛋白的天然区室化来揭示蛋白酶底物。在复杂蛋白质组中识别实际的切割位点依赖于定位蛋白质组学,并利用选择策略富集蛋白酶产生的蛋白质新N端。这样做会产生重要的功能信息。最后,蛋白酶底物和相互作用分子可以通过基于蛋白酶复合物亲和纯化的相互作用组学来识别,采用外位点扫描和无活性催化结构域捕获策略,随后进行质谱分析。在整体水平上,对体内组织和器官中整个蛋白酶群体的N端蛋白质组分析可全面了解蛋白酶网络以及由该网络塑造的蛋白质组,从而定义元降解组学。

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