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Deciphering the mechanism of the human proteasome by mass photometry

Deciphering the mechanism of the human proteasome by mass photometry
通过质量光度法破译人类蛋白酶体的机制
批准号:
455633413
负责人:
Dr. Emanuel Pfitzner
金额:
$0.0万
依托单位国家:
德国
项目类别:
WBP Fellowship
财政年份:
2020
资助国家:
德国
项目状态:
已结题
起止时间:
2019-12-31 至 2022-12-31

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中文摘要
翻译
在每个真核细胞中,蛋白酶体是负责多肽降解的重要分子机器。它将蛋白质分解成可重复使用的氨基酸,并防止肽积累成有毒的聚集体。为此,蛋白酶体识别由泛素标签标记的蛋白质,并将它们拉入其催化腔中进行降解。蛋白酶体是许多调节途径的核心部分,因为它有助于调节蛋白质的相对浓度。这使得它成为治疗神经退行性疾病或癌症等蛋白质降解失调细胞的理想药物靶点。对于靶向药物的设计,深入了解泛素与蛋白酶体识别位点之间的相互作用以及蛋白酶体的催化作用是必不可少的。虽然人类26 S蛋白酶体已经研究了几十年,但动力学数据几乎不可用,并且需要大量不同技术的合并结果。因此,对底物识别、结合和靶向降解的全面理解仍然是难以捉摸的。这是由于这样一个事实,主要是散装实验,这不允许跟踪复杂的催化程序的26 S蛋白酶体。在所描述的研究action,我将利用一种新的技术,它检测光散射的单分子,而不需要引入人工标签:干涉散射显微镜(iSCAT)。当与适当的校准相结合时,这种技术-称为质量光度法(MP)-可以在几秒钟内以高达数十kDa的精度确定蛋白质的质量。质量光度法将使我能够研究底物和26 S蛋白酶体之间的相互作用。我的目的是分析底物的结合蛋白酶体和下游处理步骤的去泛素化,以及蛋白水解在一个基于单分子的测定取决于泛素标签的质量。首先,我将应用MP通过获得泛素化底物和蛋白酶体的平衡质量分布来确定平均结合亲和力和去泛素化/蛋白水解速率。在第二组实验中,将在快速混合后测量溶液中蛋白质复合物的质量分布作为时间的函数。这将为结合后的过程(去泛素化和蛋白水解)产生单独的动力学信息。第三,我将蛋白酶体固定在一个界面上,并在上面的溶液中提供底物。这将允许以下完整的催化循环在实时的分子水平上的一致的实验design.The描述的实验将有一个直接的影响,我们对蛋白酶体降解过程的理解:一个详细的机械和动力学描述的整个催化循环。这将激发神经退行性疾病和癌症研究中药物设计的新概念。
英文摘要
In every eukaryotic cell, the proteasome is a vital molecular machine responsible for degradation of polypeptides. It recycles proteins into reusable amino acids and prevents accumulation of peptides into toxic aggregates. For this, the proteasome recognizes proteins flagged by a ubiquitin tag and pulls them in its catalytic lumen for degradation. The proteasome is a central part of many regulatory pathways as it facilitates adjusting the relative concentrations of proteins. This renders it an ideal target for drugs addressing cells which suffer from miss-regulated protein degradation, e.g. caused by neurodegenerative diseases or cancer.For targeted drug design, a profound understanding of the interaction between ubiquitin and the proteasomal recognition sites as well as the proteasome’s catalytic action is essential. Although the human 26S proteasome is being studied for several decades, kinetic data is barely available and requires merging results of an immense amount of different techniques. Consequently, a comprehensive understanding of substrate recognition, binding, and targeted degradation remains elusive. This is due to the fact that mainly bulk experiments are available, which do not allow tracking the complex catalytic proceedings of the 26S proteasome.In the described research action, I will make use of a novel technique, which detects light scattered by single molecules without the need for introducing artificial labels: interferometric scattering microscopy (iSCAT). When combined with a suitable calibration, this technique –termed mass photometry (MP)– enables determining the mass of proteins at a precision of up to tens of kDa and within few seconds.Mass photometry will allow me to study the interaction between substrates and the 26S proteasome. I aim to analyze binding of substrates to the proteasome and the downstream processing steps of deubiquitylation as well as proteolysis in a single-molecule-based assay depending on the quality of the ubiquitin tag. First, I will apply MP to determine the average binding affinities and deubiquitylation/proteolysis rates by acquiring equilibrium mass distributions of ubiquitylated substrates and proteasomes. In a second set of experiments, the mass distribution of the protein complexes in solution will be measured as a function of time after rapid mixing. This will yield separate kinetic information for the processes after binding (deubiquitylation and proteolysis). Thirdly, I will immobilize the proteasome on an interface and supply substrates in the solution on top. This will allow following the complete catalytic cycle in real-time on a molecular level within a consistent experimental design.The described experiments will have an immediate impact on our understanding of proteasomal degradation processes: a detailed mechanistic and kinetic description of the whole catalytic cycle. This will stimulate novel concepts for the design of drugs in neurodegenerative and cancer research.
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