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首页> 外文期刊>Proteins: Structure, Function, and Genetics >Computational analysis of the S. cerevisiae proteome reveals the function and cellular localization of the least and most amyloidogenic proteins.
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Computational analysis of the S. cerevisiae proteome reveals the function and cellular localization of the least and most amyloidogenic proteins.

机译:酿酒酵母蛋白质组的计算分析揭示了淀粉样蛋白最少和最多的功能和细胞定位。

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摘要

Protein sequences have evolved to optimize biological function that usually requires a well-defined three-dimensional structure and a monomeric (or oligomeric) state. These two requirements may be in conflict as the propensity for beta-sheet structure, which is one of the two most common regular conformations of the polypeptide chain in folded proteins, favors also the formation of ordered aggregates of multiple copies of the same protein (fibril, i.e., polymeric state). Such beta-aggregation is typical of amyloid diseases that include Alzheimer's, Parkinson's, and type II diabetes as well as the spongiform encephalopathies. Here, an analytical model previously developed for evaluating the amyloidogenic potential of polypeptides is applied to the proteome of the budding yeast (Saccharomyces cerevisiae). The model is based on the physicochemical properties that are relevant for beta-aggregation and requires only the protein sequence as input. It is shown that beta-aggregation prone proteins in yeast areaccrued in molecular transport, protein biosynthesis, and cell wall organization processes while they are underrepresented in ribosome biogenesis, RNA metabolism, and vitamin metabolism. Furthermore, beta-aggregation prone proteins are much more abundant in the cell wall, endoplasmic reticulum, and plasma membrane than in the nucleolus, ribosome, and nucleus. Thus, this study indicates that evolution has not only prevented the selection of amyloidogenic sequences in cellular compartments characterized by a high concentration of unfolded proteins but also tried to exploit the beta-aggregated state for certain functions (e.g. molecular transport) and in well-confined cellular environments or organelles to protect the rest of the cell from toxic (pre-)fibrillar species.
机译:蛋白质序列已经进化为优化通常需要良好定义的三维结构和单体(或寡聚)状态的生物学功能。这两个要求可能会冲突,因为β-sheet结构的倾向是折叠蛋白中多肽链的两个最常见的规则构象之一,也有利于形成同一蛋白的多个拷贝的有序聚集体(原纤维,即聚合状态)。这种β聚集是淀粉样疾病的典型特征,包括阿尔茨海默氏病,帕金森氏病和II型糖尿病以及海绵状脑病。在此,先前开发的用于评估多肽的淀粉样蛋白生成潜力的分析模型被应用于发芽酵母(Saccharomyces cerevisiae)的蛋白质组中。该模型基于与β聚集相关的理化特性,仅需要蛋白质序列作为输入。结果表明,酵母中易于发生β聚集的蛋白质在分子运输,蛋白质生物合成和细胞壁组织过程中积累,而在核糖体生物发生,RNA代谢和维生素代谢中却不足以被表达。此外,与细胞核,核糖体和细胞核相比,在细胞壁,内质网和质膜中β易于聚集的蛋白质要丰富得多。因此,这项研究表明,进化不仅阻止了以高浓度未折叠蛋白为特征的细胞区室中淀粉样蛋白生成序列的选择,而且还试图利用β聚集态实现某些功能(例如分子转运)并在有限范围内发挥作用。细胞环境或细胞器,以保护细胞的其余部分免受有毒(前)原纤维物种的侵害。

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