预测酵母中新的候选朊病毒

Shattuck J, Waetcher A, Ross E.
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摘要

朊病毒是一种传染性蛋白质,能够在生物体之间自我繁殖和传播。尽管在酵母中没有与哺乳动物朊蛋白同源的蛋白,但一些可溶性蛋白可以形成可遗传的聚集体。这些蛋白质提供了一个模型系统来研究朊病毒原纤维形成过程中的成核、聚集和繁殖步骤。已经开发了几种朊病毒预测算法来预测具有形成朊病毒倾向的酵母蛋白。其中一种算法以前是在我们的实验室开发的(朊病毒聚集预测算法,PAPA, Toombs et al., 2012)。因此,我们使用PAPA扫描酵母蛋白质组,以提取含有预测具有朊病毒活性结构域(朊病毒样结构域)的蛋白质。这些朊病毒样结构域将在四种朊病毒活性测定中进行测试,以评估它们在体内和体外的活性。在这里,我们提供了初步的证据,我们成功地预测了在体内呈现朊病毒活性的酵母蛋白。在对这些朊病毒样结构域进行表征后,我们将使用显微镜以及开发表型分析来测试各自的全长蛋白的朊病毒活性。最终,我们可能会在酵母中发现新的候选朊病毒,这将有助于了解朊病毒形成所需的参数,并深入了解朊病毒在酵母中的功能。此外,通过证实PAPA从酵母蛋白质组预测朊病毒蛋白的能力,它允许将这种方法应用于其他蛋白质组的可能性。
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Predicting New Prion Candidates in Yeast

Prions are infectious proteins capable of self-propagating and transmitting between organisms. Even though there is no homolog to the mammalian prion protein in yeast, several soluble proteins can form heritable aggregates de novo. These proteins provide a model system to investigate the nucleation, aggregation and propagation steps involved in the formation of a prion fibril. Several prion prediction algorithms have been developed to predict yeast proteins that have the propensity to form prions. One of these algorithms was previously developed in our laboratory (Prion Aggregation Prediction Algorithm, PAPA, Toombs et al., 2012). Therefore, we used PAPA to scan the yeast proteome to extract proteins that contain domains predicted to have prion activity (prion-like domains). These prion-like domains will be tested in four prion activity assays to assess their activity in vivo as well as in vitro. Here we provide preliminary evidence that we are successful at predicting yeast proteins that present prion activity in vivo. Following characterization of these prion-like domains, we will test the respective full-length proteins for prion activity using microscopy as well as developing phenotypic assays. Ultimately, we may identify new prion candidates in yeast, which will contribute information about the parameters necessary for prion formation and insight into the functions prions play in yeast. In addition, by confirming PAPA’s ability to predict prion proteins from the yeast proteome, it allows the possibility to apply this methodology to other proteomes.

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Contents Editorial Board Improving disease diagnosis by a new hybrid model Pros, cons and future of antibiotics Abstracts: 5th Annual Congress of the European Society for Translational Medicine (EUSTM-2017), 20-22 October 2017, Berlin, Germany
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