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本文引用的文献

1
De novo design of a biologically active amyloid.从头设计具有生物活性的淀粉样蛋白。
Science. 2016 Nov 11;354(6313). doi: 10.1126/science.aah4949.
2
Intrinsically Disordered Proteins Drive Emergence and Inheritance of Biological Traits.内在无序蛋白质驱动生物性状的出现和遗传。
Cell. 2016 Oct 6;167(2):369-381.e12. doi: 10.1016/j.cell.2016.09.017. Epub 2016 Sep 29.
3
Characterization of Amyloid Cores in Prion Domains.朊病毒结构域中淀粉样蛋白核心的表征
Sci Rep. 2016 Sep 30;6:34274. doi: 10.1038/srep34274.
4
The evolutionary scope and neurological disease linkage of yeast-prion-like proteins in humans.人类中酵母朊病毒样蛋白的进化范围与神经疾病关联
Biol Direct. 2016 Jul 26;11:32. doi: 10.1186/s13062-016-0134-5.
5
Yeast and Fungal Prions: Amyloid-Handling Systems, Amyloid Structure, and Prion Biology.酵母与真菌朊病毒:淀粉样蛋白处理系统、淀粉样蛋白结构及朊病毒生物学
Adv Genet. 2016;93:191-236. doi: 10.1016/bs.adgen.2015.12.003. Epub 2016 Jan 22.
6
Prions: what are they good for?朊病毒:它们有什么用?
Annu Rev Cell Dev Biol. 2015;31:149-69. doi: 10.1146/annurev-cellbio-100913-013409. Epub 2015 Sep 24.
7
Enhanced molecular mobility of ordinarily structured regions drives polyglutamine disease.普通结构区域增强的分子流动性驱动聚谷氨酰胺疾病。
J Biol Chem. 2015 Oct 2;290(40):24190-200. doi: 10.1074/jbc.M115.659532. Epub 2015 Aug 10.
8
Amyloids or prions? That is the question.淀粉样蛋白还是朊病毒?这就是问题所在。
Prion. 2015;9(3):200-6. doi: 10.1080/19336896.2015.1053685.
9
PrionW: a server to identify proteins containing glutamine/asparagine rich prion-like domains and their amyloid cores.PrionW:一个用于识别含有富含谷氨酰胺/天冬酰胺的类朊病毒结构域及其淀粉样核心的蛋白质的服务器。
Nucleic Acids Res. 2015 Jul 1;43(W1):W331-7. doi: 10.1093/nar/gkv490. Epub 2015 May 14.
10
Examination of Ataxin-3 (atx-3) Aggregation by Structural Mass Spectrometry Techniques: A Rationale for Expedited Aggregation upon Polyglutamine (polyQ) Expansion.利用结构质谱技术检测ataxin-3(atx-3)聚集:聚谷氨酰胺(polyQ)扩增后加速聚集的原理
Mol Cell Proteomics. 2015 May;14(5):1241-53. doi: 10.1074/mcp.M114.044610. Epub 2015 Feb 19.

朊病毒结构域中的淀粉样核心:朊病毒构象转化的关键调节因子。

Amyloid cores in prion domains: Key regulators for prion conformational conversion.

作者信息

Fernández María Rosario, Batlle Cristina, Gil-García Marcos, Ventura Salvador

机构信息

a Institut de Biotecnologia i de Biomedicina and Departament de Bioquímica i Biologia Molecular , Universitat Autonoma de Barcelona , Bellaterra (Barcelona) , Spain.

出版信息

Prion. 2017 Jan 2;11(1):31-39. doi: 10.1080/19336896.2017.1282020.

DOI:10.1080/19336896.2017.1282020
PMID:28281928
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5360117/
Abstract

Despite the significant efforts devoted to decipher the particular protein features that encode for a prion or prion-like behavior, they are still poorly understood. The well-characterized yeast prions constitute an ideal model system to address this question, because, in these proteins, the prion activity can be univocally assigned to a specific region of their sequence, known as the prion forming domain (PFD). These PFDs are intrinsically disordered, relatively long and, in many cases, of low complexity, being enriched in glutamine/asparagine residues. Computational analyses have identified a significant number of proteins having similar domains in the human proteome. The compositional bias of these regions plays an important role in the transition of the prions to the amyloid state. However, it is difficult to explain how composition alone can account for the formation of specific contacts that position correctly PFDs and provide the enthalpic force to compensate for the large entropic cost of immobilizing these domains in the initial assemblies. We have hypothesized that short, sequence-specific, amyloid cores embedded in PFDs can perform these functions and, accordingly, act as preferential nucleation centers in both spontaneous and seeded aggregation. We have shown that the implementation of this concept in a prediction algorithm allows to score the prion propensities of putative PFDs with high accuracy. Recently, we have provided experimental evidence for the existence of such amyloid cores in the PFDs of Sup35, Ure2, Swi1, and Mot3 yeast prions. The fibrils formed by these short stretches may recognize and promote the aggregation of the complete proteins inside cells, being thus a promising tool for targeted protein inactivation.

摘要

尽管人们付出了巨大努力来破译编码朊病毒或朊病毒样行为的特定蛋白质特征,但对它们的了解仍然很少。特征明确的酵母朊病毒构成了一个理想的模型系统来解决这个问题,因为在这些蛋白质中,朊病毒活性可以明确地归因于其序列中的一个特定区域,即朊病毒形成结构域(PFD)。这些PFD本质上是无序的,相对较长,并且在许多情况下复杂度较低,富含谷氨酰胺/天冬酰胺残基。计算分析已经在人类蛋白质组中鉴定出大量具有相似结构域的蛋白质。这些区域的组成偏差在朊病毒向淀粉样状态的转变中起着重要作用。然而,仅靠组成很难解释如何形成特定的接触,从而正确定位PFD,并提供焓力来补偿在初始组装中固定这些结构域所产生的巨大熵成本。我们推测,嵌入PFD中的短的、序列特异性的淀粉样核心可以执行这些功能,因此在自发聚集和接种聚集过程中充当优先成核中心。我们已经表明,在预测算法中实施这一概念可以高精度地对假定的PFD的朊病毒倾向进行评分。最近,我们提供了实验证据,证明在Sup35、Ure2、Swi1和Mot3酵母朊病毒的PFD中存在这种淀粉样核心。由这些短片段形成的纤维可能识别并促进细胞内完整蛋白质的聚集,因此是一种有前途的靶向蛋白质失活工具。