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蛋白质组范围内对同源重复富集与蛋白质聚集特性之间关系的理解。

Proteome-scale understanding of relationship between homo-repeat enrichments and protein aggregation properties.

机构信息

Group of Bioinformatics, Institute of Protein Research, Russian Academy of Science, Pushchino, Moscow Region, Russia.

出版信息

PLoS One. 2018 Nov 6;13(11):e0206941. doi: 10.1371/journal.pone.0206941. eCollection 2018.

DOI:10.1371/journal.pone.0206941
PMID:30399196
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6219797/
Abstract

Expansion of homo-repeats is a molecular basis for human neurological diseases. We are the first who studied the influence of homo-repeats with lengths larger than four amino acid residues on the aggregation properties of 1449683 proteins across 122 eukaryotic and bacterial proteomes. Only 15% of proteins (215481) include homo-repeats of such length. We demonstrated that RNA-binding proteins with a prion-like domain are enriched with homo-repeats in comparison with other non-redundant protein sequences and those in the PDB. We performed a bioinformatics analysis for these proteins and found that proteins with homo-repeats are on average two times longer than those in the whole database. Moreover, we are first to discover that as a rule, homo-repeats appear in proteins not alone but in pairs: hydrophobic and aromatic homo-repeats appear with similar ones, while homo-repeats with small, polar and charged amino acids appear together with different preferences. We elaborated a new complementary approach to demonstrate the influence of homo-repeats on their host protein aggregation properties. We have shown that addition of artificial homo-repeats to natural and random proteins results in intensification of aggregation properties of the proteins. The maximal effect is observed for the insertion of artificial homo-repeats with 5-6 residues, which is consistent with the minimal length of an amyloidogenic region. We have also demonstrated that the ability of proteins with homo-repeats to aggregate cannot be explained only by the presence of long homo-repeats in them. There should be other characteristics of proteins intensifying the aggregation property including such as the appearance of homo-repeats in pairs in the same protein. We are the first who elaborated a new approach to study the influence of homo-repeats present in proteins on their aggregation properties and performed an appropriate analysis of the large number of proteomes and proteins.

摘要

同源重复的扩展是人类神经疾病的分子基础。我们是第一个研究长度大于四个氨基酸残基的同源重复对 122 个真核和细菌蛋白质组中的 1449683 种蛋白质聚集特性影响的人。只有 15%的蛋白质(215481 个)包含这种长度的同源重复。我们证明,与其他非冗余蛋白质序列和 PDB 中的蛋白质相比,具有类朊结构域的 RNA 结合蛋白富含这种同源重复。我们对这些蛋白质进行了生物信息学分析,发现同源重复的蛋白质的平均长度是整个数据库中蛋白质的两倍。此外,我们首次发现,作为一种规则,同源重复通常不是单独出现,而是成对出现:疏水性和芳香族同源重复与相似的同源重复一起出现,而具有小、极性和带电氨基酸的同源重复则与不同的偏好一起出现。我们详细阐述了一种新的互补方法来证明同源重复对其宿主蛋白质聚集特性的影响。我们已经表明,向天然和随机蛋白质中添加人工同源重复会增强蛋白质的聚集特性。对于插入具有 5-6 个残基的人工同源重复,观察到最大效果,这与淀粉样蛋白区域的最小长度一致。我们还表明,具有同源重复的蛋白质的聚集能力不能仅通过它们中存在长同源重复来解释。蛋白质中存在的其他特征也会增强其聚集特性,包括在同一蛋白质中同源重复的成对出现。我们是第一个详细阐述一种新方法来研究蛋白质中存在的同源重复对其聚集特性的影响,并对大量蛋白质组和蛋白质进行适当分析的人。

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本文引用的文献

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PLoS Comput Biol. 2018 Sep 24;14(9):e1006256. doi: 10.1371/journal.pcbi.1006256. eCollection 2018 Sep.
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Intrinsic Disorder in Proteins with Pathogenic Repeat Expansions.具有致病重复扩展的蛋白质中的内源性无序
Molecules. 2017 Nov 24;22(12):2027. doi: 10.3390/molecules22122027.
3
Advances in the Prediction of Protein Aggregation Propensity.蛋白质聚集倾向预测的研究进展。
Int J Mol Sci. 2020 Jul 22;21(15):5199. doi: 10.3390/ijms21155199.
4
The importance of definitions in the study of polyQ regions: A tale of thresholds, impurities and sequence context.多聚谷氨酰胺区域研究中定义的重要性:阈值、杂质与序列背景的故事
Comput Struct Biotechnol J. 2020 Feb 4;18:306-313. doi: 10.1016/j.csbj.2020.01.012. eCollection 2020.
Curr Med Chem. 2019;26(21):3911-3920. doi: 10.2174/0929867324666170705121754.
4
Non-random distribution of homo-repeats: links with biological functions and human diseases.同聚物重复序列的非随机分布:与生物学功能及人类疾病的联系
Sci Rep. 2016 Jun 3;6:26941. doi: 10.1038/srep26941.
5
How Common Is Disorder? Occurrence of Disordered Residues in Four Domains of Life.该病症有多常见?生命四个领域中无序残基的出现情况。
Int J Mol Sci. 2015 Aug 18;16(8):19490-507. doi: 10.3390/ijms160819490.
6
Computational Approaches to Identification of Aggregation Sites and the Mechanism of Amyloid Growth.识别聚集位点及淀粉样蛋白生长机制的计算方法
Adv Exp Med Biol. 2015;855:213-39. doi: 10.1007/978-3-319-17344-3_9.
7
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Mol Biosyst. 2015 Aug;11(8):2210-8. doi: 10.1039/c5mb00273g.
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A structure-based approach to predict predisposition to amyloidosis.基于结构的预测淀粉样变性倾向的方法。
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PASTA 2.0: an improved server for protein aggregation prediction.PASTA 2.0:改进的蛋白质聚集预测服务器。
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FISH Amyloid - a new method for finding amyloidogenic segments in proteins based on site specific co-occurrence of aminoacids.FISH 淀粉样变——一种基于氨基酸特定共现的发现蛋白质中淀粉样肽段的新方法。
BMC Bioinformatics. 2014 Feb 24;15:54. doi: 10.1186/1471-2105-15-54.