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蛋白质与疾病之间有害和良性氨基酸替换比例存在巨大差异。

Large differences in proportions of harmful and benign amino acid substitutions between proteins and diseases.

作者信息

Schaafsma Gerard C P, Vihinen Mauno

机构信息

Protein Structure and Bioinformatics, Department of Experimental Medical Science, Lund University, Lund, Sweden.

出版信息

Hum Mutat. 2017 Jul;38(7):839-848. doi: 10.1002/humu.23236. Epub 2017 May 30.

Abstract

Genes and proteins are known to have differences in their sensitivity to alterations. Despite numerous sequencing studies, proportions of harmful and harmless substitutions are not known for proteins and groups of proteins. To address this question, we predicted the outcome for all possible single amino acid substitutions (AASs) in nine representative protein groups by using the PON-P2 method. The effects on 996 proteins were studied and vast differences were noticed. Proteins in the cancer group harbor the largest proportion of harmful variants (42.1%), whereas the non-disease group of proteins not known to have a disease association and not involved in the housekeeping functions had the lowest number of harmful variants (4.2%). Differences in the proportions of the harmful and benign variants are wide within each group, but they still show clear differences between the groups. Frequently appearing protein domains show a wide spectrum of variant frequencies, whereas no major protein structural class-specific differences were noticed. AAS types in the original and variant residues showed distinctive patterns, which are shared by all the protein groups. The observations are relevant for understanding genetic bases of diseases, variation interpretation, and for the development of methods for that purpose.

摘要

已知基因和蛋白质对改变的敏感性存在差异。尽管进行了大量测序研究,但蛋白质及蛋白质组中有害和无害替换的比例仍不清楚。为解决这个问题,我们使用PON-P2方法预测了九个代表性蛋白质组中所有可能的单氨基酸替换(AAS)的结果。研究了对996种蛋白质的影响,并注意到了巨大差异。癌症组中的蛋白质含有最大比例的有害变体(42.1%),而未知有疾病关联且不参与管家功能的非疾病蛋白质组中有害变体的数量最少(4.2%)。每组中有害和良性变体的比例差异很大,但组间仍存在明显差异。频繁出现的蛋白质结构域显示出广泛的变体频率谱,而未注意到主要蛋白质结构类别的特异性差异。原始和变体残基中的AAS类型显示出独特的模式,所有蛋白质组均有此特征。这些观察结果对于理解疾病的遗传基础、变异解读以及为此目的开发方法具有重要意义。

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