Suppr超能文献

人类蛋白质相互作用的数量与相应基因的结构保守性相关,但与调控保守性无关。

Number of human protein interactions correlates with structural, but not regulatory conservation of the respective genes.

作者信息

Mekic Rijalda, Zolotovskaia Marianna A, Sorokin Maksim, Mohammad Tharaa, Shaban Nina, Musatov Ivan, Tkachev Victor, Modestov Alexander, Simonov Alexander, Kuzmin Denis, Buzdin Anton

机构信息

Laboratory for Translational Genomic Bioinformatics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia.

Moscow Center for Advanced Studies, Moscow, Russia.

出版信息

Front Genet. 2024 Oct 29;15:1472638. doi: 10.3389/fgene.2024.1472638. eCollection 2024.

Abstract

INTRODUCTION

The differential ratio of nonsynonymous to synonymous nucleotide substitutions (dN/dS) is a common measure of the rate of structural evolution in proteincoding genes. In addition, we recently suggested that the proportion of transposable elements in gene promoters that host functional genomic sites serves as a marker of the rate of regulatory evolution of genes. Such functional genomic regions may include transcription factor binding sites and modified histone binding loci.

METHODS

Here, we constructed a model of the human interactome based on 600,136 documented molecular interactions and investigated the overall relationship between the number of interactions of each protein and the rate of structural and regulatory evolution of the corresponding genes.

RESULTS

By evaluating a total of 4,505 human genes and 1,936 molecular pathways we found a general correlation between structural and regulatory evolution rate metrics (Spearman 0.08-0.16 and 0.25-0.37 for gene and pathway levels, respectively, < 0.01). Further exploration revealed in the established human interactome model lack of correlation between the rate of gene regulatory evolution and the number of protein interactions on gene level, and weak negative correlation (∼0.15) on pathway level. We also found a statistically significant negative correlation between the rate of gene structural evolution and the number of protein interactions (Spearman -0.11 and -0.3 for gene and pathway levels, respectively, < 0.01).

DISCUSSION

Our result suggests stronger structural rather than regulatory conservation of genes whose protein products have multiple interaction partners.

摘要

引言

非同义核苷酸替换与同义核苷酸替换的差异比率(dN/dS)是衡量蛋白质编码基因结构进化速率的常用指标。此外,我们最近提出,在含有功能性基因组位点的基因启动子中转座元件的比例可作为基因调控进化速率的一个标志。此类功能性基因组区域可能包括转录因子结合位点和修饰的组蛋白结合位点。

方法

在此,我们基于600,136个已记录的分子相互作用构建了一个人类相互作用组模型,并研究了每种蛋白质的相互作用数量与相应基因的结构和调控进化速率之间的整体关系。

结果

通过评估总共4505个人类基因和1936条分子途径,我们发现结构和调控进化速率指标之间存在普遍相关性(基因和途径水平的斯皮尔曼相关系数分别为0.08 - 0.16和0.25 - 0.37,P < 0.01)。进一步探究发现在已建立的人类相互作用组模型中,基因调控进化速率与基因水平上的蛋白质相互作用数量之间缺乏相关性,而在途径水平上存在较弱的负相关性(约为0.15)。我们还发现基因结构进化速率与蛋白质相互作用数量之间存在统计学上显著的负相关性(基因和途径水平的斯皮尔曼相关系数分别为 - 0.11和 - 0.3,P < 0.01)。

讨论

我们的结果表明,其蛋白质产物具有多个相互作用伙伴的基因在结构上而非调控上具有更强的保守性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e4d/11554504/7e2390b1baac/fgene-15-1472638-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验