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与心脏疾病相关的KLF基因非同义变异的生物信息学分析

Bioinformatics analysis of non-synonymous variants in the KLF genes related to cardiac diseases.

作者信息

Ferreira Katyana Kaline Silva, de Morais Gomes Enéas Ricardo, de Lima Filho José Luiz, Castelletti Carlos Henrique Madeiros, Martins Danyelly Bruneska Gondim

机构信息

Molecular Prospection and Bioinformatics Group (ProspecMol), Laboratory of Immunopathology Keizo Asami (LIKA), Federal University of Pernambuco (UFPE), Av. Prof. Moraes Rego s/n, Recife, PE 50670-901, Brazil.

Department of Biotechnology, Center of Biotechnology, Federal University of Paraíba (UFPB), Cidade Universitária, Campus I s/n, João Pessoa, PB 58051-900, Brazil.

出版信息

Gene. 2018 Apr 15;650:68-76. doi: 10.1016/j.gene.2018.01.085. Epub 2018 Feb 2.

Abstract

Kruppel-like Factors (KLF) are responsible for regulating many genes involved in physiological and pathological processes. They are characterized by three conserved zinc-fingers in the DNA-binding domain, wherein mutations could affect the binding efficiency and transcription regulation. This study aimed to perform bioinformatics analysis to determine the most deleterious non-synonymous variants in KLFs involved in cardiac development and diseases, and their effects over the protein structure and stability. Eight hundred and fifty non-synonymous variants were found in seven KLFs related to cardiac diseases. Seventeen algorithms were used to predict the effect of selected variants over the structure and function of seven KLFs. The Top3 variants were selected in each category of conserved and non-conserved residues in the zinc-finger (ZF) domain. KLF5 p.Cys410Phe was the only variant predicted as deleterious in all algorithms, occurring in a conserved residue of zinc ion interaction. KLF15 p.Arg364Pro was the only variant predicted to affect the DNA-binding, and also occurs in a conserved ZF-domain. Our bioinformatics analysis determined potential variants that may lead to development of cardiac diseases, as well as reinforced the importance of KLF analysis in vitro and in vivo.

摘要

克鲁ppel样因子(KLF)负责调控许多参与生理和病理过程的基因。它们的特征是在DNA结合域中有三个保守的锌指结构,其中的突变可能会影响结合效率和转录调控。本研究旨在进行生物信息学分析,以确定参与心脏发育和疾病的KLF中最有害的非同义变体,以及它们对蛋白质结构和稳定性的影响。在与心脏病相关的7种KLF中发现了850个非同义变体。使用17种算法预测所选变体对7种KLF的结构和功能的影响。在锌指(ZF)结构域的保守和非保守残基的每一类中选择前3个变体。KLF5 p.Cys410Phe是所有算法中唯一被预测为有害的变体,出现在锌离子相互作用的保守残基中。KLF15 p.Arg364Pro是唯一被预测会影响DNA结合的变体,也出现在保守的ZF结构域中。我们的生物信息学分析确定了可能导致心脏病发生的潜在变体,并强化了KLF在体外和体内分析的重要性。

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