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

Gene

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; Laboratory of Immunopathology Keizo Asami (LIKA), Federal University of Pernambuco (UFPE), Av. Prof. Moraes Rego s/n, Recife, PE 50670-901, Brazil. Electronic address:

Published: April 2018

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.

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http://dx.doi.org/10.1016/j.gene.2018.01.085DOI Listing

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