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Title

Analysis of reported SCO2 gene mutations affecting cytochrome c oxidase activity in various diseases

 

Authors

Radhika Chadha1, Ritika Shah2 & Shalini Mani2*

 

Affiliation

1International Centre for Genetic Engineering and Biotechnology, New Delhi; 2Department of Biotechnology, Jaypee Institute of Information Technology, Noida

 

Email

Mani.shalini@gmail.com; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received May 10, 2014; Revised May 16, 2014; Accepted May 20, 2014; Published June 30, 2014

 

Abstract

A large number of mutations have been reported in SCO2 (synthesis of cytochrome c oxidase) gene in association with COX deficiency reported in different diseases such as cardioencephalomyopathy, cardiomyopathy and Leigh syndrome. However, very few of these mutations have been functionally analyzed.SCO2 gene encodes for an essential assembly factor for the formation of cytochrome c oxidase (COX). It is a nuclear encoded protein that helps in transfer of copper ions to COX. This study is an attempt to understand the possible effect of these mutations on the structure and function of SCO2 protein, by using different in silico tools. As per Human Gene Mutation Database, total 11 non synonymous variations have been reported in SCO2 gene. Among these 11 variations, only E140K and R171W are functionally proven to cause COX deficiency. They have been used as controls in this study. The remaining variations were further analyzed using ClustalW, SIFT, PolyPhen-2, GOR4, MuPro and Panther softwares. As compared to the results of the controls, most of these variations were predicted to affect the structure of SCO2 protein and hence, may cause COX dysfunction. Thus, we hypothesize that these variations have the potential to result in a disease phenotype and should be investigated by subsequent functional analyses. This will help in an appropriate diagnosis and management of the wide spectrum of COX deficiency diseases. 

 

Keywords

SCO2, COX, in silico, OXPHOS, mitochondrial diseases, mutations.

 

Citation

Chadha et al.   Bioinformation 10(6): 329-333 (2014)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.