Dataset Information

MITOMASTER: a bioinformatics tool for the analysis of mitochondrial DNA sequences.

ABSTRACT: We have developed a computer system, MITOMASTER, to make analysis of human mitochondrial DNA (mtDNA) sequences efficient, accurate, and easily available. From imported sequences, the system identifies nucleotide variants, determines the haplogroup, rules out possible pseudogene contamination, identifies novel DNA sequence variants, and evaluates the potential biological significance of each variant. This system should be beneficial for mtDNA analyses of biomedical physicians and investigators, population biologists and forensic scientists. MITOMASTER can be accessed at http://mammag.web.uci.edu/twiki/bin/view/Mitomaster.

SUBMITTER: Brandon MC

PROVIDER: S-EPMC4292933 | biostudies-literature | 2009 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

MITOMASTER: a bioinformatics tool for the analysis of mitochondrial DNA sequences.

Brandon Marty C MC Ruiz-Pesini Eduardo E Mishmar Dan D Procaccio Vincent V Lott Marie T MT Nguyen Kevin Cuong KC Spolim Syawal S Patil Upen U Baldi Pierre P Wallace Douglas C DC

Human mutation 20090101 1

We have developed a computer system, MITOMASTER, to make analysis of human mitochondrial DNA (mtDNA) sequences efficient, accurate, and easily available. From imported sequences, the system identifies nucleotide variants, determines the haplogroup, rules out possible pseudogene contamination, identifies novel DNA sequence variants, and evaluates the potential biological significance of each variant. This system should be beneficial for mtDNA analyses of biomedical physicians and investigators, p ...[more]

PMID: 18566966

Similar Datasets

Project description:BACKGROUND: Mitochondrial encephalomyopathies are a heterogeneous group of clinical disorders generally caused due to mutations in either mitochondrial DNA (mtDNA) or nuclear genes encoding oxidative phosphorylation (OXPHOS). We analyzed the mtDNA sequences from a group of 23 pediatric patients with clinical and morphological features of mitochondrial encephalopathies and tried to establish a relationship of identified variants with the disease. METHODOLOGY/PRINCIPLE FINDINGS: Complete mitochondrial genomes were amplified by PCR and sequenced by automated DNA sequencing. Sequencing data was analyzed by SeqScape software and also confirmed by BLASTn program. Nucleotide sequences were compared with the revised Cambridge reference sequence (CRS) and sequences present in mitochondrial databases. The data obtained shows that a number of known and novel mtDNA variants were associated with the disease. Most of the non-synonymous variants were heteroplasmic (A4136G, A9194G and T11916A) suggesting their possibility of being pathogenic in nature. Some of the missense variants although homoplasmic were showing changes in highly conserved amino acids (T3394C, T3866C, and G9804A) and were previously identified with diseased conditions. Similarly, two other variants found in tRNA genes (G5783A and C8309T) could alter the secondary structure of Cys-tRNA and Lys-tRNA. Most of the variants occurred in single cases; however, a few occurred in more than one case (e.g. G5783A and A10149T). CONCLUSIONS AND SIGNIFICANCE: The mtDNA variants identified in this study could be the possible cause of mitochondrial encephalomyopathies with childhood onset in the patient group. Our study further strengthens the pathogenic score of known variants previously reported as provisionally pathogenic in mitochondrial diseases. The novel variants found in the present study can be potential candidates for further investigations to establish the relationship between their incidence and role in expressing the disease phenotype. This study will be useful in genetic diagnosis and counseling of mitochondrial diseases in India as well as worldwide.

Dataset Information

MITOMASTER: a bioinformatics tool for the analysis of mitochondrial DNA sequences.

Publications

MITOMASTER: a bioinformatics tool for the analysis of mitochondrial DNA sequences.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets