Cargando…

V-MitoSNP: visualization of human mitochondrial SNPs

BACKGROUND: Mitochondrial single nucleotide polymorphisms (mtSNPs) constitute important data when trying to shed some light on human diseases and cancers. Unfortunately, providing relevant mtSNP genotyping information in mtDNA databases in a neatly organized and transparent visual manner still remai...

Descripción completa

Detalles Bibliográficos
Autores principales: Chuang, Li-Yeh, Yang, Cheng-Hong, Cheng, Yu-Huei, Gu, De-Leung, Chang, Phei-Lang, Tsui, Ke-Hung, Chang, Hsueh-Wei
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1564046/
https://www.ncbi.nlm.nih.gov/pubmed/16907992
http://dx.doi.org/10.1186/1471-2105-7-379
_version_ 1782129541044502528
author Chuang, Li-Yeh
Yang, Cheng-Hong
Cheng, Yu-Huei
Gu, De-Leung
Chang, Phei-Lang
Tsui, Ke-Hung
Chang, Hsueh-Wei
author_facet Chuang, Li-Yeh
Yang, Cheng-Hong
Cheng, Yu-Huei
Gu, De-Leung
Chang, Phei-Lang
Tsui, Ke-Hung
Chang, Hsueh-Wei
author_sort Chuang, Li-Yeh
collection PubMed
description BACKGROUND: Mitochondrial single nucleotide polymorphisms (mtSNPs) constitute important data when trying to shed some light on human diseases and cancers. Unfortunately, providing relevant mtSNP genotyping information in mtDNA databases in a neatly organized and transparent visual manner still remains a challenge. Amongst the many methods reported for SNP genotyping, determining the restriction fragment length polymorphisms (RFLPs) is still one of the most convenient and cost-saving methods. In this study, we prepared the visualization of the mtDNA genome in a way, which integrates the RFLP genotyping information with mitochondria related cancers and diseases in a user-friendly, intuitive and interactive manner. The inherent problem associated with mtDNA sequences in BLAST of the NCBI database was also solved. DESCRIPTION: V-MitoSNP provides complete mtSNP information for four different kinds of inputs: (1) color-coded visual input by selecting genes of interest on the genome graph, (2) keyword search by locus, disease and mtSNP rs# ID, (3) visualized input of nucleotide range by clicking the selected region of the mtDNA sequence, and (4) sequences mtBLAST. The V-MitoSNP output provides 500 bp (base pairs) flanking sequences for each SNP coupled with the RFLP enzyme and the corresponding natural or mismatched primer sets. The output format enables users to see the SNP genotype pattern of the RFLP by virtual electrophoresis of each mtSNP. The rate of successful design of enzymes and primers for RFLPs in all mtSNPs was 99.1%. The RFLP information was validated by actual agarose electrophoresis and showed successful results for all mtSNPs tested. The mtBLAST function in V-MitoSNP provides the gene information within the input sequence rather than providing the complete mitochondrial chromosome as in the NCBI BLAST database. All mtSNPs with rs number entries in NCBI are integrated in the corresponding SNP in V-MitoSNP. CONCLUSION: V-MitoSNP is a web-based software platform that provides a user-friendly and interactive interface for mtSNP information, especially with regard to RFLP genotyping. Visual input and output coupled with integrated mtSNP information from MITOMAP and NCBI make V-MitoSNP an ideal and complete visualization interface for human mtSNPs association studies.
format Text
id pubmed-1564046
institution National Center for Biotechnology Information
language English
publishDate 2006
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-15640462006-09-12 V-MitoSNP: visualization of human mitochondrial SNPs Chuang, Li-Yeh Yang, Cheng-Hong Cheng, Yu-Huei Gu, De-Leung Chang, Phei-Lang Tsui, Ke-Hung Chang, Hsueh-Wei BMC Bioinformatics Database BACKGROUND: Mitochondrial single nucleotide polymorphisms (mtSNPs) constitute important data when trying to shed some light on human diseases and cancers. Unfortunately, providing relevant mtSNP genotyping information in mtDNA databases in a neatly organized and transparent visual manner still remains a challenge. Amongst the many methods reported for SNP genotyping, determining the restriction fragment length polymorphisms (RFLPs) is still one of the most convenient and cost-saving methods. In this study, we prepared the visualization of the mtDNA genome in a way, which integrates the RFLP genotyping information with mitochondria related cancers and diseases in a user-friendly, intuitive and interactive manner. The inherent problem associated with mtDNA sequences in BLAST of the NCBI database was also solved. DESCRIPTION: V-MitoSNP provides complete mtSNP information for four different kinds of inputs: (1) color-coded visual input by selecting genes of interest on the genome graph, (2) keyword search by locus, disease and mtSNP rs# ID, (3) visualized input of nucleotide range by clicking the selected region of the mtDNA sequence, and (4) sequences mtBLAST. The V-MitoSNP output provides 500 bp (base pairs) flanking sequences for each SNP coupled with the RFLP enzyme and the corresponding natural or mismatched primer sets. The output format enables users to see the SNP genotype pattern of the RFLP by virtual electrophoresis of each mtSNP. The rate of successful design of enzymes and primers for RFLPs in all mtSNPs was 99.1%. The RFLP information was validated by actual agarose electrophoresis and showed successful results for all mtSNPs tested. The mtBLAST function in V-MitoSNP provides the gene information within the input sequence rather than providing the complete mitochondrial chromosome as in the NCBI BLAST database. All mtSNPs with rs number entries in NCBI are integrated in the corresponding SNP in V-MitoSNP. CONCLUSION: V-MitoSNP is a web-based software platform that provides a user-friendly and interactive interface for mtSNP information, especially with regard to RFLP genotyping. Visual input and output coupled with integrated mtSNP information from MITOMAP and NCBI make V-MitoSNP an ideal and complete visualization interface for human mtSNPs association studies. BioMed Central 2006-08-15 /pmc/articles/PMC1564046/ /pubmed/16907992 http://dx.doi.org/10.1186/1471-2105-7-379 Text en Copyright © 2006 Chuang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database
Chuang, Li-Yeh
Yang, Cheng-Hong
Cheng, Yu-Huei
Gu, De-Leung
Chang, Phei-Lang
Tsui, Ke-Hung
Chang, Hsueh-Wei
V-MitoSNP: visualization of human mitochondrial SNPs
title V-MitoSNP: visualization of human mitochondrial SNPs
title_full V-MitoSNP: visualization of human mitochondrial SNPs
title_fullStr V-MitoSNP: visualization of human mitochondrial SNPs
title_full_unstemmed V-MitoSNP: visualization of human mitochondrial SNPs
title_short V-MitoSNP: visualization of human mitochondrial SNPs
title_sort v-mitosnp: visualization of human mitochondrial snps
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1564046/
https://www.ncbi.nlm.nih.gov/pubmed/16907992
http://dx.doi.org/10.1186/1471-2105-7-379
work_keys_str_mv AT chuangliyeh vmitosnpvisualizationofhumanmitochondrialsnps
AT yangchenghong vmitosnpvisualizationofhumanmitochondrialsnps
AT chengyuhuei vmitosnpvisualizationofhumanmitochondrialsnps
AT gudeleung vmitosnpvisualizationofhumanmitochondrialsnps
AT changpheilang vmitosnpvisualizationofhumanmitochondrialsnps
AT tsuikehung vmitosnpvisualizationofhumanmitochondrialsnps
AT changhsuehwei vmitosnpvisualizationofhumanmitochondrialsnps