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MethCNA: a database for integrating genomic and epigenomic data in human cancer
BACKGROUND: The integration of DNA methylation and copy number alteration data promises to provide valuable insight into the underlying molecular mechanisms responsible for cancer initiation and progression. However, the generation and processing of these datasets are costly and time-consuming if ca...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5810021/ https://www.ncbi.nlm.nih.gov/pubmed/29433427 http://dx.doi.org/10.1186/s12864-018-4525-0 |
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author | Deng, Gaofeng Yang, Jian Zhang, Qing Xiao, Zhi-Xiong Cai, Haoyang |
author_facet | Deng, Gaofeng Yang, Jian Zhang, Qing Xiao, Zhi-Xiong Cai, Haoyang |
author_sort | Deng, Gaofeng |
collection | PubMed |
description | BACKGROUND: The integration of DNA methylation and copy number alteration data promises to provide valuable insight into the underlying molecular mechanisms responsible for cancer initiation and progression. However, the generation and processing of these datasets are costly and time-consuming if carried out separately. The Illumina Infinium HumanMethylation450 BeadChip, initially designed for the evaluation of DNA methylation levels, allows copy number variant calling using bioinformatics tools. RESULTS: A substantial amount of Infinium HumanMethylation450 data across various cancer types has been accumulated in recent years and is a valuable resource for large-scale data analysis. Here we present MethCNA, a comprehensive database for genomic and epigenomic data integration in human cancer. In the current release, MethCNA contains about 10,000 tumor samples representing 37 cancer types. All raw array data were collected from The Cancer Genome Atlas and NCBI Gene Expression Omnibus database and analyzed using a pipeline that integrated multiple computational resources and tools. The normalized copy number aberration data and DNA methylation alterations were obtained. We provide a user-friendly web-interface for data mining and visualization. CONCLUSIONS: The Illumina Infinium HumanMethylation450 BeadChip enables the interrogation and integration of both genomic and epigenomic data from exactly the same DNA specimen, and thus can aid in distinguishing driver from passenger mutations in cancer. We expect MethCNA will enable researchers to explore DNA methylation and copy number alteration patterns, identify key oncogenic drivers in cancer, and assist in the development of targeted therapies. MethCNA is publicly available online at http://cgma.scu.edu.cn/MethCNA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4525-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5810021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58100212018-02-16 MethCNA: a database for integrating genomic and epigenomic data in human cancer Deng, Gaofeng Yang, Jian Zhang, Qing Xiao, Zhi-Xiong Cai, Haoyang BMC Genomics Database BACKGROUND: The integration of DNA methylation and copy number alteration data promises to provide valuable insight into the underlying molecular mechanisms responsible for cancer initiation and progression. However, the generation and processing of these datasets are costly and time-consuming if carried out separately. The Illumina Infinium HumanMethylation450 BeadChip, initially designed for the evaluation of DNA methylation levels, allows copy number variant calling using bioinformatics tools. RESULTS: A substantial amount of Infinium HumanMethylation450 data across various cancer types has been accumulated in recent years and is a valuable resource for large-scale data analysis. Here we present MethCNA, a comprehensive database for genomic and epigenomic data integration in human cancer. In the current release, MethCNA contains about 10,000 tumor samples representing 37 cancer types. All raw array data were collected from The Cancer Genome Atlas and NCBI Gene Expression Omnibus database and analyzed using a pipeline that integrated multiple computational resources and tools. The normalized copy number aberration data and DNA methylation alterations were obtained. We provide a user-friendly web-interface for data mining and visualization. CONCLUSIONS: The Illumina Infinium HumanMethylation450 BeadChip enables the interrogation and integration of both genomic and epigenomic data from exactly the same DNA specimen, and thus can aid in distinguishing driver from passenger mutations in cancer. We expect MethCNA will enable researchers to explore DNA methylation and copy number alteration patterns, identify key oncogenic drivers in cancer, and assist in the development of targeted therapies. MethCNA is publicly available online at http://cgma.scu.edu.cn/MethCNA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4525-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-13 /pmc/articles/PMC5810021/ /pubmed/29433427 http://dx.doi.org/10.1186/s12864-018-4525-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Database Deng, Gaofeng Yang, Jian Zhang, Qing Xiao, Zhi-Xiong Cai, Haoyang MethCNA: a database for integrating genomic and epigenomic data in human cancer |
title | MethCNA: a database for integrating genomic and epigenomic data in human cancer |
title_full | MethCNA: a database for integrating genomic and epigenomic data in human cancer |
title_fullStr | MethCNA: a database for integrating genomic and epigenomic data in human cancer |
title_full_unstemmed | MethCNA: a database for integrating genomic and epigenomic data in human cancer |
title_short | MethCNA: a database for integrating genomic and epigenomic data in human cancer |
title_sort | methcna: a database for integrating genomic and epigenomic data in human cancer |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5810021/ https://www.ncbi.nlm.nih.gov/pubmed/29433427 http://dx.doi.org/10.1186/s12864-018-4525-0 |
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