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MeT-DB: a database of transcriptome methylation in mammalian cells
Methyltranscriptome is an exciting new area that studies the mechanisms and functions of methylation in transcripts. The MethylTranscriptome DataBase (MeT-DB, http://compgenomics.utsa.edu/methylation/) is the first comprehensive resource for N6-methyladenosine (m(6)A) in mammalian transcriptome. It...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383883/ https://www.ncbi.nlm.nih.gov/pubmed/25378335 http://dx.doi.org/10.1093/nar/gku1024 |
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author | Liu, Hui Flores, Mario A Meng, Jia Zhang, Lin Zhao, Xinyu Rao, Manjeet K. Chen, Yidong Huang, Yufei |
author_facet | Liu, Hui Flores, Mario A Meng, Jia Zhang, Lin Zhao, Xinyu Rao, Manjeet K. Chen, Yidong Huang, Yufei |
author_sort | Liu, Hui |
collection | PubMed |
description | Methyltranscriptome is an exciting new area that studies the mechanisms and functions of methylation in transcripts. The MethylTranscriptome DataBase (MeT-DB, http://compgenomics.utsa.edu/methylation/) is the first comprehensive resource for N6-methyladenosine (m(6)A) in mammalian transcriptome. It includes a database that records publicaly available data sets from methylated RNA immunoprecipitation sequencing (MeRIP-Seq), a recently developed technology for interrogating m(6)A methyltranscriptome. MeT-DB includes ∼300k m(6)A methylation sites in 74 MeRIP-Seq samples from 22 different experimental conditions predicted by exomePeak and MACS2 algorithms. To explore this rich information, MeT-DB also provides a genome browser to query and visualize context-specific m(6)A methylation under different conditions. MeT-DB also includes the binding site data of microRNA, splicing factor and RNA binding proteins in the browser window for comparison with m(6)A sites and for exploring the potential functions of m(6)A. Analysis of differential m(6)A methylation and the related differential gene expression under two conditions is also available in the browser. A global perspective of the genome-wide distribution of m(6)A methylation in all the data is provided in circular ideograms, which also act as a navigation portal. The query results and the entire data set can be exported to assist publication and additional analysis. |
format | Online Article Text |
id | pubmed-4383883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43838832015-04-08 MeT-DB: a database of transcriptome methylation in mammalian cells Liu, Hui Flores, Mario A Meng, Jia Zhang, Lin Zhao, Xinyu Rao, Manjeet K. Chen, Yidong Huang, Yufei Nucleic Acids Res Database Issue Methyltranscriptome is an exciting new area that studies the mechanisms and functions of methylation in transcripts. The MethylTranscriptome DataBase (MeT-DB, http://compgenomics.utsa.edu/methylation/) is the first comprehensive resource for N6-methyladenosine (m(6)A) in mammalian transcriptome. It includes a database that records publicaly available data sets from methylated RNA immunoprecipitation sequencing (MeRIP-Seq), a recently developed technology for interrogating m(6)A methyltranscriptome. MeT-DB includes ∼300k m(6)A methylation sites in 74 MeRIP-Seq samples from 22 different experimental conditions predicted by exomePeak and MACS2 algorithms. To explore this rich information, MeT-DB also provides a genome browser to query and visualize context-specific m(6)A methylation under different conditions. MeT-DB also includes the binding site data of microRNA, splicing factor and RNA binding proteins in the browser window for comparison with m(6)A sites and for exploring the potential functions of m(6)A. Analysis of differential m(6)A methylation and the related differential gene expression under two conditions is also available in the browser. A global perspective of the genome-wide distribution of m(6)A methylation in all the data is provided in circular ideograms, which also act as a navigation portal. The query results and the entire data set can be exported to assist publication and additional analysis. Oxford University Press 2014-11-06 2015-01-28 /pmc/articles/PMC4383883/ /pubmed/25378335 http://dx.doi.org/10.1093/nar/gku1024 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Liu, Hui Flores, Mario A Meng, Jia Zhang, Lin Zhao, Xinyu Rao, Manjeet K. Chen, Yidong Huang, Yufei MeT-DB: a database of transcriptome methylation in mammalian cells |
title | MeT-DB: a database of transcriptome methylation in mammalian cells |
title_full | MeT-DB: a database of transcriptome methylation in mammalian cells |
title_fullStr | MeT-DB: a database of transcriptome methylation in mammalian cells |
title_full_unstemmed | MeT-DB: a database of transcriptome methylation in mammalian cells |
title_short | MeT-DB: a database of transcriptome methylation in mammalian cells |
title_sort | met-db: a database of transcriptome methylation in mammalian cells |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383883/ https://www.ncbi.nlm.nih.gov/pubmed/25378335 http://dx.doi.org/10.1093/nar/gku1024 |
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