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IMOTA: an interactive multi-omics tissue atlas for the analysis of human miRNA–target interactions
Web repositories for almost all ‘omics’ types have been generated—detailing the repertoire of representatives across different tissues or cell types. A logical next step is the combination of these valuable sources. With IMOTA (interactive multi omics tissue atlas), we developed a database that incl...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753248/ https://www.ncbi.nlm.nih.gov/pubmed/28977416 http://dx.doi.org/10.1093/nar/gkx701 |
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author | Palmieri, Valeria Backes, Christina Ludwig, Nicole Fehlmann, Tobias Kern, Fabian Meese, Eckart Keller, Andreas |
author_facet | Palmieri, Valeria Backes, Christina Ludwig, Nicole Fehlmann, Tobias Kern, Fabian Meese, Eckart Keller, Andreas |
author_sort | Palmieri, Valeria |
collection | PubMed |
description | Web repositories for almost all ‘omics’ types have been generated—detailing the repertoire of representatives across different tissues or cell types. A logical next step is the combination of these valuable sources. With IMOTA (interactive multi omics tissue atlas), we developed a database that includes 23 725 relations between miRNAs and 23 tissues, 310 932 relations between mRNAs and the same tissues as well as 63 043 relations between proteins and the 23 tissues in Homo sapiens. IMOTA also contains data on tissue-specific interactions, e.g. information on 331 413 miRNAs and target gene pairs that are jointly expressed in the considered tissues. By using intuitive filter and visualization techniques, it is with minimal effort possible to answer various questions. These include rather general questions but also requests specific for genes, miRNAs or proteins. An example for a general task could be ‘identify all miRNAs, genes and proteins in the lung that are highly expressed and where experimental evidence proves that the miRNAs target the genes’. An example for a specific request for a gene and a miRNA could for example be ‘In which tissues is miR-34c and its target gene BCL2 expressed?’. The IMOTA repository is freely available online at https://ccb-web.cs.uni-saarland.de/imota/. |
format | Online Article Text |
id | pubmed-5753248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57532482018-01-05 IMOTA: an interactive multi-omics tissue atlas for the analysis of human miRNA–target interactions Palmieri, Valeria Backes, Christina Ludwig, Nicole Fehlmann, Tobias Kern, Fabian Meese, Eckart Keller, Andreas Nucleic Acids Res Database Issue Web repositories for almost all ‘omics’ types have been generated—detailing the repertoire of representatives across different tissues or cell types. A logical next step is the combination of these valuable sources. With IMOTA (interactive multi omics tissue atlas), we developed a database that includes 23 725 relations between miRNAs and 23 tissues, 310 932 relations between mRNAs and the same tissues as well as 63 043 relations between proteins and the 23 tissues in Homo sapiens. IMOTA also contains data on tissue-specific interactions, e.g. information on 331 413 miRNAs and target gene pairs that are jointly expressed in the considered tissues. By using intuitive filter and visualization techniques, it is with minimal effort possible to answer various questions. These include rather general questions but also requests specific for genes, miRNAs or proteins. An example for a general task could be ‘identify all miRNAs, genes and proteins in the lung that are highly expressed and where experimental evidence proves that the miRNAs target the genes’. An example for a specific request for a gene and a miRNA could for example be ‘In which tissues is miR-34c and its target gene BCL2 expressed?’. The IMOTA repository is freely available online at https://ccb-web.cs.uni-saarland.de/imota/. Oxford University Press 2018-01-04 2017-08-11 /pmc/articles/PMC5753248/ /pubmed/28977416 http://dx.doi.org/10.1093/nar/gkx701 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Palmieri, Valeria Backes, Christina Ludwig, Nicole Fehlmann, Tobias Kern, Fabian Meese, Eckart Keller, Andreas IMOTA: an interactive multi-omics tissue atlas for the analysis of human miRNA–target interactions |
title | IMOTA: an interactive multi-omics tissue atlas for the analysis of human miRNA–target interactions |
title_full | IMOTA: an interactive multi-omics tissue atlas for the analysis of human miRNA–target interactions |
title_fullStr | IMOTA: an interactive multi-omics tissue atlas for the analysis of human miRNA–target interactions |
title_full_unstemmed | IMOTA: an interactive multi-omics tissue atlas for the analysis of human miRNA–target interactions |
title_short | IMOTA: an interactive multi-omics tissue atlas for the analysis of human miRNA–target interactions |
title_sort | imota: an interactive multi-omics tissue atlas for the analysis of human mirna–target interactions |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753248/ https://www.ncbi.nlm.nih.gov/pubmed/28977416 http://dx.doi.org/10.1093/nar/gkx701 |
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