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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...

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Autores principales: Palmieri, Valeria, Backes, Christina, Ludwig, Nicole, Fehlmann, Tobias, Kern, Fabian, Meese, Eckart, Keller, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
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/.
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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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