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miRPathDB: a new dictionary on microRNAs and target pathways

In the last decade, miRNAs and their regulatory mechanisms have been intensively studied and many tools for the analysis of miRNAs and their targets have been developed. We previously presented a dictionary on single miRNAs and their putative target pathways. Since then, the number of miRNAs has tri...

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Autores principales: Backes, Christina, Kehl, Tim, Stöckel, Daniel, Fehlmann, Tobias, Schneider, Lara, Meese, Eckart, Lenhof, Hans-Peter, Keller, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210630/
https://www.ncbi.nlm.nih.gov/pubmed/27742822
http://dx.doi.org/10.1093/nar/gkw926
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author Backes, Christina
Kehl, Tim
Stöckel, Daniel
Fehlmann, Tobias
Schneider, Lara
Meese, Eckart
Lenhof, Hans-Peter
Keller, Andreas
author_facet Backes, Christina
Kehl, Tim
Stöckel, Daniel
Fehlmann, Tobias
Schneider, Lara
Meese, Eckart
Lenhof, Hans-Peter
Keller, Andreas
author_sort Backes, Christina
collection PubMed
description In the last decade, miRNAs and their regulatory mechanisms have been intensively studied and many tools for the analysis of miRNAs and their targets have been developed. We previously presented a dictionary on single miRNAs and their putative target pathways. Since then, the number of miRNAs has tripled and the knowledge on miRNAs and targets has grown substantially. This, along with changes in pathway resources such as KEGG, leads to an improved understanding of miRNAs, their target genes and related pathways. Here, we introduce the miRNA Pathway Dictionary Database (miRPathDB), freely accessible at https://mpd.bioinf.uni-sb.de/. With the database we aim to complement available target pathway web-servers by providing researchers easy access to the information which pathways are regulated by a miRNA, which miRNAs target a pathway and how specific these regulations are. The database contains a large number of miRNAs (2595 human miRNAs), different miRNA target sets (14 773 experimentally validated target genes as well as 19 281 predicted targets genes) and a broad selection of functional biochemical categories (KEGG-, WikiPathways-, BioCarta-, SMPDB-, PID-, Reactome pathways, functional categories from gene ontology (GO), protein families from Pfam and chromosomal locations totaling 12 875 categories). In addition to Homo sapiens, also Mus musculus data are stored and can be compared to human target pathways.
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spelling pubmed-52106302017-01-05 miRPathDB: a new dictionary on microRNAs and target pathways Backes, Christina Kehl, Tim Stöckel, Daniel Fehlmann, Tobias Schneider, Lara Meese, Eckart Lenhof, Hans-Peter Keller, Andreas Nucleic Acids Res Database Issue In the last decade, miRNAs and their regulatory mechanisms have been intensively studied and many tools for the analysis of miRNAs and their targets have been developed. We previously presented a dictionary on single miRNAs and their putative target pathways. Since then, the number of miRNAs has tripled and the knowledge on miRNAs and targets has grown substantially. This, along with changes in pathway resources such as KEGG, leads to an improved understanding of miRNAs, their target genes and related pathways. Here, we introduce the miRNA Pathway Dictionary Database (miRPathDB), freely accessible at https://mpd.bioinf.uni-sb.de/. With the database we aim to complement available target pathway web-servers by providing researchers easy access to the information which pathways are regulated by a miRNA, which miRNAs target a pathway and how specific these regulations are. The database contains a large number of miRNAs (2595 human miRNAs), different miRNA target sets (14 773 experimentally validated target genes as well as 19 281 predicted targets genes) and a broad selection of functional biochemical categories (KEGG-, WikiPathways-, BioCarta-, SMPDB-, PID-, Reactome pathways, functional categories from gene ontology (GO), protein families from Pfam and chromosomal locations totaling 12 875 categories). In addition to Homo sapiens, also Mus musculus data are stored and can be compared to human target pathways. Oxford University Press 2017-01-04 2016-10-13 /pmc/articles/PMC5210630/ /pubmed/27742822 http://dx.doi.org/10.1093/nar/gkw926 Text en © The Author(s) 2016. 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
Backes, Christina
Kehl, Tim
Stöckel, Daniel
Fehlmann, Tobias
Schneider, Lara
Meese, Eckart
Lenhof, Hans-Peter
Keller, Andreas
miRPathDB: a new dictionary on microRNAs and target pathways
title miRPathDB: a new dictionary on microRNAs and target pathways
title_full miRPathDB: a new dictionary on microRNAs and target pathways
title_fullStr miRPathDB: a new dictionary on microRNAs and target pathways
title_full_unstemmed miRPathDB: a new dictionary on microRNAs and target pathways
title_short miRPathDB: a new dictionary on microRNAs and target pathways
title_sort mirpathdb: a new dictionary on micrornas and target pathways
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210630/
https://www.ncbi.nlm.nih.gov/pubmed/27742822
http://dx.doi.org/10.1093/nar/gkw926
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