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Circ2Traits: a comprehensive database for circular RNA potentially associated with disease and traits
Circular RNAs are new players in regulation of post transcriptional gene expression. Animal genomes express many circular RNAs from diverse genomic locations. A recent study has validated a fairly large number of circular RNAs in human, mouse, and nematode. Circular RNAs play a crucial role in fine...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3857533/ https://www.ncbi.nlm.nih.gov/pubmed/24339831 http://dx.doi.org/10.3389/fgene.2013.00283 |
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author | Ghosal, Suman Das, Shaoli Sen, Rituparno Basak, Piyali Chakrabarti, Jayprokas |
author_facet | Ghosal, Suman Das, Shaoli Sen, Rituparno Basak, Piyali Chakrabarti, Jayprokas |
author_sort | Ghosal, Suman |
collection | PubMed |
description | Circular RNAs are new players in regulation of post transcriptional gene expression. Animal genomes express many circular RNAs from diverse genomic locations. A recent study has validated a fairly large number of circular RNAs in human, mouse, and nematode. Circular RNAs play a crucial role in fine tuning the level of miRNA mediated regulation of gene expression by sequestering the miRNAs. Their interaction with disease associated miRNAs indicates that circular RNAs are important for disease regulation. In this paper we studied the potential association of circular RNAs (circRNA) with human diseases in two different ways. Firstly, the interactions of circRNAs with disease associated miRNAs were identified, following which the likelihood of a circRNA being associated with a disease was calculated. For the miRNAs associated with individual diseases, we constructed a network of predicted interactions between the miRNAs and protein coding, long non-coding and circular RNA genes. We carried out gene ontology (GO) enrichment analysis on the set of protein coding genes in the miRNA- circRNA interactome of individual diseases to check the enrichment of genes associated with particular biological processes. Secondly, disease associated SNPs were mapped on circRNA loci, and Argonaute (Ago) interaction sites on circular RNAs were identified. We compiled a database of disease-circRNA association in Circ2Traits (http://gyanxet-beta.com/circdb/), the first comprehensive knowledgebase of potential association of circular RNAs with diseases in human. |
format | Online Article Text |
id | pubmed-3857533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-38575332013-12-11 Circ2Traits: a comprehensive database for circular RNA potentially associated with disease and traits Ghosal, Suman Das, Shaoli Sen, Rituparno Basak, Piyali Chakrabarti, Jayprokas Front Genet Genetics Circular RNAs are new players in regulation of post transcriptional gene expression. Animal genomes express many circular RNAs from diverse genomic locations. A recent study has validated a fairly large number of circular RNAs in human, mouse, and nematode. Circular RNAs play a crucial role in fine tuning the level of miRNA mediated regulation of gene expression by sequestering the miRNAs. Their interaction with disease associated miRNAs indicates that circular RNAs are important for disease regulation. In this paper we studied the potential association of circular RNAs (circRNA) with human diseases in two different ways. Firstly, the interactions of circRNAs with disease associated miRNAs were identified, following which the likelihood of a circRNA being associated with a disease was calculated. For the miRNAs associated with individual diseases, we constructed a network of predicted interactions between the miRNAs and protein coding, long non-coding and circular RNA genes. We carried out gene ontology (GO) enrichment analysis on the set of protein coding genes in the miRNA- circRNA interactome of individual diseases to check the enrichment of genes associated with particular biological processes. Secondly, disease associated SNPs were mapped on circRNA loci, and Argonaute (Ago) interaction sites on circular RNAs were identified. We compiled a database of disease-circRNA association in Circ2Traits (http://gyanxet-beta.com/circdb/), the first comprehensive knowledgebase of potential association of circular RNAs with diseases in human. Frontiers Media S.A. 2013-12-10 /pmc/articles/PMC3857533/ /pubmed/24339831 http://dx.doi.org/10.3389/fgene.2013.00283 Text en Copyright © 2013 Ghosal, Das, Sen, Basak and Chakrabarti. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Ghosal, Suman Das, Shaoli Sen, Rituparno Basak, Piyali Chakrabarti, Jayprokas Circ2Traits: a comprehensive database for circular RNA potentially associated with disease and traits |
title | Circ2Traits: a comprehensive database for circular RNA potentially associated with disease and traits |
title_full | Circ2Traits: a comprehensive database for circular RNA potentially associated with disease and traits |
title_fullStr | Circ2Traits: a comprehensive database for circular RNA potentially associated with disease and traits |
title_full_unstemmed | Circ2Traits: a comprehensive database for circular RNA potentially associated with disease and traits |
title_short | Circ2Traits: a comprehensive database for circular RNA potentially associated with disease and traits |
title_sort | circ2traits: a comprehensive database for circular rna potentially associated with disease and traits |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3857533/ https://www.ncbi.nlm.nih.gov/pubmed/24339831 http://dx.doi.org/10.3389/fgene.2013.00283 |
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