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CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species
BACKGROUND: Circular RNAs (circRNAs) are a class of non-coding RNAs formed by pre-mRNA back-splicing, which are widely expressed in animal/plant cells and often play an important role in regulating microRNA (miRNA) activities. While numerous databases have collected a large amount of predicted circR...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074202/ https://www.ncbi.nlm.nih.gov/pubmed/35524165 http://dx.doi.org/10.1186/s12859-022-04692-0 |
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author | Chiang, Tai-Wei Mai, Te-Lun Chuang, Trees-Juen |
author_facet | Chiang, Tai-Wei Mai, Te-Lun Chuang, Trees-Juen |
author_sort | Chiang, Tai-Wei |
collection | PubMed |
description | BACKGROUND: Circular RNAs (circRNAs) are a class of non-coding RNAs formed by pre-mRNA back-splicing, which are widely expressed in animal/plant cells and often play an important role in regulating microRNA (miRNA) activities. While numerous databases have collected a large amount of predicted circRNA candidates and provided the corresponding circRNA-regulated interactions, a stand-alone package for constructing circRNA-miRNA-mRNA interactions based on user-identified circRNAs across species is lacking. RESULTS: We present CircMiMi (circRNA-miRNA-mRNA interactions), a modular, Python-based software to identify circRNA-miRNA-mRNA interactions across 18 species (including 16 animals and 2 plants) with the given coordinates of circRNA junctions. The CircMiMi-constructed circRNA-miRNA-mRNA interactions are derived from circRNA-miRNA and miRNA-mRNA axes with the support of computational predictions and/or experimental data. CircMiMi also allows users to examine alignment ambiguity of back-splice junctions for checking circRNA reliability and examine reverse complementary sequences residing in the sequences flanking the circularized exons for investigating circRNA formation. We further employ CircMiMi to identify circRNA-miRNA-mRNA interactions based on the circRNAs collected in NeuroCirc, a large-scale database of circRNAs in the human brain. We construct circRNA-miRNA-mRNA interactions comprising differentially expressed circRNAs, and miRNAs in autism spectrum disorder (ASD) and cross-species analyze the relevance of the targets to ASD. We thus provide a rich set of ASD-associated circRNA-miRNA-mRNA axes and a useful starting point for investigation of regulatory mechanisms in ASD pathophysiology. CONCLUSIONS: CircMiMi allows users to identify circRNA-mediated interactions in multiple species, shedding light on regulatory roles of circRNAs. The software package and web interface are freely available at https://github.com/TreesLab/CircMiMi and http://circmimi.genomics.sinica.edu.tw/, respectively. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04692-0. |
format | Online Article Text |
id | pubmed-9074202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90742022022-05-07 CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species Chiang, Tai-Wei Mai, Te-Lun Chuang, Trees-Juen BMC Bioinformatics Software BACKGROUND: Circular RNAs (circRNAs) are a class of non-coding RNAs formed by pre-mRNA back-splicing, which are widely expressed in animal/plant cells and often play an important role in regulating microRNA (miRNA) activities. While numerous databases have collected a large amount of predicted circRNA candidates and provided the corresponding circRNA-regulated interactions, a stand-alone package for constructing circRNA-miRNA-mRNA interactions based on user-identified circRNAs across species is lacking. RESULTS: We present CircMiMi (circRNA-miRNA-mRNA interactions), a modular, Python-based software to identify circRNA-miRNA-mRNA interactions across 18 species (including 16 animals and 2 plants) with the given coordinates of circRNA junctions. The CircMiMi-constructed circRNA-miRNA-mRNA interactions are derived from circRNA-miRNA and miRNA-mRNA axes with the support of computational predictions and/or experimental data. CircMiMi also allows users to examine alignment ambiguity of back-splice junctions for checking circRNA reliability and examine reverse complementary sequences residing in the sequences flanking the circularized exons for investigating circRNA formation. We further employ CircMiMi to identify circRNA-miRNA-mRNA interactions based on the circRNAs collected in NeuroCirc, a large-scale database of circRNAs in the human brain. We construct circRNA-miRNA-mRNA interactions comprising differentially expressed circRNAs, and miRNAs in autism spectrum disorder (ASD) and cross-species analyze the relevance of the targets to ASD. We thus provide a rich set of ASD-associated circRNA-miRNA-mRNA axes and a useful starting point for investigation of regulatory mechanisms in ASD pathophysiology. CONCLUSIONS: CircMiMi allows users to identify circRNA-mediated interactions in multiple species, shedding light on regulatory roles of circRNAs. The software package and web interface are freely available at https://github.com/TreesLab/CircMiMi and http://circmimi.genomics.sinica.edu.tw/, respectively. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04692-0. BioMed Central 2022-05-06 /pmc/articles/PMC9074202/ /pubmed/35524165 http://dx.doi.org/10.1186/s12859-022-04692-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Software Chiang, Tai-Wei Mai, Te-Lun Chuang, Trees-Juen CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species |
title | CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species |
title_full | CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species |
title_fullStr | CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species |
title_full_unstemmed | CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species |
title_short | CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species |
title_sort | circmimi: a stand-alone software for constructing circular rna-microrna-mrna interactions across species |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074202/ https://www.ncbi.nlm.nih.gov/pubmed/35524165 http://dx.doi.org/10.1186/s12859-022-04692-0 |
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