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CircMiMi: a stand-alone software for constructing circular RNA-microRNA-mRNA interactions across species.
Chiang, Tai-Wei; Mai, Te-Lun; Chuang, Trees-Juen.
Afiliación
  • Chiang TW; Genomics Research Center, Academia Sinica, Taipei, Taiwan.
  • Mai TL; Department of Life Science, National Taiwan University, Taipei, Taiwan.
  • Chuang TJ; Genomics Research Center, Academia Sinica, Taipei, Taiwan. trees@gate.sinica.edu.tw.
BMC Bioinformatics ; 23(1): 164, 2022 May 06.
Article en En | MEDLINE | ID: mdl-35524165
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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: MicroARNs / Trastorno del Espectro Autista Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Taiwán

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: MicroARNs / Trastorno del Espectro Autista Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Taiwán