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FUCHS—towards full circular RNA characterization using RNAseq

Circular RNAs (circRNAs) belong to a recently re-discovered species of RNA that emerge during RNA maturation through a process called back-splicing. A downstream 5′ splice site is linked to an upstream 3′ splice site to form a circular transcript instead of a canonical linear transcript. Recent adva...

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Autores principales: Metge, Franziska, Czaja-Hasse, Lisa F., Reinhardt, Richard, Dieterich, Chistoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333540/
https://www.ncbi.nlm.nih.gov/pubmed/28265491
http://dx.doi.org/10.7717/peerj.2934
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author Metge, Franziska
Czaja-Hasse, Lisa F.
Reinhardt, Richard
Dieterich, Chistoph
author_facet Metge, Franziska
Czaja-Hasse, Lisa F.
Reinhardt, Richard
Dieterich, Chistoph
author_sort Metge, Franziska
collection PubMed
description Circular RNAs (circRNAs) belong to a recently re-discovered species of RNA that emerge during RNA maturation through a process called back-splicing. A downstream 5′ splice site is linked to an upstream 3′ splice site to form a circular transcript instead of a canonical linear transcript. Recent advances in next-generation sequencing (NGS) have brought circRNAs back into the focus of many scientists. Since then, several studies reported that circRNAs are differentially expressed across tissue types and developmental stages, implying that they are actively regulated and not merely a by-product of splicing. Though functional studies have shown that some circRNAs could act as miRNA-sponges, the function of most circRNAs remains unknown. To expand our understanding of possible roles of circular RNAs, we propose a new pipeline that could fully characterizes candidate circRNA structure from RNAseq data—FUCHS: FUll CHaracterization of circular RNA using RNA-Sequencing. Currently, most computational prediction pipelines use back-spliced reads to identify circular RNAs. FUCHS extends this concept by considering all RNA-seq information from long reads (typically >150 bp) to learn more about the exon coverage, the number of double break point fragments, the different circular isoforms arising from one host-gene, and the alternatively spliced exons within the same circRNA boundaries. This new knowledge will enable the user to carry out differential motif enrichment and miRNA seed analysis to determine potential regulators during circRNA biogenesis. FUCHS is an easy-to-use Python based pipeline that contributes a new aspect to the circRNA research.
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spelling pubmed-53335402017-03-06 FUCHS—towards full circular RNA characterization using RNAseq Metge, Franziska Czaja-Hasse, Lisa F. Reinhardt, Richard Dieterich, Chistoph PeerJ Bioinformatics Circular RNAs (circRNAs) belong to a recently re-discovered species of RNA that emerge during RNA maturation through a process called back-splicing. A downstream 5′ splice site is linked to an upstream 3′ splice site to form a circular transcript instead of a canonical linear transcript. Recent advances in next-generation sequencing (NGS) have brought circRNAs back into the focus of many scientists. Since then, several studies reported that circRNAs are differentially expressed across tissue types and developmental stages, implying that they are actively regulated and not merely a by-product of splicing. Though functional studies have shown that some circRNAs could act as miRNA-sponges, the function of most circRNAs remains unknown. To expand our understanding of possible roles of circular RNAs, we propose a new pipeline that could fully characterizes candidate circRNA structure from RNAseq data—FUCHS: FUll CHaracterization of circular RNA using RNA-Sequencing. Currently, most computational prediction pipelines use back-spliced reads to identify circular RNAs. FUCHS extends this concept by considering all RNA-seq information from long reads (typically >150 bp) to learn more about the exon coverage, the number of double break point fragments, the different circular isoforms arising from one host-gene, and the alternatively spliced exons within the same circRNA boundaries. This new knowledge will enable the user to carry out differential motif enrichment and miRNA seed analysis to determine potential regulators during circRNA biogenesis. FUCHS is an easy-to-use Python based pipeline that contributes a new aspect to the circRNA research. PeerJ Inc. 2017-02-28 /pmc/articles/PMC5333540/ /pubmed/28265491 http://dx.doi.org/10.7717/peerj.2934 Text en ©2017 Metge et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Metge, Franziska
Czaja-Hasse, Lisa F.
Reinhardt, Richard
Dieterich, Chistoph
FUCHS—towards full circular RNA characterization using RNAseq
title FUCHS—towards full circular RNA characterization using RNAseq
title_full FUCHS—towards full circular RNA characterization using RNAseq
title_fullStr FUCHS—towards full circular RNA characterization using RNAseq
title_full_unstemmed FUCHS—towards full circular RNA characterization using RNAseq
title_short FUCHS—towards full circular RNA characterization using RNAseq
title_sort fuchs—towards full circular rna characterization using rnaseq
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333540/
https://www.ncbi.nlm.nih.gov/pubmed/28265491
http://dx.doi.org/10.7717/peerj.2934
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