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DEBKS: A Tool to Detect Differentially Expressed Circular RNAs

Circular RNAs (circRNAs) are involved in various biological processes and disease pathogenesis. However, only a small number of functional circRNAs have been identified among hundreds of thousands of circRNA species, partly because most current methods are based on circular junction counts and overl...

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Detalles Bibliográficos
Autores principales: Liu, Zelin, Ding, Huiru, She, Jianqi, Chen, Chunhua, Zhang, Weiguang, Yang, Ence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801035/
https://www.ncbi.nlm.nih.gov/pubmed/33631429
http://dx.doi.org/10.1016/j.gpb.2021.01.003
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author Liu, Zelin
Ding, Huiru
She, Jianqi
Chen, Chunhua
Zhang, Weiguang
Yang, Ence
author_facet Liu, Zelin
Ding, Huiru
She, Jianqi
Chen, Chunhua
Zhang, Weiguang
Yang, Ence
author_sort Liu, Zelin
collection PubMed
description Circular RNAs (circRNAs) are involved in various biological processes and disease pathogenesis. However, only a small number of functional circRNAs have been identified among hundreds of thousands of circRNA species, partly because most current methods are based on circular junction counts and overlook the fact that a circRNA is formed from the host gene by back-splicing (BS). To distinguish the expression difference originating from BS or the host gene, we present differentially expressed back-splicing (DEBKS), a software program to streamline the discovery of differential BS events between two rRNA-depleted RNA sequencing (RNA-seq) sample groups. By applying to real and simulated data and employing RT-qPCR for validation, we demonstrate that DEBKS is efficient and accurate in detecting circRNAs with differential BS events between paired and unpaired sample groups. DEBKS is available at https://github.com/yangence/DEBKS as open-source software.
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spelling pubmed-98010352022-12-31 DEBKS: A Tool to Detect Differentially Expressed Circular RNAs Liu, Zelin Ding, Huiru She, Jianqi Chen, Chunhua Zhang, Weiguang Yang, Ence Genomics Proteomics Bioinformatics Application Note Circular RNAs (circRNAs) are involved in various biological processes and disease pathogenesis. However, only a small number of functional circRNAs have been identified among hundreds of thousands of circRNA species, partly because most current methods are based on circular junction counts and overlook the fact that a circRNA is formed from the host gene by back-splicing (BS). To distinguish the expression difference originating from BS or the host gene, we present differentially expressed back-splicing (DEBKS), a software program to streamline the discovery of differential BS events between two rRNA-depleted RNA sequencing (RNA-seq) sample groups. By applying to real and simulated data and employing RT-qPCR for validation, we demonstrate that DEBKS is efficient and accurate in detecting circRNAs with differential BS events between paired and unpaired sample groups. DEBKS is available at https://github.com/yangence/DEBKS as open-source software. Elsevier 2022-06 2021-02-23 /pmc/articles/PMC9801035/ /pubmed/33631429 http://dx.doi.org/10.1016/j.gpb.2021.01.003 Text en © 2022 Beijing Institute of Genomics https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Application Note
Liu, Zelin
Ding, Huiru
She, Jianqi
Chen, Chunhua
Zhang, Weiguang
Yang, Ence
DEBKS: A Tool to Detect Differentially Expressed Circular RNAs
title DEBKS: A Tool to Detect Differentially Expressed Circular RNAs
title_full DEBKS: A Tool to Detect Differentially Expressed Circular RNAs
title_fullStr DEBKS: A Tool to Detect Differentially Expressed Circular RNAs
title_full_unstemmed DEBKS: A Tool to Detect Differentially Expressed Circular RNAs
title_short DEBKS: A Tool to Detect Differentially Expressed Circular RNAs
title_sort debks: a tool to detect differentially expressed circular rnas
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801035/
https://www.ncbi.nlm.nih.gov/pubmed/33631429
http://dx.doi.org/10.1016/j.gpb.2021.01.003
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