Author:
Sharma Disha,Sehgal Paras,Sivasubbu Sridhar,Scaria Vinod
Abstract
AbstractBackgroundCircular RNAs are a novel class of non-coding RNAs that backsplice from 5’ donor site and 3’ acceptor site to form a circular structure. A number of circRNAs have been discovered in model organisms including human, mouse, Drosophila, among other organisms. There are a few candidate-based studies on circular RNAs in rat, a well studied model organism. The availability of a recent dataset of transcriptomes encompassing 11 tissues, 4 developmental stages and 2 genders motivated us to explore the landscape of circular RNAs in the organism.MethodologyIn order to understand the difference among different pipelines, we have used the same bodymap RNA sequencing dataset. A number of pipelines have been published to identify the backsplice junctions for the discovery of circRNAs but studies comparing these tools have suggested that a combination of tools would be a better approach to identify high-confidence circular RNAs. We employed 5 different combinations of tools including tophat_CIRCexplorer2, segemehl_CIRCexplorer2, star_CIRCexplorer, Bowtie2_findcirc and Bowtie2_findcirc (noHisat2) to identify circular RNAs from the dataset.ResultsOur analysis identified a number of tissue-specific, developmental stage specific and gender specific circular RNAs. We further independently validated 16 circRNA junctions out of 24 selected candidates in 5 tissue samples. We additionally estimated the quantitative expression of 5 circRNA candidates using real-time PCR and our analysis suggests 3 candidates as tissue-enrichedConclusionThis study is one of the most comprehensive studies that provides a circular RNA transcriptome as well as to understand the difference among different computational pipelines in Rat.
Publisher
Cold Spring Harbor Laboratory
Reference66 articles.
1. High-resolution genome screen for bone mineral density in heterogeneous stock rat;Journal of Bone and Mineral Research: The Official Journal of the American Society for Bone and Mineral Research,2014
2. Fine mapping of bone structure and strength QTLs in heterogeneous stock rat;Bone,2015
3. Bier, A. , Braun, T. , Khasbab, R. , Di Segni, A. , Grossman, E. , Haberman, Y. , & Leibowitz, A. (2018). A High Salt Diet Modulates the Gut Microbiota and Short Chain Fatty Acids Production in a Salt-Sensitive Hypertension Rat Model. Nutrients, 10(9). https://doi.org/10.3390/nu10091154
4. A spontaneous mutation of the rat Themis gene leads to impaired function of regulatory T cells linked to inflammatory bowel disease;PLoS Genetics,2012
5. PcircRNA_finder: a software for circRNA prediction in plants