Abstract:Male-sterile plants provide an important breeding tool for the heterosis of hybrid crops, such as Brassicaceae. In the last decade, circular RNAs (circRNAs), as a novel class of covalently closed and single-stranded endogenous non-coding RNAs (ncRNAs), have received much attention because of their functions as “microRNA (miRNA) sponges” and “competing endogenous RNAs” (ceRNAs). However, the information about circRNAs in the regulation of male-sterility and anther development is limited. In this study, we estab… Show more
“…CircRNA studies are likely to grow in several branches of biology, both on model (Weigelt et al 2020) and non-model organisms and beyond the biomedical field (Wu et al 2021a; Chu et al 2021; Liang et al 2019), prompting the development of improved tools allowing more extensive circRNA investigation to unravel circRNA-related condition peculiarities, such as differential circRNA expression (Gaffo et al 2019; Wu et al 2021c; Tian et al 2020), imbalances of the CLP (Buratin et al 2020), and prevailing circular transcript isoform expression (Izuogu et al 2018). CirComPara2 is a resource tool meeting these needs, as already proved by the successful application of its embryonic implementations in several studies of human diseases and of other species, including plants (Gaffo et al 2019; Frydrych Capelari et al 2019; Buratin et al 2020; Dal Molin et al 2020).…”
Current methods for the identification of circular RNAs (circRNAs) suffer from low discovery rates and inconsistent performance in diverse data sets. Therefore, the applied detection algorithm can bias high-throughput study findings by missing relevant circRNAs. Here, we show that our bioinformatics tool CirComPara2 (https://github.com/egaffo/CirComPara2), by combining multiple circRNA detection methods, consistently achieves high recall rates without loss of precision in simulated and different real data sets.
“…CircRNA studies are likely to grow in several branches of biology, both on model (Weigelt et al 2020) and non-model organisms and beyond the biomedical field (Wu et al 2021a; Chu et al 2021; Liang et al 2019), prompting the development of improved tools allowing more extensive circRNA investigation to unravel circRNA-related condition peculiarities, such as differential circRNA expression (Gaffo et al 2019; Wu et al 2021c; Tian et al 2020), imbalances of the CLP (Buratin et al 2020), and prevailing circular transcript isoform expression (Izuogu et al 2018). CirComPara2 is a resource tool meeting these needs, as already proved by the successful application of its embryonic implementations in several studies of human diseases and of other species, including plants (Gaffo et al 2019; Frydrych Capelari et al 2019; Buratin et al 2020; Dal Molin et al 2020).…”
Current methods for the identification of circular RNAs (circRNAs) suffer from low discovery rates and inconsistent performance in diverse data sets. Therefore, the applied detection algorithm can bias high-throughput study findings by missing relevant circRNAs. Here, we show that our bioinformatics tool CirComPara2 (https://github.com/egaffo/CirComPara2), by combining multiple circRNA detection methods, consistently achieves high recall rates without loss of precision in simulated and different real data sets.
“…Thus, the pathogenesis of OLP needs to be studied, and effective therapeutic targets for the prevention and treatment of this disease need to be found. CircRNAs can act as miRNA sponges to abolish the inhibitory effects of miRNAs on their target mRNAs, thus increasing the expression levels of mRNAs (14)(15)(16).…”
Section: Discussionmentioning
confidence: 99%
“…Since Hansen et al (11) first published a paper on the function of circRNA in the Nature journal in 2013, an increasing number of studies have shown that circRNAs play important roles in the pathogenesis of diseases and are potential molecular markers (12,13). By binding micro (mi) RNA through miRNA response elements, circRNAs act as "miRNA sponges" to undermine the inhibitory effects of miRNAs on their target mRNAs and thus regulate the expression level of mRNAs (14)(15)(16). The expression of circRNAs in the process of immune response and immunerelated diseases can be altered (17).…”
Background: This study sought to identify the circular RNAs (circRNAs) differentially expressed in oral lichen planus (OLP) to investigate the possible role of circRNAs in this disease's pathogenesis.Methods: Six OLP and six normal oral mucosal tissues were used for circRNA detection and sequencing.10 selected circRNAs were verified by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). A gene ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed to predict the functions of circRNAs in OLP. TargetScan and miRanda were applied to predict targeted micro (mi)RNAs and messenger (m)RNAs of circRNAs, and competing endogenous (ce)RNA networks were mapped.Results: One hundred and thirty-five circRNAs were identified differentially expressed in OLP tissues compared to normal control tissues, including 83 upregulated circRNAs, and 52 down-regulated circRNAs.RT-qPCR confirmed that 10 circRNAs were all abnormally expressed in OLP. The GO functional analysis and KEGG pathway analysis showed that differentially expressed circRNAs were involved in 535 GO functional items and 78 signal pathways. A ceRNA network analysis showed that circRNAs might interact with a variety of miRNAs.Conclusions: This study mapped the expression profile of abnormally expressed circRNAs in OLP tissues for the first time and showed that circRNAs appear to play an important role in the pathogenesis of OLP.
“…In addition, the circRNA circ_001350 regulates glioma cell proliferation, apoptosis, and metastatic properties by acting as a miRNA sponge [64]. In plants, circRNA-miRNA-mRNA networks have been identified, but they have not been confirmed by experiments [31,65]. To reveal whether DEcircRNAs can target miRNAs and participate in the transcriptional regulation of genes, we identified 385 DEcircRNAs predicted to contain miRNA decoy sites.…”
Circular RNAs (circRNAs) are endogenous noncoding RNAs with covalently closed continuous loop structures that are formed by 3 -5 ligation during splicing. These molecules are involved in diverse physiological and developmental processes in eukaryotic cells. Jasmonic acid (JA) is a critical hormonal regulator of plant growth and defense. However, the roles of circRNAs in the JA regulatory network are unclear. In this study, we performed high-throughput sequencing of Arabidopsis thaliana at 24 h, 48 h, and 96 h after methyl JA (MeJA) treatment. A total of 8588 circRNAs, which were distributed on almost all chromosomes, were identified, and the majority of circRNAs had lengths between 200 and 800 bp. We identified 385 differentially expressed circRNAs (DEcircRNAs) by comparing data between MeJA-treated and untreated samples. Gene Ontology (GO) enrichment analysis of the host genes that produced the DEcircRNAs showed that the DEcircRNAs are mainly involved in response to stimulation and metabolism. Additionally, some DEcircRNAs were predicted to act as miRNA decoys. Eight DEcircRNAs were validated by qRT-PCR with divergent primers, and the junction sites of five DEcircRNAs were validated by PCR analysis and Sanger sequencing. Our results provide insight into the potential roles of circRNAs in the MeJA regulation network.
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