Dataset Information

SeekCRIT: Detecting and characterizing differentially expressed circular RNAs using high-throughput sequencing data.

ABSTRACT: Over the past two decades, researchers have discovered a special form of alternative splicing that produces a circular form of RNA. Although these circular RNAs (circRNAs) have garnered considerable attention in the scientific community for their biogenesis and functions, the focus of current studies has been on the tissue-specific circRNAs that exist only in one tissue but not in other tissues or on the disease-specific circRNAs that exist in certain disease conditions, such as cancer, but not under normal conditions. This approach was conducted in the relative absence of methods that analyze a group of common circRNAs that exist in both conditions, but are more abundant in one condition relative to another (differentially expressed). Studies of differentially expressed circRNAs (DECs) between two conditions would serve as a significant first step in filling this void. Here, we introduce a novel computational tool, seekCRIT (seek for differentially expressed CircRNAs In Transcriptome), that identifies the DECs between two conditions from high-throughput sequencing data. Using rat retina RNA-seq data from ischemic and normal conditions, we show that over 74% of identifiable circRNAs are expressed in both conditions and over 40 circRNAs are differentially expressed between two conditions. We also obtain a high qPCR validation rate of 90% for DECs with a FDR of < 5%. Our results demonstrate that seekCRIT is a novel and efficient approach to detect DECs using rRNA depleted RNA-seq data. seekCRIT is freely downloadable at https://github.com/UofLBioinformatics/seekCRIT. The source code is licensed under the MIT License. seekCRIT is developed and tested on Linux CentOS-7.

SUBMITTER: Chaabane M

PROVIDER: S-EPMC7598922 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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seekCRIT: Detecting and characterizing differentially expressed circular RNAs using high-throughput sequencing data.

Chaabane Mohamed M Andreeva Kalina K Hwang Jae Yeon JY Kook Tae Lim TL Park Juw Won JW Cooper Nigel G F NGF

PLoS computational biology 20201020 10

Over the past two decades, researchers have discovered a special form of alternative splicing that produces a circular form of RNA. Although these circular RNAs (circRNAs) have garnered considerable attention in the scientific community for their biogenesis and functions, the focus of current studies has been on the tissue-specific circRNAs that exist only in one tissue but not in other tissues or on the disease-specific circRNAs that exist in certain disease conditions, such as cancer, but not ...[more]

PMID: 33079938

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Project description:Allergic asthma is one of the most common allergic diseases; however, the mechanisms underlying its development have yet to be fully elucidated. Although allergic diseases are inheritable, genetic variance alone cannot explain the notable increase in the prevalence of allergic diseases over a short period of time in recent decades. Recently, research focus has been shifting to epigenetic factors, such as non‑coding RNAs. Circular RNAs (circRNAs) are involved in the pathogenesis of various diseases. The aim of the present study was to further elucidate the etiology of allergic asthma by analyzing aberrantly expressed circRNAs in a murine asthma model. A mouse model of house dust mite allergen‑induced asthma was established, and the qualified libraries were sequenced using next‑generation sequencing. The expression levels of circRNAs were validated by reverse transcription‑quantitative PCR (RT‑qPCR) analysis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed for biological pathway classification and enrichment analysis of the aberrantly expressed circRNAs. In addition, the interaction network of the differentially expressed circRNAs and microRNAs (miRNAs) was constructed using Cytoscape. By next‑generation sequencing, a total of 150 circRNAs were revealed to be upregulated and 130 were downregulated in the murine asthma model group compared with in the control group. GO and KEGG analyses demonstrated that the differentially expressed circRNAs were mainly involved in processes such as 'autoimmune disease', 'cell adhesion molecules (CAMs)' and 'endocytosis', among others. The expression levels of six circRNAs, namely three upregulated (circ_0000909, circ_0000629 and circ_0000455) and three downregulated (circ_0001454, circ_0000723 and circ_0001389) circRNAs, were validated by RT‑qPCR. In conclusion, the analyses suggested that circRNAs performed critical functions via endocytosis (such as macrophage endocytosis), cell adhesion molecules and lipid metabolism in allergic asthma. The interaction network revealed that certain miRNAs that may serve a role in asthma could be regulated by the differentially expressed circRNAs.

Project description:BackgroundMicroRNAs (miRNAs) are a class of endogenous, small, non-coding RNAs that regulate gene expression by mediating gene silencing at transcriptional and post-transcriptional levels in high plants. However, the diversity of miRNAs and their roles in floral development in Japanese apricot (Prunus mume Sieb. et Zucc) remains largely unexplored. Imperfect flowers with pistil abortion seriously decrease production yields. To understand the role of miRNAs in pistil development, pistil development-related miRNAs were identified by Solexa sequencing in Japanese apricot.ResultsSolexa sequencing was used to identify and quantitatively profile small RNAs from perfect and imperfect flower buds of Japanese apricot. A total of 22,561,972 and 24,952,690 reads were sequenced from two small RNA libraries constructed from perfect and imperfect flower buds, respectively. Sixty-one known miRNAs, belonging to 24 families, were identified. Comparative profiling revealed that seven known miRNAs exhibited significant differential expression between perfect and imperfect flower buds. A total of 61 potentially novel miRNAs/new members of known miRNA families were also identified by the presence of mature miRNAs and corresponding miRNA*s in the sRNA libraries. Comparative analysis showed that six potentially novel miRNAs were differentially expressed between perfect and imperfect flower buds. Target predictions of the 13 differentially expressed miRNAs resulted in 212 target genes. Gene ontology (GO) annotation revealed that high-ranking miRNA target genes are those implicated in the developmental process, the regulation of transcription and response to stress.ConclusionsThis study represents the first comparative identification of miRNAomes between perfect and imperfect Japanese apricot flowers. Seven known miRNAs and six potentially novel miRNAs associated with pistil development were identified, using high-throughput sequencing of small RNAs. The findings, both computationally and experimentally, provide valuable information for further functional characterisation of miRNAs associated with pistil development in plants.

Dataset Information

SeekCRIT: Detecting and characterizing differentially expressed circular RNAs using high-throughput sequencing data.

Publications

seekCRIT: Detecting and characterizing differentially expressed circular RNAs using high-throughput sequencing data.

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