Transcriptomics analysis of circular RNAs differentially expressed in apoptotic HeLa cells
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ABSTRACT:
PROVIDER: PRJNA515690 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8451680.fastq.gz | Fastqsanger.gz | |||
| SRR8451690.fastq.gz | Fastqsanger.gz | |||
| SRR8451700.fastq.gz | Fastqsanger.gz | |||
| SRR8451681.fastq.gz | Fastqsanger.gz | |||
| SRR8451691.fastq.gz | Fastqsanger.gz |
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Project description:We have performed a transcriptomics study in which we first triggered apoptosis in HeLa cells through treatment with four different agents, namely cisplatin, doxorubicin, TNF-α and anti-Fas mAb. Total RNAs isolated from control as well as treated cells were treated with RNAse R to eliminate the linear RNAs. The remaining RNAs were then subjected to deep-sequencing to identify differentially expressed circRNAs. Interestingly, some of the dys-regulated circRNAs were found to originate from protein-coding genes well-documented to regulate apoptosis. A number of candidate circRNAs were validated with qPCR with or without RNAse R treatment as well. We then took advantage of bioinformatics tools to investigate the coding potential of differentially expressed RNAs. Additionally, we examined the candidate circRNAs for the putative miRNA-binding sites and their putative target mRNAs. Our analyses point to a potential for circRNA-mediated sponging of miRNAs known to regulate apoptosis. In conclusion, this is the first transcriptomics study that provides a complete circRNA profile of apoptotic cells that might shed light onto the potential role of circRNAs in apoptosis.
2019-11-12 | GSE125249 | GEO
Project description:Apoptosis is a form of regulated cell death that plays a critical role in survival and developmental homeostasis. There are numerous reports on regulation of apoptosis by protein-coding genes as well as small non-coding RNAs, such as microRNAs. However, there is no comprehensive investigation of circular RNAs (circRNA) that are differentially expressed under apoptotic conditions. We have performed a transcriptomics study in which we first triggered apoptosis in HeLa cells through treatment with four different agents, namely cisplatin, doxorubicin, TNF-α and anti-Fas mAb. Total RNAs isolated from control as well as treated cells were treated with RNAse R to eliminate the linear RNAs. The remaining RNAs were then subjected to deep-sequencing to identify differentially expressed circRNAs. Interestingly, some of the dys-regulated circRNAs were found to originate from protein-coding genes well-documented to regulate apoptosis. A number of candidate circRNAs were validated with qPCR with or without RNAse R treatment as well. We then took advantage of bioinformatics tools to investigate the coding potential of differentially expressed RNAs. Additionally, we examined the candidate circRNAs for the putative miRNA-binding sites and their putative target mRNAs. Our analyses point to a potential for circRNA-mediated sponging of miRNAs known to regulate apoptosis. In conclusion, this is the first transcriptomics study that provides a complete circRNA profile of apoptotic cells that might shed light onto the potential role of circRNAs in apoptosis.
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Project description:We used RNA-seq to examine circular RNAs from RNase R treated ribo-zero RNAs in HeLa cells.
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Project description:Profiling circular RNAs in HeLa cell
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Project description:Recently, it has been demonstrated that genomes of many species express single stranded RNAs with covalently closed ends, named circular RNAs. Their regulatory potential and functional relevance are just starting to be revealed. Here we present a novel computational tool, seekCRIT (seek for differentially expressed Circular RNAs In Transcriptome), that identifies circular RNAs and detects their differential expression between two conditions. Using seekCRIT we identified the circular RNAs that are expressed in the neural retina and determined that the majority of them (74%) are expressed in both, ischemic and normal conditions. We identified over 40 circular RNAs that were differentially expressed between both conditions and validated these experimentally using qRT-PCR. The high validation rate of 90% with a false discovery rate (FDR) of < 5% demonstrates the accuracy and reliability of seekCRIT.
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Project description:The differentially expressed circular RNAs in the hippocampus of Nrf2-knockout mice
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Project description:Non-coding circular RNAs (circRNAs) have displayed dysregulated expression in the hippocampus of Nrf2-knockout mice.
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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.
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Project 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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Project description:We identified the differentially expressed circular RNAs in vitiligo patients before and after treatment of methylprednisolone. We have completed the Arraystar Human circRNA Array V2 analysis of the 8 peripheral blood specimens. Whole blood samples (3 mL each) were collected by venipuncture into heparinized vacutainers from a total of four patients diagnosed with nonsegmental vitiligo before and after systemic glucocorticoid therapy (oral methylprednisolone tablets, 12mg daily for eight weeks).
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