Heterogeneous circRNA expression profiles and regulatory functions among HEK293T single cells.
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ABSTRACT:
SUBMITTER: Zhong C
PROVIDER: S-EPMC5663837 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Brown adipose tissue (BAT) is specialized for energy expenditure, thus a better understanding of the regulators influencing BAT development could provide novel strategies to defense obesity. Many protein-coding genes, miRNAs, and lncRNAs have been investigated in BAT development, however, the expression patterns and functions of circRNA in brown adipogenesis have not been reported yet. This study determined the circRNA expression profiles across brown adipogenesis (proliferation, early differentiated, and fully differentiated stages) by RNA-seq. We identified 3,869 circRNAs and 36.9% of them were novel. We found the biogenesis of circRNA was significantly related to linear mRNA transcription, meanwhile, almost 70% of circRNAs were generated by alternative back-splicing. Next, we examined the cell-specific and differentiation stage-specific expression of circRNAs. Compared to white adipocytes, nearly 30% of them were specifically expressed in brown adipocytes. Further, time-series expression analysis showed circRNAs were dynamically expressed, and 117 differential expression circRNAs (DECs) in brown adipogenesis were identified, with 77 upregulated and 40 downregulated. Experimental validation showed the identified circRNAs could be successfully amplified and the expression levels detected by RNA-seq were reliable. For the potential functions of the circRNAs, GO analysis suggested that the decreased circRNAs were enriched in cell proliferation terms, while the increased circRNAs were enriched in development and thermogenic terms. Bioinformatics predictions showed that DECs contained numerous binding sites of functional miRNAs. More interestingly, most of the circRNAs contained multiple binding sites for the same miRNA, indicating that they may facilitate functions by acting as microRNA sponges. Collectively, we characterized the circRNA expression profiles during brown adipogenesis and provide numerous novel circRNAs candidates for future brown adipogenesis regulating studies.
| S-EPMC8569449 | biostudies-literature
Project description:BackgroundCircular RNAs (circRNAs) are involved in inflammation; however, their role in allergic rhinitis (AR) remains unclear. In this study, we analyzed circRNA expression and identified a circRNA-miRNA-mRNA network through which circRNAs regulate AR pathogenesis.MethodsWe analyzed circRNA, miRNA, and mRNA expression profiles in the nasal mucosa by high-throughput sequencing (HTS), using a fold-change >1.5 and p-value < 0.05 to pinpoint significantly differentially expressed (DE) circRNAs, miRNAs, and mRNAs in AR. A DEcircRNA-DEmiRNA-DEmRNA crosstalk network was then constructed using bioinformatics and statistical analysis. Gene ontology and Kyoto encyclopedia of genes and genomes pathway analyses were performed to identify the biological terms enriched in the network; whereas RT-PCR and Sanger sequencing were used to confirm the circRNAs.ResultsA total of 264 DEcircRNAs were identified by HTS, including 120 upregulated and 144 downregulated in AR compared to controls. A DEcircRNA-DEmiRNA-DEmRNA crosstalk network was constructed with 17 miRNAs, 11 circRNAs, 29 mRNAs, and 64 interaction pairs. These genes were involved in the Wnt signaling pathway, TNF biosynthesis, inflammatory responses, the PI3K-Akt signaling pathway, and Toll-like receptors. Of the 11 DEcircRNAs, hsa_circ_0008668 and circTRIQK were upregulated, whereas hsa_circ_0029853 and circRNA_01002 were downregulated in AR tissues. Sanger sequencing confirmed the back-splicing junctions of these circRNAs.ConclusionsWe constructed a novel DEcircRNA-DEmiRNA-DEmRNA network for AR that provides a basis for future studies to investigate its underlying molecular mechanisms.
| S-EPMC8233375 | biostudies-literature
Project description:Circular RNAs (circRNAs) belong to a class of non-coding RNAs with diverse biological functions. However, little is known about their roles in case of pseudorabies virus (PrV) infection. Here, we analyzed the expression profile of host circRNAs from a virulent PrV type II strain DX (PrV-DX) infected and an attenuated gE/TK deficient (gE-TK-PrV) strain of PrV infected PK-15 cells. CircRNAs were identified by find_circ and analyzed with DESeq 2. Compared with the mock cells, 449 differentially expressed (DE) circRNAs (233 down-regulated and 216 up-regulated) from PrV-DX infected and 578 DE circRNAs (331 down-regulated and 247 up-regulated) from gE-TK- PrV infected PK-15 cells were identified. In addition, 459 DE circRNAs (164 down-regulated and 295 up-regulated) between the PrV-DX and gE-TK-PrV infected cells were identified. The expression patterns of 13 circRNAs were validated by reverse transcription quantitative real-time PCR (RT-qPCR) and results were similar as of RNA-seq. The putative target miRNA binding sites of DE circRNAs were predicted by using miRanda and psRobot. The circRNA-miRNA-mRNA network was constructed and certain miRNAs that have possible roles in antiviral immune response, such as miR-210 and miR-340, were predicted. GO and KEGG pathway analysis demonstrated that DE circRNAs were enriched in the processes such as cellular metabolism, protein binding, RNA degradation and regulation of actin cytoskeleton. Collectively, these findings might provide the useful information for a better understanding of mechanisms underlying the interaction between PrV-II and host cells.
| S-EPMC7973350 | biostudies-literature
Project description:CircRNAs are a group of endogenous small noncoding RNAs that are involved in multiple diseases including cancers. At present, the functions of circRNAs in breast cancer need to be further explored. In this study, 3 pairs of breast cancer and paracancer tissues with axillary lymph node metastasis were collected for circRNA high-throughput sequencing. We have identified 17,966 distinct circRNA candidates. Significant differential expressions were found in 136 circRNAs in breast cancer tissues relative to the matched paracancer tissues. We aslo identified differentially expressed 156 miRNAs and 1105 mRNAs in breast cancer tissues and normal breast tissues from public databases. Then we constructed a regulatory ceRNA network. 12 mRNAs were associated with prognosis of breast cancer. We also constructed a circRNAs-mediated subnetwork which might be related to prognosis of breast cancer. This article provides a better understanding of circRNAs-mediated ceRNA regulatory network by which circRNAs compete for endogenous RNAs in breast cancer.
| S-EPMC9588024 | biostudies-literature
Project description:Circular RNAs (circRNAs) regulate several physiological and pathological processes, but their role in visceral lipid deposition has not been explored. In the present study, human preadipocytes from visceral fat tissue (HPA?v) were induced to form adipocytes, and the circRNA expression profiles in HPA?v and adipocytes were detected using circRNA microarrays. The microarray data revealed that 2,215 and 1,865 circRNAs were significantly up? and downregulated, respectively, in adipocytes compared with HPA?v. Moreover, the parental genes of differentially expressed circRNAs were associated with fatty acid metabolism based on Kyoto Encyclopedia of Genes and Genomes analysis. Three circRNAs (hsa_circ_0136134, hsa_circ_0017650, and hsa?circRNA9227?1) were selected for quantitative PCR (qPCR) validation, and the qPCR results were consistent with the microarray results. Furthermore, MiRanda software was used to predict the microRNAs (miRNAs) potentially targeting the top 10 up? and downregulated circRNAs, and 14 miRNAs with more than two miRNA response elements targeting these circRNAs. This is the first study of the expression profiles of circRNAs in HPA?v and adipocytes and may suggest potential therapeutic targets for the visceral obesity.
| S-EPMC6947878 | biostudies-literature
Project description:Circular RNAs (circRNAs) are regulatory molecules that participate in the occurrence, development and progression of tumors. To obtain a complete blueprint of cervical carcinogenesis, we analyzed the temporal transcriptomic landscapes of mRNAs and circRNAs. Microarrays were performed to identify the circRNA and mRNA expression profiles of cervical squamous cell carcinoma (CSCC) and high-grade squamous intraepithelial lesion (HSIL) patients compared with normal controls (NC). Short time-series expression miner (STEM) was utilized to characterize the time-course expression patterns of circRNAs and mRNAs from NC to HSIL and CSCC. A total of 3 circRNA profiles and 3 mRNA profiles with continuous upregulated patterns were identified and selected for further analysis. Furthermore, functional annotation showed that the mRNAs were associated with DNA repair and cell division. The protein-protein interaction (PPI) network analysis revealed that the ten highest-degree genes were considered to be hub genes. Subsequently, a competing endogenous RNA (ceRNA) network analysis and real-time PCR validation indicated that hsa_circ_0001955/hsa-miR-6719-3p/CDK1, hsa_circ_0001955/hsa-miR-1277-5p/NEDD4L and hsa_circ_0003954/hsa-miR-15a-3p/SYCP2 were highly correlated with cervical carcinogenesis. Silencing of hsa_circ_0003954 inhibited SiHa cell proliferation and perturb the cell cycle in vitro. This study provides insight into the molecular events regulating cervical carcinogenesis, identifies functional circRNAs in CSCC, and improves the understanding of the pathogenesis and molecular biomarkers of CSCC and HSIL.
| S-EPMC8438239 | biostudies-literature
Project description:H5N1, a highly pathogenic avian influenza virus that is prevalent in Asia, seriously harms the poultry industry and global public health. However, its pathogenesis is still not well understood. Circular RNAs (circRNAs), a newly identified type of RNA, reportedly play crucial roles in various pathogenic processes. In this study, RNA sequencing was performed to analyze the expression profile of circRNAs in H5N1-infected chicken embryo fibroblast (DF1) cells. A total of 14,586 circRNAs were identified. The expression profiles of infected cells changed more significantly, relative to uninfected cells, as the infection period was extended; namely, 261, 626, and 1103 circRNAs exhibited differential expression in cells infected for 6 h, 12 h, and 20 h, respectively. GO and KEGG enrichment analysis revealed significant enrichment of the parental genes of the differentially expressed circRNAs for viral replication and immune response-related pathways, such as positive regulation of transcription from the RNA polymerase II promoter, positive regulation of I-kappaB kinase/NF-kappaB signaling, innate immune response, and ubiquitin protein ligase activity. In conclusion, we identified the expression profile of circRNAs in H5N1-infected chicken DF1 cells. Bioinformatic analyses of the dysregulated circRNAs suggest that circRNAs might play important roles in the pathogenesis of H5N1 infection, offering new insights into the mechanisms underlying H5N1-host interaction.
| S-EPMC8772545 | biostudies-literature
Project description:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging and highly pathogenic coronavirus that causes coronavirus disease (COVID-19), and might even lead to death. Circular RNAs (circRNAs), a new type of RNAs, are implicated in viral pathogenesis and host immune responses. However, their dynamic expression patterns and functions during SARS-CoV-2 infection remain to be unclear. We herein performed genome-wide dynamic analysis of circRNAs in human lung epithelial cells infected with SARS-CoV-2 at four time points. A total of 6118 circRNAs were identified at different genomic locations, including 5641 known and 477 novel circRNAs. Notably, a total of 42 circRNAs were significantly dysregulated, wherein 17 were up-regulated and 25 were down-regulated following infection at multiple phases. The gene ontology and KEGG enrichment analyses revealed that the parental genes of circRNAs were mainly involved in immune and inflammatory responses. Further, the RNA binding protein (RBP) prediction analysis indicated that the dysregulated circRNAs could regulate mRNA stability, immunity, cell death by binding specific proteins. Additionally, the circRNA-miRNA-gene network analysis showed that circRNAs indirectly regulated gene expression by absorbing their targeted miRNAs. Collectively, these results shed light on the roles of circRNAs in virus-host interactions, facilitating future studies on SARS-CoV-2 infection and pathogenesis.
| S-EPMC8123525 | biostudies-literature
Project description:BackgroundImmunoglobulin A nephropathy (IgAN) is immune-mediated primary glomerulonephritis, which is the most common reason leading to renal failure worldwide. The exact pathogenesis of IgAN is not well defined. Accumulating evidence indicates that circular RNAs (circRNAs) play crucial roles in the immune disease by involving in the competing endogenous RNA (ceRNA) network mechanism. At present, the studies of the circRNA profiles and circRNA-associated ceRNA networks in the IgAN are still scarce. This study aimed to elucidate the potential roles of circRNA-associated ceRNA networks of peripheral blood mononuclear cells (PBMCs) in IgAN patients.MethodCircRNA sequencing was used to identify the differential expressed circRNAs (DEcircRNAs) of PBMCs in IgAN and healthy controls; limma packages from data sets GSE25590 and GSE73953 in the Gene Expression Omnibus (GEO) database, were used to identify differentially expressed micro RNAs (miRNAs) and message RNAs (mRNAs). A circRNA-miRNA-mRNA ceRNA network was constructed to further investigate the mechanisms of IgAN. Then, GO analysis and KEGG enrichment analyses were used to annotate the genes involved in the circRNA-associated ceRNA network. Further, Protein-protein interaction (PPI) networks were established to screen potential hub genes, by using Search Tool for the Retrieval of Interacting Genes/Proteins (STRING). Last, a quantitative real-time polymerase chain reaction (qRT-PCR) was applied to verify the hub genes in the ceRNA network.ResultA total of 145 circRNAs, 22 miRNAs, and 1,117 mRNAs were differentially expressed in IgAN compared with controls (P < 0.05). A ceRNA network was constructed which contained 16 DEcircRNAs, 72 differential expressed mRNAs (DEmRNAs) and 11 differential expressed miRNAs (DEmiRNAs). KEGG pathway enrichment analysis illustrated the underlying biological functions of the ceRNA-associated genes, such as Nitrogen compound metabolic process, COPII-coated ER to Golgi transport vesicle, CAMP response element protein binding process (P < 0.01); meanwhile, Hepatitis B, GnRH signaling, and Prion disease were the most significant enrichment GO terms (P < 0.01). PPI network based on STRING analysis identified 4 potentially hub genes. Finally, Ankyrin repeat and SOCS box containing 16 (ASB16), SEC24 homolog C, COPII coat complex component (SEC24C) were confirmed by qRT-PCR (P < 0.05) and were identified as the hub genes of the ceRNA network in our study.ConclusionOur study identified a novel circRNA-mediated ceRNA regulatory network mechanisms in the pathogenesis of IgAN.
| S-EPMC7719294 | biostudies-literature
Project description:Circular RNAs (circRNAs) are pervasively expressed circles of non?coding RNAs. Even though many circRNAs have been reported in humans, their expression patterns and functions remain poorly understood. In this study, we employed a pipeline named RAISE to detect circRNAs in RNA?seq data. RAISE can fully characterize circRNA structure and abundance. We evaluated inter-individual variations in circRNA expression in humans by applying this pipeline to numerous non?poly(A)-selected RNA?seq data. We identified 59,128 circRNA candidates in 61 human liver samples, with almost no overlap in the circRNA of the recruited samples. Approximately 89% of the circRNAs were detected in one or two samples. In comparison, 10% of the linear mRNAs and non?coding RNAs were detected in each sample. We estimated the variation in other tissues, especially the circRNA high-abundance tissues, in advance. Only 0.5% of the 50,631 brain circRNA candidates were shared among the 30 recruited brain samples, which is similar to the proportion in liver. Moreover, we found inter- and intra-individual diversity in circRNAs expression in the granulocyte RNA?seq data from seven individuals sampled 3 times at one-month intervals. Our findings suggest that careful consideration of inter-individual diversity is required when extensively identifying human circRNAs or proposing their use as potential biomarkers and therapeutic targets in disease.
| S-EPMC5673025 | biostudies-literature