Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA388527 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Non-coding RNAs participate in the regulatory network of CLDN4 via ceRNA-mediated miRNA evasion (miRNA)
| PRJNA388528 | ENA
Project description:Non-coding RNAs participate in the regulatory network of CLDN4 via ceRNA-mediated miRNA evasion
| PRJNA388410 | ENA
Project description:Hantaan virus (HTNV), the prevalent prototype of the hantavirus in Asia, causes hemorrhagic fever with renal syndrome (HFRS) with high mortality in human being. However, the pathogenesis of HTNV infection remains elusive. Accumulating evidences indicate that non-coding RNAs (ncRNAs), including long non-coding RNA (lncRNA), circular RNA (circRNA) and microRNA (miRNA) play crucial roles in the progression of virus infection. Here, we identified differential lncRNA/miRNA/circRNA and mRNA expression profiles of HTNV-infected human umbilical vein endothelial cells (HUVECs) compared with mock-infected HUVECs by whole transcriptome sequencing. Subsequently, comprehensive bioinformatics analyses established miRNA-mRNA co-expression, protein-protein interaction and competing endogenous RNA (ceRNA) networks in miRNA-lncRNA-circRNA-mRNA regulatory axis. The trans or cis regulatory roles of identified RNAs on HTNV infection were ascertained by RNA interference and key ceRNA relationships were verified by dual-luciferase reporter experiments. Moreover, gene ontology (GO) enrichment analysis showed that dysregulated RNAs were mostly related to antiviral innate immune response. In conclusion, our findings firstly revealed that circRNAs and ceRNA network were involved in regulating HTNV infection, and also confirmed several key lncRNAs and miRNAs which had vital effects on HTNV infection. The identification and characterization of RNAs provide the new insights on ceRNA networks in HTNV-host interactions, which lays the foundation for future research of the potential roles of ncRNAs in the pathogenesis of HFRS.
2020-04-06 | GSE133634 | GEO
Project description:Hantaan virus (HTNV), the prevalent prototype of the hantavirus in Asia, causes hemorrhagic fever with renal syndrome (HFRS) with high mortality in human being. However, the pathogenesis of HTNV infection remains elusive. Accumulating evidences indicate that non-coding RNAs (ncRNAs), including long non-coding RNA (lncRNA), circular RNA (circRNA) and microRNA (miRNA) play crucial roles in the progression of virus infection. Here, we identified differential lncRNA/miRNA/circRNA and mRNA expression profiles of HTNV-infected human umbilical vein endothelial cells (HUVECs) compared with mock-infected HUVECs by whole transcriptome sequencing. Subsequently, comprehensive bioinformatics analyses established miRNA-mRNA co-expression, protein-protein interaction and competing endogenous RNA (ceRNA) networks in miRNA-lncRNA-circRNA-mRNA regulatory axis. The trans or cis regulatory roles of identified RNAs on HTNV infection were ascertained by RNA interference and key ceRNA relationships were verified by dual-luciferase reporter experiments. Moreover, gene ontology (GO) enrichment analysis showed that dysregulated RNAs were mostly related to antiviral innate immune response. In conclusion, our findings firstly revealed that circRNAs and ceRNA network were involved in regulating HTNV infection, and also confirmed several key lncRNAs and miRNAs which had vital effects on HTNV infection. The identification and characterization of RNAs provide the new insights on ceRNA networks in HTNV-host interactions, which lays the foundation for future research of the potential roles of ncRNAs in the pathogenesis of HFRS.
2020-04-06 | GSE133319 | GEO
Project description:Hantaan virus (HTNV), the prevalent prototype of the hantavirus in Asia, causes hemorrhagic fever with renal syndrome (HFRS) with high mortality in human being. However, the pathogenesis of HTNV infection remains elusive. Accumulating evidences indicate that non-coding RNAs (ncRNAs), including long non-coding RNA (lncRNA), circular RNA (circRNA) and microRNA (miRNA) play crucial roles in the progression of virus infection. Here, we identified differential lncRNA/miRNA/circRNA and mRNA expression profiles of HTNV-infected human umbilical vein endothelial cells (HUVECs) compared with mock-infected HUVECs by whole transcriptome sequencing. Subsequently, comprehensive bioinformatics analyses established miRNA-mRNA co-expression, protein-protein interaction and competing endogenous RNA (ceRNA) networks in miRNA-lncRNA-circRNA-mRNA regulatory axis. The trans or cis regulatory roles of identified RNAs on HTNV infection were ascertained by RNA interference and key ceRNA relationships were verified by dual-luciferase reporter experiments. Moreover, gene ontology (GO) enrichment analysis showed that dysregulated RNAs were mostly related to antiviral innate immune response. In conclusion, our findings firstly revealed that circRNAs and ceRNA network were involved in regulating HTNV infection, and also confirmed several key lncRNAs and miRNAs which had vital effects on HTNV infection. The identification and characterization of RNAs provide the new insights on ceRNA networks in HTNV-host interactions, which lays the foundation for future research of the potential roles of ncRNAs in the pathogenesis of HFRS.
2020-04-06 | GSE133751 | GEO
Project description:BACKGROUND: Competitive endogenous RNA (ceRNA) reveals new mechanisms for interactions between RNAs. However, knowledge of ceRNA regulatory networks in macrophages infected with Talaromyces marneffei (T. marneffei, TM) is still limited. This study aims to explore the expression profiles of lncRNA, miRNA and mRNA, and the changes of ceRNA network related to immunity, inflammation, metabolism in TM-infected macrophage. METHODS: Next-generation sequencing technology (NGS) was used to obtain mRNA, miRNA and lncRNA expression profiles in TM-infected macrophages and normal macrophages. Cuffdiff and DESeq2 software packages are used to identify differentially expressed lncRNA, miRNA and mRNA. The function enrichment analysis was performed by GOseq package in R platform, and the lncRNA–miRNA–mRNA interaction ceRNA network was established in Cytoscape. Functional enrichment analysis was performed on genes contained in the ceRNA network, and genes significantly enriched in functional pathways were selected for qRT-PCR verification. RESULTS: A total of 119 lncRNAs, 28 miRNAs and 208 mRNAs were identified as differentially expressed RNAs in TM-infected macrophages. Among them, 38 lncRNAs, 10 miRNAs and 109 mRNAs are contained in the ceRNA regulatory network. GO analysis and KEGG pathway of mRNA in the ceRNA network showed that macrophages infected with TM activated pathways and functions related to immune response, metabolic response and inflammatory response. Select genes that are significantly abundant in GO analysis and KEGG pathway. The core genes were selected for quantitative real-time PCR (qRT-PCR) to verify consistency with the sequencing results. Eight groups of ceRNAs consisting of 3 mRNAs, 5 lncRNAs, and 2 miRNAs were verified. They are mRNA CSF3, IL24, LIF. lncRNA IL6R-AS1, LINC02009, AC068831.1, AC006252.1, LINC02466. These genes may be involved in immune response and inflammatory response-related pathways and functions in TM-infected macrophages. CONCLUSIONS: The CeRNA network plays an important role in understanding the mechanism of TM infection in macrophages. This study may provide effective and novel insights for further understanding the underlying mechanism of Talaromyces marneffei.
2020-12-01 | GSE154779 | GEO
Project description:BACKGROUND: Competitive endogenous RNA (ceRNA) reveals new mechanisms for interactions between RNAs. However, knowledge of ceRNA regulatory networks in macrophages infected with Talaromyces marneffei (T. marneffei, TM) is still limited. This study aims to explore the expression profiles of lncRNA, miRNA and mRNA, and the changes of ceRNA network related to immunity, inflammation, metabolism in TM-infected macrophage. METHODS: Next-generation sequencing technology (NGS) was used to obtain mRNA, miRNA and lncRNA expression profiles in TM-infected macrophages and normal macrophages. Cuffdiff and DESeq2 software packages are used to identify differentially expressed lncRNA, miRNA and mRNA. The function enrichment analysis was performed by GOseq package in R platform, and the lncRNA–miRNA–mRNA interaction ceRNA network was established in Cytoscape. Functional enrichment analysis was performed on genes contained in the ceRNA network, and genes significantly enriched in functional pathways were selected for qRT-PCR verification. RESULTS: A total of 119 lncRNAs, 28 miRNAs and 208 mRNAs were identified as differentially expressed RNAs in TM-infected macrophages. Among them, 38 lncRNAs, 10 miRNAs and 109 mRNAs are contained in the ceRNA regulatory network. GO analysis and KEGG pathway of mRNA in the ceRNA network showed that macrophages infected with TM activated pathways and functions related to immune response, metabolic response and inflammatory response. Select genes that are significantly abundant in GO analysis and KEGG pathway. The core genes were selected for quantitative real-time PCR (qRT-PCR) to verify consistency with the sequencing results. Eight groups of ceRNAs consisting of 3 mRNAs, 5 lncRNAs, and 2 miRNAs were verified. They are mRNA CSF3, IL24, LIF. lncRNA IL6R-AS1, LINC02009, AC068831.1, AC006252.1, LINC02466. These genes may be involved in immune response and inflammatory response-related pathways and functions in TM-infected macrophages. CONCLUSIONS: The CeRNA network plays an important role in understanding the mechanism of TM infection in macrophages. This study may provide effective and novel insights for further understanding the underlying mechanism of Talaromyces marneffei.
2020-12-01 | GSE154765 | GEO
Project description:Long non-coding RNAs (lncRNAs) play pivotal roles in diseases such as osteoarthritis (OA). However, knowledge of the biological roles of lncRNAs is limited in OA. We aimed to explore the biological function and molecular mechanism of HOTTIP in chondrogenesis and cartilage degradation. We used the human mesenchymal stem cell (MSC) model of chondrogenesis, in parallel with, tissue biopsies from normal and OA cartilage to detect HOTTIP, CCL3, and miR-455-3p expression in vitro. Biological interactions between HOTTIP and miR-455-3p were determined by RNA silencing and overexpression in vitro. We evaluated the effect of HOTTIP on chondrogenesis and degeneration, and its regulation of miR-455-3p via competing endogenous RNA (ceRNA). Our in vitro ceRNA findings were further confirmed within animal models in vivo. Mechanisms of ceRNAs were determined by bioinformatic analysis, a luciferase reporter system, RNA pull-down, and RNA immunoprecipitation (RIP) assays. We found reduced miR-455-3p expression and significantly upregulated lncRNA HOTTIP and CCL3 expression in OA cartilage tissues and chondrocytes. The expression of HOTTIP and CCL3 was increased in chondrocytes treated with interleukin-1β (IL-1β) in vitro. Knockdown of HOTTIP promoted cartilage-specific gene expression and suppressed CCL3. Conversely, HOTTIP overexpression reduced cartilage-specific genes and increased CCL3. Notably, HOTTIP negatively regulated miR-455-3p and increased CCL3 levels in human primary chondrocytes. Mechanistic investigations indicated that HOTTIP functioned as ceRNA for miR-455-3p enhanced CCL3 expression. Taken together, the ceRNA regulatory network of HOTTIP/miR-455-3p/CCL3 plays a critical role in OA pathogenesis and suggests HOTTIP is a potential target in OA therapy.
2019-08-12 | PXD014988 | Pride
Project description:The maintenance of coordinated powerful episodic contractions of the uterus is the crucial factor for normal labor. The uterine contractility is gradually enhanced with the progression of labor, which is related to the gene expression of myometrium, competing endogenous RNA (ceRNA) can also regulate the gene expression. To better understand the role of ceRNA network in labor, transcriptome sequencing was performed on the myometrium of 17 parturients at different labor duration. Furthermore, an correlated analysis was performed to identify mRNA, long non-coding RNA (lncRNA), circular RNA (circRNA), and microRNA (miRNA) which correlated with their expression levels and labor duration. Then, targeting relationships between mRNAs, lncRNAs, circRNAs and miRNAs were predicted, and the ceRNA regulatory network was established.This analysis identified 934 RNAs positively correlated with labor duration (859 mRNAs, 28 lncRNAs, 45 circRNAs, and 2 miRNAs) and 153 RNAs negatively correlated with labor duration (122 mRNAs, 28 lncRNAs, and 3 miRNAs).
2022-01-01 | GSE188873 | GEO
Project description:The maintenance of coordinated powerful episodic contractions of the uterus is the crucial factor for normal labor. The uterine contractility is gradually enhanced with the progression of labor, which is related to the gene expression of myometrium, competing endogenous RNA (ceRNA) can also regulate the gene expression. To better understand the role of ceRNA network in labor, transcriptome sequencing was performed on the myometrium of 17 parturients at different labor duration. Furthermore, an correlated analysis was performed to identify mRNA, long non-coding RNA (lncRNA), circular RNA (circRNA), and microRNA (miRNA) which correlated with their expression levels and labor duration. Then, targeting relationships between mRNAs, lncRNAs, circRNAs and miRNAs were predicted, and the ceRNA regulatory network was established.This analysis identified 934 RNAs positively correlated with labor duration (859 mRNAs, 28 lncRNAs, 45 circRNAs, and 2 miRNAs) and 153 RNAs negatively correlated with labor duration (122 mRNAs, 28 lncRNAs, and 3 miRNAs).
2022-01-01 | GSE188407 | GEO