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.
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.
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.
Project description:The Long non-coding RNA (LncRNA) miRNA competing endogenous RNA (ceRNA) regulatory network play a pivotal role in the intricate orchestration of cardiovascular diseases, governing their onset and progression.In order to delve deeper into the ceRNA mechanism underlying myocardial ischemia-reperfusion injury (MIRI), we conducted a randomized division of six 8-week-old male C57BL/6J mice into two groups: the Sham group and the ischemia/reperfusion (I/R) group. Subsequently, we employed the Langendorff isolated heart perfusion system to carry out the experiment. Following the completion of the experiment, cardiac samples were meticulously collected and evenly partitioned into two segments: one for lncRNA library sequencing and the other for small RNA library sequencing. By leveraging the sequencing data, we meticulously scrutinized the disparities in lncRNA, miRNA, and mRNA expression profiles between the two sample sets, thereby unearthing the lncRNA-miRNA-mRNA ceRNA regulatory network that assumes a pivotal regulatory role in MIRI.
Project description:The Long non-coding RNA (LncRNA) miRNA competing endogenous RNA (ceRNA) regulatory network play a pivotal role in the intricate orchestration of cardiovascular diseases, governing their onset and progression.In order to delve deeper into the ceRNA mechanism underlying myocardial ischemia-reperfusion injury (MIRI), we conducted a randomized division of six 8-week-old male C57BL/6J mice into two groups: the Sham group and the ischemia/reperfusion (I/R) group. Subsequently, we employed the Langendorff isolated heart perfusion system to carry out the experiment. Following the completion of the experiment, cardiac samples were meticulously collected and evenly partitioned into two segments: one for lncRNA library sequencing and the other for small RNA library sequencing. By leveraging the sequencing data, we meticulously scrutinized the disparities in lncRNA, miRNA, and mRNA expression profiles between the two sample sets, thereby unearthing the lncRNA-miRNA-mRNA ceRNA regulatory network that assumes a pivotal regulatory role in MIRI.
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.
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.
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).