Transcriptome sequencing and ceRNA (lncRNA-miRNA-mRNA) network construction in cardiac fibrosis and heart failure
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PROVIDER: PRJNA804873 | ENA |
REPOSITORIES: ENA
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Project description:Background: Cardiac fibrosis (CF) and heart failure (HF) are familiar heart diseases that are harmful to health, and severe CF can lead to HF. In this study, we tried to find their common potential molecular markers, which may help the diagnosis and treatment of CF and HF. Methods: Firstly, RNA library construction and high-throughput sequencing were performed. In addition, the DESeq2 package in R was used to screen genes with differentially expressed between different samples. Then, take the intersection of the differential mRNA, miRNA and lncRNA obtained for the two diseases. Thirdly, the ConsensusPathDB (CPDB) was used to perform biological functions enrichment for intersection differentially expressed mRNAs (DEmRNAs). Fourthly, construct gene interaction network and screen out key genes. Fifthly, RT-PCR verification was performed. Lastly, GSE104150 and GSE21125 data sets were utilized to validate the expression and diagnostic analysis. Results: There are 1477 DEmRNAs, 502 differentially expressed lncRNA (DElncRNAs) and 36 differentially expressed miRNA (DEmiRNAs) between CF and healthy control group. There are 607 DEmRNAs, 379 DElncRNAs and 42 DEmiRNAs between HF and healthy control group. CH and FH shared 146 DEmRNAs, 80 DElncRNAs, and 6 DEmiRNAs. Hsa-miR-144-3p, CCNE2, C9orf72, MAP3K20-AS1, LEF1-AS1, AC243772.2, FLJ46284 and AC239798.2 were keys genes in lncRNA-miRNA-mRNA network. In addition, hsa-miR-144-3p and CCNE2 may be considered as potential diagnostic gene biomarkers in CF and HF.
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Project description:Transcriptome sequencing lncRNA network construction in cardiac fibrosis and heart failure
| PRJNA806691 | ENA
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Project description:Background: Cardiac fibrosis (CF) and heart failure (HF) are familiar heart diseases that are harmful to health, and severe CF can lead to HF. In this study, we tried to find their common potential molecular markers, which may help the diagnosis and treatment of CF and HF. Methods: Firstly, RNA library construction and high-throughput sequencing were performed. In addition, the DESeq2 package in R was used to screen genes with differentially expressed between different samples. Then, take the intersection of the differential mRNA, miRNA and lncRNA obtained for the two diseases. Thirdly, the ConsensusPathDB (CPDB) was used to perform biological functions enrichment for intersection differentially expressed mRNAs (DEmRNAs). Fourthly, construct gene interaction network and screen out key genes. Fifthly, RT-PCR verification was performed. Lastly, GSE104150 and GSE21125 data sets were utilized to validation the expression and diagnostic analysis. Results: There are 1477 DEmRNAs, 502 differentially expressed lncRNA (DElncRNAs) and 36 differentially expressed miRNA (DEmiRNAs) between CF and healthy control group. There are 607 DEmRNAs, 379 DElncRNAs and 42 DEmiRNAs between HF and healthy control group. CH and FH shared 146 DEmRNAs, 80 DElncRNAs, and 6 DEmiRNAs. Hsa-miR-144-3p, CCNE2, C9orf72, MAP3K20-AS1, LEF1-AS1, AC243772.2, FLJ46284 and AC239798.2 were keys genes in lncRNA-miRNA-mRNA network. In addition, hsa-miR-144-3p and CCNE2 may be considered as potential diagnostic gene biomarkers in CF and HF.
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Project description:For patients with chronic thromboembolic pulmonary hypertension (CTEPH), it can lead to death if left untreated. In this study, we attempted to identify key genes and pathways that could help in the diagnosis and treatment of CTEPH. It also provides research direction for further understanding the molecular mechanism of CTEPH.Firstly, we extract RNA from blood samples to construct the library. Then, qualified libraries were sequenced using PE100 strategy on BGIseq platform. Subsequently, the DESeq2 package in R was used to screen differentially expressed mRNAs (DEmRNAs) and differentially expressed lncRNAs (DElncRNAs) of the CTEPH patient group and the normal control group. Afterwards, we performed functional enrichment and protein-protein interaction analysis of DEmRNAs. In addition, we also performed lncRNA-mRNA co-expression analysis and lncRNA-miRNA-mRNA network construction. A total of 437 DEmRNAs and 192 DElncRNAs were obtained. Subsequently, 205 pairs of interacting DEmRNAs and 232 pairs of lncRNA-mRNA relationship were obtained. Moreover, DEmRNAs were significantly enriched in chemokine signaling pathway, metabolic pathways, arachidonic acid metabolism and MAPK signaling pathway. In addition, only one regulation pathway of SOBP-has-miR-320b-LINC00472 was found through ceRNA network construction. In diagnostic analysis, the area under curve (AUC) of LINC00472, PIK3R6, SCN3A and TCL6 were greater than 0.7, which were 0.964, 0.893, 0.750 and 0.732, respectively. It is indicated that LINC00472, PIK3R6, SCN3A and TCL6 may as the potential diagnostic gene markers in CTEPH.
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