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  • Title: Whole transcriptome analysis of the differential RNA profiles and associated competing endogenous RNA networks in LPS-induced acute lung injury (ALI).
    Author: Teng X, Liao J, Zhao L, Dong W, Xue H, Bai L, Xu S.
    Journal: PLoS One; 2021; 16(5):e0251359. PubMed ID: 33961683.
    Abstract:
    Acute lung injury (ALI) is a serious inflammation disease usually arises alveolar epithelial membrane dysfunction and even causes death. Therefore, the aims of this study are to screen the differentially expressed lncRNAs, circRNAs, miRNAs, and mRNAs in ALI based on the high-throughput sequencing. The lipopolysaccharide (LPS)-induced ALI mouse model was established, the injury of ALI mouse model was evaluated through histological analysis with hemotoxylin and eosin (H & E) staining assay, dry/wet ratio, infiltrated-immune cells, ET-1 mRNA expression and released-proinflammation factors. Then, expression data of lncRNAs, circRNAs, miRNAs and mRNAs in ALI were acquired using whole-transcriptome sequencing. The differential expression of lncRNAs (DE lncRNAs), circRNAs (DE circRNAs), miRNAs (DE miRNAs) and mRNAs (DE mRNAs) were identified, and the lncRNA-miRNA-mRNA network and circRNA-miRNA-mRNA network were constructed, and the biological function of target genes were annotated based on bioinformatics analysis. In the present study, the LPS-induced ALI mouse model was successfully established. The biological analysis results showed that total 201 DE lncRNAs, 172 DE circRNAs, 62 DE miRNAs, and 3081 DE mRNAs were identified in ALI. The 182 lncRNA-miRNA-mRNA networks and 32 circRNA-miRNA-mRNA networks were constructed were constructed based on the correlation between lncRNAs/circRNAs, miRNAs, mRNAs. The biological function analysis indicated that TNF signaling pathway, chemokine signaling pathway and so on involved in ALI. In the present study, the differential expression coding and non-coding RNAs (ncRNAs) in ALI were identified, and their regulatory networks were constructed. There might provide the potential biomarkers and underlying mechanism for ALI diagnosis and treatment.
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