Dataset Information

Integrated Analysis of a Gene Correlation Network Identifies Critical Regulation of Fibrosis by lncRNAs and TFs in Idiopathic Pulmonary Fibrosis.

ABSTRACT: Idiopathic pulmonary fibrosis (IPF), the most frequent form of irreversible interstitial pneumonia with unknown etiology, is characterized by massive remodeling of lung architecture and followed by progressive loss of lung function. However, the key regulatory genes and the specific signaling pathways involved in the onset and progression of IPF still remain unclear. The present study is aimed at investigating the key role of long noncoding RNAs (lncRNAs) and transcription factors (TFs) involved in the pathogenesis of IPF through the integrated analysis of three gene expression profiles from the GEO dataset (GSE2052, GSE44723, and GSE24206). A total of 8483 differentially expressed genes (DEGs) including 988 upregulated and 7495 downregulated genes were filtered. Subsequently, following the intersection of these DEGs, 29 overlapping genes were identified and further analyzed using a bioinformatics approach. Furthermore, the protein-protein interaction (PPI) network was used to obtain 18 modules of related genes. The hub genes were identified through hypergeometric testing, which were closely associated with ubiquitin-mediated proteolysis, the spliceosome, and the cell cycle. The significant difference was observed in the expression of these key genes, such as lncRNA MALAT1, E2F1, and YBX1, in the peripheral blood of IPF patients when compared with those normal control subjects by real-time polymerase chain reaction (RT-PCR) analysis. This study indicated that lncRNA MALAT1, E2F1, and YBX1 may be key regulators for the pathogenesis of IPF.

SUBMITTER: Wang F

PROVIDER: S-EPMC7290873 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Integrated Analysis of a Gene Correlation Network Identifies Critical Regulation of Fibrosis by lncRNAs and TFs in Idiopathic Pulmonary Fibrosis.

Wang Fan F Li Pei P Li Feng-Sen FS

BioMed research international 20200602

Idiopathic pulmonary fibrosis (IPF), the most frequent form of irreversible interstitial pneumonia with unknown etiology, is characterized by massive remodeling of lung architecture and followed by progressive loss of lung function. However, the key regulatory genes and the specific signaling pathways involved in the onset and progression of IPF still remain unclear. The present study is aimed at investigating the key role of long noncoding RNAs (lncRNAs) and transcription factors (TFs) involved ...[more]

PMID: 32596346

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Project description:Background: Acute exacerbation of idiopathic pulmonary fibrosis (AE-IPF) is the most common cause of acute respiratory deterioration and death in IPF patients, with an elusive etiology and pathogenesis. Roles of noncoding RNAs in AE-IPF have been proposed, however, it was rare to find studies have systematically investigated the crosstalk among various transcripts until now. The construction of RNA functional networks such as lncRNA-miRNA-mRNA and circRNA-miRNA-mRNA interaction networks could therefore facilitate our understanding of RNA interactions in AE-IPF. The study aimed to identify the expression differences of RNA transcripts in RNA sequencing from AE-IPF patients and stable IPF (S-IPF), and further to construct the potential RNA networks. Methods: Five AE-IPF patients and five S-IPF were recruited in this study to perform RNA sequencing and miRNA sequencing. The differentially expression profiles of lncRNAs, circRNAs, miRNAs and mRNAs between AE-IPF and S-IPF patients were identified for further analyses. Gene Oncology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of were performed. The competing endogenous RNAs (ceRNAs) network of lncRNA/circRNA-miRNA-mRNA was constructed, and the core regulatory molecules in the ceRNA network were analyzed. Results: A total of 69 lncRNAs, 150 circRNAs, 27 miRNAs and 56 mRNAs were differentially expressed between AE-IPF and S-IPF. GO and KEGG analysis show that differentially expression mRNAs are significantly associated with tight junction and Hepatitis C, etc. In the ceRNA network, all nodes are directly or indirectly involved in the progression of AE-IPF. 1 lncRNAs, 6 circRNAs, 1 miRNAs, and 5 mRNAs constituted a hsa-miR-150-5p core sub-network. Based on the analysis of ceRNA sub-network, NR_120628/hsa-miR-150-5p/E2F3 and has-circ-0053515/hsa-miR-150-5p/E2F3 were considered to be the key ceRNA axis. Conclusions: In conclusion, this study reveals NR_120628/hsa-miR-150-5p/E2F3 and has-circ-0053515/hsa-miR-150-5p/E2F3 may be the key ceRNA axis in the regulation of AE-IPF, providing clues for future studies on their roles for AE-IPF. Our findings will help to explore the pathological mechanism of AE-IPF from a transcriptomic perspective and provide enlightenment for the biomarker and therapeutic targets of AE-IPF.

Dataset Information

Integrated Analysis of a Gene Correlation Network Identifies Critical Regulation of Fibrosis by lncRNAs and TFs in Idiopathic Pulmonary Fibrosis.

Publications

Integrated Analysis of a Gene Correlation Network Identifies Critical Regulation of Fibrosis by lncRNAs and TFs in Idiopathic Pulmonary Fibrosis.

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