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OBJECTIVE: To investigate the differentially expressed microRNAs(miRNAs) in human embryonic lung fibroblast MRC-5 cells stimulated by transforming growth factor-β1(TGF-β1) using microarray chip, and screen for key genes and signaling pathways of fibroblast trans-differentiation. METHODS: The miRNA expression gene chip dataset GSE43992 on TGF-β1 stimulated MRC-5 cells were downloaded from high-throughput Gene Expression Omnibus(GEO) database of National Center for Biotechnology Information of the United States. The R language Limma package was used to screen the differentially expressed miRNAs. Corresponding target genes were predicted by miRWalk database performed by Gene Ontology(GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) signaling pathway enrichment analysis. The protein-protein interaction(PPI) network was constructed by the search tool for the Retrieval of Interacting Genes database. RESULTS: A total of five differentially expressed miRNAs were identified, including four up-regulated miRNAs and one down-regulated miRNA; and 42 corresponding differentially expressed target genes were predicted. GO analysis indicated that the target genes were significantly enriched in collagen catabolic process, extracellular matrix organization, membrane organization, collagen fibril organization, and cellular response to amino acid stimulus. The results of KEGG pathway analysis showed that the signaling pathways corresponding to miRNAs and target genes were mainly concentrated in 18 signaling pathways, that were mainly related to the age-ethnic signaling pathways and protein digestion and absorption miRNAs in tumors and diabetic complications. The core genes transfected into the myofibroblasts by the three fibroblasts screened by the PPI network were threonine kinase 1, estrogen receptor 1 and β-catenin. CONCLUSION: Five differentially expressed miRNAs, 42 target genes, 18 signaling pathways, and 3 core genes related to TGF-β1-induced MRC-5 cell trans-differentiation were screened. It can provide new reference for the treatment and research of many diseases including pneumoconiosis and pulmonary fibrosis.
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OBJECTIVE: To analyze the hotspots and related situations of pneumoconiosis research in China from 2001 to2017. METHODS: China National Knowledge Infrastructure and Wanfang Data were used to retrieve relevant literature on China's pneumoconiosis research from 2001 to 2017. Bibliometrics was used to analyze the distribution of publication time,regions,hotspots,authors and their institutions,carrier journals,keywords,etc. RESULTS: A total of 10 208 literature articles on pneumoconiosis research were screened. The number of published literature in 2001-2017 showed an upward trend year by year( P < 0. 01). Provinces in the Eastern area have the largest number of publications. The areas that have the largest number of publications were in Shandong Province,Beijing City and Hebei Province,followed by Anhui Province,Guangdong Province,Jiangsu Province,Liaoning Province,Shanxi Province and Henan Province. Beijing City,Hebei Province,Tianjin City,Liaoning Province,Anhui Province,Jiangsu Province,Hubei Province and Shanghai City are the hotspots for research on pneumoconiosis. The publications were seen in 1 173 journals. Five occupational medical professional periodicals such as Occupation and Health,Chinese Journal of Industrial Hygiene and Occupational Diseases,China Occupational Medicine,Chinese Journal of Industrial Medicine and Industrial Health and Occupational Diseases publish' the most literature on pneumoconiosis research,accounting for 26. 99% of the effective literature.Occupational disease prevention institutions and hospitals are the main organizations for publishing literatures. The focuses of pneumoconiosis research are silicosis and coal worker's pneumoconiosis,etc. CONCLUSION: Generally,the literature on the research of pneumoconiosis in China from 2001 to 2017 is increasing and is focus on some specific hotspots.Pneumoconiosis research has been specialized. An important carrier for publishing research results has been formed.
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OBJECTIVE: To analyze transforming growth factor-β1( TGF-β1)-induced differentially expressed genes( DEGs) in human embryonic lung fibroblast( IMR-90) using microarray,and to screen the key genes and signaling pathways related to trans-differentiation of fibroblast.METHODS: The gene chip GSE17518,attained from TGF-β1 stimulated IMR-90 cells,was downloaded from the Gene Expression Omnibus database.The DEGs were screened by GENE-E software.Then,the DEGs were imported into the DAVID online database for Gene Ontology( GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes( KEGG) pathway enrichment analysis.The proteinprotein interaction( PPI) network was constructed and the hub genes were screened using STRING database and Cytoscape software.RESULTS: A total of 394 DEGs related to TGF-β1 stimulation were identified,including 171 down-regulated genes and 223 up-regulated genes.The results of GO analysis showed that the DEGs were widely distributed in cytoplasm,cell membrane,extracellular matrix( ECM) and exosomes,regulating biological functions such as ECM organization,cell migration and adhesion,cell proliferation and apoptosis.The results of the KEGG pathway analysis indicated that most of DEGs were enriched in cell focal adhesion,ECM-receptor interaction and phosphoinositide 3 kinase-Protein kinase B( PI3K-Akt) signaling pathways.The PPI network screened 10 core genes,included nucleolar protein 2( NOP2),succinate dehydrogenase B,glutamyl-prolyl-tRNA synthetase( EPRS),FtsJ homolog 3( FTSJ3),prefoldin subunit 4,Ras-related C3 botulinum toxin substrate 2,signal recognition particle receptor subunit beta,succinate-Co A ligase GDPforming beta subunit,pumilio RNA binding family member 3( KIAA0020),and general vesicular transport factor p115.NOP2,EPRS,FTSJ3,KIAA0020 were mainly distributed in M1 module.The NOP2 is the core gene with the highest number of nodes in M1 module.CONCLUSION: A total of 10 core differential genes and 7 signaling pathways related to TGF-β1 stimulation were screened.Among them,focal adhesion,ECM-receptor interaction,PI3K-Akt and NOP2,EPRS,FTSJ3,KIAA0020 may provide new direction for research of mechanisms of abnormal activation of fibrotic diseases including silicosis in incidence and development of multiple lung fibrotic diseases.