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1.
Biomed Environ Sci ; 33(9): 680-689, 2020 Sep 20.
Article in English | MEDLINE | ID: mdl-33106213

ABSTRACT

OBJECTIVE: To investigate the effect of c-fos gene silencing on differentially expressed proteins (DEPs) in human bronchial epithelial (HBE) cells after exposure to fine particulate matter (PM 2.5). METHODS: HBE cells and c-fos-silenced HBE cells were exposed to 50 µg/mL PM 2.5, LC-MS/MS and tandem mass tag (TMT) labeling methods were combined with bioinformatics methods, and DEPs and interaction networks were identified. RESULTS: In the HBE group, 414 DEPs were screened, of which 227 were up-regulated and 187 down-regulated. In the c-fos silenced HBE group, 480 DEPs were screened, including 240 up-regulated proteins and 240 down-regulated proteins. KEGG annotations showed that DEPs in the HBE group are mainly concentrated in the glycolysis/gluconeogenesis pathway and those in the c-fos silenced group are concentrated mainly in endoplasmic reticulum and the processing of proteins. Additionally, the abnormal expression of GPRC5C, DKK4, and UBE2C was identified in top 15 DEPs. After constructing the protein interaction network, 20 Hub proteins including HNRNPA2B1, HNRNPL, RPS15A, and RPS25 were screened from the HBE group and the c-fos silenced HBE group. CONCLUSION: c-fos gene affected the expression of cancer-related proteins. Our results provided a scientific basis for further study of PM 2.5-induced carcinogenesis mechanism.


Subject(s)
Air Pollutants/toxicity , Bronchi/drug effects , Gene Expression Regulation , Gene Silencing , Genes, fos/genetics , Particulate Matter/toxicity , Respiratory Mucosa/drug effects , Bronchi/metabolism , Cells, Cultured , Humans , Proteomics , Respiratory Mucosa/metabolism
2.
Biomed Environ Sci ; 33(8): 583-592, 2020 Aug 20.
Article in English | MEDLINE | ID: mdl-32933610

ABSTRACT

OBJECTIVE: To screen the differentially expressed proteins (DEPs) in human bronchial epithelial cells (HBE) treated with atmospheric fine particulate matter (PM 2.5). METHODS: HBE cells were treated with PM 2.5 samples from Shenzhen and Taiyuan for 24 h. To detect overall protein expression, the Q Exactive mass spectrometer was used. Gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG), and Perseus software were used to screen DEPs. RESULTS: Overall, 67 DEPs were screened in the Shenzhen sample-treated group, of which 46 were upregulated and 21 were downregulated. In total, 252 DEPs were screened in the Taiyuan sample-treated group, of which 134 were upregulated and 118 were downregulated. KEGG analysis demonstrated that DEPs were mainly enriched in ubiquitin-mediated proteolysis and HIF-1 signal pathways in Shenzhen PM 2.5 samples-treated group. The GO analysis demonstrated that Shenzhen sample-induced DEPs were mainly involved in the biological process for absorption of various metal ions and cell components. The Taiyuan PM 2.5-induced DEPs were mainly involved in biological processes of protein aggregation regulation and molecular function of oxidase activity. Additionally, three important DEPs, including ANXA2, DIABLO, and AIMP1, were screened. CONCLUSION: Our findings provide a valuable basis for further evaluation of PM 2.5-associated carcinogenesis.


Subject(s)
Air Pollutants/analysis , Bronchi/metabolism , Epithelial Cells/metabolism , Gene Expression/drug effects , Particulate Matter/analysis , Bronchi/drug effects , Computational Biology , Epithelial Cells/drug effects , Humans , Mass Spectrometry , Particle Size , Proteomics
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