Characteristics of Atmospheric Fine Particulate Matter (PM ) Induced Differentially Expressed Proteins Determined by Proteomics and Bioinformatics Analyses.

Kai Zheng; Ying Cai; Bing Yu Wang; Shuang Jian Qin; Bo Ru LI; Hai Yan Huang; Xiao Yun Qin; Ding Xin Long; Zhao Hui Zhang; Xin Yun XU

Return

Characteristics of Atmospheric Fine Particulate Matter (PM ) Induced Differentially Expressed Proteins Determined by Proteomics and Bioinformatics Analyses.

Author: Kai ZHENG ^{1
,

2} ; Ying CAI ^{1
,

2} ; Bing Yu WANG ^{1
,

2} ; Shuang Jian QIN ^{3
,

4} ; Bo Ru LI ^{3
,

4} ; Hai Yan HUANG ² ; Xiao Yun QIN ² ; Ding Xin LONG ⁵ ; Zhao Hui ZHANG ⁵ ; Xin Yun XU ²
Author Information

1. School of Public Health, University of South China, Hengyang 421001, Hunan, China
2. Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, Guangdong, China.
3. Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, Guangdong, China
4. Xiangya School of Public Health, Central South University, Changsha 410078, Hunan, China.
5. School of Public Health, University of South China, Hengyang 421001, Hunan, China.
Publication Type:Journal Article
Keywords: Bioinformatics; Differentially expressed proteins; PM2.5; Proteomics; Weighted correlation network analysis
MeSH: Air Pollutants; analysis; Bronchi; drug effects; metabolism; Computational Biology; Epithelial Cells; drug effects; metabolism; Gene Expression; drug effects; Humans; Mass Spectrometry; Particle Size; Particulate Matter; analysis; Proteomics
From: Biomedical and Environmental Sciences 2020;33(8):583-592
CountryChina
Language:English
Abstract: Objective:To screen the differentially expressed proteins (DEPs) in human bronchial epithelial cells (HBE) treated with atmospheric fine particulate matter (PM ).
Methods:HBE cells were treated with PM 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 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 -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 -associated carcinogenesis.