Cellular response of lung fibroblasts and epithelial cells to particulate matter10 treatment examined via comparative transcriptome analysis

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Title
Cellular response of lung fibroblasts and epithelial cells to particulate matter10 treatment examined via comparative transcriptome analysis
Author(s)
Kunhyang Park; Kwangho Kim; Tae Young Ryu; Jinkwon Lee; Moo-Seung LeeMi-Young SonSeon-Jin LeeYoung-Jun ParkHyun-Soo ChoDae Soo Kim
Bibliographic Citation
Molecular Medicine Reports, vol. 25, no. 3, pp. 82-82
Publication Year
2022
Abstract
Particulate matter (PM) can be categorized by particle size (PM10, PM2.5 and PM1.0), which is an important factor affecting the biological response. Exposure to PM in the air (dust, smoke, dirt and biological contaminants) is clearly associated with lung disease (lung cancer, pneumonia and asthma). Although PM primarily affects lung epithelial cells, the specific response of related cell types to PM remains to be elucidated. The present study performed Gene Ontology (GO) analysis programs (Clustering GO and Database for Annotation, Visualization and Integrated Discovery) on differentially expressed genes in lung epithelial cells (WI 38 VA 13) and fibroblasts (WI 38) following treatment with PM10 and evaluated the cell specific biological responses related to cell proliferation, apoptosis, adhesion and extracellular matrix production. The results suggested that short or long term exposure to PM may affect cell condition and may consequently be related to several human diseases, including lung cancer and cardiopulmonary disease.
Keyword
PM10Epithelial cellsRNA-sequencingFibroblasts
ISSN
1791-2997
Publisher
Spandidos Publ Ltd
Full Text Link
http://dx.doi.org/10.3892/mmr.2022.12598
Type
Article
Appears in Collections:
Division of Bio Technology Innovation > Core Research Facility & Analysis Center > 1. Journal Articles
Division of Research on National Challenges > Environmental diseases research center > 1. Journal Articles
Division of Research on National Challenges > 1. Journal Articles
Division of Research on National Challenges > Stem Cell Convergenece Research Center > 1. Journal Articles
Division of A.I. & Biomedical Research > Digital Biotech Innovation Center > 1. Journal Articles
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