Particulate matter-induced gene expression patterns in human-derived cells based on 11 public gene expression datasets
Author:
Funder
Korea Environmental Industry & Technology Institute
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13258-024-01512-y.pdf
Reference26 articles.
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2. Barrett T et al (2012) NCBI GEO: archive for functional genomics data sets—update. Nucleic Acids Res 41:D991–D995
3. Chu J-H, Hart JE, Chhabra D, Garshick E, Raby BA, Laden F (2016) Gene expression network analyses in response to air pollution exposures in the trucking industry. Environ Health 15:101. https://doi.org/10.1186/s12940-016-0187-z
4. Guo C, Lv S, Liu Y, Li Y (2022) Biomarkers for the adverse effects on respiratory system health associated with atmospheric particulate matter exposure. J Hazard Mater 421:126760. https://doi.org/10.1016/j.jhazmat.2021.126760
5. Huang SK et al (2021) Effect of concentration and duration of particulate matter exposure on the transcriptome and DNA methylome of bronchial epithelial cells. Environ Epigenetics 7:dvaa022. https://doi.org/10.1093/eep/dvaa022
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