Transcriptomics

Dataset Information

0

Transcriptomic Profiling of Human Corneal Epithelial Cells Exposed to Airborne Fine Particulate Matter (PM2.5)


ABSTRACT: Objectives: To explore the molecular mechanisms of PM2.5-induced dysfunction in human corneal epithelial cells (HCECs). Methods: RNA-Seq was performed to identify the differentially expressed genes (DEGs) in PM2.5-exposed HCECs compared to unexposed condition, which was followed by validation via real-time PCR (qRT-PCR). Results: A total of 434 DEGs—240 up-regulated and 194 down-regulated—were identified in PM2.5-exposed HCECs rather than unexposed HCECs. The expression of a few genes related to proliferation, inflammation, and aryl hydrocarbon stimulation were significantly altered by PM2.5 exposure, which may contribute to PM2.5-related corneal diseases. Conclusion: The present study identified the altered expression of hundreds of genes in HCECs exposed to PM2.5, which suggests the importance of PM2.5 for cornea health.

ORGANISM(S): Homo sapiens

PROVIDER: GSE135262 | GEO | 2022/08/01

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

| PRJNA810770 | ENA
| PRJNA558060 | ENA
2024-01-22 | GSE186404 | GEO
2021-06-21 | GSE178513 | GEO
2023-05-23 | GSE220306 | GEO
2023-05-23 | GSE220252 | GEO
2023-08-01 | GSE237795 | GEO
2016-03-25 | E-GEOD-79570 | biostudies-arrayexpress
2022-10-30 | GSE216512 | GEO
2022-10-10 | GSE215102 | GEO