Transcriptomics

Dataset Information

0

HOCL induced airway epithelial gene expression


ABSTRACT: In inflammatory diseases of the airway, a high level (estimated to be as high as 8 mM) of HOCl can be generated through a reaction catalyzed by the leukocyte granule enzyme myeloperoxidase (MPO). HOCl, a potent oxidative agent, causes extensive tissue injury through its reaction with various cellular substances, including thiols, nucleotides, and amines. In addition to its physiological source, HOCl can also be generated by chlorine gas inhalation from an accident or a potential terrorist attack. Despite the important role of HOCl-induced airway epithelial injury, the underlying molecular mechanism is largely unknown. In the present study, we found that HOCl induced dose-dependent toxicity in airway epithelial cells. By transcription profiling using GeneChip, we identified a battery of HOCl-inducible antioxidant genes, all of which have been reported previously to be regulated by nuclear factor erythroid-related factor 2 (Nrf2), a transcription factor that is critical to the lung antioxidant response. Consistent with this finding, Nrf2 was found to be activated time and dose dependently by HOCl. Although the epidermal growth factor receptor-MAPK pathway was also highly activated by HOCl, it was not involved in Nrf2 activation and Nrf2-dependent gene expression. Instead, HOCl-induced cellular oxidative stress appeared to lead directly to Nrf2 activation. To further understand the functional significance of Nrf2 activation, small interference RNA was used to knock down Nrf2 level by targeting Nrf2 or enhance nuclear accumulation of Nrf2 by targeting its endogenous inhibitor Keap1. By both methods, we conclude that Nrf2 directly protects airway epithelial cells from HOCl-induced toxicity.

ORGANISM(S): Homo sapiens

PROVIDER: GSE11630 | GEO | 2008/06/03

SECONDARY ACCESSION(S): PRJNA106147

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2008-06-18 | E-GEOD-11630 | biostudies-arrayexpress
| PRJNA106147 | ENA
2009-07-13 | E-GEOD-11952 | biostudies-arrayexpress
2009-04-01 | GSE15457 | GEO
2023-05-01 | GSE226063 | GEO
2016-09-22 | GSE68156 | GEO
2010-09-30 | E-GEOD-19027 | biostudies-arrayexpress
2010-10-01 | GSE19027 | GEO
2009-07-13 | GSE11952 | GEO
2020-01-23 | GSE144068 | GEO