PUBLICATION
Identification of the interactive interface and phylogenic conservation of the Nrf2-Keap1 system
- Authors
- Kobayashi, M., Itoh, K., Suzuki, T., Osanai, H., Nishikawa, K., Katoh, Y., Takagi, Y., and Yamamoto, M.
- ID
- ZDB-PUB-020820-4
- Date
- 2002
- Source
- Genes to cells : devoted to molecular & cellular mechanisms 7(8): 807-820 (Journal)
- Registered Authors
- Kobayashi, Makoto, Nakajima-Takagi, Yaeko, Nishikawa, Keizo, Osanai, Hitoshi, Suzuki, Takafumi, Yamamoto, Masayuki
- Keywords
- none
- MeSH Terms
-
- 3T3 Cells
- Adaptor Proteins, Signal Transducing*
- Amino Acid Sequence
- Animals
- Base Sequence
- PubMed
- 12167159 Full text @ Genes Cells
Abstract
BACKGROUND: The transcription factor Nrf2 and its negative regulator Keap1 play important roles in transcriptional induction of a set of detoxifying and anti-oxidant enzymes. To gain an insight into our present enigma as to how cells receive oxidative and electrophilic signals and transduce them to Nrf2, we have developed a zebrafish model system for molecular toxicological studies. RESULTS: We systematically cloned zebrafish cytoprotective enzyme cDNAs and found their expression to be efficiently induced by electrophilic agents. We consequently identified the presence of Nrf2 and Keap1 in zebrafish. Both loss- and gain-of-function analyses demonstrated that Nrf2 is the primary regulator of a subset of cytoprotective enzyme genes, while Keap1 suppresses Nrf2 activity in zebrafish. An ETGE motif, critical for the Nrf2-Keap1 interaction, was identified in the Neh2 domain of Nrf2 by reverse two-hybrid screening and found to be indispensable for the regulation of Nrf2 activity in zebrafish.
CONCLUSION: Taken together, these results indicate that the Nrf2-Keap1 system is highly conserved among vertebrates and that the interface between Nrf2 and Keap1 forms an important molecular basis of this regulatory system.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping