Stringent Control of NFE2L3 (Nuclear Factor, Erythroid 2-Like 3; NRF3) Protein Degradation by FBW7 (F-box/WD Repeat-containing Protein 7) and Glycogen Synthase Kinase 3 (GSK3)
Bibliographic record
Abstract
The NFE2L3 transcription factor has been implicated in various cellular processes, including carcinogenesis, stress response, differentiation, and inflammation. Previously it has been shown that NFE2L3 has a rapid turnover and is stabilized by proteasomal inhibitors. The mechanisms regulating the degradation of this protein have not been investigated. Here we report ubiquitination of NFE2L3 and demonstrate that F-box/WD repeat-containing protein 7 (FBW7 or FBWX7), a component of Skp1, Cullin 1, F-box containing complex (SCF)-type E3 ligase, is the E3 ligase mediating the degradation of NFE2L3. We showed that FBW7 interacts with NFE2L3 and that dimerization of FBW7 is required for the degradation of the transcription factor. We also demonstrate that the kinase glycogen synthase kinase 3 (GSK3) mediates the FBW7-dependent ubiquitination of NFE2L3. We show phosphorylation of NFE2L3 by GSK3 and its significance in the regulation of NFE2L3 by the tumor suppressor FBW7. FBW7 abrogated NFE2L3-mediated repression of the NAD(P)H: quinone oxidoreductase 1 (NQO1) gene antioxidant response element (ARE). Our findings reveal FBW7 and GSK3 as novel regulators of the NFE2L3 transcription factor and a potential mechanism by which FBW7 might regulate detoxification and the cellular response to stress.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".