Egr-1 Mediates Hypoxia-Inducible Transcription of the <i>NDRG1</i> Gene through an Overlapping Egr-1/Sp1 Binding Site in the Promoter
Bibliographic record
Abstract
N-myc down-regulated gene 1 (NDRG1/Cap43) is inducible by a variety of environmental stressors, including hypoxia. The present study identified a cis-acting element mediating the transactivation of the NDRG1 gene in murine RAW264.7 macrophage cells treated with hypoxia or deferoxamine, an iron chelator mimicking hypoxia. Through a series of deletions of the promoter of NDRG1 luciferase constructs, a minimal cis-acting element conferring inducibility by hypoxia and deferoxamine was localized to an early growth response 1 (Egr-1) and Sp1 overlapping binding site. Electrophoretic mobility shift assay, antibody supershift assay, and mutations of the Egr-1 binding site confirmed the specific binding of Egr-1 protein to this Egr-1/Sp1 motif. In addition, hypoxia increased the level of Egr-1 protein that correlated with induction of NDRG1 expression at both RNA and protein levels. Transient transfection of the Egr-1 gene into HeLa cells also resulted in up-regulation of the NDRG1 mRNA. The role of Egr-1 was further verified by mutations in the Egr-1 binding site, which reduced promoter inducibility by hypoxia and deferoxamine. Furthermore, the induction of NDRG1 expression by hypoxia and deferoxamine was diminished by RNA interference knockdown of Egr-1 gene expression and in Egr-1-/- mouse embryonic fibroblasts (MEF) compared with Egr-1+/- MEFs. These results showed for the first time that Egr-1 regulates NDRG1 transcription through an overlapping Egr-1/Sp1 binding site that acts as a major site of positive regulation of the NDRG1 promoter by hypoxia signaling.
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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".