Hypoxia regulates the ferrous iron uptake and reactive oxygen species level via divalent metal transporter 1 (DMT1) Exon1B by hypoxia‐inducible factor‐1
Bibliographic record
Abstract
Hypoxia has been shown to increase the expression of a variety of proteins involved in iron homeostasis, including ceruloplasmin, transferrin, and transferring receptor. Divalent metal transporter 1 (DMT1) is a transmembrane protein that is important in divalent metal ion transport, in particular iron. Although previous studies have provided that DMT1 exon1A is regulated by hypoxia, little is known about the relationship between DMT1 exon1B and hypoxia. Hypoxia-inducible factor 1 (HIF-1) is a transcription factor which is stabilized when mammalian cells are subjected to hypoxia. In this study, we have identified a functional hypoxia-response element (HRE) at position of -327 to -323 (-ACGTG-) in DMT1 exon1B promoter using a combination of bioinformatics and biological approaches. Both the total cellular iron and ferrous uptake increased after hypoxia, decreased after DMT1 RNA interference. Reactive oxygen species (ROS) were also changed by +iron responsive element (IRE) DMT1 exon1B overexpression. These findings implicated DMT1 exon1B was a target gene for HIF-1. Hypoxia might affect cellular iron uptake through regulating the expression of DMT1. When iron was present in excess, cells might be damaged by the ROS production.
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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".