Hypoxia-inducible Factor-1 Deficiency Results in Dysregulated Erythropoiesis Signaling and Iron Homeostasis in Mouse Development
Bibliographic record
Abstract
Hypoxia-inducible factor-1 (HIF-1) regulates the transcription of genes whose products play critical roles in energy metabolism, erythropoiesis, angiogenesis, and cell survival. Limited information is available concerning its function in mammalian hematopoiesis. Previous studies have demonstrated that homozygosity for a targeted null mutation in the Hif1alpha gene, which encodes the hypoxia-responsive alpha subunit of HIF-1, causes cardiac, vascular, and neural malformations resulting in lethality by embryonic day 10.5 (E10.5). This study revealed reduced myeloid multilineage and committed erythroid progenitors in HIF-1alpha-deficient embryos, as well as decreased hemoglobin content in erythroid colonies from HIF-1alpha-deficient yolk sacs at E9.5. Dysregulation of erythropoietin (Epo) signaling was evident from a significant decrease in mRNA levels of Epo receptor (EpoR) in Hif1alpha-/- yolk sac as well as Epo and EpoR mRNA in Hif1alpha-/- embryos. The erythropoietic defects in HIF-1alpha-deficient erythroid colonies could not be corrected by cytokines, such as vascular endothelial growth factor and Epo, but were ameliorated by Fe-SIH, a compound delivering iron into cells independently of iron transport proteins. Consistent with profound defects in iron homeostasis, Hif1alpha-/- yolk sac and/or embryos demonstrated aberrant mRNA levels of hepcidin, Fpn1, Irp1, and frascati. We conclude that dysregulated expression of genes encoding Epo, EpoR, and iron regulatory proteins contributes to defective erythropoiesis in Hif1alpha-/- yolk sacs. These results identify a novel role for HIF-1 in the regulation of iron homeostasis and reveal unexpected regulatory differences in Epo/EpoR signaling in yolk sac and embryonic erythropoiesis.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".