Iron targeting to mitochondria in erythroid cells
Bibliographic record
Abstract
Immature erythroid cells have an exceptionally high capacity to synthesize haem that is, at least in part, the result of the unique control of iron metabolism in these cells. In erythroid cells the vast majority of Fe released from endosomes must cross both the outer and the inner mitochondrial membranes to reach ferrochelatase, which inserts Fe into protoporphyrin IX. Based on the fact that Fe is specifically targeted into erythroid mitochondria, we have proposed that a transient mitochondria-endosome interaction is involved in Fe transfer to ferrochelatase [Ponka (1997) Blood 89, 1-25]. In this study, we examined whether the inhibition of endosome mobility within erythroid cells would decrease the rate of (59)Fe incorporation into haem. We found that, in reticulocytes, the myosin light-chain kinase inhibitor, wortmannin, and the calmodulin antagonist, W-7, caused significant inhibition of (59)Fe incorporation from (59)Fe-transferrin-labelled endosomes into haem. These results, together with confocal microscopy studies using transferrin and mitochondria labelled by distinct fluorescent markers, suggest that, in erythroid cells, endosome mobility, and perhaps their contact with mitochondria, plays an important role in a highly efficient utilization of iron for haem synthesis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".