Intracellular kinetics of iron in reticulocytes: evidence for endosome involvement in iron targeting to mitochondria
Bibliographic record
Abstract
In erythroid cells the vast majority of iron (Fe) released from endosomes must cross both the outer and the inner mitochondrial membranes to reach ferrochelatase that inserts Fe into protoporphyrin IX. In the present study, we developed a method whereby a cohort of 59Fe-transferrin (Tf)-laden endosomal vesicles were generated, from which we could evaluate the transfer of 59Fe into mitochondria. Iron chelators, dipyridyl or salicylaldehyde isonicotinoyl hydrazone (SIH), were able to bind the 59Fe when they were present during a 37 degrees C incubation; however, addition of these agents only during lysis at 4 degrees C chelated virtually no 59Fe. Bafilomycin A1 (which prevents endosome acidification) and succinylacetone (an inhibitor of 5-aminolevulinate dehydratase) prevented endosomal 59Fe incorporation into heme. Importantly, both the myosin light chain kinase inhibitor wortmannin and the calmodulin antagonist, N-(6-aminohexyl)-5-chloro-1-naphthalene-sulfonamide (W-7), caused significant inhibition of 59Fe incorporation from 59Fe-Tf-labeled endosomes into heme, suggesting that myosin is required for Tf-vesicle movement. Our results reaffirm the astonishing efficiency of Tf-derived Fe utilization in hemoglobin (Hb)-producing cells and demonstrate that very little of this Fe is present in a chelatable pool. Collectively, these results are congruent with our hypothesis that a transient endosome-mitochondrion interaction mediates iron transfer between these organelles.
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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 | 0.001 |
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".