Further Elucidation of the Mechanism of Iron Transport Form Plasma Transferrin to Mitochondrial Ferrochelatase: Further Evidence for the “Kiss and Run” Hypothesis
Bibliographic record
Abstract
Abstract Normal hemoglobinization of immature red blood cells (RBC) requires iron (Fe) uptake from transferrin (Tf), mediated by Tf receptors (TfR). Following the binding of Fe(III)2-Tf to TfR on the erythroid cell membrane, the Tf-TfR complexes are internalized via endocytosis, following which Fe is released from Tf by a process involving endosomal acidification and reduction by Steap3. Fe2+ is then transported across the endosomal membrane by the divalent metal transporter 1 (DMT1). Unfortunately, the post-endosomal path of Fe within cells remains elusive or is, at best, controversial. It has been commonly accepted that a low molecular weight intermediate chaperones Fe in transit from endosomes to mitochondria and other sites of utilization; however, this much sought Fe binding intermediate has never been identified. In erythroid cells, more than 90% of Fe has to enter mitochondria where ferrochelatase, the final enzyme in the heme biosynthetic pathway that inserts Fe2+ into protoporphyrin IX, resides. Indeed, strong evidence exists for specific targeting of Fe toward mitochondria in developing red blood cells in which Fe acquired from Tf continues to flow into mitochondria even when the synthesis of protoporphyrin IX is suppressed. Thus, it has been hypothesized (Ponka P. Blood 89:1, 1997) that, in hemoglobin-producing cells, there is a direct relaying of iron from the endosomal machinery to that of the mitochondria. Numerous reports from our laboratory support this hypothesis: 1) Iron acquired from Tf accumulates in mitochondria even when the synthesis of protoporphyrin IX is inhibited (Richardson et al. Blood 87:3477,1996); 2) Endosome mobility is essential for the efficient incorporation of 59Fe from 59Fe-Tf-labeled endosomes into heme (Zhang et al. Blood 105:368, 2005) and, 3) Confocal laser microscopy shows that in reticulocytes, endosomes continuously traverse the cytosol and touch mitochondria (Sheftel et al. Blood 110: 125, 2007). Based on this, we propose that erythroid precursors have special adaptations that facilitate the high rate of iron transport from endosomes to mitochondria to meet the exceptionally high demand for heme synthesis. Our lab has previously shown, using 3D live confocal imaging, that the iron delivery pathway in developing RBC involves a transient interaction of endosomes with mitochondria. To further demonstrate the interaction of these organelles, we used a novel method based on flow cytometry analyses (flow sub-cytometry) of lysates obtained from reticulocytes with fluorescently labeled endosomes (Alexa Green Transferrin) and mitochondria (MitoTracker Deep Red). Using this strategy, we have identified three distinct populations: endosomes, mitochondria, and a population double-labeled with both fluorescent markers representing endosomes interacting with mitochondria. This strategy has been used in studies on reticulocytes and erythroblasts subjected to various experimental conditions. In this study, we intended to identify molecular partners involved in the endosme-mitochondria interaction. Using co-immunoprecipitation and pull-down strategies, we attempted to recognize proteins interacting with the extra-endosomal (intracellular) loops of DMT1, which may be involved in interactions with mitochondria. The co-immunoprecipitated proteins were separated based on their molecular weights, stained using Coomassie and/or Silver gel and identified by mass spectrometry and western blotting. Using these strategies, we co-immunoprecipitated (from MEL cells and reticulocytes lysates) proteins that were pulled down with DMT1. Using this approach, we have identified the voltage-dependent anion channel (VDAC), which is located at the outer membrane of the mitochondria (Graham, et al. Curr Top Dev Biol. 59: 87, 2004) as one of DMT1 interacting partners using western blotting and specific antibodies against VDAC. These results indicate the physical contact between endosomes and mitochondria. In addition, to define the possible role of DMT1-VDAC interactions in mediating iron uptake, we used a siRNA approach to silence VDAC expression in MEL cells and then measured 59Fe incorporation into heme. These studies revealed decreased 59Fe incorporation into MEL cells with silenced VDAC. Our findings provide a strong support for the hypothesis that this outer-membrane mitochondrial protein is involved in the interaction with endosomes. Disclosures No relevant conflicts of interest to declare.
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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) | 0.000 | 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".