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Record W4236433348 · doi:10.1182/blood.v108.11.268.268

Direct Interorganellar Transfer of Iron from Endosome to Mitochondrion.

2006· article· en· W4236433348 on OpenAlexaff
Alex D. Sheftel, An‐Sheng Zhang, C. K. Brown, Orian S. Shirihai, Prem Ponka

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsMcGill University
Fundersnot available
KeywordsEndosomeEndocytosisFerrochelataseTransferrin receptorInternalizationCell biologyMitochondrionChemistryBiochemistryTransferrinVesicleBiophysicsCytoplasmHemeReceptorBiologyMembraneEnzyme

Abstract

fetched live from OpenAlex

Abstract During differentiation, immature erythroid cells acquire vast amounts of iron at a breakneck rate. Proper coordination of iron delivery and utilization in heme synthesis is essential and disruption of this process likely underlies iron loading disorders such as sideroblastic anemia and myelodysplastic syndrome with ringed sideroblasts. Iron is taken up by the cells via receptor mediated endocytosis, a process whereby diferric transferrin (Tf) binds to its cognate receptor (TfR) on the erythroid cell plasma membrane, followed by internalization of the Tf-TfR complex. Subsequent to endocytosis, the endosome is acidified by a H+-ATPase, allowing the release of iron from Tf. Through an unknown mechanism, iron is targeted to the inner membrane of the mitochondria, where the enzyme that inserts Fe into protoporphyrin IX, ferrochelatase, resides. Although it has been demonstrated that the divalent metal transporter, DMT1, is responsible for the egress of reduced Fe from the vesicle, the immediate fate of the iron atoms after their transport across the vesicular membrane remains unknown. Because reduced iron is a strong pro-oxidant, contributing to free radical formation through Fenton chemistry, it has been predicted that an iron binding molecule shuttles Fe from the endosome to mitochondria. However, this much sought intermediate, that would constitute the labile iron pool (LIP), has yet to be identified. Thus, we hypothesize that, in Hb-producing cells, there is a direct relaying of Fe from the endosomal machinery to that of the mitochondria. By loading the cytoplasm of reticulocytes with an impermeant form of the iron chelator, desferrioxamine, (hDFO) which would intercept Fe that traversed the cytosol bound to the putative LIP intermediate, we show that 59Fe, delivered via Tf, can bypass the cytosol. Importantly, iron delivered to these cells in a form that freely diffuses across the membrane was significantly prevented from being used for heme synthesis in hDFO-laden reticulocytes. We have also used time-lapse confocal microscopy to track iron-loaded endosomes and mitochondria with high spatial and temporal resolutions. Using this approach, we have found that endosomes are very mobile organelles that continuously traverse the cytosol and touch a number of mitochondria multiple times. Moreover, cells treated with a fluorescent, mitochondria localizing iron indicator, exhibited an increase in chelatable, mitochondrial iron that was associated with proximity of Tf-containing vesicles to the mitochondria. Addition of N-(6-aminohexyl)-5-chloro-1-naphthalene-sulfonamide (W-7), a calmodulin antagonist that is known to block the myosin motor, to cells that had been treated with fluorescent holo-Tf, inhibited endosomal movement. Interestingly, W-7 treatment of cells whose endosomes were loaded with 59Fe-Tf blocked both incorporation of that iron into heme or mobilization of the iron by chelators. Finally, by electron microscopy of reticulocytes that were labeled with a horse radish peroxidase-Tf conjugate, we observed a tubular, Tf-containing network that was associated with mitochondria. Together, these data are congruent with our hypothesis that iron is directly delivered to mitochondria by endosomes via a transient yet intimate relationship.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.006
GPT teacher head0.208
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations16
Published2006
Admission routes1
Has abstractyes

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