Dynamic Traffic through the Recycling Compartment Couples the Metal Transporter Nramp2 (DMT1) with the Transferrin Receptor
Bibliographic record
Abstract
Nramp2 (natural resistance-associated macrophage protein 2, also called DMT1 and Slc11a2) is a proton-dependent cation transporter, which plays a central role in iron homeostasis. To study the subcellular distribution and dynamics of the transporter, we generated a construct encoding the long splice variant of Nramp2 (isoform II) tagged with the hemagglutinin epitope on a predicted extracellular loop. Cells stably transfected with this construct revealed the presence of Nramp2 in both the plasma membrane and in an endomembrane compartment. By labeling the exofacial epitope with a pH-sensitive fluorescent indicator, we were able to establish that this variant of Nramp2 resides in a vesicular compartment with an acidic lumen (pH 6.2) and that acidification was maintained by vacuolar-type ATPases. Dual labeling experiments identified this compartment as sorting and recycling endosomes. Kinetic studies by surface labeling with 125I-labeled antibodies established that the fraction of endomembrane Nramp2 was approximately equal to that on the cell surface. The two components are in dynamic equilibrium: surface transporters are internalized continuously via a clathrin and dynamin-dependent process, whereas endosomal Nramp2 is recycled to the plasmalemma by a phosphatidylinositol 3-kinase-dependent exocytic process. Depletion of cholesterol had no discernible effect on Nramp2 internalization, suggesting that rafts or caveolae are not essential. Because the pH at the cell surface and in endosomes differs by >or=1 unit, the rates of transport of Nramp2 at the surface and in endomembrane compartments will differ drastically. Their subcellular colocalization and parallel trafficking suggest that Nramp2 and transferrin receptors are functionally coupled to effect pH-dependent iron uptake across the endosomal membrane.
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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".