Iron transport by Nramp2/DMT1: pH regulation of transport by 2 histidines in transmembrane domain 6
Bibliographic record
Abstract
Mutations at natural resistance-associated macrophage protein 1 (Nramp1) impair phagocyte function and cause susceptibility to infections while mutations at Nramp2 (divalent metal transporter 1 [DMT1]) affect iron homeostasis and cause severe microcytic anemia. Structure-function relationships in the Nramp superfamily were studied by mutagenesis, followed by functional characterization in yeast and in mammalian cells. These studies identify 3 negatively charged and highly conserved residues in transmembrane domains (TM) 1, 4, and 7 as essential for cation transport by Nramp2/DMT1. The introduction of a charged residue (Gly185Arg) in TM4 found in the naturally occurring microcytic anemia mk (mouse) and Belgrade (rat) mutants is shown to cause a partial or complete loss of function in mammalian and yeast cells, respectively. A pair of mutation-sensitive and highly conserved histidines (His267, His272) was identified in TM6. Surprisingly, inactive His267 and His272 mutants could be rescued by lowering the pH of the transport assay. This indicates that His267/His272 are not directly involved in metal binding but, rather, play an important role in pH regulation of metal transport by Nramp proteins.
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 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 | 0.000 |
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 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".