Functional characterization of human SLC41A1, a Mg<sup>2+</sup>transporter with similarity to prokaryotic MgtE Mg<sup>2+</sup>transporters
Bibliographic record
Abstract
We have begun to identify and characterize genes that are differentially expressed with low magnesium. One of these sequences conformed to the solute carrier SLC41A1. Real-time RT-PCR of RNA isolated from renal distal tubule epithelial [mouse distal convoluted tubule (MDCT)] cells cultured in low-magnesium media relative to normal media and in the kidney cortex of mice maintained on low-magnesium diets compared with those animals consuming normal diets confirmed that the SLC41A1 transcript is responsive to magnesium. Mouse SLC41A1 was cloned from MDCT cells, expressed in Xenopus laevis oocytes, and studied with two-electrode voltage-clamp studies. When expressed in oocytes, SLC41A1 mediates saturable Mg2+ uptake with a Michaelis constant of 0.67 mM. Transport of Mg2+ by SLC41A1 is rheogenic, voltage dependent, and not coupled to Na+ or Cl-. Expressed SLC41A1 transports a range of other divalent cations: Mg2+, Sr2+, Zn2+, Cu2+, Fe2+, Co2+, Ba2+, and Cd2+. The divalent cations Ca2+, Mn2+, and Ni2+ and the trivalent ion Gd3+ did not induce currents nor did they inhibit Mg2+ transport. The nonselective cation La3+ abolished Mg2+ uptake. The SLC41A1 transcript is present in many tissues, notably renal epithelial cells, and is upregulated in some tissues with magnesium deficiency. These studies suggest that SLC41A1 is a regulated Mg2+ transporter that might be involved in magnesium homeostasis in epithelial cells.
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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".