Functional characterization of human SLC41A1, a Mg<sup>2+</sup>transporter with similarity to prokaryotic MgtE Mg<sup>2+</sup>transporters
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it