Hydrophobic residues and amino terminal phosphorylation site are essential for urate/urate exchange mediated by human glucose transporter 9, hSLC2A9 (908.10)
Bibliographic record
Abstract
Human urate homeostasis is achieved primarily in liver and kidney, where urate is significantly regulated by human SLC2A9a and 9b. These transporters show trans‐acceleration between urate and hexoses, and urate/urate; however, the mechanism has not been identified.Our preliminary data suggested that phosphorylation of hSLC2A9 is an important process for urate transport regulation and serine 9 has been postulated to be an important phosphorylation site in the N‐terminus of 9a. Objective:To investigate urate/urate trans‐acceleration mechanism mediated by9a,9b and their mutants. Methods: hSLC2A9 isoforms and mutants were over expressed in X. laevis oocytes. Urate/urate trans‐stimulation activities were determined by radiolabelled urate uptake and efflux measurements. Membrane protein expression levels were determined by Biotinylation and Western Blot analysis. Results:Urate trans‐stimulated urate flux and efflux in wild type hSLC2A9a and 9b and most of their mutants, except S9A and W110A in the predicted N‐terminal phosphorylation site and TM7 of 9a, respectively. This result suggests that substitution of alanine at S9 and W110, removes the asymmetry of the transporter, which normally allows for trans‐acceleration. These finding advance our understanding of how trans‐stimulation contributes to the regulation of urate and hexoses by hSLC2A9. Grant Funding Source : CIHR
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) | 0.002 | 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".