Transition states of the high-affinity rabbit Na<sup>+</sup>/glucose cotransporter SGLT1 as determined from measurement and analysis of voltage-dependent charge movements
Bibliographic record
Abstract
The charge-membrane voltage (Q-V) distribution of wild-type rabbit Na(+)/glucose transporter (rSGLT1) expressed in Xenopus oocytes was investigated in the absence of glucose, using the two-electrode voltage-clamp technique. Although this distribution is generally believed to be well represented by a two-state Boltzmann equation, we recently provided evidence for the existence of at least four states (Krofchick D and Silverman M. Biophys J 84: 3690-3702, 2003), confirming an earlier finding for human SGLT1 (Chen XZ, Coady MJ, and Lapointe JY. Biophys J 71: 2544-2552, 1996). We now extend our study of rSGLT1 pre-steady-state currents, employing high-resolution measurement and analysis of the Q-V distribution. A ramp, instead of a step, voltage change was used to prevent saturation of the apparatus in the first approximately 1 ms. Transient currents were integrated out to 150 ms, instead of the standard 50-100 ms. Measurements were taken every 10 mV instead of the standard 20 mV. The Q-V distribution was fit with a two-, three-, and four-state Boltzmann equation and was described best by the three-state equation. The three-state fit produced two valences of 0.45 and 1.1 at two V(0.5) values of -48 and -7.7, respectively. Our findings are critically compared with other published studies and the differences are discussed. An implication of the three-state fit is that the turnover rate of rSGLT1 is 34 s(-1), i.e., 54% greater than previously reported (22 s(-1)). Our new findings support the concept that the sugar-free model of SGLT1 is more complex than generally accepted, most likely involving a minimum of four transition states.
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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 | 0.001 | 0.001 |
| 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".