A Functional Role for VAP‐33 in Insulin‐Stimulated GLUT4 Traffic
Bibliographic record
Abstract
Soluble N-ethylmaleimide sensitive factor attachment protein receptors (SNAREs) are critical proteins in membrane fusion, in both regulated and constitutive vesicular traffic. In addition, proteins that interact with the SNAREs are thought to regulate fusion. Vesicle-associated membrane protein-2 (VAMP-2) is a SNARE protein involved in insulin-dependent glucose transporter 4 (GLUT4) traffic. VAMP-2 is required for productive GLUT4 incorporation into the plasma membrane. VAMP-associated protein of 33 kDa (VAP-33) is an integral membrane protein that binds VAMPs in vitro, and is hypothesized to be a regulator of VAMPs. In L6 skeletal myoblasts, which display insulin-dependent traffic of GLUT4, we show that VAP-33 colocalized significantly with VAMP-2 using indirect confocal immunofluorescence and biochemical cosegregation. Overexpression of wild-type VAP-33 in L6 myoblasts attenuated the insulin-dependent incorporation of myc-tagged GLUT4 into the plasma membrane, and this response was restored by co-overexpression of VAMP-2 linked to green fluorescent protein. Antibodies to VAP-33 microinjected into 3T3-L1 adipocytes abrogated the insulin-stimulated translocation of GLUT4 to the plasma membrane, as measured in adhered plasma membrane lawns. Immunopurified VAMP-2-containing compartments from L6 myotubes and 3T3-L1 adipocytes showed significant levels of VAP-33. We propose that VAP-33 may be a regulator of VAMP-2 availability for GLUT4 traffic and other vesicle fusion events.
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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 | 0.001 |
| 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".