GAPDH binds GLUT4 reciprocally to hexokinase-II and regulates glucose transport activity
Bibliographic record
Abstract
Dietary glucose is taken up by skeletal muscle through GLUT4 (glucose transporter 4). We recently identified by MS proteins displaying insulin-dependent co-precipitation with Myc-tagged GLUT4 from L6 myotubes, including GAPDH (glyceraldehyde-3-phosphate dehydrogenase) and HKII (hexokinase-II). In the present paper we explored whether GAPDH and HKII interact directly with cytoplasmic regions of GLUT4 and their possible inter-relationship. Endogenous and recombinant GAPDH and HKII bound to a chimeric protein linearly encoding all three cytosolic domains of GLUT4 [GST (glutathione-transferase)-GLUT4-cyto]. Both proteins bound to a lesser extent the middle cytosolic loop but not individual N- or C-terminal domains of GLUT4. Purified GAPDH and HKII competed for binding to GST-GLUT4-cyto; ATP increased GAPDH binding and decreased HKII binding to this construct. The physiological significance of the GAPDH-GLUT4 interaction was explored by siRNA (small interfering RNA)-mediated GAPDH knockdown. Reducing GAPDH expression by 70% increased HKII co-precipitation with GLUT4-Myc from L6 cell lysates. GAPDH knockdown had no effect on surface-exposed GLUT4-Myc in basal or insulin-stimulated cells, but markedly and selectively diminished insulin-stimulated 3-O-methyl glucose uptake and GLUT4-Myc photolabelling with ATB-BMPA {2-N-[4-(1-azitrifluoroethyl)benzoyl]-1,3-bis-(D-mannos-4-yloxy)-2-propylamine}, suggesting that the exofacial glucose-binding site was inaccessible. The results show that GAPDH and HKII reciprocally interact with GLUT4 and suggest that these interactions regulate GLUT4 intrinsic activity in response to insulin.
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".