Insulin Promotes the Association of Heat Shock Protein 90 with the Inositol 1,4,5-Trisphosphate Receptor to Dampen Its Ca2+ Release Activity
Bibliographic record
Abstract
The inositol 1,4,5-trisphosphate receptor (IP(3)R) is a Ca(2+) release channel that plays a pivotal role in regulating intracellular Ca(2+) levels in resting cells. Three isoforms of IP(3)Rs have been identified, and they all possess a large regulatory domain that covers about 60% of the protein. This regulation is accomplished by interaction with small molecules, posttranslational modifications, and mostly protein-protein interactions. In our search for new binding partners of the IP(3)R, we found that 90-kDa heat-shock protein (Hsp90) binds to the IP(3)R. This interaction increased on stimulation of HEK293T6.11 cells with insulin but not with G(q) protein-coupled receptor (G(q)PCR) agonists. Moreover, the Hsp90 inhibitor geldanamycin (GA) disrupted the interaction between Hsp90 and the IP(3)R. Pretreatment of HEK293T6.11 cells with GA greatly increased the intracellular Ca(2+) release induced by a G(q)PCR agonist. Insulin alone did not induce any intracellular Ca(2+) release. However, insulin diminished the intracellular Ca(2+) release induced by a G(q)PCR agonist. Interestingly, GA abolished the inhibitory effect of insulin on G(q)PCR-induced intracellular Ca(2+) release. Furthermore, in our search for a mechanistic explanation to this phenomenon, we found that inhibition of kinases activated downstream of the insulin receptor greatly increased the interaction between Hsp90 and the IP(3)R. Of greater interest, we found that the simultaneous inhibition of mammalian target of rapamycin and the Src kinase almost completely disrupted the interaction between Hsp90 and the IP(3)R. These results demonstrate that insulin promotes the interaction of Hsp90 with the IP(3)R to dampen its Ca(2+) release activity by a complex mechanism involving mammalian target of rapamycin and the Src kinase.
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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 | 0.001 |
| 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) | 0.001 | 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".