Positive regulation of inositol 1,4,5‐trisphosphate‐induced ca<sup>2+</sup> release by mammalian target of rapamycin (mTOR) in RINm5F cells
Bibliographic record
Abstract
The inositol 1,4,5-trisphosphate receptor (IP(3)R), a ligand-gated Ca(2+) channel, is the main regulator of intracellular Ca(2+) mobilization in non-excitable cells. An emerging body of evidence suggests that specific regulatory control of the Ca(2+) signaling pathway is modulated by the activation of additional signaling pathways. In the present study, we investigated the influence of the PI3-kinase/mammalian target of rapamycin (mTOR) pathway on the activity of the IP(3)R/Ca(2+) signaling pathway in RINm5F cells. We used a co-immunoprecipitation approach to show that mTOR physically interacts with IP(3)R-3 in an mTOR activity-dependent manner. We also showed that IP(3)R is phosphorylated by mTOR in cellulo. All the conditions known to modulate mTOR activity (IGF-1, wortmannin, rapamycin, PP242, and nutrient starvation) were shown to modify carbachol-induced Ca(2+) signaling in RINm5F cells. Lastly, we used an assay that directly measures the activity of IP(3)R, to show that mTOR increases the apparent affinity of IP(3)R. Given that mTOR controls cell proliferation and cell homeostasis, and that Ca(2+) plays a key role in these two phenomena, it follows that mTOR facilitates IP(3)R-mediated Ca(2+) release when the nutritional status of cells requires it.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".