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Record W2028516277 · doi:10.1002/jcb.23006

Positive regulation of inositol 1,4,5‐trisphosphate‐induced ca<sup>2+</sup> release by mammalian target of rapamycin (mTOR) in RINm5F cells

2010· article· en· W2028516277 on OpenAlexafffund
Marc‐Olivier Frégeau, Yannik Régimbald‐Dumas, Gaétan Guillemette

Bibliographic record

VenueJournal of Cellular Biochemistry · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsUniversité de Sherbrooke
FundersCanadian Institutes of Health Research
KeywordsPI3K/AKT/mTOR pathwayWortmanninCell biologyInositolPhosphorylationSignal transductionChemistryKinaseReceptorBiologyBiochemistry

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.216
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations30
Published2010
Admission routes2
Has abstractyes

Explore more

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