Rictor regulates phosphorylation of the novel protein kinase C Apl II in Aplysia sensory neurons
Bibliographic record
Abstract
Rapamycin-insensitive companion of TOR (Rictor) is a conserved component of target of rapamycin complex 2 (TORC2), a complex implicated in phosphorylation of a number of signal transduction-related kinases, including protein kinase Cs (PKCs) at their 'hydrophobic' site in the carboxy-terminal extension domain. In the marine mollusk, Aplysia californica, an increase in phosphorylation of the novel PKC, Apl II, at the hydrophobic site is associated with a protein synthesis-dependent increase in synaptic strength seen after continuous application of serotonin. To determine if Rictor plays a role in this increase, we cloned the Aplysia ortholog of Rictor (ApRictor). An siRNA-mediated decrease in ApRictor levels in Aplysia sensory neurons led to a decrease in the phosphorylation of PKC Apl II at the hydrophobic site suggesting a role for ApRictor in hydrophobic site phosphorylation. However, over-expression of ApRictor was not sufficient to increase phosphorylation of PKC Apl II. Continuous application of serotonin increased phosphorylation of PKC Apl II at the hydrophobic site in cultured sensory neurons, and this was blocked by Torin, which inhibits both TORC1 and TORC2. Over-expression of ApRictor did not lead to change in the magnitude of serotonin-mediated phosphorylation, but did lead to a small increase in the membrane localization of phosphorylated PKC Apl II. In conclusion, these studies implicate Rictor in phosphorylation of a novel PKC during synaptic plasticity and suggest an additional role for Rictor in regulating the localization of PKCs.
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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) | 0.001 | 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".