Protein Kinase C Isoforms Are Translocated to Microtubules in Neurons
Bibliographic record
Abstract
Activation of protein kinase C (PKC) increases microtubule (MT) growth lifetimes, resulting in extension of a nocodazole-sensitive population of MTs in Aplysia growth cones. We examined whether the two phorbol ester-activated PKCs in Aplysia, the Ca(2+)-activated PKC Apl I and the Ca(2+)-independent PKC Apl II, are associated with these MTs. Phorbol esters translocated PKC to the Triton X-100-insoluble fraction, and a significant portion of this translocated pool was sensitive to low concentrations of nocodazole. Low doses of nocodazole had no effect on the amount of PKC in the Triton X-100-insoluble fraction in the absence of phorbol esters, whereas higher doses of nocodazole reduced basal levels of PKC Apl II. The F-actin cytoskeletal disrupter, latrunculin A, removed both PKCs from the Triton X-100-insoluble fraction in both control and phorbol ester-treated nervous systems. PKC Apl II also directly interacted with purified MTs. In detergent-extracted cells, both PKCs immunolocalized predominantly with MTs. PKCs were associated with newly formed MTs invading the actin-rich peripheral growth cone domain after PKC activation. Our results are consistent with a central role for PKCs in regulating MT extension.
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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".