Activation of serine/threonine protein phosphatase-1 is required for ceramide-induced survival of sympathetic neurons
Bibliographic record
Abstract
In sympathetic neurons, C6-ceramide, as well as endogenous ceramides, blocks apoptosis elicited by NGF (nerve growth factor) deprivation. The mechanism(s) involved in ceramide-induced neuronal survival are poorly understood. Few direct targets for the diverse cellular effects of ceramide have been identified. Amongst those proposed is PP-1c, the catalytic subunit of serine/threonine PP-1 (protein phosphatase-1). Here, we present the first evidence of PP-1c activation by ceramide in live cells, namely NGF-deprived sympathetic neurons. We first determined PP activity in cellular lysates from sympathetic neurons treated with exogenous ceramide and demonstrated a 2-3-fold increase in PP activity. PP activation was completely blocked by the addition of the specific type-1 PP inhibitor protein I-2 as well as by tautomycin, but unaffected by 2 nM okadaic acid, strongly indicating that the ceramide-activated phosphatase activity was PP-1c. Inhibition of PP activity by phosphatidic acid (which has been reported to be a selective inhibitor of PP-1c) and tautomycin (a PP-1 and PP-2A inhibitor), but not by 10 nM okadaic acid, abolished the anti-apoptotic effect of ceramide in NGF-deprived neurons, suggesting that activation of PP-1c is required for ceramide-induced neuronal survival. Ceramide was able to prevent pRb (retinoblastoma gene product) hyperphosphorylation by a mechanism dependent on PP-1c activation, suggesting that two consequences of NGF deprivation in sympathetic neurons are inhibition of PP-1c and subsequent hyperphosphorylation of pRb protein. These findings suggest a novel mechanism for ceramide-induced survival, and implicate the involvement of PPs in apoptosis induced by NGF deprivation.
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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) | 0.001 | 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 | 0.001 |
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".