Proapoptotic effects of NARC 1 (= PCSK9), the gene encoding a novel serine proteinase
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: NARC 1/PCSK9 encodes a novel serine proteinase known to play a role in cholesterol homeostasis. NARC 1 mRNA expression in cerebellar granule neurons (CGNs) was discovered to be induced following an apoptotic injury. Coregulation of known apoptotic mediators (caspase-3 and death receptor 6) raises the possibility that NARC 1 might be involved in the propagation of apoptotic signaling in neurons. METHODS: CGNs were transfected with EGFP-fusion constructs of wild-type and mutant NARC 1, and a laser scanning cytometry-based method of scoring cell death in transfectants was applied. Use of the poly-caspase inhibitor BAF allowed assessment of the caspase-dependence of the NARC 1 proapoptotic effect. RESULTS: Wild-type NARC 1 was found to have substantial proapoptotic effects that were only partially reversible by BAF. Mutation of the active site serine or deletion of the catalytic domain resulted in a reduced level of cell death, consistent with loss of the BAF-sensitive component of cell death. NH(2)-terminal deletion constructs of NARC 1 had effects similar to wild-type, both in the absence and presence of BAF, whereas expression of COOH-terminal deletion mutants produced a rate of cell death similar to wild-type in the absence of BAF treatment, but which lacked the capacity to be reduced by treatment with BAF. CONCLUSION: The mechanism by which NARC 1-EGFP over-expression induces cell death in cultured CGNs remains unclear. Mutation analysis established a positive correlation between the presence of the Narc 1 active site serine in the transiently expressed protein and induction of the BAF-sensitive component of the cell death phenotype. A caspase-independent component proved sufficiently complex to map discretely within the Narc 1 protein.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it