Phospholipid synthesis, diacylglycerol compartmentation, and apoptosis
Bibliographic record
Abstract
Apoptosis is a means by which organisms dispose of unwanted cells without inducing an inflammatory response. Alterations in apoptosis is a common process by which cells become cancerous. Paradoxically, many cancer chemotherapeutics preferentially kill cancer cells by inducing apoptosis. Diacylglycerol is a lipid second messenger that regulates cell growth and apoptosis and is produced during signal transduction by hydrolysis of membrane phospholipids. Protein kinase Cs are a family of diacyglycerol responsive enzymes that are recruited to cellular membranes as a consequence of diacylglycerol production where they phosphorylate specific target proteins responsible for regulating cell growth. In this review, we will first summarize our current understanding of the role of specific proteins kinase C isoforms in the induction of cell growth/apoptosis. Subsequently, we will discuss how insights gained in lipid-mediated regulation of protein kinase Cs promotes our understanding of the role specific family members play in regulating cell growth. Finally, other diacylglycerol binding proteins involved in regulating apoptosis will be discussed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".