Notch4 Inhibits Endothelial Apoptosis via RBP-Jκ-dependent and -independent Pathways
Bibliographic record
Abstract
Notch4, a member of the Notch family of transmembrane receptors, is expressed primarily on endothelial cells. Activation of Notch in various cell systems has been shown to regulate cell fate decisions, partly by regulating the propensity of cells to live or die. Various studies have demonstrated a role for Notch1 in modulating apoptosis, either in a positive or negative manner. In this study, we determined that constitutively active Notch4 (Notch4 intracellular domain) inhibited endothelial apoptosis triggered by lipopolysaccharide. Notch signals are transmitted by derepression and coactivation of the transcriptional repressor, RBP-Jkappa, as well as by less well defined mechanisms that are independent of RBP-Jkappa. A Notch mutant lacking the N-terminal RAM domain showed only partial antiapoptotic activity relative to Notch4 intracellular domain but stimulated equivalent RBP-Jkappa-dependent transcriptional activity. Similarly, constitutively active RBP-Jkappa activated a full transcriptional response but only demonstrated partial antiapoptotic activity. Additional studies suggest that Notch4 provides endothelial protection in two ways: inhibition of the JNK-dependent proapoptotic pathway in an RBP-Jkappa-dependent manner and induction of an antiapoptotic pathway through an RBP-Jkappa-independent up-regulation of Bcl-2. Our findings demonstrate that Notch4 activation inhibits apoptosis through multiple pathways and provides one mechanism to explain the remarkable capacity of endothelial cells to withstand apoptosis.
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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".