Deletion of the adaptor protein p66ShcA prevents the apoptosis of neural stem cells in response to mitogen deprivation
Bibliographic record
Abstract
Abstract Background Alzheimer’s disease (AD) has been associated with altered hippocampal neurogenesis and the depletion of the neural stem cell (NSC) niche. NSCs rely on cues from their extracellular environment to mediate their survival and maturation. The Shc adaptor family mediates this mitogenic signaling in response to a wide range of growth factors and is necessary for embryonic neurogenesis. A member of this family, p66ShcA has been found to antagonize mitogenic signalling, however its role in neurogenesis has not been established. Moreover, the genetic ablation of p66ShcA, has a been reported to reverse cognitive decline in mouse models of AD, despite its minimal expression in mature neurons. Method To evaluate p66ShcA’s role in the fate of NSCs, we generated and characterized a p66ShcA‐null murine NSC line (p66KO‐NSC). The NSCs were characterized by assessing their differentiation competency and viability in response to alterations in epidermal growth factor (EGF) signalling. Result The p66KO‐NSCs exhibited enhanced neurogenesis in response to EGF withdrawal, relative to WT NSCs. The pharmacologic inhibition of either EGFR or ERK induced the apoptosis of the WT NSCs via the release of cytochrome C and caspase activation. Surprisingly, the inhibition of EGFR or ERK had a negligible effect on the survival of the p66KO‐NPCs and instead induced their neuronal differentiation. Conclusion p66ShcA mediates NSC apoptosis in response to the loss of mitogenic cues. The deletion of p66ShcA increases neurogenesis by facilitating the survival of NSCs during their neuronal differentiation.
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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) | 0.002 | 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".