E-Cadherin Regulates Neural Stem Cell Self-Renewal
Bibliographic record
Abstract
E-Cadherin, a cell adhesion protein, has been shown to take part in the compartmentalization, proliferation, survival, and differentiation of cells. E-Cadherin is expressed in the adult and embryonic forebrain germinal zones in vivo, and in clonal colonies of cells derived from these regions and grown in vitro. Mice carrying E-Cadherin floxed genes crossed to mice expressing Cre under the Nestin promoter demonstrate defects in the self-renewal of neural stem cells both in vivo and in vitro. The functional role of E-Cadherin is further demonstrated using adhesion-blocking antibodies in vitro, which specifically target cadherin extracellular adhesive domains. Adult neural stem cell colonies decrease in the presence of E-Cadherin antibodies in a dosage-dependent manner, in contrast to P-Cadherin antibody. On overexpression of normal E-Cadherin and a mutated E-Cadherin, containing no intracellular binding domain, an increased number of clonal adult neural stem cell colonies are observed. These data suggest it is specifically E-Cadherin adhesion that is responsible for these self-renewal effects. These data show the importance of E-Cadherin in the neural stem cell niche and suggest E-Cadherin regulates the number of these cells.
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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 | 0.000 |
| 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".