Cell adhesion molecule L1 promotes neurite outgrowth of septal neurons
Bibliographic record
Abstract
To establish if the cell adhesion molecule L1 could promote neurite outgrowth of septal neurons, L1-positive substrates were prepared by genetically modifying 3T3 fibroblasts with a retroviral vector encoding human L1 under the control of a negative tetracycline-regulatory system. In several clones of L1-transfected fibroblasts, L1 expression at the cell surface was prominent and efficiently regulated by doxycycline, a tetracycline analogue. In co-culture of septal neurons and fibroblasts, a two-dimensional fractionator probe provided systematic random sampling of the neurites to be measured. Septal neurons, isolated at embryonic Day 17, were found to express L1 in vitro and to extend significantly longer neurites when plated on L1-expressing fibroblasts compared to control fibroblasts. The neurite outgrowth-promoting effect of L1 was inhibited after a doxycycline treatment, which specifically suppressed L1 expression from the modified fibroblasts. The findings that septal neurons at embryonic Day 17 in vitro express L1 and respond to L1-modulation suggest that this molecule is involved in development of the septohippocampal pathway.
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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".