Genetic targeting of neurogenic precursors in the adult forebrain ventricular epithelium
Bibliographic record
Abstract
The ventricular epithelium of the adult forebrain is a heterogeneous cell population that is a source of both quiescent and activated neural stem cells (qNSCs and aNSCs, respectively). We genetically targeted a subset of ventricle-contacting, glial fibrillary acidic protein (GFAP)-expressing cells, to study their involvement in qNSC/aNSC–mediated adult neurogenesis. Ventricle-contacting GFAP + cells were lineage-traced beginning in early adulthood using adult brain electroporation and produced small numbers of olfactory bulb neuroblasts until at least 21 mo of age. Notably, electroporated GFAP + neurogenic precursors were distinct from both qNSCs and aNSCs: they did not give rise to neurosphere-forming aNSCs in vivo or after extended passaging in vitro and they were not recruited during niche regeneration. GFAP + cells with these properties included a FoxJ1 + GFAP + subset, as they were also present in an inducible FoxJ1 transgenic lineage-tracing model. Transiently overexpressing Mash1 increased the neurogenic output of electroporated GFAP + cells in vivo, identifying them as a potentially recruitable population. We propose that the qNSC/aNSC lineage of the adult forebrain coexists with a distinct, minimally expanding subset of GFAP + neurogenic precursors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".