A Novel Embryonic Nestin-Expressing Radial Glia-Like Progenitor Gives Rise to Zonally Restricted Olfactory and Vomeronasal Neurons
Bibliographic record
Abstract
Persistent neurogenesis is maintained throughout development and adulthood in the mouse olfactory epithelium (OE). Despite this, the identity and origin of different embryonic OE progenitors, their spatiotemporal induction and contribution to patterning during development, has yet to be delineated. Here, we show that the embryonic OE contains a novel nestin-expressing radial glia-like progenitor (RGLP) that is not found in adult OE, which is antigenically distinct from embryonic CNS radial glia. Nestin-cre-mediated lineage tracing with three different reporters reveals that only a subpopulation of nestin-expressing RGLPs activate "CNS-specific" nestin regulatory elements, and produce spatially restricted olfactory receptor neurons (ORNs) in zone 1 of the OE, and vomeronasal receptor neurons restricted to the VR1 zone. This dorsal-medial restriction of transgene-activating cells is also seen in the embryonic OE of Nestin-GFP transgenic mice, in which green fluorescent protein (GFP) is found in a subpopulation of GFP+Mash1+ neuronal progenitors, despite the fact that endogenous Nestin expression is found in RGLPs throughout the OE. Embryonic OE progenitors produce three biologically distinct colony subtypes in vitro, a subpopulation of which include nestin-expressing RGLPs during in vitro colony formation. When generated from Nestin-cre/ZEG mice, neurogenic colonies also produce GFP+Mash1+ progenitors and ORNs. We thus identify a novel neurogenic precursor, the RGLP of the OE and vomeronasal organ (VNO), and provide the first evidence for intrinsic differences in the origin and spatiotemporal potential of distinct progenitors during development of the OE and VNO.
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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) | 0.000 | 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 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".