Oligodendrocyte Progenitor Enrichment in the Connexin32 Null-Mutant Mouse
Bibliographic record
Abstract
Before the establishment of chemical synapses, neural progenitors are often coupled by connexin-mediated gap junctions providing a robust mechanism for cell-cell communication in developing brain. The present study was undertaken to determine whether alterations in junctional coupling also affect neural progenitor proliferation, survival, and differentiation in adult brain. We localized the connexin32 gap junction protein to a subset of NG2+ and platelet-derived growth factor alpha receptor+ early oligodendrocyte progenitors in the dentate gyrus of adult mice. In connexin32-deficient mice, we found an increase in the total number of proliferating nestin+ and NG2+ progenitors in the subgranular zone, hilus, and polymorphonuclear layer of the dentate gyrus in vivo and in the total number of nestin+ progenitors capable of clonogenic expansion in vitro. By bromodeoxyuridine labeling, lineage analysis, and terminal deoxynucleotidyl nick end labeling, we demonstrate that turnover of these cells is constitutively enhanced in the connexin32 knock-out dentate gyrus reflecting a dynamic defect in oligodendrogenesis in this population. Analyses of surviving bromodeoxyuridine-labeled cells at 1, 3, 7, and 28 d after injection demonstrate that this transient amplifying population fails to terminally differentiate and is deleted by an apoptotic-like mechanism within 3 d of labeling. These data provide empirical evidence to support the hypothesis that connexin expression influences adult progenitor number and specifically implicate connexin32-mediated signaling in the activation, survival, and differentiation of a subset of early oligodendrocyte progenitors in postnatal brain.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".