Nuclear factor‐kappaB regulates multiple steps of gliogenesis in the developing murine cerebral cortex
Bibliographic record
Abstract
Nuclear factor-kappaB (NF-κB) is activated in neural progenitor cells in the developing murine cerebral cortex during the neurogenic phase, when it acts to prevent premature neuronal differentiation. Here we show that NF-κB activation continues in mouse neocortical neural progenitor cells during the neurogenic-to-gliogenic switch. Blockade of endogenous NF-κB activity during neocortical gliogenesis leads to the formation of supernumerary committed gliogenic progenitors and premature glial cell differentiation. Conversely, forced NF-κB activation during the neocortical neurogenic-to-gliogenic transition causes delayed gliogenic commitment and decreased astroglial gene expression. NF-κB activation continues in neocortical gliogenic progenitors following commitment and is important to inhibit the differentiation of oligodendrocyte precursor cells and to maintain persistent expression of glial fibrillary acidic protein in maturing astrocytes. These results reveal a number of previously uncharacterized roles for NF-κB during different phases of neocortical gliogenesis and identify NF-κB as an inhibitor of early oligodendrocyte development in the cerebral cortex.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".