Expression of Cux‐1 and Cux‐2 in the developing somatosensory cortex of normal and barrel‐defective mice
Bibliographic record
Abstract
Recently, two orthologues of the Drosophila homeobox Cut gene, Cux-1 and Cux-2, have been identified as restricted molecular markers of upper layer (II-IV) neurons in the murine cerebral cortex. We show that during early postnatal life, from P0 to P10, Cux-1 and Cux-2 mRNA are coexpressed in all primary sensory cortices. Antisera to Cux-1 and Cux-2 immunoreactivities preferentially label neurons in the barrel walls of the primary somatosensory cortex (S1). Subsequently, Cux-1 remains enriched in sensory cortices, whereas Cux-2 expression enlarges to comprise the frontal and insular areas. The laminar distribution of Cux-1 and Cux-2 differs: Cux-1 follows a layer IV to layer II decreasing gradient of expression, whereas Cux-2 expression is homogeneous across layers IV-II. No colocalization was found with GABA and birth dating experiments showed that Cux-1-positive neurons in layer IV are born during a restricted period, E13.5-E14.5, suggesting that Cux-1 is a useful molecular marker of the glutamatergic neurons of layer IV. We examined Cux-1 and Cux-2 in barrel-defective mouse strains, the VMAT2 KO, the MAOA KO, and the Adcyl 1(brl) strain. A normal expression level of Cux-1 and Cux-2 was found in layer IV, despite the lack of segregation of the neurons as barrels. Conversely, in Reeler mice, Cux-1 and Cux-2 had a distinct laminar distribution: the Cux-1-positive neurons had an inverted deep localization, whereas the Cux-2-positive neurons were distributed throughout the cortical thickness, suggesting that Cux-2 expression is more widely expressed in the inverted cortex of reeler mutants. Our results indicate that Cux-1 is a useful marker of the layer IV neurons in S1, and that Cux-1 and Cux-2 are differently regulated in the upper layers of the cerebral cortex.
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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 | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".