Expression of the <i>IP<sub>3</sub>R1</i> promoter‐driven <i>nls‐lacZ</i> transgene in Purkinje cell parasagittal arrays of developing mouse cerebellum
Bibliographic record
Abstract
The cerebellar Purkinje cell monolayer is organized into heterogeneous Purkinje cell compartments that have different molecular compositions. Here we describe a transgenic mouse line, 1NM13, that shows heterogeneous transgene expression in parasagittal Purkinje cell arrays. The transgene consists of a nuclear localization signal (nls) fused to the beta-galactosidase (lacZ) composite gene driven by the type 1 inositol 1,4,5-trisphosphate receptor (IP(3)R1) gene promoter. IP(3)R1-nls-lacZ transgene expression was detected at a single Purkinje cell level over the surface of a whole-mount X-gal-stained cerebellum because of nuclear accumulation of the nls-lacZ activity. Developing cerebella of 1NM13 mice showed stripe-like X-gal staining patterns of parasagittal Purkinje cell subsets. The X-gal stripe pattern was likely determined by an intrinsic property as early as E15 and showed increasing complexity with cerebellar development. The X-gal stripe pattern was reminiscent of, but not identical to, the stripe pattern of zebrin II immunoreactivity. We designated the symmetrical X-gal-positive (transgene-positive, Tg(+)) Purkinje cell stripes about the midline as vermal Tg1(+), Tg2(a, b)(+) and Tg3(a, b)(+) stripes and hemispheric Tg4(a, b)(+), Tg5(a, b)(+), Tg6(a, b, c)(+), and Tg7(a, b)(+) stripes, where a, b, and c indicate substripes. We also assigned three parafloccular substripes Tg8(a, b, c)(+). The boundaries of X-gal stripes at P5 were consistent with raphes in the Purkinje cell layer through which granule cells migrate, suggesting a possible association of the X-gal stripes with raphe formation. Our results indicate that 1NM13 is a good mouse model with a reproducible and clear marker for the compartmentalization of Purkinje cell arrays.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".