Cellular Localization of Gap Junction mRNAs in Developing Rat Brain (Part 1 of 2)
Bibliographic record
Abstract
We investigated the developmental expression and cellular resolution of connexin32 and 43 mRNA in the rat brain using in situ hybridization. Utilizing 35S-labelled probes, in situ hybridization was performed on sections of embryonic day 20 and postnatal days 3, 10, 15, 30 and adult brain. Connexin32 mRNA was first detected in brainstem nuclei at postnatal day 3 and in the midbrain at postnatal day 15. The level of this message continued to increase to postnatal day 30 where the level of message reached a plateau or slightly decreased by adulthood. The distribution of signal included the medial vestibular nucleus, dorsal paragigantocellular nucleus and fibre tracts of the midbrain and brainstem such as the cerebellar white matter, spinal trigeminal tract, and decussation of the superior cerebellar peduncle, areas containing predominantly neurons or oligodendrocytes. Connexin43 mRNA was first detected much earlier than connexin32 and was found in the leptomeniges of the E20 brain. It was found at all ages examined and distributed homogenously in the regions of the brain examined, suggesting its presence in astrocytes. The connexin43 riboprobe also hybridized strongly to the ependymal cells of the fourth ventricle and cerebral aqueduct. These results describe the cellular resolution of connexin mRNAs during development and that a differential pattern of expression exists in the various cell populations in the central nervous system.
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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 | 0.001 | 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".