Immunogold evidence that neuronal gap junctions in adult rat brain and spinal cord contain connexin-36 but not connexin-32 or connexin-43
Bibliographic record
Abstract
Physiological and ultrastructural evidence indicates that gap junctions link many classes of neurons in mammalian central nervous system (CNS), allowing direct electrical and metabolic communication. Among at least six gap junction-forming connexin proteins in adult rat brain, connexin- (Cx) 32, Cx36, and Cx43 have been reported to occur in neurons. However, no connexin has been documented at ultrastructurally defined neuronal gap junctions. To address this question directly, freeze-fracture replica immunogold labeling (FRIL) and immunofluorescence (IF) were used to visualize the subcellular and regional localization of Cx36 in rat brain and spinal cord. Three antibodies were generated against different sequences in Cx36. By Western blotting, these antibodies detected protein at 36 and 66 kDa, corresponding to Cx36 monomer and dimer forms, respectively. After double-labeling for Cx36 and Cx43 by FRIL, neuronal gap junctions in inferior olive, spinal cord, and retina were consistently immunogold-labeled for Cx36, but none were labeled for Cx43. Conversely, Cx43 but not Cx36 was detected in astrocyte and ependymocyte gap junctions. In >250 Cx32/Cx43 single- and double-labeled replicas from 10 CNS regions, no neuronal gap junctions were labeled for either Cx32 or Cx43. Instead, Cx32 and Cx43 were restricted to glial gap junctions. By IF, Cx36 labeling was widely distributed in neuropil, including along dendritic processes and within neuronal somata. On the basis of FRIL identification of Cx36 in neuronal gap junctions and IF imaging of Cx36 throughout rat brain and spinal cord, neuronal gap junctions containing Cx36 appear to occur in sufficient density to provide widespread electrical and metabolic coupling in adult CNS.
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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 | 0.000 |
| 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".