Three-Dimensional Cellular Organization of Gap Junction Connexins Revealed by Specific Labeling and Electron Tomography
Bibliographic record
Abstract
Abstract Gap junction channels serve important functions for the homeostasis of organ systems. These membrane channels serve as low-resistance pathways for the diffusion of small molecular species such as ions, metabolites and second messengers between two neighboring cells (1). Recent intense investigations have been pursuing the effects that defects in gap junction proteins, the connexins, have in hereditary diseases. Mutations in the primary sequence of several connexins have been shown to be responsible for several hereditary human diseases including X-linked Charcot-Marie- Tooth demyelinating neuropathies, nonsyndromic sensorineural deafness, erythrokeratodermia and congenital cataractogenesis (c.f. (2, 3) for recent reviews). Many of the published mutations are being investigated thoroughly to determine at what stage and why the protein fails to make functional channels. Steps involved in connexin trafficking and assembly are: translation of the protein; transport from the endoplasmic reticulum to the Golgi apparatus; oligomerization of the subunits into a hexamer (called a connexon); transport of the connexon to non-junctional areas of the plasma membrane; correct docking with a partner connexon from an apposing cell to form a functional intercellular channel; and incorporation into aggregates (gap junction plaques).
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".