Bibliographic record
Abstract
Connexins are assembled into dodecamer intercellular channels, a collection of which is termed a gap junction, and their canonical function allowing direct exchange of ions and metabolites has been unequivocally established. When initially assembled into undocked cell surface connexin hemichannels, healthy cells may also engage in cell signaling via a regulated small-molecule release. Recent advances in the field have led to an expanded view of the functional roles of intercellular channels and hemichannels in both physiology and pathology. As more of the 21-member human connexin family is intensely interrogated, mounting evidence points to the biological uniqueness of each member, and no longer can we confidently refer to all connexins engaging in the same cellular processes. Innovations in high-resolution cryo-electron microscopy have revealed important insights into the structure of functionally important domains of both hemichannels and channels. These and other studies have established a foundation of knowledge that should allow inhibitory smart drug design for situations where enhanced intercellular or hemichannel activity is at the root of a connexin-linked disease. Assessment of the connexin interactome, which varies widely for each connexin subtype, continues to provide regulatory insights into the assembly and function of connexins that exhibit a short half-life. As the most intensely studied, Cx43 is found in about 50% of all human cell types and is extensively regulated by multiple inhibitory and enhancing phosphorylation events that have direct implications on tissue function and outcomes of disease, including cancer. Here, we briefly discuss these advances and give our thoughts on where the field is headed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".