Pannexin1 and Pannexin3 Exhibit Distinct Localization Patterns in Human Skin Appendages and are Regulated during Keratinocyte Differentiation and Carcinogenesis
Bibliographic record
Abstract
Having shown that Panx1 and Panx3 are expressed in the epidermis, we investigated their distribution in human skin adnexal structures and skin cancer. Both proteins were found in hair follicles, sebaceous and eccrine glands, as well as blood vessels. Panx1 was detected as punctate or diffuse intracellular labeling, while Panx3 was only observed as diffuse intracellular staining, suggesting different functions. We also identified the Panx3 immunoreactive ~70 kD species modulated during keratinocyte differentiation as Panx3. Since our data indicate that pannexins are regulated during keratinocyte differentiation, we assessed whether their levels are altered under circumstances in which keratinocyte differentiation is compromised. We found that Panx1 and Panx3 levels are highly reduced in human keratinocyte tumors, thus showing for the first time that both pannexins are dysregulated in human cancers. Altogether, these data suggest that Panx1 and Panx3 have distinct and unique functions within the skin in health and disease.
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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) | 0.001 | 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".