Optical and Biochemical Dissection of Connexin and Disease-Linked Connexin Mutants in 3D Organotypic Epidermis
Bibliographic record
Abstract
The epidermis is a complex tissue composed principally of differentiated keratinocytes that form a keratinized stratified squamous epithelium. The gap junction proteins, connexins (Cx), are differentially expressed throughout the stratified layers of the epidermis and their exquisite regulation appears to govern the delicate balance between cell proliferation and differentiation in normal skin homeostasis and in wound healing. In the last 10 years, germ line mutations in the genes encoding five connexin family members have been linked to various types of skin diseases that appear to offset the balance between keratinocyte differentiation and proliferation. Consequently, in order to determine how these connexin gene mutations manifest as skin disease, disease-linked mutants must be expressed in 3D organotypic epidermis reference models that attempt to mimic the human condition. Given the complexity of organotypic epidermis, confocal optical and biochemical dissection of connexin or disease-linked connexin mutants within the regenerated epidermal layer is required. The procedures necessary to assess the architectural characteristics of genetically modified organotypic epidermis and its state of differentiation will be described in this chapter.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".