Reconstitution of Skin Fibrosis Development Using a Tissue Engineering Approach
Bibliographic record
Abstract
Skin fibrosis is involved in several pathologies as hypertrophic scar or scleroderma. The determination of the mechanisms at the origin of these problems is however difficult due to the low number of in vivo models. To bypass this absence of animal models, studies typically use human pathological cells cultured in a monolayer way on plastic. However, cell behavior is different according to the fact that cells are on plastic or embedded in matrix. Using a tissue engineering method, we have developed new in vitro models to study these pathologies of the skin. Human pathological cells are used to reconstitute a three dimensional fibrotic tissue comprising the dermal and the epidermal parts of the skin. This method is called the self-assembly approach and is based on the cell capacity to reconstitute in vitro their own environment as in vivo. In this chapter, protocols generating reconstructed pathological skin using this approach are detailed. The methods include extraction and culture of human skin keratinocytes and fibroblasts from very small cutaneous biopsies. In addition, a description of the protocols for the production of fibrotic dermal sheets can be found to obtain a model of fibrotic dermis that can be associated or not with a fully differentiated epidermis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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) | 0.000 | 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 teacher head, 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".