Dermal fibroblasts from red Duroc and Yorkshire pigs exhibit intrinsic differences in the contraction of collagen gels
Bibliographic record
Abstract
Previous studies have shown that the Yorkshire (Y) pig is a model for normal skin wound healing, while red Duroc (RD) pigs form hypercontracted scars similar to human hypertrophic scars. In order to determine potential intrinsic differences in fibroblast phenotypes, the ability of normal dorsal and ventral dermal fibroblasts from Y and RD pigs to contract collagen gels was assessed. Cells plated in gels were cultured in media supplemented with 2% or 10% FBS +/- 1 or 10 ng/mL transforming growth factor beta1. The degree of contraction of the gels was quantified at defined time-points postrelease. Final contraction levels were dependent on cell density and serum concentration for all cell types. The rates of contraction of RD dorsal fibroblasts were significantly greater than those for Y dorsal fibroblasts. Immunocytochemical analysis revealed the presence of alpha-smooth muscle actin in contracted cells. Furthermore, mRNA levels for matrix metalloproteinase-2 and decorin showed specific increases for the RD cells during contraction. These findings have revealed intrinsically different, location-specific in vitro responses with normal dermal fibroblasts from the two breeds of pig, suggesting that the abnormal skin healing phenotype of RD pigs may be attributable in part to intrinsic genetic differences in fibroblasts between the breeds.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".