Collagen Fibrillogenesis and mRNA Levels in the Maturing Rabbit Medial Collateral Ligament and Patellar Tendon
Bibliographic record
Abstract
This study compared collagen fibril diameter and mRNA changes in a subset of molecules involved in collagen fibrillogenesis during postnatal development and at maturity of rabbit medial collateral ligament (MCL) and patellar tendon (PT). Tissue was analyzed by RT-PCR for mRNA levels and collagen fibril diameters were measured using transmission electron microscopy. Collagen fibril diameters increased from 3 to 14 weeks with mean fibril diameters of PT significantly greater than MCL at 9, 12, and 14 weeks and maturity. RT-PCR analysis showed decorin and lumican mRNA levels were significantly higher in PT than MCL at all ages. Type I collagen, MMP-11, and procollagen C proteinase enhancer mRNA levels also were higher in the PT than the MCL between 3 and 14 weeks but not at maturity. Further understanding of collagen fibrillogenesis by studying protein synthesis and matrix turnover during maturation may provide insight into the mechanism(s) by which fibrils accrete in maturing connective tissues and how they are altered during healing following injury.
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) | 0.001 | 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".