Collagen Deposition, Cellular and Molecular characterisation of self-assembled tendon constructs grown in vitro from embryonic chick tenocyte cells
Notice bibliographique
Résumé
Tendons are fibrous connective tissues that connect and transmit forces between muscle and bone. Following injury, they are very difficult to repair surgically, often resulting in tissue that is not comparable to native tendons in structural integrity and mechanical strength and are therefore prone to re-injury. A tissue engineered approach that would provide tendon tissue regeneration would be enormously valuable. A step toward this goal would be establishment of an in vitro system that could replicate tendon development and maturation from progenitor cells, generating tissue for transplantation capable of integrating and repairing damaged tendons. Limited progress in this area has been made to date and no system can as yet support tendon tissue maturation. In this study, I have focused on the characterisation and optimisation of a protocol using tissue engineered constructs designed to mimic tendon development, monitoring cell self-assembly and collagen deposition. Primary embryonic chick tendon cells (tenocytes) isolated at embryonic day 14 (E14), from the metatarsal tendons plated within a fibrin gel, that provides a natural substrate for the cells to self-assemble into tendon-like constructs. The cell-gel mixture was plated in between two sets of pins and suture and left in culture for up to 28- days. I show that regions of high collagen deposition are present in distinct regions within tendon constructs, centrally and peripherally. Further analysis of these regions of high collagen deposition was a focus with the goal of understanding and replicating these conditions throughout constructs. Alignment of pins in the experimental set up was important for consistent central deposition of collagen with fibres that were aligned along the long axis of the construct. While improvement of the culture system is required to produce more homogeneous tendon-like tissue, it provides an opportunity to examine the patterns of collagen deposition and uncover the conditions that best support collagen. The establishment and characterisation of these mini-tendon constructs provides an in vitro system to further our understanding of the self-assembly process, to work toward improving tendon-like tissue generation, as well as providing a tool for in vitro testing of molecular pathways and processes required.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,004 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».