Emerging Development of Microfluidics-Based Approaches to Improve Studies of Muscle Cell Migration
Notice bibliographique
Résumé
Cell migration is an essential process in which cells move from one location to another with different modes, including mesenchymal, amoeboid, or collective movements. Migration occurs during development and in the maintenance of multicellular organisms for purposes of wound healing, tissue regeneration, and immune and pathophysiological responses. Cells in all three types of muscle: cardiac, smooth, and skeletal, are subject to and undergo migration, both general and adapted for tissue-specific needs. Cardiac cell migration is mediated by vascular endothelial growth factor (VEGF) through expression of VEGF receptors; it is not clear how cardiac cells migrate into a region of damage after infarction. In skeletal muscle, satellite cells, with dual roles as muscle precursors and self-renewing multipotent adult stem or stromal cells, are resident on muscle fibers and normally mitotically inactive. Their activation and subsequent migration critically mediate skeletal muscle repair. Nitric oxide and hepatocyte growth factor are important signaling factors and the only two chemical factors that activate satellite cells. Both induce satellite cell motility on fibers in culture and into a region of muscle damage in vivo. By comparison, vascular smooth muscle cells migrate in response to vascular injury, during the normal process of angiogenesis, and in the pathological process of atherogenesis and vascular thickening. Microfluidic devices are advantageous in their capability to control cellular microenvironments and thus offer a valuable approach for the quantitative study of cell migration in vitro: devices can be designed to incorporate conditions that mimic what is known of normal physiology and control of microenvironmental changes can model particular situations. In this direction, there is increasing interest in developing innovative microfluidic devices to enable investigation of the migration behavior of different muscle cells. The mechanisms of muscle cell migration and their physiological roles are discussed in context of the emerging development of microfluidics-based approaches to advance studies of muscle cell migration and highlight their potential applications. The essential interactions between and among cells in the three types of muscle tissue in development, wound healing, and regeneration of tissues, are underpinned by the ability of cardiac, smooth, and skeletal muscle cells to migrate in maintaining functional capacity after pathologies such as myocardial infarction, tissue grafting, and traumatic and postsurgical injury. Microfluidics-based devices now offer significant enhancement over conventional approaches to studying cell chemotaxis and haptotaxis that are inherent in migration. Advances in experimental approaches to muscle cell movement and tissue formation will contribute to innovations in tissue engineering for patching wound repair and muscle tissue replacement.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».