METABOLISM OF SKIN DERIVED PRECURSOR (SKP) CELLS IN STIRRED SUSPENSION BIOREACTORS
Notice bibliographique
Résumé
INTRODUCTION More than six million people suffer from burn injuries every year. These injuries can result in psychological trauma, disabilities and permanent disfigurement. A common treatment for burn victims is an autologous graft surgery in which skin is transplanted from a healthy part of the body to the injury site (i.e. split thickness skin graft). This graft, however, does not contain functional dermal tissue, hair follicles or glands, often causing graft contraction, chronic irritation, and unnatural in appearance. We have hypothesized that skin-derived precursor (SKP) cells, a multipotent dermal stem cell that resides within skin hair follicles, can be utilized in conjunction with split thickness skin grafts to improve their function and minimize irritation. SKPs have a high proliferative potential and need to be expanded in a well-controlled, standardized culture environment before they can be utilized in clinical treatments [1]. It is essential to optimize the expansion of SKP cells in order to generate a bioprocess capable of producing enough cells for a clinical setting. METHODS - q NUTR = ∆[NUTR]/Int(X v )dt The specific uptake and production rates were calculated for cells cultured in static T-Flask environments and stirred suspension bioreactors run at 40, 60, 80, and 100 rpm. Equation 1 was used to calculate specific rates (q NUTR ). The integral change in viable cells (Int(X v )dt) was calculated using a numerical trapezoid approximation, and the change in nutrient concentration (∆[NUTR]) was measured using the Nova Bioprofile 100+ analyzer. SKP cells were taken from a 68 year old female. RESULTS The specific uptake rates of glucose and glutamine and specific production rates of lactate and ammonia have been determined under altered cell culture environments for SKP cells (Figure1). This provides details into nutrient limitations and cell metabolic behaviours needed to access parameters to guide our bioprocess design and development of robust expansion protocols. DISCUSSION AND CONCLUSIONS Low levels of oxygen and nutrients result in significant changes to cell growth rates [2]. We were able to conclude that SKP cell growth is not limited by the glucose or glutamine concentrations in the media, and lactate and ammonia do not reach toxic levels. It is interesting to note that the stirred suspension environment does appear to have an effect on the specific consumption rates of glucose and glutamine. According to these initial results, we are predicting that under shear stress environments, SKP cells are changing their metabolic behaviour to allow more glucose to convert to pyruvate and enter the TCA cycle. The specific production rates of lactate and ammonia, however, do not follow the same patterns. Further validation and reasons behind these differences need to be investigated.
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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) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».