Myogenic commitment of human stem cells by myoblasts Co-culture: a static vs. a dynamic approach.
Pasqualina ScalaJ LovecchioE P LamparelliR VitoloV GiudiceE GiordanoCarmine SelleriL RehakNikolaos MalliaropoulosGiovanna Della PortaPublished in: Artificial cells, nanomedicine, and biotechnology (2022)
An in-vitro model of human bone marrow mesenchymal stem cells ( h BM-MSCs) myogenic commitment by synergic effect of a differentiation media coupled with human primary skeletal myoblasts ( h SkMs) co-culture was developed adopting both conventional static co-seeding and perfused culture systems. Static co-seeding provided a notable outcome in terms of gene expression with a significant increase of Desmin (141-fold) and Myosin heavy chain II (MYH2, 32-fold) at day 21, clearly detected also by semi-quantitative immunofluorescence. Under perfusion conditions, myogenic induction ability of h SkMs on h BM-MSCs was exerted by paracrine effect with an excellent gene overexpression and immunofluorescence detection of MYH2 protein; furthermore, due to the dynamic cell culture in separate wells, western blot data were acquired confirming a successful cell commitment at day 14. A significant increase of anti-inflammatory cytokine gene expression, including IL-10 and IL-4 (15-fold and 11-fold, respectively) at day 14, with respect to the pro-inflammatory cytokines IL-12A (7-fold at day 21) and IL-1β (1.4-fold at day 7) was also detected during dynamic culture, confirming the immunomodulatory activity of h BM-MSCs along with commitment events. The present study opens interesting perspectives on the use of dynamic culture based on perfusion as a versatile tool to study myogenic events and paracrine cross-talk compared to the simple co-seeding static culture.
Keyphrases
- gene expression
- endothelial cells
- stem cells
- skeletal muscle
- mesenchymal stem cells
- anti inflammatory
- pluripotent stem cells
- dna methylation
- induced pluripotent stem cells
- hypertrophic cardiomyopathy
- umbilical cord
- heart failure
- single cell
- cell proliferation
- magnetic resonance
- machine learning
- cell therapy
- magnetic resonance imaging
- contrast enhanced
- big data
- left ventricular
- electronic health record
- transcription factor
- quantum dots
- mass spectrometry
- small molecule
- amino acid
- protein protein