Biochemical re-programming of human dermal stem cells to neurons by increasing mitochondrial membrane potential.
He LiuZhaoyue HeSimon Leonhard AprilMarcel Philipp TrefnyJean-Sébastien RougierSouzan SalemiRadu OlariuHans Rudolf WidmerHans-Uwe SimonPublished in: Cell death and differentiation (2018)
Stem cells are generally believed to contain a small number of mitochondria, thus accounting for their glycolytic phenotype. We demonstrate here, however, that despite an indispensable glucose dependency, human dermal stem cells (hDSCs) contain very numerous mitochondria. Interestingly, these stem cells segregate into two distinct subpopulations. One exhibits high, the other low-mitochondrial membrane potentials (Δψm). We have made the same observations with mouse neural stem cells (mNSCs) which serve here as a complementary model to hDSCs. Strikingly, pharmacologic inhibition of phosphoinositide 3-kinase (PI3K) increased the overall Δψm, decreased the dependency on glycolysis and led to formation of TUJ1 positive, electrophysiologically functional neuron-like cells in both mNSCs and hDSCs, even in the absence of any neuronal growth factors. Furthermore, of the two, it was the Δψm-high subpopulation which produced more mitochondrial reactive oxygen species (ROS) and showed an enhanced neuronal differentiation capacity as compared to the Δψm-low subpopulation. These data suggest that the Δψm-low stem cells may function as the dormant stem cell population to sustain future neuronal differentiation by avoiding excessive ROS production. Thus, chemical modulation of PI3K activity, switching the metabotype of hDSCs to neurons, may have potential as an autologous transplantation strategy for neurodegenerative diseases.
Keyphrases
- stem cells
- reactive oxygen species
- cell therapy
- endothelial cells
- cell death
- oxidative stress
- spinal cord
- neural stem cells
- dna damage
- induced pluripotent stem cells
- machine learning
- bone marrow
- electronic health record
- metabolic syndrome
- body mass index
- weight gain
- spinal cord injury
- physical activity
- deep learning
- blood glucose
- protein kinase
- brain injury
- wound healing