Increased Neuronal Differentiation Efficiency in High Cell Density-Derived Induced Pluripotent Stem Cells
Human pluripotent stem cells (hPSCs), including induced pluripotent stem cells (iPSCs), provide access to hard-to-obtain cells for studies under physiological and disease conditions. For the study of neurodegenerative diseases, especially sporadic cases where the “disease condition” might be restric...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
|
| Series: | Stem Cells International |
| Online Access: | http://dx.doi.org/10.1155/2019/2018784 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Human pluripotent stem cells (hPSCs), including induced pluripotent stem cells (iPSCs), provide access to hard-to-obtain cells for studies under physiological and disease conditions. For the study of neurodegenerative diseases, especially sporadic cases where the “disease condition” might be restricted towards the neuroectodermal lineage, obtaining the affected neurons is important to help unravel the underlying molecular mechanism leading to the diseases. Although differentiation of iPSCs to neural lineage allows acquisition of cell types of interest, the technology suffers from low efficiency leading to low yield of neurons. Here, we investigated the potential of adult neuroprogenitor cells (aNPCs) for iPSC derivation and possible confounders such as cell density of infected NPCs on their subsequent neuronal differentiation potential from reprogrammed cells under isogenic conditions. Characterized hiPSCs of defined cell densities generated from aNPCs were subjected to neuronal differentiation on PA6 stromal cells. The results showed that hiPSC clones obtained from low seeding density (iPSC-aNPCLow) differentiated less efficiently compared to those from higher density (iPSC-aNPCHigh). Our findings might help to further improve the yield and quality of neurons for in vitro modelling of neurodegenerative diseases. |
|---|---|
| ISSN: | 1687-966X 1687-9678 |