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| Status |
Public on Aug 08, 2024 |
| Title |
Integrative analysis of long isoform sequencing and functional data identifies distinct cortical layer neuronal subtypes derived from human iPSC |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Generation of human induced pluripotent stem cells (iPSCs) through reprogramming was a transformational change in the field of regenerative medicine that led to new possibilities for drug discovery and cell replacement therapy. Several protocols have been established to differentiate hiPSCs into neuronal lineages. However, low differentiation efficiency is one of the major drawbacks of these approaches. Here, we compared the efficiency of two methods of neuronal differentiation from iPSCs cultured in two different culture media, StemFlex Medium (SFM) and Essential 8 Medium (E8M). The results indicated that iPSCs cultured in E8M efficiently generated different types of neurons in a shorter time and without the growth of undifferentiated nonneuronal cells in the culture as compared with those generated from iPSCs in SFM. Furthermore, these neurons were validated as functional units immunocytochemically by confirming the expression of mature neuronal markers (i.e., NeuN, b tubulin, and Synapsin I) and whole cell patch-clamp recordings. Long-read single-cell RNA sequencing confirms the presence of upper and deep layer cortical layer excitatory and inhibitory neuronal subtypes in addition to small populations of GABAergic neurons in day 30 neuronal cultures. Pathway analysis in
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| Overall design |
Time-efficient and robust approach of neuronal differentiation leading to the generation of functional brain units, cortical layer neurons. iPSCs cultured in Essential 8 media (E8M) analyzed using scRNA-seq
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| Contributor(s) |
Binte Z, Nesrin M, Ahmad F, Mohammed U |
| Citation missing |
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| Submission date |
Aug 07, 2024 |
| Last update date |
Nov 26, 2024 |
| Contact name |
Muhammad Kumail |
| E-mail(s) |
[email protected]
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| Organization name |
Mohammad Bin Rashid University
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| Department |
CATG
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| Lab |
CATG
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| Street address |
Al Razi road
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| City |
Dubai |
| State/province |
Dubai |
| ZIP/Postal code |
DXB |
| Country |
United Arab Emirates |
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| Platforms (1) |
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| Samples (4)
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| Relations |
| BioProject |
PRJNA1145456 |
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