2023
DOI: 10.3390/ijms24087297
|View full text |Cite
|
Sign up to set email alerts
|

An Efficient 2D Protocol for Differentiation of iPSCs into Mature Postmitotic Dopaminergic Neurons: Application for Modeling Parkinson’s Disease

Abstract: About 15% of patients with parkinsonism have a hereditary form of Parkinson’s disease (PD). Studies on the early stages of PD pathogenesis are challenging due to the lack of relevant models. The most promising ones are models based on dopaminergic neurons (DAns) differentiated from induced pluripotent stem cells (iPSCs) of patients with hereditary forms of PD. This work describes a highly efficient 2D protocol for obtaining DAns from iPSCs. The protocol is rather simple, comparable in efficiency with previousl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 93 publications
0
0
0
Order By: Relevance
“…BDNF stimulates the development and differentiation of new neurons ( 30 ) and acts as a neural inducer during the final stage of neural cell maturation ( 31 ). The abovementioned molecules have been shown to stimulate neural differentiation in the protocols of turning of iPSCs and adipose tissue-derived mesenchymal stem cells into mature dopaminergic neurons ( 32 , 33 ). In this research, we have proved the efficacy of the GQIcombi treatment regimen to inhibit a proliferation throughout diverse glioma Grades.…”
Section: Introductionmentioning
confidence: 99%
“…BDNF stimulates the development and differentiation of new neurons ( 30 ) and acts as a neural inducer during the final stage of neural cell maturation ( 31 ). The abovementioned molecules have been shown to stimulate neural differentiation in the protocols of turning of iPSCs and adipose tissue-derived mesenchymal stem cells into mature dopaminergic neurons ( 32 , 33 ). In this research, we have proved the efficacy of the GQIcombi treatment regimen to inhibit a proliferation throughout diverse glioma Grades.…”
Section: Introductionmentioning
confidence: 99%