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Analysis of extracellular vesicles as a potential index for monitoring differentiation of neural lineage cells from induced pluripotent stem cells
- Source :
- Journal of Bioscience and Bioengineering. 132:381-389
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- To improve cell production efficacy, it is important to evaluate cell conditions during culture. Extracellular vesicles (EVs) secreted from various cells are involved in stem cell differentiation. As EVs carry information about their source cells, we hypothesized that they may serve as a noninvasive index of cell conditions. We evaluated changes in EV morphology, concentration, and microRNA (miRNA) and protein expression in culture supernatants during the differentiation of induced pluripotent stem cells (iPSCs) into neural lineage cells, for application in regenerative medicine for Parkinson's disease. We observed EVs (50-150 nm) in culture supernatants of iPSCs and differentiated cells. The EVs expressed the exosome markers CD63, CD81, and CD9. Throughout differentiation, the EV concentration in the supernatants decreased, and EV miRNA and protein expression changed substantially. Especially, miR-106b, involved in neural stem cell differentiation and normal brain development, was considerably downregulated. CD63 expression correlated with the CORIN-positive cell rate, which is an index of differentiation. Thus, EV concentration and miRNA and protein expression may reflect the differentiation status of iPSCs. These findings pave the way for the development of novel and sensitive cell culture monitoring methods.
- Subjects :
- Cellular differentiation
Induced Pluripotent Stem Cells
Cell
Cell Differentiation
Bioengineering
Extracellular vesicle
Biology
Regenerative Medicine
Applied Microbiology and Biotechnology
Exosome
Regenerative medicine
Neural stem cell
Cell biology
Extracellular Vesicles
MicroRNAs
medicine.anatomical_structure
microRNA
medicine
Humans
Induced pluripotent stem cell
Biotechnology
Subjects
Details
- ISSN :
- 13891723
- Volume :
- 132
- Database :
- OpenAIRE
- Journal :
- Journal of Bioscience and Bioengineering
- Accession number :
- edsair.doi.dedup.....d2b7708bfa461dc4a2bcae450935009f
- Full Text :
- https://doi.org/10.1016/j.jbiosc.2021.06.004