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http://hdl.handle.net/1942/26441
Title: | SOX10 Single Transcription Factor-Based Fast and Efficient Generation of Oligodendrocytes from Human Pluripotent Stem Cells | Authors: | Garcia-Leon, Juan Antonio Kumar, Manoj Boon, Ruben Chau, David One, Jennifer WOLFS, Esther Eggermont, Kristel Berckmans, Pieter Gunhanlar, Nilhan de Vrij, Femke Lendemeijer, Bas Pavie, Benjamin Corthout, Nikky Kushner, Steven A. Davila, Jose Carlos LAMBRICHTS, Ivo Hu, Wei-Shou Verfaillie, Catherine M. |
Issue Date: | 2018 | Source: | STEM CELL REPORTS, 10(2), p. 655-672 | Abstract: | Scarce access to primary samples and lack of efficient protocols to generate oligodendrocytes (OLs) from human pluripotent stem cells (hPSCs) are hampering our understanding of OL biology and the development of novel therapies. Here, we demonstrate that overexpression of the transcription factor SOX10 is sufficient to generate surface antigen O4-positive (O4(+)) and myelin basic protein-positive OLs from hPSCs in only 22 days, including from patients with multiple sclerosis or amyotrophic lateral sclerosis. The SOX10-induced O4(+) population resembles primary human OLs at the transcriptome level and can myelinate neurons in vivo. Using in vitro OL-neuron co-cultures, myelination of neurons by OLs can also be demonstrated, which can be adapted to a high-throughput screening format to test the response of pro-myelinating drugs. In conclusion, we provide an approach to generate OLs in a very rapid and efficient manner, which can be used for disease modeling, drug discovery efforts, and potentially for therapeutic OL transplantation. | Notes: | Garcia-Leon, JA; Verfaillie, CM (reprint author), Katholieke Univ Leuven, Dept Dev & Regenerat Stem Cell Biol & Embryol, Stem Cell Inst, Herestr 49,Onderwijs & Navorsing 4,Box 804, B-3000 Leuven, Belgium. jgarleon@hotmail.com; catherine.verfaillie@kuleuven.be | Document URI: | http://hdl.handle.net/1942/26441 | ISSN: | 2213-6711 | e-ISSN: | 2213-6711 | DOI: | 10.1016/j.stemcr.2017.12.014 | ISI #: | 000424907600026 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2019 |
Appears in Collections: | Research publications |
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garcia 1.pdf | Published version | 7.16 MB | Adobe PDF | View/Open |
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