Expression of Lineage Transcription Factors Identifies Differences in 
Transition States of Induced Human Oligodendrocyte Differentiation

Raabe, Florian J.; Stephan, Marius; Waldeck, Jan Benedikt; Huber, Verena; Demetriou, Damianos; Kannaiyan, Nirmal; Galinski, Sabrina; Glaser, Laura V.; Wehr, Michael C.; Ziller, Michael J.; Schmitt, Andrea; Falkai, Peter; Rossner, Moritz J.

doi:10.3390/cells11020241

Datensatz

DATENSATZ AKTIONENEXPORT

Zur Ablage hinzufügen

Lokale TagsFreigabegeschichteDetailsÜbersicht

Freigegeben

Zeitschriftenartikel

Expression of Lineage Transcription Factors Identifies Differences in Transition States of Induced Human Oligodendrocyte Differentiation

MPG-Autoren

/persons/resource/persons215729

Glaser, Laura V.
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

Externe Ressourcen

Es sind keine externen Ressourcen hinterlegt

Volltexte (beschränkter Zugriff)

Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.

Volltexte (frei zugänglich)

cells_Raabe et al_2022.pdf
(Verlagsversion), 6MB

Ergänzendes Material (frei zugänglich)

Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar

Zitation

Raabe, F. J., Stephan, M., Waldeck, J. B., Huber, V., Demetriou, D., Kannaiyan, N., et al. (2011). Expression of Lineage Transcription Factors Identifies Differences in Transition States of Induced Human Oligodendrocyte Differentiation. Cells, 11(2): (2):241. doi:10.3390/cells11020241.

Zitierlink: https://hdl.handle.net/21.11116/0000-0009-E6A4-A

Zusammenfassung

Oligodendrocytes (OLs) are critical for myelination and are implicated in several brain disorders. Directed differentiation of human-induced OLs (iOLs) from pluripotent stem cells can be achieved by forced expression of different combinations of the transcription factors SOX10 (S), OLIG2 (O), and NKX6.2 (N). Here, we applied quantitative image analysis and single-cell transcriptomics to compare different transcription factor (TF) combinations for their efficacy towards robust OL lineage conversion. Compared with S alone, the combination of SON increases the number of iOLs and generates iOLs with a more complex morphology and higher expression levels of myelin-marker genes. RNA velocity analysis of individual cells reveals that S generates a population of oligodendrocyte-precursor cells (OPCs) that appear to be more immature than those generated by SON and to display distinct molecular properties. Our work highlights that TFs for generating iOPCs or iOLs should be chosen depending on the intended application or research question, and that SON might be beneficial to study more mature iOLs while S might be better suited to investigate iOPC biology.