Generation of OPCs and Oligodendrocytes from iPSCs

Piscopo, Valerio; Durcan, Thomas M.

doi:10.5281/zenodo.3745597

Cited by 1 publication

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“…32 To derive oligodendrocyte precursor cells (OPCs) and oligodendrocytes we used a three phase protocol as previously described. 33,34 In phase one, iPSCs were induced towards neural progenitors while being patterned with Retinoic Acid in order to resemble spinal cord progenitors. The Sonic Hedgehog pathway was activated for ventral patterning to recapitulate the conditions of the oligodendrocyte fate.…”

Section: Ipsc Lines Used For Hmosmentioning

confidence: 99%

CelltypeR: A flow cytometry pipeline to annotate, characterize and isolate single cells from brain organoids

Thomas

Sirois

et al. 2022

Preprint

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With the recent surge of single cell RNA sequencing datasets (scRNAseq) the extent of cellular heterogeneity has become apparent, yet it remains poorly characterized on a protein level in brain tissue and induced pluripotent stem cell (iPSC) derived brain models. With this in mind, we developed a high-throughput, standardized approach for the reproducible characterization of cell types in complex neuronal tissues. We designed a flow cytometry (FC) antibody panel coupled with a computational pipeline to quantify cellular subtypes in human iPSC derived midbrain organoids. Our pipeline, termed CelltypeR, contains scripts to transform and align multiple datasets, optimize unsupervised clustering, annotate cell types, quantify cell types, and compare cells across conditions. We identified the expected brain cell types, then sorted neurons, astrocytes, and radial glia, confirming these cell types with scRNAseq. We present an adaptable analysis framework providing a generalizable method to reproducibly identify cell types across FC datasets.

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Section: Ipsc Lines Used For Hmosmentioning

confidence: 99%