iScience · 2023 · 18 citations · 49 references
Life SciencesNeurobiologyNeuroscienceDrug DiscoveryMolecular NeuroscienceStem Cell BiologyDemyelinating DiseasesDemyelinating DisordersGlial Cell DifferentiationMultiple SclerosisNeural Stem Cell BiologyNeural Stem CellsHigh-throughput Screening AssaysHuman Induced Pluripotent Stem Cell ModelsMultiple Sclerosis TherapyOligodendrocyte DevelopmentOligodendrocyte Precursor Cell BiologyOligodendrocyte Precursor Cell DifferentiationOligodendrocyte Progenitor CellsRemyelination Therapy
Promoting myelination capacity of endogenous oligodendrocyte precursor cells (OPCs) is a promising therapeutic approach for CNS demyelinating disorders such as Multiple Sclerosis (MS). To aid in the discovery of myelination-promoting compounds, we generated a genome-engineered human pluripotent stem cell (hPSC) line that consists of three reporters: identification-and-purification tag, GFP, and secreted-NanoLuc, driven by the endogenous PDGFRA, PLP1, and MBP genes, respectively. Using this cell line, we established a high-throughput drug screening platform and performed a small-molecule screen, which identified at least two myelination-promoting small-molecule (Ro1138452 and SR2211) that target prostacyclin (IP) receptor and retinoic acid receptor-related orphan receptor γ (RORγ), respectively. Single-cell-transcriptomic analysis of differentiating OPCs treated with these molecules further confirmed that they promote oligodendrocyte differentiation and revealed several pathways that are potentially modulated by them. The molecules and their target pathways provide promising targets for the possible development of remyelination-based therapy for MS and other demyelinating disorders.
49
Fiji: an open-source platform for biological-image analysis
Johannes Schindelin, Ignacio Arganda‐Carreras, Erwin Frise et al. · Nature Methods · 2012 · 70.9K citations
Comprehensive Integration of Single-Cell Data
Tim Stuart, Andrew Butler, Paul Hoffman et al. · Cell · 2019 · 16.9K citations · Full text
clusterProfiler 4.0: A universal enrichment tool for interpreting omics data
Tianzhi Wu, Erqiang Hu, Shuangbin Xu et al. · The Innovation · 2021 · 12.7K citations · Full text
Fast, sensitive and accurate integration of single-cell data with Harmony
Ilya Korsunsky, Nghia Millard, Jean Fan et al. · Nature Methods · 2019 · 10.5K citations · Full text