Single-cell transcriptomic reveals molecular diversity and developmental heterogeneity of human stem cell-derived oligodendrocyte lineage cells.
Xitiz ChamlingAlyssa KallmanWeixiang FangCynthia A BerlinickeJoseph L MertzPrajwal DevkotaItzy E Morales PantojaMatthew D SmithZhicheng JiCalvin ChangAniruddha M KaushikLiben ChenKatharine A WhartenbyPeter A CalabresiHai-Quan MaoHongkai JiTza-Huei WangDonald J ZackPublished in: Nature communications (2021)
Injury and loss of oligodendrocytes can cause demyelinating diseases such as multiple sclerosis. To improve our understanding of human oligodendrocyte development, which could facilitate development of remyelination-based treatment strategies, here we describe time-course single-cell-transcriptomic analysis of developing human stem cell-derived oligodendrocyte-lineage-cells (hOLLCs). The study includes hOLLCs derived from both genome engineered embryonic stem cell (ESC) reporter cells containing an Identification-and-Purification tag driven by the endogenous PDGFRα promoter and from unmodified induced pluripotent (iPS) cells. Our analysis uncovers substantial transcriptional heterogeneity of PDGFRα-lineage hOLLCs. We discover sub-populations of human oligodendrocyte progenitor cells (hOPCs) including a potential cytokine-responsive hOPC subset, and identify candidate regulatory genes/networks that define the identity of these sub-populations. Pseudotime trajectory analysis defines developmental pathways of oligodendrocytes vs astrocytes from PDGFRα-expressing hOPCs and predicts differentially expressed genes between the two lineages. In addition, pathway enrichment analysis followed by pharmacological intervention of these pathways confirm that mTOR and cholesterol biosynthesis signaling pathways are involved in maturation of oligodendrocytes from hOPCs.
Keyphrases
- single cell
- induced apoptosis
- endothelial cells
- stem cells
- rna seq
- cell cycle arrest
- multiple sclerosis
- induced pluripotent stem cells
- randomized controlled trial
- high throughput
- transcription factor
- gene expression
- genome wide
- dna methylation
- crispr cas
- cell death
- mesenchymal stem cells
- risk assessment
- high glucose
- cancer therapy
- bioinformatics analysis
- genome wide identification
- diabetic rats
- cell therapy