Induced pluripotent stem cells (iPSCs) are a renewable source for the generation of blood cells in vitro. The current gold standard for production of iPSC-derived blood cells consists of a multi-day aggregate differentiation to generate hemogenic endothelium (HE), the precursor to multipotent blood progenitors. Blood lineage competence can be dictated by the HE, but we do not yet understand how that occurs and how to best identify HE that generates a given type of blood. Further, high variability in HE produced limits the ability to use this protocol for research and clinical use. Efforts commonly rely on flow cytometry to measure surface markers for staging and identifying HE phenotypes. However, despite numerous markers reported in the literature, variability in their expression and kinetics across iPSC lines and blood differentiation protocols remains a major challenge in the field. To characterize and classify HE, we performed cellular indexing of transcriptomes and epitope sequencing (CITE-seq) on iPSC-derived HE samples. To capture common forms of variability, we captured HE populations from a time course spanning arterialization to blood induction, small and large aggregates, different blood induction protocols, and two iPSC lines. The mapping of cell surface markers to transcriptomes enabled a precise understanding of what stage a marker represents and whether this is maintained across protocols and cell lines. Pseudotime mapping with gene regulatory network analysis using IQCELL allowed time-resolved mapping of changes in transcriptional networks and their correlation with surface marker profiles. Predicted lineage competence of the HE was determined by differential gene expression and mapping populations to in vivo human blood development. Ongoing efforts are focused on sorting these populations to determine endothelial to hematopoietic transition (EHT) and lineage competence.
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