Improving stem cell-derived pancreatic islets using single-cell multiome-inferred regulomes [childhool scRNA-seq]

Pancreatic islet cells derived from human pluripotent stem cells hold great promise for modeling and treating diabetes. Differences between stem cell-derived and primary islets remain, but molecular insights to inform improvements are limited. Here, we acquire single-cell transcriptomes and accessible chromatin profiles during in vitro islet differentiation and from primary childhood and adult pancreas for comparison. We delineate major cell types, define their regulomes, and describe spatiotemporal regulatory relationships between transcription factors. CDX2 emerged as a regulator of enterochromaffin-like cells, which we show resemble a previously unrecognized, transient CDX2-expressing β-cell-related population in fetal pancreas, arguing against a non-pancreatic origin as proposed. Furthermore, we observe insufficient activation of signal-dependent transcriptional programs during in vitro β-cell maturation and identify sex hormones as drivers of childhood β-cell proliferation. Altogether, our analysis provides a comprehensive understanding of cell fate acquisition in stem cell-derived islets and a framework for manipulating cell identities and maturity. In this analysis, we used single cell RNA-seq (scRNA-seq) to analyze cells from primary childhood human islets (age: 2 years). We obtained transcriptomic signatures from exocrine and endocrine cells, but focused on α-, β-, δ- and γ-cells (250 cells in total) for downstream analysis. We used this dataset to demonstrate similarity between snRNA-seq and scRNA-seq data, and to justify the use of snRNA-seq data for our network analysis.