Project description:The goal of this study is to molecularly characterize regulatory variation in pancreatic progenitor cells (PPC). Here, we derived PPC from iPSCs of nine iPSCORE individuals (DeBoever et al., 2017; Panopoulos et al., 2017), and generated RNA-seq, ATAC-seq, scRNA-seq, and snATAC-seq. We strive to understand the role of functional genetic variation during fetal pancreatic development that later give rise to adult pancreatic diseases.
Project description:The goal of this study is to understand the effects of genetic variation on gene expression in fetal-like pancreatic progenitor cells. We generated bulk RNA-seq from 107 iPSC-derived pancreatic progenitor cells (iPSC-PPC) from iPSC lines derived from 106 individuals from the iPSCORE resource. We then conducted genome-wide expression quantitative trait loci analyses to identify genetic variants associated with gene expression and isoform usage.
Project description:We employed an ultra-sensitive bulk RNA sequencing approach to study thymic epithelial progenitor cells (TEPs) derived from iPSc differentiation and sorted by FACS based on their CD205 expression levels.
Project description:Investigating the precise gene regulatory programs directing pancreatic differentiation provides insights into the mechanisms of pancreatic development and diabetes progression. Here, we performed integrated single-cell multi-omic analyses of the expandable pancreatic progenitor (ePP)-islet system. We defined the dynamic transcriptomic and chromatin landscapes of pancreatic differentiation, inferred the sophisticated gene regulatory networks (GRNs) that govern ePP self-renewal, endocrine specification and islet function, and identified the essential roles and interesting mechanisms of the NKX2.2-CLEC16A/endosomal pathway axis during cell-fate transitions. We have obtained interesting observations that are human specific not observed in mouse models (e.g., CLEC16A-related diabetes mechanisms), and further took advantage of the ePP-islet system to identify pharmacological rescuers. Notably, this study highlights the ePP-islet system as a very powerful platform for uncovering the molecular mechanisms of cell fate decision and rich information for further optimizing the differentiation process. With further optimization and better understanding, the ePP-islet system will undoubtedly have very broad applications, including disease modeling, drug discovery, and regenerative medicine.
Project description:Investigating the precise gene regulatory programs directing pancreatic differentiation provides insights into the mechanisms of pancreatic development and diabetes progression. Here, we performed integrated single-cell multi-omic analyses of the expandable pancreatic progenitor (ePP)-islet system. We defined the dynamic transcriptomic and chromatin landscapes of pancreatic differentiation, inferred the sophisticated gene regulatory networks (GRNs) that govern ePP self-renewal, endocrine specification and islet function, and identified the essential roles and interesting mechanisms of the NKX2.2-CLEC16A/endosomal pathway axis during cell-fate transitions. We have obtained interesting observations that are human specific not observed in mouse models (e.g., CLEC16A-related diabetes mechanisms), and further took advantage of the ePP-islet system to identify pharmacological rescuers. Notably, this study highlights the ePP-islet system as a very powerful platform for uncovering the molecular mechanisms of cell fate decision and rich information for further optimizing the differentiation process. With further optimization and better understanding, the ePP-islet system will undoubtedly have very broad applications, including disease modeling, drug discovery, and regenerative medicine.
Project description:Investigating the precise gene regulatory programs directing pancreatic differentiation provides insights into the mechanisms of pancreatic development and diabetes progression. Here, we performed integrated single-cell multi-omic analyses of the expandable pancreatic progenitor (ePP)-islet system. We defined the dynamic transcriptomic and chromatin landscapes of pancreatic differentiation, inferred the sophisticated gene regulatory networks (GRNs) that govern ePP self-renewal, endocrine specification and islet function, and identified the essential roles and interesting mechanisms of the NKX2.2-CLEC16A/endosomal pathway axis during cell-fate transitions. We have obtained interesting observations that are human specific not observed in mouse models (e.g., CLEC16A-related diabetes mechanisms), and further took advantage of the ePP-islet system to identify pharmacological rescuers. Notably, this study highlights the ePP-islet system as a very powerful platform for uncovering the molecular mechanisms of cell fate decision and rich information for further optimizing the differentiation process. With further optimization and better understanding, the ePP-islet system will undoubtedly have very broad applications, including disease modeling, drug discovery, and regenerative medicine.
Project description:Ptf1a was identified as the essential transcription factor which controls pancreatic exocrine enzyme expression. With lineage tracing eperiments Ptf1a was recognized as an important pancreatic progenitor transcription factor and Ptf1a null mice do not develop a pancreas. We used gene expression arrays to determine the global differeences in expression levels when pancreatic progenitor cells are expanding in Ptf1a heterozygote versus null mutants at E10.5. Ptf1a E10.5 dorsal pancreas total RNA from pools of 3 embryos was twice linear amplified and hybridized to Affymetrix GeneChip Mouse Genome 430 2.0 in triplicate for the Ptf1a KO and in duplicate for the Ptf1a heterozygote