Biology subjects

Lynn, F. C.

Publications and source records attributed to Lynn, F. C..

15 recordsLinked to original sources

bioRxiv2026

Functional, transcriptomic, and proteomic profiles of human primary and stem cell-derived beta cells in a state of high insulin production and increased fragility

Insulin production is a cardinal feature of pancreatic {beta} cells. Studies in rodents show that {beta} cells can switch between low and high insulin gene activity states and that elevated insulin production makes {beta} cells more vulnerable to stresses associated with diabetes. In people, genetically elevated insulin production increases the risk of type 1 diabetes. Via effects on obesity, hyperinsulinemia contributes to the pathogenesis of type 2 diabetes. Here, we characterize {beta} cells in low and high INS gene activity states sorted from primary human islets transduced with INS-GFP adenovirus and differentiated INS-EGFP knock-in embryonic stem cells (SC{beta} cells). We profile {beta} cell function, protein synthesis, resilience to diabetes associated stress, single {beta} cell transcriptomes and their co-activity networks, and purified {beta} cell proteomes. We show that human {beta} cells transition between distinct states. High INS cells have elevated maturity marker mRNAs and proteins, increased protein translation, are larger, but also more susceptible to cell death when exposed to diabetes-relevant stresses. We also catalogue thousands of differences in proteins in high INS stem cell-derived {beta} cells compared directly with high INS primary {beta} cells. Our study improves our understanding of the delicate balance between insulin production and {beta} cell resilience and guides the engineering of better {beta} cells. Blurbtranscriptional, proteomic, and functional analyses of insulin gene expression states in human {beta} cells from donor islets and stem cells Key findingsO_LIWe identify high and low INS gene activity states in human insulin-producing cells from donor islets and embryonic stem cell differentiations. C_LIO_LIWe characterize the relationship between insulin production and fragility, demonstrating that increased insulin production comes at a cost of reduced resilience to multiple stresses. C_LIO_LIFunctional, transcriptomic, and proteomic analyses identify similarities and differences between how primary and stem cell-derived {beta} cells manage stress and insulin production. C_LIO_LIWe report a comprehensive side-by-side proteomic analysis of purified primary and stem cell- derived {beta} cells in the high INS state and identify differences in protein production and secretion machinery, providing a roadmap for making better {beta} cells. C_LI

physiology↗

bioRxiv2026

Multi-modal comparison of primary and stem cell-derived β-cells nominates targets for maturation

Stem-cell-derived {beta}-like-cells (SC{beta}-cells) provide a promising platform for diabetes modelling and cell replacement therapy, but their incomplete functional maturation remains a challenge. Here, we compared immature SC{beta}-cells to human primary {beta}-cells utilizing a multi-omic, single-cell framework integrating patch-clamp electrophysiology with scRNA sequencing (patch-seq), regulatory network inference, and functional phenotyping. Despite low insulin secretion and reduced insulin content, SC{beta}-cells displayed larger Na+ and Ca2+ currents and depolarization-induced exocytosis. Ultrastructural and metabolic profiling revealed immature insulin granules, altered mitochondrial morphology, elevated basal respiration and proton leak, and diminished spare respiratory capacity and glucose-responsive metabolism. Patch-seq linked exocytotic activity in SC{beta}-cells to oxidative phosphorylation and MYC target programs, consistent with incomplete terminal differentiation, whereas SC{beta}-cells expressing higher levels of mature identity markers showed reduced ion channel hyperactivity. Multi-omics profiling showed that electrophysiological features in SC{beta}-cells were embedded in transcriptional programs distinct from those of primary {beta}-cells and other endocrine cells. Network control theory nominated SREBP1, an endoplasmic reticulum tethered transcription factor regulating cholesterol and lipid homeostasis, as a promising candidate involved in this immature state. Inhibition of cholesterol trafficking increased SREBF1 expression and shifted metabolic and transcriptional features towards a more mature {beta}-like state. These data identify potential targets and pathways that can be leveraged to improve SC{beta}-cell maturation and validate cholesterol and lipid homeostasis through the SREBP1 axis as one such candidate.

cell biology↗

bioRxiv2025

Generation and validation of an aryl hydrocarbon receptor knockout human embryonic stem cell line

Glucose homeostasis is tightly controlled by hormones secreted from pancreatic islets. The most abundant cell type in islets is the {beta}-cell, which secretes insulin in response to nutritional stimuli. We previously reported that the adverse metabolic effects of high-dose dioxin exposure in mice are regulated by the aryl hydrocarbon receptor (AHR) specifically in {beta}-cells. Additionally, fetal exposure to low-dose dioxin reduced {beta}-cell area in female mice at birth; however, the role of AHR in {beta}-cell development has not been explored. To characterize the AHR pathway in developing human {beta}-cells, we differentiated human embryonic stem cells (hESCs) into "islet-like" cell clusters (SC-islets) in vitro and treated cells with vehicle or dioxin for 24-hours at key stages of differentiation. Dioxin exposure robustly upregulated AHR gene targets (CYP1A1, AHRR) at all stages of differentiation but only had modest effects on markers of islet development and maturity. We next generated an AHR knock-out (KO) hESC line and found that basal CYP1A1 expression was profoundly suppressed in AHR-KO cells compared to parental cells at all stages of differentiation. Key markers of developing and mature pancreatic islets were largely unaffected by AHR deletion; however, G6PC2 was consistently downregulated in SC-islets from AHR-KO cells compared to parental cells. Interestingly, AHR-KO SC-islets also showed modestly increased insulin secretion relative to the parental line, suggesting a role for AHR in islet development. This novel AHR-KO cell line will allow for deeper investigation into the impact of AHR on development of human islets and other cell lineages.

developmental biology↗

bioRxiv2025

A prioritized medium-throughput screen on human stem cell derived insulin secreting beta cells identifies FGF4, FGF5, FGF8F, FGF19 and FGF21 as protective factors

AbstractStem cell-derived {beta}-like cells (SC{beta} cells) are a potential alternative to cadaveric {beta} cells for replacement therapy in type 1 diabetes. However, SC{beta} cells face a multitude of stresses that must be overcome. Both {beta} cells and SC{beta} cells reside in complex microtissues and can therefore be modulated by hundreds of autocrine/paracrine signals within these islets or spheroids. Here, we leveraged multi-omics data from late-stage SC{beta} cells and human islets to map ligand-receptor pairs and generate a prioritized list of ligands for high-content SC{beta} cell survival screening. Our medium-throughput screen tracked cell number, cell death, and INS production over several days using automated, high-content imaging. Members of the fibroblast growth factor (FGF) family significantly prevented cytokine-induced cell death, with the top validated hits being FGF4, FGF5, FGF19, FGF21, and FGF8F. With these results, there is the potential to improve SC{beta} cell survival in vitro via readily targetable pathways and to produce a more robust product for translation to the clinic.

molecular biology↗

bioRxiv2024

Crosstalk between the aryl hydrocarbon receptor and hypoxia inducible factor 1α pathways impairs downstream dioxin response in human islet models

The incidence of type 2 diabetes (T2D) is increasing globally at a rate that cannot be explained solely by genetic predisposition, diet, or lifestyle. Epidemiology studies report positive associations between exposure to persistent organic pollutants, such as dioxins, and T2D. We previously showed that 2,3,7,8 tetrachlorodibenzo-p-dioxin (TCDD) activates the xenobiotic-sensitive aryl hydrocarbon receptor (AHR) in pancreatic islets. The AHR is known to crosstalk with the hypoxia inducible factor 1 (HIF1) in hepatocytes but whether this crosstalk occurs in islet cells remains unknown. We assessed AHR-HIF1 pathway crosstalk by treating human donor islets and stem cell-derived islets (SC-islets) with TCDD +/- hypoxia and examined the changes in downstream targets of both AHR (e.g., CYP1A1) and HIF1 (e.g., HMOX1). SC-islets showed consistent crosstalk between AHR and HIF1 pathways; co-treatment of SC-islets with TCDD + hypoxia robustly suppressed the magnitude of CYP1A1 induction compared with TCDD treatment alone. In human islets, only 2 of 6 donors showing suppressed CYP1A1 induction following TCDD + hypoxia co-treatment. In both SC-islets and human donor islets we observed an unexpected hypoxia-mediated suppression of glucose-6-phosphate catalytic subunit 2 (G6PC2) expression. Our study shows AHR-HIF1 crosstalk occurs in both SC-islets and primary human donor islets, but the response of human islets varied between donors. In both models, the HIF1 pathway dominated over the AHR pathway during TCDD + hypoxia co-treatment. Our study is the first to examine whether AHR-HIF1 crosstalk occurs in islet cells and presents novel data on the impact of hypoxia on G6PC2 gene expression.

molecular biology↗

bioRxiv2024

HumanIslets: An integrated platform for human islet data access and analysis

Comprehensive molecular and cellular phenotyping of human islets can enable deep mechanistic insights for diabetes research. We established the Human Islet Data Analysis and Sharing (HI-DAS) consortium to advance goals in accessibility, usability, and integration of data from human islets isolated from donors with and without diabetes at the Alberta Diabetes Institute (ADI) IsletCore. Here we introduce HumanIslets.com, an open resource for the research community. This platform, which presently includes data on 547 human islet donors, allows users to access linked datasets describing molecular profiles, islet function and donor phenotypes, and to perform various statistical and functional analyses at the donor, islet and single-cell levels. As an example of the analytic capacity of this resource we show a dissociation between cell culture effects on transcript and protein expression, and an approach to correct for exocrine contamination found in hand-picked islets. Finally, we provide an example workflow and visualization that highlights links between type 2 diabetes status, SERCA3b Ca2+-ATPase levels at the transcript and protein level, insulin secretion and islet cell phenotypes. HumanIslets.com provides a growing and adaptable set of resources and tools to support the metabolism and diabetes research community.

systems biology↗

bioRxiv2024

NPAS4 is an allostatic regulator of POMC neuronal activity during diet-induced obesity

RationaleObesity is characterized by a chronic positive energy balance and altered function of cell types that regulate food intake. These cell types include proopiomelanocortin (POMC) neurons in the arcuate nucleus (ARC) of the hypothalamus that detect peripheral signals and promote a reduction in food intake upon activation. Downstream of neuronal activation, activity- regulated genes such as Neuronal PAS domain protein 4 (Npas4) are induced as part of the response to environmental stimuli. Npas4 is known to have cytoprotective roles in both neurons and pancreatic beta cells. A previous Npas4 knockout study in both mouse pancreatic beta cells and ARC neurons implied a potential role of Npas4 in regulating food intake. However, the specific sites of Npas4 action in the ARC are unknown. We hypothesized that Npas4 in POMC neurons of the ARC has a role in regulating food intake during obesity. MethodsWe quantified Npas4 expression in POMC neurons of the arcuate nucleus in mice exposed to various positive energy states known to activate POMC neurons using RNAscope fluorescent in situ hybridization. Next, we generated adult male mice with a conditional Npas4 knockout specifically in their ARC POMC neurons (POMC-NPAS4 KO) and metabolically characterized them for 30 weeks on regular chow or 60% high-fat diet (HFD) at room temperature. In addition, we performed single cell RNA sequencing (scRNA-seq) on microdissected ARC tissue and neighbouring regions from fasted or 1hr refed POMC-NPAS4 KO mice and controls at 6 weeks of HFD, in order to identify Npas4-regulated and feeding- regulated transcriptional changes in POMC neurons. ResultsNpas4 was expressed in POMC neurons, and its expression was induced in response to positive energy states such as refeeding, oral glucose, and acute HFD feeding. HFD-fed POMC- NPAS4 KO males showed significantly reduced body weight starting at 10 weeks of HFD, and weighed 8-10 grams less than controls by 30 weeks. With metabolic cages and manual food intake measurements, we determined this difference was not the result of increased energy expenditure or physical activity, but was due to decreased food intake prior to the observed lack of gain in body weight. Using the ARC single-cell dataset, we found that POMC neurons of KO mice showed an enhanced refeeding-induced transcriptional response, dysregulated immediate early gene expression in response to refeeding, and reduced expression of genes encoding GABA-A receptor subunits. Furthermore, cell-to-cell communication analysis revealed that POMC neurons of KO mice specifically lost inhibitory GABAergic signaling inputs, some of which came from agouti-related protein (AgRP) neurons, and gained excitatory glutamatergic signaling inputs compared to POMC neurons of control littermates. ConclusionsTaken together, the results suggest that activity-dependent expression of Npas4 in POMC neurons tempers the activity of these cells upon overnutrition. Loss of Npas4 causes cell- autonomous loss of the capacity to sense nutrient intake. Molecularly, this is driven by reduced expression of inhibitory GABA-A receptors and an overall increase in POMC neuronal activity, leading to decreased food intake and decreased weight gain. In conclusion, for the first time we report a role for the transcription factor Npas4 in POMC neurons of the ARC, and demonstrate it plays an indispensable role in controlling feeding behavior in states of overnutrition.

physiology↗

bioRxiv2023

Calcium-dependent transcriptional profiles of human pancreatic islet cells reveal functional diversity in islet subpopulations

Aims/hypothesisPancreatic islets depend on cytosolic calcium to trigger the secretion of glucoregulatory hormones and regulate the transcription of genes important for the response to stimuli. To date, there has not been an attempt to profile calcium-regulated gene expression in all islet cell types. Our aim was to construct a large single-cell transcriptomic dataset from human islets exposed to conditions that would acutely induce or inhibit intracellular calcium signalling, while preserving biological heterogeneity. MethodsWe exposed intact human islets from three donors to the following conditions: (1) 2.8 mM glucose; (2) 25 mM glucose and 40 mM KCl to maximally stimulate calcium signalling; and (3) 25 mM glucose, 40 mM KCl and 5 mM EGTA (calcium chelator) to inhibit calcium signalling, for 1 hour. We sequenced 43,909 cells from all islet cell types, and further subsetted the cells to form an endocrine cell-specific dataset of 32,486 cells expressing INS, GCG, SST or PPY. We compared transcriptomes across conditions to determine the differentially expressed calcium-regulated genes in each endocrine cell type, and in each endocrine cell subcluster of alpha and beta cells. ResultsBased on the number of calcium-regulated genes, we found that each alpha and beta cell cluster had a different magnitude of calcium response. We also showed that a polyhormonal cluster expressing INS, GCG, and SST is defined by calcium-regulated genes specific to this cluster. Finally, we identified the gene PCDH7 from the beta cell clusters that had the highest number of calcium-regulated genes, and showed that cells expressing cell surface PCDH7 protein have enhanced glucose-stimulated insulin secretory function. ConclusionsHere we use our single-cell dataset to show that human islets have cell-type-specific calcium-regulated gene expression profiles, some of them specific to subpopulations. In our dataset, we identify PCDH7 as a novel marker of beta cells having an increased number of calcium-regulated genes and enhanced insulin secretory function. Data availabilityA searchable and user-friendly format of the data in this study, specifically designed for rapid mining of single-cell RNA sequencing data, is available at https://lynnlab.shinyapps.io/Hislet_2023/. The raw data files are available at NCBI Gene Expression Omnibus (GSE196715).

physiology↗

bioRxiv2023

Tracking insulin- and glucagon-expressing bihormonal cells during differentiation using an INSULIN and GLUCAGON double reporter human embryonic stem cell line

Human embryonic stem cell (hESC)-derived pancreatic alpha and beta cells can be used to develop cell replacement therapies to treat diabetes. However, recent published differentiation protocols yield varying amounts of alpha and beta cells amidst heterogeneous cell populations. To visualize and isolate hESC-derived alpha and beta cells, we generated a GLUCAGON-2A- mScarlet and INSULIN-2A-EGFP dual fluorescent reporter (INSEGFPGCGmScarlet) hESC line using CRISPR/Cas9. We established robust expression of EGFP and mScarlet fluorescent proteins in insulin- and glucagon-expressing cells respectively without compromising the differentiation or function of these cells. We also showed the insulin- and glucagon-expressing bihormonal population at the maturing endocrine cell stage (Stage 6) lose insulin expression over time, while maintaining an alpha-like expression profile, suggesting these bihormonal cells are preferentially fated to become alpha-like cells in vitro. Together, the INSEGFPGCGmScarlet hESC line provides an efficient strategy for tracking populations of hESC-derived beta- and alpha-like cells.

developmental biology↗

bioRxiv2023

Truncated CD19 as a selection marker for the isolation of stem cell derived β-cells

Stem cell-derived {beta}-cells (SC{beta}-cell) are a renewable and scalable alternative to cadaveric islets as a cell replacement therapy for type 1 diabetes (T1D). However, heterogeneity within SC{beta}-cell cultures remains problematic for graft safety and function. Magnetic selection of SC{beta}-cells expressing a unique cell surface marker may help deplete undesirable cell types and facilitate functional maturation. Here, we explored CD19 as a potential cell surface marker for the enrichment of insulin-expressing SC{beta}-cells. Using CRISPR/Cas9 technology, we created a knock-in add-on of CD19-mScarlet downstream of the insulin coding sequence in human embryonic stem cells (hESCs). We established reproducible SC{beta}-cell surface expression of CD19-mScarlet. Importantly, we developed and optimized a magnetic sorting protocol for CD19-mScarlet-expressing cells, forming enriched SC{beta}-cell clusters with improved glucose-stimulated c-peptide secretion. This strategy holds promise to facilitate large-scale production of functional SC{beta}-cells for disease modeling and cell replacement therapy.

bioengineering↗

bioRxiv2022

Type 2 diabetes susceptibility gene GRK5 regulates physiological pancreatic β-cell proliferation via phosphorylation of HDAC5 in mice

ObjectiveDiabetes onset is accompanied with {beta}-cell deficiency, and thus restoring functional {beta}-cell mass is a promising therapy for those with diabetes. However, the regulatory mechanisms controlling {beta}-cell mass are not fully understood. Previously, we demonstrated that the transcription factor SOX4 is required for {beta}-cell proliferation in the prediabetic state. To elucidate potential mechanisms by which SOX4 regulates {beta}-cell mass, we performed RNA sequencing (RNA-seq) using pancreatic {beta}-cell specific SOX4 knockout mice ({beta}SOX4 KO). The RNA-seq revealed decreased expression of GRK5, a known type 2 diabetes susceptibility gene whose association with diabetes has not been fully elucidated. Therefore, we aimed to clarify the function of GRK5 in pancreatic {beta} cells. MethodsWe generated a novel pancreatic {beta} cell-specific GRK5 knockout mass ({beta}GRK5 KO) and evaluated glucose tolerance and metabolic changes by body weight measurement, oral glucose tolerance test, and insulin tolerance test. The number of pancreatic {beta} cells was quantified by immunohistochemistry. Glucose loading and Ca2+ imaging was performed on isolated islets to evaluate insulin secretory capacity. To elucidate the mechanism of {beta}GRK5 on {beta} cell mass regulation, we performed RNA-seq of isolated islets and identified the signaling pathways that could be regulated by GRK5. Furthermore, in vitro experiments were conducted using human islets and mouse {beta}GRK5 KO islets to clarify the direct effects of GRK5 on these pathways. Results{beta}GRK5 KO islets showed impaired glucose tolerance and insulin secretion, but no change in body weight or insulin resistance, suggesting that the main cause of impaired glucose tolerance is impaired insulin secretion. Isolated islets showed no abnormalities in insulin secretory capacity or changes in calcium influx, but histologically showed a decrease in {beta} cell mass. Consistent with the decreased {beta} cell mass in {beta}GRK5 KO, the cell cycle inhibitor gene Cdkn1a was upregulated in {beta}GRK5 KO islets; this phenocopies the {beta}SOX4 KO. Furthermore, we found that Grk5 positively regulates facultative increases in {beta} cell mass through activity-dependent phosphorylation of HDAC5 and subsequent transcription of immediate early genes (IEGs) such as Nr4a1, Fosb, Junb, Arc, Egr1 and Srf. ConclusionsOur results suggest that GRK5 is associated with type 2 diabetes through regulation of {beta} cell mass. GRK5 could become a potential target of cell therapy to preserve functional {beta} cells during the progression towards frank diabetes.

physiology↗

bioRxiv2021

In silico discovery of small molecules for efficient stem cell differentiation into definitive endoderm

Improving methods for human embryonic stem cell differentiation represents a challenge in modern regenerative medicine research. Using drug repurposing approaches, we discover small molecules that regulate the formation of definitive endoderm. Among them are inhibitors of known processes involved in endoderm differentiation (mTOR, PI3K, and JNK pathways) and a new compound, with an unknown mechanism of action, capable of inducing endoderm formation in the absence of growth factors in the media. Optimization of the classical protocol by including this compound achieves the same differentiation efficiency with a 90% cost reduction. The gene expression profile induced by the compound suggests that it is an inhibitor of the MYC pathway. The proposed in silico procedure for candidate molecule selection has broad potential for improving stem cell differentiation protocols.

bioinformatics↗

bioRxiv2019

Ins2 gene bursting activity defines a mature beta-cell state

Transcriptional and functional cellular specialization has been described for insulin-secreting {beta}-cells of the endocrine pancreas. However, it is not clear whether {beta}-cell heterogeneity is stable or reflects dynamic cellular states. We investigated the temporal kinetics of endogenous insulin gene activity using live cell imaging, with complementary experiments employing FACS and single cell RNA sequencing, in {beta}-cells from Ins2GFP knock-in mice. In vivo staining and FACS analysis of islets from Ins2GFP mice confirmed that at a given moment, ~25% of {beta}-cells exhibited significantly higher activity at the conserved insulin gene Ins2. Live cell imaging captured Ins2 gene activity dynamics in single {beta}-cells over days. Autocorrelation analysis revealed a subset of cells with oscillating behavior, with mean oscillation periods of 17 hours. Increased glucose concentrations stimulated more cells to oscillate and resulted in higher average Ins2 gene activity per cell. Single cell RNA sequencing showed that Ins2(GFP)HIGH {beta}-cells were enriched for markers of {beta}-cell maturity. Ins2(GFP)HIGH {beta}-cells were also significantly less viable at all glucose concentrations and in the context of ER stress. Collectively, our results demonstrate that the heterogeneity of insulin production, observed in mouse and human {beta}-cells, can be accounted for by dynamic states of insulin gene activity. BlurbPreviously reported pancreatic {beta}-cell heterogeneity reflects {beta}-cell state transitions.

cell biology↗

bioRxiv2019

Mediator subunit MDT-15/MED15 and Nuclear Receptor HIZR-1/HNF4 cooperate to regulate toxic metal stress responses in Caenorhabditis elegans

Zinc is essential for cellular functions as it is a catalytic and structural component of many proteins. In contrast, cadmium is not required in biological systems and is toxic. Zinc and cadmium levels are closely monitored and regulated as their excess causes cell stress. To maintain homeostasis, organisms induce metal detoxification gene programs through stress responsive transcriptional regulatory complexes. In Caenorhabditis elegans, the MDT-15 subunit of the evolutionarily conserved Mediator transcriptional coregulator is required to induce genes upon exposure to excess zinc and cadmium. However, the regulatory partners of MDT-15 in this response, its role in cellular and physiological stress adaptation, and the putative role mammalian for MED15 in the metal stress responses remain unknown. Here, we show that MDT-15 interacts physically and functionally with the Nuclear Hormone Receptor HIZR-1 to promote molecular, cellular, and organismal adaptation to excess metals. Using gain- and loss-of-function mutants and qPCR and reporter analysis, we find that mdt-15 and hizr-1 cooperate to induce zinc and cadmium responsive genes. Moreover, the two proteins interact physically in yeast-two-hybrid assays and this interaction is enhanced by the addition of zinc or cadmium, the former a known ligand of HIZR-1. Functionally, mdt-15 and hizr-1 mutants show defective storage of excess zinc in the gut, and at the organismal level, mdt-15 mutants are hypersensitive to zinc- and cadmium-induced reductions in egg-laying. Lastly, mammalian MDT-15 orthologs bind genomic regulatory regions of metallothionein and zinc transporter genes in a metal-stimulated fashion, and human MED15 is required to induce a metallothionein gene in lung adenocarcinoma cells exposed to cadmium. Collectively, our data show that mdt-15 and hizr-1 cooperate to regulate metal detoxification and zinc storage and that this mechanism appears to be at least partially conserved in mammals.

genetics↗

bioRxiv2018

Single cell transcriptome profiling of mouse and hESC-derived pancreatic progenitors

Human embryonic stem cells (hESCs) are a potential unlimited source of insulin-producing {beta}-cells for diabetes treatment. A greater understanding of how {beta}-cells form during embryonic development will improve current hESC differentiation protocols. As {beta}-cells are formed from NEUROG3-expressing endocrine progenitors, this study focused on characterizing the single-cell transcriptomes of mouse and hESC-derived endocrine progenitors. To do this, 7,223 E15.5 and 6,852 E18.5 single cells were isolated from Neurog3-Cre; Rosa26mT/mG embryos, allowing for enrichment of endocrine progenitors (yellow; tdTomato + EGFP) and endocrine cells (green; EGFP). From a NEUROG3-2A-eGFP CyT49 hESC reporter line (N5-5), 4,497 hESC-derived endocrine progenitor cells were sequenced. Differential expression analysis reveals enrichment of markers that are consistent with progenitor, endocrine, or novel cell-state populations. This study characterizes the single-cell transcriptomes of mouse and hESC-derived endocrine progenitors and serves as a resource (https://lynnlab.shinyapps.io/embryonic_pancreas/) for improving the formation of functional {beta}-like cells from hESCs.

developmental biology↗