RNA-Seq profiling unveils a non-canonical Wnt signalling signature in pancreas versus liver fate decision
Transcriptomics Dataset
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General Information
AccessionGSE40823
TitleRNA-Seq profiling unveils a non-canonical Wnt signalling signature in pancreas versus liver fate decision
DescriptionUnderstanding how distinct cell types arise from common multipotent progenitor cells is a major quest in stem cell biology. This knowledge will aid in the targeted differentiation and growth of stem cells, but also in the discovery of the basis of cellular plasticity and of how tissue programming can be controlled. The liver and pancreas share many aspects of their early development, being both specified in the same region of the endoderm, and, possibly, originating from a common progenitor. However, how pancreas versus liver cell fate decision occurs during embryogenesis and the molecular basis of this cellular plasticity are poorly understood. Here, we use RNA-Seq to define the molecular identity of liver and pancreas progenitors directly in mouse embryos and to investigate the mechanisms regulating the emergence of liver or pancreas as alternative fates from the endoderm. Progenitor cell-specific RNA was obtained from mouse Prox1-EGFP-labeled embryonic cells isolated by FACS at distinct developmental stages, before and after the onset of organogenesis. By integrating the temporal and spatial gene expression profiles, we found mutually exclusive signaling signatures in hepatic and pancreatic progenitors. Importantly, we identified the non-canonical Wnt pathway as a potential developmental regulator of the pancreas versus liver fate decision, being expressed in the foregut endoderm, before the cell fate choice is made, and then maintained in pancreas progenitors but absent in hepatic progenitors. Moreover, when assayed in Xenopus embryos, the non-canonical Wnt pathway is able to promote pancreatic fate and repress hepatic fate in the endoderm, suggesting an ancient mechanism for controlling pancreas versus liver fate choice. We expect that this knowledge will be key to formulate reprogramming strategies to convert adult hepatic cells into pancreatic cells as a cell-based therapeutic approach for diabetes.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE40823
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset

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Interactive heatmap visualization of RNA-seq dataset GSE40823
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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