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accession-icon GSE54374
An integrated cell purification and genomics strategy reveals multiple regulators of pancreas development.
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon

Description

The regulatory logic underlying global transcriptional programs controlling development of visceral organs like the pancreas remains undiscovered. Here, we profiled gene expression in 12 purified populations of fetal and adult pancreatic epithelial cells representing crucial progenitor cell subsets, and their endocrine or exocrine progeny. Using probabilistic models to decode the general programs organizing gene expression, we identified co-expressed gene modules in cell subsets that revealed patterns and processes governing progenitor cell development, lineage specification, and endocrine cell maturation. Module network analysis linked established regulators like Neurog3 to unrecognized roles in endocrine secretion and protein transport, and nominated multiple candidate regulators of pancreas development. Phenotyping mutant mice revealed that candidate regulatory genes encoding transcription factors, including Bcl11a, Etv1, Prdm16 and Runx1t1, are essential for pancreas development or glucose control. Our integrated approach provides a unique framework for identifying regulatory networks underlying pancreas development and diseases like diabetes mellitus.

Publication Title

An integrated cell purification and genomics strategy reveals multiple regulators of pancreas development.

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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