Literature DB >> 33653874

A developmental lineage-based gene co-expression network for mouse pancreatic β-cells reveals a role for Zfp800 in pancreas development.

Anna B Osipovich1,2, Karrie D Dudek1,3, Emily Greenfest-Allen4,5, Jean-Philippe Cartailler1, Elisabetta Manduchi4,5, Leah Potter Case1,2, Eunyoung Choi1,2, Austin G Chapman1, Hannah W Clayton1,3, Guoqiang Gu1,3, Christian J Stoeckert4,5, Mark A Magnuson6,2,3.   

Abstract

To gain a deeper understanding of pancreatic β-cell development, we used iterative weighted gene correlation network analysis to calculate a gene co-expression network (GCN) from 11 temporally and genetically defined murine cell populations. The GCN, which contained 91 distinct modules, was then used to gain three new biological insights. First, we found that the clustered protocadherin genes are differentially expressed during pancreas development. Pcdhγ genes are preferentially expressed in pancreatic endoderm, Pcdhβ genes in nascent islets, and Pcdhα genes in mature β-cells. Second, after extracting sub-networks of transcriptional regulators for each developmental stage, we identified 81 zinc finger protein (ZFP) genes that are preferentially expressed during endocrine specification and β-cell maturation. Third, we used the GCN to select three ZFPs for further analysis by CRISPR mutagenesis of mice. Zfp800 null mice exhibited early postnatal lethality, and at E18.5 their pancreata exhibited a reduced number of pancreatic endocrine cells, alterations in exocrine cell morphology, and marked changes in expression of genes involved in protein translation, hormone secretion and developmental pathways in the pancreas. Together, our results suggest that developmentally oriented GCNs have utility for gaining new insights into gene regulation during organogenesis.
© 2021. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  CRISPR; Gene networks; Pancreas; Protocadherin; WGCNA; Zfp800; β-cells

Mesh:

Substances:

Year:  2021        PMID: 33653874      PMCID: PMC8015253          DOI: 10.1242/dev.196964

Source DB:  PubMed          Journal:  Development        ISSN: 0950-1991            Impact factor:   6.868


  69 in total

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