DiabetesDevelopmental BiologyPeer-reviewed journal article
DNA methylation Dependent Restriction of Tyrosine Hydroxylase Contributes to Pancreatic β-cell Heterogeneity
Nazia ParveeniD, Jean Kimi Wang, S. BhattacharyaiD, Janielle CualaiD, Mohan Singh RajkumariD, Alexandra E. ButleriD, Xiwei WuiD, Hung-Ping ShihiD, Senta K. GeorgiaiD, Sangeeta DhawaniD
Abstract
The molecular and functional heterogeneity of pancreatic {beta}-cells is well recognized. Pancreatic islets harbor a small subset of {beta}-cells that co-express Tyrosine Hydroxylase (TH), an enzyme involved in synthesis of catecholamines that repress insulin secretion. Restriction of this sub-population within islets is essential for appropriate insulin secretion. However, the distinguishing characteristics of this subpopulation and the mechanisms that restrict TH expression in {beta}-cells are not known. Here, we define the specific molecular and metabolic characteristics of the TH+ {beta}-cells and show that TH expression in {beta}-cells is restricted by DNA methylation patterning during {beta}-cell lineage specification. Ablation of de novo DNA methyltransferase Dnmt3a in the pancreatic- and endocrine-progenitor lineages results in a dramatic increase in the proportion of TH+ {beta}-cells, while {beta}-cell specific ablation of Dnmt3a has no effect on this sub-population. We demonstrate that maintenance of Th promoter DNA methylation patterns is essential for its continued restriction in postnatal {beta}-cells, and that loss of DNA methylation dysregulates TH expression in {beta}-cells in response to chronic overnutrition, contributing to impairment of {beta}-cell identity. These data highlight the essential requirement of DNA methylation patterning in regulating endocrine cell fates, and reveal a novel role of DNA methylation in {beta}-cell heterogeneity.
- organism: mouse
- assay: DNA methylation
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: variant effect prediction
- approach: statistical model
- approach: experimental assay
- Citations
- 23
- FWCI
- 5.87
- Field percentile
- top 3%
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