HNF4A and HNF1A exhibit tissue specific target gene regulation in pancreatic beta cells and hepatocytes

Natasha Hui Jin Ng(Agency for Science, Technology and Research), Soumita Ghosh(National University of Singapore), Chek Mei Bok(Agency for Science, Technology and Research), Carmen Ching(Agency for Science, Technology and Research), Blaise Su Jun Low(Agency for Science, Technology and Research), Juin Ting Chen(Agency for Science, Technology and Research), Euodia X. I. Hui Lim(Agency for Science, Technology and Research), María Clara Miserendino(Agency for Science, Technology and Research), Yaw Sing Tan(Agency for Science, Technology and Research), Shawn Hoon(Agency for Science, Technology and Research), Adrian Kee Keong Teo(Agency for Science, Technology and Research)
Nature Communications
June 22, 2024
Cited by 41Open Access
Full Text

Abstract

HNF4A and HNF1A encode transcription factors that are important for the development and function of the pancreas and liver. Mutations in both genes have been directly linked to Maturity Onset Diabetes of the Young (MODY) and type 2 diabetes (T2D) risk. To better define the pleiotropic gene regulatory roles of HNF4A and HNF1A, we generated a comprehensive genome-wide map of their binding targets in pancreatic and hepatic cells using ChIP-Seq. HNF4A was found to bind and regulate known (ACY3, HAAO, HNF1A, MAP3K11) and previously unidentified (ABCD3, CDKN2AIP, USH1C, VIL1) loci in a tissue-dependent manner. Functional follow-up highlighted a potential role for HAAO and USH1C as regulators of beta cell function. Unlike the loss-of-function HNF4A/MODY1 variant I271fs, the T2D-associated HNF4A variant (rs1800961) was found to activate AKAP1, GAD2 and HOPX gene expression, potentially due to changes in DNA-binding affinity. We also found HNF1A to bind to and regulate GPR39 expression in beta cells. Overall, our studies provide a rich resource for uncovering downstream molecular targets of HNF4A and HNF1A that may contribute to beta cell or hepatic cell (dys)function, and set up a framework for gene discovery and functional validation.


Related Papers