Genome-wide binding and transcriptome analysis of human farnesoid X receptor in primary human hepatocytes

Le Zhan1, Hui-Xin Liu2, Yaping Fang3

  • 1Department of Pharmacology and Toxicology, School of Pharmacy, Rutgers University, Piscataway, New Jersey, United States of America; Department of Pharmacology, Toxicology, and Therapeutics, University of Kansas Medical Center, Kansas City, Kansas, United States of America.

Plos One
|September 9, 2014
PubMed
Abstract

Insights

This study mapped human Farnesoid X receptor (FXR) binding sites and gene expression changes, finding similarities in binding but differences in transcriptome profiles compared to mice, informing the use of mouse models for human FXR research.

Area of Science:

  • Hepatology and Molecular Biology
  • Nuclear Receptor Signaling

Background:

  • Farnesoid X receptor (FXR) is a nuclear receptor crucial for bile acid homeostasis and liver function.
  • FXR dysfunction is linked to various liver diseases, making it a key target for therapeutic research.
  • Current understanding of human FXR function and the utility of mouse models is limited.

Purpose of the Study:

  • To establish genome-wide FXR binding profiles in primary human hepatocytes (PHHs).
  • To characterize the human FXR-regulated transcriptome.
  • To compare human FXR binding and transcriptional responses with those in mouse models.

Main Methods:

  • Chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) in human hepatocytes treated with an FXR agonist.
  • RNA sequencing (RNA-seq) and RNA microarray analysis of treated human hepatocytes and mouse livers.
  • Comparative analysis of FXR binding and transcriptome data between humans and mice.

Main Results:

  • Genome-wide FXR binding patterns showed similarities between humans and mice, including motif analysis and pathway predictions.
  • Transcriptome profiles revealed significant differences between human hepatocytes and mouse livers following FXR activation.
  • Established comprehensive human FXR binding and transcriptome datasets.

Conclusions:

  • Human and mouse FXR binding sites are conserved, suggesting some functional overlap.
  • Transcriptional responses to FXR activation differ between humans and mice, highlighting limitations of mouse models.
  • The generated data provides a foundation for understanding human FXR functions and refining the use of animal models.

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