PLX071797

GSE143524: The Hepatocyte Clock and Feeding Interdependently Control Chrono-Homeostasis of Multiple Liver Cell Types (RNA-seq)

  • Organsim mouse
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Most cells in the body contain a cell autonomous molecular clock, but the requirement of peripheral clocks for circadian rhythmicity, and their effects on physiology, are not well understood. Here we show that deletion of core clock components REV-ERBa and b in adult mouse hepatocytes caused the loss of circadian rhythmicity of many liver genes, as expected, but also led to maintained and even gained rhythmicity of other genes without altering feeding behavior. The loss of REV-ERBs from hepatocytes leads to an exaggerated circadian rhythm of de novo lipogenesis and serum triglyceride levels. It is increasingly recognized that liver function is also influenced by non-hepatocytic cells, and remarkably the loss of REV-ERBs in hepatocytes remodeled the circadian transcriptomes of multiple cell types within the liver without altering their core clocks, indicating that hepatocytes communicated time signals to the non-hepatocytic cells. Finally, alteration of food availability, which is the dominant zeitgeber in the liver, demonstrated strong interdependence of the cell-autonomous hepatocyte clock mechanism and non-cell-autonomous environmental change. Together these studies reveal the interdependence of endogenous hepatocyte clocks and feeding entrainment on the regulation of circadian rhythms of multiple cell types in the liver. SOURCE: Dongyin Guan (dxg274@case.edu) - Mitch Lazar University of Pennsylvania

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team