PLX011268

GSE135875: Temporal profiles of hepatic gene expression in PAR bZip triple knockout mice

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

The circadian clock and rhythmic food intake are both important regulators of rhythmic gene expression in the liver. It remains, however, elusive to which extent the circadian clock network and natural feeding rhythms contribute to rhythmic gene expression. To systematically address this question, we developed an algorithm to investigate differential rhythmicity between a varying number of conditions. Mouse knockout models of different parts of the circadian clock network (Bmal1, Cry1/2, and Hlf/Dbp/Tef) exposed to controlled feeding regimens (ad libitum, night restricted feeding) were generated and analyzed for their temporal hepatic transcriptome. A genetical ablation of core loop elements altered feeding patterns that were restored by night restricted feeding. Mainly genes with a high amplitude were driven by the circadian clock but natural feeding patterns equally contributed to rhythmic gene expression with lower amplitude. We observed that Bmal1 and Cry1/2 KOs differed in rhythmic gene expression and identified differences in mean expression levels as a predictor for rhythmic gene expression. In Hlf/Dbp/Tef KO, mRNA levels of Hlf/Dbp/Tef target genes were decreased, albeit rhythmicity was overall preserved potentially due to the activity of the D-Box binding repressor NFIL3. Genes that lost rhythmicity in Hlf/Dbp/Tef KOs were identified to be no direct targets of PARbZip factors and presumably lost rhythmicity due to indirect effects. Collectively, our findings provide unprecedent insights into the diurnal transcriptome in mouse liver and defines the contribution of subloops of the circadian clock network and natural feeding cycles. The developed algorithm and a webapp to browse the outcomes of the study are publicly available to serve as a resource for the scientific community. SOURCE: Benjamin,D,WegerGachon University of Queensland

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