RNA sequencing of wild-type Drosophila melanogaster brains in sated, fasted, or refed nutritional states
Ontology highlight
ABSTRACT: We report the application of RNA-sequencing technology for high-throughput profiling of RNA abundance in Drosophila melanogaster brains. By obtaining RNA-sequencing reads, we generated quantitative transcriptome-wide measures in three nutritional states: sated, fasted, refed.
Project description:Regulation of nutrient status during fasting and refeeding plays an important role in maintaining metabolic homeostasis in the liver. Thus, we investigated the impact of the physiological fed–fasted–refed cycle on hepatic gene expression in nutrient-sensitive mice. We performed transcriptomic analysis of liver samples in fed, fasted and refed groups of mice. Through mRNA-sequencing (RNA-Seq) and miRNA-Seq, we compared fasted and fed states (fasted versus fed cohort) as well as refed and fasted states (refed versus fasted cohort) to detect dynamic alterations of hepatic mRNA– miRNA expression during the fed–fasted–refed cycle
Project description:Regulation of nutrient status during fasting and refeeding plays an important role in maintaining metabolic homeostasis in the liver. Thus, we investigated the impact of the physiological fed–fasted–refed cycle on hepatic gene expression in nutrient-sensitive mice. We performed transcriptomic analysis of liver samples in fed, fasted and refed groups of mice. Through mRNA-sequencing (RNA-Seq) and miRNA-Seq, we compared fasted and fed states (fasted versus fed cohort) as well as refed and fasted states (refed versus fasted cohort) to detect dynamic alterations of hepatic mRNA– miRNA expression during the fed–fasted–refed cycle
Project description:Spatial heterogeneity and plasticity of the mammalian liver is critical for systemic metabolic homeostasis in response to fluctuating nutritional status. Here, we generated a high-resolution transcriptomic landscape of the livers from mice that were either fed chow (fed), fasted for 18 h (fasted), or fasted for 18 h and then refed for 6 h (refed) using spatial transcriptomics (ST) and quantified changes in gene expression. This work provides a critical foundation for future mechanistic studies of liver metabolic heterogeneity and plasticity, and will help to understand the zonated pathology during liver disease progression.
Project description:Transcript data from liver receptor homolog-1 (LRH-1) WT and LRH-1 K289R livers from mice fasted for 24h followed by 6h refed. We used microarrays to detail the global program of gene expression underlying hepatic function under refed conditions.