PLX109999

GSE129665: RNA-sequencing of adipocyte and stromal vascular cells (SVCs) of epididymal and inguinal adipose tissue from high-fat diet (HFD)-fed mice

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

We report the transcriptomes of adipocytes and SVCs derived from HFD-fed obese mouse epididymal adipose tissue (EAT) or inguinal adipose tissues (IAT). By the comparisons of transcriptome of adipocyte and SVC from EAT and IAT, we find that the gene clusters of gamma-aminobutyric acid (GABA) signaling among the three-hundred fourteen pathways annotated in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database was differentially regulated in SVCs from IAT compared to SVCs from EAT. Q-RT-PCR analyses confirmed the reliability and high degree of sensitivity of gene the RNA-sequencing results. Further, when the SVC from IAT with the SVC from EAT were compared, six pathways were included in the Pareto optimal set, excluding pathways below 1.0 and log10(0.05) for the x and y-axis, respectively. Selected pathways and their differentially expressed genes were visualized as a bipartite graph using Cytoscape software to reveal that differentially regulated GABA signaling pathways could be associated with immune cell adhesions. SOURCE: Jae Bum Kim (jaebkim@snu.ac.kr) - Lab. of Adipocyte and Metabolism Research Seoul National University

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