PLX283617

GSE129363: Single Cell RNASeq profiling of stromal vascular fraction from Subcutaneous and visceral adipose tissue

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

The complex relationship between metabolic disease risk and body fat distribution in humans involves cellular characteristics which are specific to each body fat compartment. We applied single-cell RNA sequencing (scRNA-Seq) to identify these depot-specific differences in the stromal vascular fraction of visceral (VAT) and subcutaneous (SAT) adipose tissue of obese individuals. We characterized multiple immune cells, endothelial cells, fibroblasts, adipose and hematopoietic stem cell progenitors. Subpopulations of adipose-resident immune cells were found to be metabolically active and associated with metabolic disease status including a population of potential dysfunctional CD8+ T cells expressing metallothioneins. Adipocyte progenitors were identified at different stages of adipogenesis where a subset was pronounced in type 2 diabetics. Depot-specific analysis revealed a class of adipocyte progenitors unique to VAT possessing features similar to inducible brown preadipocytes. Our first generation human scRNA-Seq transcriptome atlas across fat depots provides a new resource to dissect functional genomics of metabolic disease. SOURCE: Elin Grundberg CHILDREN'S MERCY HOSP (KANSAS CITY, MO)

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