PLX078984

GSE117270: Membrane Metallo-Endopeptidase (Neprilysin) Regulates Inflammatory Response and Insulin Signaling in White Preadipocytes (RNA-Seq)

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

Accumulation of subcutaneous white adipose tissue (WAT) is associated with increased insulin sensitivity, low levels of inflammation and a generally metabolically-healthy state, whereas accumulation of visceral adipose tissue is associated with insulin resistance, adipose tissue inflammation and metabolic syndrome. Membrane Metallo-Endopeptidase (MME/Neprislyin) is an extracellular, membrane-bound protease enriched in subcutaneous WAT that can target degradation of a variety of peptides, including insulin, IL6, and -amyloids. Here, we show that MME in white preadipocytes is differently expressed in subcutaneous vs visceral WAT, and favors insulin signaling and a low inflammatory response. Thus, knockdown of MME in preadipocytes increases the inflammatory response to substance P and amyloid aggregates. This is associated with increased basal insulin signaling and decreased insulin-stimulated signaling. Moreover, MME differentially regulates the internalization and turnover of the / subunits of the insulin receptor. Thus, MME is a novel regulator of the insulin receptor in adipose tissue and may serve as a therapeutic target to increase insulin sensitivity and decrease inflammatory susceptibility. SOURCE: Alfred Ramirez (alfred.ramirez@joslin.harvard.edu) - Joslin Diabetes Center

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