PLX297782

GSE136910: RNA Seq of Subcutaneous adipose tissue from endothelial-AGO1-knockout (EC-AGO1-KO) mice and wild-type (WT) littermates

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

Purpose: to profile transcriptome changes due to EC-AGO1-deficiency; Methods: Subcutaneous adipose tissue were harvested. RNA was extracted using TRIzol and library was prepared for sequencing.; Results: We found genes involved in pathways promoting angiogenesis, browning, insulin sensitivity to be upregulated, and those promoting inflammation and fibrosis to be decreased in KO compared with WT mice.; Conclusions:Our study represents the detailed analysis of Ago1 regulate transcriptomes in SAT between WT and KO mice. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions. SOURCE: Zhen Chen (zhenchen@coh.org) - Dr. Zhen Chen Lab City of hope

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