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 MoreThe study aimed to investigate molecular signatures in peripheral blood of individuals affected by metabolic syndrome (MetS) and different degrees of obesity. Metabolic health of 1204 individuals was assessed, and 32 subjects were recruited to four study groups: MetS lean, MetS obese, healthy obese and healthy lean. Whole-blood transcriptome next generation sequencing with functional data analysis was carried out. SOURCE: Magdalena Paczkowska-Abdulsalam (magdalena.paczkowska@umb.edu.pl) - Medical University of Bialystok
View on GEOView in PlutoEnhance 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 MoreUse 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 analysisView quality control data and experiment metadata for this experiment.
Request imports from GEO or TCGA directly within Pluto Bio.
Chat with our Scientific Insights team