title: HiSeq X Ten paired end sequencing; Identification of A Blood-based 9-hub-gene Signature for Metabolic Syndrome by Machine Learning Algorithms and Integrated Bioinformatics Analysis
design: Identification of A Blood-based 9-hub-gene Signature for Metabolic Syndrome by Machine Learning Algorithms and Integrated Bioinformatics Analysis
library_construction_protocol: Peripheral blood samples of 5 metabolic syndrome patients and 5 healthy volunteers was collected and then separate the plasma. TRIzol LS Reagent (Invitrogen) was used to extract total RNA from plasma samples. Nucleic acid library was constructed by KAPA Stranded RNA-Seq Library Prep Kit(Illumina)