Supplementary data for genome-wide DNA methylation and gene expression analysis of PBMCs in patients with metabolic syndrome

Su-Jin Baek; Siwoo Lee; Hee-Jeong Jin

doi:10.1016/j.dib.2022.108183

Supplementary data for genome-wide DNA methylation and gene expression analysis of PBMCs in patients with metabolic syndrome

Data Brief. 2022 Apr 13:42:108183. doi: 10.1016/j.dib.2022.108183. eCollection 2022 Jun.

Authors

Su-Jin Baek¹, Siwoo Lee¹, Hee-Jeong Jin¹

Affiliation

¹ KM Data Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon, 34054, Republic of Korea.

Abstract

This supplementary data supports the research article 'Genome-wide DNA methylation profiling reveals candidate biomarkers and probable molecular mechanism of metabolic syndrome' (Baek et al., in press). To obtain these data, 32 participants with metabolic syndrome (MetS) were enrolled in the associated study. We collected peripheral blood mononuclear cells (PBMCs) from 11 patients with MetS and nine controls and compared genome-wide gene expression and DNA methylation signatures. The remaining 12 participants were used for the experimental validation of the candidate groups. We provide the raw, analyzed, and filtered genome-wide DNA methylation data, obtained using the Infinium Human MethylationEPIC BeadChIP array, and whole transcriptome sequencing data (accession number GSE181647). We list the differentially expressed and differentially methylated genes and their biological functions. These data can serve as a basis for screening appropriate epigenetic biomarkers for MetS.

Keywords: Biomarker; Correlation; Epigenome; Multi-omics; Transcriptome.