Baek Su-Jin, Lee Siwoo, Jin Hee-Jeong
KM Data Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon, 34054, Republic of Korea.
Data Brief. 2022 Apr 13;42:108183. doi: 10.1016/j.dib.2022.108183. eCollection 2022 Jun.
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.
这些补充数据支持了研究论文《全基因组DNA甲基化分析揭示代谢综合征的候选生物标志物和可能的分子机制》（Baek等人，即将发表）。为了获得这些数据，32名代谢综合征（MetS）参与者被纳入相关研究。我们从11名MetS患者和9名对照中收集外周血单核细胞（PBMC），并比较全基因组基因表达和DNA甲基化特征。其余12名参与者用于候选组的实验验证。我们提供了使用Infinium Human MethylationEPIC BeadChIP阵列获得的原始、分析和过滤后的全基因组DNA甲基化数据，以及全转录组测序数据（登录号GSE181647）。我们列出了差异表达和差异甲基化的基因及其生物学功能。这些数据可作为筛选MetS合适表观遗传生物标志物的基础。
