five

Longitudinal Personal DNA Methylome Dynamics in a Human with a Chronic Condition

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE111405
下载链接
链接失效反馈
官方服务:
资源简介:
Epigenomics regulates gene expression and is as important as genomics in precision personal health, as it is heavily influenced by environment and lifestyle. We profiled whole genome DNA methylation and corresponding transcriptome of peripheral blood mononuclear cells collected from a human volunteer over a period of 36 months, generating 28 methylome and 57 transcriptome datasets. We found that DNA methylomic changes are associated with infrequent glucose levels alteration, whereas the transcriptome underwent dynamic changes during events such as viral infections. Most DNA meta-methylome changes occurred 80-90 days prior to clinically detectable glucose elevation. Analysis of the deep personal methylome dataset revealed an unprecedented number of allelic differentially methylated regions (aDMR) which remain stable longitudinally and are preferentially associated with allele-specific gene regulation. Our results revealed that different types of "omics" data associate with different aspects of conditions of this individual: DNA methylation with chronic disease and transcriptome with acute events. Whole genome bisulfite sequencing and RNA-Sequencing.
创建时间:
2019-03-27
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作