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Dataset Information

DNA methylation analysis on purified neurons and glia dissects age and Alzheimer's disease-specific changes in the human cortex.


ABSTRACT:

Background

Epigenome-wide association studies (EWAS) based on human brain samples allow a deep and direct understanding of epigenetic dysregulation in Alzheimer's disease (AD). However, strong variation of cell-type proportions across brain tissue samples represents a significant source of data noise. Here, we report the first EWAS based on sorted neuronal and non-neuronal (mostly glia) nuclei from postmortem human brain tissues.

Results

We show that cell sorting strongly enhances the robust detection of disease-related DNA methylation changes even in a relatively small cohort. We identify numerous genes with cell-type-specific methylation signatures and document differential methylation dynamics associated with aging specifically in neurons such as CLU, SYNJ2 and NCOR2 or i

SUBMITTER: Gasparoni G 

PROVIDER: S-EPMC6058387 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature