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Dataset Information

Hierarchical deconvolution for extensive cell type resolution in the human brain using DNA methylation.


ABSTRACT:

Introduction

The human brain comprises heterogeneous cell types whose composition can be altered with physiological and pathological conditions. New approaches to discern the diversity and distribution of brain cells associated with neurological conditions would significantly advance the study of brain-related pathophysiology and neuroscience. Unlike single-nuclei approaches, DNA methylation-based deconvolution does not require special sample handling or processing, is cost-effective, and easily scales to large study designs. Existing DNA methylation-based methods for brain cell deconvolution are limited in the number of cell types deconvolved.

Methods

Using DNA methylation profiles of the top cell-type-specific differentially methylated CpGs, we employed a hierarchical mode

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC10315586 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature