Early microglial priming in Alzheimer’s disease revealed by ME-seq

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Authors: Bohan Zhu, Anurupa Ghosh, Zhe Wang, Zhicong Liao, Michael Gyasi Appiah, Jiayi Li, Mimi Zhang, Federico Di Tullio, Agata Kurowski, John Fullard, Elvin Wagenblast, Martin J. Walsh
+5 more Alison M. Goate, Panos Roussos, Ka Lung Cheung, Nan Yang, Sai Ma
Cited by: 2
References: 45

Abstract

Epigenetic modifications, particularly DNA methylation, change dynamically with aging and are implicated in Alzheimer's Disease (AD), yet how methylation interfaces with transcriptional and chromatin regulation at single-cell resolution remains poorly understood. Progress has been limited by a lack of scalable technologies capable of jointly profiling these regulatory layers. Here, we present ME-seq, a highly scalable technologies capable of simultaneously profiling DNA methylation, gene expression, and chromatin accessibility, while achieving a 100-fold reduction in cost. We generated over 400,000 single-nucleus trimodal profiles from the aging and AD mouse brain across ages, producing the first such atlas of neurodegeneration. We found AD progression triggers pronounced, disease-specific shifts in cellular composition, characterized by accelerated epigenetic aging and the expansion of disease-associated microglia (DAM). Integrative analyses, including aging clocks, revealed that DNA methylation acts as an early priming layer preceding transcriptional activation with IRF1 identified as a methylation-sensitive transcription factor serving as a gatekeeper for DAM activation. Our results establish ME-seq as a transformative tool for large-scale epigenomic dissection, revealing DNA methylation as a primary coordinator of cell-state transitions in the aging brain.

Fields of Study & Subjects

Epigenetics and DNA Methylation Neuroinflammation and Neurodegeneration Mechanisms Single-cell and spatial transcriptomics

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
2 February 2026
Language
EN
Document type
Preprint