Early microglial priming in Alzheimer's disease revealed by ME-seq
Zhu, B.; Ghosh, A.; Wang, Z.; Liao, Z.; Appiah, M.; Li, J.; Zhang, M.; Tullio, F. D.; Kurowski, A.; Fullard, J.; Wagenblast, E.; Walsh, M. J.; Goate, A. M.; Roussos, P.; Cheung, K. l.; Yang, N.; Ma, S.
Show abstract
Epigenetic modifications, particularly DNA methylation, change dynamically with aging and are implicated in Alzheimers 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. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=195 HEIGHT=200 SRC="FIGDIR/small/702946v1_ufig1.gif" ALT="Figure 1"> View larger version (70K): org.highwire.dtl.DTLVardef@67435dorg.highwire.dtl.DTLVardef@177c22aorg.highwire.dtl.DTLVardef@16c6fd9org.highwire.dtl.DTLVardef@231b92_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Accelerated cognitive decline in obese mouse model of Alzheimer's disease is linked to sialic acid-driven immune deregulation 98%
- In situ architecture of neuronal alpha-Synuclein inclusions 98%
- Ascertaining cells' synaptic connections and RNA expression simultaneously with massively barcoded rabies virus libraries 97%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.