bioRxivGenomicsPreprint
Brain Region-Specific Epigenomic Reorganization and Altered Cell States in Alzheimer's Disease
Wenliang WangiD, Peter BerubeiD, Bing YangiD, Rosa CastanoniD, Anna BartlettiD, Kaushik Komandur, Joseph R. NeryiD, Cesar BarraganiD, Mia A. KenworthyiD, Cynthia ValadoniD, Jordan AltshuliD, Alaina Petrella, Derek Chan, Chumo CheniD, Andrea Saldana Acerbo, Jammy Luo, Manya Jain, Eshaan Soma, Huaming CheniD, Michelle LiemiD, Mikayla V. Marrin, Caz O’ConnoriD, Nathan R. ZemkeiD, Derek H. OakleyiD, Bing ReniD, , Joseph R. EckeriD
Abstract
Alzheimers disease (AD) is the most common neurodegenerative disorder, yet the molecular mechanisms underlying its region- and cell-type-specific pathogenesis remain poorly defined. Here, we generated a large-scale, single-cell multi-omic atlas--integrating DNA methylation and 3D genome architecture--from postmortem brain tissue of matched AD patients and cognitively normal controls. Samples were collected from three brain regions with distinct vulnerability to AD pathology: the temporal cortex (TC), primary visual cortex (VC), and prefrontal cortex (PFC). Our dataset comprises over 230,000 individual cells, spanning major neuronal and glial populations, and provides a high-resolution view of multi-layer epigenomic regulation. We identified widespread AD-associated DNA methylation changes and marked reorganization of 3D genome structure, including alterations in A/B compartments, topologically associating domains (TADs), and chromatin loops. These changes are strongly region-specific: TC displays pronounced hypermethylation, transcriptional downregulation, and elevated boundary density, whereas VC shows opposing trends and PFC an intermediate profile. We further uncovered previously unrecognized AD-associated glial and neuronal states defined by coordinated epigenomic dysregulation and recurrent genomic deletions, particularly near telomeric regions. This region-resolved, single-cell multi-omic atlas reveals divergent epigenomic trajectories across brain regions and cell types in AD, offering new mechanistic insights and a framework for targeted therapeutic strategies.
- organism: human
- assay: DNA methylation
- assay: Hi-C
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 0
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