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Spatial distribution and chromatin accessibility determine the therapeutic capacity of microglial subsets during neurodegeneration [ATAC-seq]

GSE296025 Mus musculus Genome binding/occupancy profiling by high throughput sequencing 9 samples Submitted 2025/04/30 Platform GPL13112
Summary
Microglial spatial heterogeneity remains a crucial yet poorly studied question in light of potential cell-directed therapies for Alzheimer`s disease (AD). Little is known about the dynamics of spatially distinct microglia states, which are either adjacent or non-associated with the plaque site, and their selective contributions to neurodegeneration in vivo. So far, research has essentially focused on pathology-associated microglia. Here, we combined novel multicolour fluorescence fate mapping, single-cell transcriptional analysis, epigenetic profiling, advanced immunohistochemistry and computational modelling to comprehensively characterize the relation of plaque-associated and non-plaque-associated microglia during neurodegeneration in female mice. This approach enabled us to identify and characterize non-plaque-associated microglia as a unique and highly dynamic microglial state in a mouse model of AD. Non-plaque-associated microglia modulate network expansion, quickly adapt to environmental cues and their transition to plaque-associated microglia can be specifically modulated during disease, contrary to their reputation as a passive bystander subpopulation. This description of the dynamics of spatially segregated microglial states and their distinct molecular features may therefore open promising new avenues for state-specific therapeutic interventions during neurodegeneration.
Published in
Response of spatially defined microglia states with distinct chromatin accessibility in a mouse model of Alzheimer's disease
Ardura-Fabregat A, Bosch LFP, Wogram E et al. · Nature neuroscience 2025 · PMID 40659845 · doi:10.1038/s41593-025-02006-0
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Direct links to NCBI, no account and no request form: the whole study as GSE296025_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 9 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1257341 and SRA study SRP582419. Searching any of these in the dataset finder brings you back here.

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