| Literature DB >> 35381189 |
Jessica S Sadick1, Michael R O'Dea1, Philip Hasel1, Taitea Dykstra1, Arline Faustin2, Shane A Liddelow3.
Abstract
Resolving glial contributions to Alzheimer's disease (AD) is necessary because changes in neuronal function, such as reduced synaptic density, altered electrophysiological properties, and degeneration, are not entirely cell autonomous. To improve understanding of transcriptomic heterogeneity in glia during AD, we used single-nuclei RNA sequencing (snRNA-seq) to characterize astrocytes and oligodendrocytes from apolipoprotein (APOE) Ɛ2/3 human AD and age- and genotype-matched non-symptomatic (NS) brains. We enriched astrocytes before sequencing and characterized pathology from the same location as the sequenced material. We characterized baseline heterogeneity in both astrocytes and oligodendrocytes and identified global and subtype-specific transcriptomic changes between AD and NS astrocytes and oligodendrocytes. We also took advantage of recent human and mouse spatial transcriptomics resources to localize heterogeneous astrocyte subtypes to specific regions in the healthy and inflamed brain. Finally, we integrated our data with published AD snRNA-seq datasets, highlighting the power of combining datasets to resolve previously unidentifiable astrocyte subpopulations.Entities:
Keywords: Alzheimer's disease; astrocyte; dataset integration; glia; heterogeneity; inflammation; neurodegeneration; oligodendrocyte; single-nuclei sequencing; spatial transcriptomics
Mesh:
Substances:
Year: 2022 PMID: 35381189 PMCID: PMC9167747 DOI: 10.1016/j.neuron.2022.03.008
Source DB: PubMed Journal: Neuron ISSN: 0896-6273 Impact factor: 18.688