Single-nucleus and spatial transcriptomic profiling of human temporal cortex and white matter reveals novel associations with AD pathology
Gaur, P.; Bryois, J.; Calini, D.; Foo, L.; Hoozemans, J. J. M.; Malhotra, D.; Menon, V.
Show abstract
Alzheimers disease (AD) is a neurodegenerative disorder with complex pathological manifestations and is the leading cause of cognitive decline and dementia in elderly individuals. A major goal in AD research is to identify new therapeutic pathways by studying the molecular and cellular changes in the disease, either downstream or upstream of the pathological hallmarks. In this study, we present a comprehensive investigation of cellular heterogeneity from the temporal cortex region of 40 individuals, comprising healthy donors and individuals with differing tau and amyloid burden. Using single-nucleus transcriptome analysis of 430,271 nuclei from both gray and white matter of these individuals, we identified cell type-specific subclusters in both neuronal and glial cell types with varying degrees of association with AD pathology. In particular, these associations are present in layer specific glutamatergic (excitatory) neuronal types, along with GABAergic (inhibitory) neurons and glial subtypes. These associations were observed in early as well as late pathological progression. We extended this analysis by performing multiplexed in situ hybridization using the CARTANA platform, capturing 155 genes in 13 individuals with varying levels of tau pathology. By modeling the spatial distribution of these genes and their associations with the pathology, we not only replicated key findings from our snRNA data analysis, but also identified a set of cell type-specific genes that show selective enrichment or depletion near pathological inclusions. Together, our findings allow us to prioritize specific cell types and pathways for targeted interventions at various stages of pathological progression in AD.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Molecular estimation of neurodegeneration pseudotime in older brains 98%
- Molecular Signatures of Resilience to Alzheimer's Disease in Neocortical Layer 4 Neurons 98%
- Cell-type-specific Alzheimer’s disease polygenic risk scores are associated with distinct disease processes in Alzheimer’s disease 97%
Similar papers in this journal
Similar papers in this journal
- Single nuclei RNAseq stratifies multiple sclerosis patients into distinct white matter glia responses 97%
- A systems biology-based identification and in vivo functional screening of Alzheimer's disease risk genes reveals modulators of memory function 96%
- Reconstructed Cell-Type Specific Rhythms in Human Brain link Alzheimer's Pathology, Circadian Stress, and Ribosomal Disruption 96%
Similar papers in this journal
- Natural genetic variation determines microglia heterogeneity in wild-derived mouse models of Alzheimer's disease 97%
- Applying high-resolution spatial transcriptomics to characterise the amyloid plaque cell niche in Alzheimer's Disease 96%
- Spatiotemporal analysis of gene expression in the human dentate gyrus reveals age-associated changes in cellular maturation and neuroinflammation 96%
"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.