ArticleNature communications2024
Single cell transcriptomes and multiscale networks from persons with and without Alzheimer's disease.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Personalized single-cell transcriptomics reveals molecular diversity in Alzheimer's disease.Nature communications · 2026Article
- Single cell transcriptomic analysis by deep learning identifies novel microglial transcription regulations in Alzheimer's Disease.AI in neuroscience · 2026Article
- Review
- Spatial proteomic analysis in human Alzheimer's disease brains enables identification of microenvironment-dependent microglial cell states.Nature neuroscience · 2026Article
- MipSScs: Artificial neural network-based data integration of 2D/3D single-cell spatial RNA sequence data from virus-infected human cerebral organoids.bioRxiv : the preprint server for biology · 2026Article
- Using iPSC models to examine neuron-glia interactions in neurodegenerative diseases.Bioscience reports · 2026Review
- Uncovering Spatiotemporal and Functional Dynamics of Long Non-coding RNAs During Alzheimer's Progression in the Human Brain at Single-Cell Resolution.Molecular neurobiology · 2026Article
- scTWAS: a powerful statistical framework for single-cell transcriptome-wide association studies.Nature communications · 2026Article
- The dysregulation of innate immunity by Porphyromonas gingivalis in the etiology of Alzheimer's disease.Journal of internal medicine · 2026Review
- Altered Microglia-Neuron Crosstalk and Regional Heterogeneity in Alzheimer's Disease Revealed by Single-Nucleus RNA Sequencing.International journal of molecular sciences · 2026Article
- A high-throughput, quantitative platform using 2D dissociated human cerebral organoids to model neuroinflammation in Alzheimer's disease.NPJ dementia · 2026Article
- Modeling Alzheimer's disease with brain organoids: mechanisms, applications, and future directions.Frontiers in cell and developmental biology · 2026Review
- Review
- scTWAS: A powerful statistical framework for single-cell transcriptome-wide association studies.Research square · 2025Article
- Single-nucleus transcriptomics reveals a distinct microglial state and increased MSR1-mediated phagocytosis as common features across dementia subtypes.Genome medicine · 2025Article
- Population-scale cross-disorder atlas of the human prefrontal cortex at single-cell resolution.Scientific data · 2025Article
- Integrative multi-omics QTL colocalization maps regulatory architecture in aging human brain.medRxiv : the preprint server for health sciences · 2025Article
- Decoding microglial functions in Alzheimer's disease: insights from human models.Trends in immunology · 2025Review
- Fokker-Planck diffusion maps of microglial transcriptomes reveal radial differentiation into substates associated with Alzheimer's pathology.Communications biology · 2025Article
- Reduced tolerogenic factor sCD83 in NMOSD and relapsing MOGAD: a potential new therapeutic pathway.Frontiers in immunology · 2025Article
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Abstract
The emergence of single nucleus RNA sequencing (snRNA-seq) offers to revolutionize the study of Alzheimer's disease (AD). Integration with complementary multiomics data such as genetics, proteomics and clinical data provides powerful opportunities to link cell subpopulations and molecular networks with a broader disease-relevant context. We report snRNA-seq profiles from superior frontal gyrus samples from 101 well characterized subjects from the Banner Brain and Body Donation Program in combination with whole genome sequences. We report findings that link common AD risk variants with CR1 expression in oligodendrocytes as well as alterations in hematological parameters. We observed an AD-associated CD83(+) microglial subtype with unique molecular networks and which is associated with immunoglobulin IgG4 production in the transverse colon. Our major observations were replicated in two additional, independent snRNA-seq data sets. These findings illustrate the power of multi-tissue molecular profiling to contextualize snRNA-seq brain transcriptomics and reveal disease biology.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.