Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2025 Nov;62(11):14459-14473.
doi: 10.1007/s12035-025-04997-0. Epub 2025 Apr 30.

Decoding Alzheimer's Disease: Single-Cell Sequencing Uncovers Brain Cell Heterogeneity and Pathogenesis

Affiliations
Review

Decoding Alzheimer's Disease: Single-Cell Sequencing Uncovers Brain Cell Heterogeneity and Pathogenesis

Ya-Nan Ma et al. Mol Neurobiol. 2025 Nov.

Abstract

Alzheimer's disease (AD) is a complex neurodegenerative disorder marked by progressive cognitive decline and diverse neuropathological features. Recent advances in single-cell sequencing technologies have provided unprecedented insights into the cellular and molecular heterogeneity of the AD brain. This review systematically summarizes the applications of single-cell transcriptomic and epigenomic approaches in AD research, with a focus on the characterization of cell type- and subtype-specific transcriptomic alterations. This review highlights key discoveries related to selectively vulnerable neuronal and glial subpopulations, as well as transcriptional dysregulation associated with genetic risk loci such as APOE and TREM2. This review also discusses how the integration of single-cell RNA sequencing (scRNA-seq), assays for transposase-accessible chromatin using sequencing (ATAC-seq), and spatial transcriptomics elucidates disease trajectories and cellular communication networks across pathological stages. These insights not only enhance the understanding of the pathogenesis of AD but also pave the way for precision medicine through the identification of novel therapeutic targets and biomarkers.

Keywords: ATAC-seq; Alzheimer’s disease; Cell heterogeneity; Gene regulation; Neuropathology; Single-cell sequencing.

PubMed Disclaimer

Conflict of interest statement

Declarations. Ethics Approval and Consent to Participate: Not applicable. Consent for Publication: Not applicable. Conflict of Interest: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The cumulative dysfunction of multiple cell types in Alzheimer’s disease drives the progression of neurodegeneration. Brain tissue was processed into a single-cell suspension and subjected to scRNA-seq analysis to explore cell heterogeneity. In AD, excitatory neurons exhibit hyperactivity before their loss while selectively vulnerable inhibitory neurons are depleted. Microglia in AD exist in various states, including resting microglia, MAEAD, and MALAD. TREM2 plays a key role by promoting the transcriptional activation of resting microglia, enabling them to engage in Aβ phagocytosis. However, microglial subpopulations involved in synaptic pruning and clearance are lost under AD-related stress. Moreover, astrocytes associated with AD downregulate neurotransmitter metabolism-related genes such as SLC1 A2 and GLUL, leading to dysregulation of neurotransmitter cycling. This dysfunction results in excitotoxicity, which contributes to neuronal death. Similarly, oligodendrocytes in AD downregulate myelination-related genes, including MAG and MOBP. This reduction in gene expression decreases the population of mature myelinating oligodendrocytes, further promoting neuronal degeneration. In addition, vascular endothelial cells in AD upregulate angiogenesis-related genes like CLDN5, ERG, and VWF, which induce inflammation and cause immune dysregulation. At the same time, the downregulation of ABCB1 and ATP10 A in endothelial cells compromises the integrity of the BBB, leading to its disruption. This cumulative impact of dysfunction of various cell types in AD contributes to the overall progression of the disease. BBB, blood–brain barrier; MAEAD, microglia associated with early AD; MALAD, microglia associated with late AD

References

    1. Oh ES, Rabins PV (2019) Dementia. Ann Intern Med 171:ITC33-ITC48. 10.7326/AITC201909030 - PubMed
    1. Deng Y, Wang H, Gu K et al (2023) Alzheimer’s disease with frailty: prevalence, screening, assessment, intervention strategies and challenges. Biosci Trends 17:283–292. 10.5582/bst.2023.01211 - DOI - PubMed
    1. Hodson R (2018) Alzheimer’s disease. Nature 559:S1. 10.1038/d41586-018-05717-6 - DOI - PubMed
    1. Wang C, Song P, Niu Y (2022) The management of dementia worldwide: a review on policy practices, clinical guidelines, end-of-life care, and challenge along with aging population. Biosci Trends 16:119–129. 10.5582/bst.2022.01042 - DOI - PubMed
    1. Diseases GBD, Injuries C (2020) Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396:1204–1222. 10.1016/S0140-6736(20)30925-9 - DOI - PMC - PubMed

LinkOut - more resources