Alzheimer's disease transcriptional landscape in ex vivo human microglia.

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Title: Alzheimer's disease transcriptional landscape in ex vivo human microglia.
Authors: Kosoy, Roman (AUTHOR), Fullard, John F. (AUTHOR), Bendl, Jaroslav (AUTHOR), Kleopoulos, Steven P. (AUTHOR), Shao, Zhiping (AUTHOR), Argyriou, Stathis (AUTHOR), Mathur, Deepika (AUTHOR), Psychogyiou, Konstantina (AUTHOR), Malakates, Periklis (AUTHOR), Vicari, James (AUTHOR), Ma, Yixuan (AUTHOR), Humphrey, Jack (AUTHOR), Brophy, Erica (AUTHOR), Raj, Towfique (AUTHOR), Katsel, Pavel (AUTHOR), Voloudakis, Georgios (AUTHOR), Lee, Donghoon (AUTHOR), Bennett, David A. (AUTHOR), Haroutunian, Vahram (AUTHOR), Hoffman, Gabriel E. (AUTHOR)
Source: Nature Neuroscience. Sep2025, Vol. 28 Issue 9, p1830-1843. 14p.
Abstract: Microglia are resident immune cells of the brain and are implicated in the etiology of Alzheimer's disease (AD) and other diseases. Yet the cellular and molecular processes regulating their function throughout the course of the disease are poorly understood. Here, we present a transcriptional analysis of primary microglia from 189 human postmortem brains, including 58 healthy aging individuals and 131 with a range of disease phenotypes, such as 63 patients representing the full clinical and pathological spectra of AD. We identified changes associated with multiple AD phenotypes, capturing the severity of dementia and neuropathological lesions. Transcript-level analyses identified additional genes with heterogeneous isoform usage and AD phenotypes. We identified changes in gene–gene coordination in AD, dysregulation of coexpression modules and disease subtypes with distinct gene expression patterns. Taken together, these data further our understanding of the key role that microglia have in AD biology and nominate candidates for therapeutic intervention. Here the authors provide a comprehensive transcriptomic dataset of human primary microglia for Alzheimer's disease and healthy aging. They identify dysregulation of immune-related microglial functions as a hallmark of disease. [ABSTRACT FROM AUTHOR]
Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Alzheimer's disease transcriptional landscape in ex vivo human microglia.
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  Data: Microglia are resident immune cells of the brain and are implicated in the etiology of Alzheimer's disease (AD) and other diseases. Yet the cellular and molecular processes regulating their function throughout the course of the disease are poorly understood. Here, we present a transcriptional analysis of primary microglia from 189 human postmortem brains, including 58 healthy aging individuals and 131 with a range of disease phenotypes, such as 63 patients representing the full clinical and pathological spectra of AD. We identified changes associated with multiple AD phenotypes, capturing the severity of dementia and neuropathological lesions. Transcript-level analyses identified additional genes with heterogeneous isoform usage and AD phenotypes. We identified changes in gene–gene coordination in AD, dysregulation of coexpression modules and disease subtypes with distinct gene expression patterns. Taken together, these data further our understanding of the key role that microglia have in AD biology and nominate candidates for therapeutic intervention. Here the authors provide a comprehensive transcriptomic dataset of human primary microglia for Alzheimer's disease and healthy aging. They identify dysregulation of immune-related microglial functions as a hallmark of disease. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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