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Citations to this article

Concurrent cell type–specific isolation and profiling of mouse brains in inflammation and Alzheimer’s disease
Dan B. Swartzlander, … , Baiping Wang, Hui Zheng
Dan B. Swartzlander, … , Baiping Wang, Hui Zheng
Published July 12, 2018
Citation Information: JCI Insight. 2018;3(13):e121109. https://doi.org/10.1172/jci.insight.121109.
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Resource and Technical Advance Inflammation Neuroscience Article has an altmetric score of 11

Concurrent cell type–specific isolation and profiling of mouse brains in inflammation and Alzheimer’s disease

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Abstract

Nonneuronal cell types in the CNS are increasingly implicated as critical players in brain health and disease. While gene expression profiling of bulk brain tissue is routinely used to examine alterations in the brain under various conditions, it does not capture changes that occur within single cell types or allow interrogation of crosstalk among cell types. To this end, we have developed a concurrent brain cell type acquisition (CoBrA) methodology, enabling the isolation and profiling of microglia, astrocytes, endothelia, and oligodendrocytes from a single adult mouse forebrain. By identifying and validating anti-ACSA-2 and anti-CD49a antibodies as cell surface markers for astrocytes and vascular endothelial cells, respectively, and using established antibodies to isolate microglia and oligodendrocytes, we document that these 4 major cell types are isolated with high purity and RNA quality. We validated our procedure by performing acute peripheral LPS challenge, while highlighting the underappreciated changes occurring in astrocytes and vascular endothelia in addition to microglia. Furthermore, we assessed cell type–specific gene expression changes in response to amyloid pathology in a mouse model of Alzheimer’s disease. Our CoBrA methodology can be readily implemented to interrogate multiple CNS cell types in any mouse model at any age.

Authors

Dan B. Swartzlander, Nicholas E. Propson, Ethan R. Roy, Takashi Saito, Takaomi Saido, Baiping Wang, Hui Zheng

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Total citations by year

Year: 2025 2024 2023 2022 2021 2020 2018 Total
Citations: 4 3 9 4 6 7 2 35
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