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Quantitative in vivo assessment of amyloid-beta phagocytic capacity in an Alzheimer’s disease mouse model
Alzheimer’s disease is characterized by the deposition of extracellular amyloid-beta (Aβ) plaques. While microglial phagocytosis is a major mechanism through which Aβ is cleared, there is no method for quantitatively assessing Aβ phagocytic capacity of microglia in vivo. Here, we present a flow cyto...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811161/ https://www.ncbi.nlm.nih.gov/pubmed/33490981 http://dx.doi.org/10.1016/j.xpro.2020.100265 |
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author | Lau, Shun-Fat Wu, Wei Seo, Heukjin Fu, Amy K.Y. Ip, Nancy Y. |
author_facet | Lau, Shun-Fat Wu, Wei Seo, Heukjin Fu, Amy K.Y. Ip, Nancy Y. |
author_sort | Lau, Shun-Fat |
collection | PubMed |
description | Alzheimer’s disease is characterized by the deposition of extracellular amyloid-beta (Aβ) plaques. While microglial phagocytosis is a major mechanism through which Aβ is cleared, there is no method for quantitatively assessing Aβ phagocytic capacity of microglia in vivo. Here, we present a flow cytometry-based method for investigating the Aβ phagocytic capacity of microglia in vivo. This method enables the direct comparison of Aβ phagocytic capacity between different microglial subpopulations as well as the direct isolation of Aβ phagocytic microglia for downstream applications. For complete details on the use and execution of this protocol, please refer to Lau et al. (2020). |
format | Online Article Text |
id | pubmed-7811161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-78111612021-01-22 Quantitative in vivo assessment of amyloid-beta phagocytic capacity in an Alzheimer’s disease mouse model Lau, Shun-Fat Wu, Wei Seo, Heukjin Fu, Amy K.Y. Ip, Nancy Y. STAR Protoc Protocol Alzheimer’s disease is characterized by the deposition of extracellular amyloid-beta (Aβ) plaques. While microglial phagocytosis is a major mechanism through which Aβ is cleared, there is no method for quantitatively assessing Aβ phagocytic capacity of microglia in vivo. Here, we present a flow cytometry-based method for investigating the Aβ phagocytic capacity of microglia in vivo. This method enables the direct comparison of Aβ phagocytic capacity between different microglial subpopulations as well as the direct isolation of Aβ phagocytic microglia for downstream applications. For complete details on the use and execution of this protocol, please refer to Lau et al. (2020). Elsevier 2021-01-13 /pmc/articles/PMC7811161/ /pubmed/33490981 http://dx.doi.org/10.1016/j.xpro.2020.100265 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Lau, Shun-Fat Wu, Wei Seo, Heukjin Fu, Amy K.Y. Ip, Nancy Y. Quantitative in vivo assessment of amyloid-beta phagocytic capacity in an Alzheimer’s disease mouse model |
title | Quantitative in vivo assessment of amyloid-beta phagocytic capacity in an Alzheimer’s disease mouse model |
title_full | Quantitative in vivo assessment of amyloid-beta phagocytic capacity in an Alzheimer’s disease mouse model |
title_fullStr | Quantitative in vivo assessment of amyloid-beta phagocytic capacity in an Alzheimer’s disease mouse model |
title_full_unstemmed | Quantitative in vivo assessment of amyloid-beta phagocytic capacity in an Alzheimer’s disease mouse model |
title_short | Quantitative in vivo assessment of amyloid-beta phagocytic capacity in an Alzheimer’s disease mouse model |
title_sort | quantitative in vivo assessment of amyloid-beta phagocytic capacity in an alzheimer’s disease mouse model |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811161/ https://www.ncbi.nlm.nih.gov/pubmed/33490981 http://dx.doi.org/10.1016/j.xpro.2020.100265 |
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