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Adaptable toolbox to characterize Alzheimer’s disease pathology in mouse models

Here, we describe a highly adaptable toolbox for characterizing and analyzing molecular and histopathological changes in Alzheimer’s disease (AD) mouse models. We detail optimized and streamlined approaches from sample preparation to image analysis to facilitate reproducible analyses. We also descri...

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Detalles Bibliográficos
Autores principales: Huang, Youtong, Lemke, Greg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722779/
https://www.ncbi.nlm.nih.gov/pubmed/36472212
http://dx.doi.org/10.1016/j.xpro.2022.101891
Descripción
Sumario:Here, we describe a highly adaptable toolbox for characterizing and analyzing molecular and histopathological changes in Alzheimer’s disease (AD) mouse models. We detail optimized and streamlined approaches from sample preparation to image analysis to facilitate reproducible analyses. We also describe the extraction and measurement of the soluble Aβ level by sandwich ELISA in the cortex and hippocampus of AD mouse models before and after plaque deposition. Finally, we outline the steps for image quantification and analysis using Imaris and ImageJ. For complete details on the use and execution of this protocol, please refer to Huang et al. (2021).(1)