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Systematic phenotyping and characterization of the 5xFAD mouse model of Alzheimer’s disease

Authors :
Shimako Kawauchi
Marcelo A. Wood
Jonathan Neumann
Frank M. LaFerla
Grant R. MacGregor
Stefania Forner
Enikö A. Kramár
Camden Jansen
Edna E. Hingco
Dina P. Matheos
Joshua Andrei Alcantara
Kim N. Green
Andrea J. Tenner
Narges Rezaie
Ali Mortazavi
Gabriela Balderrama-Gutierrez
Kristine Minh Tran
David Baglietto-Vargas
Dominic I. Javonillo
Celia da Cunha
Jimmy Phan
Source :
Scientific Data, Scientific Data, Vol 8, Iss 1, Pp 1-16 (2021)
Publication Year :
2021
Publisher :
Nature Publishing Group UK, 2021.

Abstract

Mouse models of human diseases are invaluable tools for studying pathogenic mechanisms and testing interventions and therapeutics. For disorders such as Alzheimer’s disease in which numerous models are being generated, a challenging first step is to identify the most appropriate model and age to effectively evaluate new therapeutic approaches. Here we conducted a detailed phenotypic characterization of the 5xFAD model on a congenic C57BL/6 J strain background, across its lifespan – including a seldomly analyzed 18-month old time point to provide temporally correlated phenotyping of this model and a template for characterization of new models of LOAD as they are generated. This comprehensive analysis included quantification of plaque burden, Aβ biochemical levels, and neuropathology, neurophysiological measurements and behavioral and cognitive assessments, and evaluation of microglia, astrocytes, and neurons. Analysis of transcriptional changes was conducted using bulk-tissue generated RNA-seq data from microdissected cortices and hippocampi as a function of aging, which can be explored at the MODEL-AD Explorer and AD Knowledge Portal. This deep-phenotyping pipeline identified novel aspects of age-related pathology in the 5xFAD model.<br />Measurement(s)Protein Expression • gene expression • electrophysiology data • protein measurement • behaviorTechnology Type(s)immunofluorescence microscopy assay • RNA sequencing • electrophysiology assay • Electrochemiluminescence Immunoassay • animal activity monitoring systemFactor Type(s)genotype • age • sexSample Characteristic - OrganismMus musculus Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.15176109

Details

Language :
English
ISSN :
20524463
Volume :
8
Database :
OpenAIRE
Journal :
Scientific Data
Accession number :
edsair.doi.dedup.....f17a1cc34e84f6ed45e37ad845b3148d