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Systematic phenotyping and characterization of the 5xFAD mouse model of Alzheimer’s disease
- 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
- Subjects :
- Statistics and Probability
Data Descriptor
Science
Long-Term Potentiation
Congenic
Neuropathology
Disease
Computational biology
Biology
Library and Information Sciences
Hippocampus
Synaptic Transmission
Education
Mice
Alzheimer Disease
Animals
RNA-Seq
Behavior, Animal
Extramural
Cognition
Cognitive neuroscience
Computer Science Applications
Mice, Inbred C57BL
Disease Models, Animal
Phenotype
Statistics, Probability and Uncertainty
Information Systems
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 20524463
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Scientific Data
- Accession number :
- edsair.doi.dedup.....f17a1cc34e84f6ed45e37ad845b3148d