Details

Autor(en) / Beteiligte

• Forner, Stefania
• Kawauchi, Shimako
• Balderrama-Gutierrez, Gabriela
• Kramár, Enikö A.
• Matheos, Dina P.
• Phan, Jimmy
• Javonillo, Dominic I.
• Tran, Kristine M.
• Hingco, Edna
• da Cunha, Celia
• Rezaie, Narges
• Alcantara, Joshua A.
• Baglietto-Vargas, David
• Jansen, Camden
• Neumann, Jonathan
• Wood, Marcelo A.
• MacGregor, Grant R.
• Mortazavi, Ali
• Tenner, Andrea J.
• LaFerla, Frank M.
• Green, Kim N.

Titel

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

Ist Teil von

• Scientific data, 2021-10, Vol.8 (1), p.270-270, Article 270

Ort / Verlag

London: Nature Publishing Group UK

Erscheinungsjahr

2021

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• 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. Measurement(s) Protein Expression • gene expression • electrophysiology data • protein measurement • behavior Technology Type(s) immunofluorescence microscopy assay • RNA sequencing • electrophysiology assay • Electrochemiluminescence Immunoassay • animal activity monitoring system Factor Type(s) genotype • age • sex Sample Characteristic - Organism Mus musculus Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.15176109