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rAAV-based brain slice culture models of Alzheimer’s and Parkinson’s disease inclusion pathologies

Authors :
Wen Lang Lin
Kevin H. Strang
Brittany M. Woody
Paramita Chakrabarty
Yona Levites
Edgardo Rodriguez-Lebron
Pedro E. Cruz
Todd E. Golde
Carolina Ceballos-Diaz
Michael DeTure
Daniel Ryu
Benoit I. Giasson
Dennis W. Dickson
Cara L. Croft
Source :
The Journal of Experimental Medicine
Publication Year :
2019
Publisher :
Rockefeller University Press, 2019.

Abstract

Croft et al. demonstrate the use of recombinant adeno-associated viruses and organotypic brain slice cultures to study the central nervous system. This strategy can be used to model Alzheimer’s and Parkinson’s disease inclusion pathologies and determine mechanisms underlying neurodegeneration and therapeutic targets.<br />It has been challenging to produce ex vivo models of the inclusion pathologies that are hallmark pathologies of many neurodegenerative diseases. Using three-dimensional mouse brain slice cultures (BSCs), we have developed a paradigm that rapidly and robustly recapitulates mature neurofibrillary inclusion and Lewy body formation found in Alzheimer’s and Parkinson’s disease, respectively. This was achieved by transducing the BSCs with recombinant adeno-associated viruses (rAAVs) that express α-synuclein or variants of tau. Notably, the tauopathy BSC model enables screening of small molecule therapeutics and tracking of neurodegeneration. More generally, the rAAV BSC “toolkit” enables efficient transduction and transgene expression from neurons, microglia, astrocytes, and oligodendrocytes, alone or in combination, with transgene expression lasting for many months. These rAAV-based BSC models provide a cost-effective and facile alternative to in vivo studies, and in the future can become a widely adopted methodology to explore physiological and pathological mechanisms related to brain function and dysfunction.

Details

ISSN :
15409538 and 00221007
Volume :
216
Database :
OpenAIRE
Journal :
Journal of Experimental Medicine
Accession number :
edsair.doi.dedup.....5e789211d103e514ff64a9c16e7bce86
Full Text :
https://doi.org/10.1084/jem.20182184