Lentiviral Vector-Based Models of Amyloid Pathology: From Cells to Animals

Author(s): Laura Shaughnessy, Mary Beth Thomas, John Wakefield, Beth Chamblin, Ayyappan Nair, Frank Koentgen, Ram Ramabhadran

Journal Name: Current Alzheimer Research

Volume 2 , Issue 2 , 2005


Become EABM
Become Reviewer
Call for Editor

Abstract:

Lentiviral vectors are efficient tools for the introduction of genes into a wide range of established and primary cells in vitro, ex vivo, and in vivo, and also permit efficient transgenesis in a wide range of mammalian species. Our goals have been to apply the broad capabilities of the lentiviral vector system to AD research. Using a set of vectors expressing APP and PS1 genes, we demonstrated the efficiency and fidelity of the system for in vitro biochemical analyses of genes and pathways involved in plaque deposition. These analyses were performed in cell lines and in primary neuronal cultures, which have previously been difficult to use. The methods and tools described here are applicable to the study of effects of other genes and gene combinations on APP processing, including suppression of gene activity by delivering shRNAs. We have attempted to create local plaque pathology by stereotactic injection of APP and PS1 expressing vectors into mouse brains for use as a rapid model for plaque pathology that can be used in a broad range of mammals. No amyloid or preamyloid pathology has been detected over a six-month period; the possible reasons are discussed. Lastly, we have used the vectors to create transgenic rats expressing mutant APP and mutant PS1 and have obtained the first set of positive pups with more expected. The results presented here demonstrate the utility of Lentiviral vector-based approaches to the study of AD and other neurodegenerative diseases.

Keywords: app, presenilin, transgenic rat, primary neuronal cultures

Rights & PermissionsPrintExport Cite as

Article Details

VOLUME: 2
ISSUE: 2
Year: 2005
Published on: 01 March, 2012
Page: [239 - 247]
Pages: 9
DOI: 10.2174/1567205053585963
Price: $65

Article Metrics

PDF: 2