Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Re-engineering adenovirus vector systems to enable high-throughput analyses of gene function

Stanton, Richard James, McSharry, Brian Patrick, Armstrong, Melanie Louise, Tomasec, Peter and Wilkinson, Gavin William Grahame 2008. Re-engineering adenovirus vector systems to enable high-throughput analyses of gene function. Biotechniques 45 (6) , pp. 659-668.

Full text not available from this repository.

Abstract

With the enhanced capacity of bioinformatics to interrogate extensive banks of sequence data, more efficient technologies are needed to test gene function predictions. Replication-deficient recombinant adenovirus (Ad) vectors are widely used in expression analysis since they provide for extremely efficient expression of transgenes in a wide range of cell types. To facilitate rapid, high-throughput generation of recombinant viruses, we have re-engineered an adenovirus vector (designated AdZ) to allow single-step, directional gene insertion using recombineering technology. Recombineering allows for direct insertion into the Ad vector ofPCR products, synthesized sequences, or oligonucleotides encoding shRNAs without requirement for a transfer vector. Vectors were optimized for high-throughput applications by making them “self-excising” through incorporating the I-SceI homing endonuclease into the vector, removing the need to linearize vectors prior to transfection into packaging cells. AdZvectors allow genes to be expressed in their native form or with strep, V5, or GFP tags. Insertion of tetracycline operators downstream of the human cytomegalovirus major immediate early (HCMV MIE) promoter permits silencing of transgenes in helper cells expressing the tet repressor, thus making the vector compatible with the cloning of toxic gene products. The AdZ vector system is robust, straightforward, and suited to both sporadic and high-throughput applications.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
Systems Immunity Research Institute (SIURI)
Subjects: Q Science > QR Microbiology > QR180 Immunology
Q Science > QR Microbiology > QR355 Virology
Publisher: Biotechniques
ISSN: 0736-6205
Last Modified: 28 Jun 2019 02:41
URI: http://orca.cf.ac.uk/id/eprint/17749

Citation Data

Cited 55 times in Google Scholar. View in Google Scholar

Cited 50 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item