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eCAM Advance Access originally published online on January 16, 2006
eCAM 2006 3(1):65-70; doi:10.1093/ecam/nek001
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© The Author (2006). Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions@oxfordjournals.org

The Use of Gene Expression Analysis and Proteomic Databases in The Development of a Screening System To Determine The Value of Natural Medicinal Products

Sidney Katz1, Robert Harris2, Jeffrey Tien-Yau Lau1 and Adeline Chau1

1Division of Pharmacology and Toxicology, Faculty of Pharmaceutical Sciences, University of British Columbia Vancouver, Canada V6T 1Z3, and 2Department of Zoology, University of British Columbia Vancouver, Canada V6T 1Z3

A rapid throughput screening system involving gene expression analysis was developed in order to investigate the potential of bioactive chemicals contained in natural health products as effective drug therapy, in particular the ability of these chemicals to alleviate the inflammatory response in human airway epithelial cells. A number of databases were searched to retrieve the information needed to properly analyze the gene expression profiles obtained. The gene expression of human bronchial epithelial cells infected with rhinovirus and/or exposed to platelet activating factor was analyzed. Following analysis of the gene expression data the total number of expressed proteins that may potentially act as a marker for monitoring the modulation of airway inflammation was narrowed to 19. Further studies will involve selecting antibodies for these proteins, culturing airway epithelial cells in the presence of extracts of natural health products, extracting the proteins and identifying them by western blot analysis.

Keywords: gene expression analysis – proteomic databases – airway epithelial cells

For reprints and all correspondence: Dr Sid Katz, University of British Columbia, 2146 East Mall, Vancouver, British Columbia, Canada V6T 1Z1. Tel: +1-604-822-1947; Fax: +1-604-263-5257; E-mail: sid.katz{at}ubc.ca


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