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Nucleic Acids Research 2004 32(11):e93; doi:10.1093/nar/gnh084
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Published online 1 July 2004

Nucleic Acids Research, Vol. 32 No. 11 © Oxford University Press 2004; all rights reserved

A method for cross-species gene expression analysis with high-density oligonucleotide arrays

Wan Ji*, Wenli Zhou, Keqin Gregg, Nan Yu, Scott Davis and Sara Davis

ViaGen Inc., 12357-A Riata Trace Parkway, Suite 100, Austin, TX 78727, USA

* To whom correspondence should be addressed. Tel: +1 512 401 5904; Fax: +1 512 401 5919; Email: wan.ji{at}viagen.com

Received January 22, 2004; Revised April 7, 2004; Accepted May 26, 2004

DNA microarrays have been widely used in gene expression analysis of biological processes. Due to a lack of sequence information, the applications have been largely restricted to humans and a few model organisms. Presented within this study are results of the cross-species hybridization with Affymetrix human high-density oligonucleotide arrays or GeneChip® using distantly related mammalian species; cattle, pig and dog. Based on the unique feature of the Affymetrix GeneChip® where every gene is represented by multiple probes, we hypothesized that sequence conservation within mammals is high enough to generate sufficient signals from some of the probes for expression analysis. We demonstrated that while overall hybridization signals are low for cross-species hybridization, a few probes of most genes still generated signals equivalent to the same-species hybridization. By masking the poorly hybridized probes electronically, the remaining probes provided reliable data for gene expression analysis. We developed an algorithm to select the reliable probes for analysis utilizing the match/mismatch feature of GeneChip®. When comparing gene expression between two tissues using the selected probes, we found a linear correlation between the cross-species and same-species hybridization. In addition, we validated cross-species hybridization results by quantitative PCR using randomly selected genes. The method shown herein could be applied to both plant and animal research.


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