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Open Access Data Note

aeGEPUCI: a database of gene expression in the dengue vector mosquito, Aedes aegypti

Sumudu N Dissanayake1, Jose MC Ribeiro2, Mei-Hui Wang3, William A Dunn1, Guiyun Yan3, Anthony A James14 and Osvaldo Marinotti1*

Author Affiliations

1 Department of Molecular Biology and Biochemistry, University of California, Irvine, CA 92697, USA

2 Laboratory of Malaria and Vector Research, National Institutes of Health (NIH/NIAID), Rockville, MD 20852, USA

3 Program in Public Health, University of California, Irvine, CA 92697, USA

4 Department of Microbiology and Molecular Genetics, University of California, Irvine, CA 92697, USA

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BMC Research Notes 2010, 3:248  doi:10.1186/1756-0500-3-248

Published: 4 October 2010

Abstract

Background

Aedes aegypti is the principal vector of dengue and yellow fever viruses. The availability of the sequenced and annotated genome enables genome-wide analyses of gene expression in this mosquito. The large amount of data resulting from these analyses requires efficient cataloguing before it becomes useful as the basis for new insights into gene expression patterns and studies of the underlying molecular mechanisms for generating these patterns.

Findings

We provide a publicly-accessible database and data-mining tool, aeGEPUCI, that integrates 1) microarray analyses of sex- and stage-specific gene expression in Ae. aegypti, 2) functional gene annotation, 3) genomic sequence data, and 4) computational sequence analysis tools. The database can be used to identify genes expressed in particular stages and patterns of interest, and to analyze putative cis-regulatory elements (CREs) that may play a role in coordinating these patterns. The database is accessible from the address http://www.aegep.bio.uci.edu webcite.

Conclusions

The combination of gene expression, function and sequence data coupled with integrated sequence analysis tools allows for identification of expression patterns and streamlines the development of CRE predictions and experiments to assess how patterns of expression are coordinated at the molecular level.