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Microarray and real-time RT-PCR analyses of a novel set of differentially expressed human genes in ECV304 endothelial-like cells infected with dengue virus type 2.

Liew KJ, Chow VT

Human Genome Laboratory, Department of Microbiology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Kent Ridge 117597, Singapore.

The cellular and molecular pathways of dengue infection have not been as intensively studied compared to the host immunological responses. Changes in mRNA expression levels of ECV304 human endothelial-like cells following infection with the virulent New Guinea C strain of dengue virus type 2 were analyzed by a microarray system comprising 7600 oligonucleotide cDNAs. After normalization against the uninfected control using two independent software programs, 111 genes exhibited at least a 1.5-fold difference in expression level. Out of these, 21 mRNAs were upregulated while 90mRNAs were downregulated. Quantitative real-time RT-PCR was then performed to determine the expression patterns of 15 selected genes of interest involved in the cell cycle (MAD3), apoptosis (RIPK3, PDCD8), cellular receptors (H963, CCR7, KLRC3), transcriptional regulation (RUNX3, HNF4G, MIZ1), signal transduction (HSP27, TRIP, MAP4K4), enzymes (angiotensinogen), protein transport (AP4M1), and cytoskeleton (ACTA2). Dengue virus infection resulted in the downregulation of the C-terminal alternatively spliced p53 variant, the pro-apoptotic IG20 and IG20-SV2 isoforms, and the Fas apoptosis inhibitory molecule (FAIM). Most of the real-time RT-PCR data showed concordance with the normalized microarray data. Hence, real-time RT-PCR validation of high-throughput gene microarray screening is important and necessary before further conclusions on gene expression can be drawn. This study elucidated novel information on the complex responses at the transcriptional level in susceptible human endothelial-like cells induced by a virulent dengue virus strain implicated in the pathogenesis of dengue and/or its complications.

Published 12 December 2005 in J Virol Methods, 131(1): 47-57.
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Microarrays Books

Methods of Microarray Data Analysis V

Methods of Microarray Data Analysis V