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1 Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA
2 Computing and Computational Science Division, Los Alamos National Laboratory, Los Alamos, NM, USA
3 Department of Molecular Biology, Princeton University, Princeton, NJ, USA
* To whom correspondence should be addressed. E-mail: jchalla{at}lanl.gov.
Gene expression data from human cytomegalovirus (HCMV)-infected cells were analyzed using DNA-Chip Analyzer (dChip) followed by Singular Value Decomposition (SVD) and compared to a previous analysis of the same data that employed GeneChip software and a fold change filtering approach. dChip and SVD analysis revealed two clusters of co-expressed human genes responding differently to HCMV infection: one containing some genes identified previously, and another that was largely unique to this analysis. Annotating these genes, we identified several functional categories important to host cell responses to HCMV infection. These categories included genes involved in transcriptional regulation, oncogenesis and cell cycle regulation, which were more prevalent in cluster 1, and genes involved in immune system regulation, signal transduction and cell adhesion, which were more prevalent in cluster 2. Within these categories, we found genes involved in the host response to HCMV infection (mainly in cluster 1), as well as genes targeted by HCMV's immune evasion strategies (mainly in cluster 2). As the second group of genes identified by the dChip and SVD approach was statistically and biologically significant, our results point out the advantages of using different methods to analyze gene expression data.
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