Evaluation of the host transcriptional response to human cytomegalovirus infection

Jean F. Challacombe, Andreas Rechtsteiner, Raphael Gottardo, Luis M. Rocha, Edward P. Browne, Thomas Shenk, Michael R. Altherr, Thomas S. Brettin

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Gene expression data from human cytomegalovirus (HCMV)-infected cells were analyzed using DNA-Chip Analyzer (dChip) followed by singular value decomposition (SVD) and compared with 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 coexpressed 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.

Original languageEnglish (US)
Pages (from-to)51-62
Number of pages12
JournalPhysiological Genomics
Volume18
DOIs
StatePublished - Oct 2004

All Science Journal Classification (ASJC) codes

  • Physiology
  • Genetics

Keywords

  • Gene expression analysis
  • Herpesvirus
  • Pathogenesis

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