gms | German Medical Science

International Conference on SARS - one year after the (first) outbreak

08. - 11.05.2004, Lübeck

Transcriptional profiling of mouse hepatitis virus infection in vitro

Poster

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  • corresponding author presenting/speaker Gijs Versteeg - Molecular Virology Laboratory, Dept. Medical Microbiology, Leiden University Medical Center Room L4-40, Leiden, The Netherlands
  • Olga Slobodskaya - Molecular Virology Laboratory, Dept. Medical Microbiology, Leiden University Medical Center Room L4-40, Leiden, The Netherlands
  • Willy Spaan - Molecular Virology Laboratory, Dept. Medical Microbiology, Leiden University Medical Center Room L4-40, Leiden, The Netherlands

International Conference on SARS - one year after the (first) outbreak. Lübeck, 08.-11.05.2004. Düsseldorf, Köln: German Medical Science; 2004. Doc04sarsP12.03

Die elektronische Version dieses Artikels ist vollständig und ist verfügbar unter: http://www.egms.de/de/meetings/sars2004/04sars136.shtml

Veröffentlicht: 26. Mai 2004

© 2004 Versteeg et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielf&aauml;ltigt, verbreitet und &oauml;ffentlich zug&aauml;nglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Rooted phylogenetic tree analysis recently revealed that SARS-CoV is most closely related to group 2 coronaviruses [1].

Mouse Hepatitis Virus (MHV) has been a well-characterized model virus for studying acute and persistent group 2 coronavirus infections for more than three decades in vivo and in vitro. This makes it a safe and convenient virus to assess coronavirus-host interactions in both tissue culture systems and mouse models.

To gain better insight in the host response that plays an important role in MHV infection, global gene expression profiling analysis was performed. In two independent, highly controlled infection experiments, total RNA from MHV and mock-infected mouse fibroblasts was harvested and labelled at 3, 5 and 6 hours post infection. The labelled RNAs were hybridised on Affymetrix oligo microarrays (12450) genes. The obtained expression data were normalized and compared to their respective mock-infected controls using Rosetta Resolver for data mining and MAPPfinder for gene ontology analysis.

Our analysis indicate that at 5 and 6 hpi respectively, 29 and 226 genes were up regulated > 1.5 fold and 191 and 511 genes were down-regulated > 1.5 fold with p<0.0001.

Gene ontology analysis using MAPPfinder mapped the differentially expressed genes to functional categories including inflammatory response, MHC class I response, cholesterol synthesis, protein biosynthesis, DNA synthesis and DNA repair.

These results potentially provide a better insight in chaperones, target molecules and pathways that are potentially involved in the cellular changes during group 2 coronavirus infection. In addition, these data may implement some of the cellular targets that group 2 coronaviruses utilize to adapt their host cells in such a way that they allow for a complete viral life cycle.


References

1.
Snijder et al. JMB Vol. 331 Aug 2003