System-based proteomic analysis of the interferon response in human liver cells

Genome Biol. 2004;5(8):R54. doi: 10.1186/gb-2004-5-8-r54. Epub 2004 Jul 22.

Abstract

Background: Interferons (IFNs) play a critical role in the host antiviral defense and are an essential component of current therapies against hepatitis C virus (HCV), a major cause of liver disease worldwide. To examine liver-specific responses to IFN and begin to elucidate the mechanisms of IFN inhibition of virus replication, we performed a global quantitative proteomic analysis in a human hepatoma cell line (Huh7) in the presence and absence of IFN treatment using the isotope-coded affinity tag (ICAT) method and tandem mass spectrometry (MS/MS).

Results: In three subcellular fractions from the Huh7 cells treated with IFN (400 IU/ml, 16 h) or mock-treated, we identified more than 1,364 proteins at a threshold that corresponds to less than 5% false-positive error rate. Among these, 54 were induced by IFN and 24 were repressed by more than two-fold, respectively. These IFN-regulated proteins represented multiple cellular functions including antiviral defense, immune response, cell metabolism, signal transduction, cell growth and cellular organization. To analyze this proteomics dataset, we utilized several systems-biology data-mining tools, including Gene Ontology via the GoMiner program and the Cytoscape bioinformatics platform.

Conclusions: Integration of the quantitative proteomics with global protein interaction data using the Cytoscape platform led to the identification of several novel and liver-specific key regulatory components of the IFN response, which may be important in regulating the interplay between HCV, interferon and the host response to virus infection.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Cell Line, Tumor
  • Computational Biology
  • Gene Expression Profiling*
  • Gene Expression Regulation / drug effects*
  • Hepatocytes / drug effects*
  • Hepatocytes / immunology
  • Hepatocytes / metabolism*
  • Hepatocytes / virology
  • Humans
  • Interferons / pharmacology*
  • Mass Spectrometry
  • Protein Binding
  • Proteome / genetics
  • Proteome / metabolism*
  • Proteomics*
  • Signal Transduction / drug effects
  • Software
  • Substrate Specificity
  • Systems Biology
  • Viruses / immunology

Substances

  • Proteome
  • Interferons