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

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 inh...

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Autores principales: Yan, Wei, Lee, Hookeun, Yi, Eugene C, Reiss, David, Shannon, Paul, Kwieciszewski, Bartlomiej K, Coito, Carlos, Li, Xiao-jun, Keller, Andrew, Eng, Jimmy, Galitski, Timothy, Goodlett, David R, Aebersold, Ruedi, Katze, Michael G
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC507879/
https://www.ncbi.nlm.nih.gov/pubmed/15287976
http://dx.doi.org/10.1186/gb-2004-5-8-r54
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author Yan, Wei
Lee, Hookeun
Yi, Eugene C
Reiss, David
Shannon, Paul
Kwieciszewski, Bartlomiej K
Coito, Carlos
Li, Xiao-jun
Keller, Andrew
Eng, Jimmy
Galitski, Timothy
Goodlett, David R
Aebersold, Ruedi
Katze, Michael G
author_facet Yan, Wei
Lee, Hookeun
Yi, Eugene C
Reiss, David
Shannon, Paul
Kwieciszewski, Bartlomiej K
Coito, Carlos
Li, Xiao-jun
Keller, Andrew
Eng, Jimmy
Galitski, Timothy
Goodlett, David R
Aebersold, Ruedi
Katze, Michael G
author_sort Yan, Wei
collection PubMed
description 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.
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spelling pubmed-5078792004-08-10 System-based proteomic analysis of the interferon response in human liver cells Yan, Wei Lee, Hookeun Yi, Eugene C Reiss, David Shannon, Paul Kwieciszewski, Bartlomiej K Coito, Carlos Li, Xiao-jun Keller, Andrew Eng, Jimmy Galitski, Timothy Goodlett, David R Aebersold, Ruedi Katze, Michael G Genome Biol Research 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. BioMed Central 2004 2004-07-22 /pmc/articles/PMC507879/ /pubmed/15287976 http://dx.doi.org/10.1186/gb-2004-5-8-r54 Text en Copyright © 2004 Yan et al.; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Research
Yan, Wei
Lee, Hookeun
Yi, Eugene C
Reiss, David
Shannon, Paul
Kwieciszewski, Bartlomiej K
Coito, Carlos
Li, Xiao-jun
Keller, Andrew
Eng, Jimmy
Galitski, Timothy
Goodlett, David R
Aebersold, Ruedi
Katze, Michael G
System-based proteomic analysis of the interferon response in human liver cells
title System-based proteomic analysis of the interferon response in human liver cells
title_full System-based proteomic analysis of the interferon response in human liver cells
title_fullStr System-based proteomic analysis of the interferon response in human liver cells
title_full_unstemmed System-based proteomic analysis of the interferon response in human liver cells
title_short System-based proteomic analysis of the interferon response in human liver cells
title_sort system-based proteomic analysis of the interferon response in human liver cells
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC507879/
https://www.ncbi.nlm.nih.gov/pubmed/15287976
http://dx.doi.org/10.1186/gb-2004-5-8-r54
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