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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2004
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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. |
format | Text |
id | pubmed-507879 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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