Cargando…
Host Gene Expression Profiling of Dengue Virus Infection in Cell Lines and Patients
BACKGROUND: Despite the seriousness of dengue-related disease, with an estimated 50–100 million cases of dengue fever and 250,000–500,000 cases of dengue hemorrhagic fever/dengue shock syndrome each year, a clear understanding of dengue pathogenesis remains elusive. Because of the lack of a disease...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2100376/ https://www.ncbi.nlm.nih.gov/pubmed/18060089 http://dx.doi.org/10.1371/journal.pntd.0000086 |
_version_ | 1782138340758257664 |
---|---|
author | Fink, Joshua Gu, Feng Ling, Ling Tolfvenstam, Thomas Olfat, Farzad Chin, Keh Chuang Aw, Pauline George, Joshy Kuznetsov, Vladimir A. Schreiber, Mark Vasudevan, Subhash G. Hibberd, Martin L. |
author_facet | Fink, Joshua Gu, Feng Ling, Ling Tolfvenstam, Thomas Olfat, Farzad Chin, Keh Chuang Aw, Pauline George, Joshy Kuznetsov, Vladimir A. Schreiber, Mark Vasudevan, Subhash G. Hibberd, Martin L. |
author_sort | Fink, Joshua |
collection | PubMed |
description | BACKGROUND: Despite the seriousness of dengue-related disease, with an estimated 50–100 million cases of dengue fever and 250,000–500,000 cases of dengue hemorrhagic fever/dengue shock syndrome each year, a clear understanding of dengue pathogenesis remains elusive. Because of the lack of a disease model in animals and the complex immune interaction in dengue infection, the study of host response and immunopathogenesis is difficult. The development of genomics technology, microarray and high throughput quantitative PCR have allowed researchers to study gene expression changes on a much broader scale. We therefore used this approach to investigate the host response in dengue virus-infected cell lines and in patients developing dengue fever. METHODOLOGY/PRINCIPAL FINDINGS: Using microarray and high throughput quantitative PCR method to monitor the host response to dengue viral replication in cell line infection models and in dengue patient blood samples, we identified differentially expressed genes along three major pathways; NF-κB initiated immune responses, type I interferon (IFN) and the ubiquitin proteasome pathway. Among the most highly upregulated genes were the chemokines IP-10 and I-TAC, both ligands of the CXCR3 receptor. Increased expression of IP-10 and I-TAC in the peripheral blood of ten patients at the early onset of fever was confirmed by ELISA. A highly upregulated gene in the IFN pathway, viperin, was overexpressed in A549 cells resulting in a significant reduction in viral replication. The upregulation of genes in the ubiquitin-proteasome pathway prompted the testing of proteasome inhibitors MG-132 and ALLN, both of which reduced viral replication. CONCLUSION/SIGNIFICANCE: Unbiased gene expression analysis has identified new host genes associated with dengue infection, which we have validated in functional studies. We showed that some parts of the host response can be used as potential biomarkers for the disease while others can be used to control dengue viral replication, thus representing viable targets for drug therapy. |
format | Text |
id | pubmed-2100376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-21003762007-12-05 Host Gene Expression Profiling of Dengue Virus Infection in Cell Lines and Patients Fink, Joshua Gu, Feng Ling, Ling Tolfvenstam, Thomas Olfat, Farzad Chin, Keh Chuang Aw, Pauline George, Joshy Kuznetsov, Vladimir A. Schreiber, Mark Vasudevan, Subhash G. Hibberd, Martin L. PLoS Negl Trop Dis Research Article BACKGROUND: Despite the seriousness of dengue-related disease, with an estimated 50–100 million cases of dengue fever and 250,000–500,000 cases of dengue hemorrhagic fever/dengue shock syndrome each year, a clear understanding of dengue pathogenesis remains elusive. Because of the lack of a disease model in animals and the complex immune interaction in dengue infection, the study of host response and immunopathogenesis is difficult. The development of genomics technology, microarray and high throughput quantitative PCR have allowed researchers to study gene expression changes on a much broader scale. We therefore used this approach to investigate the host response in dengue virus-infected cell lines and in patients developing dengue fever. METHODOLOGY/PRINCIPAL FINDINGS: Using microarray and high throughput quantitative PCR method to monitor the host response to dengue viral replication in cell line infection models and in dengue patient blood samples, we identified differentially expressed genes along three major pathways; NF-κB initiated immune responses, type I interferon (IFN) and the ubiquitin proteasome pathway. Among the most highly upregulated genes were the chemokines IP-10 and I-TAC, both ligands of the CXCR3 receptor. Increased expression of IP-10 and I-TAC in the peripheral blood of ten patients at the early onset of fever was confirmed by ELISA. A highly upregulated gene in the IFN pathway, viperin, was overexpressed in A549 cells resulting in a significant reduction in viral replication. The upregulation of genes in the ubiquitin-proteasome pathway prompted the testing of proteasome inhibitors MG-132 and ALLN, both of which reduced viral replication. CONCLUSION/SIGNIFICANCE: Unbiased gene expression analysis has identified new host genes associated with dengue infection, which we have validated in functional studies. We showed that some parts of the host response can be used as potential biomarkers for the disease while others can be used to control dengue viral replication, thus representing viable targets for drug therapy. Public Library of Science 2007-11-21 /pmc/articles/PMC2100376/ /pubmed/18060089 http://dx.doi.org/10.1371/journal.pntd.0000086 Text en Fink et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Fink, Joshua Gu, Feng Ling, Ling Tolfvenstam, Thomas Olfat, Farzad Chin, Keh Chuang Aw, Pauline George, Joshy Kuznetsov, Vladimir A. Schreiber, Mark Vasudevan, Subhash G. Hibberd, Martin L. Host Gene Expression Profiling of Dengue Virus Infection in Cell Lines and Patients |
title | Host Gene Expression Profiling of Dengue Virus Infection in Cell Lines and Patients |
title_full | Host Gene Expression Profiling of Dengue Virus Infection in Cell Lines and Patients |
title_fullStr | Host Gene Expression Profiling of Dengue Virus Infection in Cell Lines and Patients |
title_full_unstemmed | Host Gene Expression Profiling of Dengue Virus Infection in Cell Lines and Patients |
title_short | Host Gene Expression Profiling of Dengue Virus Infection in Cell Lines and Patients |
title_sort | host gene expression profiling of dengue virus infection in cell lines and patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2100376/ https://www.ncbi.nlm.nih.gov/pubmed/18060089 http://dx.doi.org/10.1371/journal.pntd.0000086 |
work_keys_str_mv | AT finkjoshua hostgeneexpressionprofilingofdenguevirusinfectionincelllinesandpatients AT gufeng hostgeneexpressionprofilingofdenguevirusinfectionincelllinesandpatients AT lingling hostgeneexpressionprofilingofdenguevirusinfectionincelllinesandpatients AT tolfvenstamthomas hostgeneexpressionprofilingofdenguevirusinfectionincelllinesandpatients AT olfatfarzad hostgeneexpressionprofilingofdenguevirusinfectionincelllinesandpatients AT chinkehchuang hostgeneexpressionprofilingofdenguevirusinfectionincelllinesandpatients AT awpauline hostgeneexpressionprofilingofdenguevirusinfectionincelllinesandpatients AT georgejoshy hostgeneexpressionprofilingofdenguevirusinfectionincelllinesandpatients AT kuznetsovvladimira hostgeneexpressionprofilingofdenguevirusinfectionincelllinesandpatients AT schreibermark hostgeneexpressionprofilingofdenguevirusinfectionincelllinesandpatients AT vasudevansubhashg hostgeneexpressionprofilingofdenguevirusinfectionincelllinesandpatients AT hibberdmartinl hostgeneexpressionprofilingofdenguevirusinfectionincelllinesandpatients |