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DenHunt - A Comprehensive Database of the Intricate Network of Dengue-Human Interactions
Dengue virus (DENV) is a human pathogen and its etiology has been widely established. There are many interactions between DENV and human proteins that have been reported in literature. However, no publicly accessible resource for efficiently retrieving the information is yet available. In this study...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5019383/ https://www.ncbi.nlm.nih.gov/pubmed/27618709 http://dx.doi.org/10.1371/journal.pntd.0004965 |
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author | Karyala, Prashanthi Metri, Rahul Bathula, Christopher Yelamanchi, Syam K. Sahoo, Lipika Arjunan, Selvam Sastri, Narayan P. Chandra, Nagasuma |
author_facet | Karyala, Prashanthi Metri, Rahul Bathula, Christopher Yelamanchi, Syam K. Sahoo, Lipika Arjunan, Selvam Sastri, Narayan P. Chandra, Nagasuma |
author_sort | Karyala, Prashanthi |
collection | PubMed |
description | Dengue virus (DENV) is a human pathogen and its etiology has been widely established. There are many interactions between DENV and human proteins that have been reported in literature. However, no publicly accessible resource for efficiently retrieving the information is yet available. In this study, we mined all publicly available dengue–human interactions that have been reported in the literature into a database called DenHunt. We retrieved 682 direct interactions of human proteins with dengue viral components, 382 indirect interactions and 4120 differentially expressed human genes in dengue infected cell lines and patients. We have illustrated the importance of DenHunt by mapping the dengue–human interactions on to the host interactome and observed that the virus targets multiple host functional complexes of important cellular processes such as metabolism, immune system and signaling pathways suggesting a potential role of these interactions in viral pathogenesis. We also observed that 7 percent of the dengue virus interacting human proteins are also associated with other infectious and non-infectious diseases. Finally, the understanding that comes from such analyses could be used to design better strategies to counteract the diseases caused by dengue virus. The whole dataset has been catalogued in a searchable database, called DenHunt (http://proline.biochem.iisc.ernet.in/DenHunt/). |
format | Online Article Text |
id | pubmed-5019383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50193832016-09-27 DenHunt - A Comprehensive Database of the Intricate Network of Dengue-Human Interactions Karyala, Prashanthi Metri, Rahul Bathula, Christopher Yelamanchi, Syam K. Sahoo, Lipika Arjunan, Selvam Sastri, Narayan P. Chandra, Nagasuma PLoS Negl Trop Dis Research Article Dengue virus (DENV) is a human pathogen and its etiology has been widely established. There are many interactions between DENV and human proteins that have been reported in literature. However, no publicly accessible resource for efficiently retrieving the information is yet available. In this study, we mined all publicly available dengue–human interactions that have been reported in the literature into a database called DenHunt. We retrieved 682 direct interactions of human proteins with dengue viral components, 382 indirect interactions and 4120 differentially expressed human genes in dengue infected cell lines and patients. We have illustrated the importance of DenHunt by mapping the dengue–human interactions on to the host interactome and observed that the virus targets multiple host functional complexes of important cellular processes such as metabolism, immune system and signaling pathways suggesting a potential role of these interactions in viral pathogenesis. We also observed that 7 percent of the dengue virus interacting human proteins are also associated with other infectious and non-infectious diseases. Finally, the understanding that comes from such analyses could be used to design better strategies to counteract the diseases caused by dengue virus. The whole dataset has been catalogued in a searchable database, called DenHunt (http://proline.biochem.iisc.ernet.in/DenHunt/). Public Library of Science 2016-09-12 /pmc/articles/PMC5019383/ /pubmed/27618709 http://dx.doi.org/10.1371/journal.pntd.0004965 Text en © 2016 Karyala 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Karyala, Prashanthi Metri, Rahul Bathula, Christopher Yelamanchi, Syam K. Sahoo, Lipika Arjunan, Selvam Sastri, Narayan P. Chandra, Nagasuma DenHunt - A Comprehensive Database of the Intricate Network of Dengue-Human Interactions |
title | DenHunt - A Comprehensive Database of the Intricate Network of Dengue-Human Interactions |
title_full | DenHunt - A Comprehensive Database of the Intricate Network of Dengue-Human Interactions |
title_fullStr | DenHunt - A Comprehensive Database of the Intricate Network of Dengue-Human Interactions |
title_full_unstemmed | DenHunt - A Comprehensive Database of the Intricate Network of Dengue-Human Interactions |
title_short | DenHunt - A Comprehensive Database of the Intricate Network of Dengue-Human Interactions |
title_sort | denhunt - a comprehensive database of the intricate network of dengue-human interactions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5019383/ https://www.ncbi.nlm.nih.gov/pubmed/27618709 http://dx.doi.org/10.1371/journal.pntd.0004965 |
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