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Systems biology: A tool for charting the antiviral landscape
The host antiviral programs that are initiated following viral infection form a dynamic and complex web of responses that we have collectively termed as “the antiviral landscape”. Conventional approaches to studying antiviral responses have primarily used reductionist systems to assess the function...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902762/ https://www.ncbi.nlm.nih.gov/pubmed/26795869 http://dx.doi.org/10.1016/j.virusres.2016.01.005 |
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author | Bowen, James R. Ferris, Martin T. Suthar, Mehul S. |
author_facet | Bowen, James R. Ferris, Martin T. Suthar, Mehul S. |
author_sort | Bowen, James R. |
collection | PubMed |
description | The host antiviral programs that are initiated following viral infection form a dynamic and complex web of responses that we have collectively termed as “the antiviral landscape”. Conventional approaches to studying antiviral responses have primarily used reductionist systems to assess the function of a single or a limited subset of molecules. Systems biology is a holistic approach that considers the entire system as a whole, rather than individual components or molecules. Systems biology based approaches facilitate an unbiased and comprehensive analysis of the antiviral landscape, while allowing for the discovery of emergent properties that are missed by conventional approaches. The antiviral landscape can be viewed as a hierarchy of complexity, beginning at the whole organism level and progressing downward to isolated tissues, populations of cells, and single cells. In this review, we will discuss how systems biology has been applied to better understand the antiviral landscape at each of these layers. At the organismal level, the Collaborative Cross is an invaluable genetic resource for assessing how genetic diversity influences the antiviral response. Whole tissue and isolated bulk cell transcriptomics serves as a critical tool for the comprehensive analysis of antiviral responses at both the tissue and cellular levels of complexity. Finally, new techniques in single cell analysis are emerging tools that will revolutionize our understanding of how individual cells within a bulk infected cell population contribute to the overall antiviral landscape. |
format | Online Article Text |
id | pubmed-4902762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49027622017-06-15 Systems biology: A tool for charting the antiviral landscape Bowen, James R. Ferris, Martin T. Suthar, Mehul S. Virus Res Article The host antiviral programs that are initiated following viral infection form a dynamic and complex web of responses that we have collectively termed as “the antiviral landscape”. Conventional approaches to studying antiviral responses have primarily used reductionist systems to assess the function of a single or a limited subset of molecules. Systems biology is a holistic approach that considers the entire system as a whole, rather than individual components or molecules. Systems biology based approaches facilitate an unbiased and comprehensive analysis of the antiviral landscape, while allowing for the discovery of emergent properties that are missed by conventional approaches. The antiviral landscape can be viewed as a hierarchy of complexity, beginning at the whole organism level and progressing downward to isolated tissues, populations of cells, and single cells. In this review, we will discuss how systems biology has been applied to better understand the antiviral landscape at each of these layers. At the organismal level, the Collaborative Cross is an invaluable genetic resource for assessing how genetic diversity influences the antiviral response. Whole tissue and isolated bulk cell transcriptomics serves as a critical tool for the comprehensive analysis of antiviral responses at both the tissue and cellular levels of complexity. Finally, new techniques in single cell analysis are emerging tools that will revolutionize our understanding of how individual cells within a bulk infected cell population contribute to the overall antiviral landscape. Elsevier B.V. 2016-06-15 2016-01-12 /pmc/articles/PMC4902762/ /pubmed/26795869 http://dx.doi.org/10.1016/j.virusres.2016.01.005 Text en © 2016 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Bowen, James R. Ferris, Martin T. Suthar, Mehul S. Systems biology: A tool for charting the antiviral landscape |
title | Systems biology: A tool for charting the antiviral landscape |
title_full | Systems biology: A tool for charting the antiviral landscape |
title_fullStr | Systems biology: A tool for charting the antiviral landscape |
title_full_unstemmed | Systems biology: A tool for charting the antiviral landscape |
title_short | Systems biology: A tool for charting the antiviral landscape |
title_sort | systems biology: a tool for charting the antiviral landscape |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902762/ https://www.ncbi.nlm.nih.gov/pubmed/26795869 http://dx.doi.org/10.1016/j.virusres.2016.01.005 |
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