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Identifying protective host gene expression signatures within the spleen during West Nile virus infection in the collaborative cross model
Flaviviruses are hematophagous arthropod-viruses that pose global challenges to human health. Like Zika virus, West Nile Virus (WNV) is a flavivirus for which no approved vaccine exists [1]. The role host genetics play in early detection and response to WNV still remains largely unexplained. In orde...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5097955/ https://www.ncbi.nlm.nih.gov/pubmed/27843766 http://dx.doi.org/10.1016/j.gdata.2016.10.006 |
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author | Green, Richard Wilkins, Courtney Thomas, Sunil Sekine, Aimee Ireton, Renee C. Ferris, Martin T. Hendrick, Duncan M. Voss, Kathleen de Villena, Fernando Pardo-Manuel Baric, Ralph Heise, Mark Gale, Michael |
author_facet | Green, Richard Wilkins, Courtney Thomas, Sunil Sekine, Aimee Ireton, Renee C. Ferris, Martin T. Hendrick, Duncan M. Voss, Kathleen de Villena, Fernando Pardo-Manuel Baric, Ralph Heise, Mark Gale, Michael |
author_sort | Green, Richard |
collection | PubMed |
description | Flaviviruses are hematophagous arthropod-viruses that pose global challenges to human health. Like Zika virus, West Nile Virus (WNV) is a flavivirus for which no approved vaccine exists [1]. The role host genetics play in early detection and response to WNV still remains largely unexplained. In order to capture the impact of genetic variation on innate immune responses, we studied gene expression following WNV infection using the collaborative cross (CC). The CC is a mouse genetics resource composed of hundreds of independently bred, octo-parental recombinant inbred mouse lines [2]. To accurately capture the host immune gene expression signatures of West Nile infection, we used the nanostring platform to evaluate expression in spleen tissue isolated from CC mice infected with WNV over a time course of 4, 7, and 12 days' post-infection [3]. Nanostring is a non-amplification based digital method to quantitate gene expression that uses color-coded molecular barcodes to detect hundreds of transcripts in a sample. Using this approach, we identified unique gene signatures in spleen tissue at days 4, 7, and 12 following WNV infection, which delineated distinct differences between asymptomatic and symptomatic CC lines. We also identified novel immune genes. Data was deposited into the Gene Expression Omnibus under accession GSE86000. |
format | Online Article Text |
id | pubmed-5097955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-50979552016-11-14 Identifying protective host gene expression signatures within the spleen during West Nile virus infection in the collaborative cross model Green, Richard Wilkins, Courtney Thomas, Sunil Sekine, Aimee Ireton, Renee C. Ferris, Martin T. Hendrick, Duncan M. Voss, Kathleen de Villena, Fernando Pardo-Manuel Baric, Ralph Heise, Mark Gale, Michael Genom Data Data in Brief Flaviviruses are hematophagous arthropod-viruses that pose global challenges to human health. Like Zika virus, West Nile Virus (WNV) is a flavivirus for which no approved vaccine exists [1]. The role host genetics play in early detection and response to WNV still remains largely unexplained. In order to capture the impact of genetic variation on innate immune responses, we studied gene expression following WNV infection using the collaborative cross (CC). The CC is a mouse genetics resource composed of hundreds of independently bred, octo-parental recombinant inbred mouse lines [2]. To accurately capture the host immune gene expression signatures of West Nile infection, we used the nanostring platform to evaluate expression in spleen tissue isolated from CC mice infected with WNV over a time course of 4, 7, and 12 days' post-infection [3]. Nanostring is a non-amplification based digital method to quantitate gene expression that uses color-coded molecular barcodes to detect hundreds of transcripts in a sample. Using this approach, we identified unique gene signatures in spleen tissue at days 4, 7, and 12 following WNV infection, which delineated distinct differences between asymptomatic and symptomatic CC lines. We also identified novel immune genes. Data was deposited into the Gene Expression Omnibus under accession GSE86000. Elsevier 2016-10-14 /pmc/articles/PMC5097955/ /pubmed/27843766 http://dx.doi.org/10.1016/j.gdata.2016.10.006 Text en http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data in Brief Green, Richard Wilkins, Courtney Thomas, Sunil Sekine, Aimee Ireton, Renee C. Ferris, Martin T. Hendrick, Duncan M. Voss, Kathleen de Villena, Fernando Pardo-Manuel Baric, Ralph Heise, Mark Gale, Michael Identifying protective host gene expression signatures within the spleen during West Nile virus infection in the collaborative cross model |
title | Identifying protective host gene expression signatures within the spleen during West Nile virus infection in the collaborative cross model |
title_full | Identifying protective host gene expression signatures within the spleen during West Nile virus infection in the collaborative cross model |
title_fullStr | Identifying protective host gene expression signatures within the spleen during West Nile virus infection in the collaborative cross model |
title_full_unstemmed | Identifying protective host gene expression signatures within the spleen during West Nile virus infection in the collaborative cross model |
title_short | Identifying protective host gene expression signatures within the spleen during West Nile virus infection in the collaborative cross model |
title_sort | identifying protective host gene expression signatures within the spleen during west nile virus infection in the collaborative cross model |
topic | Data in Brief |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5097955/ https://www.ncbi.nlm.nih.gov/pubmed/27843766 http://dx.doi.org/10.1016/j.gdata.2016.10.006 |
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