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What can we learn about influenza infection and vaccination from transcriptomics?
Transcriptomics studies the set of RNA transcripts produced by the genome using high-throughput sequencing and bioinformatics. This growing field has revolutionized our understanding of host-pathogen interactions, revealing new insights into the host response to influenza infection and vaccination....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930070/ https://www.ncbi.nlm.nih.gov/pubmed/31116679 http://dx.doi.org/10.1080/21645515.2019.1608744 |
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author | Rao, Suchitra Ghosh, Debashis Asturias, Edwin J. Weinberg, Adriana |
author_facet | Rao, Suchitra Ghosh, Debashis Asturias, Edwin J. Weinberg, Adriana |
author_sort | Rao, Suchitra |
collection | PubMed |
description | Transcriptomics studies the set of RNA transcripts produced by the genome using high-throughput sequencing and bioinformatics. This growing field has revolutionized our understanding of host-pathogen interactions, revealing new insights into the host response to influenza infection and vaccination. Studies using transcriptomics have identified a unique immunosignature for influenza discernable from other bacterial and viral pathogens, key transcriptional factors that discriminate early from late, mild versus severe, and symptomatic versus asymptomatic infection. Recent studies evaluating the host response to influenza vaccines have revealed key differences in live versus inactivated influenza vaccines, identified early transcriptional signatures that predict hemagglutinin antibody production following vaccination, increased our understanding of how adjuvants enhance the immune response to influenza vaccine antigens, and demonstrate biologic variability in the response to vaccination due to host factors. These studies demonstrate the potential for influenza transcriptomics to be applied to clinical care, understanding the mechanisms of infection, and informing vaccine development. |
format | Online Article Text |
id | pubmed-6930070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-69300702020-01-03 What can we learn about influenza infection and vaccination from transcriptomics? Rao, Suchitra Ghosh, Debashis Asturias, Edwin J. Weinberg, Adriana Hum Vaccin Immunother Review Transcriptomics studies the set of RNA transcripts produced by the genome using high-throughput sequencing and bioinformatics. This growing field has revolutionized our understanding of host-pathogen interactions, revealing new insights into the host response to influenza infection and vaccination. Studies using transcriptomics have identified a unique immunosignature for influenza discernable from other bacterial and viral pathogens, key transcriptional factors that discriminate early from late, mild versus severe, and symptomatic versus asymptomatic infection. Recent studies evaluating the host response to influenza vaccines have revealed key differences in live versus inactivated influenza vaccines, identified early transcriptional signatures that predict hemagglutinin antibody production following vaccination, increased our understanding of how adjuvants enhance the immune response to influenza vaccine antigens, and demonstrate biologic variability in the response to vaccination due to host factors. These studies demonstrate the potential for influenza transcriptomics to be applied to clinical care, understanding the mechanisms of infection, and informing vaccine development. Taylor & Francis 2019-05-22 /pmc/articles/PMC6930070/ /pubmed/31116679 http://dx.doi.org/10.1080/21645515.2019.1608744 Text en © 2019 The Author(s). Published with license by Taylor & Francis Group, LLC. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
spellingShingle | Review Rao, Suchitra Ghosh, Debashis Asturias, Edwin J. Weinberg, Adriana What can we learn about influenza infection and vaccination from transcriptomics? |
title | What can we learn about influenza infection and vaccination from transcriptomics? |
title_full | What can we learn about influenza infection and vaccination from transcriptomics? |
title_fullStr | What can we learn about influenza infection and vaccination from transcriptomics? |
title_full_unstemmed | What can we learn about influenza infection and vaccination from transcriptomics? |
title_short | What can we learn about influenza infection and vaccination from transcriptomics? |
title_sort | what can we learn about influenza infection and vaccination from transcriptomics? |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930070/ https://www.ncbi.nlm.nih.gov/pubmed/31116679 http://dx.doi.org/10.1080/21645515.2019.1608744 |
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