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Extreme heterogeneity of influenza virus infection in single cells
Viral infection can dramatically alter a cell’s transcriptome. However, these changes have mostly been studied by bulk measurements on many cells. Here we use single-cell mRNA sequencing to examine the transcriptional consequences of influenza virus infection. We find extremely wide cell-to-cell var...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5826275/ https://www.ncbi.nlm.nih.gov/pubmed/29451492 http://dx.doi.org/10.7554/eLife.32303 |
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author | Russell, Alistair B Trapnell, Cole Bloom, Jesse D |
author_facet | Russell, Alistair B Trapnell, Cole Bloom, Jesse D |
author_sort | Russell, Alistair B |
collection | PubMed |
description | Viral infection can dramatically alter a cell’s transcriptome. However, these changes have mostly been studied by bulk measurements on many cells. Here we use single-cell mRNA sequencing to examine the transcriptional consequences of influenza virus infection. We find extremely wide cell-to-cell variation in the productivity of viral transcription – viral transcripts comprise less than a percent of total mRNA in many infected cells, but a few cells derive over half their mRNA from virus. Some infected cells fail to express at least one viral gene, but this gene absence only partially explains variation in viral transcriptional load. Despite variation in viral load, the relative abundances of viral mRNAs are fairly consistent across infected cells. Activation of innate immune pathways is rare, but some cellular genes co-vary in abundance with the amount of viral mRNA. Overall, our results highlight the complexity of viral infection at the level of single cells. |
format | Online Article Text |
id | pubmed-5826275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-58262752018-02-28 Extreme heterogeneity of influenza virus infection in single cells Russell, Alistair B Trapnell, Cole Bloom, Jesse D eLife Microbiology and Infectious Disease Viral infection can dramatically alter a cell’s transcriptome. However, these changes have mostly been studied by bulk measurements on many cells. Here we use single-cell mRNA sequencing to examine the transcriptional consequences of influenza virus infection. We find extremely wide cell-to-cell variation in the productivity of viral transcription – viral transcripts comprise less than a percent of total mRNA in many infected cells, but a few cells derive over half their mRNA from virus. Some infected cells fail to express at least one viral gene, but this gene absence only partially explains variation in viral transcriptional load. Despite variation in viral load, the relative abundances of viral mRNAs are fairly consistent across infected cells. Activation of innate immune pathways is rare, but some cellular genes co-vary in abundance with the amount of viral mRNA. Overall, our results highlight the complexity of viral infection at the level of single cells. eLife Sciences Publications, Ltd 2018-02-16 /pmc/articles/PMC5826275/ /pubmed/29451492 http://dx.doi.org/10.7554/eLife.32303 Text en © 2018, Russell et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Microbiology and Infectious Disease Russell, Alistair B Trapnell, Cole Bloom, Jesse D Extreme heterogeneity of influenza virus infection in single cells |
title | Extreme heterogeneity of influenza virus infection in single cells |
title_full | Extreme heterogeneity of influenza virus infection in single cells |
title_fullStr | Extreme heterogeneity of influenza virus infection in single cells |
title_full_unstemmed | Extreme heterogeneity of influenza virus infection in single cells |
title_short | Extreme heterogeneity of influenza virus infection in single cells |
title_sort | extreme heterogeneity of influenza virus infection in single cells |
topic | Microbiology and Infectious Disease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5826275/ https://www.ncbi.nlm.nih.gov/pubmed/29451492 http://dx.doi.org/10.7554/eLife.32303 |
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