Cellular state landscape and herpes simplex virus type 1 infection progression are connected
Abstract Prediction, prevention and treatment of virus infections require understanding of cell-to-cell variability that leads to heterogenous disease outcomes, but the source of this heterogeneity has yet to be clarified. To study the multimodal response of single human cells to herpes simplex viru...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-07-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-40148-6 |
| _version_ | 1797769430844833792 |
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| author | Maija K. Pietilä Jana J. Bachmann Janne Ravantti Lucas Pelkmans Cornel Fraefel |
| author_facet | Maija K. Pietilä Jana J. Bachmann Janne Ravantti Lucas Pelkmans Cornel Fraefel |
| author_sort | Maija K. Pietilä |
| collection | DOAJ |
| description | Abstract Prediction, prevention and treatment of virus infections require understanding of cell-to-cell variability that leads to heterogenous disease outcomes, but the source of this heterogeneity has yet to be clarified. To study the multimodal response of single human cells to herpes simplex virus type 1 (HSV-1) infection, we mapped high-dimensional viral and cellular state spaces throughout the infection using multiplexed imaging and quantitative single-cell measurements of viral and cellular mRNAs and proteins. Here we show that the high-dimensional cellular state scape can predict heterogenous infections, and cells move through the cellular state landscape according to infection progression. Spatial information reveals that infection changes the cellular state of both infected cells and of their neighbors. The multiplexed imaging of HSV-1-induced cellular modifications links infection progression to changes in signaling responses, transcriptional activity, and processing bodies. Our data show that multiplexed quantification of responses at the single-cell level, across thousands of cells helps predict infections and identify new targets for antivirals. |
| first_indexed | 2024-03-12T21:07:56Z |
| format | Article |
| id | doaj.art-52f9a97fca50424ab7fd6e2d51df7975 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-12T21:07:56Z |
| publishDate | 2023-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-52f9a97fca50424ab7fd6e2d51df79752023-07-30T11:20:19ZengNature PortfolioNature Communications2041-17232023-07-0114112010.1038/s41467-023-40148-6Cellular state landscape and herpes simplex virus type 1 infection progression are connectedMaija K. Pietilä0Jana J. Bachmann1Janne Ravantti2Lucas Pelkmans3Cornel Fraefel4Institute of Virology, University of ZurichInstitute of Virology, University of ZurichMolecular and Integrative Biosciences Research Programme, University of HelsinkiDepartment of Molecular Life Sciences, University of ZurichInstitute of Virology, University of ZurichAbstract Prediction, prevention and treatment of virus infections require understanding of cell-to-cell variability that leads to heterogenous disease outcomes, but the source of this heterogeneity has yet to be clarified. To study the multimodal response of single human cells to herpes simplex virus type 1 (HSV-1) infection, we mapped high-dimensional viral and cellular state spaces throughout the infection using multiplexed imaging and quantitative single-cell measurements of viral and cellular mRNAs and proteins. Here we show that the high-dimensional cellular state scape can predict heterogenous infections, and cells move through the cellular state landscape according to infection progression. Spatial information reveals that infection changes the cellular state of both infected cells and of their neighbors. The multiplexed imaging of HSV-1-induced cellular modifications links infection progression to changes in signaling responses, transcriptional activity, and processing bodies. Our data show that multiplexed quantification of responses at the single-cell level, across thousands of cells helps predict infections and identify new targets for antivirals.https://doi.org/10.1038/s41467-023-40148-6 |
| spellingShingle | Maija K. Pietilä Jana J. Bachmann Janne Ravantti Lucas Pelkmans Cornel Fraefel Cellular state landscape and herpes simplex virus type 1 infection progression are connected Nature Communications |
| title | Cellular state landscape and herpes simplex virus type 1 infection progression are connected |
| title_full | Cellular state landscape and herpes simplex virus type 1 infection progression are connected |
| title_fullStr | Cellular state landscape and herpes simplex virus type 1 infection progression are connected |
| title_full_unstemmed | Cellular state landscape and herpes simplex virus type 1 infection progression are connected |
| title_short | Cellular state landscape and herpes simplex virus type 1 infection progression are connected |
| title_sort | cellular state landscape and herpes simplex virus type 1 infection progression are connected |
| url | https://doi.org/10.1038/s41467-023-40148-6 |
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