تقرير
Single-cell analysis of upper airway cells reveals host-viral dynamics in influenza infected adults [preprint]
| العنوان: | Single-cell analysis of upper airway cells reveals host-viral dynamics in influenza infected adults [preprint] |
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| المؤلفون: | Cao, Yuming, Guo, Zhiru, Vangala, Pranitha, Donnard, Elisa, Liu, Ping, McDonel, Patrick, Ordovas Montanes, Jose, Shalek, Alex K., Finberg, Robert W., Wang, Jennifer P., Garber, Manuel |
| المساهمون: | Program in Molecular Medicine, Department of Medicine, Division of Infectious Diseases and Immunology, Program in Bioinformatics and Integrative Biology, Graduate School of Biomedical Sciences |
| المصدر: | bioRxiv |
| سنة النشر: | 2022 |
| المجموعة: | University of Massachusetts, Medical School: eScholarship@UMMS |
| مصطلحات موضوعية: | Genomics, influenza virus infection, virus-host interactions, RNA sequencing, goblet cell population, viral variation, Bioinformatics, Computational Biology, Immunology and Infectious Disease, Infectious Disease, Respiratory Tract Diseases, Virology, Virus Diseases |
| الوصف: | Influenza virus infections are major causes of morbidity and mortality. Research using cultured cells, bulk tissue, and animal models cannot fully capture human disease dynamics. Many aspects of virus-host interactions in a natural setting remain unclear, including the specific cell types that are infected and how they and neighboring bystander cells contribute to the overall antiviral response. To address these questions, we performed single-cell RNA sequencing (scRNA-Seq) on cells from freshly collected nasal washes from healthy human donors and donors diagnosed with acute influenza during the 2017-18 season. We describe a previously uncharacterized goblet cell population, specific to infected individuals, with high expression of MHC class II genes. Furthermore, leveraging scRNA-Seq reads, we obtained deep viral genome coverage and developed a model to rigorously identify infected cells that detected influenza infection in all epithelial cell types and even some immune cells. Our data revealed that each donor was infected by a unique influenza variant and that each variant was separated by at least one unique non-synonymous difference. Our results demonstrate the power of massively-parallel scRNA-Seq to study viral variation, as well as host and viral transcriptional activity during human infection. |
| نوع الوثيقة: | report |
| اللغة: | English |
| تدمد: | 17499577 |
| العلاقة: | bioRxiv 2020.04.15.042978; doi: https://doi.org/10.1101/2020.04.15.042978Test. Link to preprint on bioRxiv service; http://hdl.handle.net/20.500.14038/29451Test; https://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=2686&context=faculty_pubs&unstamped=1Test; https://escholarship.umassmed.edu/faculty_pubs/1676Test; faculty_pubs/1676 |
| DOI: | 10.1101/2020.04.15.042978 |
| الإتاحة: | https://doi.org/10.1101/2020.04.15.042978Test https://doi.org/20.500.14038/29451Test https://hdl.handle.net/20.500.14038/29451Test https://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=2686&context=faculty_pubs&unstamped=1Test https://escholarship.umassmed.edu/faculty_pubs/1676Test |
| حقوق: | The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It is made available under a CC-BY-ND 4.0 International license. ; http://creativecommons.org/licenses/by-nd/4.0Test/ |
| رقم الانضمام: | edsbas.9C74B69A |
| قاعدة البيانات: | BASE |
| تدمد: | 17499577 |
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| DOI: | 10.1101/2020.04.15.042978 |