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Baseline T cell immune phenotypes predict virologic and disease control upon SARS-CoV infection

Jessica B. Graham, Jessica L. Swarts, Sarah R. Leist, Alexandra Schäfer, Vineet D. Menachery, Lisa E. Gralinski, Sophia Jeng, Darla R. Miller, Michael A. Mooney, Shannon K. McWeeney, Martin T. Ferris, Fernando Pardo-Manuel de Villena, Mark T. Heise, Ralph S. Baric, View ORCID ProfileJennifer M. Lund
doi: https://doi.org/10.1101/2020.09.21.306837
Jessica B. Graham
1Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA
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Jessica L. Swarts
1Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA
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Sarah R. Leist
2Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Alexandra Schäfer
2Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Vineet D. Menachery
2Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
3Department of Microbiology and Immunology, University of Texas Medical Center, Galveston, TX
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Lisa E. Gralinski
2Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Sophia Jeng
4OHSU Knight Cancer Institute, Oregon Health & Science University, Portland, OR
5Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR
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Darla R. Miller
6Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
7Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Michael A. Mooney
5Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR
8Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR
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Shannon K. McWeeney
4OHSU Knight Cancer Institute, Oregon Health & Science University, Portland, OR
5Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR
8Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR
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Martin T. Ferris
6Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Fernando Pardo-Manuel de Villena
6Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
7Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Mark T. Heise
6Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
7Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Ralph S. Baric
2Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Jennifer M. Lund
1Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA
9Department of Global Health, University of Washington, Seattle, WA
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  • ORCID record for Jennifer M. Lund
  • For correspondence: jlund@fredhutch.org
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Posted September 21, 2020.
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Baseline T cell immune phenotypes predict virologic and disease control upon SARS-CoV infection
Jessica B. Graham, Jessica L. Swarts, Sarah R. Leist, Alexandra Schäfer, Vineet D. Menachery, Lisa E. Gralinski, Sophia Jeng, Darla R. Miller, Michael A. Mooney, Shannon K. McWeeney, Martin T. Ferris, Fernando Pardo-Manuel de Villena, Mark T. Heise, Ralph S. Baric, Jennifer M. Lund
bioRxiv 2020.09.21.306837; doi: https://doi.org/10.1101/2020.09.21.306837
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Baseline T cell immune phenotypes predict virologic and disease control upon SARS-CoV infection
Jessica B. Graham, Jessica L. Swarts, Sarah R. Leist, Alexandra Schäfer, Vineet D. Menachery, Lisa E. Gralinski, Sophia Jeng, Darla R. Miller, Michael A. Mooney, Shannon K. McWeeney, Martin T. Ferris, Fernando Pardo-Manuel de Villena, Mark T. Heise, Ralph S. Baric, Jennifer M. Lund
bioRxiv 2020.09.21.306837; doi: https://doi.org/10.1101/2020.09.21.306837

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