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Single cell susceptibility to SARS-CoV-2 infection is driven by variable cell states

The ability of a virus to infect a cell type is at least in part determined by the presence of host factors required for the viral life cycle. However, even within cell types that express known factors needed for infection, not every cell is equally susceptible, suggesting that our knowledge of the...

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Autores principales: Reffsin, Sam, Miller, Jesse, Ayyanathan, Kasirajan, Dunagin, Margaret C., Jain, Naveen, Schultz, David C., Cherry, Sara, Raj, Arjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10350037/
https://www.ncbi.nlm.nih.gov/pubmed/37461472
http://dx.doi.org/10.1101/2023.07.06.547955
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author Reffsin, Sam
Miller, Jesse
Ayyanathan, Kasirajan
Dunagin, Margaret C.
Jain, Naveen
Schultz, David C.
Cherry, Sara
Raj, Arjun
author_facet Reffsin, Sam
Miller, Jesse
Ayyanathan, Kasirajan
Dunagin, Margaret C.
Jain, Naveen
Schultz, David C.
Cherry, Sara
Raj, Arjun
author_sort Reffsin, Sam
collection PubMed
description The ability of a virus to infect a cell type is at least in part determined by the presence of host factors required for the viral life cycle. However, even within cell types that express known factors needed for infection, not every cell is equally susceptible, suggesting that our knowledge of the full spectrum of factors that promote infection is incomplete. Profiling the most susceptible subsets of cells within a population may reveal additional factors that promote infection. However, because viral infection dramatically alters the state of the cell, new approaches are needed to reveal the state of these cells prior to infection with virus. Here, we used single-cell clone tracing to retrospectively identify and characterize lung epithelial cells that are highly susceptible to infection with SARS-CoV-2. The transcriptional state of these highly susceptible cells includes markers of retinoic acid signaling and epithelial differentiation. Loss of candidate factors identified by our approach revealed that many of these factors play roles in viral entry. Moreover, a subset of these factors exert control over the infectable cell state itself, regulating the expression of key factors associated with viral infection and entry. Analysis of patient samples revealed the heterogeneous expression of these factors across both cells and patients in vivo. Further, the expression of these factors is upregulated in particular inflammatory pathologies. Altogether, our results show that the variable expression of intrinsic cell states is a major determinant of whether a cell can be infected by SARS-CoV-2.
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spelling pubmed-103500372023-07-17 Single cell susceptibility to SARS-CoV-2 infection is driven by variable cell states Reffsin, Sam Miller, Jesse Ayyanathan, Kasirajan Dunagin, Margaret C. Jain, Naveen Schultz, David C. Cherry, Sara Raj, Arjun bioRxiv Article The ability of a virus to infect a cell type is at least in part determined by the presence of host factors required for the viral life cycle. However, even within cell types that express known factors needed for infection, not every cell is equally susceptible, suggesting that our knowledge of the full spectrum of factors that promote infection is incomplete. Profiling the most susceptible subsets of cells within a population may reveal additional factors that promote infection. However, because viral infection dramatically alters the state of the cell, new approaches are needed to reveal the state of these cells prior to infection with virus. Here, we used single-cell clone tracing to retrospectively identify and characterize lung epithelial cells that are highly susceptible to infection with SARS-CoV-2. The transcriptional state of these highly susceptible cells includes markers of retinoic acid signaling and epithelial differentiation. Loss of candidate factors identified by our approach revealed that many of these factors play roles in viral entry. Moreover, a subset of these factors exert control over the infectable cell state itself, regulating the expression of key factors associated with viral infection and entry. Analysis of patient samples revealed the heterogeneous expression of these factors across both cells and patients in vivo. Further, the expression of these factors is upregulated in particular inflammatory pathologies. Altogether, our results show that the variable expression of intrinsic cell states is a major determinant of whether a cell can be infected by SARS-CoV-2. Cold Spring Harbor Laboratory 2023-07-07 /pmc/articles/PMC10350037/ /pubmed/37461472 http://dx.doi.org/10.1101/2023.07.06.547955 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Reffsin, Sam
Miller, Jesse
Ayyanathan, Kasirajan
Dunagin, Margaret C.
Jain, Naveen
Schultz, David C.
Cherry, Sara
Raj, Arjun
Single cell susceptibility to SARS-CoV-2 infection is driven by variable cell states
title Single cell susceptibility to SARS-CoV-2 infection is driven by variable cell states
title_full Single cell susceptibility to SARS-CoV-2 infection is driven by variable cell states
title_fullStr Single cell susceptibility to SARS-CoV-2 infection is driven by variable cell states
title_full_unstemmed Single cell susceptibility to SARS-CoV-2 infection is driven by variable cell states
title_short Single cell susceptibility to SARS-CoV-2 infection is driven by variable cell states
title_sort single cell susceptibility to sars-cov-2 infection is driven by variable cell states
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10350037/
https://www.ncbi.nlm.nih.gov/pubmed/37461472
http://dx.doi.org/10.1101/2023.07.06.547955
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