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Influence of cell type specific infectivity and tissue composition on SARS-CoV-2 infection dynamics within human airway epithelium

Human airway epithelium (HAE) represents the primary site of viral infection for SARS-CoV-2. Comprising different cell populations, a lot of research has been aimed at deciphering the major cell types and infection dynamics that determine disease progression and severity. However, the cell type-spec...

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Hauptverfasser: Raach, Benjamin (VerfasserIn) , Bundgaard, Nils (VerfasserIn) , Haase, Marika J. (VerfasserIn) , Starruß, Jörn (VerfasserIn) , Sotillo, Rocio (VerfasserIn) , Stanifer, Megan (VerfasserIn) , Graw, Frederik (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: Version 2 August 11, 2023
In: PLoS Computational Biology
Year: 2023, Jahrgang: 19, Heft: 8, Pages: 1-26
ISSN:1553-7358
DOI:10.1371/journal.pcbi.1011356
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1371/journal.pcbi.1011356
Verlag, kostenfrei, Volltext: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011356
Volltext
Verfasserangaben:Benjamin Raach, Nils Bundgaard, Marika J. Haase, Jörn Starruß, Rocio Sotillo, Megan L. Stanifer, Frederik Graw
Beschreibung
Zusammenfassung:Human airway epithelium (HAE) represents the primary site of viral infection for SARS-CoV-2. Comprising different cell populations, a lot of research has been aimed at deciphering the major cell types and infection dynamics that determine disease progression and severity. However, the cell type-specific replication kinetics, as well as the contribution of cellular composition of the respiratory epithelium to infection and pathology are still not fully understood. Although experimental advances, including Air-liquid interface (ALI) cultures of reconstituted pseudostratified HAE, as well as lung organoid systems, allow the observation of infection dynamics under physiological conditions in unprecedented level of detail, disentangling and quantifying the contribution of individual processes and cells to these dynamics remains challenging. Here, we present how a combination of experimental data and mathematical modelling can be used to infer and address the influence of cell type specific infectivity and tissue composition on SARS-CoV-2 infection dynamics. ...
Beschreibung:Gesehen am 07.12.2023
Beschreibung:Online Resource
ISSN:1553-7358
DOI:10.1371/journal.pcbi.1011356

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