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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| Main Authors: | , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
Version 2
August 11, 2023
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| In: |
PLoS Computational Biology
Year: 2023, Volume: 19, Issue: 8, Pages: 1-26 |
| ISSN: | 1553-7358 |
| DOI: | 10.1371/journal.pcbi.1011356 |
| Online Access: | 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 
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| Author Notes: | Benjamin Raach, Nils Bundgaard, Marika J. Haase, Jörn Starruß, Rocio Sotillo, Megan L. Stanifer, Frederik Graw |
MARC
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| 520 | |a 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. ... | ||
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| 650 | 4 | |a Cell differentiation | |
| 650 | 4 | |a Epithelium | |
| 650 | 4 | |a Regeneration | |
| 650 | 4 | |a Respiratory infections | |
| 650 | 4 | |a SARS CoV 2 | |
| 650 | 4 | |a Viral load | |
| 650 | 4 | |a Viral transmission and infection | |
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