2022
DOI: 10.3389/fcimb.2022.841447
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Human Organotypic Airway and Lung Organoid Cells of Bronchiolar and Alveolar Differentiation Are Permissive to Infection by Influenza and SARS-CoV-2 Respiratory Virus

Abstract: The ongoing coronavirus disease 2019 (COVID-19) pandemic has led to the initiation of unprecedented research efforts to understand the pathogenesis mediated by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). More knowledge is needed regarding the cell type-specific cytopathology and its impact on cellular tropism. Furthermore, the impact of novel SARS-CoV-2 mutations on cellular tropism, alternative routes of entry, the impact of co-infections, and virus replication kinetics along the respiratory… Show more

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Cited by 19 publications
(16 citation statements)
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“…These models have been suggested as a prominent platform to gain a fundamental understanding of viral infections such as COVID-19 ( Basanthakumar, 2021 ; de Melo et al, 2021 ; Deguchi et al, 2021 ; Harb et al, 2022 ; Kronemberger et al, 2021 ; Lv et al, 2021 ; Ramani et al, 2021 ; Sia et al, 2022 ; Sourimant et al, 2022 ; van der Vaart et al, 2021 ; Wang et al; Yu, 2021 ; Zech et al, 2021 ) and could be a good alternative to facilitate the development and discovery of new therapeutics and vaccines ( Clevers, 2020 ; Raimondi et al, 2020 ). To date, various types of organoid-enabled 3D models have been employed to study and understand SARS-CoV-2 infection such as the brain organoid ( Ramani et al, 2020 ), lung organoid ( Ekanger et al, 2022 ; Salahudeen et al, 2020 ; van der Vaart et al, 2021 ; Wang et al, 2021a ), intestine organoid ( Dickson, 2020 ), as well as liver ductal organoid and bile duct organoid ( Zhao et al, 2020a ) ( Fig. 3 ).…”
Section: In Vitro Tissue Models and Technologies For Covid-1...mentioning
confidence: 99%
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“…These models have been suggested as a prominent platform to gain a fundamental understanding of viral infections such as COVID-19 ( Basanthakumar, 2021 ; de Melo et al, 2021 ; Deguchi et al, 2021 ; Harb et al, 2022 ; Kronemberger et al, 2021 ; Lv et al, 2021 ; Ramani et al, 2021 ; Sia et al, 2022 ; Sourimant et al, 2022 ; van der Vaart et al, 2021 ; Wang et al; Yu, 2021 ; Zech et al, 2021 ) and could be a good alternative to facilitate the development and discovery of new therapeutics and vaccines ( Clevers, 2020 ; Raimondi et al, 2020 ). To date, various types of organoid-enabled 3D models have been employed to study and understand SARS-CoV-2 infection such as the brain organoid ( Ramani et al, 2020 ), lung organoid ( Ekanger et al, 2022 ; Salahudeen et al, 2020 ; van der Vaart et al, 2021 ; Wang et al, 2021a ), intestine organoid ( Dickson, 2020 ), as well as liver ductal organoid and bile duct organoid ( Zhao et al, 2020a ) ( Fig. 3 ).…”
Section: In Vitro Tissue Models and Technologies For Covid-1...mentioning
confidence: 99%
“…Scale bars are 100 μm. Reproduced with permission ( Ekanger et al, 2022 ). Copyright 2022, Frontiers Media S.A., Ekanger et al, Licensed under A Creative Commons Attribution License (CC BY).…”
Section: In Vitro Tissue Models and Technologies For Covid-1...mentioning
confidence: 99%
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“…These undifferentiated HAOs are tractable and easy to work with, while not being cancerously transformed and maintaining cellular diversity that resembles the airway epithelium. The undifferentiated organoid model has been used to study respiratory syncytial virus 17 and SARS-CoV-2 6 , 18 , 19 . However, work with the latter is plagued with variable, donor-dependent infection rates where most organoids carry less than 5% infected cells 18 , 19 , a major obstacle for further analysis (i.e., single-cell genomics).…”
Section: Introductionmentioning
confidence: 99%
“…The undifferentiated organoid model has been used to study respiratory syncytial virus 17 and SARS-CoV-2 6 , 18 , 19 . However, work with the latter is plagued with variable, donor-dependent infection rates where most organoids carry less than 5% infected cells 18 , 19 , a major obstacle for further analysis (i.e., single-cell genomics).…”
Section: Introductionmentioning
confidence: 99%