Adult stem cell-derived complete lung organoid models emulate lung disease in COVID-19
Abstract
Background: SARS-CoV-2, the virus responsible for COVID-19, causes widespread damage in the lungs in the setting of an overzealous immune response whose origin remains unclear.
Method: We present a scalable, propagable, personalized, cost-effective adult stem cell-derived human lung organoid model that is complete with both proximal and distal airway epithelia. Monolayers derived from adult lung organoids (ALOs), primary airway cells, or hiPSC-derived alveolar type-II (AT2) pneumocytes were infected with SARS-CoV-2 to create in vitro lung models of COVID-19.
Results: Infected ALO-monolayers best recapitulated the transcriptomic signatures in diverse cohorts of COVID-19 patient-derived respiratory samples. The airway (proximal) cells were critical for sustained viral infection, whereas distal alveolar differentiation (AT2→AT1) was critical for mounting the overzealous host immune response in fatal disease; ALO monolayers with well-mixed proximodistal airway components recapitulated both.
Conclusions: Findings validate a human lung model of COVID-19, which can be immediately utilized to investigate COVID-19 pathogenesis and vet new therapies and vaccines.
Funding: This work was supported by the National Institutes for Health (NIH) grants 1R01DK107585-01A1, 3R01DK107585-05S1 (to SD); R01-AI141630, CA100768 and CA160911 (to PG) and R01-AI 155696 (to PG, DS and SD); R00-CA151673 and R01-GM138385 (to DS), R01- HL32225 (to PT), UCOP-R00RG2642 (to SD and PG), UCOP-R01RG3780 (to P.G. and D.S) and a pilot award from the Sanford Stem Cell Clinical Center at UC San Diego Health (P.G, S.D, D.S). GDK was supported through The American Association of Immunologists Intersect Fellowship Program for Computational Scientists and Immunologists. L.C.A's salary was supported in part by the VA San Diego Healthcare System. This manuscript includes data generated at the UC San Diego Institute of Genomic Medicine (IGC) using an Illumina NovaSeq 6000 that was purchased with funding from a National Institutes of Health SIG grant (#S10 OD026929).
Data availability
Sequencing data have been deposited in GEO under accession codes GSE157055, and GSE157057.We have added the Data availability section in the main manuscript.
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Human lung organoid for modeling infection and disease conditionsNCBI Gene Expression Omnibus, GSE157057.
Article and author information
Author details
Funding
National Institute of Diabetes and Digestive and Kidney Diseases (3R01DK107585-05S1)
- Soumita Das
University of California, San Diego (UCOP-R00RG2642)
- Pradipta Ghosh
- Soumita Das
National Institute of Diabetes and Digestive and Kidney Diseases (1R01DK107585-01A1)
- Soumita Das
National Institute of Allergy and Infectious Diseases (R01-AI 155696)
- Debashis Sahoo
- Pradipta Ghosh
- Soumita Das
National Institute of Allergy and Infectious Diseases (R01-AI141630)
- Pradipta Ghosh
National Cancer Institute (CA100768)
- Pradipta Ghosh
National Cancer Institute (CA160911)
- Pradipta Ghosh
National Institute of General Medical Sciences (R01-GM138385)
- Debashis Sahoo
National Heart, Lung, and Blood Institute (R01- HL32225)
- Patricia A Thistlethwaite
University of California, San Diego (UCOP-R01RG3780)
- Debashis Sahoo
- Pradipta Ghosh
- Soumita Das
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Reviewing Editor
- Milica Radisic, University of Toronto, Canada
Ethics
Human subjects: Deidentified lung tissues obtained during surgical resection, that were deemed excess by clinical pathologists, were collected using an approved human research protocol (IRB# 101590; PI: Thistlethwaite). Isolation and biobanking of organoids from these lung tissues were carried out using an approved human research protocol (IRB# 190105: PI Ghosh and Das) that covers human subject research at the UC San Diego HUMANOID Center of Research Excellence (CoRE). For all the deidentified human subjects, information including age, gender, and previous history of the disease, was collected from the chart following the rules of HIPAA and described in the Table.
Version history
- Received: January 10, 2021
- Accepted: August 11, 2021
- Accepted Manuscript published: August 13, 2021 (version 1)
- Version of Record published: September 24, 2021 (version 2)
Copyright
© 2021, Tindle et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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