HCA Data Explorer

COVID-19 severity correlates with airway epithelium-immune cell interactions identified by single-cell analysis.

Updated August 30, 2022

To investigate the immune response and mechanisms associated with severe coronavirus disease 2019 (COVID-19), we performed single-cell RNA sequencing on nasopharyngeal and bronchial samples from 19 clinically well-characterized patients with moderate or critical disease and from five healthy controls. We identified airway epithelial cell types and states vulnerable to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. In patients with COVID-19, epithelial cells showed an average three-fold increase in expression of the SARS-CoV-2 entry receptor ACE2, which correlated with interferon signals by immune cells. Compared to moderate cases, critical cases exhibited stronger interactions between epithelial and immune cells, as indicated by ligand-receptor expression profiles, and activated immune cells, including inflammatory macrophages expressing CCL2, CCL3, CCL20, CXCL1, CXCL3, CXCL10, IL8, IL1B and TNF. The transcriptional differences in critical cases compared to moderate cases likely contribute to clinical observations of heightened inflammatory tissue damage, lung injury and respiratory failure. Our data suggest that pharmacologic inhibition of the CCR1 and/or CCR5 pathways might suppress immune hyperactivation in critical COVID-19.

Sven LaudiUniversity Hospital Leipzigsven.laudi@medizin.uni-leipzig.de
Irina LehmannGerman Center for Lung Research (DZL)irina.lehmann@charite.de
Christian ConradCharité - Universitätsmedizin Berlinchristian.conrad@charite.de
Leif-Erik SanderCharité - Universitätsmedizin Berlinleif-erik.sander@charite.de
Roland EilsHeidelberg University Hospital and BioQuantroland.eils@charite.de
Robert Lorenz Chua1
Soeren Lukassen1
Saskia Trump1
Bianca P Hennig1
Daniel Wendisch1
Fabian Pott2
Olivia Debnath1
Loreen Thürmann1
Florian Kurth3
Maria Theresa Völker4
Julia Kazmierski2
Bernd Timmermann5
Sven Twardziok1
Stefan Schneider1
Felix Machleidt1
Holger Müller-Redetzky1
Melanie Maier6
Alexander Krannich1
Sein Schmidt1
Felix Balzer1
Johannes Liebig1
Jennifer Loske1
Norbert Suttorp7
Jürgen Eils1
Naveed Ishaque1
Uwe Gerd Liebert6
Christof von Kalle1
Andreas Hocke1
Martin Witzenrath7
Christine Goffinet2
Christian Drosten1
Sven Laudi8
Irina Lehmann7
Christian Conrad1
Leif-Erik Sander1
Roland Eils4
1Charité - Universitätsmedizin Berlin
2Berlin Institute of Health (BIH)
3University Medical Center Hamburg-Eppendorf
4Heidelberg University Hospital and BioQuant
5Sequencing Core Facility, Max Planck Institute for Molecular Genetics, Berlin, Germany.
6Institute of Virology
7German Center for Lung Research (DZL)
8University Hospital Leipzig
Wei Kheng Teh
Enrique Sapena Ventura

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/7ac8822c-4ef0-4194-adf0-74290611b1c6

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.https://digital.bihealth.org/2.https://doi.org/10.6084/m9.figshare.12436517
EGA Accessions:

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Analysis Portals

UCSC Cell BrowserUCSC Cell Browser

Project Label

COVID-19AirwayEpitheliumImmune

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

lung

Organ Part

2 organ parts

Selected Cell Types

Unspecified

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

2 disease statuses

Development Stage

human adult stage

Library Construction Method

10x 3' v3

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

CPM_table_generation, processed_matrix_generation, raw_count_generation

File Format

3 file formats

Cell Count Estimate

160.5k

Donor Count

24
rds2 file(s)tar1 file(s)xlsx2 file(s)