HCA Data Explorer

SARS-CoV-2 receptor ACE2 is an interferon-stimulated gene in human airway epithelial cells and is detected in specific cell subsets across tissues.

Updated June 16, 2022

There is pressing urgency to understand the pathogenesis of the severe acute respiratory syndrome coronavirus clade 2 (SARS-CoV-2) which causes the disease COVID-19. SARS-CoV-2 spike (S)-protein binds ACE2, and in concert with host proteases, principally TMPRSS2, promotes cellular entry. The cell subsets targeted by SARS-CoV-2 in host tissues, and the factors that regulate ACE2 expression, remain unknown. Here, we leverage human and mouse single-cell RNA-sequencing (scRNA-seq) datasets across health and disease to uncover putative targets of SARS-CoV-2 amongst tissue-resident cell subsets. Overall design: Samples from 8 datasets are included: single-cell RNA-Seq studies: 2 human adult donors of inferior turbinate scrapings with two replicates each. Four mouse donors of nasal epithelial cells, two stimulated with IFNA and two controls with two replicates from each animal. 13 human ileal small intestine donors. 8 human lung tissue donors with mTB infection, mTB infection and HIV, or no mTB infection. Bulk RNA-seq samples: Two human donors stimulated with three replicates of each stimulation with IFNA, IFNG, IL17A, or IL4, each at increasing doses (0, 0.1 ,0.5, 1, 2, 5, 10 ng/mL) and 12 replicates of unstimulated samples. One mouse donor of cells from the trachea with three replicates of each stimulation with IFNA, IFNB, or IFNG, each at increasing doses (0, 0.1 ,0.5, 1, 2, 5, 10 ng/mL) and 12 replicates of unstimulated samples. One human cell line stimulated with three replicates of each stimulation with IFNA, IFNG, IL17A, or IL4, each at increasing doses (0, 0.1 ,0.5, 1, 2, 5, 10 ng/mL) and 12 replicates of unstimulated samples.

Alex K ShalekHarvard Medical School & Massachusetts Institute of Technologyshalek@mit.edu
Jose Ordovas-MontanesBroad Institute of MIT and Harvardmontanes@childrens.harvard.edu
Carly GK Ziegler1
Samuel J Allon2
Sarah K Nyquist2
Ian M Mbano3
Vincent N Miao1
Constantine N Tzouanas1
Yuming Cao4
Ashraf S Yousif1
Julia Bals1
Blake M Hauser1
Jared Feldman1
Christoph Muus5
Marc H Wadsworth2
Samuel W Kazer2
Travis K Hughes1
Benjamin Doran2
G James Gatter2
Marko Vukovic2
Faith Taliaferro5
Benjamin E Mead2
Zhiru Guo4
Jennifer P Wang4
Delphine Gras6
Magali Plaisant7
Meshal Ansari8
Ilias Angelidis8
Heiko Adler8
Jennifer MS Sucre9
Chase J Taylor9
Brian Lin10
Avinash Waghray10
Vanessa Mitsialis11
Daniel F Dwyer12
Kathleen M Buchheit12
Joshua A Boyce12
Nora A Barrett12
Tanya M Laidlaw12
Shaina L Carroll13
Lucrezia Colonna14
Victor Tkachev11
Christopher W Peterson15
Alison Yu11
Hengqi Betty Zheng14
Hannah P Gideon16
Caylin G Winchell16
Philana Ling Lin16
Colin D Bingle17
Scott B Snapper11
Jonathan A Kropski9
Fabian J Theis8
Herbert B Schiller8
Laure-Emmanuelle Zaragosi7
Pascal Barbry7
Alasdair Leslie3
Hans-Peter Kiem15
JoAnne L Flynn16
Sarah M Fortune1
Bonnie Berger2
Robert W Finberg4
Leslie S Kean11
Manuel Garber4
Aaron G Schmidt1
Daniel Lingwood1
Alex K Shalek1
Jose Ordovas-Montanes5
1Harvard Medical School & Massachusetts Institute of Technology
2Massachusetts Institute of Technology
3Africa Health Research Institute, Durban
4University of Massachusetts Medical School
5Broad Institute of MIT and Harvard
6Aix-Marseille University, INSERM
7Université Côte d'Azur
8Helmholtz Zentrum München, Munich
9Vanderbilt University Medical Center
10Massachusetts General Hospital
11Boston Children's Hospital
12Brigham and Women's Hospital
13University of California, Berkeley
14University of Washington, Seattle
15Fred Hutchinson Cancer Research Center, Seattle
16University of Pittsburgh School of Medicine
17The Medical School and The Florey Institute for Host Pathogen Interactions, University of Sheffield
Ami Day

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/0b299140-25b5-4861-a69f-7651ff3f46cf

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://chanzuckerberg.github.io/cellxgene/posts/cellxgene_cziscience_com2.https://drive.google.com/drive/folders/1bxCIqNeZ7wLuVOT16gphwj98_cc9KhrV?usp=sharing3.https://singlecell.broadinstitute.org/single_cell/covid194.https://singlecell.broadinstitute.org/single_cell?scpbr=the-alexandria-project
INSDC Project Accessions:GEO Series Accessions:INSDC Study Accessions:

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Analysis Portals

None

Project Label

CovidCellTypes

Species

2 species

Sample Type

2 sample types

Anatomical Entity

4 anatomical entities

Organ Part

4 organ parts

Selected Cell Types

Unspecified

Model Organ

3 model organs

Disease Status (Specimen)

normal

Disease Status (Donor)

normal

Development Stage

2 development stages

Library Construction Method

4 library construction methods

Nucleic Acid Source

2 nucleic acid sources

Paired End

false, true

Analysis Protocol

analysis_protocol_processed_basal_cell_stimulation, analysis_protocol_processed_human_ileum, analysis_protocol_processed_human_lung, analysis_protocol_raw

File Format

5 file formats

Cell Count Estimate

33.8k

Donor Count

11
csv.gz2 file(s)fastq.gz148 file(s)tar1 file(s)txt.gz5 file(s)xlsx1 file(s)