HCA Data Explorer

A molecular single-cell lung atlas of lethal COVID-19

Updated August 30, 2022

Respiratory failure is the leading cause of death in patients with severe SARS-CoV-2 infection, but the host response at the lung tissue level is poorly understood. Here we performed single-nucleus RNA sequencing of about 116,000 nuclei from the lungs of nineteen individuals who died of COVID-19 and underwent rapid autopsy and seven control individuals. Integrated analyses identified substantial alterations in cellular composition, transcriptional cell states, and cell-to-cell interactions, thereby providing insight into the biology of lethal COVID-19. The lungs from individuals with COVID-19 were highly inflamed, with dense infiltration of aberrantly activated monocyte-derived macrophages and alveolar macrophages, but had impaired T cell responses. Monocyte/macrophage-derived interleukin-1β and epithelial cell-derived interleukin-6 were unique features of SARS-CoV-2 infection compared to other viral and bacterial causes of pneumonia. Alveolar type 2 cells adopted an inflammation-associated transient progenitor cell state and failed to undergo full transition into alveolar type 1 cells, resulting in impaired lung regeneration. Furthermore, we identified expansion of recently described CTHRC1+ pathological fibroblasts3 contributing to rapidly ensuing pulmonary fibrosis in COVID-19. Inference of protein activity and ligand–receptor interactions identified putative drug targets to disrupt deleterious circuits. This atlas enables the dissection of lethal COVID-19, may inform our understanding of long-term complications of COVID-19 survivors, and provides an important resource for therapeutic development.

Jianwen QueColumbia University Irving Medical Centerjq2240@cumc.columbia.edu
Benjamin IzarColumbia University Irving Medical Centerbi2175@cumc.columbia.edu
Johannes C Melms1
Jana Biermann1
Huachao Huang1
Yiping Wang1
Ajay Nair1
Somnath Tagore1
Igor Katsyv1
Andre F Rendeiro2
Amit Dipak Amin1
Denis Schapiro3
Chris J Frangieh4
Adrienne M Luoma5
Aveline Filliol1
Yinshan Fang1
Hiranmayi Ravichandran6
Mariona G Clausi1
George A Alba7
Meri Rogava1
Sean W Chen1
Patricia Ho1
Daniel T Montoro8
Adam E Kornberg1
Arnold S Han1
Mathieu F Bakhoum9
Niroshana Anandasabapathy6
Mayte Suárez-Fariñas10
Samuel F Bakhoum11
Yaron Bram6
Alain Borczuk6
Xinzheng V Guo1
Jay H Lefkowitch1
Charles Marboe1
Stephen M Lagana1
Armando D Portillo1
Emmanuel Zorn1
Glen S Markowitz1
Robert F Schwabe1
Robert E Schwartz6
Olivier Elemento6
Anjali Saqi1
Hanina Hibshoosh1
Jianwen Que1
Benjamin Izar1
1Columbia University Irving Medical Center
2Institute for Computational Biomedicine, Weill Cornell Medicine
3Harvard Medical School
4Klarman Cell Observatory, Broad Institute of MIT and Harvard
5Dana-Farber Cancer Center
6Weill Cornell Medicine
7Massachusetts General Hospital
8Broad Institute of MIT and Harvard
9University of California San Diego
10Icahn School of Medicine at Mount Sinai
11Memorial Sloan Kettering Cancer Center
Wei Kheng Teh

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/d7845650-f6b1-4b1c-b2fe-c0795416ba7b

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://singlecell.broadinstitute.org/single_cell/study/SCP1219 ; https://duos. broadinstitute.org (study ID DUOS-000130)
GEO Series Accessions:INSDC Study Accessions:

Downloaded and exported data is governed by the HCA Data Release Policy and licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). For more information please see our Data Use Agreement.

Analysis Portals

CZ CELLxGENECZ CELLxGENE
UCSC Cell BrowserUCSC Cell Browser

Project Label

LethalCovidLungAtlas

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

pair of lungs

Organ Part

Unspecified

Selected Cell Types

Unspecified

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

5 disease statuses

Development Stage

human adult stage

Library Construction Method

10x 3' v3

Nucleic Acid Source

single nucleus

Paired End

false

Analysis Protocol

analysis_file_generation, quality_control_filtering

File Format

2 file formats

Cell Count Estimate

116.0k

Donor Count

26
csv.gz28 file(s)xlsx1 file(s)