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1.
Nat Med ; 29(6): 1563-1577, 2023 Jun.
Article in English | MEDLINE | ID: covidwho-20242944

ABSTRACT

Single-cell technologies have transformed our understanding of human tissues. Yet, studies typically capture only a limited number of donors and disagree on cell type definitions. Integrating many single-cell datasets can address these limitations of individual studies and capture the variability present in the population. Here we present the integrated Human Lung Cell Atlas (HLCA), combining 49 datasets of the human respiratory system into a single atlas spanning over 2.4 million cells from 486 individuals. The HLCA presents a consensus cell type re-annotation with matching marker genes, including annotations of rare and previously undescribed cell types. Leveraging the number and diversity of individuals in the HLCA, we identify gene modules that are associated with demographic covariates such as age, sex and body mass index, as well as gene modules changing expression along the proximal-to-distal axis of the bronchial tree. Mapping new data to the HLCA enables rapid data annotation and interpretation. Using the HLCA as a reference for the study of disease, we identify shared cell states across multiple lung diseases, including SPP1+ profibrotic monocyte-derived macrophages in COVID-19, pulmonary fibrosis and lung carcinoma. Overall, the HLCA serves as an example for the development and use of large-scale, cross-dataset organ atlases within the Human Cell Atlas.


Subject(s)
COVID-19 , Lung Neoplasms , Pulmonary Fibrosis , Humans , Lung , Lung Neoplasms/genetics , Macrophages
2.
Nat Med ; 27(3): 546-559, 2021 03.
Article in English | MEDLINE | ID: covidwho-1319033

ABSTRACT

Angiotensin-converting enzyme 2 (ACE2) and accessory proteases (TMPRSS2 and CTSL) are needed for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cellular entry, and their expression may shed light on viral tropism and impact across the body. We assessed the cell-type-specific expression of ACE2, TMPRSS2 and CTSL across 107 single-cell RNA-sequencing studies from different tissues. ACE2, TMPRSS2 and CTSL are coexpressed in specific subsets of respiratory epithelial cells in the nasal passages, airways and alveoli, and in cells from other organs associated with coronavirus disease 2019 (COVID-19) transmission or pathology. We performed a meta-analysis of 31 lung single-cell RNA-sequencing studies with 1,320,896 cells from 377 nasal, airway and lung parenchyma samples from 228 individuals. This revealed cell-type-specific associations of age, sex and smoking with expression levels of ACE2, TMPRSS2 and CTSL. Expression of entry factors increased with age and in males, including in airway secretory cells and alveolar type 2 cells. Expression programs shared by ACE2+TMPRSS2+ cells in nasal, lung and gut tissues included genes that may mediate viral entry, key immune functions and epithelial-macrophage cross-talk, such as genes involved in the interleukin-6, interleukin-1, tumor necrosis factor and complement pathways. Cell-type-specific expression patterns may contribute to the pathogenesis of COVID-19, and our work highlights putative molecular pathways for therapeutic intervention.


Subject(s)
COVID-19/epidemiology , COVID-19/genetics , Host-Pathogen Interactions/genetics , SARS-CoV-2/physiology , Sequence Analysis, RNA/statistics & numerical data , Single-Cell Analysis/statistics & numerical data , Virus Internalization , Adult , Aged , Aged, 80 and over , Alveolar Epithelial Cells/metabolism , Alveolar Epithelial Cells/virology , Angiotensin-Converting Enzyme 2/genetics , Angiotensin-Converting Enzyme 2/metabolism , COVID-19/pathology , COVID-19/virology , Cathepsin L/genetics , Cathepsin L/metabolism , Datasets as Topic/statistics & numerical data , Demography , Female , Gene Expression Profiling/statistics & numerical data , Humans , Lung/metabolism , Lung/virology , Male , Middle Aged , Organ Specificity/genetics , Respiratory System/metabolism , Respiratory System/virology , Sequence Analysis, RNA/methods , Serine Endopeptidases/genetics , Serine Endopeptidases/metabolism , Single-Cell Analysis/methods
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