Single cell RNA-seq analysis of bronchial epithelium in patients with severe SARS-CoV-2 pneumonia
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PROVIDER: PRJNA706570 | ENA |
REPOSITORIES: ENA
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Project description:To test whether airway epithelial and immune cells in patients with severe SARS-CoV-2 pneumonia exhibit specific gene expression signatures (namely interferon-response signature) we have performed bronchoscopy on intubated patients with severe SARS-CoV-2 pneumonia and obtained bronchial brushings.
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Project description:We performed RNA-Seq of SARS-Cov-2 infection in human bronchial epithelium organoids. The organoids were infected with SARS-Cov-2 for 48hours or 72hours respectively, and compared with uninfected mock control.
2021-06-08 | GSE152060 | GEO
Project description:Coronavirus disease 2019 (COVID-19) is a disease that causes fatal disorders including severe pneumonia. To develop a therapeutic drug for COVID-19, a model that can reproduce the viral life cycle and can evaluate the drug efficacy of anti-viral drugs is essential. In this study, we established a method to generate human bronchial organoids (hBO) from commercially available cryopreserved primary human bronchial epithelial cells (hBEpC) and examined whether they could be used as a model for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) research. The hBO were found to contain basal, club, ciliated, and goblet cells. Also, angiotensin-converting enzyme 2 (ACE2), which is a receptor for SARS-CoV-2, and transmembrane serine proteinase 2 (TMPRSS2), which is an essential serine protease for priming spike protein of SARS-CoV-2, were highly expressed. After hBO were infected with SARS-CoV-2, remarkable amplification of the viral genome and the expression of spike protein of the virus was confirmed. In addition, cytotoxicity and pyknosis cells were observed due to the virus infection. Furthermore, treatment with camostat, an inhibitor of TMPRSS2, reduced the viral copy number to 2% of the control group. RNA-seq analyses revealed genes whose expression was altered by SARS-CoV-2 infection and camostat treatment. These results suggest that our hBO are acceptable for SARS-CoV-2 infection and replication, but also can be used as a model for COVID-19 drug discovery.
2020-05-26 | GSE150819 | GEO
Project description:Asthma is a very frequent airway disease that affects 6 to 20% of the population. Severe asthma, represents 3 to 5% of all asthmatic patients and is histologically characterized by an increased bronchial smooth muscle (BSM) mass and clinically by viral exacerbations. Functionally, BSM remodeling had a poor prognostic value in asthma, since higher BSM mass was associated with lower lung function and increased exacerbation rate. However, the role of BSM as a potential actor of asthma exacerbation has only been sparsely suggested. We thus hypothesis that asthmatic BSM cells could act on bronchial epithelium and modified its response to rhinovirus infection.
2023-05-02 | PXD015604 | Pride
Project description:19 bronchial epithelial SAGE libraries were constructed and analyzed in this study. Discussed in the study: IDENTIFICATION OF NOVEL LUNG GENES IN BRONCHIAL EPITHELIUM BY SERIAL ANALYSIS OF GENE EXPRESSION Kim M. Lonergan1, Raj Chari1, Ronald J. deLeeuw1, Ashleen Shadeo1, Bryan Chi1, Ming-Sound Tsao2, Steven Jones3, Marco Marra3, Victor Ling1, Raymond Ng1,4, Calum MacAulay5, Stephen Lam5 and Wan L. Lam1 From the 1Department of Cancer Genetics & Developmental Biology, 5Department of Cancer Imaging, 3Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Research Centre, Vancouver, BC, Canada, 2Ontario Cancer Institute / Princess Margaret Hospital, Toronto, ON, Canada, 4the Department of Computer Science, University of British Columbia, Vancouver, BC, Canada A description of the transcriptome of human bronchial epithelium should provide a basis for studying lung diseases including cancer. We demonstrate here that minute epithelial specimens obtained by bronchial brushings afford reliable profiling by serial analysis of gene expression (SAGE) leading to lung gene discovery. We have deduced global gene expression profiles of bronchial epithelium and lung parenchyma, based upon a vast data set of nearly two million sequence tags from 21 SAGE libraries generated from individuals with a history of smoking. Cluster and linear regression analysis demonstrate the repeatability and reproducibility of bronchial SAGE libraries, and suggest that the transcriptome of the bronchial epithelium is distinct from that of lung parenchyma and other tissue types. This distinction is highlighted by the abundant expression of signature genes that reflect tissue-specific and region-specific functions. Through our analysis we have identified novel bronchial-enriched genes and a novel transcript variant for surfactant, pulmonary-associated protein B in lung parenchyma. Conspicuously, gene expression associated with ciliogenesis is evident in bronchial epithelium. Additionally, it is noted that a large number of unmapped tags awaits further investigation. This study represents a comprehensive delineation of the bronchial and parenchyma transcriptomes, identifying more than 20,000 known and hypothetical genes expressed in the human lung, constituting one of the largest human SAGE studies reported to date. Keywords: bronchial epithelium 19 bronchial epithelial SAGE libraries were constructed and analyzed in this study.
2006-07-14 | E-GEOD-3707 | biostudies-arrayexpress
Project description:Some patients infected with Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) develop severe pneumonia and the acute respiratory distress syndrome (ARDS). Distinct clinical features in these patients have led to speculation that the immune response to virus in the SARS-CoV-2-infected alveolus differs from other types of pneumonia. We collected bronchoalveolar lavage fluid samples from 88 patients with SARS-CoV-2-induced respiratory failure and 211 patients with known or suspected pneumonia from other pathogens and subjected them to flow cytometry and bulk transcriptomic profiling. We performed single-cell RNA-seq on 10 bronchoalveolar lavage fluid samples collected from patients with severe COVID-19 within 48 hours of intubation. In the majority of patients with SARS-CoV-2 infection, the alveolar space was persistently enriched in T cells and monocytes. Bulk and single-cell transcriptomic profiling suggested that SARS-CoV-2 infects alveolar macrophages, which in turn respond by producing T cell chemoattractants. These T cells produce interferon-gamma to induce inflammatory cytokine release from alveolar macrophages and further promote T cell activation. Collectively, our results suggest that SARS-CoV-2 causes a slowly-unfolding, spatially-limited alveolitis in which alveolar macrophages harboring SARS-CoV-2 and T cells form a positive feedback loop that drives persistent alveolar inflammation.
2020-08-05 | GSE155249 | GEO
Project description:19 bronchial epithelial SAGE libraries were constructed and analyzed in this study. Discussed in the study: IDENTIFICATION OF NOVEL LUNG GENES IN BRONCHIAL EPITHELIUM BY SERIAL ANALYSIS OF GENE EXPRESSION Kim M. Lonergan1, Raj Chari1, Ronald J. deLeeuw1, Ashleen Shadeo1, Bryan Chi1, Ming-Sound Tsao2, Steven Jones3, Marco Marra3, Victor Ling1, Raymond Ng1,4, Calum MacAulay5, Stephen Lam5 and Wan L. Lam1 From the 1Department of Cancer Genetics & Developmental Biology, 5Department of Cancer Imaging, 3Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Research Centre, Vancouver, BC, Canada, 2Ontario Cancer Institute / Princess Margaret Hospital, Toronto, ON, Canada, 4the Department of Computer Science, University of British Columbia, Vancouver, BC, Canada A description of the transcriptome of human bronchial epithelium should provide a basis for studying lung diseases including cancer. We demonstrate here that minute epithelial specimens obtained by bronchial brushings afford reliable profiling by serial analysis of gene expression (SAGE) leading to lung gene discovery. We have deduced global gene expression profiles of bronchial epithelium and lung parenchyma, based upon a vast data set of nearly two million sequence tags from 21 SAGE libraries generated from individuals with a history of smoking. Cluster and linear regression analysis demonstrate the repeatability and reproducibility of bronchial SAGE libraries, and suggest that the transcriptome of the bronchial epithelium is distinct from that of lung parenchyma and other tissue types. This distinction is highlighted by the abundant expression of signature genes that reflect tissue-specific and region-specific functions. Through our analysis we have identified novel bronchial-enriched genes and a novel transcript variant for surfactant, pulmonary-associated protein B in lung parenchyma. Conspicuously, gene expression associated with ciliogenesis is evident in bronchial epithelium. Additionally, it is noted that a large number of unmapped tags awaits further investigation. This study represents a comprehensive delineation of the bronchial and parenchyma transcriptomes, identifying more than 20,000 known and hypothetical genes expressed in the human lung, constituting one of the largest human SAGE studies reported to date. Keywords: bronchial epithelium
2006-07-14 | GSE3707 | GEO
Project description:Coronavirus disease 2019 (COVID-19) is the latest respiratory pandemic resulting from zoonotic transmission of severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2). Severe symptoms include viral pneumonia secondary to infection and inflammation of the lower respiratory tract, in some cases causing death. We developed primary human lung epithelial infection models to understand responses of proximal and distal lung epithelium to SARS-CoV-2 infection. Differentiated air-liquid interface cultures of proximal airway epithelium and 3D organoid cultures of alveolar epithelium were readily infected by SARS-CoV-2 leading to an epithelial cell-autonomous proinflammatory response. We validated the efficacy of selected candidate COVID-19 drugs confirming that Remdesivir strongly suppressed viral infection/replication. We provide a relevant platform for studying COVID-19 pathobiology and for rapid drug screening against SARS-CoV-2 and future emergent respiratory pathogens.
2020-11-06 | GSE155518 | GEO
Project description:Transcriptional profiling of hyperplastic, metaplastic, and dysplastic lesions of the bronchus in comparison with normal bronchial epithelium. The aim was to identify transcripts and cell signalling pathways associated with the development of isolated premalignant lesions and/or lesions combined with each other in the same bronchial epithelium.
2016-05-25 | GSE81819 | GEO
Project description:Despite being exposed to respiratory syncytial virus (RSV) infection multiple times in our lives, infants, older-adults, and immunocompromised patients are vulnerable to RSV-associated severe diseases, such as bronchiolitis and pneumonia. Respiratory viral infections are known to promote pulmonary fibrosis formation, which are often associated with a cellular remodeling process epithelial-mesenchymal transition (EMT). However, there is no information on whether RSV causes EMT in bronchial epithelial cells. Our results suggest that RSV-infection does not induce EMT in three different in vitro lung models: epithelial A549 cell line, primary normal human bronchial epithelial cells, and pseudostratified airway epithelium. Interestingly, RSV infection increased cell surface area and perimeter in the infected airway epithelium, which is distinct from the TGF-β1 driven cell elongation. Genome-wide transcriptome analysis also revealed that RSV infection is not involved in cell motility and locomotion. Thus, our results suggest that RSV infection does not induce EMT in the airway epithelium
2023-06-13 | GSE189537 | GEO