Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Bulk RNA sequencing of SARS-CoV-2 infected alveolar type I- and type II like cells

ABSTRACT: Bulk RNA sequencing was performed on control and SARS-CoV-2 infected 2D bronchioalveolar-like and small airway cultures Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), may result in acute respiratory distress syndrome (ARDS), multi-organ failure and death. The alveolar epithelium is a major target of the virus, but representative models to study virus host interactions in more detail are currently lacking. Here, we describe a human 2D air-liquid interphase culture system which was characterized by confocal-, electron-microscopy and mRNA expression analysis. In this model, alveolar type I- (ATI-L) and type II-like (ATII-L) cells, but also basal cells, neuroendocrine cells and club cells, are grown from 3D self-renewing lung bud tip organoids. These cultures were readily infected by SARS-CoV-2 with both ATI-L and ATII-L cells being targeted. Consequently, significant viral titers were detected and mRNA expression analysis revealed induction of a type I/III interferon response program. Hence, these cultures represent an experimental model for SARS-CoV-2 infection and can be applied for drug screens.

ORGANISM(S): Homo sapiens

PROVIDER: GSE153218 | GEO | 2020/12/07

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Single-cell RNA-seq of air-liquid interface bronchioalveolar cells

Project description:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), may result in acute respiratory distress syndrome (ARDS), multi-organ failure and death. The alveolar epithelium is a major target of the virus, but representative models to study virus host interactions in more detail are currently lacking. Here, we describe a human 2D air-liquid interface culture system which was characterized by confocal-, electron-microscopy and single cell mRNA expression analysis. In this model, alveolar cells, but also basal cells and rare neuroendocrine cells, are grown from 3D self-renewing lung bud tip organoids. These cultures were readily infected by SARS-CoV-2 with mainly surfactant protein C-positive ATII-like cells being targeted. Consequently, significant viral titers were detected and mRNA expression analysis revealed induction of type I/III interferon response program. Treatment of these cultures with a low dose of interferon lambda dramatically reduced viral replication. Hence, these cultures represent an experimental model for SARS-CoV-2 infection and can be applied for drug screens.

2021-01-29 | GSE161934 | GEO

SARS-CoV-2 infection of primary human lung epithelium for COVID-19 modeling and drug discovery

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

bulk RNAseq of SARS-COV2 infected human lung organoid

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 5 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 10 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 | GSE160435 | GEO

Circuits between infected macrophages and T cells in SARS-CoV-2 pneumonia

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

A bipotential organoid culture of respiratory epithelium for modeling SARS-CoV-2 infection

Project description:The airways and the alveoli of the human respiratory tract are lined by two distinct types of epithelium. We previously established long-term expanding human lung epithelial organoids from lung tissues and developed a ‘proximal’ differentiation protocol to generate mucociliary airway organoids, yet the derivation of alveolar organoids from adult lung has remained a challenge. Here we defined a ‘distal’ differentiation approach to generate alveolar organoids from the same source that allows the establishment of airway organoids. Alveolar organoids are enriched for AT1 and AT2 cells and functionally simulate the alveolar epithelium. AT2 cells in lung organoids act as the progenitor cells from which alveolar organoids emerge. Moreover, we demonstrate productive SARS-CoV-2 infection of alveolar organoids. We further optimize 2-dimensional (2D) airway organoids. When differentiated under a slightly acidic pH, these 2D airway organoids sustain enhanced viral replication and better recapitulate the high infectivity of SARS-CoV-2. Moreover, the optimized 2D airway organoids can model IgG transcytosis across the airway epithelium. Collectively, we establish a bipotential organoid culture system that can reproducibly expand the entire human respiratory epithelium in vitro for modeling respiratory diseases, including COVID-19.

2022-06-22 | GSE189514 | GEO

Bulk RNA Barcoding and sequencing (BRB-seq) of Mock, SARS-CoV, and SARS-CoV-2 infected human airway epithelial cell cultures at 33°C and 37°C

Project description:For the assessment of host response dynamics to SARS-CoV and SARS-CoV-2 infections in human airway epithelial cells at ambient temperature corresponding to the upper or lower respiratory tract. We performed a temporal transcriptome analysis on human airway epithelial cell (hAEC) cultures infected with SARS-CoV and SARS-CoV-2, as well as uninfected hAEC cultures, incubated either at 33°C or 37°C. hAEC cultures were harvested at 24, 48 72, 96 hpi and processed for Bulk RNA Barcoding and sequencing (BRB-seq), which allows a rapid and sensitive genome-wide transcriptomic analysis in a highly multiplexed manner. Transcriptome data was obtained from a total of 7 biological donors for pairwise comparisons of SARS-CoV or SARS-CoV-2 virus-infected to unexposed hAEC cultures at respective time points and temperatures.

2020-11-27 | E-MTAB-9781 | biostudies-arrayexpress

Three-dimensional human alveolar stem cell culture models reveal infection response to SARS-CoV-2

Project description:Severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2), which is the cause of a present global pandemic, infects human lung alveolar type 2 (hAT2) cells. Characterizing pathogenesis is crucial for developing vaccines and therapeutics. However, the lack of models mirroring the cellular physiology and pathology of hAT2 cells limits the study. Here, we develop a feeder-free, long-term three-dimensional (3D) culture technique for hAT2 cells, and investigate infection response to SARS-CoV-2. By imaging-based analysis and single-cell transcriptome profiling, we reveal rapid viral replication and the increased expression of interferon-associated genes and pro-inflammatory genes in infected hAT2 cells, indicating robust endogenous innate immune response. Further tracing of viral mutations acquired during transmission identifies full infection of individual cells effectively from a single viral entry. Our study provides deep insights into the pathogenesis of SARS-CoV-2, and the application of defined 3D hAT2 cultures as models for respiratory diseases.

2020-10-10 | GSE159316 | GEO

Gene expression data of alveolosphere/airway organoid and alveolosphere with SARS-CoV-2 or mock infection

Project description:Although the main cellular target of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is thought to be alveolar cells, the absence of their tractable culture system has precluded the development of a clinically-relevant SARS-CoV-2 infection model. Here, we established an efficient human alveolosphere culture method and sphere-based drug testing platform for SARS-CoV-2. Alveolospheres exhibited indolent growth in a Wnt and R-spondin dependent manner. Gene expression, immunofluorescence and electron microscopy analyses revealed the presence of alveolar cells in alveolospheres. Alveolospheres expressed ACE2 and allowed SARS-CoV-2 to propagate nearly 100,000- fold in three days of infection. While lopinavir and nelfinavir, protease inhibitors used for the treatment of HIV infection, had a modest anti-viral effect on SARS-CoV-2, remdesivir, a nucleotide prodrug, showed anti-viral effect at the concentration comparable to the circulating drug level. These results demonstrated the validity of alveolosphere culture system for the development of therapeutic agents to combat SARS-CoV-2.

2021-05-17 | GSE171430 | GEO

LC-MS/MS Analysis of Respiratory Viruses

Project description:Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and other respiratory viruses -Coronavirus OC43, Coronavirus 229E, Influenza A/H1N1, Influenza A/H3N2, Influenza B, Respiratory Syncytial Virus RSV A and RSV B - were analysed by bottom-up proteomics of viral cultures. High coverage of viral proteins was acheived after culturing in serum-free conditions when compared to cultures grown using standard conditions including 2% fetal bovine serum.

2022-10-13 | PXD028562 | Pride

Cytokine stimulation systems approach demonstrates differences in innate and pro-inflammatory host responses between genetically distinct MERS-CoV isolates.

Project description:Background: The recent emergence of a novel coronavirus in the Middle East (designated MERS-CoV) is a reminder of the zoonotic potential of coronaviruses and the severe disease these etiologic agents can cause in humans. Clinical features of Middle East respiratory syndrome (MERS) include severe acute pneumonia and renal failure that is highly reminiscent of severe acute respiratory syndrome (SARS) caused by SARS-CoV. The host response is a key component of highly pathogenic respiratory virus infection. Here, we computationally analyzed gene expression changes in a human airway epithelial cell line infected with two genetically distinct MERS-CoV strains obtained from human patients, MERS-CoV-EMC (designated EMC) and MERS-CoV-London (designated LoCoV). Results: Using topological techniques, such as persistence homology and filtered clustering, we characterized the host response system to the different MERS-CoVs, with LoCoV inducing early kinetic changes, between 3 and 12 hours post infection, compared to EMC. Robust transcriptional changes distinguished the two MERS-CoV strains predominantly at the late time points. Combining statistical analysis of infection and cytokine-stimulated treatment transcriptomics, we identified differential innate and pro-inflammatory responses between the two virus strains, including up-regulation of extracellular remodeling genes following LoCoV infection and differential pro-inflammatory responses between the two strains. Conclusions: These transcriptional differences may be the result of amino acid differences in viral proteins known to modulate innate immunity against MERS infection. Triplicate wells of Calu-3 2B4 cells were infected with Human Coronavirus EMC 2012 (HCoV-EMC) or time-matched mock infected. Cells were harvested at 0, 3, 7, 12, 18 and 24 hours post-infection (hpi), RNA extracted and transcriptomics analyzed by microarray.

2014-08-31 | E-GEOD-56677 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data