Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-cell longitudinal analysis of SARS-CoV-2 infection in human airway epithelium identifies target cells, alterations in gene expression and cell state changes

ABSTRACT: We performed single-cell RNA sequencing on human bronchial epithelial cells infected with SARS-CoV-2. Results revealed a detailed characterization of genes, cell types, and cell state changes asociated with SARS-CoV-2 infection in the human airway.

ORGANISM(S): Homo sapiens

PROVIDER: GSE166766 | GEO | 2021/02/28

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

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

RNA-Seq of SARS-Cov-2 Infection in Human Airway Epithelium Organoids

Project description:We performed RNA-Seq of SARS-Cov-2 infection in human airway epithelium organoids. The organoids were infected with SARS-Cov-2 for 24hours or 48hours respectively, and compared with uninfected mock control.

2021-08-07 | GSE155974 | GEO

Single cell RNA-seq analysis of bronchial epithelium in patients with severe SARS-CoV-2 pneumonia

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.

2021-03-05 | GSE168215 | GEO

RNA-Seq of SARS-Cov-2 Infection in Human Bronchial Epithelium Organoids

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

Characterization of the SARS-CoV-2 Host Response in Primary Human Airway Epithelial Cells from Aged Individuals

Project description:Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19), a global pandemic characterized by respiratory illness and an exaggerated immune response. Age (>60 years) is a significant risk factor for developing severe COVID-19. However, the underlying mechanisms of how aging impacts SARS-CoV-2 infection and the host response are largely unknown. Therefore, we performed an in vitro study to characterize the host response to SARS-CoV-2 infection using primary human bronchial epithelial cells from donors >67 years of age differentiated on air-liquid interface culture. We demonstrate that SARS-CoV-2 infection leads to early induction of a proinflammatory response and a delayed interferon response. In addition, we observe changes in genes and pathways associated with cell death and senescence throughout infection. In summary, our study provides important insights into the temporal kinetics of the airway epithelial innate immune response to SARS-CoV-2 in older individuals.

2021-05-29 | GSE175779 | GEO

Selective Kinin Receptor B2 Antagonist Icatibant Reduces SARS-CoV-2 Replication in Primary Bronchial Epithelium Early

Project description:We provide evidence that the licensed drug icatibant, a selective antagonist of kinin B2 receptor interfering with the kinin-kallikrein system, has protective effects on primary airway epithelial cells (NHBE) during SARS-CoV-2 infection. Icatibant suppresses gene expression broadly, thereby reducing the expression of SARS-CoV-2 entry receptor ACE2 in vitro and in a murine airway inflammation model in vivo. Icatibant further impedes SARS-CoV-2 replication in NHBE and the release of infectious particles into supernatants.

2022-03-09 | GSE176405 | GEO

Primary Human Airway Epithelial Cultures infected with SARS-CoV-2

Project description:We performed RNAseq analysis on primary human airway epithelial cultures either mock infected (PBS) or infected with SARS-CoV-2. Transcriptional profiling studies found that infected pHAE cells had a molecular signature dominated by pro-inflammatory cytokines and chemokine induction, including IL-6, TNFα, CXCL8, and identified NF-κB and ATF4 as key drivers of this pro-inflammatory cytokine response. Surprisingly, we observed a lack of a type I or III interferon (IFN) response to SARS-CoV-2 infection

2020-07-21 | GSE153970 | GEO

An Airway Organoid-Based Screen Identifies a Role for the HIF1α-Glycolysis Axis in SARS-CoV-2 Infection

Project description:SARS-CoV-2 causes the COVID-19 pandemic. It is urgent to develop disease models to dissect mechanisms regulating SARS-CoV-2 infection. Here, we derive airway organoids from human pluripotent stem cells (hPSC-AOs). The hPSC-AOs, particularly ciliated-like cells, are permissive to SARS-CoV-2 infection. Using this platform, we perform a high content screen and identify GW6471, which blocks SARS-CoV-2 infection. GW6471 can also block infection of the B.1.351 SARS-CoV-2 variant. RNA-seq analysis suggests that GW6471 blocks SARS-CoV-2 infection at least in part by inhibiting HIF1α, which is further validated by chemical inhibitor and genetic perturbation targeting HIF1α. Metabolic profiling identifies decreased rates of glycolysis upon GW6471 treatment, consistent with transcriptome profiling. Finally, xanthohumol, 5-(Tetradecyloxy)-2-furoic acid, and ND-646, three compounds that suppress fatty acid biosynthesis, also block SARS-CoV-2 infection. Together, a high content screen coupled with transcriptome and metabolic profiling reveals a key role of the HIF1α-glycolysis axis in mediating SARS-CoV-2 infection of human airway epithelium.

2021-09-24 | ST001921 | MetabolomicsWorkbench

A Retrospective Cohort Study for Main Postoperative Complications After SARS-CoV-2 Infection

Project description:To explore the relationship between SARS-CoV-2 infection in different time before operation and postoperative main complications (mortality, main pulmonary and cardiovascular complications) 30 days after operation; To determine the best timing of surgery after SARS-CoV-2 infection.

| 12454 | ecrin-mdr-crc

SHAE004: SARS-CoV, SARS-dORF6 and SARS-BatSRBD infection of HAE cultures.

Project description:HAE cultures were infected with SARS-CoV, SARS-dORF6 or SARS-BatSRBD and were directly compared to A/CA/04/2009 H1N1 influenza-infected cultures. Cell samples were collected at various hours post-infection for analysis. Time Points = 0, 12, 24, 36, 48, 60, 72, 84 and 96 hrs post-infection for SARS-CoV, SARS-dORF6 and SARS-BatSRBD. Time Points = 0, 6, 12, 18, 24, 36 and 48 hrs post-infection for H1N1. Done in triplicate for RNA Triplicates are defined as 3 different wells, plated at the same time and using the same cell stock for all replicates. Time matched mocks done in triplicate from same cell stock as rest of samples. Culture medium (the same as what the virus stock is in) will be used for the mock infections. Infection was done at an MOI of 2 for SARS viruses and an MOI of 1 for H1N1.

2013-07-31 | E-GEOD-47962 | 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