Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

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

PROVIDER: PRJNA733520 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR14682600.fastq.gz	Fastqsanger.gz
	SRR14682601.fastq.gz	Fastqsanger.gz
	SRR14682602.fastq.gz	Fastqsanger.gz
	SRR14682603.fastq.gz	Fastqsanger.gz
	SRR14682604.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 36

Similar Datasets

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

RNA-seq of human airway epithelial cells infected with SARS-CoV-2

Project description:The aim of this study was to compare the transcriptomic response of airway cells from donors with different chronic respiratory diseases following SARS-CoV-2 infection. We used four reconstituted samples of airway epithelium from either healthy donors, donors with cystic fibrosis or donors with chronic obstructive pulmonary disease (COPD). These samples were uninfected or infected with SARS-CoV-2 at a multiplicity of infection (MOI) of 0.1 for 24, 48 and 72 hours.

2025-02-11 | E-MTAB-14481 | biostudies-arrayexpress

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

Identification and Targeting of Regulators of SARS-CoV-2-Host interactions in the Airway Epithelium [PlateSeq]

Project description:The conducting airway epithelium is the first line of defense in the respiratory tract against pathogens and a prime site of SARS-CoV-2 viral entry, serving to maintain a high viral load during lung infection. The impact of SARS-CoV-2 infection in the respiratory epithelium has been extensively studied. However, still less is known about the regulators of SARS-Cov-2-induced programs that facilitate infection and viral replication in distinct human airway epithelial cell populations, such as basal, secretory, and multiciliated cells. Here, we used SARS-CoV-2-infection of human airway epithelial organotypic cultures, single cell transcriptomics, large FDA-approved drug perturbation profiles combined with Master Regulator analysis to identify host cell defense and response pathways determinants of viral infection

2025-05-18 | GSE262299 | GEO

Identification and Targeting of Regulators of SARS-CoV-2-Host interactions in the Airway Epithelium [scRNA-Seq]

2025-05-18 | GSE262298 | GEO

Exploring host cellular responses to SARS-CoV-2 variants using RNA sequencing of infected human airway epithelial cells

Project description:This study explores the interaction between various SARS-CoV-2 variants and host cells by using RNA sequencing (RNA-seq) of human airway epithelial cells. The primary objective was to elucidate the host cellular responses, including metabolic and immune pathways, to different SARS-CoV-2 variants. Human airway epithelial cells were infected with SARS-CoV-2 variants (IC19, Alpha, Beta, Delta, Omicron BA.1, and BA.5) and compared with mock samples at time 0. Samples were collected at 24 and 72 hours post-infection for RNA isolation and subsequent bulk RNA-sequencing. The RNA-seq data processing involved quality checks, mapping reads to a reference genome, and identifying differentially expressed genes to determine changes in gene expression in response to viral infection. This analysis aims to provide a deeper understanding of the molecular interactions between SARS-CoV-2 variants and host cells, contributing to the broader knowledge of viral pathogenicity and host-pathogen interactions.

2025-07-01 | GSE271378 | GEO

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

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

Host nasopharyngeal transcriptome analysis in a SARS-CoV-2 positive Italian cohort

Project description:The ongoing COVID-19 pandemic caused by SARS-CoV-2 has affected millions of people worldwide and has significant implications for public health. Host transcriptomics profiling provides comprehensive understanding of how the virus interacts with host cells and how the host responds to the virus. COVID-19 disease alters the host transcriptome, affecting cellular pathways and key molecular functions. To contribute to the global effort to understand the virus’s effect on host cell transcriptome, we have generated a dataset from nasopharyngeal swabs of 35 individuals infected with SARS-CoV-2 from the Campania region in Italy during the three outbreaks, with different clinical conditions. This dataset will help to elucidate the complex interactions among genes and can be useful in the development of effective therapeutic pathways

2023-05-25 | E-MTAB-13028 | biostudies-arrayexpress

SARS-CoV-2 Variant of Concern Fitness and Adaptation in Primary Human Airway Epithelia

Project description:Purpose: To identify the cell types change and gene expression change after infection with SARS-CoV-2 variants on primary human airway epithelial cells.

2025-01-09 | GSE253698 | GEO

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