Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

In vivo antiviral host response to SARS-CoV-2 by viral load, sex, and age [dataset I]

ABSTRACT: In vivo antiviral host response to SARS-CoV-2 by viral load, sex, and age [dataset I]

PROVIDER: PRJNA638272 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

In vivo antiviral host response to SARS-CoV-2 by viral load, sex, and age [dataset I]

Project description:We examined host gene expression across infection status, viral load, age, and sex among RNA-sequencing profiles of nasopharyngeal swabs from 430 individuals with SARS-CoV-2 and 54 negative controls. SARS-CoV-2 induced a strong interferon-driven antiviral response and reduced transcription of ribosomal proteins. Expression of interferon-responsive genes, including ACE2, increased as a function of viral load. B cells and neutrophils were higher in patients with lower viral load. Older individuals had reduced expression of chemokines CXCL9/10/11, their cognate receptor CXCR3, and CD8A and granzyme B. Males had reduced B and NK cell-specific transcripts and increased NFkB inhibitors. Our data demonstrate that host responses to SARS-CoV-2 are dependent on viral load and infection time course, with observed differences due to age and sex that may contribute to disease severity.

2020-06-22 | GSE152075 | GEO

In vivo antiviral host response to SARS-CoV-2 by viral load, sex, and age [dataset II]

Project description:In vivo antiviral host response to SARS-CoV-2 by viral load, sex, and age [dataset II]

| PRJNA647400 | ENA

In vivo antiviral host response to SARS-CoV-2 by viral load, sex, and age [dataset III]

Project description:In vivo antiviral host response to SARS-CoV-2 by viral load, sex, and age [dataset III]

| PRJNA647401 | ENA

In vivo antiviral host response to SARS-CoV-2 by viral load, sex, and age

Project description:In vivo antiviral host response to SARS-CoV-2 by viral load, sex, and age

| PRJNA647399 | ENA

In vivo antiviral host response to SARS-CoV-2 by viral load, sex, and age [dataset III]

Project description:We examined host gene expression as a function of time in SARS-CoV-2-infected individuals.

2020-07-21 | GSE154769 | GEO

In vivo antiviral host response to SARS-CoV-2 by viral load, sex, and age [dataset II]

Project description:We examined host gene expression in human airway epithelial cells following infection at 3 or 7 days post infection (DPI) with SARS-CoV-2

2020-07-21 | GSE154768 | GEO

In vivo antiviral host response to SARS-CoV-2 by viral load, sex, and age

Project description:This SuperSeries is composed of the SubSeries listed below.

2020-07-21 | GSE154770 | GEO

In vivo antiviral host transcriptional response to SARS-CoV-2 by viral load, sex, and age.

Project description: Not available

| S-EPMC7478592 | biostudies-literature

Longitudinal host transcriptional responses to SARS-CoV-2 infection in adults with extremely high viral load

Project description:Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the etiologic agent of the coronavirus disease 2019 (COVID-19) pandemic. We conducted a longitudinal study to investigate gene expression patterns during the acute SARS-CoV-2 illness. The cases included SARS-CoV-2 infected individuals with an extremely high viral load early in their illness matched to individuals who either had a low SARS-CoV-2 viral load early in their infection or were otherwise stable patients who tested negative for SARS-CoV-2 prior to their outpatient surgical or aerosol generating procedure. We detected hundreds of up-regulated genes that were highly correlated to the SARS-CoV-2 viral load. Many of these up-regulated genes were enriched in cellular pathways involved in the innate immune response, antiviral interferon and cytokine signaling, and cell death.

2023-09-28 | GSE234486 | GEO

Analysis of blood and nasal epithelial transcriptomes to identify mechanisms associated with control of SARS-CoV-2 viral load in the upper respiratory tract

Project description:The amount of SARS-CoV-2 detected in the upper respiratory tract (URT viral load) is a key driver of transmission of infection. Current evidence suggests that mechanisms constraining URT viral load are different from those controlling lower respiratory tract viral load and disease severity. Understanding such mechanisms may help to develop treatments and vaccine strategies to reduce transmission. Combining mathematical modelling of URT viral load dynamics with transcriptome analyses we aimed to identify mechanisms controlling URT viral load. COVID-19 patients were recruited in Spain during the first wave of the pandemic. RNA sequencing of peripheral blood and targeted NanoString nCounter transcriptome analysis of nasal epithelium were performed and gene expression analysed in relation to paired URT viral load samples collected within 15 days of symptom onset. Proportions of major immune cells in blood were estimated from transcriptional data using computational differential estimation. Weighted correlation network analysis (adjusted for cell proportions) and fixed transcriptional repertoire analysis were used to identify associations with URT viral load, quantified as standard deviations (z-scores) from an expected trajectory over time.

2023-04-01 | E-MTAB-12791 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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