Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-sequencing from nasal curettes or swabs collected from young children aged 1-5

ABSTRACT: There is a paucity of data on how the mucosal immune system changes with age. Moreover, the link between nasal presence of bacteria and viruses with the immune system in young children is still poorly understood. To address these questions we collected nasal curettes, nasal swabs and filter papers from young children undergoing anesthesia for surgery unrelated to respiratory complaints. Microbial and host parameters were analysed from these samples, including transcriptomics from nasal curettes and swabs. Results revealed strong differences in nasal mucosal immunity in children compared with adutls, as well as clear effects of the presence of bacteria such as pneumococcus and haemophilus on the local immune system

ORGANISM(S): Homo sapiens

PROVIDER: GSE290387 | GEO | 2026/02/25

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Nasal swabs

Project description:Nasal swabs Raw sequence reads

| PRJNA998709 | ENA

Upper Airway Gene Expression in Hospitalized Children with Rhinovirus-induced Respiratory Illnesses

Project description:In this study, we collected nasal swabs from infants and children hospitalized with RV infection and assessed gene expression by next generation sequencing, comparing profiles to swabs obtained from control subjects undergoing otolaryngologic procedures. We also compared gene expression patterns to those obtained from children with respiratory syncytial virus (RSV) infection, another common respiratory virus well-studied in children.

2025-12-01 | GSE311749 | GEO

RNA-sequencing from nasal curettes or swabs collected from young children aged 1-5

Project description:RNA-sequencing from nasal curettes or swabs collected from young children aged 1-5

| PRJNA1227868 | ENA

Natural Mucosal Barriers and COVID-19 in Children

Project description:BACKGROUND. Coronavirus disease 2019 (COVID-19) is more benign in children compared with adults for unknown reasons. This contrasts with other respiratory viruses where disease manifestations are often more severe in children. We hypothesize that a more robust early innate immune response to SARS coronavirus 2 (SARS-CoV-2) protects against severe disease. METHODS. Clinical outcomes, SARS-CoV-2 viral copies, and cellular gene expression were compared in nasopharyngeal swabs obtained at the time of presentation to the emergency department from 12 children and 27 adults using bulk RNA sequencing and quantitative reverse-transcription PCR. Total protein, cytokines, and anti–SARS-CoV-2 IgG and IgA were quantified in nasal fluid. We used a subset of 21 samples for RNAseq analysis. RESULTS. SARS-CoV-2 copies, angiotensin-converting enzyme 2 (ACE2), and TMPRSS2 gene expression were similar in children and adults, but children displayed higher expression of genes associated with IFN signaling, NLRP3 inflammasome, and other innate pathways. Higher levels of IFN-α2, IFN-γ, IP-10, IL-8, and IL-1β protein were detected in nasal fluid in children versus adults. Children also expressed higher levels of genes associated with immune cells, whereas expression of those associated with epithelial cells did not differ in children versus adults. Anti–SARS-CoV-2 IgA and IgG were detected at similar levels in nasal fluid from both groups. None of the children required supplemental oxygen, whereas 7 adults did (P = 0.03); 4 adults died. CONCLUSION. These findings provide direct evidence of a more vigorous early mucosal immune response in children compared with adults and suggest that this contributes to favorable clinical outcomes.

2021-05-11 | GSE172274 | GEO

Network Analysis Reveals Age- and Virus-Specific Circuits in Nasal Epithelial Cells of Extremely Premature Infants

Project description:Viral respiratory infections significantly affect young children, particularly extremely premature infants, resulting in high hospitalization rates and increased health-care burdens. Despite posing substantial health risks, airway immune responses in early life remain largely unexplored. Nasal epithelial cells, the primary defense against respiratory infections, are vital for understanding nasal immune responses and serve as a promising target for uncovering underlying molecular and cellular mechanisms. Using a trans-well pseudostratified nasal epithelial cell system, we examined age-dependent developmental differences and antiviral responses to influenza A and respiratory syncytial virus through systems biology approaches. Our studies revealed differences in innate-receptor repertoires, distinct developmental pathways, and differentially connected antiviral network circuits between neonatal and adult nasal epithelial cells. Consensus network analysis identified unique and shared cellular networks for influenza A and respiratory syncytial virus, emphasizing highly relevant virus-specific pathways. This research highlights the importance of nasal epithelial cells in innate antiviral immune responses and offers novel insights that should enable a deeper understanding of age-related differences in nasal epithelial cell immunity following respiratory virus infections.

2024-11-06 | PXD042209 | Pride

Bovine nasal swabs and faeces

Project description:Bovine nasal swabs and faeces Raw sequence reads

| PRJNA1359347 | ENA

Bovine nasal swabs viral metagenome

Project description:Bovine nasal swabs viral metagenome Raw sequence reads

| PRJNA634678 | ENA

Gene expression profiling of nasal swabs samples from children with asthma or wheezing exacerbations.

Project description:Nasal swab specimens were collected from children who presented to the emergency department with an acute exacerbation of asthma or wheeze. Samples were also collected from control subjects. Convalescent/quiescent samples were collected from children who were followed-up at least 6 weeks after an acute exacerbation of asthma or wheeze. Gene expression was profiled on microarrays.

2019-02-17 | GSE103166 | GEO

Nasal swabs and co-cultured samples

Project description:Nasal swabs and co-cultured samples Raw sequence reads

| PRJNA550035 | ENA

Detection of SARS-CoV-2 in nasal swabs using MALDI-MS

Project description:Detection of SARS-CoV-2 using RT–PCR and other advanced methods can achieve high accuracy. However, their application is limited in countries that lack sufficient resources to handle large-scale testing during the COVID-19 pandemic. Here, we describe a method to detect SARS-CoV-2 in nasal swabs using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) and machine learning analysis. This approach uses equipment and expertise commonly found in clinical laboratories in developing countries. We obtained mass spectra from a total of 362 samples (211 SARS-CoV-2-positive and 151 negative by RT–PCR) without prior sample preparation from three different laboratories. We tested two feature selection methods and six machine learning approaches to identify the top performing analysis approaches and determine the accuracy of SARS-CoV-2 detection. The support vector machine model provided the highest accuracy (93.9%), with 7% false positives and 5% false negatives. Our results suggest that MALDI-MS and machine learning analysis can be used to reliably detect SARS-CoV-2 in nasal swab samples.

2020-09-11 | PXD021388 | Pride

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