Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Rhinovirus infection results in stronger and more persistent genomic dysregulation: evidence for altered innate immune response in asthmatics at baseline, early in infection, and during convalescence

ABSTRACT: Background: Rhinovirus (HRV) is associated with the large majority of virus-induced asthma exacerbations in children and young adults, but the mechanisms remain poorly defined. Methods: Asthmatics and non-asthmatic controls were inoculated with HRV-A16, and nasal epithelial samples were obtained 7 days before, 36 hours after, and 7 days after viral inoculation. RNA was extracted and subjected to RNA-seq analysis. Results: At baseline, 57 genes were differentially expressed between asthmatics and controls, and the asthmatics had decreased expression of viral replication inhibitors and increased expression of genes involved in inflammation. At 36 hours (before the emergence of peak symptoms), 1329 genes were significantly altered from baseline in the asthmatics compared to 62 genes in the controls. At this time point, asthmatics lacked an increase in IL-10 signaling observed in the controls. At 7 days following HRV inoculation, 222 genes were significantly dysregulated in the asthmatics, whereas only 4 genes were dysregulated among controls. At this time point, the controls but not asthmatics demonstrated upregulation of SPINK5. Conclusions: As judged by the magnitude and persistence of dysregulated genes, asthmatics have a substantially different host response to HRV-A16 infection compared with non-asthmatic controls. Gene expression differences illuminate biologically plausible mechanisms that contribute to a better understanding of the pathogenesis of HRV-induced asthma exacerbations.

ORGANISM(S): Homo sapiens

PROVIDER: GSE97668 | GEO | 2017/05/26

SECONDARY ACCESSION(S): PRJNA382595

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Rhinovirus-induced modulation of gene expression in bronchial epithelial cells from subjects with asthma

2008-11-01 | GSE13396 | GEO

Transcription profiling of human bronchial epithelial cells from normal and asthmatic individuals to investigate rhinovirus-induced modulation of gene expression

Project description:Human Rhinovirus (HRV) infection can trigger exacerbations of asthma. Understanding of the mechanisms provoking airway inflammation and remodeling in asthma, as well as the pathogenic mechanisms of HRV infection and its association with asthma exacerbations, may offer significant opportunities for improved disease management. Genome-wide expression analysis of HRV type 1A-infected primary bronchial epithelial (PBE) cells from normal and asthmatic donors was performed to determine whether asthma is associated with a unique pattern of gene expression after HRV infection in vitro. Experiment Overall Design: Frozen stocks of human PBE cells obtained from the bronchial brushings of six normal and five asthmatic individuals were grown in vitro in Bronchial Epithelial Growth Media (BEGM, Lonza). Subconfluent monolayers of PBE cells were infected with purified and concentrated minor group HRV serotype 1A at multiplicity of infection of 10 plaque forming units (pfu) per cell or mock-infected with growth media alone. Cells were lysed 16 hours post infection (p.i.) and isolated total RNAs were analyzed using the Human Genome U133 Plus 2.0 GeneChip arrays (Affymetrix, Santa Clara, CA).

2008-11-13 | E-GEOD-13396 | biostudies-arrayexpress

Human rhinovirus infection causes different DNA methylation changes in nasal epithelial cells from healthy and asthmatic subjects

Project description:Background: Mechanisms underlying the development of virus-induced asthma exacerbations remain unclear. Objective: To investigate if epigenetic mechanisms could be involved in virus-induced asthma exacerbations, we undertook DNA methylation profiling in asthmatic and healthy nasal epithelial cells (NECs) during Human Rhinovirus (HRV) infection in vitro. Methods: Global and loci-specific methylation profiles were determined via Alu element and Infinium Human Methylation 450K microarray respectively. Principal components analysis identified the genomic loci influenced the most by disease-status and infection. Real-time PCR and pyrosequencing was used to confirm gene expression and DNA methylation respectively. Results: Global methylation was increased in Asthmatics during infection. Disease status and virus infection influenced the methylation of 389 loci. Healthy and asthmatic NECs were characterized predominately by methylation profiles and patterns in loci that were not influenced by virus infection. However, both groups also exhibited distinct DNA methylation profiles in response to infection. Despite these differences, we found that the methylation of small nucleolar RNA, H/ACA box 12 (SNORA12) was common during infection. Further analysis indicated a relationship existed between SNORA12 DNA methylation and gene expression in response to infection. Conclusions: Findings from our study indicate that in addition to the well described phenotypic and genomic differences, the airway epithelium of asthmatics is characterized by a distinct methylome and that epigenetic mechanism may contribute to the development of virus-induced asthma exacerbations. Bisulphite converted DNA from matched mock and human rhinovirus-16 infected nasal epithelial cells from Healthy (n=3) and Asthmatics (n=6) adults were hybridized to the Illumina DNA methylation 450K Bead Array.

2014-07-28 | E-GEOD-52074 | biostudies-arrayexpress

Human rhinovirus infection causes different DNA methylation changes in nasal epithelial cells from healthy and asthmatic subjects

2014-07-28 | GSE52074 | GEO

The crucial role of CPT2 in the asthmatic bronchial smooth muscle remodeling

Project description:Asthma is a very frequent airway disease that affects 6 to 20% of the population. Severe asthma, represents 3 to 5% of all asthmatic patients and is histologically characterized by an increased bronchial smooth muscle (BSM) mass and clinically by viral exacerbations. Functionally, BSM remodeling had a poor prognostic value in asthma, since higher BSM mass was associated with lower lung function and increased exacerbation rate. However, the role of BSM as a potential actor of asthma exacerbation has only been sparsely suggested. Thus, we hypothesis that asthmatic BSM cell metabolism is modified compare to that of non-asthmatic and that could be a potential target to reduce asthmatic BSM cell proliferation and remodeling in asthma.

2021-06-10 | PXD015566 | Pride

Virograms for prediction of predisposition to asthma exacerbation

Project description:Background: Clinical transcriptomics of peripheral blood mononuclear cells (PBMC) are coming into focus as a surrogate approach for prognosis, diagnosis, biomarker discovery and examination disease mechanisms. However, bioassays paired with transcriptomic analytic tools are yet to be developed and made available at point of care. Harnessing personal dynamic genomic responses to tailor patient asthma treatment or prevent disease exacerbations remain unmet medical needs. Method: We developed a rhinovirus-stimulated peripheral blood based-assay (virogram assay) coupled with single-subject analytics (N-of-1-patwhays) to capture dynamic genome-wide expression and dysregulated pathways to retrospectively predict childhood asthma exacerbation. We hypothesized that some genomic factors might predispose any given individual, healthy or asthmatic, to a set of similar transcriptional responses to rhinovirus stimulation. We first generated a classifier from paired sample microarrays, control and stimulated PBMC from healthy subjects and applied this classifier on the transcriptomic analysis of control and HRV-stimulated PBMC samples (virogram assay) from children with asthma. Results: The analysis of the different genomic responses of single-subject paired PBMC samples (HRV-stimulated and control) derived from healthy individuals (external dataset) enabled the discovery of dysregulated pathways related to acquired immunity, epigenetics and morphogenesis. The classifier built on these results and applied on the transcriptional analysis derived from the virogram assay predicted that the risk of asthma exacerbation among asthmatic subjects with an accuracy of 70%. Conclusion: We provide evidence that clinical prognosis can be predicted with a PBMC based-bioassay aligned with adequate single-subject analytics to assess dynamic transcriptomic response to specific disease-associated stimuli.

2016-05-01 | GSE68479 | GEO

DECREASED FIBRONECTIN PRODUCTION SIGNIFICANTLY CONTRIBUTES TO DYSREGULATED REPAIR OF ASTHMATIC EPITHELIUM

Project description:Rationale: Damage to airway epithelium is followed by deposition of extracellular matrix (ECM) and migration of adjacent epithelial cells. We have shown that epithelial cells from asthmatic children fail to heal a wound in vitro. Objectives: To determine whether dysregulated ECM production by the epithelium plays a role in aberrant repair in asthma. Methods: Airway epithelial cells (AEC) from children with asthma (n=36), healthy atopic (n=23) and healthy non-atopic controls (n=53) were investigated by microarray, gene expression and silencing, transcript regulation analysis and ability to close mechanical wounds. Results: Wound repair of AEC from healthy and atopic children were not significantly different and were both faster than AEC from asthmatics. Microarray analysis revealed differential expression of multiple gene sets associated with repair and remodeling in asthmatic AEC. Fibronectin (FN) was the only ECM component whose expression was significantly lower in asthmatic AEC. Expression differences were verified by qPCR and ELISA, and reduced FN expression persisted in asthmatic cells over passage. Silencing of FN expression in non-asthmatic AEC inhibited wound repair, while addition of FN to asthmatic AEC restored reparative capacity. Asthmatic AEC failed to synthesize FN in response to wounding or cytokine/growth factor stimulation. Exposure to 5â, 2âdeoxyazacytidine had no effect on FN expression and subsequent analysis of the FN promoter did not show evidence of DNA methylation. Conclusions: These data show that the reduced capacity of asthmatic epithelial cells to secrete FN is an important contributor to the dysregulated AEC repair observed in these cells. 16 arrays, 2 experimental groups, asthma atopic, AA, and healthy non-atopic, HN.

2010-04-12 | E-GEOD-18965 | biostudies-arrayexpress

A model of human asthma exacerbation identifies novel transcriptional programs and pathogenic cell circuits in the lower airway mucosa specific to allergic asthma

Project description:Using a human model of asthma exacerbation, we compared the airway mucosa in allergic asthmatics and allergic non-asthmatic controls using single-cell RNA-sequencing frameworks. In response to allergen challenge, the airway epithelium in asthmatics was highly dynamic and upregulated genes involved in matrix degradation, mucus metaplasia, and glycolysis while failing to induce injury-repair and antioxidant pathways observed in controls. Asthmatics also had a unique mucosal immune profile, characterized by IL9-expressing pathogenic TH2 cells and enrichment of DC2 (CD1C) and CCR2-expressing monocyte-derived cells (MC) after allergen, with upregulation of genes that promote pathologic airway remodeling. In contrast, controls were enriched for macrophage-like MC that upregulated tissue repair programs after allergen challenge, suggesting these populations may protect against asthmatic airway remodeling. These findings reveal a novel TH2-mononuclear phagocyte-epithelial interactome unique to asthmatics, suggesting that pathogenic effector circuits and the absence of pro-resolution programs drive structural airway disease in response to type 2 inflammation.

2023-02-24 | GSE193816 | GEO

Severe asthmatic bronchial smooth muscle decreases epithelial response to rhinovirus infection.

Project description:Asthma is a very frequent airway disease that affects 6 to 20% of the population. Severe asthma, represents 3 to 5% of all asthmatic patients and is histologically characterized by an increased bronchial smooth muscle (BSM) mass and clinically by viral exacerbations. Functionally, BSM remodeling had a poor prognostic value in asthma, since higher BSM mass was associated with lower lung function and increased exacerbation rate. However, the role of BSM as a potential actor of asthma exacerbation has only been sparsely suggested. We thus hypothesis that asthmatic BSM cells could act on bronchial epithelium and modified its response to rhinovirus infection.

2023-05-02 | PXD015604 | Pride

Phenotypic responses of differentiated asthmatic human airway epithelial cultures to rhinovirus

Project description:We report the application of RNA sequencing technology for high-throughput profiling of gene expression responses to human rhinovirus infection at 24 hours in air-liquid interface human airway epithelial cell cultures derived from 6 asthmatic and 6 non-asthmatic donors. RNA-seq analysis identified sets of genes associated with asthma specific viral responses. These genes are related to inflammatory pathways, epithelial remodeling and cilium assembly and function, including those described previously (e.g. CCL5, CXCL10 and CX3CL1), and novel ones that were identified for the first time in this study (e.g. CCRL1, CDHR3). We concluded that air liquid interface cultured human airway epithelial cells challenged with live HRV are a useful in vitro model for the study of rhinovirus induced asthma exacerbation, given that our findings are consistent with clinical data sets. Furthermore, our data suggest that abnormal airway epithelial structure and inflammatory signaling are important contributors to viral induced asthma exacerbation. Differentiated air-liquid interface cultured human airway epithelial cell mRNA profiles from 6 asthmatic and 6 non-asthmatic donors after 24 hour treatment with either HRV or vehicle control were generated by deep sequencing, using Illumina HiSeq 2000.

2015-03-01 | E-GEOD-61141 | 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