Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomics profile of human bronchial epithelial cells exposed to influenza virus (H3N2) and ambient fine particles

ABSTRACT: Fine particulate matter (PM2.5) pollution remains a major threat to public health. As the physical barrier against inhaled air pollutants, airway epithelium is a primary target for PM2.5 and influenza viruses, two major environmental insults. Recent studies have shown that PM2.5 and influenza viruses may interact to aggravate airway inflammation, an essential event in the pathogenesis of diverse pulmonary diseases. Airway epithelium plays a critical role in lung health and disorders. Thus far, the mechanisms for the interactive effect of PM2.5 and the influenza virus on gene transcription of airway epithelial cells have not been fully uncovered. In this present pilot study, the transcriptome sequencing approach was introduced to identify responsive genes following individual and co-exposure to PM2.5 and influenza A (H3N2) viruses in a human bronchial epithelial cell line (BEAS-2B). Enrichment analysis revealed the function of differentially expressed genes (DEGs). Specifically, the DEGs enriched in the xenobiotic metabolism by the cytochrome P450 pathway were linked to PM2.5 exposure. In contrast, the DEGs enriched in environmental information processing and human diseases, such as viral protein interaction with cytokines and cytokine receptors and epithelial cell signaling in bacterial infection, were significantly related to H3N2 exposure. Meanwhile, this study found that co-exposure to PM2.5 and H3N2 may affect G protein-coupled receptors on the cell surface by modulating Ca2+. Thus, the results from this study provides insights into PM2.5- and influenza virus-induced airway inflammation and potential mechanisms

ORGANISM(S): Homo sapiens

PROVIDER: GSE244959 | GEO | 2023/11/15

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptome analysis to investigate COPD exacerbations to influenza infection

Project description:Lung infection by influenza A viruses is a common cause of disease exacerbations in patients with chronic obstructive pulmonary disease (COPD), however, this process is difficult to study in human patients. Here we used a microfluidic human lung airway-on-a-chip (Airway Chip) lined by primary human bronchial epithelium interfaced with primary human pulmonary microvascular endothelium to model this process in vitro. Airway Chips containing bronchial epithelial cells from COPD patients successfully replicated the increased sensitivity to the lung airway to infection by both influenza H1N1 and H3N2 viruses compared to chips lined by epithelium from healthy donors, including enhanced viral loads and increased production of inflammatory cytokines. Transcriptomics analysis of the healthy and COPD epithelium following infection with influenza H1N1 virus on-chip resulted in identification of several novel markers of COPD

2022-04-01 | GSE186908 | GEO

Gene expression in Calu-3 cells after influenza H3N2 and H11N9 infection

Project description:Airway epithelial cells are the initial site of infection with influenza viruses. The innate immune responses of airway epithelial cells to infection have the potential to limit virus replication and induce effective adaptive immune responses. However, relatively little is known about the importance of this innate anti-viral response to infection. Avian influenza viruses are a potential source of future pandemics, therefore it is critical to examine the effectiveness of the host anti-viral system to different influenza viruses. We used a human influenza (H3N2) and a low pathogenic avian influenza (H11N9) to assess and compare the anti-viral responses of bronchial epithelial cells (BECs). After infection, the H3N2 virus replicated more effectively than the H11N9 strain in BECs. This was not due to differential expression of different sialic acid residues on BECs but was attributed to the interference of the host anti-viral responses by H3N2. The H3N2 strain induced a delay in anti-viral signaling and impaired release of type I and type III interferons (IFNs) compared to the H11N9 virus. We then transfected the gene encoding for non-structural (NS) 1 protein into the BECs and the H3N2 NS1 induced a greater inhibition of anti-viral responses compared to the H11N9 NS1. While the low pathogenic avian influenza virus was capable of infecting BECs, the human influenza virus replicated more effectively than avian influenza virus in BECs and this may be at least in part due to a differential ability of the two NS1 proteins to inhibit anti-viral responses. This suggests that the subversion of human anti-viral responses may be an important requirement for influenza viruses to adapt to the human host and induce disease.

2009-12-19 | GSE19580 | GEO

Genome-wide analysis reveals mucociliary remodeling of the airway epithelium induced by PM2.5

Project description:Air pollution particulate matter <2.5 microns (PM2.5) is associated with poor respiratory outcomes. Mechanisms underlying PM2.5-induced lung pathobiology are poorly understood, but likely involve cellular and molecular changes to the airway epithelium. We extracted and chemically characterized the organic and water-soluble components of contemporary ambient air pollution PM2.5 samples. We then determined the whole transcriptome responses of human mucociliary airway epithelial cultures (n=12) to a dose series of PM2.5 extracts. We found PM2.5 organic, but not water-soluble, constituents elicited a potent, dose-dependent transcriptomic response from the mucociliary epithelium. Epithelial exposure to a moderate organic extract (OE) dose modified the expression of 424 genes, which included activation of aryl-hydrocarbon receptor (AHR) signaling and an interleukin-1 inflammatory program. We generated an OE response network composed of 8 metagroups, which exhibited high connectivity through the CYP1A1, IL1A, and IL1B genes. This OE exposure also robustly activated a mucus secretory expression program (>100 genes), which included transcriptional drivers of mucus metaplasia (SPDEF, FOXA3). Exposure to a higher OE dose modified the expression of 1,240 genes and further exacerbated expression responses observed at the moderate dose, including the mucus secretory program. Moreover, the higher OE dose significantly increased the MUC5AC/MUC5B gel-forming mucin expression ratio and strongly downregulated ciliated cell expression programs, including key ciliating cell transcription factors (FOXJ1, MCIDAS). Our results suggest organic chemicals in PM2.5 likely drive cellular remodeling of the airway epithelium, punctuated by mucus metaplasia and loss of ciliated cells. This epithelial remodeling may underlie poor respiratory outcomes associated with high PM2.5 exposure.

2020-04-10 | GSE144770 | GEO

Host microRNA molecular signatures associated with human H1N1 and H3N2 influenza A viruses

Project description:In this study, we performed a miRNA global profiling in human lung epithelial cells (A549) infected by two different subtypes of human influenza A viruses (H1N1 and H3N2).

2013-04-03 | GSE42003 | GEO

Ambient Pollution Related Reprogramming of the Human Small Airway Epithelial Transcriptome

Project description:Epidemiological studies have demonstrated that exposure to particulate matter (PM) ambient pollution has adverse effects on lung health, exacerbated by cigarette smoking. Fine airborne particles <2.5 µm (PM2.5) are the most harmful of the urban pollutants, and the most closely linked to respiratory disease. Based on the knowledge that the small airway epithelium (SAE) plays a central role in pathogenesis of smoking-related lung disease, we hypothesized that elevated PM2.5 levels are associated with dysregulation of SAE gene expression.

2018-06-19 | GSE108134 | GEO

Transcriptomic Profiling of Human Corneal Epithelial Cells Exposed to Airborne Fine Particulate Matter (PM2.5)

Project description:Objectives: To explore the molecular mechanisms of PM2.5-induced dysfunction in human corneal epithelial cells (HCECs). Methods: RNA-Seq was performed to identify the differentially expressed genes (DEGs) in PM2.5-exposed HCECs compared to unexposed condition, which was followed by validation via real-time PCR (qRT-PCR). Results: A total of 434 DEGs—240 up-regulated and 194 down-regulated—were identified in PM2.5-exposed HCECs rather than unexposed HCECs. The expression of a few genes related to proliferation, inflammation, and aryl hydrocarbon stimulation were significantly altered by PM2.5 exposure, which may contribute to PM2.5-related corneal diseases. Conclusion: The present study identified the altered expression of hundreds of genes in HCECs exposed to PM2.5, which suggests the importance of PM2.5 for cornea health.

2022-08-01 | GSE135262 | GEO

A Systems Approach to Understanding Human Rhinovirus and Influenza Virus Infection

Project description:Human rhinovirus and influenza virus infections of the upper airway lead to colds and the flu and can trigger exacerbations of lower airway diseases including asthma and chronic obstructive pulmonary disease. Despite modest advances in the diagnosis and treatment of infections by these viruses, novel diagnostic and therapeutic targets are still needed to differentiate between the cold and the flu, since the clinical course of influenza can be severe while that of rhinovirus is usually more mild. In our investigation of influenza and rhinovirus infection of human respiratory epithelial cells, we used a systems approach to identify the temporally changing patterns of host gene expression from these viruses. After infection of human bronchial epithelial cells (BEAS-2B) with rhinovirus, influenza virus or co-infection with both viruses, we studied the time-course of host gene expression changes over three days. From these data, we constructed a transcriptional regulatory network model that revealed shared and unique host responses to these viral infections such that after a lag of 4-8 hours, most cell host responses were similar for both viruses, while divergent host cell responses appeared after 24-48 hours. The similarities and differences in gene expression after epithelial infection of rhinovirus, influenza virus, or both viruses together revealed qualitative and quantitative differences in innate immune activation and regulation. These differences help explain the generally mild outcome of rhinovirus infections compared to influenza infections which can be much more severe. Human bronchial epithelial cells (BEAS-2B) were infected with rhinovirus, influenza virus or both viruses and RNAs were then profiled at 10 time points (2, 4, 6, 8, 12, 24, 26, 48, 60 and 72hrs)

2015-12-21 | E-GEOD-71766 | biostudies-arrayexpress

Single cell RNAseq of Influenza A replication kinetics in primary human bronchial epithelial cells

Project description:Influenza viruses pose a significant burden on global human health. Influenza has a broad cellular tropism in the airway, but how infection of different epithelial cell types impacts replication kinetics and burden in the airways is not fully understood. Using primary human airway cultures, which recapitulate the diverse epithelial cell landscape of the human airways, we investigated the impact of cell type composition on virus tropism and replication kinetics. Cultures were highly diverse across multiple donors and 30 independent differentiation conditions and supported a range of influenza replication. Although many cell types were susceptible to influenza, ciliated and secretory cells were predominantly infected. Despite the strong tropism preference for secretory and ciliated cells, which consistently make up 75% or more of infected cells, only ciliated cells were associated with increased virus production. Surprisingly, infected secretory cells were associated with overall reduced virus output. These data highlight the heterogeneous outcomes of influenza virus infections in primary human airway cultures and the disparate impacts of infected cell identity on burst size, even among preferentially infected cell types.

2024-06-25 | GSE247979 | GEO

Gene expression profiling of sorted primary human bronchial epithelial cell populations

2024-06-26 | GSE263356 | GEO

The response of human primary airway epithelial cells to Influenza or RSV infection [hAECs_Agilent].

Project description:To investigate how human airway epithelial cells respond to Influenza or RSV infection, we harvested airway epithelial cells from the mainstream bronchi of human donors and cultured them as previously described (Pickles et al,1998) in a polarized system that resembles the in vivo mucociliary pseudostratified epithelium. Quadruplicate hAEC cultures were infected with 2X105 PFUs Influenza A (Udorn) or with 1x106 PFUs RSV for 2h or mock inoculated and harvested 24h after Influenza infection and 48h after RSV infection. Quadruplicate polarized airway epithelial cell cultures were mock treated or infected with 2x10^5 PFUs of Influenza A (Udorn) for 2h or infected with 1x10^6 PFUs RSV and harvested 24 h post infection for Influenza or 48h post infection for RSV. Total RNA was harvested and gene expression was studied using Genespring GX v7.3.1.

2012-03-12 | E-GEOD-32138 | 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