Ontology highlight
ABSTRACT:
PROVIDER: PRJNA153429 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Respiratory viral coinfections pose a substantial global health burden, yet the underlying virus–virus interactions remain incompletely understood. Here, we systematically examined the interplay among influenza A virus (IAV), SARS-CoV-2, and respiratory syncytial virus (RSV) using a reconstituted human airway epithelium model. We monitored viral replication dynamics and host transcriptional responses under both simultaneous and sequential infection conditions.
2026-01-30 | E-MTAB-16265 | biostudies-arrayexpress
Project description:Our understanding of the synergism between S. pneumoniae and influenza virus remains incomplete. The classic dogma has been that influenza attenuates the host innate immunity and increase the susceptibility to subsequent bacterial infection. Therefore, the majority of current studies have been focusing on the interaction of S. pneumoniae and influenza in the context of host cells. By contrast, in this study, we set out to investigate the response of pneumococcus alone to virus infection. Our hypothesis was that prior to causing any damages to host cells, influenza may have induced (lethal) changes to pneumococcus cell itself. Indeed, a very recent evidence has shown that direct viral treatment to pneumococcus will increase its adhesion to macrophage cells. Here, using quantitative shotgun approach, we attempt to investigate the proteomic alterations of S. pneumoniae by influenza virus challenge, and provide a landscape of interactions between the IAV and pneumococcus.
2022-12-09 | PXD016122 | Pride
Project description:In recent years, the roles of microRNAs playing in the regulation of influenza viruses replication caused researchers' much attenion. However, much work focused on the interactions between human, mice or chicken microRNAs with human or avian influenza viruses rather than the interactions of swine microRNAs and swine influenza viruses. To investigate the roles of swine microRNAs playing in the regulation of swine influenza A virus replication, the microRNA microarray was performed to identify which swine microRNAs were involved in swine H1N1/2009 influenza A virus infection.
2017-03-24 | GSE96953 | GEO
Project description:Virus and host factors contribute to cell-to-cell variation in viral infection and determine the outcome of the overall infection. However, the extent of the variability at the single cell level and how it impacts virus-host interactions at a systems level are not well understood. To characterize the dynamics of viral transcription and host responses, we used single-cell RNA sequencing to quantify at multiple time points the host and viral transcriptomes of human A549 cells and primary bronchial epithelial cells infected with influenza A virus. We observed substantial variability of viral transcription between cells, including the accumulation of defective viral genomes (DVGs) that impact viral replication. We show a correlation between DVGs and viral-induced variation of the host transcriptional program and an association between differential induction of innate immune response genes and attenuated viral transcription in subpopulations of cells. These observations at the single cell level improve our understanding of the complex virus-host interplay during influenza infection.
2019-12-10 | GSE118773 | GEO
Project description:Infection with a single influenza A virus (IAV) is only rarely sufficient to initiate productive infection. Here, we exploit both single cell approaches and whole-animal systems to show that the extent of IAV reliance on multiple infection varies with virus strain and host species. Influenza A/guinea fowl/HK/WF10/99 (H9N2) [GFHK99] virus exhibits strong dependence on collective interactions in mammalian systems. This reliance focuses viral progeny production within coinfected cells and therefore results in frequent genetic exchange through reassortment. In contrast, GFHK99 virus has greatly reduced dependence on multiple infection in avian systems, indicating a role for host factors in viral collective interactions. Genetic mapping implicated the viral polymerase as a major driver of multiple infection dependence. Mechanistically, quantification of incomplete viral genomes showed that their complementation only partly accounts for the observed reliance on coinfection. Indeed, even when all polymerase components are detected in single cell mRNA sequencing, robust polymerase activity of GFHK99 virus in mammalian cells is reliant on multiple infection. In sum, IAV collective interactions not only augment reassortment, but can also overcome species-specific barriers to infection. These findings underscore the importance of virus-virus interactions in IAV infection, evolution and emergence. We used a single-cell sequencing platform (10x Genomics) to elucidate the differential infection rate of an avian influenza A virus on an avian cell line (DF1) and a mammalian (MDCK) cell line. Our work on IAV reassortment has raised new questions about the fundamental strategies that drive influenza virus evolution. Our data indicate that a large majority of influenza virus genomesare incomplete within cells, comprising less than the eight complete segments normally found in a replication competent infectious viral particle. This led us to ask: what underlying mechanisms give rise to incomplete genomes? What constitute an infectious unit? What are the implications for viral diversification, evolution and spread. By addressing these questions, we will advance he field by deepening our understanding how viral infections are initiated and propagated.
2020-06-16 | GSE135553 | GEO
Project description:Influenza A virus is a kind of single negative-stranded RNA virus which belongs to the Orthomyxoviridae family. It can cause localized outbreak or worldwide epidemic in a short time for its great contagiosity, fast spread speed and a wide range of host, and H1N1 influenza virus is a strong pathogenic subtype of influenza A virus. Influenza A virus infection has been shown to alter miRNA expression both in cultured cells and in animal models. We used microRNA microarrays to detail the programme of microRNA expression and identified distinct classes of differentially regulated microRNAs during this process.
2014-10-21 | GSE62495 | GEO
Project description:To investigate the host-pathogen interactions of Streptococcus pneumoniae EF3030 (NZ_CP035897) and Influenza A virus (A/California/07/2009(H1N1)) in the mouse lung. We generated monoinfections and coinfections of C57BL/6 mice, as well as mock infection controls, and harvested whole mouse lung homogenates.
2025-10-31 | GSE294560 | GEO
Project description:We used the microarray data to analyze host cells response on A549 cells infected with Influenza A virus (A/Singapore/478/2009 (pH1N1)) The Influenza A virus (A/Singapore/478/2009 (pH1N1)) infected A549 cells were harvested at 2, 4, 6, 8 and 10 hpi and RNA extraction was performed using standard protocol as described by Affymetrix. The aim of this experiment is to analyze host response to Influenza A virus (A/Singapore/478/2009 (pH1N1)) infection.
2013-01-03 | E-GEOD-31518 | biostudies-arrayexpress
Project description:This study describes how site-specific glycosylation of Influenza A virus changes in response to pressures from the host immune system, thereby allowing the virus to evolve and escape neutralization. We compared the glycosylation patterns of different virus strains as they evolve and correlated this information with changes in biological activity. Furthermore, modelling and molecular dynamics studies were performed to understand the basis for glycan microheterogeneity and interactions of the virions with host-immune molecules.
2016-04-26 | PXD003498 | Pride