Influenza A virus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA297517 | ENA |
REPOSITORIES: ENA
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Project description:A. Esteban Hernandez-Vargas & Michael Meyer-Hermann. Innate Immune System Dynamics to Influenza Virus. IFAC Proceedings Volumes 45, 18 (2012).
The understanding of how influenza virus infection activates the immune system is crucial to designing prophylactic and therapeutic strategies against the infection. Nevertheless, the immune response to influenza virus infection is complex and remains largely unknown. In this paper we focus in the innate immune response to influenza virus using a mathematical model, based on interferon-induced resistance to infection of respiratory epithelial cells and the clearance of infected cells by natural killers. Simulation results show the importance of IFN-I to prevent new infections in epithelial cells and to stop the viral explosion during the first two days after infection. Nevertheless, natural killers response might be the most relevant for the first depletion in viral load due to the elimination of infected cells. Based on the reproductive number, the innate immune response is important to control the infection, although it would not be enough to clear completely the virus. The effective coordination between innate and adaptive immune response is essential for the virus eradication.
2024-09-02 | BIOMD0000000710 | BioModels
Project description:Metabolomics analysis of human tracheobronchial epithelial (HTBE) cells was conducted at multiple time points in response to infection with influenza A/California/04/09 (H1N1) virus or mock infection.
2017-12-06 | MSV000081782 | GNPS
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:Miao2010 - Innate and adaptive immune
responses to primary Influenza A Virus infection
This model is described in the article:
Quantifying the early immune
response and adaptive immune response kinetics in mice infected
with influenza A virus.
Miao H, Hollenbaugh JA, Zand MS,
Holden-Wiltse J, Mosmann TR, Perelson AS, Wu H, Topham DJ.
J. Virol. 2010 Jul; 84(13):
6687-6698
Abstract:
Seasonal and pandemic influenza A virus (IAV) continues to
be a public health threat. However, we lack a detailed and
quantitative understanding of the immune response kinetics to
IAV infection and which biological parameters most strongly
influence infection outcomes. To address these issues, we use
modeling approaches combined with experimental data to
quantitatively investigate the innate and adaptive immune
responses to primary IAV infection. Mathematical models were
developed to describe the dynamic interactions between target
(epithelial) cells, influenza virus, cytotoxic T lymphocytes
(CTLs), and virus-specific IgG and IgM. IAV and immune kinetic
parameters were estimated by fitting models to a large data set
obtained from primary H3N2 IAV infection of 340 mice. Prior to
a detectable virus-specific immune response (before day 5), the
estimated half-life of infected epithelial cells is
approximately 1.2 days, and the half-life of free infectious
IAV is approximately 4 h. During the adaptive immune response
(after day 5), the average half-life of infected epithelial
cells is approximately 0.5 days, and the average half-life of
free infectious virus is approximately 1.8 min. During the
adaptive phase, model fitting confirms that CD8(+) CTLs are
crucial for limiting infected cells, while virus-specific IgM
regulates free IAV levels. This may imply that CD4 T cells and
class-switched IgG antibodies are more relevant for generating
IAV-specific memory and preventing future infection via a more
rapid secondary immune response. Also, simulation studies were
performed to understand the relative contributions of
biological parameters to IAV clearance. This study provides a
basis to better understand and predict influenza virus
immunity.
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2024-09-02 | BIOMD0000000546 | BioModels
Project description:A comparative gene expression analysis was performed using cDNA microarray technology in passage-2 normal human nasal epithelial cells to identify the differentially expressed genes between influenza A virus infected and uninfected cells. Two samples were analyzed. RNA was extracted from normal human nasal epithelial cells, which were further divided as H1N1 PI 0 day and H1N1 PI 2 day (influenza A virus infection for 48 hr).
2013-05-02 | E-GEOD-46567 | biostudies-arrayexpress
Project description:Few studies have examined the local surface remodeling of primary human nasal epithelial cells (HNECs) during viral infection. Hence, the full range of upregulated adhesion molecules during respiratory viral infections that facilitate bacterial attachment and entry remain unknown. Accordingly, the current study provides a comprehensive view of HNEC responses to influenza virus pH1N1 infection, via global proteome profiling of uninfected (Mock, n = 4) and influenza-infected (Virus-only, n = 4) HNECs with isobaric tags using relative and absolute quantitation (iTRAQ) technique. A total of 3583 proteins were detected, 89 of which were significantly increased (52 proteins) or decreased (37 proteins) in the virus-infected HNECs compared to mock-infected controls (p < 0.05).
2024-05-08 | PXD042618 | Pride
Project description:Long non-coding RNAs (lncRNAs) are a new arm of gene regulatory mechanism as discovered by sequencing techniques and follow-up functional studies. There are only few studies on lncRNAs as related to gene expression regulation and anti-viral activity during influenza virus infection. We sought to identify and characterize lncRNAs involved in influenza virus replication. In the current study, we identified dys-regulated lncRNAs in influenza virus-infected human lung epithelial A549 cells using RNA sequencing in A549 cells.
2018-10-12 | GSE121155 | GEO
Project description:Metabolomics analysis of human tracheobronchial epithelial (HTBE) cells was conducted at multiple time points in response to infection with influenza A/California/04/09 (H1N1) virus or mock infection.
2017-12-06 | MSV000081782 | MassIVE
Project description:Human tracheobronchial epithelial (HTBE) cells are considered to serve as a good correlate of influenza virus infection in the human respiratory tract. ChIP-Seq analysis was used to profile histone acetylation (H3K27ac) in HTBE cells at multiple time points in response to infection with influenza A/California/04/09 (H1N1), A/Wyoming/03/03 (H3N2), and A/Vietnam/1203/04 (H5N1) HALo virus. The Influenza A/Vietnam/1203/04 (H5N1) HALo mutant virus is an attenuated H5N1 virus generated from wild-type Influenza A/Vietnam/1203/04 (H5N1) virus as described in Steel, J., et al. J Virol. 2009 Feb; 83(4):1742-53.
2018-12-14 | GSE113702 | GEO
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