Project description:Changes in gene expression on MNV infection of RAW264.7 cells RAW264.7 cells were infected with MNV-1 at a multiplicity of infection of 1, or mock infected, for 12 hours
Project description:RAW264.7 macrophages infected with MNV-1 and mock infected gene expression measured by microarray. To be published in Waugh, E. Chen, A. Baird, M. Fleming, S. Brown, C.M. and V K. Ward (2014) Characterization of the chemokine response of RAW264.7 cells to infection by murine norovirus. Virus Genes Four Samples, two mock and two MNV-1 infected.
Project description:RAW264.7 macrophages infected with MNV-1 and mock infected gene expression measured by microarray. To be published in Waugh, E. Chen, A. Baird, M. Fleming, S. Brown, C.M. and V K. Ward (2014) Characterization of the chemokine response of RAW264.7 cells to infection by murine norovirus. Virus Genes
Project description:SILAC- and AHA-labelling analysis of Raw264.7 cells infected with MNV-1 at MOI=10TCID50/cell and harvested at 6.5 and 10.5 hours post infection. AP-MS enrichment of AHA-labelled nascent polypeptides represents the first quantitative neoproteomics analysis of norovirus infected cells.
Project description:This study aimed to generate a comprehensive analysis of changes in the transcriptome following MNV infection. Furthermore, we aimed to perform a differential gene expression analysis between MNV infection and loxoribine (tlr7 agonist) treatment to delineate features of the host modified directly by the MNV as opposed to indirect changes induced through IFN signalling.
Project description:The transcriptome has an abundance of information about the function of individual cells, tissues and an organism in general. Characterising the transcriptome of virus infected cells can illuminate features of the viral-host relationship that are important for pathogenesis. This study broadly aimed to quantify the host gene expression changes that occur following MNV infection. Furthermore, we aimed to identify alterations in specific biological pathways by identifying alterations in transcript abundance that increase or decrease in intensity with MNV infection over time.
Project description:SILAC-labelling analysis of murine BV-2 cells infected at high multiplicity of infection (10 TCID50/cell) and harvested at 4h or 9h post-infection. Represents the first quantitative proteomics analysis of norovirus-infected cells. A paired AP-MS dataset investigates the effects of MNV infection on eukaryotic initiation factor (eIF) complex formation with this dataset providing data on the overall abundance of eIF components in infected cells.
Project description:Murine norovirus (MNV) is genetically similar to human norovirus (HuNoV), and offers both an efficient in vitro cell culture system and animal model by which to investigate the molecular basis of replication. Here, we present a detailed global view of the cellular alterations that occur during the progression of a norovirus infection. The transcriptome of a synchronously infected population of MNV-infected murine macrophage-like cell line (RAW264.7) was determined at 8, 14, and 20 hours post infection. The cellular genetic response was analyzed both globally and by specific pathways. Viral replication was monitored by RNA-seq and quantitative real-time PCR in context of the cellular phenotypic response. The majority of transcriptionally up regulated genes were related to the IFN response. Additionally, there was a global increase in gene transcripts associated with immune response and inflammation. A transcriptional decrease was observed across many cellular processes, but particularly for genes involved in lipid homeostasis and cell cycle. The peak of the transcriptional immune response correlated with detected viral genome copies and changes in cellular phenotype including nuclear condensation. A more complete understanding of host response to norovirus infection will help to highlight the cellular pathways critical for a more effective immune response as well as those that may be exploited by the virus for therapeutic development.
Project description:SILAC-labelling analysis of murine BV-2 cells infected at high multiplicity of infection (10 TCID50/cell) and harvested at 4h or 9h post-infection. Represents the first quantitative proteomics analysis of norovirus-infected cells. A paired AP-MS dataset investigates the effects of MNV infection on eukaryotic initiation factor (eIF) complex formation with this dataset providing data on the overall abundance of eIF components in infected cells. This is a reanalysis of an earlier dataset (PXD004015) performed in Maxquant (v1.5.5.1).