PrV latency in the pig host: RNA-seq data
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Project description:The establishment of PrV latency in the pig host (small-RNAseq data)
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Project description:To study in vitro the epithelial cells and PrV interactions during infection, we followed PrV and PK15 cells transcriptome modifications during time-course infection (I) and mock-infection (MI).Six time points were studied: just after I and MI, 1h, 2h, 4h, 8h and 12h post-I and MI. For this study, a pig DNA/cDNA microarray containing genes of the SLA region, additional genes encoding other important immunological molecules and all the PrV genes was constructed. Keywords: infection time course
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Project description:To study in vitro the epithelial cells and PrV interactions during infection, we followed PrV and PK15 cells transcriptome modifications during time-course infection (I) and mock-infection (MI). Four time points were studied: 1h, 2h, 4h and 8h post-I and MI. Four replicates of I and MI were analysed. Keywords: Pig, PrV, Pk15 cells, kinetics
2007-12-01 | GSE9259 | GEO
Project description:To study in vitro the epithelial cells and PrV interactions during infection, we followed PrV and PK15 cells transcriptome modifications during time-course infection (I) and mock-infection (MI). Four time points were studied: 1h, 2h, 4h and 8h post-I and MI. Four replicates of I and MI were analysed. 32 samples - The hybridization scheme which can be define as dye-switch was chosen. A balanced loop design with two independent loops, each loop containing 2 replicates of PrV infection and MI, was used. In total, 32 slides were used in this experiment.
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Project description:Identification of Host Biomarkers of EBV Latency IIb and Latency III
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Project description:Deciphering the molecular pathogenesis of virally induced cancers is challenging due, in part, to the heterogeneity of both viral and host gene expression. Epstein-Barr Virus (EBV) is a ubiquitous herpesvirus prevalent in B-cell lymphomas of the immune suppressed. EBV infection of primary human B cells leads to their immortalization into lymphoblastoid cell lines (LCLs) serving as a model of these lymphomas. In previous studies, our lab has described a temporal model for immortalization with an initial phase characterized by expression of the Epstein-Barr Nuclear Antigens (EBNAs), high c-Myc activity, and hyper-proliferation in the absence of the Latent Membrane Proteins (LMPs), called latency IIb. This is followed by the long-term outgrowth of LCLs expressing the EBNAs along with the LMPs, particularly the NFkB-activating LMP1, defining latency III. LCLs, however, express a broad distribution of LMP1 such that a subset of these cells expresses LMP1 at levels seen in latency IIb, making it difficult to distinguish these two latency states. In this study, we performed mRNA-Seq on early EBV-infected latency IIb cells and latency III LCLs sorted by NFkB activity. We found that latency IIb transcriptomes clustered independently from latency III independent of NFkB. We identified and validated mRNAs defining these latency states. Indeed, we were able to distinguish latency IIb cells from LCLs expressing low levels of LMP1 using multiplex RNA-FISH targeting EBV EBNA2, LMP1, and human CCR7 or MGST1. This study defines latency IIb as a bona fide latency state independent from latency III and identifies biomarkers for understanding EBV-associated tumor heterogeneity
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