PrV latency in the pig host: small-RNAseq data
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Project description:The establishment of PrV latency in the pig host (RNA-seq data)
| PRJEB6754 | ENA
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
2007-12-03 | GSE8676 | 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. 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.
2010-06-25 | E-GEOD-9259 | biostudies-arrayexpress
Project description:Purpose: Evaluation of the m6A modification of PRV and PK15 transcripts during PRV infection Methods: Porcine kidney cell line PK15 was uninfected or infected with PRV for 24 hours. Total RNA from each sample were extracted. Intact mRNA was isolated from total RNA samples and then chemically fragmented to 300-nucleoside-long fragments. Fragmented mRNAs were immunoprecipitated with anti-N6-methyadenosine (m6A) antibody (a part of the fragmented mRNAs was kept as input). Both m6A enriched mRNAs and input mRNAs were concentrated for RNA-seq libraries construction. The libraries were forwarded to sequencing run on Illumina NovaSeq 6000. Results: PRV transcripts were m6A modified during PRV infection and PRV infection changed m6A modification profiles of PK15 transcripts.
2022-11-02 | GSE209949 | GEO
Project description:Circular RNAs (circRNAs) and microRNAs (miRNAs) participate in regulating many biological processes. However, their roles in PrV-II pathogenicity are largely unknown. Here, we analyzed the expression profile of circRNAs and miRNAs in the PrV-DX, a wild-type (WT) strain of PRV-II, and its attenuated gE-TK- PRV-DX infected cells by high-throughput sequencing.
2021-03-24 | GSE139424 | GEO
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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Project description:Identification of Host Biomarkers of EBV Latency IIb and Latency III
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