Project description:The purpose is to obtain samples for microRNA analysis in human U937 cells infected with Zaire Ebola virus wild-type in the ΔVP30 background and Δmucin virus.
Project description:Analysis of microRNA expression patterns in cytomegalovirus infected human fibroblasts for two cultures with differing sensitivity to the virus
Project description:The purpose is to obtain samples for mRNA analysis in human U937 cells infected with Zaire Ebola virus wild-type in the ΔVP30 background and Δmucin virus.
Project description:The purpose is to obtain samples for mRNA analysis in human U937 cells infected with Zaire Ebola virus wild-type in the deltaVP30 background and delta-mucin virus. Human U937 cells (monocyte-like) expressing the Ebola VP30 protein were infected with Zaire Ebola virus wild-type (wild) in the delta-VP30 background and delta-mucin virus (encodes a GP lacking the mucin domain) (mucin). Infected samples were collected in quintuplet; time-matched mocks were collected in quintuplet in parallel with infected samples. Time points: 0, 8, 18, and 30 h post-infection.
Project description:propose: The goals of this study are viral transcript of host cells infected with shaan virus and host cell responses in HEK293, A549 and HRT18 infected with shaan virus. Methods: We infected the virus at an MOI of 0.5 to human tissues-derived cell lines including HEK-293, A549 and HRT18. The infected cells were harvested at 24 hours post infection, and a total RNA was extracted from the harvested cells with Trizol LS reagent. The trimmed reads were mapped to shaan virus genome or GRCh37 human genomic DNA reference. The differentially expressed genes (DEGs) between the virus-infected and mock-infected cells were calculated based on the fold changes of FPKM per each gene. Result: Viral transcripts were expressed differentially depending on the viral genes, it is obvious that the nucleocapsid (N) transcript was most expressed in all infected cells. Gene ontology enrichment analysis based on the DEGs revealed that HEK-293, A549 and HRT18 cells highly expressed the genes related to the antiviral defence system and innate immune response in response to the shaan virus infection. Conclusion: In this study, we describe transcriptome data from the shaan virus-infected cells. The inferred DEGs and their related biological functions can be further investigated to understand the shaanvirus-host interaction.
Project description:Analysis of gene expression patterns in cytomegalovirus infected human fibroblasts for two cultures with differing sensitivity to the virus
Project description:RNAseq analysis of human lung tissue explants infected with Influenza B virus Results: Differentially expressed genes after infection Project: Hulu_FluB_2022
Project description:Zika virus (ZIKV) is a mosquito-borne +ssRNA virus that can cause abnormal development in human fetal central neuron system and even lead to stillbirth. Despite the popularity of studies in this area recently, there is currently still no sufficient treatment for it. Knowledge on how ZIKV infection impact human metabolisms is still lacking. Untargeted metabolomics can profile the overall change in metabolites after infection, thus provide hypothesis for specific investigations. We here performed a Nuclear Magnetic Resonance spectroscopy (NMR)-based untargeted case-control metabolomics study on urine of ZIKV-infected pregnant women. We collected samples monthly from the first trimester till up to 6 months of ZIKV-infected and non-infected individuals and modelled the longitudinal data. We identified 3-aminoisobutyrate and trigonelline with significantly higher levels in the ZIKV-infected patients, while 11 metabolites (fucose, 2-hydroxyglutarate, N-acetyl-glutamine, dimethylamine, 4-hydroxyphenethyl alcohol, creatinine, lactate, threonine, histidine, pseudouridine, and 1-methylnicotinamide) had significantly lower levels. We also identified 2 metabolites, including glucose and 1-methylnicotinamide, where the trends over time of the intensity levels between the two groups were significantly different. These metabolites suggested further study on tryptophan, NAD+, pyrimidine, and glucose metabolisms. These metabolomic changes may lead us to a better understanding of mechanisms that cause poor fetal outcomes as well as effects of virus infection on human pregnancy.
