Project description:Viral infection has a great impact on cellular expression profile of non-coding RNAs and genes. By microarray screening, our study identified 79 long non-coding RNAs (lncRNAs) and 140 mRNAs that were differentially expressed in human lung epithelial A549 cells infected with Zika virus (ZIKV). The bioinformatics analysis indicated that many differentially expressed lncRNAs were located in same chromosome as the differentially expressed mRNAs; and these lncRNAs and mRNAs were involved in the host responses to viral infection, including the innate immune response.
Project description:We examined the transcriptome (polyA+ RNAseq) of parental or ATF3 knock-out A549 lung epithelial adenocarcinoma cell lines in response to either a mock infection or infection with ZIKV.
Project description:Because zika virus is sexually transmitted, with sought to investigate how ZIKV infection affect the transcriptome of sertoli cells, which are nurse cells
Project description:Glioma stem cells derived from patient samples were infected with ZIKV at MOI of 1 for 48hrs, total RNA was extracted and deep sequenced to compare the gene expression profiles between mock and ZIKV infected cells
Project description:Zika virus (ZIKV), a re-emerging flavivirus is associated with devastating developmental and neurological disease outcomes particularly in infants infected in utero. Towards understanding the molecular underpinning of the unique ZIKV disease pathologies, numerous transcriptome-wide studies have been undertaken. Notably, these studies have overlooked the assimilation of RNA-seq analysis from ZIKV-infected patients with cell culture and cell model systems. We determined that ZIKV-infection in human lung adenocarcinoma A549 cells, mirrored both transcriptional and alternative splicing profiles from previously published RNA-seq data of peripheral blood mononuclear cells collected from pediatric patients during early, late acute, and convalescent phases of ZIKV infection. Our analyses show that ZIKV infection in cultured cells correlates with transcriptional changes in patients, while the overlap in alternative splicing profiles was not as extensive. Overall, our data indicate that cell culture model systems support dissection of select molecular changes detected in patients and established the foundation for future studies elucidating the biological implications of alternative splicing during ZIKV infection.
Project description:Although accumulating evidence has shown that long non-coding RNAs (lncRNAs) are involved in multiple biological processes, considerably less is known regarding their functions in influenza A virus (IAV) replication. Here, lncRNA expression profiles were determined by RNA sequencing in three pairs of influenza virus A/Puerto Rico/8/34 (H1N1)-infected or uninfected A549 cells.