2014
DOI: 10.1128/jvi.02662-13
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Expression Profile of MicroRNAs in Epstein-Barr Virus-Infected AGS Gastric Carcinoma Cells

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Cited by 84 publications
(91 citation statements)
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References 18 publications
(19 reference statements)
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“…1C). The changes in expression observed predicted that the infected cells would have an increase in proliferation and cell viability and a decrease in apoptosis and cell death, which is consistent with the increased anchorage-independent growth previously observed in these cell lines (4,15). In order to determine whether the transcription changes were caused by a discrete subset of activators and/or repressors, the Ingenuity Pathway Analysis (IPA) software package was used to query possible upstream regulators that could account for these transcription changes.…”
Section: Resultssupporting
confidence: 84%
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“…1C). The changes in expression observed predicted that the infected cells would have an increase in proliferation and cell viability and a decrease in apoptosis and cell death, which is consistent with the increased anchorage-independent growth previously observed in these cell lines (4,15). In order to determine whether the transcription changes were caused by a discrete subset of activators and/or repressors, the Ingenuity Pathway Analysis (IPA) software package was used to query possible upstream regulators that could account for these transcription changes.…”
Section: Resultssupporting
confidence: 84%
“…In order to better understand the effects of latent EBV infection in epithelial cells, RNA-seq was used to obtain a complete transcriptional profile of both uninfected and infected AGS cells. mRNA libraries were generated using the Illumina TruSeq RNA prep kit to obtain libraries from RNA isolated from three preparations of uninfected AGS cells, one EBV-infected cell line obtained that has been previously profiled by microarray (4), and two additional EBV-infected AGS cell lines that have been recently generated (15). Sequence reads generated by paired-end, 100-bp sequencing on the Illumina HiSeq 2000 instrument were aligned to both the human (hg19) and the Akata EBV (KC207813) genomes by using the splicing aware read aligner Tophat.…”
Section: Resultsmentioning
confidence: 99%
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