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• W83600071 abstract "The next-generation sequencing technology allows identification and cataloging of almost all mRNAs, even those with only one or a few transcripts per cell. To understand the chemotherapy response program in ovarian cancer cells at deep transcript sequencing levels, we applied two next-generation sequencing technologies to study two ovarian chemotherapy response models: the in vitro acquired cisplatin-resistant cell line model (IGROV-1-CP and IGROV1) and the in vivo ovarian cancer tissue resistant model. We identified 3,422 signatures (2,957 genes) that are significantly differentially expressed between IGROV1 and IGROV-1-CP cells (P < .001). Our database offers the first comprehensive view of the digital transcriptomes of ovarian cancer cell lines and tissues with different chemotherapy response phenotypes.Key wordsOvarian cancerGene expressionNext-generation sequencingRNA-seqCufflinksSAMtools" @default.
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• W83600071 date "2013-01-01" @default.
• W83600071 modified "2023-10-16" @default.
• W83600071 title "Deep Transcriptome Profiling of Ovarian Cancer Cells Using Next-Generation Sequencing Approach" @default.
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• W83600071 doi "https://doi.org/10.1007/978-1-62703-547-7_12" @default.
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