Gene expression analyses of ovarian clear cell cancer cell lines. Homo sapiens

A variety of human cancers demonstrate alterations in microRNA expression. We hypothesized that regulatory defects in microRNAs play a central early role in organizing the molecular changes involved in ovarian cancer (OvCa). Using both gene arrays and deep sequencing, we comprehensively profiled mRNA and microRNA expression, respectively, in human clear cell epithelial OvCa cell lines and short-term primary cultures of normal ovarian surface epithelium. We expected that over-expression of a specific microRNA would lead to lower expression of its mRNA targets, and under-expression of a specific microRNA would lead to higher expression of its target genes. Using our expression data in conjunction with established in silico algorithms, we found putative microRNA:mRNA functional pairs. Keywords: two group comparison; gene expression profiling Overall design: We generated gene expression profiles of a panel of ten OvCa clear cell cell lines, along with six independent normal ovarian surface epithelium (NOSE) cultures.

多种人类癌症均存在微小RNA（microRNA）表达异常。我们提出假说：微小RNA的调控异常在卵巢癌（OvCa）相关分子改变的早期阶段发挥核心调控作用。本研究分别采用基因芯片与深度测序技术，全面检测了人透明细胞上皮性卵巢癌细胞系及正常卵巢表面上皮短期原代培养物中的信使RNA（mRNA）与微小RNA表达谱。我们预期，特定微小RNA的过表达会导致其靶信使RNA表达下调，而特定微小RNA的低表达则会使其靶基因表达上调。本研究结合表达谱数据与已成熟的计算预测算法，筛选得到了潜在的微小RNA:信使RNA功能配对关系。关键词：两组比较；基因表达谱分析。整体实验设计：本研究构建了包含10株卵巢透明细胞癌细胞系以及6株独立的正常卵巢表面上皮（NOSE）培养物的基因表达谱数据集。