Laboratory of Molecular Pharmacology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Mol Cancer Ther. 2010 May;9(5):1080-91. doi: 10.1158/1535-7163.MCT-09-0965. Epub 2010 May 4.
As part of the Spotlight on Molecular Profiling series, we present here new profiling studies of mRNA and microRNA expression for the 60 cell lines of the National Cancer Institute (NCI) Developmental Therapeutics program (DTP) drug screen (NCI-60) using the 41,000-probe Agilent Whole Human Genome Oligo Microarray and the 15,000-feature Agilent Human microRNA Microarray V2. The expression levels of approximately 21,000 genes and 723 human microRNAs were measured. These profiling studies include quadruplicate technical replicates for six and eight cell lines for mRNA and microRNA, respectively, and duplicates for the remaining cell lines. The resulting data sets are freely available and searchable online in our CellMiner database. The result indicates high reproducibility for both platforms and an essential biological similarity across the various cell types. The mRNA and microRNA expression levels were integrated with our previously published 1,429-compound database of anticancer activity obtained from the NCI DTP drug screen. Large blocks of both mRNAs and microRNAs were identified with predominately unidirectional correlations to approximately 1,300 drugs, including 121 drugs with known mechanisms of action. The data sets presented here will facilitate the identification of groups of mRNAs, microRNAs, and drugs that potentially affect and interact with one another.
作为“分子剖析聚焦系列”的一部分,我们使用 Agilent 全人类基因组寡核苷酸微阵列(41,000 探针)和 Agilent 人类 microRNA 微阵列 V2(15,000 个特征),为美国国立癌症研究所(NCI)发展治疗计划(DTP)药物筛选(NCI-60)中的 60 个细胞系呈现新的 mRNA 和 microRNA 表达剖析研究。大约 21,000 个基因和 723 个人类 microRNA 的表达水平被测量。这些剖析研究包括分别针对 mRNA 和 microRNA 的六个和八个细胞系的四重技术重复,以及其余细胞系的重复。产生的数据集可在我们的 CellMiner 数据库中免费在线搜索和查询。结果表明,两个平台的重现性都很高,并且各种细胞类型之间具有基本的生物学相似性。mRNA 和 microRNA 的表达水平与我们之前发表的 1,429 种抗癌活性化合物数据库进行了整合,这些化合物是从 NCI DTP 药物筛选中获得的。大量的 mRNA 和 microRNA 被鉴定为与大约 1,300 种药物具有主要的单向相关性,其中包括 121 种具有已知作用机制的药物。本文呈现的数据集将有助于识别可能相互影响和相互作用的 mRNA、microRNA 和药物组。