ONCOMINE:: A cancer microarray database and integrated data-mining platform
ONCOMINE:: A cancer microarray database and integrated data-mining platform
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DOI：
10.1016/s1476-5586(04)80047-2
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发表时间：
2004-01-01
期刊：
影响因子：
4.8
通讯作者：
Chinnaiyan, AM
中科院分区：
文献类型：
--
作者：
Rhodes, DR;Yu, JJ;Chinnaiyan, AM
DNA微阵列技术导致了癌基因组分析的爆炸式增长，产生了丰富的数据并揭示了癌症的复杂基因表达模式。不幸的是，由于缺乏统一的生物信息学资源，这些数据中的大多数在出版后停滞不前，并且脱节，癌症研究界大量利用不足。在这里，我们提出了ONCOMINE，癌症微阵列数据库和基于网络的数据挖掘平台，旨在促进发现全基因组表达分析。迄今为止，ONCOMINE包含65个基因表达数据集，包括来自4700多个微阵列实验的近4800万个基因表达测量。比较大多数主要类型的癌症与相应正常组织以及各种癌症亚型的差异表达分析以及基于临床和病理学的分析可用于探索。可以查询和可视化所有分析中选定基因的数据或选定分析中多个基因的数据。此外，基因集可以限于临床上重要的注释，包括分泌的、激酶的、膜的和已知的基因-药物靶标对，以促进新的生物标志物和治疗靶标的发现。
DNA microarray technology has led to an explosion of oncogenomic analyses, generating a wealth of data and uncovering the complex gene expression patterns of cancer. Unfortunately, due to the lack of a unifying bioinformatic resource, the majority of these data sit stagnant and disjointed following publication, massively underutilized by the cancer research community. Here, we present ONCOMINE, a cancer microarray database and web-based data-mining platform aimed at facilitating discovery from genome-wide expression analyses. To date, ONCOMINE contains 65 gene expression datasets comprising nearly 48 million gene expression measurements form over 4700 microarray experiments. Differential expression analyses comparing most major types of cancer with respective normal tissues as well as a variety of cancer subtypes and clinical-based and pathology-based analyses are available for exploration. Data can be queried and visualized for a selected gene across all analyses or for multiple genes in a selected analysis. Furthermore, gene sets can be limited to clinically important annotations including secreted, kinase, membrane, and known gene-drug target pairs to facilitate the discovery of novel biomarkers and therapeutic targets.