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首页> 外文期刊>Advances in enzyme regulation >Functional transcriptomics: An experimental basis for understanding the systems biology for cancer cells
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Functional transcriptomics: An experimental basis for understanding the systems biology for cancer cells

机译：功能转录组学：了解癌细胞系统生物学的实验基础

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摘要

During recent years, microarray platforms have developed into a widely used, reliable and reproducible approach for assessing the activity of all genes in the genome simultaneously. Gene expression patterns or "molecular signatures" were established in relation to complex cellular phenotypes and diseases. Molecular signatures are helpful for elucidating novel mechanisms of disease pathogenesis and are beginning to show a significant impact on the development of novel diagnostic procedures. Expression profiling data were correlated with distinct tumor classes and stages (Golub et al., 1999; Garber et al., 2001). Most importantly, molecular signatures were identified that are capable of predicting the response to cancer therapy as well as clinical prognosis (West et al., 2001; van't Veer et al., 2002).
机译：近年来，微阵列平台已发展成为一种广泛使用，可靠且可重现的方法，可同时评估基因组中所有基因的活性。建立了与复杂细胞表型和疾病有关的基因表达模式或“分子特征”。分子标记有助于阐明疾病发病机理的新机制，并开始对新型诊断程序的开发产生重大影响。表达谱数据与不同的肿瘤类别和阶段相关（Golub等，1999; Garber等，2001）。最重要的是，鉴定出能够预测对癌症治疗反应和临床预后的分子标记（West等，2001; van't Veer等，2002）。

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