The use of DNA microarrays to assess clinical samples: the transition from bedside to bench to bedside.

John A Copland, Peter J Davies, Gregory L Shipley, Christopher G Wood, Bruce A Luxon, Randall J Urban
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引用次数: 36

Abstract

The advent of gene array technology brings the ability to classify disease states to the molecular level by examining changes in all mRNAs expressed in cells or tissues. Comparing changes in gene expression patterns between normal and diseased cells and/or tissues has elucidated unique subsets of genes identifiable to a specific disease. Already, new subclassifications of specific cancers have been discovered, belying that genomic profiling can uniquely distinguish a specific disease state and tissue of origin. This technology bestows the ability to examine global changes occurring in a cell or tissue(s), thereby allowing the elucidation of alterations in dysregulated biological, biochemical, and molecular events leading to disease states such as diabetes, hypertension, infertility, obesity, osteoporosis, and atherosclerosis. Furthermore, genomic profiling will lead to new molecular targets for the development of drug therapeutics. Futuristically, one could envision personalized patient therapies based upon identification of specific aberrant signaling pathways that can be targeted for drug therapy.

使用DNA微阵列评估临床样本:从床边到实验室再到床边的过渡。
基因阵列技术的出现通过检查细胞或组织中表达的所有mrna的变化,将疾病状态分类到分子水平的能力。比较正常和患病细胞和/或组织之间基因表达模式的变化已经阐明了特定疾病可识别的独特基因亚群。已经发现了特定癌症的新亚分类,这掩盖了基因组分析可以唯一区分特定疾病状态和起源组织的观点。这项技术赋予了检查细胞或组织中发生的全局变化的能力,从而允许阐明导致疾病状态(如糖尿病、高血压、不孕症、肥胖、骨质疏松和动脉粥样硬化)的失调的生物、生化和分子事件的改变。此外,基因组分析将为药物治疗的发展带来新的分子靶点。未来,人们可以设想基于识别特定异常信号通路的个性化患者治疗,这些信号通路可以靶向药物治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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