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DNA微阵列分析的临床应用。

Clinical applications of DNA microarray analysis.

作者信息

Dudda-Subramanya Raghunandan, Lucchese Guglielmo, Kanduc Darja, Sinha Animesh A

机构信息

Department of Dermatology, Weill Medical College of Cornell University, New York, NY, USA.

出版信息

J Exp Ther Oncol. 2003 Nov-Dec;3(6):297-304. doi: 10.1111/j.1533-869x.2003.01104.x.

Abstract

Microarray technology provides a revolutionary macro-genetic and bioinformatic-rich platform for understanding human diseases. DNA microarrays facilitate the study of complex diseases, enabling several observations simultaneously that can become foundations for newer hypotheses-shifting us towards a non-reductionist approach to biological phenomenon. This appears of particular value for scientific and clinical dissection of tumor pathologies. Despite the tremendous potential presented by microarray technology for the investigation of disease, concrete insights and advances that translate to the clinical setting are only recently beginning to be tapped. Here, we discuss specific examples of how microarray technology is being integrated into our ever-evolving approach to clinical disease. We focus on molecular strategies for (a) disease classification, (b) disease outcome, and (c) disease mechanisms.

摘要

微阵列技术为理解人类疾病提供了一个具有革命性的、富含宏观遗传学和生物信息学的平台。DNA微阵列有助于对复杂疾病的研究,能够同时进行多项观察,这些观察可成为新假设的基础,使我们朝着对生物现象采用非还原论的方法转变。这对于肿瘤病理学的科学和临床剖析似乎具有特别的价值。尽管微阵列技术在疾病研究方面具有巨大潜力,但转化为临床应用的具体见解和进展直到最近才开始得到挖掘。在此,我们讨论微阵列技术如何被整合到我们不断发展的临床疾病研究方法中的具体实例。我们重点关注用于(a)疾病分类、(b)疾病预后和(c)疾病机制的分子策略。

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