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为你排列的基因:微阵列的奇妙世界。

Genes arrayed out for you: the amazing world of microarrays.

作者信息

Chaudhuri Joydeep D

机构信息

Department of Neuroscience and Neurology, Kuopio University, Kuopio, Finland.

出版信息

Med Sci Monit. 2005 Feb;11(2):RA52-62.

Abstract

Microarrays, a recent development, have provided a revolutionary platform for the study of gene expression, regulation and function. Thus, it has tremendous potential in the study of biological processes in health and disease. Notable examples include the identification of regulatory genes in the cell cycle mechanism, and disease causing genes in malignancies and certain neurodegenerative disorders. Therefore, microarray-based studies have provided the necessary impetus for biomedical experiments, particularly following the sequencing of the human genome. However, it must be emphasized that microarrays are not the sole purview of biologists, but represent the amalgamation of the efforts of biomedical scientists, technologists and statisticians. This is particularly considering the challenges in the manufacture of microarrays and supporting equipment, and the meaningful analyses of the tremendous volume of data generated by these experiments. In this article, the principles and technological concerns regarding microarrays and microarray-based experiments, the steps involved in obtaining and the rationale of analyses of data derived from these experiments is reviewed. Further, some aspects of microarray-based experimentation, such as experimental design, and data handling and interpretation are discussed. However, as with all novel methods there is still scope for improvement. The relative merits and demerits of microarrays and analysis of microarray based data are reviewed, along with current issues of concern and future possibilities. Thus, the overall aim of this article is to highlight some of the past and potential future uses of microarray-based experiments and present a broad overview of this rapidly growing technology.

摘要

微阵列是一项最新进展,为基因表达、调控及功能研究提供了一个革命性的平台。因此,它在健康与疾病生物过程的研究中具有巨大潜力。显著的例子包括细胞周期机制中调控基因的鉴定,以及恶性肿瘤和某些神经退行性疾病中致病基因的鉴定。所以,基于微阵列的研究为生物医学实验提供了必要的推动力,尤其是在人类基因组测序之后。然而,必须强调的是,微阵列并非生物学家的专属领域,而是生物医学科学家、技术专家和统计学家共同努力的成果。这尤其体现在微阵列及其配套设备制造过程中所面临的挑战,以及对这些实验产生的海量数据进行有意义分析方面。本文回顾了关于微阵列及基于微阵列实验的原理和技术问题、获取数据所涉及的步骤以及对这些实验所得数据进行分析的基本原理。此外,还讨论了基于微阵列实验的一些方面,如实验设计以及数据处理与解读。然而,与所有新方法一样,仍有改进的空间。本文回顾了微阵列的相对优缺点以及基于微阵列数据的分析,同时探讨了当前关注的问题和未来的可能性。因此,本文的总体目标是突出基于微阵列实验过去和未来可能的一些用途,并对这一迅速发展的技术进行全面概述。

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