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[利用微阵列寻找基因表达模式:在复杂表型研究中的应用]

[Use of microarrays in the search of gene expression patterns: application to the study of complex phenotypes].

作者信息

Guindalini Camila, Tufik Sergio

机构信息

Departamento de Psicobiologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brasil.

出版信息

Braz J Psychiatry. 2007 Dec;29(4):370-4. doi: 10.1590/s1516-44462007000400014.

Abstract

Sequencing the human genome has prompted the development of new technologies, which have emerged as promising methodological and scientific tools for advancing the current knowledge about the causes and mechanisms involved in various complex disorders. Among those, the high-throughput technique known as microarray is particularly powerful in providing a global view of gene expression patterns in biological samples. By the simultaneous determination of the expression levels of thousands of genes, microarrays allow researchers to compare the molecular behaviour of different types of cells lines or specific tissues that have been exposed to pathological or experimental conditions. The method may provide insights into physiological processes and facilitate the identification of novel biological markers for diagnostic, prognostic and pharmacological treatments for a number of diseases. In this article, we present theoretical and methodological concepts underlying the microarray technology, as well as an overview of its advantages, perspectives and future scientific directions. In an attempt to demonstrate the applicability and efficiency of the method in the study of complex phenotypes, initial results on gene expression studies in post mortem brain samples of psychiatric patients and on the molecular and functional consequences of sleep disturbances, which is strongly associated with psychiatric illness, will be described and discussed.

摘要

对人类基因组进行测序推动了新技术的发展,这些新技术已成为有前景的方法学和科学工具,有助于增进我们对各种复杂疾病的病因和机制的现有认识。其中,被称为微阵列的高通量技术在提供生物样本中基因表达模式的全局视图方面特别强大。通过同时测定数千个基因的表达水平,微阵列使研究人员能够比较暴露于病理或实验条件下的不同类型细胞系或特定组织的分子行为。该方法可能有助于深入了解生理过程,并促进为多种疾病的诊断、预后和药物治疗鉴定新的生物标志物。在本文中,我们介绍了微阵列技术的理论和方法学概念,以及其优势、前景和未来科学方向的概述。为了证明该方法在复杂表型研究中的适用性和有效性,我们将描述和讨论在精神病患者死后脑样本中的基因表达研究以及与精神疾病密切相关的睡眠障碍的分子和功能后果的初步结果。

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