生物芯片分析:现状。

Y Braun, D H Wai, K Biemel, K L Schäfer, H E Gabbert, C Poremba
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引用次数: 0

摘要

生物芯片是排列在固体基质上的小型化测试点(微阵列)的集合,大量生物分子以高密度附着在固体基质上。就像计算机芯片可以在几秒钟内完成数百万个数学运算一样,生物芯片可以在几秒钟内同时分析数千个生物反应,比如解码基因。生物芯片技术可以应用于许多领域,包括基因组学、蛋白质组学和糖组学研究,以及药理学和毒理学。然而,最常见的应用之一是测定人类细胞和组织中的基因表达。全球基因表达分析有助于识别人类恶性肿瘤中的重要基因和信号通路。微阵列有望从“(实验室)工作台走向(病人)床边”。最近的研究确实表明,通过微阵列分析差异基因表达可能有助于识别恶性肿瘤的亚型,从而对患者进行风险分层。然而,在微阵列成为常规诊断工具之前,有几个问题需要解决,例如生物信息学分析的问题,仅使用有限数量的感兴趣基因构建疾病或组织特异性微阵列的问题,组织制备以防止RNA降解的标准操作程序等。本文综述了生物芯片的各种应用和技术、局限性、挑战和未来发展。
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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Biochip analysis: status quo.

Biochips are collections of miniaturized test sites (microarrays) arranged on a solid substrate onto which a large number of biomolecules are attached with high density. Like a computer chip performing millions of mathematical operations in a few split seconds, a biochip allows for simultaneous analyses of thousands of biological reactions, such as decoding genes, in a few seconds. Biochip technologies can be applied to numerous fields including genomic, proteomic, and glycomic research, as well as pharmacology and toxicology. However, one of the most common applications is in the determination of gene expression in human cells and tissues. Global gene expression analysis has helped to identify important genes and signalling pathways in human malignant tumors. And there is hope that microarrays will make the step from "the (laboratory) bench to the bedside (of the patient)". Recent studies have indeed revealed that analysis of differential gene expression by microarrays may help to identify subtypes of malignant tumors, that allow a risk stratification of the patients. However, there are several issues that need to be addressed before microarrays may become a tool for routine diagnostics, such as problems with bioinformatic analysis, construction of disease or tissue specific microarrays with only limited numbers of genes of interest, standard operation procedures for tissue preparation to prevent RNA degradation, etc.. In this article, an overview over of the multifarious biochip applications and technologies, its limitations, challenges and future developments is provided.

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