NMI Natural and Medical Sciences Institute at the University of Tuebingen, Markwiesenstr. 55, 72770 Reutlingen, Germany.
Clin Chem. 2010 Mar;56(3):376-87. doi: 10.1373/clinchem.2009.137158. Epub 2010 Jan 14.
Over the last 10 years, DNA microarrays have achieved a robust analytical performance, enabling their use for analyzing the whole transcriptome or for screening thousands of single-nucleotide polymorphisms in a single experiment. DNA microarrays allow scientists to correlate gene expression signatures with disease progression, to screen for disease-specific mutations, and to treat patients according to their individual genetic profiles; however, the real key is proteins and their manifold functions. It is necessary to achieve a greater understanding of not only protein function and abundance but also their role in the development of diseases. Protein concentrations have been shown to reflect the physiological and pathologic state of an organ, tissue, or cells far more directly than DNA, and proteins can be profiled effectively with protein microarrays, which require only a small amount of sample material.
Protein microarrays have become well-established tools in basic and applied research, and the first products have already entered the in vitro diagnostics market. This review focuses on protein microarray applications for biomarker discovery and validation, disease diagnosis, and use within the area of personalized medicine.
Protein microarrays have proved to be reliable research tools in screening for a multitude of parameters with only a minimal quantity of sample and have enormous potential in applications for diagnostic and personalized medicine.
在过去的 10 年中,DNA 微阵列已经实现了强大的分析性能,使其能够用于分析整个转录组,或者在单个实验中筛选数千个单核苷酸多态性。DNA 微阵列使科学家能够将基因表达特征与疾病进展相关联,筛选疾病特异性突变,并根据患者的个体遗传特征进行治疗;然而,真正的关键是蛋白质及其多种功能。有必要不仅要了解蛋白质的功能和丰度,还要了解它们在疾病发展中的作用。蛋白质浓度比 DNA 更能直接反映器官、组织或细胞的生理和病理状态,并且可以使用仅需要少量样本材料的蛋白质微阵列有效地对其进行分析。
蛋白质微阵列已成为基础和应用研究中应用广泛的工具,第一批产品已经进入体外诊断市场。本综述重点介绍了蛋白质微阵列在生物标志物发现和验证、疾病诊断以及个性化医学领域中的应用。
蛋白质微阵列已被证明是一种可靠的研究工具,可用于筛选少量样本中的多种参数,并且在诊断和个性化医学应用中有巨大的潜力。