Department of Anatomy, Physiology and Genetics, Uniformed Services University School of Medicine, USUHS, Bethesda, MD, USA.
Proteomics Clin Appl. 2007 Sep;1(9):934-52. doi: 10.1002/prca.200700154. Epub 2007 Aug 10.
Proteomics for clinical applications is presently in a state of transition. It has become clear that the classical approaches based on 2-DE and/or MS need to be complemented by different kinds of technologies. The well-known problems include sample complexity, sensitivity, quantitation, reproducibility, and analysis time. We suggest that the new technologies for clinical proteomics can be supported by antibody-centric protein microarray platforms. These platforms presently include antibody microarrays and lysate, or reverse capture/reverse phase protein microarrays. Other forms of these arrays are in less mature developmental stages, including ORF and self assembling protein microarrays. Bioinformatic support for interpreting these arrays is becoming more available as the whole field of systems biology begins to mature. The present set of applications for these platforms is profoundly focused on certain common cancers, immunology, and cystic fibrosis. However, we predict that many more disease entities will become studied as knowledge of the power and availability of these platforms becomes more widely established. We anticipate that these platforms will eventually evolve to accommodate label-free detection technologies, human genome-scale numbers of analytes, and increases in analytic and bioinformatic speeds.
蛋白质组学在临床应用中目前正处于转变阶段。很明显,基于 2-DE 和/或 MS 的经典方法需要辅以不同类型的技术。众所周知的问题包括样品复杂性、灵敏度、定量、重现性和分析时间。我们建议,新的临床蛋白质组学技术可以得到以抗体为中心的蛋白质微阵列平台的支持。这些平台目前包括抗体微阵列和裂解物,或反向捕获/反相蛋白质微阵列。其他形式的这些阵列处于不太成熟的发展阶段,包括 ORF 和自组装蛋白质微阵列。随着系统生物学领域开始成熟,用于解释这些阵列的生物信息学支持变得更加可用。目前,这些平台的应用主要集中在某些常见癌症、免疫学和囊性纤维化上。然而,我们预测,随着这些平台的功能和可用性的知识得到更广泛的认可,将会有更多的疾病实体得到研究。我们预计这些平台最终将发展到适应无标记检测技术、人类基因组规模的分析物数量以及分析和生物信息学速度的提高。