Molony Ryan D, Rice James M, Yuk Jong Seol, Shetty Vivek, Dey Dipak, Lawrence David A, Lynes Michael A
Department of Molecular and Cell Biology, University of Connecticut, Storrs, Connecticut, USA.
Curr Protoc Toxicol. 2012 Aug;Chapter 18:Unit 18.16.1-19. doi: 10.1002/0471140856.tx1816s53.
Biological indicators have numerous and widespread utility in personalized medicine, but the measurement of these indicators also poses many technological and practical challenges. Blood/plasma has typically been used as the sample source with which to measure these indicators, but the invasiveness associated with sample procurement has led to increased interest in saliva as an attractive alternative. However, there are unique issues associated with the measurement of saliva biomarkers. These issues are compounded by the imperfect correlation between saliva and plasma with respect to biomarker profiles. In this manuscript, we address the technical challenges associated with saliva biomarker quantification. We describe a high-content microarray assay that employs both grating-coupled surface plasmon resonance imaging and surface plasmon-coupled emission modalities in a highly sensitive assay with a large dynamic range. This powerful approach provides the tools to map the proteome of saliva, which in turn should greatly enhance the utility of salivary biomarker profiles in personalized medicine.
生物标志物在个性化医疗中具有广泛的用途，但这些标志物的测量也带来了许多技术和实际挑战。血液/血浆通常被用作测量这些标志物的样本来源，但与样本采集相关的侵入性导致人们对唾液作为一种有吸引力的替代物的兴趣增加。然而，唾液生物标志物的测量存在一些独特的问题。唾液和血浆在生物标志物谱方面的不完全相关性使这些问题更加复杂。在本手稿中，我们解决了与唾液生物标志物定量相关的技术挑战。我们描述了一种高内涵微阵列分析方法，该方法在具有大动态范围的高灵敏度分析中采用了光栅耦合表面等离子体共振成像和表面等离子体耦合发射模式。这种强大的方法提供了绘制唾液蛋白质组图谱的工具，这反过来又应大大提高唾液生物标志物谱在个性化医疗中的效用。
