Mining the Salivary Proteome with Grating‐Coupled Surface Plasmon Resonance Imaging and Surface Plasmon Coupled Emission Microarrays
Year: 2012
Type: article
Abstract: 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.
Source: Current Protocols in Toxicology
Authors: Ryan D. Molony, James M. Rice, Jong Seol Yuk, Vivek Shetty, Dipak Dey, David A. Lawrence, Michael A. Lynes
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Funders: National Institutes of Health, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Environmental Health Sciences, National Institute of Dental and Craniofacial Research
Awards: Protein Microarray System for Rheumatiod Arthritis Diagnosis, Plasmonic Fluorescence Microarray Detection System, G3778489797, G4400737001, Plasmonic Fluorescence Microarray Detection System, Protein Microarray System for Rheumatoid Arthritis, MHC Array T Cell Assay System for Monitoring Immune Status in Type 1 Diabetes, Biomarker signatures of biological, chemical, or psychological stress, G7492742098, G7994884105, G921164930
OpenAlex ID: W1707614252
