title: Increased cross-platform microarray data set correlation via substrate-independent nanofilms.
abstract: Recently developed substrate-independent nanofilms were utilized to generate highly concordant cross-platform microarray data sets on a diverse set of materials such as glass, mica, silicon, and polymer. Using model DNA and protein dose-response assays, the number of cross-platform data sets exhibiting high correlation (>0.98) increased from 33% to 86% when utilizing platforms coated with substrate-independent nanofilms as opposed to traditional surface coatings such as aminosilane and poly-L-lysine. Furthermore, it is shown how the surface properties of the substrate-independent nanofilms can be tailored through secondary modifications to improve assay performance, demonstrating a viable approach for standardized and rapid biochip development through common, yet upgradable, cross-platform interfaces.
authors.affiliation: Optical Sensors Laboratory, School of Physical Sciences, National Center for Sensor Research, Dublin City University, Glasnevin, Dublin, Ireland. s.spillman@gibh.org
authors.forename: Scott D
authors.initials: SD
authors.lastname: Spillman
mesh_terms: D004247:DNA / Q000032:analysis; D004867:Equipment Design; D005898:Glass / Q000737:chemistry; D046228:Microarray Analysis / Q000295:instrumentation*; D049329:Nanostructures / Q000737:chemistry*; D011108:Polymers / Q000737:chemistry; D011506:Proteins / Q000032:analysis; D012825:Silicon / Q000737:chemistry; D013499:Surface Properties
chemical_list: D011108:Polymers; D011506:Proteins; D004247:DNA; D012825:Silicon