Premium
Finding the Optimal Surface Density of Aptamer Monolayers by SPR Imaging Detection‐based Aptamer Microarrays
Author(s) -
Simon László,
Bognár Zsófia,
Gyurcsányi Róbert E.
Publication year - 2020
Publication title -
electroanalysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 128
eISSN - 1521-4109
pISSN - 1040-0397
DOI - 10.1002/elan.201900736
Subject(s) - aptamer , surface plasmon resonance , nanotechnology , biosensor , chemistry , dna microarray , monolayer , materials science , nanoparticle , microbiology and biotechnology , biology , biochemistry , gene , gene expression
Abstract Surface plasmon resonance imaging (SPRi) by enabling label‐free, real time assessment of biomolecular interactions in multiplexed manner is one of the methods of choice for high throughput characterization of large pools of DNA aptamer candidates following in vitro selection. Moreover, with major advances in in situ amplification methods SPRi became also a viable detection platform for aptamer microarrays. In case of aptamer microarrays, commonly prepared by microspotting, the direct assessment of the surface density of aptamer probes, which is essential for both kinetic and sensing measurements is not possible. Therefore, here we introduce a methodology for simple, one‐step determination of surface densities of thiol labelled aptamer monolayers microspotted on gold SPRi chips. Based on this methodology we investigated in detail the effect of the surface density of aptamers on target binding through two aptamer‐target systems, i. e. human immunoglobulin E (hIgE) and six histidine tag 6xHis‐tag. We found that the surface density of the aptamers is indeed critical and shows a sharp maximum in terms of target binding efficiency, which is largely determined by the size of the target. The optimal aptamer surface densities determined, the immobilization chemistry (shared by many detection platforms, e. g., electrochemical, surface acoustic) and the trends identified may be used for rapid rational optimization of aptamer‐target assays.