Nanoplasmonic sensor detects preferential binding of IRSp53 to negative membrane curvature

Biosensors based on plasmonic nanostructures are widely used in various applications and benefit from numerous operational advantages. One type of application where nanostructured sensors provide unique value in comparison with, for instance, conventional surface plasmon resonance, is investigations...

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Bibliographic Details
Main Authors: Emilsson, Gustav, Röder, Evelyn, Malekian, Bita, Xiong, Kunli, Manzi, John, Tsai, Feng-Ching, Cho, Nam-Joon, Bally, Marta, Dahlin, Andreas
Other Authors: School of Materials Science & Engineering
Format: Article
Language:English
Published: 2019
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Online Access:https://hdl.handle.net/10356/103687
http://hdl.handle.net/10220/48597
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Institution: Nanyang Technological University
Language: English
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Summary:Biosensors based on plasmonic nanostructures are widely used in various applications and benefit from numerous operational advantages. One type of application where nanostructured sensors provide unique value in comparison with, for instance, conventional surface plasmon resonance, is investigations of the influence of nanoscale geometry on biomolecular binding events. In this study, we show that plasmonic “nanowells” conformally coated with a continuous lipid bilayer can be used to detect the preferential binding of the insulin receptor tyrosine kinase substrate protein (IRSp53) I-BAR domain to regions of negative surface curvature, i.e., the interior of the nanowells. Two different sensor architectures with and without an additional niobium oxide layer are compared for this purpose. In both cases, curvature preferential binding of IRSp53 (at around 0.025 nm−1 and higher) can be detected qualitatively. The high refractive index niobium oxide influences the near field distribution and makes the signature for bilayer formation less clear, but the contrast for accumulation at regions of negative curvature is slightly higher. This work shows the first example of analyzing preferential binding of an average-sized and biologically important protein to negative membrane curvature in a label-free manner and in real-time, illustrating a unique application for nanoplasmonic sensors.