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...

全面介紹

Saved in:
書目詳細資料
Main Authors: Emilsson, Gustav, Röder, Evelyn, Malekian, Bita, Xiong, Kunli, Manzi, John, Tsai, Feng-Ching, Cho, Nam-Joon, Bally, Marta, Dahlin, Andreas
其他作者: School of Materials Science & Engineering
格式: Article
語言:English
出版: 2019
主題:
在線閱讀:https://hdl.handle.net/10356/103687
http://hdl.handle.net/10220/48597
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結: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.