Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Emilsson, Gustav, Röder, Evelyn, Malekian, Bita, Xiong, Kunli, Manzi, John, Tsai, Feng-Ching, Cho, Nam-Joon, Bally, Marta, Dahlin, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369594/
https://www.ncbi.nlm.nih.gov/pubmed/30778383
http://dx.doi.org/10.3389/fchem.2019.00001
_version_ 1783394219220533248
author Emilsson, Gustav
Röder, Evelyn
Malekian, Bita
Xiong, Kunli
Manzi, John
Tsai, Feng-Ching
Cho, Nam-Joon
Bally, Marta
Dahlin, Andreas
author_facet Emilsson, Gustav
Röder, Evelyn
Malekian, Bita
Xiong, Kunli
Manzi, John
Tsai, Feng-Ching
Cho, Nam-Joon
Bally, Marta
Dahlin, Andreas
author_sort Emilsson, Gustav
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6369594
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-63695942019-02-18 Nanoplasmonic Sensor Detects Preferential Binding of IRSp53 to Negative Membrane Curvature Emilsson, Gustav Röder, Evelyn Malekian, Bita Xiong, Kunli Manzi, John Tsai, Feng-Ching Cho, Nam-Joon Bally, Marta Dahlin, Andreas Front Chem Chemistry 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. Frontiers Media S.A. 2019-02-04 /pmc/articles/PMC6369594/ /pubmed/30778383 http://dx.doi.org/10.3389/fchem.2019.00001 Text en Copyright © 2019 Emilsson, Röder, Malekian, Xiong, Manzi, Tsai, Cho, Bally and Dahlin. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Chemistry
Emilsson, Gustav
Röder, Evelyn
Malekian, Bita
Xiong, Kunli
Manzi, John
Tsai, Feng-Ching
Cho, Nam-Joon
Bally, Marta
Dahlin, Andreas
Nanoplasmonic Sensor Detects Preferential Binding of IRSp53 to Negative Membrane Curvature
title Nanoplasmonic Sensor Detects Preferential Binding of IRSp53 to Negative Membrane Curvature
title_full Nanoplasmonic Sensor Detects Preferential Binding of IRSp53 to Negative Membrane Curvature
title_fullStr Nanoplasmonic Sensor Detects Preferential Binding of IRSp53 to Negative Membrane Curvature
title_full_unstemmed Nanoplasmonic Sensor Detects Preferential Binding of IRSp53 to Negative Membrane Curvature
title_short Nanoplasmonic Sensor Detects Preferential Binding of IRSp53 to Negative Membrane Curvature
title_sort nanoplasmonic sensor detects preferential binding of irsp53 to negative membrane curvature
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369594/
https://www.ncbi.nlm.nih.gov/pubmed/30778383
http://dx.doi.org/10.3389/fchem.2019.00001
work_keys_str_mv AT emilssongustav nanoplasmonicsensordetectspreferentialbindingofirsp53tonegativemembranecurvature
AT roderevelyn nanoplasmonicsensordetectspreferentialbindingofirsp53tonegativemembranecurvature
AT malekianbita nanoplasmonicsensordetectspreferentialbindingofirsp53tonegativemembranecurvature
AT xiongkunli nanoplasmonicsensordetectspreferentialbindingofirsp53tonegativemembranecurvature
AT manzijohn nanoplasmonicsensordetectspreferentialbindingofirsp53tonegativemembranecurvature
AT tsaifengching nanoplasmonicsensordetectspreferentialbindingofirsp53tonegativemembranecurvature
AT chonamjoon nanoplasmonicsensordetectspreferentialbindingofirsp53tonegativemembranecurvature
AT ballymarta nanoplasmonicsensordetectspreferentialbindingofirsp53tonegativemembranecurvature
AT dahlinandreas nanoplasmonicsensordetectspreferentialbindingofirsp53tonegativemembranecurvature