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    Facile Generation of Biomimetic-Supported Lipid Bilayers on Conducting Polymer Surfaces for Membrane Biosensing.

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    Name:
    Su et al ACS AMI SI 111119.pdf
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    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Su, Hui cc
    Liu, Han-Yuan cc
    Pappa, Anna-Maria
    Hidalgo, Tania Cecilia
    Cavassin, Priscila
    Inal, Sahika cc
    Owens, Róisín M
    Daniel, Susan cc
    KAUST Department
    Biological and Environmental Science and Engineering Division , King Abdullah University of Science and Technology (KAUST) , Thuwal , Makkah Province 23955-6900 , Saudi Arabia.
    Biological and Environmental Sciences and Engineering (BESE) Division
    Bioscience Program
    Date
    2019-10-30
    Embargo End Date
    2020-10-30
    Permanent link to this record
    http://hdl.handle.net/10754/660357
    
    Metadata
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    Abstract
    Membrane biosensors that can rapidly sense pathogen interaction and disrupting agents are needed to identify and screen new drugs to combat antibiotic resistance. Bioelectronic devices have the capability to read out both ionic and electrical signals, but their compatibility with biological membranes is somewhat limited. Supported lipid bilayers (SLBs) have served as useful biomimetics for a myriad of research topics involving biological membranes. However, SLBs are traditionally made on inert, rigid, inorganic surfaces. Here, we demonstrate a versatile and facile method for generating SLBs on a conducting polymer device using a solvent-assisted lipid bilayer (SALB) technique. We use this bioelectronic device to form both mammalian and bacterial membrane mimetics to sense the membrane interactions with a bacterial toxin (α-hemolysin) and an antibiotic compound (polymyxin B), respectively. Our results show that we can form high quality bilayers of both types and sense these particular interactions with them, discriminating between pore formation, in the case of α-hemolysin, and disruption of the bilayer, in the case of polymyxin B. The SALB formation method is compatible with many membrane compositions that will not form via common vesicle fusion methods and works well in microfluidic devices. This, combined with the massive parallelization possible for the fabrication of electronic devices, can lead to miniaturized multiplexed devices for rapid data acquisition necessary to identify antibiotic targets that specifically disrupt bacterial, but not mammalian membranes, or identify bacterial toxins that strongly interact with mammalian membranes.
    Citation
    Su, H., Liu, H.-Y., Pappa, A.-M., Hidalgo, T. C., Cavassin, P., Inal, S., … Daniel, S. (2019). Facile Generation of Biomimetic-Supported Lipid Bilayers on Conducting Polymer Surfaces for Membrane Biosensing. ACS Applied Materials & Interfaces. doi:10.1021/acsami.9b10303
    Sponsors
    We thank Professor Nam-Joon Cho (The Engineering in Translational Science Group at Nanyang Technical University) for his advice and providing the microfluidic flow cells used in this work. P.C. would like to acknowledge funding from the Fundaca̧ o de Amparo a ̃ ̀ Pesquisa do Estado de Sao Paulo ̃ (project 2018/14801-9). Research was sponsored by the Defense Advanced Research Projects Agency (DARPA) Army Research Office and was accomplished under Cooperative agreement number W911NF-18-2-0152. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of DARPA or the Army Research Office or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.
    Publisher
    American Chemical Society (ACS)
    Journal
    ACS applied materials & interfaces
    DOI
    10.1021/acsami.9b10303
    Additional Links
    https://pubs.acs.org/doi/10.1021/acsami.9b10303
    ae974a485f413a2113503eed53cd6c53
    10.1021/acsami.9b10303
    Scopus Count
    Collections
    Articles; Biological and Environmental Sciences and Engineering (BESE) Division; Bioscience Program

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