Membrane insertion of—and membrane potential sensing by—semiconductor voltage nanosensors: Feasibility demonstration

Kyoungwon Park, Yung Kuo, Volodymyr Shvadchak, Antonino Ingargiola, Xinghong Dai, Lawrence Hsiung, Wookyeom Kim, Hong Zhou, Peng Zou, Alex J. Levine, Jack Li, Shimon Weiss

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

We developed membrane voltage nanosensors that are based on inorganic semiconductor nanoparticles. We provide here a feasibility study for their utilization. We use a rationally designed peptide to functionalize the nanosensors, imparting them with the ability to self-insert into a lipid membrane with a desired orientation. Once inserted, these nanosensors could sense membrane potential via the quantum confined Stark effect, with a single-particle sensitivity. With further improvements, these nanosensors could potentially be used for simultaneous recording of action potentials from multiple neurons in a large field of view over a long duration and for recording electrical signals on the nanoscale, such as across one synapse.

Original languageEnglish
Article numbere1601453
JournalScience advances
Volume4
Issue number1
DOIs
StatePublished - Jan 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
Copyright © 2018 The Authors.

Funding

We acknowledge the help of A. Cohen for providing the self-spiking HEK cell line and for providing access to the laboratory and the patch-clamp fluorescence setup. Funding: We also acknowledge the use of instruments at the Electron Imaging Center for NanoMachines supported by the NIH (1S10RR23057 and GM071940 to Z.H.Z.) and the Advanced Light Microscopy/Spectroscopy core, both at the California NanoSystems Institute at the University of California, Los Angeles. We also acknowledge the participation in the USER Program (#1726 and #3244) of the Molecular Foundry at the Lawrence Berkeley National Laboratory, which was supported by the U.S. Department of Energy Office of Science, Office of Basic Energy Sciences under contract no. DE-AC02-05CH11231. S.W. acknowledges the funding from the United States–Israel Binational Science Foundation (#2010382), the Human Frontier Science Program (#RGP0061/2015), and the Defense Advanced Research Projects Agency/ Biological Technologies Office (award no. D14PC00141). This material is based on work supported by the U.S. Department of Energy Office of Science, Office of Biological and Environmental Research program under award no. DE-FC02-02ER63421. A.J.L. acknowledges partial support from NSF-DMR-1309188. S.W. and Z.H.Z. acknowledge partial support from the NSF (DMR-1548924).

FundersFunder number
National Institutes of Health1S10RR23057
National Institute of General Medical SciencesR01GM071940
Human Frontier Science Program#RGP0061/2015, D14PC00141
University of California
Basic Energy SciencesDE-AC02-05CH11231
Lawrence Berkeley National Laboratory
National Stroke FoundationDMR-1548924
United States-Israel Binational Science Foundation#2010382

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