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High-throughput evolution of near-infrared serotonin nanosensors
Imaging neuromodulation with synthetic probes is an emerging technology for studying neurotransmission. However, most synthetic probes are developed through conjugation of fluorescent signal transducers to preexisting recognition moieties such as antibodies or receptors. We introduce a generic platf...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920020/ https://www.ncbi.nlm.nih.gov/pubmed/31897432 http://dx.doi.org/10.1126/sciadv.aay3771 |
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author | Jeong, Sanghwa Yang, Darwin Beyene, Abraham G. Del Bonis-O’Donnell, Jackson Travis Gest, Anneliese M. M. Navarro, Nicole Sun, Xiaoqi Landry, Markita P. |
author_facet | Jeong, Sanghwa Yang, Darwin Beyene, Abraham G. Del Bonis-O’Donnell, Jackson Travis Gest, Anneliese M. M. Navarro, Nicole Sun, Xiaoqi Landry, Markita P. |
author_sort | Jeong, Sanghwa |
collection | PubMed |
description | Imaging neuromodulation with synthetic probes is an emerging technology for studying neurotransmission. However, most synthetic probes are developed through conjugation of fluorescent signal transducers to preexisting recognition moieties such as antibodies or receptors. We introduce a generic platform to evolve synthetic molecular recognition on the surface of near-infrared fluorescent single-wall carbon nanotube (SWCNT) signal transducers. We demonstrate evolution of molecular recognition toward neuromodulator serotonin generated from large libraries of ~6.9 × 10(10) unique ssDNA sequences conjugated to SWCNTs. This probe is reversible and produces a ~200% fluorescence enhancement upon exposure to serotonin with a K(d) = 6.3 μM, and shows selective responsivity over serotonin analogs, metabolites, and receptor-targeting drugs. Furthermore, this probe remains responsive and reversible upon repeat exposure to exogenous serotonin in the extracellular space of acute brain slices. Our results suggest that evolution of nanosensors could be generically implemented to develop other neuromodulator probes with synthetic molecular recognition. |
format | Online Article Text |
id | pubmed-6920020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-69200202020-01-02 High-throughput evolution of near-infrared serotonin nanosensors Jeong, Sanghwa Yang, Darwin Beyene, Abraham G. Del Bonis-O’Donnell, Jackson Travis Gest, Anneliese M. M. Navarro, Nicole Sun, Xiaoqi Landry, Markita P. Sci Adv Research Articles Imaging neuromodulation with synthetic probes is an emerging technology for studying neurotransmission. However, most synthetic probes are developed through conjugation of fluorescent signal transducers to preexisting recognition moieties such as antibodies or receptors. We introduce a generic platform to evolve synthetic molecular recognition on the surface of near-infrared fluorescent single-wall carbon nanotube (SWCNT) signal transducers. We demonstrate evolution of molecular recognition toward neuromodulator serotonin generated from large libraries of ~6.9 × 10(10) unique ssDNA sequences conjugated to SWCNTs. This probe is reversible and produces a ~200% fluorescence enhancement upon exposure to serotonin with a K(d) = 6.3 μM, and shows selective responsivity over serotonin analogs, metabolites, and receptor-targeting drugs. Furthermore, this probe remains responsive and reversible upon repeat exposure to exogenous serotonin in the extracellular space of acute brain slices. Our results suggest that evolution of nanosensors could be generically implemented to develop other neuromodulator probes with synthetic molecular recognition. American Association for the Advancement of Science 2019-12-18 /pmc/articles/PMC6920020/ /pubmed/31897432 http://dx.doi.org/10.1126/sciadv.aay3771 Text en Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Jeong, Sanghwa Yang, Darwin Beyene, Abraham G. Del Bonis-O’Donnell, Jackson Travis Gest, Anneliese M. M. Navarro, Nicole Sun, Xiaoqi Landry, Markita P. High-throughput evolution of near-infrared serotonin nanosensors |
title | High-throughput evolution of near-infrared serotonin nanosensors |
title_full | High-throughput evolution of near-infrared serotonin nanosensors |
title_fullStr | High-throughput evolution of near-infrared serotonin nanosensors |
title_full_unstemmed | High-throughput evolution of near-infrared serotonin nanosensors |
title_short | High-throughput evolution of near-infrared serotonin nanosensors |
title_sort | high-throughput evolution of near-infrared serotonin nanosensors |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920020/ https://www.ncbi.nlm.nih.gov/pubmed/31897432 http://dx.doi.org/10.1126/sciadv.aay3771 |
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