Synthetic nanosensors for imaging neuromodulators.

Autor: Del Bonis-O'Donnell JT; Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, USA., Mun J; Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, USA., Delevich K; Department of Integrative Physiology and Neuroscience, College of Veterinary Medicine, Washington State University, Pullman, WA, USA. Electronic address: kristen.delevich@wsu.edu., Landry MP; Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA; California Institute for Quantitative Biosciences (QB3), Berkeley, CA, USA; Chan-Zuckerberg Biohub, San Francisco, CA, USA. Electronic address: landry@berkeley.edu.
Jazyk: angličtina
Zdroj: Journal of neuroscience methods [J Neurosci Methods] 2021 Nov 01; Vol. 363, pp. 109326. Date of Electronic Publication: 2021 Aug 19.
DOI: 10.1016/j.jneumeth.2021.109326
Abstrakt: Neuromodulation plays a critical role in regulating brain function and its dysregulation is implicated in the pathogenesis of numerous neurological and psychiatric disorders. However, only in the last few years have optical tools become available to probe the spatial and temporal profiles of neuromodulator signaling, including dopamine, with the requisite resolution to uncover mechanisms of neuromodulation. In this review, we summarize the current state of synthetic nanomaterial-based optical nanosensors for monitoring neurotransmission with high spatial and temporal resolution. Specifically, we highlight how synthetic nanosensors can elucidate the spatial distribution of neuromodulator release sites and report the temporal dynamics and spatial diffusion of neuromodulator release. Next, we outline advantages and limitations of currently available nanosensors and their recent application to imaging endogenous dopamine release in brain tissue. Finally, we discuss strategies to improve nanosensors for in vivo use, with implications for translational applications.
(Copyright © 2021. Published by Elsevier B.V.)
Databáze: MEDLINE
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