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タイトル: Imaging Voltage with Microbial Rhodopsins
著者: Zhang, Xiao Min
Yokoyama, Tatsushi
Sakamoto, Masayuki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-6458-113X (unconfirmed)
著者名の別形: 横山, 達士
坂本, 雅行
キーワード: voltage imaging
microbial rhodopsins
photocycle
FRET (förster resonance energy transfer)
optogenetics
in vivo imaging
発行日: 2021
出版者: Frontiers Media SA
誌名: Frontiers in Molecular Biosciences
巻: 8
論文番号: 738829
抄録: Membrane potential is the critical parameter that reflects the excitability of a neuron, and it is usually measured by electrophysiological recordings with electrodes. However, this is an invasive approach that is constrained by the problems of lacking spatial resolution and genetic specificity. Recently, the development of a variety of fluorescent probes has made it possible to measure the activity of individual cells with high spatiotemporal resolution. The adaptation of this technique to image electrical activity in neurons has become an informative method to study neural circuits. Genetically encoded voltage indicators (GEVIs) can be used with superior performance to accurately target specific genetic populations and reveal neuronal dynamics on a millisecond scale. Microbial rhodopsins are commonly used as optogenetic actuators to manipulate neuronal activities and to explore the circuit mechanisms of brain function, but they also can be used as fluorescent voltage indicators. In this review, we summarize recent advances in the design and the application of rhodopsin-based GEVIs.
著作権等: © 2021 Zhang, Yokoyama and Sakamoto.
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.
URI: http://hdl.handle.net/2433/268287
DOI(出版社版): 10.3389/fmolb.2021.738829
PubMed ID: 34513932
出現コレクション:学術雑誌掲載論文等

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