Off-Peak 594-nm Light Surpasses On-Peak 532-nm Light in Silencing Distant ArchT-Expressing Neurons In Vivo.

Neuroscience Optical Imaging Technical Aspects of Cell Biology

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
24 Jul 2020
Historique:
received: 04 12 2019
revised: 23 03 2020
accepted: 11 06 2020
pubmed: 1 7 2020
medline: 1 7 2020
entrez: 30 6 2020
Statut: ppublish

Résumé

For large brain volume manipulations using optogenetics, both effective opsin excitation and efficient light delivery with minimal light absorption are required to minimize the illuminating light intensity and concomitant off-target effects. ArchT, a widely used potent inhibitory opsin, is commonly activated by 532-nm light, which lies on its in vitro excitation peak. However, 532-nm light also lies on a peak range of the hemoglobin absorption spectrum. Therefore, we predicted that 594-nm light is superior in suppressing distant ArchT-expressing neurons, which is slightly off the ArchT-excitation-plateau and largely off the peak of the hemoglobin absorption spectrum. We quantitatively tested this prediction by the electrophysiological recording of the rat cortex in vivo. At illumination distances greater than 500 μm, 594-nm light was more effective than 532-nm light. Its superiority increased with distance. These results validate our prediction and highlight the significance of excitation-absorption trade-off in selecting illumination wavelength for optogenetics in vivo.

Identifiants

pubmed: 32599561
pii: S2589-0042(20)30462-4
doi: 10.1016/j.isci.2020.101276
pmc: PMC7326739
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101276

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Interests The authors declare no competing financial interests.

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Auteurs

Rieko Setsuie (R)

Department of Physiology, The University of Tokyo School of Medicine, Bunkyo-ku, Tokyo 113-0033, Japan; Juntendo University, Graduate School of Medicine, Bunkyo-ku, Tokyo 113-8421, Japan; Laboratory for Cognition Circuit Dynamics, RIKEN Center for Brain Science, Wako-shi, Saitama 351-0198, Japan. Electronic address: rieko.setsuie@riken.jp.

Keita Tamura (K)

Department of Physiology, The University of Tokyo School of Medicine, Bunkyo-ku, Tokyo 113-0033, Japan.

Kentaro Miyamoto (K)

Department of Physiology, The University of Tokyo School of Medicine, Bunkyo-ku, Tokyo 113-0033, Japan.

Takamitsu Watanabe (T)

Laboratory for Cognition Circuit Dynamics, RIKEN Center for Brain Science, Wako-shi, Saitama 351-0198, Japan.

Masaki Takeda (M)

Department of Physiology, The University of Tokyo School of Medicine, Bunkyo-ku, Tokyo 113-0033, Japan; Juntendo University, Graduate School of Medicine, Bunkyo-ku, Tokyo 113-8421, Japan.

Yasushi Miyashita (Y)

Department of Physiology, The University of Tokyo School of Medicine, Bunkyo-ku, Tokyo 113-0033, Japan; Juntendo University, Graduate School of Medicine, Bunkyo-ku, Tokyo 113-8421, Japan; Laboratory for Cognition Circuit Dynamics, RIKEN Center for Brain Science, Wako-shi, Saitama 351-0198, Japan.

Classifications MeSH