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Sustained deep-tissue voltage recording using a fast indicator evolved for two-photon microscopy.
Liu, Zhuohe; Lu, Xiaoyu; Villette, Vincent; Gou, Yueyang; Colbert, Kevin L; Lai, Shujuan; Guan, Sihui; Land, Michelle A; Lee, Jihwan; Assefa, Tensae; Zollinger, Daniel R; Korympidou, Maria M; Vlasits, Anna L; Pang, Michelle M; Su, Sharon; Cai, Changjia; Froudarakis, Emmanouil; Zhou, Na; Patel, Saumil S; Smith, Cameron L; Ayon, Annick; Bizouard, Pierre; Bradley, Jonathan; Franke, Katrin; Clandinin, Thomas R; Giovannucci, Andrea; Tolias, Andreas S; Reimer, Jacob; Dieudonné, Stéphane; St-Pierre, François.
Afiliação
  • Liu Z; Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA.
  • Lu X; Systems, Synthetic, and Physical Biology Program, Rice University, Houston, TX 77005, USA.
  • Villette V; Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Research University, Paris 75005, France.
  • Gou Y; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.
  • Colbert KL; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.
  • Lai S; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.
  • Guan S; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.
  • Land MA; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.
  • Lee J; Systems, Synthetic, and Physical Biology Program, Rice University, Houston, TX 77005, USA; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.
  • Assefa T; Department of Bioengineering, Rice University, Houston, TX 77005, USA.
  • Zollinger DR; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.
  • Korympidou MM; Institute for Ophthalmic Research, University of Tübingen, Tübingen, Baden-Württemberg 72076, Germany; Center for Integrative Neuroscience, University of Tübingen, Tübingen, Baden-Württemberg 72076, Germany; Bernstein Center for Computational Neuroscience, University of Tübingen, Tübingen, Baden-Wür
  • Vlasits AL; Institute for Ophthalmic Research, University of Tübingen, Tübingen, Baden-Württemberg 72076, Germany; Center for Integrative Neuroscience, University of Tübingen, Tübingen, Baden-Württemberg 72076, Germany.
  • Pang MM; Department of Neurobiology, Stanford University, Stanford, CA 94305, USA.
  • Su S; Department of Neurobiology, Stanford University, Stanford, CA 94305, USA.
  • Cai C; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC 27599, USA.
  • Froudarakis E; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology Hellas, Heraklion 70013, Greece.
  • Zhou N; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.
  • Patel SS; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.
  • Smith CL; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA.
  • Ayon A; Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Research University, Paris 75005, France.
  • Bizouard P; Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Research University, Paris 75005, France.
  • Bradley J; Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Research University, Paris 75005, France.
  • Franke K; Institute for Ophthalmic Research, University of Tübingen, Tübingen, Baden-Württemberg 72076, Germany; Center for Integrative Neuroscience, University of Tübingen, Tübingen, Baden-Württemberg 72076, Germany; Bernstein Center for Computational Neuroscience, University of Tübingen, Tübingen, Baden-Wür
  • Clandinin TR; Department of Neurobiology, Stanford University, Stanford, CA 94305, USA.
  • Giovannucci A; Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC 27599, USA; UNC Neuroscience Center, Chapel Hill, NC 27599, USA.
  • Tolias AS; Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA.
  • Reimer J; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA.
  • Dieudonné S; Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Research University, Paris 75005, France.
  • St-Pierre F; Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA; Systems, Synthetic, and Physical Biology Program, Rice University, Houston, TX 77005, USA; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Department of Biochemistry and Molecu
Cell ; 185(18): 3408-3425.e29, 2022 09 01.
Article em En | MEDLINE | ID: mdl-35985322
ABSTRACT
Genetically encoded voltage indicators are emerging tools for monitoring voltage dynamics with cell-type specificity. However, current indicators enable a narrow range of applications due to poor performance under two-photon microscopy, a method of choice for deep-tissue recording. To improve indicators, we developed a multiparameter high-throughput platform to optimize voltage indicators for two-photon microscopy. Using this system, we identified JEDI-2P, an indicator that is faster, brighter, and more sensitive and photostable than its predecessors. We demonstrate that JEDI-2P can report light-evoked responses in axonal termini of Drosophila interneurons and the dendrites and somata of amacrine cells of isolated mouse retina. JEDI-2P can also optically record the voltage dynamics of individual cortical neurons in awake behaving mice for more than 30 min using both resonant-scanning and ULoVE random-access microscopy. Finally, ULoVE recording of JEDI-2P can robustly detect spikes at depths exceeding 400 µm and report voltage correlations in pairs of neurons.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microscopia / Neurônios Limite: Animals Idioma: En Revista: Cell Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microscopia / Neurônios Limite: Animals Idioma: En Revista: Cell Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos