Photostimulation for In Vitro Optogenetics with High-Power Blue Organic Light-Emitting Diodes.


Journal

Advanced biosystems
ISSN: 2366-7478
Titre abrégé: Adv Biosyst
Pays: Germany
ID NLM: 101711718

Informations de publication

Date de publication:
03 2019
Historique:
received: 18 10 2018
revised: 14 12 2018
entrez: 7 7 2020
pubmed: 1 3 2019
medline: 28 8 2020
Statut: ppublish

Résumé

Optogenetics, photostimulation of neural tissues rendered sensitive to light, is widely used in neuroscience to modulate the electrical excitability of neurons. For effective optical excitation of neurons, light wavelength and power density must fit with the expression levels and biophysical properties of the genetically encoded light-sensitive ion channels used to confer light sensitivity on cells-most commonly, channelrhodopsins (ChRs). As light sources, organic light-emitting diodes (OLEDs) offer attractive properties for miniaturized implantable devices for in vivo optical stimulation, but they do not yet operate routinely at the optical powers required for optogenetics. Here, OLEDs with doped charge transport layers are demonstrated that deliver blue light with good stability over millions of pulses, at powers sufficient to activate the ChR, CheRiff when expressed in cultured primary neurons, allowing live cell imaging of neural activity with the red genetically encoded calcium indicator, jRCaMP1a. Intracellular calcium responses scale with the radiant flux of OLED emission, when varied through changes in the current density, number of pulses, frequency, and pulse width delivered to the devices. The reported optimization and characterization of high-power OLEDs are foundational for the development of miniaturized OLEDs with thin-layer encapsulation on bioimplantable devices to allow single-cell activation in vivo.

Identifiants

pubmed: 32627397
doi: 10.1002/adbi.201800290
doi:

Substances chimiques

Channelrhodopsins 0
Recombinant Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1800290

Informations de copyright

© 2019 The Authors. Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Références

K. Deisseroth, Nat. Neurosci. 2015, 18, 1213.
a) J. Mattis, K. M. Tye, E. A. Ferenczi, C. Ramakrishnan, D. J. O'Shea, R. Prakash, L. A. Gunaydin, M. Hyun, L. E. Fenno, V. Gradinaru, O. Yizhar, K. Deisseroth, Nat. Methods 2012, 9, 159;
b) F. Zhang, J. Vierock, O. Yizhar, L. E. Fenno, S. Tsunoda, A. Kianianmomeni, M. Prigge, A. Berndt, J. Cushman, J. Polle, J. Magnuson, P. Hegemann, K. Deisseroth, Cell 2011, 147, 1446;
c) N. C. Klapoetke, Y. Murata, S. S. Kim, S. R. Pulver, A. Birdsey-Benson, Y. K. Cho, T. K. Morimoto, A. S. Chuong, E. J. Carpenter, Z. Tian, J. Wang, Y. Xie, Z. Yan, Y. Zhang, B. Y. Chow, B. Surek, M. Melkonian, V. Jayaraman, M. Constantine-Paton, G. K. Wong, E. S. Boyden, Nat. Methods 2014, 11, 338.
a) L. Madisen, T. Mao, H. Koch, J. M. Zhuo, A. Berenyi, S. Fujisawa, Y. W. Hsu, A. J. Garcia 3rd, X. Gu, S. Zanella, J. Kidney, H. Gu, Y. Mao, B. M. Hooks, E. S. Boyden, G. Buzsaki, J. M. Ramirez, A. R. Jones, K. Svoboda, X. Han, E. E. Turner, H. Zeng, Nat. Neurosci. 2012, 15, 793;
b) T. L. Daigle, L. Madisen, T. A. Hage, M. T. Valley, U. Knoblich, R. S. Larsen, M. M. Takeno, L. Huang, H. Gu, R. Larsen, M. Mills, A. Bosma-Moody, L. A. Siverts, M. Walker, L. T. Graybuck, Z. Yao, O. Fong, T. N. Nguyen, E. Garren, G. H. Lenz, M. Chavarha, J. Pendergraft, J. Harrington, K. E. Hirokawa, J. A. Harris, P. R. Nicovich, M. J. McGraw, D. R. Ollerenshaw, K. A. Smith, C. A. Baker, J. T. Ting, S. M. Sunkin, J. Lecoq, M. Z. Lin, E. S. Boyden, G. J. Murphy, N. M. da Costa, J. Waters, L. Li, B. Tasic, H. Zeng, Cell 2018, 174, 465.
A. M. Packer, B. Roska, M. Hausser, Nat. Neurosci. 2013, 16, 805.
a) J. M. Barrett, R. Berlinguer-Palmini, P. Degenaar, Visual Neurosci. 2014, 31, 345;
b) T. Mager, D. Lopez de la Morena, V. Senn, J. Schlotte, A. D'Errico, K. Feldbauer, C. Wrobel, S. Jung, K. Bodensiek, V. Rankovic, L. Browne, A. Huet, J. Juttner, P. G. Wood, J. J. Letzkus, T. Moser, E. Bamberg, Nat. Commun. 2018, 9, 1750;
c) C. Wrobel, A. Dieter, A. Huet, D. Keppeler, C. J. Duque-Afonso, C. Vogl, G. Hoch, M. Jeschke, T. Moser, Sci. Transl. Med. 2018, 10, eaao0540
J. K. Jeong, Semicond. Sci. Technol. 2011, 26, 034008.
M. S. White, M. Kaltenbrunner, E. D. Głowacki, K. Gutnichenko, G. Kettlgruber, I. Graz, S. Aazou, C. Ulbricht, D. A. M. Egbe, M. C. Miron, Z. Major, M. C. Scharber, T. Sekitani, T. Someya, S. Bauer, N. S. Sariciftci, Nat. Photonics 2013, 7, 811.
A. Steude, M. Jahnel, M. Thomschke, M. Schober, M. C. Gather, Adv. Mater. 2015, 27, 7657.
A. Steude, E. C. Witts, G. B. Miles, M. C. Gather, Sci. Adv. 2016, 2, e1600061.
a) J. Johnston, L. Lagnado, eLife 2015, 4, 06250;
b) J. Johnston, H. Ding, S. H. Seibel, F. Esposti, L. Lagnado, J. Physiol. 2014, 592, 4839.
A. Morton, C. Murawski, S. R. Pulver, M. C. Gather, Sci. Rep. 2016, 6, 31117.
D. R. Hochbaum, Y. Zhao, S. L. Farhi, N. Klapoetke, C. A. Werley, V. Kapoor, P. Zou, J. M. Kralj, D. Maclaurin, N. Smedemark-Margulies, J. L. Saulnier, G. L. Boulting, C. Straub, Y. K. Cho, M. Melkonian, G. K. Wong, D. J. Harrison, V. N. Murthy, B. L. Sabatini, E. S. Boyden, R. E. Campbell, A. E. Cohen, Nat. Methods 2014, 11, 825.
H. Dana, B. Mohar, Y. Sun, S. Narayan, A. Gordus, J. P. Hasseman, G. Tsegaye, G. T. Holt, A. Hu, D. Walpita, R. Patel, J. J. Macklin, C. I. Bargmann, M. B. Ahrens, E. R. Schreiter, V. Jayaraman, L. L. Looger, K. Svoboda, D. S. Kim, eLife 2016, 5, e12727.
K. D. Piatkevich, E. E. Jung, C. Straub, C. Linghu, D. Park, H. J. Suk, D. R. Hochbaum, D. Goodwin, E. Pnevmatikakis, N. Pak, T. Kawashima, C. T. Yang, J. L. Rhoades, O. Shemesh, S. Asano, Y. G. Yoon, L. Freifeld, J. L. Saulnier, C. Riegler, F. Engert, T. Hughes, M. Drobizhev, B. Szabo, M. B. Ahrens, S. W. Flavell, B. L. Sabatini, E. S. Boyden, Nat. Chem. Biol. 2018, 14, 352.
a) O. A. Shemesh, D. Tanese, V. Zampini, C. Linghu, K. Piatkevich, E. Ronzitti, E. Papagiakoumou, E. S. Boyden, V. Emiliani, Nat. Neurosci. 2017, 20, 1796;
b) A. R. Mardinly, I. A. Oldenburg, N. C. Pegard, S. Sridharan, E. H. Lyall, K. Chesnov, S. G. Brohawn, L. Waller, H. Adesnik, Nat. Neurosci. 2018, 21, 881.
C. McClure, K. L. H. Cole, P. Wulff, M. Klugmann, A. J. Murray, J. Visualized Exp. 2011, 57, e3348.
a) J. Schindelin, I. Arganda-Carreras, E. Frise, V. Kaynig, M. Longair, T. Pietzsch, S. Preibisch, C. Rueden, S. Saalfeld, B. Schmid, J. Y. Tinevez, D. J. White, V. Hartenstein, K. Eliceiri, P. Tomancak, A. Cardona, Nat. Methods 2012, 9, 676;
b) C. A. Schneider, W. S. Rasband, K. W. Eliceiri, Nat. Methods 2012, 9, 671.

Auteurs

Andrew Morton (A)

Organic Semiconductor Centre, SUPA School of Physics and Astronomy, University of St Andrews, North Haugh, KY16 9SS, St Andrews, UK.

Caroline Murawski (C)

Organic Semiconductor Centre, SUPA School of Physics and Astronomy, University of St Andrews, North Haugh, KY16 9SS, St Andrews, UK.

Yali Deng (Y)

Organic Semiconductor Centre, SUPA School of Physics and Astronomy, University of St Andrews, North Haugh, KY16 9SS, St Andrews, UK.

Changmin Keum (C)

Organic Semiconductor Centre, SUPA School of Physics and Astronomy, University of St Andrews, North Haugh, KY16 9SS, St Andrews, UK.

Gareth B Miles (GB)

School of Psychology and Neuroscience, University of St Andrews, St Mary's Quad, South Street, KY16 9JP, St Andrews, UK.

Javier A Tello (JA)

School of Medicine, University of St Andrews, Medical and Biological Sciences Building North Haugh, KY16 9TF, St Andrews, UK.

Malte C Gather (MC)

Organic Semiconductor Centre, SUPA School of Physics and Astronomy, University of St Andrews, North Haugh, KY16 9SS, St Andrews, UK.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH