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      OptoGap is an optogenetics-enabled assay for quantification of cell–cell coupling in multicellular cardiac tissue

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          Abstract

          Intercellular electrical coupling is an essential means of communication between cells. It is important to obtain quantitative knowledge of such coupling between cardiomyocytes and non-excitable cells when, for example, pathological electrical coupling between myofibroblasts and cardiomyocytes yields increased arrhythmia risk or during the integration of donor (e.g., cardiac progenitor) cells with native cardiomyocytes in cell-therapy approaches. Currently, there is no direct method for assessing heterocellular coupling within multicellular tissue. Here we demonstrate experimentally and computationally a new contactless assay for electrical coupling, OptoGap, based on selective illumination of inexcitable cells that express optogenetic actuators and optical sensing of the response of coupled excitable cells (e.g., cardiomyocytes) that are light-insensitive. Cell–cell coupling is quantified by the energy required to elicit an action potential via junctional current from the light-stimulated cell(s). The proposed technique is experimentally validated against the standard indirect approach, GapFRAP, using light-sensitive cardiac fibroblasts and non-transformed cardiomyocytes in a two-dimensional setting. Its potential applicability to the complex three-dimensional setting of the native heart is corroborated by computational modelling and proper calibration. Lastly, the sensitivity of OptoGap to intrinsic cell-scale excitability is robustly characterized via computational analysis.

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          Most cited references71

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          Independent Optical Excitation of Distinct Neural Populations

          Optogenetic tools enable the causal examination of how specific cell types contribute to brain circuit functions. A long-standing question is whether it is possible to independently activate two distinct neural populations in mammalian brain tissue. Such a capability would enable the examination of how different synapses or pathways interact to support computation. Here we report two new channelrhodopsins, Chronos and Chrimson, obtained through the de novo sequencing and physiological characterization of opsins from over 100 species of algae. Chrimson is 45 nm red-shifted relative to any previous channelrhodopsin, important for scenarios where red light would be preferred; we show minimal visual system mediated behavioral artifact in optogenetically stimulated Drosophila. Chronos has faster kinetics than any previous channelrhodopsin, yet is effectively more light-sensitive. Together, these two reagents enable crosstalk-free two-color activation of neural spiking and downstream synaptic transmission in independent neural populations in mouse brain slice.
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            ReaChR: A red-shifted variant of channelrhodopsin enables deep transcranial optogenetic excitation

            Channelrhodopsins are used to optogenetically depolarize neurons. We engineered a variant of channelrhodopsin, denoted Re d- a ctivatable Ch annel r hodopsin (ReaChR), that is optimally excited with orange to red light (λ ~ 590 to 630 nm) and offers improved membrane trafficking, higher photocurrents, and faster kinetics compared with existing red-shifted channelrhodopsins. Red light is more weakly scattered by tissue and absorbed less by blood than the blue to green wavelengths required by other channelrhodopsin variants. ReaChR expressed in vibrissa motor cortex was used to drive spiking and vibrissa motion in awake mice when excited with red light through intact skull. Precise vibrissa movements were evoked by expressing ReaChR in the facial motor nucleus in the brainstem and illuminating with red light through the external auditory canal. Thus, ReaChR enables transcranial optical activation of neurons in deep brain structures without the need to surgically thin the skull, form a transcranial window, or implant optical fibers.
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              Macrophages Facilitate Electrical Conduction in the Heart

              Organ-specific functions of tissue-resident macrophages in the steady-state heart are unknown. Here we show that cardiac macrophages facilitate electrical conduction through the distal atrioventricular node, where conducting cells densely intersperse with elongated macrophages expressing connexin 43. When coupled to spontaneously beating cardiomyocytes via connexin 43-containing gap junctions, cardiac macrophages have a negative resting membrane potential and depolarize in synchrony with cardiomyocytes. Conversely, macrophages render the resting membrane potential of cardiomyocytes more positive and, according to computational modeling, accelerate their repolarization. Photostimulation of channelrhodopsin 2-expressing macrophages improves atrioventricular conduction, while conditional deletion of connexin 43 in macrophages and congenital lack of macrophages delay atrioventricular conduction. In the Cd11b DTR mouse, macrophage ablation induces progressive atrioventricular block. These observations implicate macrophages in normal and aberrant cardiac conduction.
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                Author and article information

                Contributors
                entcheva@gwu.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                29 April 2021
                29 April 2021
                2021
                : 11
                : 9310
                Affiliations
                [1 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Department of Biomedical Engineering, , Johns Hopkins University, ; Baltimore, MD USA
                [2 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Institute for Computational Medicine, , Johns Hopkins University, ; Baltimore, MD USA
                [3 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Bioengineering, , University of Washington, ; Seattle, WA USA
                [4 ]GRID grid.34477.33, ISNI 0000000122986657, Institute for Stem Cell and Regenerative Medicine, , University of Washington, ; Seattle, WA USA
                [5 ]GRID grid.34477.33, ISNI 0000000122986657, Center for Cardiovascular Biology, , University of Washington, ; Seattle, WA USA
                [6 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Alliance for Cardiovascular Diagnostic and Treatment Innovation, , Johns Hopkins University, ; Baltimore, MD USA
                [7 ]GRID grid.36425.36, ISNI 0000 0001 2216 9681, Department of Biomedical Engineering, , Stony Brook University, ; Stony Brook, NY USA
                [8 ]GRID grid.253615.6, ISNI 0000 0004 1936 9510, Department of Biomedical Engineering, , George Washington University, ; 800 22nd Street NW, Suite 5000, Washington, DC 20052 USA
                Article
                88573
                10.1038/s41598-021-88573-1
                8085001
                33927252
                28c911e6-d9db-40fb-9aa1-c4e173507cd4
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 December 2020
                : 31 March 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01HL126802
                Award ID: R01HL111649
                Award ID: R01HL144157-01A1
                Award Recipient :
                Funded by: National Science Foundation, United States
                Award ID: 1623068
                Award ID: 1705645
                Award ID: 1827535
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                computational biophysics,biomedical engineering,biophotonics,optogenetics,high-throughput screening,fluorescence imaging

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