Spotlight on Pain: Optogenetic Approaches for Interrogating Somatosensory Circuits Bryan A
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Determinants of Channelrhodopsin Ion Selectivity
Structural foundations of optogenetics: Determinants of channelrhodopsin ion selectivity Andre Berndta,1, Soo Yeun Leea,1, Jonas Wietekb,1, Charu Ramakrishnana, Elizabeth E. Steinbergc,d, Asim J. Rashide, Hoseok Kimf, Sungmo Parke, Adam Santoroe, Paul W. Franklande, Shrivats M. Iyera, Sally Paka, Sofie Ährlund-Richterf, Scott L. Delpa, Robert C. Malenkac,d, Sheena A. Josselyne, Marie Carlénf, Peter Hegemannb, and Karl Deisserotha,c,g,2 aDepartment of Bioengineering, Stanford University, Stanford, CA 94305; bInstitute for Biology, Experimental Biophysics, Humboldt Universität zu Berlin, D-10115 Berlin, Germany; cDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305; dNancy Pritzker Laboratory, Stanford University, Stanford, CA 94305; eProgram in Neurosciences and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada M5G 1X8; fDepartment of Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden; and gHoward Hughes Medical Institute, Stanford University, Stanford, CA 94305 This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2012. Contributed by Karl Deisseroth, November 30, 2015 (sent for review November 16, 2015; reviewed by Lily Yeh Jan and Anatol Kreitzer) The structure-guided design of chloride-conducting channelrhodop- Converging lines of work recently achieved the latter goal; resolving sins has illuminated mechanisms underlying ion selectivity of this the high-resolution structure of channelrhodopsin (7) allowed a remarkable family of light-activated ion channels. The first gener- principled structure-guided approach to engineering for chloride ation of chloride-conducting channelrhodopsins, guided in part by selectivity by testing an electrostatic model for pore function (8, 9). -
Neural Dust: Ultrasonic Biological Interface
Neural Dust: Ultrasonic Biological Interface Dongjin (DJ) Seo Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCB/EECS-2018-146 http://www2.eecs.berkeley.edu/Pubs/TechRpts/2018/EECS-2018-146.html December 1, 2018 Copyright © 2018, by the author(s). All rights reserved. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission. Neural Dust: Ultrasonic Biological Interface by Dongjin Seo A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Engineering - Electrical Engineering and Computer Sciences in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Michel M. Maharbiz, Chair Professor Elad Alon Professor John Ngai Fall 2016 Neural Dust: Ultrasonic Biological Interface Copyright 2016 by Dongjin Seo 1 Abstract Neural Dust: Ultrasonic Biological Interface by Dongjin Seo Doctor of Philosophy in Engineering - Electrical Engineering and Computer Sciences University of California, Berkeley Professor Michel M. Maharbiz, Chair A seamless, high density, chronic interface to the nervous system is essential to enable clinically relevant applications such as electroceuticals or brain-machine interfaces (BMI). Currently, a major hurdle in neurotechnology is the lack of an implantable neural interface system that remains viable for a patient's lifetime due to the development of biological response near the implant. -
Perceiving Invisible Light Through a Somatosensory Cortical Prosthesis
ARTICLE Received 24 Aug 2012 | Accepted 15 Jan 2013 | Published 12 Feb 2013 DOI: 10.1038/ncomms2497 Perceiving invisible light through a somatosensory cortical prosthesis Eric E. Thomson1,2, Rafael Carra1,w & Miguel A.L. Nicolelis1,2,3,4,5 Sensory neuroprostheses show great potential for alleviating major sensory deficits. It is not known, however, whether such devices can augment the subject’s normal perceptual range. Here we show that adult rats can learn to perceive otherwise invisible infrared light through a neuroprosthesis that couples the output of a head-mounted infrared sensor to their soma- tosensory cortex (S1) via intracortical microstimulation. Rats readily learn to use this new information source, and generate active exploratory strategies to discriminate among infrared signals in their environment. S1 neurons in these infrared-perceiving rats respond to both whisker deflection and intracortical microstimulation, suggesting that the infrared repre- sentation does not displace the original tactile representation. Hence, sensory cortical prostheses, in addition to restoring normal neurological functions, may serve to expand natural perceptual capabilities in mammals. 1 Department of Neurobiology, Duke University, Box 3209, 311 Research Drive, Bryan Research, Durham, North Carolina 27710, USA. 2 Edmond and Lily Safra International Institute for Neuroscience of Natal (ELS-IINN), Natal 01257050, Brazil. 3 Department of Biomedical Engineering, Duke University, Durham, North Carolina 27710, USA. 4 Department of Psychology and Neuroscience, Duke University, Durham, North Carolina 27710, USA. 5 Center for Neuroengineering, Duke University, Durham, North Carolina 27710, USA. w Present address: University of Sao Paulo School of Medicine, Sao Paulo 01246-000, Brazil. Correspondence and requests for materials should be addressed to M.A.L.N. -
A Voltage-Dependent Fluorescent Indicator for Optogenetic Applications, Archaerhodopsin-3: Structure and Optical Properties
F1000Research 2017, 6:33 Last updated: 30 JUL 2021 RESEARCH NOTE A voltage-dependent fluorescent indicator for optogenetic applications, archaerhodopsin-3: Structure and optical properties from in silico modeling [version 3; peer review: 3 approved] Dmitrii M. Nikolaev1, Anton Emelyanov1, Vitaly M. Boitsov1, Maxim S Panov2, Mikhail N. Ryazantsev 2,3 1Saint-Petersburg National Research Academic University of the Russian Academy of Science, St. Petersburg, Russian Federation 2Saint-Petersburg State University, St. Petersburg, Russian Federation 3Saint-Petersburg Scientific Center of the Russian Academy of Sciences, St. Petersburg, Russian Federation v3 First published: 11 Jan 2017, 6:33 Open Peer Review https://doi.org/10.12688/f1000research.10541.1 Second version: 17 Jan 2017, 6:33 https://doi.org/10.12688/f1000research.10541.2 Reviewer Status Latest published: 15 Nov 2017, 6:33 https://doi.org/10.12688/f1000research.10541.3 Invited Reviewers 1 2 3 Abstract It was demonstrated in recent studies that some rhodopsins can be version 3 used in optogenetics as fluorescent indicators of membrane voltage. (revision) report report One of the promising candidates for these applications is 15 Nov 2017 archaerhodopsin-3. While it has already shown encouraging results, there is still a large room for improvement. One of possible directions version 2 is increasing the intensity of the protein's fluorescent signal. Rational (revision) report report report design of mutants with an improved signal is an important task, which 17 Jan 2017 requires both experimental and theoretical studies. Herein, we used a homology-based computational approach to predict the three- version 1 dimensional structure of archaerhodopsin-3, and a Quantum 11 Jan 2017 Mechanics/Molecular Mechanics (QM/MM) hybrid approach with high- level multireference ab initio methodology (SORCI+Q/AMBER) to 1. -
Optogenetics Controlling Neurons with Photons
Valerie C. Coffey Optogenetics Controlling Neurons with Photons An advancing field of neuroscience uses light to understand how the brain works and to create new tools to treat disease. Wireless optogenetics tools like these tiny implants in live mice are enabling scientists to map the stimulation of certain neurons of the brain to specific responses. J. Rogers/Northwestern Univ. 24 OPTICS & PHOTONICS NEWS APRIL 2018 APRIL 2018 OPTICS & PHOTONICS NEWS 25 In just over a decade, the discovery of numerous opsins with different specializations has allowed scientists and engineers to make rapid progress in mapping brain activity. wo thousand years ago, ancient Egyptians halorhodopsin can silence the neurons in the hypo- knew that the electrical shocks of torpedo thalamus, inducing sleep in living mice. fish, applied to the body, could offer pain In just over a decade, the discovery of numerous relief. Two hundred years ago, physicians opsins with different specializations has allowed scien- understood that electrical stimulation of a tists and engineers to make rapid progress in mapping Tfrog’s spine could control muscle contraction. Today, brain activity, motivated by the hope of solving intrac- electrical therapy underlies many treatments, from table neurological conditions. And it doesn’t hurt that pacemakers to pain control. investment in neuroscience research has grown at the But neuroscience has long awaited a more precise same time. tool for controlling specific types of neurons. Electrical In 2013, the Obama administration announced a stimulation (e-stim) approaches stimulate a large area collaborative public-private effort, the Brain Research without precise spatial control, and can’t distinguish through Advancing Innovative Neurotechnologies between different cell types. -
Computational Neuroscience Meets Optogenetics: Unlocking the Brain’S Secrets
Health & Medicine ︱ Prof Simon Schultz and Dr Konstantin Nikolic Computational neuroscience meets optogenetics: Unlocking the brain’s secrets Working at the interface omposed of billions of specialised responsible for perception, action Simplified models allow researchers to study how the geometry of a neuron’s “dendritic tree” affects its ability to process information. between engineering and nerve cells (called neurons) wired and memory. But this is changing. neuroscience, Professor Simon C together in complex, intricate Schultz and Dr Konstantin webs, the brain is inherently challenging LET THERE BE LIGHT Nikolic at Imperial College to study. Neurons communicate with A powerful new tool (invented by Boyden of Neurotechnology and Director of SHEDDING LIGHT ON THE BRAIN AN INSIGHT INTO NEURONAL GAIN London are developing tools each other by transmitting electrical and and Deisseroth just a little over a decade the Imperial Centre of Excellence in Their innovative approach uses Using two biophysical models of to help us understand the chemical signals along neural circuits: ago) allows researchers to map the brain’s Neurotechnology, Dr Konstantin Nikolic, sophisticated two-photon microscopy, neurons, genetically-modified to include intricate workings of the brain. signals that vary both in space and time. connections, giving unprecedented Associate Professor in the Department optogenetics and electrophysiology two distinct light-sensitive proteins Combining a revolutionary Until now, technical limitations in the access to the workings of the brain. Its of Electrical and Electronic Engineering, to measure (and disturb) patterns of (called opsins): channelrhodopsin-2 technology – optogenetics available research methods to study the impressive resolution enables precise and Dr Sarah Jarvis are taking a unique neuronal activity in vivo (in living tissue). -
Mousecircuits.Org: an Online Repository to Guide the Circuit Era of Disordered Affect
bioRxiv preprint doi: https://doi.org/10.1101/2020.02.16.951608; this version posted February 17, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. MouseCircuits.org: An online repository to guide the circuit era of disordered affect Kristin R. Anderson ID 1,2 and Dani Dumitriu ID 1,2 1Columbia University, Departments of Pediatrics and Psychiatry, New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032 2Columbia University, Zuckerman Institute, 3227 Broadway, New York, NY 10027 Affective disorders rank amongst the most disruptive and tem and the gut microbiome (2,3). However, the mysteries of prevalent psychiatric diseases, resulting in enormous societal the brain, a structure with idiosyncratic and interconnected and economic burden, and immeasurable personal costs. Novel architecture, are unlikely to be revealed solely on the basis of therapies are urgently needed but have remained elusive. The this type of sledgehammer approach. era of circuit-mapping in rodent models of disordered affect, ushered in by recent technological advancements allowing for Enter the era of circuit dissection. In the last precise and specific neural control, has reenergized the hope for decade, groundbreaking technological advances have al- precision psychiatry. Here, we present a novel whole-brain cu- lowed neuroscientists to take control of neural firing with mulative network and critically access the progress made to- impressive precision and specificity (Figure 1) (4–7). -
An Embedded Real-Time Processing Platform for Optogenetic Neuroprosthetic Applications
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, VOL. 26, NO. 1, JANUARY 2018 233 An Embedded Real-Time Processing Platform for Optogenetic Neuroprosthetic Applications Boyuan Yan and Sheila Nirenberg Abstract— Optogenetics offers a powerful new approach temporal resolution. Since these proteins require bright for controlling neural circuits. It has numerous applica- light [23], [24], standard high resolution devices such as LCD tions in both basic and clinical science. These applications monitors are ineffective. While laser or LED-based illumi- require stimulating devices with small processors that can perform real-time neural signal processing, deliver high- nation systems can meet the requirements of light intensity, intensity light with high spatial and temporal resolution, they are not readily suitable for providing spatially-patterned and do not consume a lot of power. In this paper, we stimuli. Digital light processing (DLP) projectors, however demonstrate the implementation of neuronal models in a can achieve this: the key component, a chip called Digital platform consisting of an embedded system module and Micromirror Device (DMD) [25], consists of an array of a portable digital light processing projector. As a replace- ment for damaged neural circuitry, the embedded module several hundred thousand micromirrors, which can change processes neural signals and then directs the projector to position at kHz frequencies. These offer the most flexibility in optogenetically activate a downstream neural pathway. We terms of the spatial and temporal modulation of the activating present a design in the context of stimulating circuits in the light. visual system, but the approach is feasible for a broad range In addition to an effective stimulator, the other essential of biomedical applications. -
Optogenetic Investigation of Neural Circuits in Vivo
Review Optogenetic investigation of neural circuits in vivo Matthew E. Carter and Luis de Lecea Neurosciences Program and Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA The recent development of light-activated optogenetic probes are activated by light (‘opto-’) and are genetically- probes allows for the identification and manipulation of encoded (‘-genetics’), allowing for the direct control specific neural populations and their connections in of specific populations of cells in vitro and in vivo awake animals with unprecedented spatial and temporal (Figure 1) [19–23]. The unprecedented spatial and tempo- precision. This review describes the use of optogenetic ral precision of these tools has allowed substantial progress tools to investigate neurons and neural circuits in vivo. in elucidating the structure and function of previously We describe the current panel of optogenetic probes, intractable neural circuits. methods of targeting these probes to specific cell types This review highlights the use of optogenetic probes to in the nervous system, and strategies of photostimulat- investigate neural circuits in vivo. We survey the diversity of ing cells in awake, behaving animals. Finally, we survey optogenetic tools in behavioral neuroscience, discussing the application of optogenetic tools to studying func- common strategies of cell-type specific targeting and in vivo tional neuroanatomy, behavior and the etiology and light delivery. We also describe common and theoretical treatment of various neurological disorders. methods for investigating neural circuits in awake, behav- ing animals and review some of the optogenetic studies that Optogenetics represent important progress in our understanding of neu- The mammalian brain is composed of billions of neurons ral circuits in normal behavior and disease. -
Han-Optogenetic-Review-ACS-2012.Pdf
Review pubs.acs.org/chemneuro In Vivo Application of Optogenetics for Neural Circuit Analysis Xue Han Biomedical Engineering Department, Boston University, Boston, Massachusetts, United States ABSTRACT: Optogenetics combines optical and genetic methods to rapidly and reversibly control neural activities or other cellular functions. Using genetic methods, specific cells or anatomical pathways can be sensitized to light through exogenous expression of microbial light activated opsin proteins. Using optical methods, opsin expressing cells can be rapidly and reversibly controlled by pulses of light of specific wavelength. With the high spatial temporal precision, optogenetic tools have enabled new ways to probe the causal role of specific cells in neural computation and behavior. Here, we overview the current state of the technology, and provide a brief introduction to the practical considerations in applying optogenetics in vivo to analyze neural circuit functions. KEYWORDS: Channelrhodopsin, archaerhodopsin, halorhodopsin, cell type specificity ptogenetics is a new field being rapidly established upon algae), and others that mediate a variety of cellular functions O the first demonstration of precise activation of neurons (for reviews on opsin structure and function, see refs 9 and 10). expressing a light-activated microbial opsin, channelrhodopsin- Most sensory rhodopsins function through recruiting intra- 2, with pulses of blue light in 2005.1 Microbial (type I) opsins cellular signaling molecules without direct ion transport are classes of monolithic light activated proteins, encoded by function. However, channelrhodopsins can mediate phototaxis small genes of under a kilobase long. Three major classes of as a light-gated cation channel at high light intensity and as a microbial opsins have been adapted to optogenetically control calcium channel at low light intensity.11 cellular functions, channelrhodopsins, halorhodopsins, and Microbial opsins share sequence homology and are archaerhodopsins (Figure 1). -
Perfecting Chr2
RESEARCH HIGHLIGHTS NEUROSCIENCE Perfecting ChR2 Two new reports describe variants of chan- but in a typical neurobiology experiment nelrhodopsin 2 with improved properties. the channel is thought to transport mostly Channelrhodopsin 2 (ChR2) has been a sodium ions. If one were to slightly increase godsend tool to study brain function. This the number of calcium ions transported, protein—originally found in tiny algae— the group reasoned, this could result in is a membrane-ion channel that opens up improvements in the channel’s performance in response to pulses of light, producing a for neuronal activation. change in the membrane potential of charged By modifying one residue in wild-type cells. Algae use ChR2 to signal the presence ChR2, the group generated a mutant with of light and trigger their swimming away or higher calcium permeability, called ‘CatCh’ toward it in the pond; neuroscientists, after (Kleinlogel et al., 2011). In nonneuronal ‘transplanting’ ChR2 into neurons, use it to Image of a neuron expressing the TC mutant, and cells, CatCh’s modest preference for cal- provoke light-triggered action potentials in its spiking trace. Image courtesy of T. Oertner. cium ions elicits approximately three times cells embedded deep in brain tissue. Not sur- higher currents and a slight slowdown of its prisingly, some of ChR2’s natural properties As with previous higher-current ChR2 kinetics compared to wild-type ChR2. But are not exactly ideal for this purpose. mutants, however, the closure of the TC surprisingly, when expressed in neurons, In particular, the channel’s small cur- mutant’s ion channel after a light stimulus is the group saw a nearly 70-fold increase in rents and slow kinetics still limit the poten- slightly slowed down. -
Activation of Distinct Channelrhodopsin Variants Engages Different Patterns of Network Activity
New Research Sensory and Motor Systems Activation of Distinct Channelrhodopsin Variants Engages Different Patterns of Network Activity Na Young Jun1 and Jessica A. Cardin2,3 https://doi.org/10.1523/ENEURO.0222-18.2019 1Department of Ophthalmology, Yale University, New Haven, CT 06520, 2Department of Neuroscience, Yale University, New Haven, CT 06520, and 3Kavli Institute for Neuroscience, Yale University, New Haven, CT 06520 Abstract Several recently developed Channelrhodopsin (ChR) variants are characterized by rapid kinetics and reduced desensitization in comparison to the widely used ChR2. However, little is known about how varying opsin properties may regulate their interaction with local network dynamics. We compared evoked cortical activity in mice expressing three ChR variants with distinct temporal profiles under the CamKII promoter: Chronos, Chrimson, and ChR2. We assessed overall neural activation by measuring the amplitude and temporal progres- sion of evoked spiking. Using ␥-range (30–80 Hz) local field potential (LFP) power as an assay for local network engagement, we examined the recruitment of cortical network activity by each tool. All variants caused light-evoked increases in firing in vivo, but each demonstrated different temporal patterning of evoked activity. In addition, the three ChRs had distinct effects on cortical ␥-band activity. Our findings suggest the properties of optogenetic tools can substantially affect their efficacy in vivo, as well their engagement of circuit resonance. Key words: Channelrhodopsin; Chrimson; Chronos; cortex; ␥ oscillations; optogenetics Significance Statement Genetically modified opsins are some of the most widely used experimental tools in modern neuroscience. However, although these tools are well characterized at the single-cell level, little is known about how the varying properties of the opsins affect their interactions with active neural networks in vivo.