1
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Muir J, Anguiano M, Kim CK. Neuromodulator and neuropeptide sensors and probes for precise circuit interrogation in vivo. Science 2024; 385:eadn6671. [PMID: 39325905 DOI: 10.1126/science.adn6671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 07/01/2024] [Indexed: 09/28/2024]
Abstract
To determine how neuronal circuits encode and drive behavior, it is often necessary to measure and manipulate different aspects of neurochemical signaling in awake animals. Optogenetics and calcium sensors have paved the way for these types of studies, allowing for the perturbation and readout of spiking activity within genetically defined cell types. However, these methods lack the ability to further disentangle the roles of individual neuromodulator and neuropeptides on circuits and behavior. We review recent advances in chemical biology tools that enable precise spatiotemporal monitoring and control over individual neuroeffectors and their receptors in vivo. We also highlight discoveries enabled by such tools, revealing how these molecules signal across different timescales to drive learning, orchestrate behavioral changes, and modulate circuit activity.
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Affiliation(s)
- J Muir
- Center for Neuroscience, University of California, Davis, Davis, CA 95618, USA
- Department of Neurology, School of Medicine, University of California, Davis, Sacramento, CA 95817, USA
| | - M Anguiano
- Neuroscience Graduate Group, University zof California, Davis, Davis, CA 95616, USA
| | - C K Kim
- Center for Neuroscience, University of California, Davis, Davis, CA 95618, USA
- Department of Neurology, School of Medicine, University of California, Davis, Sacramento, CA 95817, USA
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2
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Bremshey S, Groß J, Renken K, Masseck OA. The role of serotonin in depression-A historical roundup and future directions. J Neurochem 2024; 168:1751-1779. [PMID: 38477031 DOI: 10.1111/jnc.16097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 02/26/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024]
Abstract
Depression is one of the most common psychiatric disorders worldwide, affecting approximately 280 million people, with probably much higher unrecorded cases. Depression is associated with symptoms such as anhedonia, feelings of hopelessness, sleep disturbances, and even suicidal thoughts. Tragically, more than 700 000 people commit suicide each year. Although depression has been studied for many decades, the exact mechanisms that lead to depression are still unknown, and available treatments only help a fraction of patients. In the late 1960s, the serotonin hypothesis was published, suggesting that serotonin is the key player in depressive disorders. However, this hypothesis is being increasingly doubted as there is evidence for the influence of other neurotransmitters, such as noradrenaline, glutamate, and dopamine, as well as larger systemic causes such as altered activity in the limbic network or inflammatory processes. In this narrative review, we aim to contribute to the ongoing debate on the involvement of serotonin in depression. We will review the evolution of antidepressant treatments, systemic research on depression over the years, and future research applications that will help to bridge the gap between systemic research and neurotransmitter dynamics using biosensors. These new tools in combination with systemic applications, will in the future provide a deeper understanding of the serotonergic dynamics in depression.
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Affiliation(s)
- Svenja Bremshey
- Synthetic Biology, University of Bremen, Bremen, Germany
- Neuropharmacology, University of Bremen, Bremen, Germany
| | - Juliana Groß
- Synthetic Biology, University of Bremen, Bremen, Germany
| | - Kim Renken
- Synthetic Biology, University of Bremen, Bremen, Germany
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3
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Pisano F, Collard L, Zheng D, Kashif MF, Kazemzadeh M, Balena A, Piscopo L, Andriani MS, De Vittorio M, Pisanello F. Potential of plasmonics and nanoscale light-matter interactions for the next generation of optical neural interfaces. NEUROPHOTONICS 2024; 11:S11513. [PMID: 39119220 PMCID: PMC11309004 DOI: 10.1117/1.nph.11.s1.s11513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 07/02/2024] [Accepted: 07/15/2024] [Indexed: 08/10/2024]
Abstract
Within the realm of optical neural interfaces, the exploration of plasmonic resonances to interact with neural cells has captured increasing attention among the neuroscience community. The interplay of light with conduction electrons in nanometer-sized metallic nanostructures can induce plasmonic resonances, showcasing a versatile capability to both sense and trigger cellular events. We describe the perspective of generating propagating or localized surface plasmon polaritons on the tip of an optical neural implant, widening the possibility for neuroscience labs to explore the potential of plasmonic neural interfaces.
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Affiliation(s)
- Filippo Pisano
- Istituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano (Lecce), Italy
- University of Padua, Department of Physics and Astronomy “G. Galilei” Padua, Italy
| | - Liam Collard
- Istituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano (Lecce), Italy
- RAISE Ecosystem, Genova, Italy
| | - Di Zheng
- Istituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano (Lecce), Italy
| | - Muhammad Fayyaz Kashif
- Istituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano (Lecce), Italy
| | - Mohammadrahim Kazemzadeh
- Istituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano (Lecce), Italy
| | - Antonio Balena
- Istituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano (Lecce), Italy
| | - Linda Piscopo
- Istituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano (Lecce), Italy
- Università del Salento, Dipartimento di Ingegneria Dell’Innovazione, Lecce, Italy
| | - Maria Samuela Andriani
- Istituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano (Lecce), Italy
- Università del Salento, Dipartimento di Ingegneria Dell’Innovazione, Lecce, Italy
| | - Massimo De Vittorio
- Istituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano (Lecce), Italy
- RAISE Ecosystem, Genova, Italy
- Università del Salento, Dipartimento di Ingegneria Dell’Innovazione, Lecce, Italy
| | - Ferruccio Pisanello
- Istituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano (Lecce), Italy
- RAISE Ecosystem, Genova, Italy
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4
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Cola RB, Niethammer SN, Rajamannar P, Gresch A, Bhat MA, Assoumou K, Williams ET, Hauck P, Hartrampf N, Benke D, Stoeber M, Levkowitz G, Melzer S, Patriarchi T. Probing PAC1 receptor activation across species with an engineered sensor. eLife 2024; 13:RP96496. [PMID: 39145773 PMCID: PMC11326774 DOI: 10.7554/elife.96496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/16/2024] Open
Abstract
Class-B1 G-protein-coupled receptors (GPCRs) are an important family of clinically relevant drug targets that remain difficult to investigate via high-throughput screening and in animal models. Here, we engineered PAClight1P78A, a novel genetically encoded sensor based on a class-B1 GPCR (the human PAC1 receptor, hmPAC1R) endowed with high dynamic range (ΔF/F0 = 1100%), excellent ligand selectivity, and rapid activation kinetics (τON = 1.15 s). To showcase the utility of this tool for in vitro applications, we thoroughly characterized and compared its expression, brightness and performance between PAClight1P78A-transfected and stably expressing cells. Demonstrating its use in animal models, we show robust expression and fluorescence responses upon exogenous ligand application ex vivo and in vivo in mice, as well as in living zebrafish larvae. Thus, the new GPCR-based sensor can be used for a wide range of applications across the life sciences empowering both basic research and drug development efforts.
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Affiliation(s)
- Reto B Cola
- Institute of Pharmacology and Toxicology, University of Zürich, Zurich, Switzerland
| | - Salome N Niethammer
- Medical University of Vienna, Center for Brain Research, Department for Neuronal Cell Biology, Vienna, Austria
| | - Preethi Rajamannar
- Department of Molecular Neuroscience & Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Andrea Gresch
- Institute of Pharmacology and Toxicology, University of Zürich, Zurich, Switzerland
| | - Musadiq A Bhat
- Institute of Pharmacology and Toxicology, University of Zürich, Zurich, Switzerland
| | - Kevin Assoumou
- Department of Cell Physiology and Metabolism, University of Geneva, Geneva, Switzerland
| | - Elyse T Williams
- Department of Chemistry, University of Zürich, Zürich, Switzerland
| | - Patrick Hauck
- Department of Chemistry, University of Zürich, Zürich, Switzerland
| | - Nina Hartrampf
- Department of Chemistry, University of Zürich, Zürich, Switzerland
| | - Dietmar Benke
- Institute of Pharmacology and Toxicology, University of Zürich, Zurich, Switzerland
- Neuroscience Center Zurich, University and ETH Zürich, Zürich, Switzerland
| | - Miriam Stoeber
- Department of Cell Physiology and Metabolism, University of Geneva, Geneva, Switzerland
| | - Gil Levkowitz
- Department of Molecular Neuroscience & Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Sarah Melzer
- Medical University of Vienna, Center for Brain Research, Department for Neuronal Cell Biology, Vienna, Austria
| | - Tommaso Patriarchi
- Institute of Pharmacology and Toxicology, University of Zürich, Zurich, Switzerland
- Neuroscience Center Zurich, University and ETH Zürich, Zürich, Switzerland
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5
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Xu Y, Lin Y, Yu M, Zhou K. The nucleus accumbens in reward and aversion processing: insights and implications. Front Behav Neurosci 2024; 18:1420028. [PMID: 39184934 PMCID: PMC11341389 DOI: 10.3389/fnbeh.2024.1420028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 07/26/2024] [Indexed: 08/27/2024] Open
Abstract
The nucleus accumbens (NAc), a central component of the brain's reward circuitry, has been implicated in a wide range of behaviors and emotional states. Emerging evidence, primarily drawing from recent rodent studies, suggests that the function of the NAc in reward and aversion processing is multifaceted. Prolonged stress or drug use induces maladaptive neuronal function in the NAc circuitry, which results in pathological conditions. This review aims to provide comprehensive and up-to-date insights on the role of the NAc in motivated behavior regulation and highlights areas that demand further in-depth analysis. It synthesizes the latest findings on how distinct NAc neuronal populations and pathways contribute to the processing of opposite valences. The review examines how a range of neuromodulators, especially monoamines, influence the NAc's control over various motivational states. Furthermore, it delves into the complex underlying mechanisms of psychiatric disorders such as addiction and depression and evaluates prospective interventions to restore NAc functionality.
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Affiliation(s)
| | | | | | - Kuikui Zhou
- School of Health and Life Sciences, University of Health and Rehabilitation Sciences, Qingdao, China
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6
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Labouesse MA, Wilhelm M, Kagiampaki Z, Yee AG, Denis R, Harada M, Gresch A, Marinescu AM, Otomo K, Curreli S, Serratosa Capdevila L, Zhou X, Cola RB, Ravotto L, Glück C, Cherepanov S, Weber B, Zhou X, Katner J, Svensson KA, Fellin T, Trudeau LE, Ford CP, Sych Y, Patriarchi T. A chemogenetic approach for dopamine imaging with tunable sensitivity. Nat Commun 2024; 15:5551. [PMID: 38956067 PMCID: PMC11219860 DOI: 10.1038/s41467-024-49442-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 06/05/2024] [Indexed: 07/04/2024] Open
Abstract
Genetically-encoded dopamine (DA) sensors enable high-resolution imaging of DA release, but their ability to detect a wide range of extracellular DA levels, especially tonic versus phasic DA release, is limited by their intrinsic affinity. Here we show that a human-selective dopamine receptor positive allosteric modulator (PAM) can be used to boost sensor affinity on-demand. The PAM enhances DA detection sensitivity across experimental preparations (in vitro, ex vivo and in vivo) via one-photon or two-photon imaging. In vivo photometry-based detection of optogenetically-evoked DA release revealed that DETQ administration produces a stable 31 minutes window of potentiation without effects on animal behavior. The use of the PAM revealed region-specific and metabolic state-dependent differences in tonic DA levels and enhanced single-trial detection of behavior-evoked phasic DA release in cortex and striatum. Our chemogenetic strategy can potently and flexibly tune DA imaging sensitivity and reveal multi-modal (tonic/phasic) DA signaling across preparations and imaging approaches.
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Affiliation(s)
- Marie A Labouesse
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
- Neuroscience Center Zurich, University and ETH Zürich, Zürich, Switzerland
- Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - Maria Wilhelm
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
- Institute for Neuroscience, ETH Zurich, Zurich, Switzerland
| | | | - Andrew G Yee
- Department of Pharmacology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Raphaelle Denis
- Department of Pharmacology & Physiology, Faculty of Medicine, SNC and CIRCA Research groups, Université de Montréal, Montréal, QC, Canada
- Department of Neurosciences, Faculty of Medicine, SNC and CIRCA Research groups, Université de Montréal, Montréal, QC, Canada
| | - Masaya Harada
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Andrea Gresch
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | | | - Kanako Otomo
- Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - Sebastiano Curreli
- Optical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy
| | | | - Xuehan Zhou
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Reto B Cola
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Luca Ravotto
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Chaim Glück
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Stanislav Cherepanov
- Institute of Cellular and Integrative Neuroscience, University of Strasbourg, Strasbourg, France
| | - Bruno Weber
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
- Neuroscience Center Zurich, University and ETH Zürich, Zürich, Switzerland
| | - Xin Zhou
- Eli Lilly and Company, Indianapolis, IN, USA
| | | | | | - Tommaso Fellin
- Optical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy
| | - Louis-Eric Trudeau
- Department of Pharmacology & Physiology, Faculty of Medicine, SNC and CIRCA Research groups, Université de Montréal, Montréal, QC, Canada
- Department of Neurosciences, Faculty of Medicine, SNC and CIRCA Research groups, Université de Montréal, Montréal, QC, Canada
| | - Christopher P Ford
- Department of Pharmacology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Yaroslav Sych
- Institute of Cellular and Integrative Neuroscience, University of Strasbourg, Strasbourg, France
| | - Tommaso Patriarchi
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland.
- Neuroscience Center Zurich, University and ETH Zürich, Zürich, Switzerland.
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7
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Zhou X, Stine C, Prada PO, Fusca D, Assoumou K, Dernic J, Bhat MA, Achanta AS, Johnson JC, Pasqualini AL, Jadhav S, Bauder CA, Steuernagel L, Ravotto L, Benke D, Weber B, Suko A, Palmiter RD, Stoeber M, Kloppenburg P, Brüning JC, Bruchas MR, Patriarchi T. Development of a genetically encoded sensor for probing endogenous nociceptin opioid peptide release. Nat Commun 2024; 15:5353. [PMID: 38918403 PMCID: PMC11199706 DOI: 10.1038/s41467-024-49712-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 06/13/2024] [Indexed: 06/27/2024] Open
Abstract
Nociceptin/orphanin-FQ (N/OFQ) is a recently appreciated critical opioid peptide with key regulatory functions in several central behavioral processes including motivation, stress, feeding, and sleep. The functional relevance of N/OFQ action in the mammalian brain remains unclear due to a lack of high-resolution approaches to detect this neuropeptide with appropriate spatial and temporal resolution. Here we develop and characterize NOPLight, a genetically encoded sensor that sensitively reports changes in endogenous N/OFQ release. We characterized the affinity, pharmacological profile, spectral properties, kinetics, ligand selectivity, and potential interaction with intracellular signal transducers of NOPLight in vitro. Its functionality was established in acute brain slices by exogeneous N/OFQ application and chemogenetic induction of endogenous N/OFQ release from PNOC neurons. In vivo studies with fibre photometry enabled direct recording of NOPLight binding to exogenous N/OFQ receptor ligands, as well as detection of endogenous N/OFQ release within the paranigral ventral tegmental area (pnVTA) during natural behaviors and chemogenetic activation of PNOC neurons. In summary, we show here that NOPLight can be used to detect N/OFQ opioid peptide signal dynamics in tissue and freely behaving animals.
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Affiliation(s)
- Xuehan Zhou
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
- Neuroscience Center Zurich, University and ETH Zürich, Zürich, Switzerland
| | - Carrie Stine
- Center for the Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA, USA
- Departments of Anesthesiology and Pharmacology and Bioengineering, University of Washington, Seattle, WA, USA
- Molecular and Cellular Biology, University of Washington School of Medicine, Seattle, WA, USA
| | - Patricia Oliveira Prada
- Max Planck Institute for Metabolism Research, Cologne, Germany
- Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (CECAD) and Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- School of Applied Sciences, State University of Campinas (UNICAMP), Limeira, Sao Paulo, Brazil
| | - Debora Fusca
- Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (CECAD) and Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Institute of Zoology, Department of Biology, University of Cologne, Cologne, Germany
| | - Kevin Assoumou
- Department of Cell Physiology and Metabolism, University of Geneva, Geneva, Switzerland
| | - Jan Dernic
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Musadiq A Bhat
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Ananya S Achanta
- Center for the Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA, USA
- Departments of Anesthesiology and Pharmacology and Bioengineering, University of Washington, Seattle, WA, USA
| | - Joseph C Johnson
- Center for the Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA, USA
- Departments of Anesthesiology and Pharmacology and Bioengineering, University of Washington, Seattle, WA, USA
| | - Amanda Loren Pasqualini
- Center for the Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA, USA
- Departments of Anesthesiology and Pharmacology and Bioengineering, University of Washington, Seattle, WA, USA
| | - Sanjana Jadhav
- Center for the Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA, USA
- Departments of Anesthesiology and Pharmacology and Bioengineering, University of Washington, Seattle, WA, USA
| | - Corinna A Bauder
- Max Planck Institute for Metabolism Research, Cologne, Germany
- Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (CECAD) and Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Lukas Steuernagel
- Max Planck Institute for Metabolism Research, Cologne, Germany
- Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (CECAD) and Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Luca Ravotto
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Dietmar Benke
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
- Neuroscience Center Zurich, University and ETH Zürich, Zürich, Switzerland
| | - Bruno Weber
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
- Neuroscience Center Zurich, University and ETH Zürich, Zürich, Switzerland
| | - Azra Suko
- Center for the Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA, USA
- Departments of Anesthesiology and Pharmacology and Bioengineering, University of Washington, Seattle, WA, USA
| | - Richard D Palmiter
- Center for the Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute and Departments of Biochemistry and Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Miriam Stoeber
- Department of Cell Physiology and Metabolism, University of Geneva, Geneva, Switzerland
| | - Peter Kloppenburg
- Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (CECAD) and Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Institute of Zoology, Department of Biology, University of Cologne, Cologne, Germany
| | - Jens C Brüning
- Max Planck Institute for Metabolism Research, Cologne, Germany
- Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (CECAD) and Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Policlinic for Endocrinology, Diabetes and Preventive Medicine (PEDP), University Hospital Cologne, Cologne, Germany
| | - Michael R Bruchas
- Center for the Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA, USA.
- Departments of Anesthesiology and Pharmacology and Bioengineering, University of Washington, Seattle, WA, USA.
- Molecular and Cellular Biology, University of Washington School of Medicine, Seattle, WA, USA.
| | - Tommaso Patriarchi
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland.
- Neuroscience Center Zurich, University and ETH Zürich, Zürich, Switzerland.
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8
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Feng J, Dong H, Lischinsky JE, Zhou J, Deng F, Zhuang C, Miao X, Wang H, Li G, Cai R, Xie H, Cui G, Lin D, Li Y. Monitoring norepinephrine release in vivo using next-generation GRAB NE sensors. Neuron 2024; 112:1930-1942.e6. [PMID: 38547869 PMCID: PMC11364517 DOI: 10.1016/j.neuron.2024.03.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 01/21/2024] [Accepted: 03/01/2024] [Indexed: 06/22/2024]
Abstract
Norepinephrine (NE) is an essential biogenic monoamine neurotransmitter. The first-generation NE sensor makes in vivo, real-time, cell-type-specific and region-specific NE detection possible, but its low NE sensitivity limits its utility. Here, we developed the second-generation GPCR-activation-based NE sensors (GRABNE2m and GRABNE2h) with a superior response and high sensitivity and selectivity to NE both in vitro and in vivo. Notably, these sensors can detect NE release triggered by either optogenetic or behavioral stimuli in freely moving mice, producing robust signals in the locus coeruleus and hypothalamus. With the development of a novel transgenic mouse line, we recorded both NE release and calcium dynamics with dual-color fiber photometry throughout the sleep-wake cycle; moreover, dual-color mesoscopic imaging revealed cell-type-specific spatiotemporal dynamics of NE and calcium during sensory processing and locomotion. Thus, these new GRABNE sensors are valuable tools for monitoring the precise spatiotemporal release of NE in vivo, providing new insights into the physiological and pathophysiological roles of NE.
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Affiliation(s)
- Jiesi Feng
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China; PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, New Cornerstone Science Laboratory, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.
| | - Hui Dong
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China; PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, New Cornerstone Science Laboratory, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Julieta E Lischinsky
- Neuroscience Institute, New York University School of Medicine, New York, NY 10016, USA
| | - Jingheng Zhou
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Fei Deng
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China; PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China
| | - Chaowei Zhuang
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - Xiaolei Miao
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China; PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China; Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University, 100020 Beijing, China
| | - Huan Wang
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China; PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China
| | - Guochuan Li
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China
| | - Ruyi Cai
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China
| | - Hao Xie
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - Guohong Cui
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Dayu Lin
- Neuroscience Institute, New York University School of Medicine, New York, NY 10016, USA
| | - Yulong Li
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China; PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, New Cornerstone Science Laboratory, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China; Chinese Institute for Brain Research, Beijing 102206, China; Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, Guangdong 518055, China; National Biomedical Imaging Center, Peking University, Beijing 100871, China.
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9
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Özçete ÖD, Banerjee A, Kaeser PS. Mechanisms of neuromodulatory volume transmission. Mol Psychiatry 2024:10.1038/s41380-024-02608-3. [PMID: 38789677 DOI: 10.1038/s41380-024-02608-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 05/07/2024] [Accepted: 05/10/2024] [Indexed: 05/26/2024]
Abstract
A wealth of neuromodulatory transmitters regulate synaptic circuits in the brain. Their mode of signaling, often called volume transmission, differs from classical synaptic transmission in important ways. In synaptic transmission, vesicles rapidly fuse in response to action potentials and release their transmitter content. The transmitters are then sensed by nearby receptors on select target cells with minimal delay. Signal transmission is restricted to synaptic contacts and typically occurs within ~1 ms. Volume transmission doesn't rely on synaptic contact sites and is the main mode of monoamines and neuropeptides, important neuromodulators in the brain. It is less precise than synaptic transmission, and the underlying molecular mechanisms and spatiotemporal scales are often not well understood. Here, we review literature on mechanisms of volume transmission and raise scientific questions that should be addressed in the years ahead. We define five domains by which volume transmission systems can differ from synaptic transmission and from one another. These domains are (1) innervation patterns and firing properties, (2) transmitter synthesis and loading into different types of vesicles, (3) architecture and distribution of release sites, (4) transmitter diffusion, degradation, and reuptake, and (5) receptor types and their positioning on target cells. We discuss these five domains for dopamine, a well-studied monoamine, and then compare the literature on dopamine with that on norepinephrine and serotonin. We include assessments of neuropeptide signaling and of central acetylcholine transmission. Through this review, we provide a molecular and cellular framework for volume transmission. This mechanistic knowledge is essential to define how neuromodulatory systems control behavior in health and disease and to understand how they are modulated by medical treatments and by drugs of abuse.
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Affiliation(s)
- Özge D Özçete
- Department of Neurobiology, Harvard Medical School, Boston, MA, 02115, USA
| | - Aditi Banerjee
- Department of Neurobiology, Harvard Medical School, Boston, MA, 02115, USA
| | - Pascal S Kaeser
- Department of Neurobiology, Harvard Medical School, Boston, MA, 02115, USA.
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10
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Piantadosi SC, Lee MK, Wu M, Huynh H, Avila R, Pizzano C, Zamorano CA, Wu Y, Xavier R, Stanslaski M, Kang J, Thai S, Kim Y, Zhang J, Huang Y, Kozorovitskiy Y, Good CH, Banks AR, Rogers JA, Bruchas MR. An integrated microfluidic and fluorescence platform for probing in vivo neuropharmacology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.14.594203. [PMID: 38798493 PMCID: PMC11118345 DOI: 10.1101/2024.05.14.594203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Neurotechnologies and genetic tools for dissecting neural circuit functions have advanced rapidly over the past decade, although the development of complementary pharmacological method-ologies has comparatively lagged. Understanding the precise pharmacological mechanisms of neuroactive compounds is critical for advancing basic neurobiology and neuropharmacology, as well as for developing more effective treatments for neurological and neuropsychiatric disorders. However, integrating modern tools for assessing neural activity in large-scale neural networks with spatially localized drug delivery remains a major challenge. Here, we present a dual microfluidic-photometry platform that enables simultaneous intracranial drug delivery with neural dynamics monitoring in the rodent brain. The integrated platform combines a wireless, battery-free, miniaturized fluidic microsystem with optical probes, allowing for spatially and temporally specific drug delivery while recording activity-dependent fluorescence using genetically encoded calcium indicators (GECIs), neurotransmitter sensors GRAB NE and GRAB DA , and neuropeptide sensors. We demonstrate the performance this platform for investigating neuropharmacological mechanisms in vivo and characterize its efficacy in probing precise mechanistic actions of neuroactive compounds across several rapidly evolving neuroscience domains.
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11
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Rupprecht P, Duss SN, Becker D, Lewis CM, Bohacek J, Helmchen F. Centripetal integration of past events in hippocampal astrocytes regulated by locus coeruleus. Nat Neurosci 2024; 27:927-939. [PMID: 38570661 PMCID: PMC11089000 DOI: 10.1038/s41593-024-01612-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 02/26/2024] [Indexed: 04/05/2024]
Abstract
An essential feature of neurons is their ability to centrally integrate information from their dendrites. The activity of astrocytes, in contrast, has been described as mostly uncoordinated across cellular compartments without clear central integration. Here we report conditional integration of calcium signals in astrocytic distal processes at their soma. In the hippocampus of adult mice of both sexes, we found that global astrocytic activity, as recorded with population calcium imaging, reflected past neuronal and behavioral events on a timescale of seconds. Salient past events, indicated by pupil dilations, facilitated the propagation of calcium signals from distal processes to the soma. Centripetal propagation to the soma was reproduced by optogenetic activation of the locus coeruleus, a key regulator of arousal, and reduced by pharmacological inhibition of α1-adrenergic receptors. Together, our results suggest that astrocytes are computational units of the brain that slowly and conditionally integrate calcium signals upon behaviorally relevant events.
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Affiliation(s)
- Peter Rupprecht
- Laboratory of Neural Circuit Dynamics, Brain Research Institute, University of Zurich, Zürich, Switzerland.
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zürich, Switzerland.
| | - Sian N Duss
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zürich, Switzerland
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zurich, Zürich, Switzerland
| | - Denise Becker
- Laboratory of Neural Circuit Dynamics, Brain Research Institute, University of Zurich, Zürich, Switzerland
| | - Christopher M Lewis
- Laboratory of Neural Circuit Dynamics, Brain Research Institute, University of Zurich, Zürich, Switzerland
| | - Johannes Bohacek
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zürich, Switzerland
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zurich, Zürich, Switzerland
| | - Fritjof Helmchen
- Laboratory of Neural Circuit Dynamics, Brain Research Institute, University of Zurich, Zürich, Switzerland.
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zürich, Switzerland.
- University Research Priority Program (URPP), Adaptive Brain Circuits in Development and Learning, University of Zurich, Zürich, Switzerland.
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12
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Glaeser-Khan S, Savalia NK, Cressy J, Feng J, Li Y, Kwan AC, Kaye AP. Spatiotemporal Organization of Prefrontal Norepinephrine Influences Neuronal Activity. eNeuro 2024; 11:ENEURO.0252-23.2024. [PMID: 38702188 PMCID: PMC11134306 DOI: 10.1523/eneuro.0252-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 01/08/2024] [Accepted: 01/19/2024] [Indexed: 05/06/2024] Open
Abstract
Norepinephrine (NE), a neuromodulator released by locus ceruleus (LC) neurons throughout the cortex, influences arousal and learning through extrasynaptic vesicle exocytosis. While NE within cortical regions has been viewed as a homogenous field, recent studies have demonstrated heterogeneous axonal dynamics and advances in GPCR-based fluorescent sensors permit direct observation of the local dynamics of NE at cellular scale. To investigate how the spatiotemporal dynamics of NE release in the prefrontal cortex (PFC) affect neuronal firing, we employed in vivo two-photon imaging of layer 2/3 of the PFC in order to observe fine-scale neuronal calcium and NE dynamics concurrently. In this proof of principle study, we found that local and global NE fields can decouple from one another, providing a substrate for local NE spatiotemporal activity patterns. Optic flow analysis revealed putative release and reuptake events which can occur at the same location, albeit at different times, indicating the potential to create a heterogeneous NE field. Utilizing generalized linear models, we demonstrated that cellular Ca2+ fluctuations are influenced by both the local and global NE field. However, during periods of local/global NE field decoupling, the local field drives cell firing dynamics rather than the global field. These findings underscore the significance of localized, phasic NE fluctuations for structuring cell firing, which may provide local neuromodulatory control of cortical activity.
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Affiliation(s)
| | - Neil K Savalia
- Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut 06510
- Medical Scientist Training Program, Yale University School of Medicine, New Haven, Connecticut 06511
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853
| | - Jianna Cressy
- Department of Psychiatry, Yale University, New Haven, Connecticut 06511
- Clinical Neuroscience Division, VA National Center for PTSD, West Haven, Connecticut 06515
| | - Jiesi Feng
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
| | - Yulong Li
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
- Chinese Institute for Brain Research, Beijing 102206, China
| | - Alex C Kwan
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853
| | - Alfred P Kaye
- Department of Psychiatry, Yale University, New Haven, Connecticut 06511
- Clinical Neuroscience Division, VA National Center for PTSD, West Haven, Connecticut 06515
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13
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Luu P, Fraser SE, Schneider F. More than double the fun with two-photon excitation microscopy. Commun Biol 2024; 7:364. [PMID: 38531976 DOI: 10.1038/s42003-024-06057-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 03/15/2024] [Indexed: 03/28/2024] Open
Abstract
For generations researchers have been observing the dynamic processes of life through the lens of a microscope. This has offered tremendous insights into biological phenomena that span multiple orders of time- and length-scales ranging from the pure magic of molecular reorganization at the membrane of immune cells, to cell migration and differentiation during development or wound healing. Standard fluorescence microscopy techniques offer glimpses at such processes in vitro, however, when applied in intact systems, they are challenged by reduced signal strengths and signal-to-noise ratios that result from deeper imaging. As a remedy, two-photon excitation (TPE) microscopy takes a special place, because it allows us to investigate processes in vivo, in their natural environment, even in a living animal. Here, we review the fundamental principles underlying TPE aimed at basic and advanced microscopy users interested in adopting TPE for intravital imaging. We focus on applications in neurobiology, present current trends towards faster, wider and deeper imaging, discuss the combination with photon counting technologies for metabolic imaging and spectroscopy, as well as highlight outstanding issues and drawbacks in development and application of these methodologies.
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Affiliation(s)
- Peter Luu
- Translational Imaging Center, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Biological Sciences, Division of Molecular and Computational Biology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Scott E Fraser
- Translational Imaging Center, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Biological Sciences, Division of Molecular and Computational Biology, University of Southern California, Los Angeles, CA, 90089, USA
- Alfred Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA
| | - Falk Schneider
- Translational Imaging Center, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA, 90089, USA.
- Dana and David Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, 90089, USA.
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14
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Privitera M, von Ziegler LM, Floriou-Servou A, Duss SN, Zhang R, Waag R, Leimbacher S, Sturman O, Roessler FK, Heylen A, Vermeiren Y, Van Dam D, De Deyn PP, Germain PL, Bohacek J. Noradrenaline release from the locus coeruleus shapes stress-induced hippocampal gene expression. eLife 2024; 12:RP88559. [PMID: 38477670 DOI: 10.7554/elife.88559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2024] Open
Abstract
Exposure to an acute stressor triggers a complex cascade of neurochemical events in the brain. However, deciphering their individual impact on stress-induced molecular changes remains a major challenge. Here, we combine RNA sequencing with selective pharmacological, chemogenetic, and optogenetic manipulations to isolate the contribution of the locus coeruleus-noradrenaline (LC-NA) system to the acute stress response in mice. We reveal that NA release during stress exposure regulates a large and reproducible set of genes in the dorsal and ventral hippocampus via β-adrenergic receptors. For a smaller subset of these genes, we show that NA release triggered by LC stimulation is sufficient to mimic the stress-induced transcriptional response. We observe these effects in both sexes, and independent of the pattern and frequency of LC activation. Using a retrograde optogenetic approach, we demonstrate that hippocampus-projecting LC neurons directly regulate hippocampal gene expression. Overall, a highly selective set of astrocyte-enriched genes emerges as key targets of LC-NA activation, most prominently several subunits of protein phosphatase 1 (Ppp1r3c, Ppp1r3d, Ppp1r3g) and type II iodothyronine deiodinase (Dio2). These results highlight the importance of astrocytic energy metabolism and thyroid hormone signaling in LC-mediated hippocampal function and offer new molecular targets for understanding how NA impacts brain function in health and disease.
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Affiliation(s)
- Mattia Privitera
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Switzerland, Zurich, Switzerland
| | - Lukas M von Ziegler
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Switzerland, Zurich, Switzerland
| | - Amalia Floriou-Servou
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Switzerland, Zurich, Switzerland
| | - Sian N Duss
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Switzerland, Zurich, Switzerland
| | - Runzhong Zhang
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Rebecca Waag
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Switzerland, Zurich, Switzerland
| | - Sebastian Leimbacher
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Oliver Sturman
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Switzerland, Zurich, Switzerland
| | - Fabienne K Roessler
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Annelies Heylen
- Laboratory of Neurochemistry and Behavior, Experimental Neurobiology Unit, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Yannick Vermeiren
- Laboratory of Neurochemistry and Behavior, Experimental Neurobiology Unit, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
- Division of Human Nutrition and Health, Chair Group of Nutritional Biology, Wageningen University & Research (WUR), Wageningen, Netherlands
| | - Debby Van Dam
- Laboratory of Neurochemistry and Behavior, Experimental Neurobiology Unit, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
- Department of Neurology and Alzheimer Center, University of Groningen and University Medical Center Groningen (UMCG), Groningen, Netherlands
| | - Peter P De Deyn
- Laboratory of Neurochemistry and Behavior, Experimental Neurobiology Unit, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
- Department of Neurology and Alzheimer Center, University of Groningen and University Medical Center Groningen (UMCG), Groningen, Netherlands
- Department of Neurology, Memory Clinic of Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
| | - Pierre-Luc Germain
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Switzerland, Zurich, Switzerland
- Computational Neurogenomics, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zürich, Zurich, Switzerland
- Laboratory of Statistical Bioinformatics, University of Zürich, Zürich, Switzerland
| | - Johannes Bohacek
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Switzerland, Zurich, Switzerland
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15
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Otanuly M, Kubitschke M, Masseck OA. A Bright Future? A Perspective on Class C GPCR Based Genetically Encoded Biosensors. ACS Chem Neurosci 2024; 15:889-897. [PMID: 38380648 PMCID: PMC10921406 DOI: 10.1021/acschemneuro.3c00854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 02/11/2024] [Accepted: 02/14/2024] [Indexed: 02/22/2024] Open
Abstract
One of the major challenges in molecular neuroscience today is to accurately monitor neurotransmitters, neuromodulators, peptides, and various other biomolecules in the brain with high temporal and spatial resolution. Only a comprehensive understanding of neuromodulator dynamics, their release probability, and spatial distribution will unravel their ultimate role in cognition and behavior. This Perspective offers an overview of potential design strategies for class C GPCR-based biosensors. It briefly highlights current applications of GPCR-based biosensors, with a primary focus on class C GPCRs and their unique structural characteristics compared with other GPCR subfamilies. The discussion offers insights into plausible future design approaches for biosensor development targeting members of this specific GPCR subfamily. It is important to note that, at this stage, we are contemplating possibilities rather than presenting a concrete guide, as the pipeline is still under development.
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Affiliation(s)
- Margulan Otanuly
- Synthetische Biologie, Universität Bremen, Bremen 28359, Germany
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16
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Simpson EH, Akam T, Patriarchi T, Blanco-Pozo M, Burgeno LM, Mohebi A, Cragg SJ, Walton ME. Lights, fiber, action! A primer on in vivo fiber photometry. Neuron 2024; 112:718-739. [PMID: 38103545 PMCID: PMC10939905 DOI: 10.1016/j.neuron.2023.11.016] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 10/16/2023] [Accepted: 11/15/2023] [Indexed: 12/19/2023]
Abstract
Fiber photometry is a key technique for characterizing brain-behavior relationships in vivo. Initially, it was primarily used to report calcium dynamics as a proxy for neural activity via genetically encoded indicators. This generated new insights into brain functions including movement, memory, and motivation at the level of defined circuits and cell types. Recently, the opportunity for discovery with fiber photometry has exploded with the development of an extensive range of fluorescent sensors for biomolecules including neuromodulators and peptides that were previously inaccessible in vivo. This critical advance, combined with the new availability of affordable "plug-and-play" recording systems, has made monitoring molecules with high spatiotemporal precision during behavior highly accessible. However, while opening exciting new avenues for research, the rapid expansion in fiber photometry applications has occurred without coordination or consensus on best practices. Here, we provide a comprehensive guide to help end-users execute, analyze, and suitably interpret fiber photometry studies.
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Affiliation(s)
- Eleanor H Simpson
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA.
| | - Thomas Akam
- Department of Experimental Psychology, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
| | - Tommaso Patriarchi
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland; Neuroscience Center Zürich, University and ETH Zürich, Zürich, Switzerland.
| | - Marta Blanco-Pozo
- Department of Experimental Psychology, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Lauren M Burgeno
- Department of Experimental Psychology, University of Oxford, Oxford, UK; Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Ali Mohebi
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Stephanie J Cragg
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Mark E Walton
- Department of Experimental Psychology, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
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17
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Rohner VL, Lamothe-Molina PJ, Patriarchi T. Engineering, applications, and future perspectives of GPCR-based genetically encoded fluorescent indicators for neuromodulators. J Neurochem 2024; 168:163-184. [PMID: 38288673 DOI: 10.1111/jnc.16045] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 12/20/2023] [Accepted: 12/22/2023] [Indexed: 02/23/2024]
Abstract
This review explores the evolving landscape of G-protein-coupled receptor (GPCR)-based genetically encoded fluorescent indicators (GEFIs), with a focus on their development, structural components, engineering strategies, and applications. We highlight the unique features of this indicator class, emphasizing the importance of both the sensing domain (GPCR structure and activation mechanism) and the reporting domain (circularly permuted fluorescent protein (cpFP) structure and fluorescence modulation). Further, we discuss indicator engineering approaches, including the selection of suitable cpFPs and expression systems. Additionally, we showcase the diversity and flexibility of their application by presenting a summary of studies where such indicators were used. Along with all the advantages, we also focus on the current limitations as well as common misconceptions that arise when using these indicators. Finally, we discuss future directions in indicator engineering, including strategies for screening with increased throughput, optimization of the ligand-binding properties, structural insights, and spectral diversity.
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Affiliation(s)
- Valentin Lu Rohner
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | | | - Tommaso Patriarchi
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
- Neuroscience Center Zurich, University and ETH Zurich, Zurich, Switzerland
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18
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Wang H, Ortega HK, Kelly EB, Indajang J, Feng J, Li Y, Kwan AC. Frontal noradrenergic and cholinergic transients exhibit distinct spatiotemporal dynamics during competitive decision-making. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.23.576893. [PMID: 38328186 PMCID: PMC10849696 DOI: 10.1101/2024.01.23.576893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Norepinephrine (NE) and acetylcholine (ACh) are neuromodulators that are crucial for learning and decision-making. In the cortex, NE and ACh are released at specific sites along neuromodulatory axons, which would constrain their spatiotemporal dynamics at the subcellular scale. However, how the fluctuating patterns of NE and ACh signaling may be linked to behavioral events is unknown. Here, leveraging genetically encoded NE and ACh indicators, we use two-photon microscopy to visualize neuromodulatory signals in the superficial layer of the mouse medial frontal cortex during decision-making. Head-fixed mice engage in a competitive game called matching pennies against a computer opponent. We show that both NE and ACh transients carry information about decision-related variables including choice, outcome, and reinforcer. However, the two neuromodulators differ in their spatiotemporal pattern of task-related activation. Spatially, NE signals are more segregated with choice and outcome encoded at distinct locations, whereas ACh signals can multiplex and reflect different behavioral correlates at the same site. Temporally, task-driven NE transients were more synchronized and peaked earlier than ACh transients. To test functional relevance, using optogenetics we found that evoked elevation of NE, but not ACh, in the medial frontal cortex increases the propensity of the animals to switch and explore alternate options. Taken together, the results reveal distinct spatiotemporal patterns of rapid ACh and NE transients at the subcellular scale during decision-making in mice, which may endow these neuromodulators with different ways to impact neural plasticity to mediate learning and adaptive behavior.
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Affiliation(s)
- Hongli Wang
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, Connecticut, 06511, USA
| | - Heather K. Ortega
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, Connecticut, 06511, USA
| | - Emma B. Kelly
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, 06511, USA
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, 14853, USA
| | - Jonathan Indajang
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, 14853, USA
| | - Jiesi Feng
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing, China
| | - Yulong Li
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing, China
- PKU-IDG/McGovern Institute for Brain Research, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
| | - Alex C. Kwan
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, 06511, USA
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, 14853, USA
- Department of Psychiatry, Weill Cornell Medicine, New York, New York, 10065, USA
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19
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Tanguay E, Bouchard SJ, Lévesque M, De Koninck P, Breton-Provencher V. Shining light on the noradrenergic system. NEUROPHOTONICS 2023; 10:044406. [PMID: 37766924 PMCID: PMC10519836 DOI: 10.1117/1.nph.10.4.044406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 08/08/2023] [Accepted: 08/30/2023] [Indexed: 09/29/2023]
Abstract
Despite decades of research on the noradrenergic system, our understanding of its impact on brain function and behavior remains incomplete. Traditional recording techniques are challenging to implement for investigating in vivo noradrenergic activity, due to the relatively small size and the position in the brain of the locus coeruleus (LC), the primary location for noradrenergic neurons. However, recent advances in optical and fluorescent methods have enabled researchers to study the LC more effectively. Use of genetically encoded calcium indicators to image the activity of noradrenergic neurons and biosensors that monitor noradrenaline release with fluorescence can be an indispensable tool for studying noradrenergic activity. In this review, we examine how these methods are being applied to record the noradrenergic system in the rodent brain during behavior.
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Affiliation(s)
| | | | - Martin Lévesque
- CERVO Brain Research Centre, Quebec, Quebec, Canada
- Université Laval, Department of Psychiatry and Neuroscience, Faculty of Medicine, Quebec, Quebec, Canada
| | - Paul De Koninck
- CERVO Brain Research Centre, Quebec, Quebec, Canada
- Université Laval, Department of Biochemistry, Microbiology, and Bioinformatics, Faculty of Science and Engineering, Quebec, Quebec, Canada
| | - Vincent Breton-Provencher
- CERVO Brain Research Centre, Quebec, Quebec, Canada
- Université Laval, Department of Psychiatry and Neuroscience, Faculty of Medicine, Quebec, Quebec, Canada
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