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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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52
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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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53
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Chow JJ, Pitts KM, Schoenbaum A, Costa KM, Schoenbaum G, Shaham Y. Different Effects of Peer Sex on Operant Responding for Social Interaction and Striatal Dopamine Activity. J Neurosci 2024; 44:e1887232024. [PMID: 38346894 PMCID: PMC10919252 DOI: 10.1523/jneurosci.1887-23.2024] [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: 10/05/2023] [Revised: 01/05/2024] [Accepted: 01/08/2024] [Indexed: 03/08/2024] Open
Abstract
When rats are given discrete choices between social interactions with a peer and opioid or psychostimulant drugs, they choose social interaction, even after extensive drug self-administration experience. Studies show that like drug and nondrug food reinforcers, social interaction is an operant reinforcer and induces dopamine release. However, these studies were conducted with same-sex peers. We examined if peer sex influences operant social interaction and the role of estrous cycle and striatal dopamine in same- versus opposite-sex social interaction. We trained male and female rats (n = 13 responders/12 peers) to lever-press (fixed-ratio 1 [FR1] schedule) for 15 s access to a same- or opposite-sex peer for 16 d (8 d/sex) while tracking females' estrous cycle. Next, we transfected GRAB-DA2m and implanted optic fibers into nucleus accumbens (NAc) core and dorsomedial striatum (DMS). We then retrained the rats for 15 s social interaction (FR1 schedule) for 16 d (8 d/sex) and recorded striatal dopamine during operant responding for a peer for 8 d (4 d/sex). Finally, we assessed economic demand by manipulating FR requirements for a peer (10 d/sex). In male, but not female rats, operant responding was higher for the opposite-sex peer. Female's estrous cycle fluctuations had no effect on operant social interaction. Striatal dopamine signals for operant social interaction were dependent on the peer's sex and striatal region (NAc core vs DMS). Results indicate that estrous cycle fluctuations did not influence operant social interaction and that NAc core and DMS dopamine activity reflect sex-dependent features of volitional social interaction.
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Affiliation(s)
- Jonathan J Chow
- Intramural Research Program, NIDA, NIH, Baltimore, Maryland 21230
| | - Kayla M Pitts
- Intramural Research Program, NIDA, NIH, Baltimore, Maryland 21230
| | - Ansel Schoenbaum
- Intramural Research Program, NIDA, NIH, Baltimore, Maryland 21230
| | - Kauê M Costa
- Intramural Research Program, NIDA, NIH, Baltimore, Maryland 21230
| | | | - Yavin Shaham
- Intramural Research Program, NIDA, NIH, Baltimore, Maryland 21230
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54
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Liu M, Wang H, Fu Y, Li X, Wu P, Liu G, Wang R, Zhang Y, Chen H, Hou H, Hu Q. The Role of Nicotine Metabolic Rate on Nicotine Dependence and Rewarding: Nicotine Metabolism in Chinese Male Smokers and Male Mice. Mol Neurobiol 2024:10.1007/s12035-024-04040-8. [PMID: 38427211 DOI: 10.1007/s12035-024-04040-8] [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] [Received: 04/12/2023] [Accepted: 02/07/2024] [Indexed: 03/02/2024]
Abstract
The exact relationship between nicotine metabolism and dependence is not fully understood but is known to be influenced at a molecular level by genetic factors. A sample comprising 274 Chinese adult male smokers was categorized into groups based on their metabolic rates, namely fast, intermediate, and slow metabolizers. We then measured their smoking topography, evaluated their nicotine dependence, and assessed the rewarding effects. Based on these findings, we proposed the hypothesis that the rate of nicotine metabolism could influence the level of dopamine release which in turn had repercussions on the pleasurable and rewarding effects. To test this hypothesis, male mice were selected with different nicotine metabolic rates that closely resembled in the smoker group. We evaluated their nicotine dependence and rewarding effects through conditioned place preference and withdrawal symptom tests, supplemented with dopamine release measurements. In both animal and human, the slow metabolism group (SMG) required less nicotine to maintain a comparable level of dependence than the fast metabolism group (FMG). The SMG could achieve similar rewarding effects to FMG despite consuming less nicotine. Comparable dopamine levels released were therefore critical in setting the nicotine acquisition behavior in this animal model and also for the smokers tested. Our findings suggested that even within the same ethnicity of established smokers (Chinese Han), differences in nicotine metabolism were an important parameter to modulate the degree of nicotine dependence.
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Affiliation(s)
- Mingda Liu
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450000, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450000, China
- Beijing Life Science Academy, Beijing, 100000, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 100000, China
| | - Hongjuan Wang
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450000, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450000, China
- Beijing Life Science Academy, Beijing, 100000, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 100000, China
| | - Yaning Fu
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450000, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450000, China
- Beijing Life Science Academy, Beijing, 100000, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 100000, China
| | - Xiangyu Li
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450000, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450000, China
- Beijing Life Science Academy, Beijing, 100000, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 100000, China
| | - Ping Wu
- National Institute On Drug Dependence and Beijing Key Laboratory of Drug Dependence, Beijing, China
| | - Guanglin Liu
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450000, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450000, China
- Beijing Life Science Academy, Beijing, 100000, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 100000, China
| | - Ruiyan Wang
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450000, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450000, China
- Beijing Life Science Academy, Beijing, 100000, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 100000, China
| | - Yuan Zhang
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450000, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450000, China
- Beijing Life Science Academy, Beijing, 100000, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 100000, China
| | - Huan Chen
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450000, China.
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450000, China.
- Beijing Life Science Academy, Beijing, 100000, China.
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 100000, China.
| | - Hongwei Hou
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450000, China.
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450000, China.
- Beijing Life Science Academy, Beijing, 100000, China.
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 100000, China.
| | - Qingyuan Hu
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450000, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450000, China
- Beijing Life Science Academy, Beijing, 100000, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 100000, China
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55
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Wait SJ, Expòsit M, Lin S, Rappleye M, Lee JD, Colby SA, Torp L, Asencio A, Smith A, Regnier M, Moussavi-Harami F, Baker D, Kim CK, Berndt A. Machine learning-guided engineering of genetically encoded fluorescent calcium indicators. NATURE COMPUTATIONAL SCIENCE 2024; 4:224-236. [PMID: 38532137 DOI: 10.1038/s43588-024-00611-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 02/15/2024] [Indexed: 03/28/2024]
Abstract
Here we used machine learning to engineer genetically encoded fluorescent indicators, protein-based sensors critical for real-time monitoring of biological activity. We used machine learning to predict the outcomes of sensor mutagenesis by analyzing established libraries that link sensor sequences to functions. Using the GCaMP calcium indicator as a scaffold, we developed an ensemble of three regression models trained on experimentally derived GCaMP mutation libraries. The trained ensemble performed an in silico functional screen on 1,423 novel, uncharacterized GCaMP variants. As a result, we identified the ensemble-derived GCaMP (eGCaMP) variants, eGCaMP and eGCaMP+, which achieve both faster kinetics and larger ∆F/F0 responses upon stimulation than previously published fast variants. Furthermore, we identified a combinatorial mutation with extraordinary dynamic range, eGCaMP2+, which outperforms the tested sixth-, seventh- and eighth-generation GCaMPs. These findings demonstrate the value of machine learning as a tool to facilitate the efficient engineering of proteins for desired biophysical characteristics.
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Affiliation(s)
- Sarah J Wait
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA, USA
- Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
| | - Marc Expòsit
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA, USA
- Institute for Protein Design, University of Washington, Seattle, WA, USA
| | - Sophia Lin
- Center for Neuroscience, University of California, Davis, Davis, CA, USA
- Department of Neurology, University of California, Davis, Davis, CA, USA
| | - Michael Rappleye
- Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
- Institute of Pharmacology and Toxicology, University of Zürich, Zurich, Switzerland
| | - Justin Daho Lee
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA, USA
- Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
| | - Samuel A Colby
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA, USA
| | - Lily Torp
- Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Anthony Asencio
- Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Annette Smith
- Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
| | - Michael Regnier
- Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Farid Moussavi-Harami
- Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
- Division of Cardiology, University of Washington, Seattle, WA, USA
| | - David Baker
- Institute for Protein Design, University of Washington, Seattle, WA, USA
- Department of Biochemistry, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Christina K Kim
- Center for Neuroscience, University of California, Davis, Davis, CA, USA
- Department of Neurology, University of California, Davis, Davis, CA, USA
| | - Andre Berndt
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA, USA.
- Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA.
- Department of Bioengineering, University of Washington, Seattle, WA, USA.
- Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA, USA.
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56
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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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57
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Ma P, Chen P, Tilden EI, Aggarwal S, Oldenborg A, Chen Y. Fast and slow: Recording neuromodulator dynamics across both transient and chronic time scales. SCIENCE ADVANCES 2024; 10:eadi0643. [PMID: 38381826 PMCID: PMC10881037 DOI: 10.1126/sciadv.adi0643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 01/17/2024] [Indexed: 02/23/2024]
Abstract
Neuromodulators transform animal behaviors. Recent research has demonstrated the importance of both sustained and transient change in neuromodulators, likely due to tonic and phasic neuromodulator release. However, no method could simultaneously record both types of dynamics. Fluorescence lifetime of optical reporters could offer a solution because it allows high temporal resolution and is impervious to sensor expression differences across chronic periods. Nevertheless, no fluorescence lifetime change across the entire classes of neuromodulator sensors was previously known. Unexpectedly, we find that several intensity-based neuromodulator sensors also exhibit fluorescence lifetime responses. Furthermore, we show that lifetime measures in vivo neuromodulator dynamics both with high temporal resolution and with consistency across animals and time. Thus, we report a method that can simultaneously measure neuromodulator change over transient and chronic time scales, promising to reveal the roles of multi-time scale neuromodulator dynamics in diseases, in response to therapies, and across development and aging.
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Affiliation(s)
- Pingchuan Ma
- Department of Neuroscience, Washington University, St. Louis, MO 63110, USA
- Ph.D. Program in Neuroscience, Washington University, St. Louis, MO 63110, USA
| | - Peter Chen
- Department of Neuroscience, Washington University, St. Louis, MO 63110, USA
- Master’s Program in Biomedical Engineering, Washington University, St. Louis, MO 63110, USA
| | - Elizabeth I. Tilden
- Department of Neuroscience, Washington University, St. Louis, MO 63110, USA
- Ph.D. Program in Neuroscience, Washington University, St. Louis, MO 63110, USA
| | - Samarth Aggarwal
- Department of Neuroscience, Washington University, St. Louis, MO 63110, USA
| | - Anna Oldenborg
- Department of Neuroscience, Washington University, St. Louis, MO 63110, USA
| | - Yao Chen
- Department of Neuroscience, Washington University, St. Louis, MO 63110, USA
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58
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Eshel N, Touponse GC, Wang AR, Osterman AK, Shank AN, Groome AM, Taniguchi L, Cardozo Pinto DF, Tucciarone J, Bentzley BS, Malenka RC. Striatal dopamine integrates cost, benefit, and motivation. Neuron 2024; 112:500-514.e5. [PMID: 38016471 PMCID: PMC10922131 DOI: 10.1016/j.neuron.2023.10.038] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 07/06/2023] [Accepted: 10/26/2023] [Indexed: 11/30/2023]
Abstract
Striatal dopamine (DA) release has long been linked to reward processing, but it remains controversial whether DA release reflects costs or benefits and how these signals vary with motivation. Here, we measure DA release in the nucleus accumbens (NAc) and dorsolateral striatum (DLS) while independently varying costs and benefits and apply behavioral economic principles to determine a mouse's level of motivation. We reveal that DA release in both structures incorporates both reward magnitude and sunk cost. Surprisingly, motivation was inversely correlated with reward-evoked DA release. Furthermore, optogenetically evoked DA release was also heavily dependent on sunk cost. Our results reconcile previous disparate findings by demonstrating that striatal DA release simultaneously encodes cost, benefit, and motivation but in distinct manners over different timescales. Future work will be necessary to determine whether the reduction in phasic DA release in highly motivated animals is due to changes in tonic DA levels.
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Affiliation(s)
- Neir Eshel
- Nancy Pritzker Laboratory, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
| | - Gavin C Touponse
- Nancy Pritzker Laboratory, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Allan R Wang
- Nancy Pritzker Laboratory, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Amber K Osterman
- Nancy Pritzker Laboratory, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Amei N Shank
- Nancy Pritzker Laboratory, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Alexandra M Groome
- Nancy Pritzker Laboratory, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Lara Taniguchi
- Nancy Pritzker Laboratory, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Daniel F Cardozo Pinto
- Nancy Pritzker Laboratory, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Jason Tucciarone
- Nancy Pritzker Laboratory, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Brandon S Bentzley
- Nancy Pritzker Laboratory, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Robert C Malenka
- Nancy Pritzker Laboratory, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
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59
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Pierce AF, Protter DSW, Watanabe YL, Chapel GD, Cameron RT, Donaldson ZR. Nucleus accumbens dopamine release reflects the selective nature of pair bonds. Curr Biol 2024; 34:519-530.e5. [PMID: 38218185 PMCID: PMC10978070 DOI: 10.1016/j.cub.2023.12.041] [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: 05/12/2023] [Revised: 10/06/2023] [Accepted: 12/13/2023] [Indexed: 01/15/2024]
Abstract
In monogamous species, prosocial behaviors directed toward partners are dramatically different from those directed toward unknown individuals and potential threats. Dopamine release in the nucleus accumbens has a well-established role in social reward and motivation, but how this mechanism may be engaged to drive the highly divergent social behaviors directed at a partner or unfamiliar conspecific remains unknown. Using monogamous prairie voles, we first employed receptor pharmacology in partner preference and social operant tasks to show that dopamine is critical for the appetitive drive for social interaction but not for low-effort, unconditioned consummatory behaviors. We then leveraged the subsecond temporal resolution of the fluorescent biosensor, GRABDA, to ask whether differential dopamine release might distinguish between partner and novel social access and interaction. We found that partner seeking, anticipation, and interaction resulted in more accumbal dopamine release than the same events directed toward a novel vole. Further, partner-associated dopamine release decreased after prolonged partner separation. Our results are consistent with a model in which dopamine signaling plays a prominent role in the appetitive aspects of social interactions. Within this framework, differences in partner- and novel-associated dopamine release reflect the selective nature of pair bonds and may drive the partner- and novel-directed social behaviors that reinforce and cement bonds over time. This provides a potential mechanism by which highly conserved reward systems can enable selective, species-appropriate social behaviors.
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Affiliation(s)
- Anne F Pierce
- Department of Psychology & Neuroscience, University of Colorado Boulder, 1945 Colorado Ave, Boulder, CO 80309, USA.
| | - David S W Protter
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, 1945 Colorado Ave, Boulder, CO 80309, USA
| | - Yurika L Watanabe
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, 1945 Colorado Ave, Boulder, CO 80309, USA
| | - Gabriel D Chapel
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, 1945 Colorado Ave, Boulder, CO 80309, USA
| | - Ryan T Cameron
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, 1945 Colorado Ave, Boulder, CO 80309, USA
| | - Zoe R Donaldson
- Department of Psychology & Neuroscience, University of Colorado Boulder, 1945 Colorado Ave, Boulder, CO 80309, USA; Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, 1945 Colorado Ave, Boulder, CO 80309, USA.
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60
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Fordyce BA, Roth BL. Making Sense of Psychedelics in the CNS. Int J Neuropsychopharmacol 2024; 27:pyae007. [PMID: 38289825 PMCID: PMC10888522 DOI: 10.1093/ijnp/pyae007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 01/29/2024] [Indexed: 02/01/2024] Open
Abstract
For centuries, ancient lineages have consumed psychedelic compounds from natural sources. In the modern era, scientists have since harnessed the power of computational tools, cellular assays, and behavioral metrics to study how these compounds instigate changes on molecular, cellular, circuit-wide, and system levels. Here, we provide a brief history of psychedelics and their use in science, medicine, and culture. We then outline current techniques for studying psychedelics from a pharmacological perspective. Finally, we address known gaps in the field and potential avenues of further research to broaden our collective understanding of physiological changes induced by psychedelics, the limits of their therapeutic capabilities, and how researchers can improve and inform treatments that are rapidly becoming accessible worldwide.
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Affiliation(s)
- Blake A Fordyce
- Department of Neuroscience, UNC Chapel Hill Medical School Chapel Hill, North Carolina, USA
| | - Bryan L Roth
- Department of Pharmacology, UNC Chapel Hill Medical School Chapel Hill, North Carolina, USA
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61
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Tang JCY, Paixao V, Carvalho F, Silva A, Klaus A, da Silva JA, Costa RM. Dynamic behaviour restructuring mediates dopamine-dependent credit assignment. Nature 2024; 626:583-592. [PMID: 38092040 PMCID: PMC10866702 DOI: 10.1038/s41586-023-06941-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 12/06/2023] [Indexed: 02/02/2024]
Abstract
Animals exhibit a diverse behavioural repertoire when exploring new environments and can learn which actions or action sequences produce positive outcomes. Dopamine release after encountering a reward is critical for reinforcing reward-producing actions1-3. However, it has been challenging to understand how credit is assigned to the exact action that produced the dopamine release during continuous behaviour. Here we investigated this problem in mice using a self-stimulation paradigm in which specific spontaneous movements triggered optogenetic stimulation of dopaminergic neurons. Dopamine self-stimulation rapidly and dynamically changes the structure of the entire behavioural repertoire. Initial stimulations reinforced not only the stimulation-producing target action, but also actions similar to the target action and actions that occurred a few seconds before stimulation. Repeated pairings led to a gradual refinement of the behavioural repertoire to home in on the target action. Reinforcement of action sequences revealed further temporal dependencies of refinement. Action pairs spontaneously separated by long time intervals promoted a stepwise credit assignment, with early refinement of actions most proximal to stimulation and subsequent refinement of more distal actions. Thus, a retrospective reinforcement mechanism promotes not only reinforcement, but also gradual refinement of the entire behavioural repertoire to assign credit to specific actions and action sequences that lead to dopamine release.
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Affiliation(s)
- Jonathan C Y Tang
- Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
- Seattle Children's Research Institute, Center for Integrative Brain Research, Seattle, WA, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Vitor Paixao
- Champalimaud Neuroscience Programme, Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal
- Kinetikos, Coimbra, Portugal
| | - Filipe Carvalho
- Champalimaud Neuroscience Programme, Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal
- Open Ephys Production Site, Lisbon, Portugal
| | - Artur Silva
- Champalimaud Neuroscience Programme, Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal
| | - Andreas Klaus
- Champalimaud Neuroscience Programme, Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal
| | - Joaquim Alves da Silva
- Champalimaud Neuroscience Programme, Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal
- Champalimaud Experimental Clinical Research Programme, Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal
- NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - Rui M Costa
- Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
- Aligning Science Across Parkinson's Collaborative Research Network, Chevy Chase, MD, USA.
- Allen Institute, Seattle, WA, USA.
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Kubitschke M, Masseck OA. Illuminating the brain-genetically encoded single wavelength fluorescent biosensors to unravel neurotransmitter dynamics. Biol Chem 2024; 405:55-65. [PMID: 37246368 DOI: 10.1515/hsz-2023-0175] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/15/2023] [Indexed: 05/30/2023]
Abstract
Understanding how neuronal networks generate complex behavior is one of the major goals of Neuroscience. Neurotransmitter and Neuromodulators are crucial for information flow between neurons and understanding their dynamics is the key to unravel their role in behavior. To understand how the brain transmits information and how brain states arise, it is essential to visualize the dynamics of neurotransmitters, neuromodulators and neurochemicals. In the last five years, an increasing number of single-wavelength biosensors either based on periplasmic binding proteins (PBPs) or on G-protein-coupled receptors (GPCR) have been published that are able to detect neurotransmitter release in vitro and in vivo with high spatial and temporal resolution. Here we review and discuss recent progress in the development of these sensors, their limitations and future directions.
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Park J, Kang S, Lee Y, Choi JW, Oh YS. Continuous long-range measurement of tonic dopamine with advanced FSCV for pharmacodynamic analysis of levodopa-induced dyskinesia in Parkinson's disease. Front Bioeng Biotechnol 2024; 12:1335474. [PMID: 38328444 PMCID: PMC10847580 DOI: 10.3389/fbioe.2024.1335474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 01/12/2024] [Indexed: 02/09/2024] Open
Abstract
Levodopa, a dopamine prodrug, alleviates the motor symptoms of Parkinson's disease (PD), but its chronic use gives rise to levodopa-induced dyskinesia (LID). However, it remains unclear whether levodopa pharmacodynamics is altered during the progressive onset of LID. Using in vivo fast-scan cyclic voltammetry and second-derivative-based background drift removal, we continuously measured tonic dopamine levels using high temporal resolution recording over 1-h. Increases to tonic dopamine levels following acute levodopa administration were slow and marginal within the naïve PD model. However, these levels increased faster and higher in the LID model. Furthermore, we identified a strong positive correlation of dyskinetic behavior with the rate of dopamine increase, but much less with its cumulative level, at each time point. Here, we identified the altered signature of striatal DA dynamics underlying LID in PD using an advanced FSCV technique that demonstrates the long-range dynamics of tonic dopamine following drug administration.
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Affiliation(s)
- Jeongrak Park
- Department of Brain Science, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea
| | - Seongtak Kang
- Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea
| | - Yaebin Lee
- Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea
| | - Ji-Woong Choi
- Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea
| | - Yong-Seok Oh
- Department of Brain Science, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea
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Xu X, Zheng S, Ren J, Li Z, Li J, Xu Z, Yuan F, Yang Q, Margetts AV, Pollock TA, Vilca SJ, Yang C, Chen G, Shen P, Li S, Xia J, Chen C, Zhou T, Zhu Y, Tuesta LM, Wang L, Kenny PJ, Liu XA, Chen Z. Hypothalamic CRF neurons facilitate brain reward function. Curr Biol 2024; 34:389-402.e5. [PMID: 38215742 PMCID: PMC10842365 DOI: 10.1016/j.cub.2023.12.046] [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: 04/16/2023] [Revised: 11/14/2023] [Accepted: 12/13/2023] [Indexed: 01/14/2024]
Abstract
Aversive stimuli activate corticotropin-releasing factor (CRF)-expressing neurons in the paraventricular nucleus of hypothalamus (PVNCRF neurons) and other brain stress systems to facilitate avoidance behaviors. Appetitive stimuli also engage the brain stress systems, but their contributions to reward-related behaviors are less well understood. Here, we show that mice work vigorously to optically activate PVNCRF neurons in an operant chamber, indicating a reinforcing nature of these neurons. The reinforcing property of these neurons is not mediated by activation of the hypothalamic-pituitary-adrenal (HPA) axis. We found that PVNCRF neurons send direct projections to the ventral tegmental area (VTA), and selective activation of these projections induced robust self-stimulation behaviors, without activation of the HPA axis. Similar to the PVNCRF cell bodies, self-stimulation of PVNCRF-VTA projection was dramatically attenuated by systemic pretreatment of CRF receptor 1 or dopamine D1 receptor (D1R) antagonist and augmented by corticosterone synthesis inhibitor metyrapone, but not altered by dopamine D2 receptor (D2R) antagonist. Furthermore, we found that activation of PVNCRF-VTA projections increased c-Fos expression in the VTA dopamine neurons and rapidly triggered dopamine release in the nucleus accumbens (NAc), and microinfusion of D1R or D2R antagonist into the NAc decreased the self-stimulation of these projections. Together, our findings reveal an unappreciated role of PVNCRF neurons and their VTA projections in driving reward-related behaviors, independent of their core neuroendocrine functions. As activation of PVNCRF neurons is the final common path for many stress systems, our study suggests a novel mechanism underlying the positive reinforcing effect of stressful stimuli.
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Affiliation(s)
- Xinli Xu
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Shuidiao Zheng
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China; The Affiliated Traditional Chinese Medicine Hospital of Guangzhou Medical University, Guangzhou 510130, Guangdong, China
| | - Jiayan Ren
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Zixuan Li
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinyan Li
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Zhibin Xu
- Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Feng Yuan
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Qixing Yang
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Alexander V Margetts
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Tate A Pollock
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Samara J Vilca
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Canyu Yang
- State Key Laboratory of Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
| | - Gaowei Chen
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Peilei Shen
- Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Shupeng Li
- State Key Laboratory of Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
| | - Jianxun Xia
- Yunkang School of Medicine and Health, Nanfang College, Guangzhou 510970, Guangdong, China
| | - Chuyun Chen
- The Affiliated Traditional Chinese Medicine Hospital of Guangzhou Medical University, Guangzhou 510130, Guangdong, China
| | - Tao Zhou
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yingjie Zhu
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Luis M Tuesta
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Liping Wang
- Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Paul J Kenny
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Xin-An Liu
- Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Zuxin Chen
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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Zhao H, Xie J, Wu S, Zhao X, Sánchez OF, Min S, Rochet JC, Freeman JL, Yuan C. Elevated parkinsonism pathological markers in dopaminergic neurons with developmental exposure to atrazine. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168307. [PMID: 37949145 PMCID: PMC10843769 DOI: 10.1016/j.scitotenv.2023.168307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/12/2023]
Abstract
Atrazine (ATZ) is one of the most used herbicides in the US and a known endocrine disruptor. ATZ is frequently detected in drinking water, especially in Midwestern regions of the United States, exceeding the EPA regulation of maximum contamination level (MCL) of 3 ppb. Epidemiology studies have suggested an association between ATZ exposure and neurodegeneration. Less, however, is known about the neurotoxic mechanism of ATZ, particularly for exposures at a developmental stage. Here, we exposed floor plate progenitors (FPPs) derived from human induced pluripotent stem cells (hiPSCs) to low concentrations of ATZ at 0.3 and 3 ppb for two days followed by differentiation into dopaminergic (DA) neurons in ATZ-free medium. We then examined the morphology, activity, pathological protein aggregation, and transcriptomic changes of differentiated DA neurons. We observed significant decrease in the complexity of neurite network, increase of neuronal activity, and elevated tau- and α-synuclein (aSyn) pathologies after ATZ exposure. The ATZ-induced neuronal changes observed here align with pathological characteristics in Parkinson's disease (PD). Transcriptomic analysis further corroborates our findings; and collectively provides a strong evidence base that low-concentration ATZ exposure during development can elicit increased risk of neurodegeneration.
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Affiliation(s)
- Han Zhao
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States of America
| | - Junkai Xie
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States of America
| | - Shichen Wu
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States of America
| | - Xihui Zhao
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, United States of America
| | - Oscar F Sánchez
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States of America
| | - Sehong Min
- Department of Medicinal Chemistry and Molecular Pharmacy, Purdue University, West Lafayette, IN 47907, United States of America
| | - Jean-Christophe Rochet
- Department of Medicinal Chemistry and Molecular Pharmacy, Purdue University, West Lafayette, IN 47907, United States of America; Purdue Institute of Integrated Neuroscience, Purdue University, West Lafayette, IN 47907, United States of America
| | - Jennifer L Freeman
- School of Health Sciences, Purdue University, West Lafayette, IN 47907, United States of America; Purdue Institute of Integrated Neuroscience, Purdue University, West Lafayette, IN 47907, United States of America
| | - Chongli Yuan
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States of America; Purdue Institute of Integrated Neuroscience, Purdue University, West Lafayette, IN 47907, United States of America; Purdue Center of Cancer Research, West Lafayette, IN 47907, United States of America.
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66
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Ihara K, Shikano Y, Kato S, Yagishita S, Tanaka KF, Takata N. A reinforcement learning model with choice traces for a progressive ratio schedule. Front Behav Neurosci 2024; 17:1302842. [PMID: 38268795 PMCID: PMC10806202 DOI: 10.3389/fnbeh.2023.1302842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 12/13/2023] [Indexed: 01/26/2024] Open
Abstract
The progressive ratio (PR) lever-press task serves as a benchmark for assessing goal-oriented motivation. However, a well-recognized limitation of the PR task is that only a single data point, known as the breakpoint, is obtained from an entire session as a barometer of motivation. Because the breakpoint is defined as the final ratio of responses achieved in a PR session, variations in choice behavior during the PR task cannot be captured. We addressed this limitation by constructing four reinforcement learning models: a simple Q-learning model, an asymmetric model with two learning rates, a perseverance model with choice traces, and a perseverance model without learning. These models incorporated three behavioral choices: reinforced and non-reinforced lever presses and void magazine nosepokes, because we noticed that male mice performed frequent magazine nosepokes during PR tasks. The best model was the perseverance model, which predicted a gradual reduction in amplitudes of reward prediction errors (RPEs) upon void magazine nosepokes. We confirmed the prediction experimentally with fiber photometry of extracellular dopamine (DA) dynamics in the ventral striatum of male mice using a fluorescent protein (genetically encoded GPCR activation-based DA sensor: GRABDA2m). We verified application of the model by acute intraperitoneal injection of low-dose methamphetamine (METH) before a PR task, which increased the frequency of magazine nosepokes during the PR session without changing the breakpoint. The perseverance model captured behavioral modulation as a result of increased initial action values, which are customarily set to zero and disregarded in reinforcement learning analysis. Our findings suggest that the perseverance model reveals the effects of psychoactive drugs on choice behaviors during PR tasks.
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Affiliation(s)
- Keiko Ihara
- Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan
| | - Yu Shikano
- Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan
- Department of Biology, Stanford University, Stanford, CA, United States
| | - Sae Kato
- Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan
| | - Sho Yagishita
- Center for Disease Biology and Integrative Medicine, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kenji F. Tanaka
- Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan
| | - Norio Takata
- Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan
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McMillen A, Chew Y. Neural mechanisms of dopamine function in learning and memory in Caenorhabditis elegans. Neuronal Signal 2024; 8:NS20230057. [PMID: 38572143 PMCID: PMC10987485 DOI: 10.1042/ns20230057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 12/03/2023] [Accepted: 12/11/2023] [Indexed: 04/05/2024] Open
Abstract
Research into learning and memory over the past decades has revealed key neurotransmitters that regulate these processes, many of which are evolutionarily conserved across diverse species. The monoamine neurotransmitter dopamine is one example of this, with countless studies demonstrating its importance in regulating behavioural plasticity. However, dopaminergic neural networks in the mammalian brain consist of hundreds or thousands of neurons, and thus cannot be studied at the level of single neurons acting within defined neural circuits. The nematode Caenorhabditis elegans (C. elegans) has an experimentally tractable nervous system with a completely characterized synaptic connectome. This makes it an advantageous system to undertake mechanistic studies into how dopamine encodes lasting yet flexible behavioural plasticity in the nervous system. In this review, we synthesize the research to date exploring the importance of dopaminergic signalling in learning, memory formation, and forgetting, focusing on research in C. elegans. We also explore the potential for dopamine-specific fluorescent biosensors in C. elegans to visualize dopaminergic neural circuits during learning and memory formation in real-time. We propose that the use of these sensors in C. elegans, in combination with optogenetic and other light-based approaches, will further illuminate the detailed spatiotemporal requirements for encoding behavioural plasticity in an accessible experimental system. Understanding the key molecules and circuit mechanisms that regulate learning and forgetting in more compact invertebrate nervous systems may reveal new druggable targets for enhancing memory storage and delaying memory loss in bigger brains.
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Affiliation(s)
- Anna McMillen
- College of Medicine and Public Health and Flinders Health and Medical Research Institute, Flinders University, Bedford Park, 5042, South Australia, Australia
| | - Yee Lian Chew
- College of Medicine and Public Health and Flinders Health and Medical Research Institute, Flinders University, Bedford Park, 5042, South Australia, Australia
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Wilson LR, Plummer NW, Evsyukova IY, Patino D, Stewart CL, Smith KG, Konrad KS, Fry SA, Deal AL, Kilonzo VW, Panda S, Sciolino NR, Cushman JD, Jensen P. Partial or Complete Loss of Norepinephrine Differentially Alters Contextual Fear and Catecholamine Release Dynamics in Hippocampal CA1. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:51-60. [PMID: 38058990 PMCID: PMC10695841 DOI: 10.1016/j.bpsgos.2023.10.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 09/28/2023] [Accepted: 10/05/2023] [Indexed: 12/08/2023] Open
Abstract
Background Contextual fear learning is heavily dependent on the hippocampus. Despite evidence that catecholamines contribute to contextual encoding and memory retrieval, the precise temporal dynamics of their release in the hippocampus during behavior is unknown. In addition, new animal models are required to probe the effects of altered catecholamine synthesis on release dynamics and contextual learning. Methods We generated 2 new mouse models of altered locus coeruleus-norepinephrine (NE) synthesis and utilized them together with GRABNE and GRABDA sensors and in vivo fiber photometry to investigate NE and dopamine (DA) release dynamics in the dorsal hippocampal CA1 during contextual fear conditioning. Results Aversive foot shock increased both NE and DA release in the dorsal CA1, while freezing behavior associated with recall of fear memory was accompanied by decreased release. Moreover, we found that freezing at the recent time point was sensitive to both partial and complete loss of locus coeruleus-NE synthesis throughout prenatal and postnatal development, similar to previous observations of mice with global loss of NE synthesis beginning postnatally. In contrast, freezing at the remote time point was compromised only by complete loss of locus coeruleus-NE synthesis beginning prenatally. Conclusions Overall, these findings provide novel insights into the role of NE in contextual fear and the precise temporal dynamics of both NE and DA during freezing behavior and highlight complex relationships between genotype, sex, and NE signaling.
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Affiliation(s)
- Leslie R. Wilson
- Neurobiology Laboratory, NIEHS, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
- Neurobehavioral Core Laboratory, NIEHS, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - Nicholas W. Plummer
- Neurobiology Laboratory, NIEHS, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - Irina Y. Evsyukova
- Neurobiology Laboratory, NIEHS, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - Daniela Patino
- Neurobiology Laboratory, NIEHS, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - Casey L. Stewart
- Neurobiology Laboratory, NIEHS, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - Kathleen G. Smith
- Neurobiology Laboratory, NIEHS, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - Kathryn S. Konrad
- Social and Scientific Systems, Inc., a DLH Holdings Corp Company, Durham, North Carolina
| | - Sydney A. Fry
- Neurobehavioral Core Laboratory, NIEHS, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - Alex L. Deal
- Neurobiology Laboratory, NIEHS, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - Victor W. Kilonzo
- Neurobiology Laboratory, NIEHS, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - Sambit Panda
- Neurobehavioral Core Laboratory, NIEHS, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - Natale R. Sciolino
- Department of Physiology and Neurobiology, Department of Biomedical Engineering, Institute for System Genomics, Connecticut Institute for the Brain & Cognitive Sciences, University of Connecticut, Storrs, Connecticut
| | - Jesse D. Cushman
- Neurobehavioral Core Laboratory, NIEHS, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - Patricia Jensen
- Neurobiology Laboratory, NIEHS, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
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Li L, Rana AN, Li EM, Feng J, Li Y, Bruchas MR. Activity-dependent constraints on catecholamine signaling. Cell Rep 2023; 42:113566. [PMID: 38100349 PMCID: PMC11090260 DOI: 10.1016/j.celrep.2023.113566] [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: 06/11/2023] [Revised: 10/24/2023] [Accepted: 11/22/2023] [Indexed: 12/17/2023] Open
Abstract
Catecholamine signaling is thought to modulate cognition in an inverted-U relationship, but the mechanisms are unclear. We measured norepinephrine and dopamine release, postsynaptic calcium responses, and interactions between tonic and phasic firing modes under various stimuli and conditions. High tonic activity in vivo depleted catecholamine stores, desensitized postsynaptic responses, and decreased phasic transmission. Together, these findings provide a more complete understanding of the inverted-U relationship, offering insights into psychiatric disorders and neurodegenerative diseases with impaired catecholamine signaling.
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Affiliation(s)
- Li Li
- Department of Anesthesiology & Pain Medicine, University of Washington, Seattle, WA 98195, USA; Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA; Seattle Children's Research Institute, Seattle, WA 98101, USA.
| | - Akshay N Rana
- Department of Anesthesiology & Pain Medicine, University of Washington, Seattle, WA 98195, USA; Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA
| | - Esther M Li
- Department of Anesthesiology & Pain Medicine, University of Washington, Seattle, WA 98195, USA; Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA; Department of Psychology, University of Washington, Seattle, WA 98105, USA
| | - Jiesi Feng
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China
| | - 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
| | - Michael R Bruchas
- Department of Anesthesiology & Pain Medicine, University of Washington, Seattle, WA 98195, USA; Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA; Department of Bioengineering, University of Washington, Seattle, WA 98105, USA; Department of Pharmacology, University of Washington, Seattle, WA 98195, USA.
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Xi C, Diao J, Moon TS. Advances in ligand-specific biosensing for structurally similar molecules. Cell Syst 2023; 14:1024-1043. [PMID: 38128482 PMCID: PMC10751988 DOI: 10.1016/j.cels.2023.10.009] [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: 05/21/2023] [Revised: 08/23/2023] [Accepted: 10/19/2023] [Indexed: 12/23/2023]
Abstract
The specificity of biological systems makes it possible to develop biosensors targeting specific metabolites, toxins, and pollutants in complex medical or environmental samples without interference from structurally similar compounds. For the last two decades, great efforts have been devoted to creating proteins or nucleic acids with novel properties through synthetic biology strategies. Beyond augmenting biocatalytic activity, expanding target substrate scopes, and enhancing enzymes' enantioselectivity and stability, an increasing research area is the enhancement of molecular specificity for genetically encoded biosensors. Here, we summarize recent advances in the development of highly specific biosensor systems and their essential applications. First, we describe the rational design principles required to create libraries containing potential mutants with less promiscuity or better specificity. Next, we review the emerging high-throughput screening techniques to engineer biosensing specificity for the desired target. Finally, we examine the computer-aided evaluation and prediction methods to facilitate the construction of ligand-specific biosensors.
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Affiliation(s)
- Chenggang Xi
- Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Jinjin Diao
- Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Tae Seok Moon
- Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA; Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, MO, USA.
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71
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Sang D, Lin K, Yang Y, Ran G, Li B, Chen C, Li Q, Ma Y, Lu L, Cui XY, Liu Z, Lv SQ, Luo M, Liu Q, Li Y, Zhang EE. Prolonged sleep deprivation induces a cytokine-storm-like syndrome in mammals. Cell 2023; 186:5500-5516.e21. [PMID: 38016470 DOI: 10.1016/j.cell.2023.10.025] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 08/17/2023] [Accepted: 10/25/2023] [Indexed: 11/30/2023]
Abstract
Most animals require sleep, and sleep loss induces serious pathophysiological consequences, including death. Previous experimental approaches for investigating sleep impacts in mice have been unable to persistently deprive animals of both rapid eye movement sleep (REMS) and non-rapid eye movement sleep (NREMS). Here, we report a "curling prevention by water" paradigm wherein mice remain awake 96% of the time. After 4 days of exposure, mice exhibit severe inflammation, and approximately 80% die. Sleep deprivation increases levels of prostaglandin D2 (PGD2) in the brain, and we found that elevated PGD2 efflux across the blood-brain-barrier-mediated by ATP-binding cassette subfamily C4 transporter-induces both accumulation of circulating neutrophils and a cytokine-storm-like syndrome. Experimental disruption of the PGD2/DP1 axis dramatically reduced sleep-deprivation-induced inflammation. Thus, our study reveals that sleep-related changes in PGD2 in the central nervous system drive profound pathological consequences in the peripheral immune system.
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Affiliation(s)
- Di Sang
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China; National Institute of Biological Sciences, Beijing, China
| | - Keteng Lin
- National Institute of Biological Sciences, Beijing, China; College of Biological Sciences, China Agricultural University, Beijing, China
| | - Yini Yang
- Peking University School of Life Sciences, Beijing, China
| | - Guangdi Ran
- National Institute of Biological Sciences, Beijing, China; Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, China
| | - Bohan Li
- Peking-Tsinghua Center for Life Sciences, Beijing, China; Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Chen Chen
- National Institute of Biological Sciences, Beijing, China
| | - Qi Li
- National Institute of Biological Sciences, Beijing, China; Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, China
| | - Yan Ma
- National Institute of Biological Sciences, Beijing, China; Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, China
| | - Lihui Lu
- National Institute of Biological Sciences, Beijing, China
| | - Xi-Yang Cui
- Beijing National Laboratory for Molecular Sciences, Radiochemistry and Radiation Chemistry Key Laboratory of Fundamental Science College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Zhibo Liu
- Peking-Tsinghua Center for Life Sciences, Beijing, China; Beijing National Laboratory for Molecular Sciences, Radiochemistry and Radiation Chemistry Key Laboratory of Fundamental Science College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Sheng-Qing Lv
- Department of Neurosurgery, Xinqiao Hospital, Chongqing, China
| | - Minmin Luo
- National Institute of Biological Sciences, Beijing, China; School of Life Sciences, Tsinghua University, Beijing, China; Chinese Institute for Brain Research, Beijing, China
| | - Qinghua Liu
- National Institute of Biological Sciences, Beijing, China; Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, China
| | - Yulong Li
- Peking University School of Life Sciences, Beijing, China; Peking-Tsinghua Center for Life Sciences, Beijing, China; State Key Laboratory of Membrane Biology, Beijing, China; PKU-IDG/McGovern Institute for Brain Research, Beijing, China
| | - Eric Erquan Zhang
- National Institute of Biological Sciences, Beijing, China; Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, China.
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72
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Dong Y, Li Y, Xiang X, Xiao ZC, Hu J, Li Y, Li H, Hu H. Stress relief as a natural resilience mechanism against depression-like behaviors. Neuron 2023; 111:3789-3801.e6. [PMID: 37776853 DOI: 10.1016/j.neuron.2023.09.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 08/07/2023] [Accepted: 09/06/2023] [Indexed: 10/02/2023]
Abstract
Relief, the appetitive state after the termination of aversive stimuli, is evolutionarily conserved. Understanding the behavioral role of this well-conserved phenomenon and its underlying neurobiological mechanisms are open and important questions. Here, we discover that the magnitude of relief from physical stress strongly correlates with individual resilience to depression-like behaviors in chronic stressed mice. Notably, blocking stress relief causes vulnerability to depression-like behaviors, whereas natural rewards supplied shortly after stress promotes resilience. Stress relief is mediated by reward-related mesolimbic dopamine neurons, which show minute-long, persistent activation after stress termination. Circuitry-wise, activation or inhibition of circuits downstream of the ventral tegmental area during the transient relief period bi-directionally regulates depression resilience. These results reveal an evolutionary function of stress relief in depression resilience and identify the neural substrate mediating this effect. Importantly, our data suggest a behavioral strategy of augmenting positive valence of stress relief with natural rewards to prevent depression.
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Affiliation(s)
- Yiyan Dong
- Department of Psychiatry and International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu 322000, China; Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, State Key Laboratory of Brain-Machine Intelligence, New Cornerstone Science Laboratory, Zhejiang University, Hangzhou 311121, China
| | - Yifei Li
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, State Key Laboratory of Brain-Machine Intelligence, New Cornerstone Science Laboratory, Zhejiang University, Hangzhou 311121, China
| | - Xinkuan Xiang
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, State Key Laboratory of Brain-Machine Intelligence, New Cornerstone Science Laboratory, Zhejiang University, Hangzhou 311121, China
| | - Zhuo-Cheng Xiao
- Courant Institute of Mathematical Sciences, New York University, New York, NY 10003, USA
| | - Ji Hu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Yulong Li
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
| | - Haohong Li
- Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, State Key Laboratory of Brain-Machine Intelligence, New Cornerstone Science Laboratory, Zhejiang University, Hangzhou 311121, China
| | - Hailan Hu
- Department of Psychiatry and International Institutes of Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu 322000, China; Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, State Key Laboratory of Brain-Machine Intelligence, New Cornerstone Science Laboratory, Zhejiang University, Hangzhou 311121, China.
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73
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Hoffmann M, Henninger J, Veith J, Richter L, Judkewitz B. Blazed oblique plane microscopy reveals scale-invariant inference of brain-wide population activity. Nat Commun 2023; 14:8019. [PMID: 38049412 PMCID: PMC10695970 DOI: 10.1038/s41467-023-43741-x] [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: 05/05/2023] [Accepted: 11/17/2023] [Indexed: 12/06/2023] Open
Abstract
Due to the size and opacity of vertebrate brains, it has until now been impossible to simultaneously record neuronal activity at cellular resolution across the entire adult brain. As a result, scientists are forced to choose between cellular-resolution microscopy over limited fields-of-view or whole-brain imaging at coarse-grained resolution. Bridging the gap between these spatial scales of understanding remains a major challenge in neuroscience. Here, we introduce blazed oblique plane microscopy to perform brain-wide recording of neuronal activity at cellular resolution in an adult vertebrate. Contrary to common belief, we find that inferences of neuronal population activity are near-independent of spatial scale: a set of randomly sampled neurons has a comparable predictive power as the same number of coarse-grained macrovoxels. Our work thus links cellular resolution with brain-wide scope, challenges the prevailing view that macroscale methods are generally inferior to microscale techniques and underscores the value of multiscale approaches to studying brain-wide activity.
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Affiliation(s)
- Maximilian Hoffmann
- Einstein Center for Neurosciences, NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Rockefeller University, New York, USA
| | - Jörg Henninger
- Einstein Center for Neurosciences, NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Johannes Veith
- Einstein Center for Neurosciences, NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Department of Biology, Humboldt University Berlin, Berlin, Germany
| | - Lars Richter
- Department of Chemistry and Center for NanoScience, Ludwig Maximilians University, Munich, Germany
| | - Benjamin Judkewitz
- Einstein Center for Neurosciences, NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Berlin, Germany.
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74
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Ryczko D, Dubuc R. Dopamine control of downstream motor centers. Curr Opin Neurobiol 2023; 83:102785. [PMID: 37774481 DOI: 10.1016/j.conb.2023.102785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/18/2023] [Accepted: 08/26/2023] [Indexed: 10/01/2023]
Abstract
The role of dopamine in the control of movement is traditionally associated with ascending projections to the basal ganglia. However, more recently descending dopaminergic pathways projecting to downstream brainstem motor circuits were discovered. In lampreys, salamanders, and rodents, these include projections to the downstream Mesencephalic Locomotor Region (MLR), a brainstem region controlling locomotion. Such descending dopaminergic projections could prime brainstem networks controlling movement. Other descending dopaminergic projections have been shown to reach reticulospinal cells involved in the control of locomotion. In addition, dopamine directly modulates the activity of interneurons and motoneurons. Beyond locomotion, dopaminergic inputs modulate visuomotor transformations within the optic tectum (mammalian superior colliculus). Loss of descending dopaminergic inputs will likely contribute to pathological conditions such as in Parkinson's disease.
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Affiliation(s)
- Dimitri Ryczko
- Département de Pharmacologie-Physiologie, Université de Sherbrooke, Sherbrooke, Québec, Canada; Centre de recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada; Neurosciences Sherbrooke, Sherbrooke, Canada; Institut de Pharmacologie de Sherbrooke, Sherbrooke, Canada.
| | - Réjean Dubuc
- Groupe de Recherche en Activité Physique Adaptée, Département des Sciences de l'Activité Physique, Université du Québec à Montréal, Montréal, Québec, Canada; Groupe de recherche sur la Signalisation Neurale et la Circuiterie, Département de Neurosciences, Université de Montréal, Montréal, Québec, Canada.
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75
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Sands LP, Jiang A, Liebenow B, DiMarco E, Laxton AW, Tatter SB, Montague PR, Kishida KT. Subsecond fluctuations in extracellular dopamine encode reward and punishment prediction errors in humans. SCIENCE ADVANCES 2023; 9:eadi4927. [PMID: 38039368 PMCID: PMC10691773 DOI: 10.1126/sciadv.adi4927] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 11/03/2023] [Indexed: 12/03/2023]
Abstract
In the mammalian brain, midbrain dopamine neuron activity is hypothesized to encode reward prediction errors that promote learning and guide behavior by causing rapid changes in dopamine levels in target brain regions. This hypothesis (and alternatives regarding dopamine's role in punishment-learning) has limited direct evidence in humans. We report intracranial, subsecond measurements of dopamine release in human striatum measured, while volunteers (i.e., patients undergoing deep brain stimulation surgery) performed a probabilistic reward and punishment learning choice task designed to test whether dopamine release encodes only reward prediction errors or whether dopamine release may also encode adaptive punishment learning signals. Results demonstrate that extracellular dopamine levels can encode both reward and punishment prediction errors within distinct time intervals via independent valence-specific pathways in the human brain.
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Affiliation(s)
- L. Paul Sands
- Neuroscience Graduate Program, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Angela Jiang
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Brittany Liebenow
- Neuroscience Graduate Program, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Emily DiMarco
- Neuroscience Graduate Program, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Adrian W. Laxton
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Stephen B. Tatter
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - P. Read Montague
- Wellcome Centre for Human Neuroimaging, University College London, WC1N 3BG London, UK
- Fralin Biomedical Research Institute, Virginia Tech, Roanoke, VA 24016, USA
- Department of Physics, Virginia Tech, Blacksburg, VA 24061, USA
| | - Kenneth T. Kishida
- Neuroscience Graduate Program, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
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76
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Reumann D, Krauditsch C, Novatchkova M, Sozzi E, Wong SN, Zabolocki M, Priouret M, Doleschall B, Ritzau-Reid KI, Piber M, Morassut I, Fieseler C, Fiorenzano A, Stevens MM, Zimmer M, Bardy C, Parmar M, Knoblich JA. In vitro modeling of the human dopaminergic system using spatially arranged ventral midbrain-striatum-cortex assembloids. Nat Methods 2023; 20:2034-2047. [PMID: 38052989 PMCID: PMC10703680 DOI: 10.1038/s41592-023-02080-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 10/10/2023] [Indexed: 12/07/2023]
Abstract
Ventral midbrain dopaminergic neurons project to the striatum as well as the cortex and are involved in movement control and reward-related cognition. In Parkinson's disease, nigrostriatal midbrain dopaminergic neurons degenerate and cause typical Parkinson's disease motor-related impairments, while the dysfunction of mesocorticolimbic midbrain dopaminergic neurons is implicated in addiction and neuropsychiatric disorders. Study of the development and selective neurodegeneration of the human dopaminergic system, however, has been limited due to the lack of an appropriate model and access to human material. Here, we have developed a human in vitro model that recapitulates key aspects of dopaminergic innervation of the striatum and cortex. These spatially arranged ventral midbrain-striatum-cortical organoids (MISCOs) can be used to study dopaminergic neuron maturation, innervation and function with implications for cell therapy and addiction research. We detail protocols for growing ventral midbrain, striatal and cortical organoids and describe how they fuse in a linear manner when placed in custom embedding molds. We report the formation of functional long-range dopaminergic connections to striatal and cortical tissues in MISCOs, and show that injected, ventral midbrain-patterned progenitors can mature and innervate the tissue. Using these assembloids, we examine dopaminergic circuit perturbations and show that chronic cocaine treatment causes long-lasting morphological, functional and transcriptional changes that persist upon drug withdrawal. Thus, our method opens new avenues to investigate human dopaminergic cell transplantation and circuitry reconstruction as well as the effect of drugs on the human dopaminergic system.
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Affiliation(s)
- Daniel Reumann
- Institute of Molecular Biotechnology (IMBA) of the Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria
- Vienna BioCenter, Doctoral School of the University of Vienna and Medical University of Vienna, Vienna, Austria
| | - Christian Krauditsch
- Institute of Molecular Biotechnology (IMBA) of the Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria
| | - Maria Novatchkova
- Institute of Molecular Biotechnology (IMBA) of the Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria
| | - Edoardo Sozzi
- Department of Experimental Medical Science, Developmental and Regenerative Neurobiology, Wallenberg Neuroscience Center, Lund Stem Cell Center, Lund University, Lund, Sweden
| | - Sakurako Nagumo Wong
- Institute of Molecular Biotechnology (IMBA) of the Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria
- Vienna BioCenter, Doctoral School of the University of Vienna and Medical University of Vienna, Vienna, Austria
| | - Michael Zabolocki
- Laboratory for Human Neurophysiology and Genetics, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
- Flinders Health and Medical Research Institute, Flinders University, Adelaide, South Australia, Australia
| | - Marthe Priouret
- Institute of Molecular Biotechnology (IMBA) of the Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria
| | - Balint Doleschall
- Institute of Molecular Biotechnology (IMBA) of the Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria
- Vienna BioCenter, Doctoral School of the University of Vienna and Medical University of Vienna, Vienna, Austria
| | - Kaja I Ritzau-Reid
- Department of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London, London, UK
| | - Marielle Piber
- Institute of Molecular Biotechnology (IMBA) of the Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria
- Zebrafish Neurogenetics Unit, Institut Pasteur, Paris, France
| | - Ilaria Morassut
- Institute of Molecular Biotechnology (IMBA) of the Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria
- Department of Basic Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Charles Fieseler
- Department of Neuroscience and Developmental Biology, University of Vienna, Vienna, Austria
| | - Alessandro Fiorenzano
- Department of Experimental Medical Science, Developmental and Regenerative Neurobiology, Wallenberg Neuroscience Center, Lund Stem Cell Center, Lund University, Lund, Sweden
- Stem Cell Fate Laboratory, Institute of Genetics and Biophysics 'Adriano Buzzati Traverso' (IGB), CNR, Naples, Italy
| | - Molly M Stevens
- Department of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London, London, UK
| | - Manuel Zimmer
- Department of Neuroscience and Developmental Biology, University of Vienna, Vienna, Austria
| | - Cedric Bardy
- Laboratory for Human Neurophysiology and Genetics, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
- Flinders Health and Medical Research Institute, Flinders University, Adelaide, South Australia, Australia
| | - Malin Parmar
- Department of Experimental Medical Science, Developmental and Regenerative Neurobiology, Wallenberg Neuroscience Center, Lund Stem Cell Center, Lund University, Lund, Sweden
| | - Jürgen A Knoblich
- Institute of Molecular Biotechnology (IMBA) of the Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria.
- Department of Neurology, Medical University of Vienna, Vienna, Austria.
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77
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Wang H, Qian T, Zhao Y, Zhuo Y, Wu C, Osakada T, Chen P, Chen Z, Ren H, Yan Y, Geng L, Fu S, Mei L, Li G, Wu L, Jiang Y, Qian W, Zhang L, Peng W, Xu M, Hu J, Jiang M, Chen L, Tang C, Zhu Y, Lin D, Zhou JN, Li Y. A tool kit of highly selective and sensitive genetically encoded neuropeptide sensors. Science 2023; 382:eabq8173. [PMID: 37972184 PMCID: PMC11205257 DOI: 10.1126/science.abq8173] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 10/02/2023] [Indexed: 11/19/2023]
Abstract
Neuropeptides are key signaling molecules in the endocrine and nervous systems that regulate many critical physiological processes. Understanding the functions of neuropeptides in vivo requires the ability to monitor their dynamics with high specificity, sensitivity, and spatiotemporal resolution. However, this has been hindered by the lack of direct, sensitive, and noninvasive tools. We developed a series of GRAB (G protein-coupled receptor activation‒based) sensors for detecting somatostatin (SST), corticotropin-releasing factor (CRF), cholecystokinin (CCK), neuropeptide Y (NPY), neurotensin (NTS), and vasoactive intestinal peptide (VIP). These fluorescent sensors, which enable detection of specific neuropeptide binding at nanomolar concentrations, establish a robust tool kit for studying the release, function, and regulation of neuropeptides under both physiological and pathophysiological conditions.
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Affiliation(s)
- Huan Wang
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Tongrui Qian
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Yulin Zhao
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Yizhou Zhuo
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Chunling Wu
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Takuya Osakada
- Department of Psychiatry and Department of Neuroscience and Physiology, New York University Langone Medical Center, New York, NY 10016, USA
| | - Peng Chen
- Institute of Brain Science, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
- Chinese Academy of Sciences Key Laboratory of Brain Function and Diseases, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Zijun Chen
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Huixia Ren
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Yuqi Yan
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Lan Geng
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Shengwei Fu
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Long Mei
- Department of Psychiatry and Department of Neuroscience and Physiology, New York University Langone Medical Center, New York, NY 10016, USA
| | - Guochuan Li
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Ling Wu
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Yiwen Jiang
- Department of Psychiatry and Department of Neuroscience and Physiology, New York University Langone Medical Center, New York, NY 10016, USA
| | - Weiran Qian
- Institute of Molecular Medicine, Peking University, Beijing 100871, China
| | - Li Zhang
- Department of Physiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wanling Peng
- Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Min Xu
- Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Ji Hu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Man Jiang
- Department of Physiology, School of Basic Medicine and Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Liangyi Chen
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Chao Tang
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Yingjie Zhu
- Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Dayu Lin
- Department of Psychiatry and Department of Neuroscience and Physiology, New York University Langone Medical Center, New York, NY 10016, USA
| | - Jiang-Ning Zhou
- Institute of Brain Science, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
- Chinese Academy of Sciences Key Laboratory of Brain Function and Diseases, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Yulong Li
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
- National Biomedical Imaging Center, Peking University, Beijing 100871, China
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78
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Vu MAT, Brown EH, Wen MJ, Noggle CA, Zhang Z, Monk KJ, Bouabid S, Mroz L, Graham BM, Zhuo Y, Li Y, Otchy TM, Tian L, Davison IG, Boas DA, Howe MW. Targeted micro-fiber arrays for measuring and manipulating localized multi-scale neural dynamics over large, deep brain volumes during behavior. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.17.567425. [PMID: 38014018 PMCID: PMC10680831 DOI: 10.1101/2023.11.17.567425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Neural population dynamics relevant for behavior vary over multiple spatial and temporal scales across 3-dimensional volumes. Current optical approaches lack the spatial coverage and resolution necessary to measure and manipulate naturally occurring patterns of large-scale, distributed dynamics within and across deep brain regions such as the striatum. We designed a new micro-fiber array and imaging approach capable of chronically measuring and optogenetically manipulating local dynamics across over 100 targeted locations simultaneously in head-fixed and freely moving mice. We developed a semi-automated micro-CT based strategy to precisely localize positions of each optical fiber. This highly-customizable approach enables investigation of multi-scale spatial and temporal patterns of cell-type and neurotransmitter specific signals over arbitrary 3-D volumes at a spatial resolution and coverage previously inaccessible. We applied this method to resolve rapid dopamine release dynamics across the striatum volume which revealed distinct, modality specific spatiotemporal patterns in response to salient sensory stimuli extending over millimeters of tissue. Targeted optogenetics through our fiber arrays enabled flexible control of neural signaling on multiple spatial scales, better matching endogenous signaling patterns, and spatial localization of behavioral function across large circuits.
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Affiliation(s)
- Mai-Anh T. Vu
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Eleanor H. Brown
- Graduate Program for Neuroscience, Boston University, Boston, MA, USA
| | - Michelle J. Wen
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
- Department of Neurobiology, Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Christian A. Noggle
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD, USA
| | - Zicheng Zhang
- Department of Biology, Boston University, Boston, MA, USA
| | - Kevin J. Monk
- Department of Biology, Boston University, Boston, MA, USA
| | - Safa Bouabid
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
| | - Lydia Mroz
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
- Northeastern University, Boston, MA, USA
| | - Benjamin M. Graham
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
| | - Yizhou Zhuo
- 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, 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, Beijing, China
| | | | - Lin Tian
- Department of Biochemistry and Molecular Medicine, University of California, Davis, CA
| | - Ian G. Davison
- Department of Biology, Boston University, Boston, MA, USA
| | - David A. Boas
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Mark W. Howe
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
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79
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Amo R, Uchida N, Watabe-Uchida M. Glutamate inputs send prediction error of reward but not negative value of aversive stimuli to dopamine neurons. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.09.566472. [PMID: 37986868 PMCID: PMC10659341 DOI: 10.1101/2023.11.09.566472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Midbrain dopamine neurons are thought to signal reward prediction errors (RPEs) but the mechanisms underlying RPE computation, particularly contributions of different neurotransmitters, remain poorly understood. Here we used a genetically-encoded glutamate sensor to examine the pattern of glutamate inputs to dopamine neurons. We found that glutamate inputs exhibit virtually all of the characteristics of RPE, rather than conveying a specific component of RPE computation such as reward or expectation. Notably, while glutamate inputs were transiently inhibited by reward omission, they were excited by aversive stimuli. Opioid analgesics altered dopamine negative responses to aversive stimuli toward more positive responses, while excitatory responses of glutamate inputs remained unchanged. Our findings uncover previously unknown synaptic mechanisms underlying RPE computations; dopamine responses are shaped by both synergistic and competitive interactions between glutamatergic and GABAergic inputs to dopamine neurons depending on valences, with competitive interactions playing a role in responses to aversive stimuli.
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Affiliation(s)
- Ryunosuke Amo
- Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Naoshige Uchida
- Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Mitsuko Watabe-Uchida
- Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
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80
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Chen APF, Chen L, Shi KW, Cheng E, Ge S, Xiong Q. Nigrostriatal dopamine modulates the striatal-amygdala pathway in auditory fear conditioning. Nat Commun 2023; 14:7231. [PMID: 37945595 PMCID: PMC10636191 DOI: 10.1038/s41467-023-43066-9] [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: 03/02/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023] Open
Abstract
The auditory striatum, a sensory portion of the dorsal striatum, plays an essential role in learning and memory. In contrast to its roles and underlying mechanisms in operant conditioning, however, little is known about its contribution to classical auditory fear conditioning. Here, we reveal the function of the auditory striatum in auditory-conditioned fear memory. We find that optogenetically inhibiting auditory striatal neurons impairs fear memory formation, which is mediated through the striatal-amygdala pathway. Using calcium imaging in behaving mice, we find that auditory striatal neuronal responses to conditioned tones potentiate across memory acquisition and expression. Furthermore, nigrostriatal dopaminergic projections plays an important role in modulating conditioning-induced striatal potentiation. Together, these findings demonstrate the existence of a nigro-striatal-amygdala circuit for conditioned fear memory formation and expression.
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Affiliation(s)
- Allen P F Chen
- Department of Neurobiology and Behavior, SUNY Stony Brook, Stony Brook, NY, 11794, USA
- Medical Scientist Training Program, Renaissance School of Medicine at SUNY Stony Brook, Stony Brook, NY, 11794, USA
| | - Lu Chen
- Department of Neurobiology and Behavior, SUNY Stony Brook, Stony Brook, NY, 11794, USA
| | - Kaiyo W Shi
- Department of Neurobiology and Behavior, SUNY Stony Brook, Stony Brook, NY, 11794, USA
| | - Eileen Cheng
- Department of Neurobiology and Behavior, SUNY Stony Brook, Stony Brook, NY, 11794, USA
- Department of Physiology and Biophysics, SUNY Stony Brook, Stony Brook, NY, 11794, USA
| | - Shaoyu Ge
- Department of Neurobiology and Behavior, SUNY Stony Brook, Stony Brook, NY, 11794, USA
| | - Qiaojie Xiong
- Department of Neurobiology and Behavior, SUNY Stony Brook, Stony Brook, NY, 11794, USA.
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81
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Slézia A, Hegedüs P, Rusina E, Lengyel K, Solari N, Kaszas A, Balázsfi D, Botzanowski B, Acerbo E, Missey F, Williamson A, Hangya B. Behavioral, neural and ultrastructural alterations in a graded-dose 6-OHDA mouse model of early-stage Parkinson's disease. Sci Rep 2023; 13:19478. [PMID: 37945922 PMCID: PMC10636184 DOI: 10.1038/s41598-023-46576-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 11/02/2023] [Indexed: 11/12/2023] Open
Abstract
Studying animal models furthers our understanding of Parkinson's disease (PD) pathophysiology by providing tools to investigate detailed molecular, cellular and circuit functions. Different versions of the neurotoxin-based 6-hydroxydopamine (6-OHDA) model of PD have been widely used in rats. However, these models typically assess the result of extensive and definitive dopaminergic lesions that reflect a late stage of PD, leading to a paucity of studies and a consequential gap of knowledge regarding initial stages, in which early interventions would be possible. Additionally, the better availability of genetic tools increasingly shifts the focus of research from rats to mice, but few mouse PD models are available yet. To address these, we characterize here the behavioral, neuronal and ultrastructural features of a graded-dose unilateral, single-injection, striatal 6-OHDA model in mice, focusing on early-stage changes within the first two weeks of lesion induction. We observed early onset, dose-dependent impairments of overall locomotion without substantial deterioration of motor coordination. In accordance, histological evaluation demonstrated a partial, dose-dependent loss of dopaminergic neurons of substantia nigra pars compacta (SNc). Furthermore, electron microscopic analysis revealed degenerative ultrastructural changes in SNc dopaminergic neurons. Our results show that mild ultrastructural and cellular degradation of dopaminergic neurons of the SNc can lead to certain motor deficits shortly after unilateral striatal lesions, suggesting that a unilateral dose-dependent intrastriatal 6-OHDA lesion protocol can serve as a successful model of the early stages of Parkinson's disease in mice.
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Affiliation(s)
- Andrea Slézia
- Institute of Experimental Medicine, Lendület Laboratory of Systems Neuroscience, Budapest, Hungary.
- Institut de Neurosciences Des Systèmes, INSERM UMR S 1106, Aix-Marseille Université, Marseille, France.
- Institute of Cognitive Neuroscience and Psychology, Eotvos Lorand Research Network, Budapest, Hungary.
- Institut de Neurosciences de la Timone, CNRS UMR 7289, Aix-Marseille Université, Marseille, France.
| | - Panna Hegedüs
- Institute of Experimental Medicine, Lendület Laboratory of Systems Neuroscience, Budapest, Hungary
- János Szentágothai Doctoral School of Neurosciences, Semmelweis University, Budapest, Hungary
| | - Evgeniia Rusina
- Institut de Neurosciences Des Systèmes, INSERM UMR S 1106, Aix-Marseille Université, Marseille, France
| | - Katalin Lengyel
- Institute of Experimental Medicine, Lendület Laboratory of Systems Neuroscience, Budapest, Hungary
| | - Nicola Solari
- Institute of Experimental Medicine, Lendület Laboratory of Systems Neuroscience, Budapest, Hungary
| | - Attila Kaszas
- Institut de Neurosciences de la Timone, CNRS UMR 7289, Aix-Marseille Université, Marseille, France
| | - Diána Balázsfi
- Institute of Experimental Medicine, Lendület Laboratory of Systems Neuroscience, Budapest, Hungary
| | - Boris Botzanowski
- Institut de Neurosciences Des Systèmes, INSERM UMR S 1106, Aix-Marseille Université, Marseille, France
| | - Emma Acerbo
- Institut de Neurosciences Des Systèmes, INSERM UMR S 1106, Aix-Marseille Université, Marseille, France
| | - Florian Missey
- Institut de Neurosciences Des Systèmes, INSERM UMR S 1106, Aix-Marseille Université, Marseille, France
| | - Adam Williamson
- Institut de Neurosciences Des Systèmes, INSERM UMR S 1106, Aix-Marseille Université, Marseille, France.
- International Clinical Research Center (ICRC), St. Anne's University Hospital, Brno, Czech Republic.
| | - Balázs Hangya
- Institute of Experimental Medicine, Lendület Laboratory of Systems Neuroscience, Budapest, Hungary.
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82
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Morishita M, Kobayashi K, Mitsuzuka M, Takagi R, Ono K, Momma R, Tsuneoka Y, Horio S, Tsukahara S. Two-Step Actions of Testicular Androgens in the Organization of a Male-Specific Neural Pathway from the Medial Preoptic Area to the Ventral Tegmental Area for Modulating Sexually Motivated Behavior. J Neurosci 2023; 43:7322-7336. [PMID: 37722849 PMCID: PMC10621776 DOI: 10.1523/jneurosci.0361-23.2023] [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: 02/27/2023] [Revised: 08/16/2023] [Accepted: 09/13/2023] [Indexed: 09/20/2023] Open
Abstract
The medial preoptic area (MPOA) is a sexually dimorphic region of the brain that regulates social behaviors. The sexually dimorphic nucleus (SDN) of the MPOA has been studied to understand sexual dimorphism, although the anatomy and physiology of the SDN is not fully understood. Here, we characterized SDN neurons that contribute to sexual dimorphism and investigated the mechanisms underlying the emergence of such neurons and their roles in social behaviors. A target-specific neuroanatomical study using transgenic mice expressing Cre recombinase under the control of Calb1, a gene expressed abundantly in the SDN, revealed that SDN neurons are divided into two subpopulations, GABA neurons projecting to the ventral tegmental area (VTA), where they link to the dopamine system (CalbVTA neurons), and GABA neurons that extend axons in the MPOA or project to neighboring regions (CalbnonVTA neurons). CalbVTA neurons were abundant in males, but were scarce or absent in females. There was no difference in the number of CalbnonVTA neurons between sexes. Additionally, we found that emergence of CalbVTA neurons requires two testicular androgen actions that occur first in the postnatal period and second in the peripubertal period. Chemogenetic analyses of CalbVTA neurons indicated a role in modulating sexual motivation in males. Knockdown of Calb1 in the MPOA reduced the intromission required for males to complete copulation. These findings provide strong evidence that a male-specific neural pathway from the MPOA to the VTA is organized by the two-step actions of testicular androgens for the modulation of sexually motivated behavior.SIGNIFICANCE STATEMENT The MPOA is a sexually dimorphic region of the brain that regulates social behaviors, although its sexual dimorphism is not fully understood. Here, we describe a population of MPOA neurons that contribute to the sexual dimorphism. These neurons only exist in masculinized brains, and they project their axons to the ventral tegmental area, where they link to the dopamine system. Emergence of such neurons requires two testicular androgen actions that occur first in the postnatal period and second in the peripubertal period. These MPOA neurons endow masculinized brains with a neural pathway from the MPOA to the ventral tegmental area and modulate sexually motivated behavior in males.
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Affiliation(s)
- Masahiro Morishita
- Division of Life Science, Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan
| | - Kaito Kobayashi
- Division of Life Science, Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan
| | - Moeri Mitsuzuka
- Division of Life Science, Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan
| | - Ryo Takagi
- Division of Life Science, Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan
| | - Kota Ono
- Division of Life Science, Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan
| | - Rami Momma
- Division of Life Science, Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan
| | - Yousuke Tsuneoka
- Department of Anatomy, Faculty of Medicine, Toho University, Tokyo 43-8540, Japan
| | - Shuhei Horio
- Division of Endocrinology and Metabolism, National Institute for Physiological Sciences, Okazaki 444-8585, Japan
| | - Shinji Tsukahara
- Division of Life Science, Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan
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83
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Guo L, Mao J, Zhang Q, Fan W, Wang D, Li Z, Huang J, Xie J. Pharmacokinetic and pharmacodynamic studies of nicotine in rat brain: a simultaneous investigation of nicotine metabolites and the release of neurotransmitters in vivo. Front Chem 2023; 11:1275478. [PMID: 37937208 PMCID: PMC10626537 DOI: 10.3389/fchem.2023.1275478] [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: 08/10/2023] [Accepted: 10/09/2023] [Indexed: 11/09/2023] Open
Abstract
Introduction: The body's ability to metabolize nicotine and the disposition of nicotine in the brain are important determinants of its exposure. Limited knowledge about the near real-time changes of neurochemicals during the brain nicotine metabolic process hinders the recognition of its multiple neuropharmacological effects. Methods: An online microdialysis coupled with UHPLC-HRMS/MS method for the in vivo multi-analysis of nicotine metabolites and several neurotransmitters in rat brain was developed. Whether the systemic modulation of metabolic enzyme CYP2B would modulate nicotine pharmacokinetics and local neurochemical effects was further investigated. Results: The dynamic profiles of over 10 nicotine metabolites and neurotransmitters were simultaneously obtained after a single injection of nicotine (2 mg·kg-1, i.p.) using the new method. Proadifen pretreatment (50 mg·kg-1·d-1, i.p., 4 days) caused significant inhibition of brain CYP2B1 activity. When exposed to nicotine, the brain C max of nicotine was 1.26 times higher and the levels of nicotine metabolites, nornicotine, and nicotine-N-oxide, were decreased by 85.3% and 34.4% in proadifen-pretreated rats. The higher level of brain nicotine induced a greater release of dopamine, serotonin, glutamate, and γ-amino-butyric acid in the nucleus accumbens. The concentrations of nicotine and dopamine were positively correlated, and the average levels of γ-amino-butyric acid and serotonin were 2.7 and 1.2 times higher, respectively, under the inhibition of nicotine metabolism. Discussion: These results demonstrated that inhibiting nicotine metabolism in rats can enhance the residence of brain nicotine and its local neurotransmitter effects. The metabolic activity of nicotine under different physiological conditions could regulate nicotine's bioavailability and its resulting pharmacology.
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Affiliation(s)
- Lulu Guo
- Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, China
- Beijing Life Science Academy, Beijing, China
- Food Laboratory of Zhongyuan, Zhengzhou University, Zhengzhou, China
| | - Jian Mao
- Beijing Life Science Academy, Beijing, China
- Food Laboratory of Zhongyuan, Zhengzhou University, Zhengzhou, China
| | | | - Wu Fan
- Beijing Life Science Academy, Beijing, China
| | | | - Zhonghao Li
- Beijing Life Science Academy, Beijing, China
| | - Jiaqiang Huang
- Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, China
| | - Jianping Xie
- Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, China
- Beijing Life Science Academy, Beijing, China
- Food Laboratory of Zhongyuan, Zhengzhou University, Zhengzhou, China
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84
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Xu S, Momin M, Ahmed S, Hossain A, Veeramuthu L, Pandiyan A, Kuo CC, Zhou T. Illuminating the Brain: Advances and Perspectives in Optoelectronics for Neural Activity Monitoring and Modulation. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2303267. [PMID: 37726261 DOI: 10.1002/adma.202303267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 05/30/2023] [Indexed: 09/21/2023]
Abstract
Optogenetic modulation of brain neural activity that combines optical and electrical modes in a unitary neural system has recently gained robust momentum. Controlling illumination spatial coverage, designing light-activated modulators, and developing wireless light delivery and data transmission are crucial for maximizing the use of optical neuromodulation. To this end, biocompatible electrodes with enhanced optoelectrical performance, device integration for multiplexed addressing, wireless transmission, and multimodal operation in soft systems have been developed. This review provides an outlook for uniformly illuminating large brain areas while spatiotemporally imaging the neural responses upon optoelectrical stimulation with little artifacts. Representative concepts and important breakthroughs, such as head-mounted illumination, multiple implanted optical fibers, and micro-light-delivery devices, are discussed. Examples of techniques that incorporate electrophysiological monitoring and optoelectrical stimulation are presented. Challenges and perspectives are posed for further research efforts toward high-density optoelectrical neural interface modulation, with the potential for nonpharmacological neurological disease treatments and wireless optoelectrical stimulation.
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Affiliation(s)
- Shumao Xu
- Department of Engineering Science and Mechanics, Center for Neural Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
| | - Marzia Momin
- Department of Engineering Science and Mechanics, Center for Neural Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
| | - Salahuddin Ahmed
- Department of Engineering Science and Mechanics, Center for Neural Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
| | - Arafat Hossain
- Department of Electrical Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
| | - Loganathan Veeramuthu
- Department of Molecular Science and Engineering, National Taipei University of Technology, Taipei, 10608, Republic of China
| | - Archana Pandiyan
- Department of Molecular Science and Engineering, National Taipei University of Technology, Taipei, 10608, Republic of China
| | - Chi-Ching Kuo
- Department of Molecular Science and Engineering, National Taipei University of Technology, Taipei, 10608, Republic of China
| | - Tao Zhou
- Department of Engineering Science and Mechanics, Center for Neural Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
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85
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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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86
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Castel J, Li G, Oriane O, Leishman E, Cani PD, Bradshaw H, Mackie K, Everard A, Luquet S, Gangarossa G. NAPE-PLD in the ventral tegmental area regulates reward events, feeding and energy homeostasis. RESEARCH SQUARE 2023:rs.3.rs-3199777. [PMID: 37790425 PMCID: PMC10543029 DOI: 10.21203/rs.3.rs-3199777/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
The N-acyl phosphatidylethanolamine-specific phospholipase D (NAPE-PLD) catalyzes the production of N-acylethanolamines (NAEs), a family of endogenous bioactive lipids, which are involved in various biological processes ranging from neuronal functions to energy homeostasis and feeding behaviors. Reward-dependent behaviors depend on dopamine (DA) transmission between the ventral tegmental area (VTA) and the nucleus accumbens (NAc), which conveys reward-values and scales reinforced behaviors. However, whether and how NAPE-PLD may contribute to the regulation of feeding and reward-dependent behaviors has not yet been investigated. This biological question is of paramount importance since NAEs are altered in obesity and metabolic disorders. Here, we show that transcriptomic meta-analysis highlights a potential role for NAPE-PLD within the VTA®NAc circuit. Using brain-specific invalidation approaches, we report that the integrity of NAPE-PLD is required for the proper homeostasis of NAEs within the midbrain VTA and it affects food-reward behaviors. Moreover, region-specific knock-down of NAPE-PLD in the VTA enhanced food-reward seeking and reinforced behaviors, which were associated with increased in vivo DA release dynamics in response to both food and non-food-related rewards together with heightened tropism towards food consumption. Furthermore, midbrain knock-down of NAPE-PLD, which increased energy expenditure and adapted nutrient partitioning, elicited a relative protection against high-fat diet-mediated body fat gain and obesity-associated metabolic features. In conclusion, these findings reveal a new key role of VTA NAPE-PLD in shaping DA-dependent events, feeding behaviors and energy homeostasis, thus providing new insights on the regulation of body metabolism.
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Affiliation(s)
- Julien Castel
- Université de Paris, CNRS, Unité de Biologie Fonctionnelle et Adaptative, F-75013 Paris, France
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87
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Aso Y, Yamada D, Bushey D, Hibbard KL, Sammons M, Otsuna H, Shuai Y, Hige T. Neural circuit mechanisms for transforming learned olfactory valences into wind-oriented movement. eLife 2023; 12:e85756. [PMID: 37721371 PMCID: PMC10588983 DOI: 10.7554/elife.85756] [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: 12/22/2022] [Accepted: 09/07/2023] [Indexed: 09/19/2023] Open
Abstract
How memories are used by the brain to guide future action is poorly understood. In olfactory associative learning in Drosophila, multiple compartments of the mushroom body act in parallel to assign a valence to a stimulus. Here, we show that appetitive memories stored in different compartments induce different levels of upwind locomotion. Using a photoactivation screen of a new collection of split-GAL4 drivers and EM connectomics, we identified a cluster of neurons postsynaptic to the mushroom body output neurons (MBONs) that can trigger robust upwind steering. These UpWind Neurons (UpWiNs) integrate inhibitory and excitatory synaptic inputs from MBONs of appetitive and aversive memory compartments, respectively. After formation of appetitive memory, UpWiNs acquire enhanced response to reward-predicting odors as the response of the inhibitory presynaptic MBON undergoes depression. Blocking UpWiNs impaired appetitive memory and reduced upwind locomotion during retrieval. Photoactivation of UpWiNs also increased the chance of returning to a location where activation was terminated, suggesting an additional role in olfactory navigation. Thus, our results provide insight into how learned abstract valences are gradually transformed into concrete memory-driven actions through divergent and convergent networks, a neuronal architecture that is commonly found in the vertebrate and invertebrate brains.
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Affiliation(s)
- Yoshinori Aso
- Janelia Research Campus, Howard Hughes Medical InstituteAshburnUnited States
| | - Daichi Yamada
- Department of Biology, University of North Carolina at Chapel HillChapel HillUnited States
| | - Daniel Bushey
- Janelia Research Campus, Howard Hughes Medical InstituteAshburnUnited States
| | - Karen L Hibbard
- Janelia Research Campus, Howard Hughes Medical InstituteAshburnUnited States
| | - Megan Sammons
- Janelia Research Campus, Howard Hughes Medical InstituteAshburnUnited States
| | - Hideo Otsuna
- Janelia Research Campus, Howard Hughes Medical InstituteAshburnUnited States
| | - Yichun Shuai
- Janelia Research Campus, Howard Hughes Medical InstituteAshburnUnited States
| | - Toshihide Hige
- Department of Biology, University of North Carolina at Chapel HillChapel HillUnited States
- Department of Cell Biology and Physiology, University of North Carolina at Chapel HillChapel HillUnited States
- Integrative Program for Biological and Genome Sciences, University of North Carolina at Chapel HillChapel HillUnited States
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88
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Rivera JF, Weng W, Huang H, Rao S, Herring BE, Arnold DB. ATLAS: A rationally designed anterograde transsynaptic tracer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.12.557425. [PMID: 37745471 PMCID: PMC10515852 DOI: 10.1101/2023.09.12.557425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Neural circuits, which constitute the substrate for brain processing, can be traced in the retrograde direction, from postsynaptic to presynaptic cells, using methods based on introducing modified rabies virus into genetically marked cell types. These methods have revolutionized the field of neuroscience. However, similarly reliable, transsynaptic, and non-toxic methods to trace circuits in the anterograde direction are not available. Here, we describe such a method based on an antibody-like protein selected against the extracellular N-terminus of the AMPA receptor subunit GluA1 (AMPA.FingR). ATLAS (Anterograde Transsynaptic Label based on Antibody-like Sensors) is engineered to release the AMPA.FingR and its payload, which can include Cre recombinase, from presynaptic sites into the synaptic cleft, after which it binds to GluA1, enters postsynaptic cells through endocytosis and subsequently carries its payload to the nucleus. Testing in vivo and in dissociated cultures shows that ATLAS mediates monosynaptic tracing from genetically determined cells that is strictly anterograde, synaptic, and non-toxic. Moreover, ATLAS shows activity dependence, which may make tracing active circuits that underlie specific behaviors possible.
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Affiliation(s)
- Jacqueline F. Rivera
- Department of Biology, University of Southern California, Los Angeles, CA 90089
- These authors contributed equally
| | - Weiguang Weng
- Department of Biology, University of Southern California, Los Angeles, CA 90089
- These authors contributed equally
| | - Haoyang Huang
- Department of Biology, University of Southern California, Los Angeles, CA 90089
- These authors contributed equally
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA 90089
| | - Sadhna Rao
- Department of Biology, University of Southern California, Los Angeles, CA 90089
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA 90089
| | - Bruce E. Herring
- Department of Biology, University of Southern California, Los Angeles, CA 90089
| | - Don B. Arnold
- Department of Biology, University of Southern California, Los Angeles, CA 90089
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89
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Kagiampaki Z, Rohner V, Kiss C, Curreli S, Dieter A, Wilhelm M, Harada M, Duss SN, Dernic J, Bhat MA, Zhou X, Ravotto L, Ziebarth T, Wasielewski LM, Sönmez L, Benke D, Weber B, Bohacek J, Reiner A, Wiegert JS, Fellin T, Patriarchi T. Sensitive multicolor indicators for monitoring norepinephrine in vivo. Nat Methods 2023; 20:1426-1436. [PMID: 37474807 PMCID: PMC7615053 DOI: 10.1038/s41592-023-01959-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 06/16/2023] [Indexed: 07/22/2023]
Abstract
Genetically encoded indicators engineered from G-protein-coupled receptors are important tools that enable high-resolution in vivo neuromodulator imaging. Here, we introduce a family of sensitive multicolor norepinephrine (NE) indicators, which includes nLightG (green) and nLightR (red). These tools report endogenous NE release in vitro, ex vivo and in vivo with improved sensitivity, ligand selectivity and kinetics, as well as a distinct pharmacological profile compared with previous state-of-the-art GRABNE indicators. Using in vivo multisite fiber photometry recordings of nLightG, we could simultaneously monitor optogenetically evoked NE release in the mouse locus coeruleus and hippocampus. Two-photon imaging of nLightG revealed locomotion and reward-related NE transients in the dorsal CA1 area of the hippocampus. Thus, the sensitive NE indicators introduced here represent an important addition to the current repertoire of indicators and provide the means for a thorough investigation of the NE system.
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Affiliation(s)
| | - Valentin Rohner
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Cedric Kiss
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Sebastiano Curreli
- Optical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Alexander Dieter
- Research Group Synaptic Wiring and Information Processing, Center for Molecular Neurobiology Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Neurophysiology, MCTN, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Maria Wilhelm
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Masaya Harada
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Sian N Duss
- Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zürich, Zürich, 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
| | - Xuehan Zhou
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Luca Ravotto
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Tim Ziebarth
- Cellular Neurobiology, Department of Biology and Biotechnology, Ruhr University Bochum, Bochum, Germany
| | - Laura Moreno Wasielewski
- Cellular Neurobiology, Department of Biology and Biotechnology, Ruhr University Bochum, Bochum, Germany
| | - Latife Sönmez
- Cellular Neurobiology, Department of Biology and Biotechnology, Ruhr University Bochum, Bochum, Germany
| | - 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
| | - Johannes Bohacek
- Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
- Neuroscience Center Zurich, University and ETH Zürich, Zürich, Switzerland
| | - Andreas Reiner
- Cellular Neurobiology, Department of Biology and Biotechnology, Ruhr University Bochum, Bochum, Germany
| | - J Simon Wiegert
- Research Group Synaptic Wiring and Information Processing, Center for Molecular Neurobiology Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Neurophysiology, MCTN, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Tommaso Fellin
- Optical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genoa, Italy
| | - 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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90
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Chantranupong L, Beron CC, Zimmer JA, Wen MJ, Wang W, Sabatini BL. Dopamine and glutamate regulate striatal acetylcholine in decision-making. Nature 2023; 621:577-585. [PMID: 37557915 PMCID: PMC10511323 DOI: 10.1038/s41586-023-06492-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 07/28/2023] [Indexed: 08/11/2023]
Abstract
Striatal dopamine and acetylcholine are essential for the selection and reinforcement of motor actions and decision-making1. In vitro studies have revealed an intrastriatal circuit in which acetylcholine, released by cholinergic interneurons (CINs), drives the release of dopamine, and dopamine, in turn, inhibits the activity of CINs through dopamine D2 receptors (D2Rs). Whether and how this circuit contributes to striatal function in vivo is largely unknown. Here, to define the role of this circuit in a living system, we monitored acetylcholine and dopamine signals in the ventrolateral striatum of mice performing a reward-based decision-making task. We establish that dopamine and acetylcholine exhibit multiphasic and anticorrelated transients that are modulated by decision history and reward outcome. Dopamine dynamics and reward encoding do not require the release of acetylcholine by CINs. However, dopamine inhibits acetylcholine transients in a D2R-dependent manner, and loss of this regulation impairs decision-making. To determine how other striatal inputs shape acetylcholine signals, we assessed the contribution of cortical and thalamic projections, and found that glutamate release from both sources is required for acetylcholine release. Altogether, we uncover a dynamic relationship between dopamine and acetylcholine during decision-making, and reveal multiple modes of CIN regulation. These findings deepen our understanding of the neurochemical basis of decision-making and behaviour.
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Affiliation(s)
- Lynne Chantranupong
- Department of Neurobiology, Howard Hughes Medical Institute, Harvard Medical School, Boston, USA
| | - Celia C Beron
- Department of Neurobiology, Howard Hughes Medical Institute, Harvard Medical School, Boston, USA
| | - Joshua A Zimmer
- Department of Neurobiology, Howard Hughes Medical Institute, Harvard Medical School, Boston, USA
| | - Michelle J Wen
- Department of Neurobiology, Howard Hughes Medical Institute, Harvard Medical School, Boston, USA
| | - Wengang Wang
- Department of Neurobiology, Howard Hughes Medical Institute, Harvard Medical School, Boston, USA
| | - Bernardo L Sabatini
- Department of Neurobiology, Howard Hughes Medical Institute, Harvard Medical School, Boston, USA.
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91
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Krok AC, Maltese M, Mistry P, Miao X, Li Y, Tritsch NX. Intrinsic dopamine and acetylcholine dynamics in the striatum of mice. Nature 2023; 621:543-549. [PMID: 37558873 DOI: 10.1038/s41586-023-05995-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 03/22/2023] [Indexed: 08/11/2023]
Abstract
External rewards such as food and money are potent modifiers of behaviour1,2. Pioneering studies established that these salient sensory stimuli briefly interrupt the tonic discharge of neurons that produce the neuromodulators dopamine (DA) and acetylcholine (ACh): midbrain DA neurons (DANs) fire a burst of action potentials that broadly elevates DA in the striatum3,4 at the same time that striatal cholinergic interneurons (CINs) produce a characteristic pause in firing5,6. These phasic responses are thought to create unique, temporally limited conditions that motivate action and promote learning7-11. However, the dynamics of DA and ACh outside explicitly rewarded situations remain poorly understood. Here we show that extracellular DA and ACh levels fluctuate spontaneously and periodically at a frequency of approximately 2 Hz in the dorsal striatum of mice and maintain the same temporal relationship relative to one another as that evoked by reward. We show that this neuromodulatory coordination does not arise from direct interactions between DA and ACh within the striatum. Instead, we provide evidence that periodic fluctuations in striatal DA are inherited from midbrain DANs, while striatal ACh transients are driven by glutamatergic inputs, which act to locally synchronize the spiking of CINs. Together, our findings show that striatal neuromodulatory dynamics are autonomously organized by distributed extra-striatal afferents. The dominance of intrinsic rhythms in DA and ACh offers new insights for explaining how reward-associated neural dynamics emerge and how the brain motivates action and promotes learning from within.
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Affiliation(s)
- Anne C Krok
- Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, USA
- Fresco Institute for Parkinson's and Movement Disorders, New York University Langone Health, New York, NY, USA
| | - Marta Maltese
- Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, USA
- Fresco Institute for Parkinson's and Movement Disorders, New York University Langone Health, New York, NY, USA
| | - Pratik Mistry
- Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, USA
- Fresco Institute for Parkinson's and Movement Disorders, New York University Langone Health, New York, NY, USA
| | - Xiaolei Miao
- Department of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
- 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
| | - Nicolas X Tritsch
- Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, USA.
- Fresco Institute for Parkinson's and Movement Disorders, New York University Langone Health, New York, NY, USA.
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92
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Bayless DW, Davis CHO, Yang R, Wei Y, de Andrade Carvalho VM, Knoedler JR, Yang T, Livingston O, Lomvardas A, Martins GJ, Vicente AM, Ding JB, Luo L, Shah NM. A neural circuit for male sexual behavior and reward. Cell 2023; 186:3862-3881.e28. [PMID: 37572660 PMCID: PMC10615179 DOI: 10.1016/j.cell.2023.07.021] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 05/22/2023] [Accepted: 07/12/2023] [Indexed: 08/14/2023]
Abstract
Male sexual behavior is innate and rewarding. Despite its centrality to reproduction, a molecularly specified neural circuit governing innate male sexual behavior and reward remains to be characterized. We have discovered a developmentally wired neural circuit necessary and sufficient for male mating. This circuit connects chemosensory input to BNSTprTac1 neurons, which innervate POATacr1 neurons that project to centers regulating motor output and reward. Epistasis studies demonstrate that BNSTprTac1 neurons are upstream of POATacr1 neurons, and BNSTprTac1-released substance P following mate recognition potentiates activation of POATacr1 neurons through Tacr1 to initiate mating. Experimental activation of POATacr1 neurons triggers mating, even in sexually satiated males, and it is rewarding, eliciting dopamine release and self-stimulation of these cells. Together, we have uncovered a neural circuit that governs the key aspects of innate male sexual behavior: motor displays, drive, and reward.
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Affiliation(s)
- Daniel W Bayless
- Departments of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Chung-Ha O Davis
- Stanford Neurosciences Graduate Program, Stanford University, Stanford, CA 94305, USA
| | - Renzhi Yang
- Departments of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Yichao Wei
- Departments of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | | | - Joseph R Knoedler
- Departments of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Taehong Yang
- Departments of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Oscar Livingston
- Departments of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | - Akira Lomvardas
- Departments of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA
| | | | - Ana Mafalda Vicente
- Allen Institute for Neural Dynamics, Seattle, WA 98109; Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027
| | - Jun B Ding
- Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA; Departments of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Liqun Luo
- Department of Biology, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA; Department of Neurobiology, Stanford University, Stanford, CA 94305, USA
| | - Nirao M Shah
- Departments of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA; Department of Neurobiology, Stanford University, Stanford, CA 94305, USA; Department of Obstetrics and Gynecology, Stanford University, Stanford, CA 94305, USA.
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93
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Terauchi A, Yee P, Johnson-Venkatesh EM, Seiglie MP, Kim L, Pitino JC, Kritzer E, Zhang Q, Zhou J, Li Y, Ginty DD, Lee WCA, Umemori H. The projection-specific signals that establish functionally segregated dopaminergic synapses. Cell 2023; 186:3845-3861.e24. [PMID: 37591240 PMCID: PMC10540635 DOI: 10.1016/j.cell.2023.07.023] [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: 08/10/2022] [Revised: 05/28/2023] [Accepted: 07/14/2023] [Indexed: 08/19/2023]
Abstract
Dopaminergic projections regulate various brain functions and are implicated in many neuropsychiatric disorders. There are two anatomically and functionally distinct dopaminergic projections connecting the midbrain to striatum: nigrostriatal, which controls movement, and mesolimbic, which regulates motivation. However, how these discrete dopaminergic synaptic connections are established is unknown. Through an unbiased search, we identify that two groups of antagonistic TGF-β family members, bone morphogenetic protein (BMP)6/BMP2 and transforming growth factor (TGF)-β2, regulate dopaminergic synapse development of nigrostriatal and mesolimbic neurons, respectively. Projection-preferential expression of their receptors contributes to specific synapse development. Downstream, Smad1 and Smad2 are specifically activated and required for dopaminergic synapse development and function in nigrostriatal vs. mesolimbic projections. Remarkably, Smad1 mutant mice show motor defects, whereas Smad2 mutant mice show lack of motivation. These results uncover the molecular logic underlying the proper establishment of functionally segregated dopaminergic synapses and may provide strategies to treat relevant, projection-specific disease symptoms by targeting specific BMPs/TGF-β and/or Smads.
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Affiliation(s)
- Akiko Terauchi
- Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Patricia Yee
- Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Erin M Johnson-Venkatesh
- Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Mariel P Seiglie
- Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Lisa Kim
- Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Julia C Pitino
- Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Eli Kritzer
- Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Qiyu Zhang
- Department of Neurobiology and Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Jie Zhou
- Department of Computer Science, Northern Illinois University, DeKalb, IL 60115, USA
| | - Yulong Li
- State Key Laboratory of Membrane Biology, PKU-IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - David D Ginty
- Department of Neurobiology and Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Wei-Chung A Lee
- Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Hisashi Umemori
- Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
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94
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Zhuo Y, Luo B, Yi X, Dong H, Wan J, Cai R, Williams JT, Qian T, Campbell MG, Miao X, Li B, Wei Y, Li G, Wang H, Zheng Y, Watabe-Uchida M, Li Y. Improved dual-color GRAB sensors for monitoring dopaminergic activity in vivo. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.24.554559. [PMID: 37662187 PMCID: PMC10473776 DOI: 10.1101/2023.08.24.554559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Dopamine (DA) plays multiple roles in a wide range of physiological and pathological processes via a vast network of dopaminergic projections. To fully dissect the spatiotemporal dynamics of DA release in both dense and sparsely innervated brain regions, we developed a series of green and red fluorescent GPCR activation-based DA (GRABDA) sensors using a variety of DA receptor subtypes. These sensors have high sensitivity, selectivity, and signal-to-noise properties with subsecond response kinetics and the ability to detect a wide range of DA concentrations. We then used these sensors in freely moving mice to measure both optogenetically evoked and behaviorally relevant DA release while measuring neurochemical signaling in the nucleus accumbens, amygdala, and cortex. Using these sensors, we also detected spatially resolved heterogeneous cortical DA release in mice performing various behaviors. These next-generation GRABDA sensors provide a robust set of tools for imaging dopaminergic activity under a variety of physiological and pathological conditions.
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Affiliation(s)
- Yizhou Zhuo
- 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
- These authors contributed equally
| | - Bin Luo
- 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, Beijing 100871, China
- These authors contributed equally
| | - Xinyang Yi
- 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
| | - Hui Dong
- 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, Beijing 100871, China
| | - Jinxia Wan
- 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, Beijing 100871, China
| | - Ruyi Cai
- 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
| | - John T. Williams
- Vollum Institute, Oregon Health and Science University, Portland, OR 97239, USA
| | - Tongrui Qian
- 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
| | - Malcolm G. Campbell
- Center for Brain Science, Department of Molecular and Cellular Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA
| | - Xiaolei Miao
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Bozhi Li
- State Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing 100871, China
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing 100853, China
| | - Yu Wei
- 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
| | - Guochuan 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
| | - Huan Wang
- 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
| | - Yu Zheng
- 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
| | - Mitsuko Watabe-Uchida
- Center for Brain Science, Department of Molecular and Cellular Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA
| | - 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, 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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95
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Toh HSY, Choo XY, Sun AX. Midbrain organoids-development and applications in Parkinson's disease. OXFORD OPEN NEUROSCIENCE 2023; 2:kvad009. [PMID: 38596240 PMCID: PMC10913847 DOI: 10.1093/oons/kvad009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 07/31/2023] [Indexed: 04/11/2024]
Abstract
Human brain development is spatially and temporally complex. Insufficient access to human brain tissue and inadequacy of animal models has limited the study of brain development and neurodegenerative diseases. Recent advancements of brain organoid technology have created novel opportunities to model human-specific neurodevelopment and brain diseases. In this review, we discuss the use of brain organoids to model the midbrain and Parkinson's disease. We critically evaluate the extent of recapitulation of PD pathology by organoids and discuss areas of future development that may lead to the model to become a next-generation, personalized therapeutic strategy for PD and beyond.
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Affiliation(s)
- Hilary S Y Toh
- Neuroscience & Behavioural Disorders Programme, Duke-NUS Medical School, 8 College Road, Singapore
| | - Xin Yi Choo
- Neuroscience & Behavioural Disorders Programme, Duke-NUS Medical School, 8 College Road, Singapore
| | - Alfred Xuyang Sun
- Neuroscience & Behavioural Disorders Programme, Duke-NUS Medical School, 8 College Road, Singapore
- National Neuroscience Institute, 11 Jln Tan Tock Seng, Singapore
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96
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Fraigne JJ, Luppi PH, Mahoney CE, De Luca R, Shiromani PJ, Weber F, Adamantidis A, Peever J. Dopamine neurons in the ventral tegmental area modulate rapid eye movement sleep. Sleep 2023; 46:zsad024. [PMID: 36775897 DOI: 10.1093/sleep/zsad024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 01/13/2023] [Indexed: 02/14/2023] Open
Affiliation(s)
- Jimmy J Fraigne
- Department of Cell and Systems Biology, University of Toronto, Toronto, Canada
| | - Pierre H Luppi
- Centre de Recherche en Neurosciences de Lyon (CRNL), INSERM, and Université Claude Bernard Lyon 1, Lyon, France
| | - Carrie E Mahoney
- Department of Neurology, Beth Israel Deaconess Medical Center and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Roberto De Luca
- Department of Neurology, Beth Israel Deaconess Medical Center and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Priyattam J Shiromani
- Laboratory of Sleep Medicine and Chronobiology, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA
| | - Franz Weber
- Department of Neuroscience, Perelman School of Medicine, Chronobiology and Sleep Institute, University of Pennsylvania, Philadelphia, PA, USA
| | - Antoine Adamantidis
- Departments of Neurology and Biomedical Research, Centre for Experimental Neurology, Inselspital University Hospital Bern, University of Bern, Bern, Switzerland
| | - John Peever
- Department of Cell and Systems Biology, University of Toronto, Toronto, Canada
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97
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Gordon-Fennell A, Barbakh JM, Utley MT, Singh S, Bazzino P, Gowrishankar R, Bruchas MR, Roitman MF, Stuber GD. An open-source platform for head-fixed operant and consummatory behavior. eLife 2023; 12:e86183. [PMID: 37555578 PMCID: PMC10499376 DOI: 10.7554/elife.86183] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 07/15/2023] [Indexed: 08/10/2023] Open
Abstract
Head-fixed behavioral experiments in rodents permit unparalleled experimental control, precise measurement of behavior, and concurrent modulation and measurement of neural activity. Here, we present OHRBETS (Open-Source Head-fixed Rodent Behavioral Experimental Training System; pronounced 'Orbitz'), a low-cost, open-source platform of hardware and software to flexibly pursue the neural basis of a variety of motivated behaviors. Head-fixed mice tested with OHRBETS displayed operant conditioning for caloric reward that replicates core behavioral phenotypes observed during freely moving conditions. OHRBETS also permits optogenetic intracranial self-stimulation under positive or negative operant conditioning procedures and real-time place preference behavior, like that observed in freely moving assays. In a multi-spout brief-access consumption task, mice displayed licking as a function of concentration of sucrose, quinine, and sodium chloride, with licking modulated by homeostatic or circadian influences. Finally, to highlight the functionality of OHRBETS, we measured mesolimbic dopamine signals during the multi-spout brief-access task that display strong correlations with relative solution value and magnitude of consumption. All designs, programs, and instructions are provided freely online. This customizable platform enables replicable operant and consummatory behaviors and can be incorporated with methods to perturb and record neural dynamics in vivo.
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Affiliation(s)
- Adam Gordon-Fennell
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of WashingtonSeattleUnited States
| | - Joumana M Barbakh
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of WashingtonSeattleUnited States
| | - MacKenzie T Utley
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of WashingtonSeattleUnited States
| | - Shreya Singh
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of WashingtonSeattleUnited States
| | - Paula Bazzino
- Department of Psychology, University of Illinois at ChicagoChicagoUnited States
- Graduate Program in Neuroscience, University of Illinois at ChicagoChicagoUnited States
| | - Raajaram Gowrishankar
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of WashingtonSeattleUnited States
| | - Michael R Bruchas
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of WashingtonSeattleUnited States
| | - Mitchell F Roitman
- Department of Psychology, University of Illinois at ChicagoChicagoUnited States
- Graduate Program in Neuroscience, University of Illinois at ChicagoChicagoUnited States
| | - Garret D Stuber
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of WashingtonSeattleUnited States
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98
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Wait SJ, Rappleye M, Lee JD, Goy ME, Smith N, Berndt A. Machine Learning Ensemble Directed Engineering of Genetically Encoded Fluorescent Calcium Indicators. RESEARCH SQUARE 2023:rs.3.rs-3146778. [PMID: 37609342 PMCID: PMC10441480 DOI: 10.21203/rs.3.rs-3146778/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
In this study, we focused on the transformative potential of machine learning in the engineering of genetically encoded fluorescent indicators (GEFIs), protein-based sensing tools that are critical for real-time monitoring of biological activity. GEFIs are complex proteins with multiple dynamic states, rendering optimization by trial-and-error mutagenesis a challenging problem. We applied an alternative approach using machine learning to predict the outcomes of sensor mutagenesis by analyzing established libraries that link sensor sequences to functions. Using the GCaMP calcium indicator as a scaffold, we developed an ensemble of three regression models trained on experimentally derived GCaMP mutation libraries. We used the trained ensemble to perform an in silico functional screen on 1423 novel, uncharacterized GCaMP variants. As a result, we identified the novel ensemble-derived GCaMP (eGCaMP) variants, eGCaMP and eGCaMP+, that achieve both faster kinetics and larger fluorescent responses upon stimulation than previously published fast variants. Furthermore, we identified a combinatorial mutation with extraordinary dynamic range, eGCaMP2+, that outperforms the tested 6th, 7th, and 8th generation GCaMPs. These findings demonstrate the value of machine learning as a tool to facilitate the efficient pre-screening of mutants for functional characteristics. By leveraging the learning capabilities of our ensemble, we were able to accelerate the identification of promising mutations and reduce the experimental burden associated with trial-and-error mutagenesis. Overall, these findings have significant implications for optimizing GEFIs and other protein-based tools, demonstrating the utility of machine learning as a powerful asset in protein engineering.
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Affiliation(s)
- Sarah J. Wait
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA
- Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA
| | - Michael Rappleye
- Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA
- Department of Bioengineering, University of Washington, Seattle, WA
| | - Justin Daho Lee
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA
- Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA
| | - Marc Exposit Goy
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA
| | - Netta Smith
- Department of Bioengineering, University of Washington, Seattle, WA
| | - Andre Berndt
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA
- Institute of Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA
- Department of Bioengineering, University of Washington, Seattle, WA
- Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA
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99
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Tamás SX, Roux BT, Vámosi B, Dehne FG, Török A, Fazekas L, Enyedi B. A genetically encoded sensor for visualizing leukotriene B4 gradients in vivo. Nat Commun 2023; 14:4610. [PMID: 37528073 PMCID: PMC10393954 DOI: 10.1038/s41467-023-40326-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 07/22/2023] [Indexed: 08/03/2023] Open
Abstract
Leukotriene B4 (LTB4) is a potent lipid chemoattractant driving inflammatory responses during host defense, allergy, autoimmune and metabolic diseases. Gradients of LTB4 orchestrate leukocyte recruitment and swarming to sites of tissue damage and infection. How LTB4 gradients form and spread in live tissues to regulate these processes remains largely elusive due to the lack of suitable tools for monitoring LTB4 levels in vivo. Here, we develop GEM-LTB4, a genetically encoded green fluorescent LTB4 biosensor based on the human G-protein-coupled receptor BLT1. GEM-LTB4 shows high sensitivity, specificity and a robust fluorescence increase in response to LTB4 without affecting downstream signaling pathways. We use GEM-LTB4 to measure ex vivo LTB4 production of murine neutrophils. Transgenic expression of GEM-LTB4 in zebrafish allows the real-time visualization of both exogenously applied and endogenously produced LTB4 gradients. GEM-LTB4 thus serves as a broadly applicable tool for analyzing LTB4 dynamics in various experimental systems and model organisms.
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Affiliation(s)
- Szimonetta Xénia Tamás
- Department of Physiology, Semmelweis University, Faculty of Medicine, Tűzoltó utca 37-47, H-1094, Budapest, Hungary
- MTA-SE Lendület Tissue Damage Research Group, Hungarian Academy of Sciences and Semmelweis University, H-1094, Budapest, Hungary
- HCEMM-SE Inflammatory Signaling Research Group, Department of Physiology, Semmelweis University, H-1094, Budapest, Hungary
| | - Benoit Thomas Roux
- Department of Physiology, Semmelweis University, Faculty of Medicine, Tűzoltó utca 37-47, H-1094, Budapest, Hungary
- HCEMM-SE Inflammatory Signaling Research Group, Department of Physiology, Semmelweis University, H-1094, Budapest, Hungary
| | - Boldizsár Vámosi
- Department of Physiology, Semmelweis University, Faculty of Medicine, Tűzoltó utca 37-47, H-1094, Budapest, Hungary
| | - Fabian Gregor Dehne
- Department of Physiology, Semmelweis University, Faculty of Medicine, Tűzoltó utca 37-47, H-1094, Budapest, Hungary
- HCEMM-SE Inflammatory Signaling Research Group, Department of Physiology, Semmelweis University, H-1094, Budapest, Hungary
| | - Anna Török
- Department of Physiology, Semmelweis University, Faculty of Medicine, Tűzoltó utca 37-47, H-1094, Budapest, Hungary
- HCEMM-SE Inflammatory Signaling Research Group, Department of Physiology, Semmelweis University, H-1094, Budapest, Hungary
| | - László Fazekas
- Department of Physiology, Semmelweis University, Faculty of Medicine, Tűzoltó utca 37-47, H-1094, Budapest, Hungary
- MTA-SE Lendület Tissue Damage Research Group, Hungarian Academy of Sciences and Semmelweis University, H-1094, Budapest, Hungary
- HCEMM-SE Inflammatory Signaling Research Group, Department of Physiology, Semmelweis University, H-1094, Budapest, Hungary
| | - Balázs Enyedi
- Department of Physiology, Semmelweis University, Faculty of Medicine, Tűzoltó utca 37-47, H-1094, Budapest, Hungary.
- MTA-SE Lendület Tissue Damage Research Group, Hungarian Academy of Sciences and Semmelweis University, H-1094, Budapest, Hungary.
- HCEMM-SE Inflammatory Signaling Research Group, Department of Physiology, Semmelweis University, H-1094, Budapest, Hungary.
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100
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Støier JF, Konomi-Pilkati A, Apuschkin M, Herborg F, Gether U. Amphetamine-induced reverse transport of dopamine does not require cytosolic Ca 2. J Biol Chem 2023; 299:105063. [PMID: 37468107 PMCID: PMC10448275 DOI: 10.1016/j.jbc.2023.105063] [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: 04/25/2022] [Revised: 07/13/2023] [Accepted: 07/14/2023] [Indexed: 07/21/2023] Open
Abstract
Amphetamines (AMPHs) are substrates of the dopamine transporter (DAT) and reverse the direction of dopamine (DA) transport. This has been suggested to depend on activation of Ca2+-dependent pathways, but the mechanism underlying reverse transport via endogenously expressed DAT is still unclear. Here, to enable concurrent visualization by live imaging of extracellular DA dynamics and cytosolic Ca2+ levels, we employ the fluorescent Ca2+ sensor jRGECO1a expressed in cultured dopaminergic neurons together with the fluorescent DA sensor GRABDA1H expressed in cocultured "sniffer" cells. In the presence of the Na+-channel blocker tetrodotoxin to prevent exocytotic DA release, AMPH induced in the cultured neurons a profound dose-dependent efflux of DA that was blocked both by inhibition of DAT with cocaine and by inhibition of the vesicular monoamine transporter-2 with Ro-4-1284 or reserpine. However, the AMPH-induced DA efflux was not accompanied by an increase in cytosolic Ca2+ and was unaffected by blockade of voltage-gated calcium channels or chelation of cytosolic Ca2+. The independence of cytosolic Ca2+ was further supported by activation of N-methyl-D-aspartate-type ionotropic glutamate receptors leading to a marked increase in cytosolic Ca2+ without affecting AMPH-induced DA efflux. Curiously, AMPH elicited spontaneous Ca2+ spikes upon blockade of the D2 receptor, suggesting that AMPH can regulate intracellular Ca2+ in an autoreceptor-dependent manner regardless of the apparent independence of Ca2+ for AMPH-induced efflux. We conclude that AMPH-induced DA efflux in dopaminergic neurons does not require cytosolic Ca2+ but is strictly dependent on the concerted action of AMPH on both vesicular monoamine transporter-2 and DAT.
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Affiliation(s)
- Jonatan Fullerton Støier
- Molecular Neuropharmacology and Genetics Laboratory, Department of Neuroscience, Faculty of Health and Medical Sciences, Panum Institute - Maersk Tower 7.5, University of Copenhagen, Copenhagen, Denmark
| | - Ainoa Konomi-Pilkati
- Molecular Neuropharmacology and Genetics Laboratory, Department of Neuroscience, Faculty of Health and Medical Sciences, Panum Institute - Maersk Tower 7.5, University of Copenhagen, Copenhagen, Denmark
| | - Mia Apuschkin
- Molecular Neuropharmacology and Genetics Laboratory, Department of Neuroscience, Faculty of Health and Medical Sciences, Panum Institute - Maersk Tower 7.5, University of Copenhagen, Copenhagen, Denmark
| | - Freja Herborg
- Molecular Neuropharmacology and Genetics Laboratory, Department of Neuroscience, Faculty of Health and Medical Sciences, Panum Institute - Maersk Tower 7.5, University of Copenhagen, Copenhagen, Denmark
| | - Ulrik Gether
- Molecular Neuropharmacology and Genetics Laboratory, Department of Neuroscience, Faculty of Health and Medical Sciences, Panum Institute - Maersk Tower 7.5, University of Copenhagen, Copenhagen, Denmark.
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