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Webster AN, Becker JJ, Li C, Schwalbe DC, Kerspern D, Karolczak EO, Godschall EN, Belmont-Rausch DM, Pers TH, Lutas A, Habib N, Güler AD, Krashes MJ, Campbell JN. Molecular Connectomics Reveals a Glucagon-Like Peptide 1 Sensitive Neural Circuit for Satiety. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.31.564990. [PMID: 37961449 PMCID: PMC10635031 DOI: 10.1101/2023.10.31.564990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Liraglutide and other agonists of the glucagon-like peptide 1 receptor (GLP-1RAs) are effective weight loss drugs, but how they suppress appetite remains unclear. One potential mechanism is by activating neurons which inhibit hunger-promoting Agouti-related peptide (AgRP) neurons of the arcuate hypothalamus (Arc). To identify these afferents, we developed a method combining rabies-based connectomics with single-nuclei transcriptomics. Applying this method to AgRP neurons predicted at least 21 afferent subtypes in the mouse mediobasal and paraventricular hypothalamus. Among these are Trh+ Arc neurons, inhibitory neurons which express the Glp1r gene and are activated by the GLP-1RA liraglutide. Activating Trh+ Arc neurons inhibits AgRP neurons and feeding in an AgRP neuron-dependent manner. Silencing Trh+ Arc neurons causes over-eating and weight gain and attenuates liraglutide's effect on body weight. Our results demonstrate a widely applicable method for molecular connectomics, comprehensively identify local inputs to AgRP neurons, and reveal a circuit through which GLP-1RAs suppress appetite.
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Affiliation(s)
- Addison N. Webster
- Neuroscience Graduate Program, University of Virginia, Charlottesville, VA, U.S.A
| | - Jordan J. Becker
- Section on Motivational Processes Underlying Appetite, Diabetes, Endocrinology, & Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, U.S.A
| | - Chia Li
- Section on Motivational Processes Underlying Appetite, Diabetes, Endocrinology, & Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, U.S.A
| | - Dana C. Schwalbe
- Department of Biology, University of Virginia, Charlottesville, VA, U.S.A
| | - Damien Kerspern
- Section on Motivational Processes Underlying Appetite, Diabetes, Endocrinology, & Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, U.S.A
| | - Eva O. Karolczak
- Section on Motivational Processes Underlying Appetite, Diabetes, Endocrinology, & Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, U.S.A
| | | | | | - Tune H. Pers
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Andrew Lutas
- Section on Motivational Processes Underlying Appetite, Diabetes, Endocrinology, & Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, U.S.A
| | - Naomi Habib
- Center for Brain Sciences, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ali D. Güler
- Department of Biology, University of Virginia, Charlottesville, VA, U.S.A
| | - Michael J. Krashes
- Section on Motivational Processes Underlying Appetite, Diabetes, Endocrinology, & Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, U.S.A
| | - John N. Campbell
- Neuroscience Graduate Program, University of Virginia, Charlottesville, VA, U.S.A
- Department of Biology, University of Virginia, Charlottesville, VA, U.S.A
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2
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González-Rueda A, Jensen K, Noormandipour M, de Malmazet D, Wilson J, Ciabatti E, Kim J, Williams E, Poort J, Hennequin G, Tripodi M. Kinetic features dictate sensorimotor alignment in the superior colliculus. Nature 2024; 631:378-385. [PMID: 38961292 PMCID: PMC11236723 DOI: 10.1038/s41586-024-07619-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 05/28/2024] [Indexed: 07/05/2024]
Abstract
The execution of goal-oriented behaviours requires a spatially coherent alignment between sensory and motor maps. The current model for sensorimotor transformation in the superior colliculus relies on the topographic mapping of static spatial receptive fields onto movement endpoints1-6. Here, to experimentally assess the validity of this canonical static model of alignment, we dissected the visuo-motor network in the superior colliculus and performed in vivo intracellular and extracellular recordings across layers, in restrained and unrestrained conditions, to assess both the motor and the visual tuning of individual motor and premotor neurons. We found that collicular motor units have poorly defined visual static spatial receptive fields and respond instead to kinetic visual features, revealing the existence of a direct alignment in vectorial space between sensory and movement vectors, rather than between spatial receptive fields and movement endpoints as canonically hypothesized. We show that a neural network built according to these kinetic alignment principles is ideally placed to sustain ethological behaviours such as the rapid interception of moving and static targets. These findings reveal a novel dimension of the sensorimotor alignment process. By extending the alignment from the static to the kinetic domain this work provides a novel conceptual framework for understanding the nature of sensorimotor convergence and its relevance in guiding goal-directed behaviours.
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Affiliation(s)
- Ana González-Rueda
- MRC Laboratory of Molecular Biology, Cambridge, UK.
- St Edmund's College, University of Cambridge, Cambridge, UK.
| | | | | | | | | | | | - Jisoo Kim
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | | | - Jasper Poort
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Guillaume Hennequin
- MRC Laboratory of Molecular Biology, Cambridge, UK
- Department of Engineering, University of Cambridge, Cambridge, UK
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3
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Jin L, Sullivan HA, Zhu M, Lavin TK, Matsuyama M, Fu X, Lea NE, Xu R, Hou Y, Rutigliani L, Pruner M, Babcock KR, Ip JPK, Hu M, Daigle TL, Zeng H, Sur M, Feng G, Wickersham IR. Long-term labeling and imaging of synaptically connected neuronal networks in vivo using double-deletion-mutant rabies viruses. Nat Neurosci 2024; 27:373-383. [PMID: 38212587 PMCID: PMC10849964 DOI: 10.1038/s41593-023-01545-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 12/05/2023] [Indexed: 01/13/2024]
Abstract
Rabies-virus-based monosynaptic tracing is a widely used technique for mapping neural circuitry, but its cytotoxicity has confined it primarily to anatomical applications. Here we present a second-generation system for labeling direct inputs to targeted neuronal populations with minimal toxicity, using double-deletion-mutant rabies viruses. Viral spread requires expression of both deleted viral genes in trans in postsynaptic source cells. Suppressing this expression with doxycycline following an initial period of viral replication reduces toxicity to postsynaptic cells. Longitudinal two-photon imaging in vivo indicated that over 90% of both presynaptic and source cells survived for the full 12-week course of imaging. Ex vivo whole-cell recordings at 5 weeks postinfection showed that the second-generation system perturbs input and source cells much less than the first-generation system. Finally, two-photon calcium imaging of labeled networks of visual cortex neurons showed that their visual response properties appeared normal for 10 weeks, the longest we followed them.
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Affiliation(s)
- Lei Jin
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Lingang Laboratory, Shanghai, China
| | - Heather A Sullivan
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Mulangma Zhu
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Thomas K Lavin
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Makoto Matsuyama
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Xin Fu
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Nicholas E Lea
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ran Xu
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - YuanYuan Hou
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Luca Rutigliani
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Maxwell Pruner
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Kelsey R Babcock
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jacque Pak Kan Ip
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Ming Hu
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | | | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Mriganka Sur
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Guoping Feng
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ian R Wickersham
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
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4
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Schwarz LA. Third-generation rabies viral vectors have low toxicity and improved efficiency as retrograde labeling tools. CELL REPORTS METHODS 2023; 3:100646. [PMID: 37989082 PMCID: PMC10694576 DOI: 10.1016/j.crmeth.2023.100646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 10/26/2023] [Accepted: 10/26/2023] [Indexed: 11/23/2023]
Abstract
In this issue of Cell Reports Methods, Jin et al. report the generation and validation of a rabies variant, RVΔL, for projection-based neuronal labeling. RVΔL shows little toxicity in vivo and has an improved growth advantage over another variant, RVΔGL, making it a useful tool for a wide variety of systems neuroscience-based studies.
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Affiliation(s)
- Lindsay A Schwarz
- Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
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5
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Ciabatti E, González-Rueda A, de Malmazet D, Lee H, Morgese F, Tripodi M. Genomic stability of self-inactivating rabies. eLife 2023; 12:e83459. [PMID: 37921437 PMCID: PMC10666929 DOI: 10.7554/elife.83459] [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: 09/14/2022] [Accepted: 11/02/2023] [Indexed: 11/04/2023] Open
Abstract
Transsynaptic viral vectors provide means to gain genetic access to neurons based on synaptic connectivity and are essential tools for the dissection of neural circuit function. Among them, the retrograde monosynaptic ΔG-Rabies has been widely used in neuroscience research. A recently developed engineered version of the ΔG-Rabies, the non-toxic self-inactivating (SiR) virus, allows the long term genetic manipulation of neural circuits. However, the high mutational rate of the rabies virus poses a risk that mutations targeting the key genetic regulatory element in the SiR genome could emerge and revert it to a canonical ΔG-Rabies. Such revertant mutations have recently been identified in a SiR batch. To address the origin, incidence and relevance of these mutations, we investigated the genomic stability of SiR in vitro and in vivo. We found that "revertant" mutations are rare and accumulate only when SiR is extensively amplified in vitro, particularly in suboptimal production cell lines that have insufficient levels of TEV protease activity. Moreover, we confirmed that SiR-CRE, unlike canonical ΔG-Rab-CRE or revertant-SiR-CRE, is non-toxic and that revertant mutations do not emerge in vivo during long-term experiments.
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Affiliation(s)
| | | | | | - Hassal Lee
- MRC Laboratory of Molecular BiologyCambridgeUnited Kingdom
| | - Fabio Morgese
- MRC Laboratory of Molecular BiologyCambridgeUnited Kingdom
| | - Marco Tripodi
- MRC Laboratory of Molecular BiologyCambridgeUnited Kingdom
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6
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Roome RB, Levine AJ. The organization of spinal neurons: Insights from single cell sequencing. Curr Opin Neurobiol 2023; 82:102762. [PMID: 37657185 PMCID: PMC10727478 DOI: 10.1016/j.conb.2023.102762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 06/16/2023] [Accepted: 07/22/2023] [Indexed: 09/03/2023]
Abstract
To understand how the spinal cord enacts complex sensorimotor functions, researchers have studied, classified, and functionally probed it's many neuronal populations for over a century. Recent developments in single-cell RNA-sequencing can characterize the gene expression signatures of the entire set of spinal neuron types and can simultaneously provide an unbiased view of their relationships to each other. This approach has revealed that the location of neurons predicts transcriptomic variability, as dorsal spinal neurons become highly distinct over development as ventral spinal neurons become less so. Temporal specification is also a major source of gene expression variation, subdividing many of the canonical embryonic lineage domains. Together, birthdate and cell body location are fundamental organizing features of spinal neuron diversity.
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Affiliation(s)
- R Brian Roome
- Spinal Circuits and Plasticity Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health; Bethesda, MD, USA. https://twitter.com/BrianRoome
| | - Ariel J Levine
- Spinal Circuits and Plasticity Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health; Bethesda, MD, USA.
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7
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de Malmazet D, Tripodi M. Collicular circuits supporting the perceptual, motor and cognitive demands of ethological environments. Curr Opin Neurobiol 2023; 82:102773. [PMID: 37619424 PMCID: PMC10765087 DOI: 10.1016/j.conb.2023.102773] [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: 06/21/2023] [Revised: 07/27/2023] [Accepted: 07/29/2023] [Indexed: 08/26/2023]
Abstract
Animals evolve to survive in their environment. Accordingly, a reasonable hypothesis is that brain evolution prioritises the processing of useful sensory information over complete representation of the surroundings. The superior colliculus or tectum is a brain area that processes the animal's surroundings and directs movements in space. Here, we review recent studies on the role of the superior colliculus to assess the validity of this "utility hypothesis". We discuss how the response properties of collicular neurons vary across anatomical regions to capture ethologically relevant stimuli at a given portion of the sensory field. Next, we focus on the recent advances dissecting the role of defined types of sensory and motor neurons of the colliculus in prey capture. Finally, we discuss the recent literature describing how this ancient structure, with neural circuits over 500 million years old, implements the necessary degree of cognitive control for flexible sensorimotor transformation.
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Affiliation(s)
| | - Marco Tripodi
- MRC Laboratory of Molecular Biology, Cambridge, UK. https://twitter.com/martripodi
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8
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Yao S, Levi BP. Linking connectome with transcriptome using a self-inactivating rabies virus. Nat Methods 2023; 20:493-494. [PMID: 36864201 DOI: 10.1038/s41592-023-01803-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Affiliation(s)
- Shenqin Yao
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Boaz P Levi
- Allen Institute for Brain Science, Seattle, WA, USA.
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