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Carmona LM, Thomas ED, Smith K, Tasic B, Costa RM, Nelson A. Topographical and cell type-specific connectivity of rostral and caudal forelimb corticospinal neuron populations. Cell Rep 2024; 43:113993. [PMID: 38551963 PMCID: PMC11100358 DOI: 10.1016/j.celrep.2024.113993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/07/2024] [Accepted: 03/07/2024] [Indexed: 04/09/2024] Open
Abstract
Corticospinal neurons (CSNs) synapse directly on spinal neurons, a diverse assortment of cells with unique structural and functional properties necessary for body movements. CSNs modulating forelimb behavior fractionate into caudal forelimb area (CFA) and rostral forelimb area (RFA) motor cortical populations. Despite their prominence, the full diversity of spinal neurons targeted by CFA and RFA CSNs is uncharted. Here, we use anatomical and RNA sequencing methods to show that CSNs synapse onto a remarkably selective group of spinal cell types, favoring inhibitory populations that regulate motoneuron activity and gate sensory feedback. CFA and RFA CSNs target similar spinal neuron types, with notable exceptions that suggest that these populations differ in how they influence behavior. Finally, axon collaterals of CFA and RFA CSNs target similar brain regions yet receive highly divergent inputs. These results detail the rules of CSN connectivity throughout the brain and spinal cord for two regions critical for forelimb behavior.
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Affiliation(s)
- Lina Marcela Carmona
- Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
| | - Eric D Thomas
- Allen Institute for Brain Science, Allen Institute, Seattle, WA, USA
| | - Kimberly Smith
- Allen Institute for Brain Science, Allen Institute, Seattle, WA, USA
| | - Bosiljka Tasic
- Allen Institute for Brain Science, Allen Institute, Seattle, WA, USA
| | - Rui M Costa
- Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA; Allen Institute for Brain Science, Allen Institute, Seattle, WA, USA
| | - Anders Nelson
- Center for Neural Science, New York University, New York, NY 10003, USA.
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Engel EA, Card JP, Enquist LW. Transneuronal Circuit Analysis with Pseudorabies Viruses. Curr Protoc 2023; 3:e841. [PMID: 37486157 PMCID: PMC10664030 DOI: 10.1002/cpz1.841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Our ability to understand the function of the nervous system is dependent upon defining the connections of its constituent neurons. Development of methods to define connections within neural networks has always been a growth industry in the neurosciences. Transneuronal spread of neurotropic viruses currently represents the best means of defining synaptic connections within neural networks. The method exploits the ability of viruses to invade neurons, replicate, and spread through the intimate synaptic connections that enable communication among neurons. Since the method was first introduced in the 1970s, it has benefited from an increased understanding of the virus life cycle, the function of viral genomes, and the ability to manipulate the viral genome in support of directional spread of virus and the expression of transgenes. In this article, we review these advances in viral tracing technology and the ways in which they may be applied for functional dissection of neural networks. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Retrograde infection of CNS circuits by peripheral injection of virus Basic Protocol 2: Transneuronal analysis by intracerebral injection Alternate Protocol 1: Transneuronal analysis with multiple recombinant strains Alternate Protocol 2: Conditional replication and spread of PRV Alternate Protocol 3: Conditional reporters of PRV infection and spread Alternate Protocol 4: Reporters of neural activity in polysynaptic circuits Support Protocol 1: Growing and titering a PRV viral stock Support Protocol 2: Immunohistochemical processing and detection Support Protocol 3: Dual-immunofluorescence localization.
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Affiliation(s)
- Esteban A Engel
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey
- Current address: Spark Therapeutics, Philadelphia, PA, 19104
| | - J Patrick Card
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Lynn W Enquist
- Department of Molecular Biology, Princeton University, Princeton, New Jersey
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Huang TH, Niesman P, Arasu D, Lee D, De La Cruz AL, Callejas A, Hong EJ, Lois C. Tracing neuronal circuits in transgenic animals by transneuronal control of transcription ( TRACT). eLife 2017; 6:32027. [PMID: 29231171 PMCID: PMC5777821 DOI: 10.7554/elife.32027] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 12/02/2017] [Indexed: 12/20/2022] Open
Abstract
Understanding the computations that take place in brain circuits requires identifying how neurons in those circuits are connected to one another. We describe a technique called TRACT (TRAnsneuronal Control of Transcription) based on ligand-induced intramembrane proteolysis to reveal monosynaptic connections arising from genetically labeled neurons of interest. In this strategy, neurons expressing an artificial ligand (‘donor’ neurons) bind to and activate a genetically-engineered artificial receptor on their synaptic partners (‘receiver’ neurons). Upon ligand-receptor binding at synapses the receptor is cleaved in its transmembrane domain and releases a protein fragment that activates transcription in the synaptic partners. Using TRACT in Drosophila we have confirmed the connectivity between olfactory receptor neurons and their postsynaptic targets, and have discovered potential new connections between neurons in the circadian circuit. Our results demonstrate that the TRACT method can be used to investigate the connectivity of neuronal circuits in the brain. One of the main obstacles to understanding how the brain works is that we know relatively little about how its nerve cells or neurons are connected to one another. These connections make up the brain’s wiring diagram. Current methods for revealing this wiring all have limitations. The most popular method – serial electron microscopy – can reveal the connections in a small region of the brain in great detail, but it cannot show connections between neurons that are far apart. Huang et al. have now created a genetic system for visualizing these connections. For neurons to communicate, one neuron must produce a signal called a ligand. This ligand can then bind to and activate its partner neuron. Huang et al. modified the DNA of neurons so that every time those cells produced a specific ligand, they also produced a red fluorescent protein. Similar modifications ensured that every time the ligand activated a partner neuron, the activated neuron produced a green fluorescent protein. Viewing the red and green neurons under a microscope enabled Huang et al. to see which cells were communicating with which others. While these experiments took place in fruit flies, the same approach should also work in other laboratory animals, including fish, mice and rats. Once we know the wiring diagram of the brain, the next step is to investigate the role of the various connections. To understand how a computer works, for example, we might change the connections between its circuit components and look at how this affects the computer’s output. With this new method, we can change how neurons communicate with one another in the brain, and then look at the effects on behavior. This should provide insights into the workings of the human brain, and clues to what goes wrong in disorders like schizophrenia and autism.
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Affiliation(s)
- Ting-Hao Huang
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States
| | - Peter Niesman
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States
| | - Deepshika Arasu
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States
| | - Donghyung Lee
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States
| | - Aubrie L De La Cruz
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States
| | - Antuca Callejas
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States.,Department of Cell Biology, School of Science, University of Extremadura, Badajoz, Spain
| | - Elizabeth J Hong
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States
| | - Carlos Lois
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States
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Lawlor M, Danesh-Meyer H, Levin LA, Davagnanam I, De Vita E, Plant GT. Glaucoma and the brain: Trans-synaptic degeneration, structural change, and implications for neuroprotection. Surv Ophthalmol 2017; 63:296-306. [PMID: 28986311 DOI: 10.1016/j.survophthal.2017.09.010] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 09/11/2017] [Accepted: 09/22/2017] [Indexed: 01/20/2023]
Abstract
A recent hypothesis to enter the literature suggests that glaucoma is a neurodegenerative disease. The basis for this has been the finding of central nervous system changes in glaucoma patients on histology and neuroimaging. It is known that retinal ganglion cell pathology of any cause leads to anterograde and retrograde retinal ganglion cell degeneration, as well as trans-synaptic (transneuronal) anterograde degeneration. Trans-synaptic degeneration has been demonstrated in a range of optic neuropathies including optic nerve transection, optic neuritis, and hereditary optic neuropathies. More recently, similar changes have been confirmed in glaucoma patients using the neuroimaging techniques of voxel-based morphometry and diffusion tensor imaging. Some studies have reported brain changes in glaucoma outside the retino-geniculo-cortical pathway; however, these are preliminary and exploratory in nature. Further research is required to identify whether the degenerative brain changes in glaucoma are entirely secondary to the optic neuropathy or whether there is additional primary central nervous system pathology. This has critical implications for neuroprotective and regenerative treatment strategies and our basic understanding of glaucoma.
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Affiliation(s)
- Mitchell Lawlor
- Save Sight Institute, Discipline of Clinical Ophthalmology and Eye Health, University of Sydney, Sydney, New South Wales, Australia; Department of Neuro-Ophthalmology, Moorfields Eye Hospital, London, United Kingdom.
| | - Helen Danesh-Meyer
- Department of Ophthalmology, University of Auckland, Auckland, New Zealand; University of Melbourne, Parkville, Victoria, Australia
| | - Leonard A Levin
- Departments of Ophthalmology and Neurology & Neurosurgery, McGill University, Montreal, Quebec, Canada; Department of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin, USA
| | - Indran Davagnanam
- Department of Neuro-Ophthalmology, Moorfields Eye Hospital, London, United Kingdom; Academic Neuroradiological Unit, Department of Brain Repair & Rehabilitation, UCL Institute of Neurology, London, United Kingdom; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCL Hospitals Foundation Trust, London, United Kingdom
| | - Enrico De Vita
- Academic Neuroradiological Unit, Department of Brain Repair & Rehabilitation, UCL Institute of Neurology, London, United Kingdom; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCL Hospitals Foundation Trust, London, United Kingdom; Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - Gordon T Plant
- Department of Neuro-Ophthalmology, Moorfields Eye Hospital, London, United Kingdom; Department of Neuro-Ophthalmology, National Hospital for Neurology and Neurosurgery, London, United Kingdom; The Medical Eye Unit, St Thomas' Hospital, London, United Kingdom
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Abstract
Our ability to understand the function of the nervous system is dependent upon defining the connections of its constituent neurons. Development of methods to define connections within neural networks has always been a growth industry in the neurosciences. Transneuronal spread of neurotropic viruses currently represents the best means of defining synaptic connections within neural networks. The method exploits the ability of viruses to invade neurons, replicate, and spread through the intimate synaptic connections that enable communication among neurons. Since the method was first introduced in the 1970s, it has benefited from an increased understanding of the virus life cycle, the function of viral genome, and the ability to manipulate the viral genome in support of directional spread of virus and the expression of transgenes. In this unit, we review these advances in viral tracing technology and the way in which they may be applied for functional dissection of neural networks.
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Affiliation(s)
- J Patrick Card
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, Pennsylvania
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RUTHAZER E, BAKER G, STRYKER M. Development and organization of ocular dominance bands in primary visual cortex of the sable ferret. J Comp Neurol 1999; 407:151-65. [PMID: 10213088 PMCID: PMC2453001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
Thalamocortical afferents in the visual cortex of the adult sable ferret are segregated into eye-specific ocular dominance bands. The development of ocular dominance bands was studied by transneuronal labeling of the visual cortices of ferret kits between the ages of postnatal day 28 (P28) and P81 after intravitreous injections of either tritiated proline or wheat germ agglutinin-horseradish peroxidase. Laminar specificity was evident in the youngest animals studied and was similar to that in the adult by P50. In P28 and P30 ferret kits, no modulation reminiscent of ocular dominance bands was detectable in the pattern of labeling along layer IV. By P37 a slight fluctuation in the density of labeling in layer IV was evident in serial reconstructions. By P50, the amplitude of modulation had increased considerably but the pattern of ocular dominance bands did not yet appear mature. The pattern and degree of modulation of the ocular dominance bands resembled that in adult animals by P63. Flat mounts of cortex and serial reconstructions of layer IV revealed an unusual arrangement of inputs serving the two eyes in the region rostral to the periodic ocular dominance bands. In this region, inputs serving the contralateral eye were commonly fused along a mediolateral axis, rostral to which were large and sometimes fused patches of ipsilateral input.
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Affiliation(s)
| | | | - M.P. STRYKER
- Correspondence to: Prof. Michael P. Stryker, Department of Physiology, University of California, San Francisco, CA 94143−0444. E-mail:
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