1
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Toma K, Zhao M, Zhang S, Wang F, Graham HK, Zou J, Modgil S, Shang WH, Tsai NY, Cai Z, Liu L, Hong G, Kriegstein AR, Hu Y, Körbelin J, Zhang R, Liao YJ, Kim TN, Ye X, Duan X. Perivascular neurons instruct 3D vascular lattice formation via neurovascular contact. Cell 2024; 187:2767-2784.e23. [PMID: 38733989 PMCID: PMC11223890 DOI: 10.1016/j.cell.2024.04.010] [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: 12/06/2022] [Revised: 02/15/2024] [Accepted: 04/11/2024] [Indexed: 05/13/2024]
Abstract
The vasculature of the central nervous system is a 3D lattice composed of laminar vascular beds interconnected by penetrating vessels. The mechanisms controlling 3D lattice network formation remain largely unknown. Combining viral labeling, genetic marking, and single-cell profiling in the mouse retina, we discovered a perivascular neuronal subset, annotated as Fam19a4/Nts-positive retinal ganglion cells (Fam19a4/Nts-RGCs), directly contacting the vasculature with perisomatic endfeet. Developmental ablation of Fam19a4/Nts-RGCs led to disoriented growth of penetrating vessels near the ganglion cell layer (GCL), leading to a disorganized 3D vascular lattice. We identified enriched PIEZO2 expression in Fam19a4/Nts-RGCs. Piezo2 loss from all retinal neurons or Fam19a4/Nts-RGCs abolished the direct neurovascular contacts and phenocopied the Fam19a4/Nts-RGC ablation deficits. The defective vascular structure led to reduced capillary perfusion and sensitized the retina to ischemic insults. Furthermore, we uncovered a Piezo2-dependent perivascular granule cell subset for cerebellar vascular patterning, indicating neuronal Piezo2-dependent 3D vascular patterning in the brain.
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Affiliation(s)
- Kenichi Toma
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Mengya Zhao
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Shaobo Zhang
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Fei Wang
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Hannah K Graham
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Jun Zou
- Department of Discovery Oncology, Genentech Inc., South San Francisco, CA, USA
| | - Shweta Modgil
- Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Wenhao H Shang
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Nicole Y Tsai
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Zhishun Cai
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China
| | - Liping Liu
- Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Guiying Hong
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Arnold R Kriegstein
- Department of Neurology and The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, CA, USA
| | - Yang Hu
- Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Jakob Körbelin
- ENDomics Lab, Department of Oncology, Hematology and Bone Marrow Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ruobing Zhang
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China
| | - Yaping Joyce Liao
- Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Tyson N Kim
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Xin Ye
- Department of Discovery Oncology, Genentech Inc., South San Francisco, CA, USA.
| | - Xin Duan
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA; Department of Physiology and Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, USA.
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2
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Tworig JM, Morrie RD, Bistrong K, Somaiya RD, Hsu S, Liang J, Cornejo KG, Feller MB. Differential Expression Analysis Identifies Candidate Synaptogenic Molecules for Wiring Direction-Selective Circuits in the Retina. J Neurosci 2024; 44:e1461232024. [PMID: 38514178 PMCID: PMC11063823 DOI: 10.1523/jneurosci.1461-23.2024] [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: 08/01/2023] [Revised: 02/16/2024] [Accepted: 02/22/2024] [Indexed: 03/23/2024] Open
Abstract
An organizational feature of neural circuits is the specificity of synaptic connections. A striking example is the direction-selective (DS) circuit of the retina. There are multiple subtypes of DS retinal ganglion cells (DSGCs) that prefer motion along one of four preferred directions. This computation is mediated by selective wiring of a single inhibitory interneuron, the starburst amacrine cell (SAC), with each DSGC subtype preferentially receiving input from a subset of SAC processes. We hypothesize that the molecular basis of this wiring is mediated in part by unique expression profiles of DSGC subtypes. To test this, we first performed paired recordings from isolated mouse retinas of both sexes to determine that postnatal day 10 (P10) represents the age at which asymmetric synapses form. Second, we performed RNA sequencing and differential expression analysis on isolated P10 ON-OFF DSGCs tuned for either nasal or ventral motion and identified candidates which may promote direction-specific wiring. We then used a conditional knock-out strategy to test the role of one candidate, the secreted synaptic organizer cerebellin-4 (Cbln4), in the development of DS tuning. Using two-photon calcium imaging, we observed a small deficit in directional tuning among ventral-preferring DSGCs lacking Cbln4, though whole-cell voltage-clamp recordings did not identify a significant change in inhibitory inputs. This suggests that Cbln4 does not function primarily via a cell-autonomous mechanism to instruct wiring of DS circuits. Nevertheless, our transcriptomic analysis identified unique candidate factors for gaining insights into the molecular mechanisms that instruct wiring specificity in the DS circuit.
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Affiliation(s)
- Joshua M Tworig
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720
| | - Ryan D Morrie
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720
| | - Karina Bistrong
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
| | - Rachana D Somaiya
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720
| | - Shaw Hsu
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720
| | - Jocelyn Liang
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720
| | - Karen G Cornejo
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720
| | - Marla B Feller
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California 94720
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3
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Kerstein PC, Agreda YS, Curran BM, Ma L, Wright KM. Gbx2 controls amacrine cell dendrite stratification through Robo1/2 receptors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.03.551861. [PMID: 37577554 PMCID: PMC10418232 DOI: 10.1101/2023.08.03.551861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Within the neuronal classes of the retina, amacrine cells (ACs) exhibit the greatest neuronal diversity in morphology and function. We show that the selective expression of the transcription factor Gbx2 is required for cell fate specification and dendritic stratification of an individual AC subtype in the mouse retina. We identify Robo1 and Robo2 as downstream effectors that when deleted, phenocopy the dendritic misprojections seen in Gbx2 mutants. Slit1 and Slit2, the ligands of Robo receptors, are localized to the OFF layers of the inner plexiform layer where we observe the dendritic misprojections in both Gbx2 and Robo1/2 mutants. We show that Robo receptors also are required for the proper dendritic stratification of additional AC subtypes, such as Vglut3+ ACs. These results show both that Gbx2 functions as a terminal selector in a single AC subtype and identify Slit-Robo signaling as a developmental mechanism for ON-OFF pathway segregation in the retina.
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4
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Tiriac A, Feller MB. Roles of visually evoked and spontaneous activity in the development of retinal direction selectivity maps. Trends Neurosci 2022; 45:529-538. [PMID: 35491255 DOI: 10.1016/j.tins.2022.04.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/30/2022] [Accepted: 04/05/2022] [Indexed: 11/18/2022]
Abstract
Detecting the direction of motion underlies many visually guided behaviors, from reflexive eye movements to identifying and catching moving objects. A subset of motion sensitive cells are direction selective - responding strongly to motion in one direction and weakly to motion in other directions. In mammals, direction-selective cells are found throughout the visual system, including the retina, superior colliculus, and primary visual cortex. Direction selectivity maps are well characterized in the mouse retina, where the preferred directions of retinal direction-selective cells follow the projections of optic flow, generated by the movements animals make as they navigate their environment. Here, we synthesize recent findings implicating activity-dependent mechanisms in the development of retinal direction selectivity maps, with primary focus on studies in mice, and discuss the implications for the development of direction-selective responses in downstream visual areas.
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Affiliation(s)
- Alexandre Tiriac
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA.
| | - Marla B Feller
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720, USA.
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5
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Tsai NY, Wang F, Toma K, Yin C, Takatoh J, Pai EL, Wu K, Matcham AC, Yin L, Dang EJ, Marciano DK, Rubenstein JL, Wang F, Ullian EM, Duan X. Trans-Seq maps a selective mammalian retinotectal synapse instructed by Nephronectin. Nat Neurosci 2022; 25:659-674. [PMID: 35524141 PMCID: PMC9172271 DOI: 10.1038/s41593-022-01068-8] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 03/30/2022] [Indexed: 12/21/2022]
Abstract
The mouse visual system serves as an accessible model to understand mammalian circuit wiring. Despite rich knowledge in retinal circuits, the long-range connectivity map from distinct retinal ganglion cell (RGC) types to diverse brain neuron types remains unknown. In this study, we developed an integrated approach, called Trans-Seq, to map RGCs to superior collicular (SC) circuits. Trans-Seq combines a fluorescent anterograde trans-synaptic tracer, consisting of codon-optimized wheat germ agglutinin fused to mCherry, with single-cell RNA sequencing. We used Trans-Seq to classify SC neuron types innervated by genetically defined RGC types and predicted a neuronal pair from αRGCs to Nephronectin-positive wide-field neurons (NPWFs). We validated this connection using genetic labeling, electrophysiology and retrograde tracing. We then used transcriptomic data from Trans-Seq to identify Nephronectin as a determinant for selective synaptic choice from αRGC to NPWFs via binding to Integrin α8β1. The Trans-Seq approach can be broadly applied for post-synaptic circuit discovery from genetically defined pre-synaptic neurons.
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Affiliation(s)
- Nicole Y Tsai
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
- Medical Scientist Training Program and Biomedical Science Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Fei Wang
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Kenichi Toma
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Chen Yin
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Jun Takatoh
- McGovern Institute for Brain Research, MIT Brain and Cognitive Sciences, Cambridge, MA, USA
| | - Emily L Pai
- Neuroscience Graduate Program, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Kongyan Wu
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Angela C Matcham
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
- Neuroscience Graduate Program, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Luping Yin
- McGovern Institute for Brain Research, MIT Brain and Cognitive Sciences, Cambridge, MA, USA
| | - Eric J Dang
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Denise K Marciano
- Departments of Cell Biology and Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - John L Rubenstein
- Neuroscience Graduate Program, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Fan Wang
- McGovern Institute for Brain Research, MIT Brain and Cognitive Sciences, Cambridge, MA, USA
| | - Erik M Ullian
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA
| | - Xin Duan
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, USA.
- Department of Physiology, University of California, San Francisco, San Francisco, CA, USA.
- Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, USA.
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6
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Summers MT, Feller MB. Distinct inhibitory pathways control velocity and directional tuning in the mouse retina. Curr Biol 2022; 32:2130-2143.e3. [PMID: 35395192 DOI: 10.1016/j.cub.2022.03.054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 03/09/2022] [Accepted: 03/17/2022] [Indexed: 11/30/2022]
Abstract
The sensory periphery is responsible for detecting ethologically relevant features of the external world, using compact, predominantly feedforward circuits. Visual motion is a particularly prevalent sensory feature, the presence of which can be a signal to enact diverse behaviors ranging from gaze stabilization reflexes to predator avoidance or prey capture. To understand how the retina constructs the distinct neural representations required for these behaviors, we investigated two circuits responsible for encoding different aspects of image motion: ON and ON-OFF direction-selective ganglion cells (DSGCs). Using a combination of two-photon targeted whole-cell electrophysiology, pharmacology, and conditional knockout mice, we show that distinct inhibitory pathways independently control tuning for motion velocity and motion direction in these two cell types. We further employ dynamic clamp and numerical modeling techniques to show that asymmetric inhibition provides a velocity-invariant mechanism of directional tuning, despite the strong velocity dependence of classical models of direction selectivity. We therefore demonstrate that invariant representations of motion features by inhibitory interneurons act as computational building blocks to construct distinct, behaviorally relevant signals at the earliest stages of the visual system.
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Affiliation(s)
- Mathew T Summers
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Marla B Feller
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA.
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7
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Development of the vertebrate retinal direction-selective circuit. Dev Biol 2021; 477:273-283. [PMID: 34118273 DOI: 10.1016/j.ydbio.2021.06.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/17/2021] [Accepted: 06/04/2021] [Indexed: 01/13/2023]
Abstract
The vertebrate retina contains an array of neural circuits that detect distinct features in visual space. Direction-selective (DS) circuits are an evolutionarily conserved retinal circuit motif - from zebrafish to rodents to primates - specialized for motion detection. During retinal development, neuronal subtypes that wire DS circuits form exquisitely precise connections with each other to shape the output of retinal ganglion cells tuned for specific speeds and directions of motion. In this review, we follow the chronology of DS circuit development in the vertebrate retina, including the cellular, molecular, and activity-dependent mechanisms that regulate the formation of DS circuits, from cell birth and migration to synapse formation and refinement. We highlight recent findings that identify genetic programs critical for specifying neuronal subtypes within DS circuits and molecular interactions essential for responses along the cardinal axes of motion. Finally, we discuss the roles of DS circuits in visual behavior and in certain human visual disease conditions. As one of the best-characterized circuits in the vertebrate retina, DS circuits represent an ideal model system for studying the development of neural connectivity at the level of individual genes, cells, and behavior.
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8
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Cafaro J, Zylberberg J, Field GD. Global Motion Processing by Populations of Direction-Selective Retinal Ganglion Cells. J Neurosci 2020; 40:5807-5819. [PMID: 32561674 PMCID: PMC7380974 DOI: 10.1523/jneurosci.0564-20.2020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 06/09/2020] [Accepted: 06/12/2020] [Indexed: 11/21/2022] Open
Abstract
Simple stimuli have been critical to understanding neural population codes in sensory systems. Yet it remains necessary to determine the extent to which this understanding generalizes to more complex conditions. To examine this problem, we measured how populations of direction-selective ganglion cells (DSGCs) from the retinas of male and female mice respond to a global motion stimulus with its direction and speed changing dynamically. We then examined the encoding and decoding of motion direction in both individual and populations of DSGCs. Individual cells integrated global motion over ∼200 ms, and responses were tuned to direction. However, responses were sparse and broadly tuned, which severely limited decoding performance from small DSGC populations. In contrast, larger populations compensated for response sparsity, enabling decoding with high temporal precision (<100 ms). At these timescales, correlated spiking was minimal and had little impact on decoding performance, unlike results obtained using simpler local motion stimuli decoded over longer timescales. We use these data to define different DSGC population decoding regimes that use or mitigate correlated spiking to achieve high-spatial versus high-temporal resolution.SIGNIFICANCE STATEMENT ON-OFF direction-selective ganglion cells (ooDSGCs) in the mammalian retina are typically thought to signal local motion to the brain. However, several recent studies suggest they may signal global motion. Here we analyze the fidelity of encoding and decoding global motion in a natural scene across large populations of ooDSGCs. We show that large populations of DSGCs are capable of signaling rapid changes in global motion.
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Affiliation(s)
- Jon Cafaro
- Department of Neurobiology, Duke University, Durham, North Carolina, 27710
| | - Joel Zylberberg
- Department of Physics and Astronomy, York University, Toronto, Ontario, M3J 1P3
| | - Greg D Field
- Department of Neurobiology, Duke University, Durham, North Carolina, 27710
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9
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Vlasits AL, Euler T, Franke K. Function first: classifying cell types and circuits of the retina. Curr Opin Neurobiol 2019; 56:8-15. [DOI: 10.1016/j.conb.2018.10.011] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 10/24/2018] [Indexed: 12/30/2022]
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10
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Pujala A, Koyama M. Chronology-based architecture of descending circuits that underlie the development of locomotor repertoire after birth. eLife 2019; 8:42135. [PMID: 30801247 PMCID: PMC6449084 DOI: 10.7554/elife.42135] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Accepted: 02/22/2019] [Indexed: 12/17/2022] Open
Abstract
The emergence of new and increasingly sophisticated behaviors after birth is accompanied by dramatic increase of newly established synaptic connections in the nervous system. Little is known, however, of how nascent connections are organized to support such new behaviors alongside existing ones. To understand this, in the larval zebrafish we examined the development of spinal pathways from hindbrain V2a neurons and the role of these pathways in the development of locomotion. We found that new projections are continually layered laterally to existing neuropil, and give rise to distinct pathways that function in parallel to existing pathways. Across these chronologically layered pathways, the connectivity patterns and biophysical properties vary systematically to support a behavioral repertoire with a wide range of kinematics and dynamics. Such layering of new parallel circuits equipped with systematically changing properties may be central to the postnatal diversification and increasing sophistication of an animal’s behavioral repertoire. Newborn babies have limited abilities. Indeed, most of our actions shortly after birth are the result of reflexes that serve our most basic need: to stay alive. As we get older, however, our behaviour gradually becomes more sophisticated. During this time, the billions of cells in our brain form new connections to build intricate ‘circuits’ of neurons that allow for more complicated thoughts and actions. It is clear that the brain circuits that support new behaviours must develop in a way that does not interfere with the existing circuits that are vital for survival. However, the challenge has been to find a way to peer into a brain as it develops to see how these new circuits form. In recent years, zebrafish have revolutionised research into neuronal circuits in animals. Developing over the course of a few days, these small transparent fish provide a window into the brain during the earliest stages of development. Indeed, the circuits of neurons that descend from the brain and connect to the spinal cord have already been mapped in these animals. Now, Pujala and Koyama have begun to follow the careful development of these ‘descending’ neurons, and relate it to the appearance of new behaviours in young zebrafish. Time-lapse imaging with a fluorescent protein that is active only in specific descending neurons revealed that new circuits are laid down over existing ones, like the growth rings in a tree. Next, at different timepoints in zebrafish development, Pujala and Koyama traced these neurons backwards from the spine to the brain to identify which connections formed first. This showed that the spinal connections develop one after the other, in the same order that the neurons mature. Next, Pujala and Koyama asked how the activity of neurons that mature early or late in development relates to specific behaviours in young zebrafish. Early-born circuits connect to neurons that produce powerful, reflex-driven, whole-body movements such as an escape response. The later circuits connect to different neurons through slower, less direct pathways; the late-born neurons also generate the refined movements that are acquired later in a zebrafish’s development and help the fish to explore its environment. These findings show that descending circuits in zebrafish run parallel to each other, but with distinct connections and properties that allow them to control different kinds of movements. While this study was conducted using an animal model, a better understanding of how such circuits develop and the movements they control may one day aid the treatment of patients with neurodegenerative diseases or injuries where connections have been lost.
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Affiliation(s)
- Avinash Pujala
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States
| | - Minoru Koyama
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States
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11
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Abstract
Visual motion on the retina activates a cohort of retinal ganglion cells (RGCs). This population activity encodes multiple streams of information extracted by parallel retinal circuits. Motion processing in the retina is best studied in the direction-selective circuit. The main focus of this review is the neural basis of direction selectivity, which has been investigated in unprecedented detail using state-of-the-art functional, connectomic, and modeling methods. Mechanisms underlying the encoding of other motion features by broader RGC populations are also discussed. Recent discoveries at both single-cell and population levels highlight the dynamic and stimulus-dependent engagement of multiple mechanisms that collectively implement robust motion detection under diverse visual conditions.
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Affiliation(s)
- Wei Wei
- Department of Neurobiology, The University of Chicago, Chicago, Illinois 60637, USA
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12
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Chen Q, Wei W. Stimulus-dependent engagement of neural mechanisms for reliable motion detection in the mouse retina. J Neurophysiol 2018; 120:1153-1161. [PMID: 29897862 DOI: 10.1152/jn.00716.2017] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Direction selectivity is a fundamental computation in the visual system and is first computed by the direction-selective circuit in the mammalian retina. Although landmark discoveries on the neural basis of direction selectivity have been made in the rabbit, many technological advances designed for the mouse have emerged, making this organism a favored model for investigating the direction-selective circuit at the molecular, synaptic, and network levels. Studies using diverse motion stimuli in the mouse retina demonstrate that retinal direction selectivity is implemented by multilayered mechanisms. This review begins with a set of central mechanisms that are engaged under a wide range of visual conditions and then focuses on additional layers of mechanisms that are dynamically recruited under different visual stimulus conditions. Together, recent findings allude to an emerging theme: robust motion detection in the natural environment requires flexible neural mechanisms.
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Affiliation(s)
- Qiang Chen
- Department of Neurobiology, The University of Chicago , Chicago, Illinois.,Committee on Computational Neuroscience, The University of Chicago , Chicago, Illinois
| | - Wei Wei
- Department of Neurobiology, The University of Chicago , Chicago, Illinois.,Committee on Computational Neuroscience, The University of Chicago , Chicago, Illinois
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13
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Morrie RD, Feller MB. A Dense Starburst Plexus Is Critical for Generating Direction Selectivity. Curr Biol 2018; 28:1204-1212.e5. [PMID: 29606419 PMCID: PMC5916530 DOI: 10.1016/j.cub.2018.03.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 02/27/2018] [Accepted: 03/01/2018] [Indexed: 01/02/2023]
Abstract
Starburst amacrine cell (SAC) morphology is considered central to retinal direction selectivity. In Sema6A-/- mice, SAC dendritic arbors are smaller and no longer radially symmetric, leading to a reduction in SAC dendritic plexus density. Sema6A-/- mice also have a dramatic reduction in the directional tuning of retinal direction-selective ganglion cells (DSGCs). Here we show that the loss of DSGC tuning in Sema6A-/- mice is due to reduced null direction inhibition, even though strong asymmetric SAC-DSGC connectivity and SAC dendritic direction selectivity are maintained. Hence, the reduced coverage factor of SAC dendrites leads specifically to a loss of null direction inhibition. Moreover, SAC dendrites are no longer strictly tuned to centrifugal motion, indicating that SAC morphology is critical in coordinating synaptic connectivity and dendritic integration to generate direction selectivity.
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Affiliation(s)
- Ryan D Morrie
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Marla B Feller
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA.
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14
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Peng YR, Tran NM, Krishnaswamy A, Kostadinov D, Martersteck EM, Sanes JR. Satb1 Regulates Contactin 5 to Pattern Dendrites of a Mammalian Retinal Ganglion Cell. Neuron 2017; 95:869-883.e6. [PMID: 28781169 DOI: 10.1016/j.neuron.2017.07.019] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Revised: 06/16/2017] [Accepted: 07/19/2017] [Indexed: 12/13/2022]
Abstract
The size and shape of dendritic arbors are prime determinants of neuronal connectivity and function. We asked how ON-OFF direction-selective ganglion cells (ooDSGCs) in mouse retina acquire their bistratified dendrites, in which responses to light onset and light offset are segregated to distinct strata. We found that the transcriptional regulator Satb1 is selectively expressed by ooDSGCs. In Satb1 mutant mice, ooDSGC dendrites lack ON arbors, and the cells selectively lose ON responses. Satb1 regulates expression of a homophilic adhesion molecule, Contactin 5 (Cntn5). Both Cntn5 and its co-receptor Caspr4 are expressed not only by ooDSGCs, but also by interneurons that form a scaffold on which ooDSGC ON dendrites fasciculate. Removing Cntn5 from either ooDSGCs or interneurons partially phenocopies Satb1 mutants, demonstrating that Satb1-dependent Cntn5 expression in ooDSGCs leads to branch-specific homophilic interactions with interneurons. Thus, Satb1 directs formation of a morphologically and functionally specialized compartment within a complex dendritic arbor.
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Affiliation(s)
- Yi-Rong Peng
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Nicholas M Tran
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Arjun Krishnaswamy
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Dimitar Kostadinov
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Emily M Martersteck
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Joshua R Sanes
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.
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15
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Neuronal cell-type classification: challenges, opportunities and the path forward. Nat Rev Neurosci 2017; 18:530-546. [PMID: 28775344 DOI: 10.1038/nrn.2017.85] [Citation(s) in RCA: 471] [Impact Index Per Article: 67.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Neurons have diverse molecular, morphological, connectional and functional properties. We believe that the only realistic way to manage this complexity - and thereby pave the way for understanding the structure, function and development of brain circuits - is to group neurons into types, which can then be analysed systematically and reproducibly. However, neuronal classification has been challenging both technically and conceptually. New high-throughput methods have created opportunities to address the technical challenges associated with neuronal classification by collecting comprehensive information about individual cells. Nonetheless, conceptual difficulties persist. Borrowing from the field of species taxonomy, we propose principles to be followed in the cell-type classification effort, including the incorporation of multiple, quantitative features as criteria, the use of discontinuous variation to define types and the creation of a hierarchical system to represent relationships between cells. We review the progress of classifying cell types in the retina and cerebral cortex and propose a staged approach for moving forward with a systematic cell-type classification in the nervous system.
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16
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Fang Q, Tao HW. Direction selectivity starts early. Nat Neurosci 2017; 20:899-901. [PMID: 28653688 PMCID: PMC10994219 DOI: 10.1038/nn.4585] [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] [Indexed: 11/08/2022]
Abstract
Disruption of retinal direction selectivity reveals both peripheral and central computations contributing to direction selectivity in mouse visual cortex. These mechanisms work together to better encode motion directions and speeds.
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Affiliation(s)
- Qi Fang
- Zilkha Neurogenetic Institute, Department of Physiology and Neuroscience, Neuroscience Graduate Program, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Huizhong W Tao
- Zilkha Neurogenetic Institute, Department of Physiology and Neuroscience, Neuroscience Graduate Program, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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17
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Park EB, Gu YN, Jeon CJ. Immunocytochemical localization of cholinergic amacrine cells in the bat retina. Acta Histochem 2017; 119:428-437. [PMID: 28483062 DOI: 10.1016/j.acthis.2017.04.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2016] [Revised: 04/28/2017] [Accepted: 04/28/2017] [Indexed: 01/05/2023]
Abstract
The purpose of this study was to localize the cholinergic amacrine cells, one of the key elements of a functional retina, in the retina of a microbat, Rhinolophus ferrumequinum. The presence and localization of choline acetyltransferase-immunoreactive (ChAT-IR) cells in the microbat retina were investigated using immunocytochemistry, confocal microscopy, and quantitative analysis. These ChAT-IR cells were present in the ganglion cell layer (GCL) and inner part of the inner nuclear layer (INL), as previously reported in various animals. However, the bat retina also contained some ChAT-IR cells in the outer part of the INL. The dendrites of these cells extended into the outer plexiform layer, and those of the cells in the inner INL extended within the outer part of the inner plexiform layer (IPL). The dendrites of the ChAT-IR cells in the GCL extended into the middle of the IPL and some fibers ramified up to the outer IPL. The average densities of ChAT-IR cells in the GCL, inner INL, and outer INL were 259±31cells/mm2, 469±48cells/mm2, and 59±8cells/mm2, respectively. The average total density of the ChAT-IR cells was 788±58cells/mm2 (mean±S.D.; n=3; 2799±182 cells/retina). We also found that the cholinergic amacrine cells in the bat retina contained calbindin, one of the calcium-binding proteins, but not calretinin or parvalbumin. As the cholinergic amacrine cells play key roles in the direction selectivity and optokinetic eye reflex in the other mammalian retinas, the present study might provide better information of the cytoarchitecture of bat retina and the basic sources for further physiological studies.
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Affiliation(s)
- Eun-Bee Park
- Department of Biology, School of Life Sciences, BK21 Plus KNU Creative BioResearch Group, College of Natural Sciences, and Brain Science and Engineering Institute, Kyungpook National University, Daegu, 41566, South Korea
| | - Ya-Nan Gu
- Department of Biology, School of Life Sciences, BK21 Plus KNU Creative BioResearch Group, College of Natural Sciences, and Brain Science and Engineering Institute, Kyungpook National University, Daegu, 41566, South Korea
| | - Chang-Jin Jeon
- Department of Biology, School of Life Sciences, BK21 Plus KNU Creative BioResearch Group, College of Natural Sciences, and Brain Science and Engineering Institute, Kyungpook National University, Daegu, 41566, South Korea.
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