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Malaiya S, Cortes-Gutierrez M, Herb BR, Coffey SR, Legg SRW, Cantle JP, Colantuoni C, Carroll JB, Ament SA. Single-Nucleus RNA-Seq Reveals Dysregulation of Striatal Cell Identity Due to Huntington's Disease Mutations. J Neurosci 2021; 41:5534-5552. [PMID: 34011527 PMCID: PMC8221598 DOI: 10.1523/jneurosci.2074-20.2021] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 03/25/2021] [Accepted: 05/06/2021] [Indexed: 11/21/2022] Open
Abstract
Huntington's disease (HD) is a dominantly inherited neurodegenerative disorder caused by a trinucleotide expansion in exon 1 of the huntingtin (HTT) gene. Cell death in HD occurs primarily in striatal medium spiny neurons (MSNs), but the involvement of specific MSN subtypes and of other striatal cell types remains poorly understood. To gain insight into cell type-specific disease processes, we studied the nuclear transcriptomes of 4524 cells from the striatum of a genetically precise knock-in mouse model of the HD mutation, HttQ175/+, and from wild-type controls. We used 14- to 15-month-old male mice, a time point at which multiple behavioral, neuroanatomical, and neurophysiological changes are present but at which there is no known cell death. Thousands of differentially expressed genes (DEGs) were distributed across most striatal cell types, including transcriptional changes in glial populations that are not apparent from RNA-seq of bulk tissue. Reconstruction of cell type-specific transcriptional networks revealed a striking pattern of bidirectional dysregulation for many cell type-specific genes. Typically, these genes were repressed in their primary cell type, yet de-repressed in other striatal cell types. Integration with existing epigenomic and transcriptomic data suggest that partial loss-of-function of the polycomb repressive complex 2 (PRC2) may underlie many of these transcriptional changes, leading to deficits in the maintenance of cell identity across virtually all cell types in the adult striatum.SIGNIFICANCE STATEMENT Huntington's disease (HD) is a dominantly inherited neurodegenerative disorder characterized by specific loss of medium spiny neurons (MSNs) in the striatum, accompanied by more subtle changes in many other cell types. It is thought that changes in transcriptional regulation are an important underlying mechanism, but cell type-specific gene expression changes are not well understood, particularly at time points relevant to the onset of disease-related symptoms. Single-nucleus (sn)RNA-seq in a genetically precise mouse model enabled us to identify novel patterns of transcriptional dysregulation because of HD mutations, including bidirectional dysregulation of many cell type identity genes that may be driven by partial loss-of-function of the polycomb repressive complex (PRC). Identifying these regulators of transcriptional dysregulation in HD can be leveraged to design novel disease-modifying therapeutics.
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Affiliation(s)
- Sonia Malaiya
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201
| | - Marcia Cortes-Gutierrez
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201
| | - Brian R Herb
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201
| | - Sydney R Coffey
- Department of Psychology, Western Washington University, Bellingham, Washington 98225
| | - Samuel R W Legg
- Department of Psychology, Western Washington University, Bellingham, Washington 98225
| | - Jeffrey P Cantle
- Department of Psychology, Western Washington University, Bellingham, Washington 98225
| | - Carlo Colantuoni
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201
- Departments of Neurology and Neuroscience, Johns Hopkins School of Medicine, Baltimore, Maryland 21287
| | - Jeffrey B Carroll
- Department of Psychology, Western Washington University, Bellingham, Washington 98225
| | - Seth A Ament
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland 21201
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52
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Hamid AA, Frank MJ, Moore CI. Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment. Cell 2021; 184:2733-2749.e16. [PMID: 33861952 PMCID: PMC8122079 DOI: 10.1016/j.cell.2021.03.046] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 12/31/2020] [Accepted: 03/23/2021] [Indexed: 12/17/2022]
Abstract
Significant evidence supports the view that dopamine shapes learning by encoding reward prediction errors. However, it is unknown whether striatal targets receive tailored dopamine dynamics based on regional functional specialization. Here, we report wave-like spatiotemporal activity patterns in dopamine axons and release across the dorsal striatum. These waves switch between activational motifs and organize dopamine transients into localized clusters within functionally related striatal subregions. Notably, wave trajectories were tailored to task demands, propagating from dorsomedial to dorsolateral striatum when rewards are contingent on animal behavior and in the opponent direction when rewards are independent of behavioral responses. We propose a computational architecture in which striatal dopamine waves are sculpted by inference about agency and provide a mechanism to direct credit assignment to specialized striatal subregions. Supporting model predictions, dorsomedial dopamine activity during reward-pursuit signaled the extent of instrumental control and interacted with reward waves to predict future behavioral adjustments.
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Affiliation(s)
- Arif A Hamid
- Department of Neuroscience, Brown University, Providence, RI 02912, USA; Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA.
| | - Michael J Frank
- Department of Cognitive Linguistics & Psychological Sciences, Brown University, Providence, RI 02912, USA; Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA.
| | - Christopher I Moore
- Department of Neuroscience, Brown University, Providence, RI 02912, USA; Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA.
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53
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Cui Q, Du X, Chang IYM, Pamukcu A, Lilascharoen V, Berceau BL, García D, Hong D, Chon U, Narayanan A, Kim Y, Lim BK, Chan CS. Striatal Direct Pathway Targets Npas1 + Pallidal Neurons. J Neurosci 2021; 41:3966-3987. [PMID: 33731445 PMCID: PMC8176753 DOI: 10.1523/jneurosci.2306-20.2021] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 03/02/2021] [Accepted: 03/04/2021] [Indexed: 12/19/2022] Open
Abstract
The classic basal ganglia circuit model asserts a complete segregation of the two striatal output pathways. Empirical data argue that, in addition to indirect-pathway striatal projection neurons (iSPNs), direct-pathway striatal projection neurons (dSPNs) innervate the external globus pallidus (GPe). However, the functions of the latter were not known. In this study, we interrogated the organization principles of striatopallidal projections and their roles in full-body movement in mice (both males and females). In contrast to the canonical motor-promoting response of dSPNs in the dorsomedial striatum (DMSdSPNs), optogenetic stimulation of dSPNs in the dorsolateral striatum (DLSdSPNs) suppressed locomotion. Circuit analyses revealed that dSPNs selectively target Npas1+ neurons in the GPe. In a chronic 6-hydroxydopamine lesion model of Parkinson's disease, the dSPN-Npas1+ projection was dramatically strengthened. As DLSdSPN-Npas1+ projection suppresses movement, the enhancement of this projection represents a circuit mechanism for the hypokinetic symptoms of Parkinson's disease that has not been previously considered. In sum, our results suggest that dSPN input to the GPe is a critical circuit component that is involved in the regulation of movement in both healthy and parkinsonian states.SIGNIFICANCE STATEMENT In the classic basal ganglia model, the striatum is described as a divergent structure: it controls motor and adaptive functions through two segregated, opposing output streams. However, the experimental results that show the projection from direct-pathway neurons to the external pallidum have been largely ignored. Here, we showed that this striatopallidal subpathway targets a select subset of neurons in the external pallidum and is motor-suppressing. We found that this subpathway undergoes changes in a Parkinson's disease model. In particular, our results suggest that the increase in strength of this subpathway contributes to the slowness or reduced movements observed in Parkinson's disease.
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Affiliation(s)
- Qiaoling Cui
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, 60611
| | - Xixun Du
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, 60611
- Department of Physiology, School of Basic Medicine, Qingdao University, Qingdao, China, 266071
| | - Isaac Y M Chang
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, 60611
| | - Arin Pamukcu
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, 60611
| | - Varoth Lilascharoen
- Neurobiology Section, Biological Sciences Division, University of California San Diego, La Jolla, California, 92093
| | - Brianna L Berceau
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, 60611
| | - Daniela García
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, 60611
| | - Darius Hong
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, 60611
| | - Uree Chon
- Department of Neural and Behavioral Sciences, College of Medicine, Penn State University, Hershey, Pennsylvania, 16802
| | - Ahana Narayanan
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, 60611
| | - Yongsoo Kim
- Department of Neural and Behavioral Sciences, College of Medicine, Penn State University, Hershey, Pennsylvania, 16802
| | - Byung Kook Lim
- Neurobiology Section, Biological Sciences Division, University of California San Diego, La Jolla, California, 92093
| | - C Savio Chan
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, 60611
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Abstract
Maps of the nervous system inspire experiments and theories in neuroscience. Advances in molecular biology over the past decades have revolutionized the definition of cell and tissue identity. Spatial transcriptomics has opened up a new era in neuroanatomy, where the unsupervised and unbiased exploration of the molecular signatures of tissue organization will give rise to a new generation of brain maps. We propose that the molecular classification of brain regions on the basis of their gene expression profile can circumvent subjective neuroanatomical definitions and produce common reference frameworks that can incorporate cell types, connectivity, activity, and other modalities. Here we review the technological and conceptual advances made possible by spatial transcriptomics in the context of advancing neuroanatomy and discuss how molecular neuroanatomy can redefine mapping of the nervous system.
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Affiliation(s)
- Cantin Ortiz
- Department of Neuroscience, Karolinska Institutet, Stockholm 171 77, Sweden; .,Current affiliation: Department of Neuroscience, Institut Pasteur, 75015 Paris, France;
| | - Marie Carlén
- Department of Neuroscience, Karolinska Institutet, Stockholm 171 77, Sweden;
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Guyon N, Zacharias LR, van Lunteren JA, Immenschuh J, Fuzik J, Märtin A, Xuan Y, Zilberter M, Kim H, Meletis K, Lopes-Aguiar C, Carlén M. Adult trkB Signaling in Parvalbumin Interneurons is Essential to Prefrontal Network Dynamics. J Neurosci 2021; 41:3120-3141. [PMID: 33593856 PMCID: PMC8026352 DOI: 10.1523/jneurosci.1848-20.2021] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 01/16/2021] [Accepted: 01/25/2021] [Indexed: 01/29/2023] Open
Abstract
Inhibitory interneurons expressing parvalbumin (PV) are central to cortical network dynamics, generation of γ oscillations, and cognition. Dysfunction of PV interneurons disrupts cortical information processing and cognitive behavior. Brain-derived neurotrophic factor (BDNF)/tyrosine receptor kinase B (trkB) signaling regulates the maturation of cortical PV interneurons but is also implicated in their adult multidimensional functions. Using a novel viral strategy for cell-type-specific and spatially restricted expression of a dominant-negative trkB (trkB.DN), we show that BDNF/trkB signaling is essential to the integrity and maintenance of prefrontal PV interneurons in adult male and female mice. Reduced BDNF/trkB signaling in PV interneurons in the medial prefrontal cortex (mPFC) resulted in deficient PV inhibition and increased baseline local field potential (LFP) activity in a broad frequency band. The altered network activity was particularly pronounced during increased activation of the prefrontal network and was associated with changed dynamics of local excitatory neurons, as well as decreased modulation of the LFP, abnormalities that appeared to generalize across stimuli and brain states. In addition, our findings link reduced BDNF/trkB signaling in prefrontal PV interneurons to increased aggression. Together our investigations demonstrate that BDNF/trkB signaling in PV interneurons in the adult mPFC is essential to local network dynamics and cognitive behavior. Our data provide direct support for the suggested association between decreased trkB signaling, deficient PV inhibition, and altered prefrontal circuitry.SIGNIFICANCE STATEMENT Brain-derived neurotrophic factor (BDNF)/tyrosine receptor kinase B (trkB) signaling promotes the maturation of inhibitory parvalbumin (PV) interneurons, neurons central to local cortical dynamics, γ rhythms, and cognition. Here, we used a novel viral approach for reduced BDNF/trkB signaling in PV interneurons in the medial prefrontal cortex (mPFC) to establish the role of BDNF/trkB signaling in adult prefrontal network activities. Reduced BDNF/trkB signaling caused pronounced morphologic alterations, reduced PV inhibition, and deficient prefrontal network dynamics. The altered network activity appeared to manifest across stimuli and brain states and was associated with aberrant local field potential (LFP) activities and increased aggression. The results demonstrate that adult BDNF/trkB signaling is essential to PV inhibition and prefrontal circuit function and directly links BDNF/trkB signaling to network integrity in the adult brain.
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Affiliation(s)
- Nicolas Guyon
- Department of Neuroscience, Karolinska Institutet, Stockholm 17177, Sweden
| | - Leonardo Rakauskas Zacharias
- Department of Neuroscience and Behavioral Sciences, Ribeirão Preto Medical School, Universidade de São Paulo, Ribeirão Preto 14049-900, Brazil
| | | | - Jana Immenschuh
- Department of Neuroscience, Karolinska Institutet, Stockholm 17177, Sweden
| | - Janos Fuzik
- Department of Neuroscience, Karolinska Institutet, Stockholm 17177, Sweden
| | - Antje Märtin
- Department of Neuroscience, Karolinska Institutet, Stockholm 17177, Sweden
| | - Yang Xuan
- Department of Neuroscience, Karolinska Institutet, Stockholm 17177, Sweden
| | - Misha Zilberter
- Department of Neuroscience, Karolinska Institutet, Stockholm 17177, Sweden
| | - Hoseok Kim
- Department of Neuroscience, Karolinska Institutet, Stockholm 17177, Sweden
| | | | - Cleiton Lopes-Aguiar
- Department of Physiology and Biophysics, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil
| | - Marie Carlén
- Department of Neuroscience, Karolinska Institutet, Stockholm 17177, Sweden
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge 14183, Sweden
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56
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van Heusden F, Macey-Dare A, Gordon J, Krajeski R, Sharott A, Ellender T. Diversity in striatal synaptic circuits arises from distinct embryonic progenitor pools in the ventral telencephalon. Cell Rep 2021; 35:109041. [PMID: 33910016 PMCID: PMC8097690 DOI: 10.1016/j.celrep.2021.109041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 01/29/2021] [Accepted: 04/06/2021] [Indexed: 11/16/2022] Open
Abstract
Synaptic circuits in the brain are precisely organized, but the processes that govern this precision are poorly understood. Here, we explore how distinct embryonic neural progenitor pools in the lateral ganglionic eminence contribute to neuronal diversity and synaptic circuit connectivity in the mouse striatum. In utero labeling of Tα1-expressing apical intermediate progenitors (aIP), as well as other progenitors (OP), reveals that both progenitors generate direct and indirect pathway spiny projection neurons (SPNs) with similar electrophysiological and anatomical properties and are intermingled in medial striatum. Subsequent optogenetic circuit-mapping experiments demonstrate that progenitor origin significantly impacts long-range excitatory input strength, with medial prefrontal cortex preferentially driving aIP-derived SPNs and visual cortex preferentially driving OP-derived SPNs. In contrast, the strength of local inhibitory inputs among SPNs is controlled by birthdate rather than progenitor origin. Combined, these results demonstrate distinct roles for embryonic progenitor origin in shaping neuronal and circuit properties of the postnatal striatum. The Tα1 promoter distinguishes two embryonic progenitor pools in the LGE Both pools generate intermixed spiny projection neurons in dorsomedial striatum Excitatory cortical inputs are biased toward SPNs of different embryonic origin Neurogenic stage rather impacts local inhibitory connections among SPNs
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Affiliation(s)
- Fran van Heusden
- Department of Pharmacology, University of Oxford, Oxford OX1 3QT, UK
| | - Anežka Macey-Dare
- Department of Pharmacology, University of Oxford, Oxford OX1 3QT, UK
| | - Jack Gordon
- Department of Pharmacology, University of Oxford, Oxford OX1 3QT, UK
| | - Rohan Krajeski
- Department of Pharmacology, University of Oxford, Oxford OX1 3QT, UK
| | | | - Tommas Ellender
- Department of Pharmacology, University of Oxford, Oxford OX1 3QT, UK.
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57
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Mukherjee D, Gonzales BJ, Ashwal-Fluss R, Turm H, Groysman M, Citri A. Egr2 induction in spiny projection neurons of the ventrolateral striatum contributes to cocaine place preference in mice. eLife 2021; 10:65228. [PMID: 33724178 PMCID: PMC8057818 DOI: 10.7554/elife.65228] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 03/15/2021] [Indexed: 12/16/2022] Open
Abstract
Drug addiction develops due to brain-wide plasticity within neuronal ensembles, mediated by dynamic gene expression. Though the most common approach to identify such ensembles relies on immediate early gene expression, little is known of how the activity of these genes is linked to modified behavior observed following repeated drug exposure. To address this gap, we present a broad-to-specific approach, beginning with a comprehensive investigation of brain-wide cocaine-driven gene expression, through the description of dynamic spatial patterns of gene induction in subregions of the striatum, and finally address functionality of region-specific gene induction in the development of cocaine preference. Our findings reveal differential cell-type specific dynamic transcriptional recruitment patterns within two subdomains of the dorsal striatum following repeated cocaine exposure. Furthermore, we demonstrate that induction of the IEG Egr2 in the ventrolateral striatum, as well as the cells within which it is expressed, are required for the development of cocaine seeking. The human brain is ever changing, constantly rewiring itself in response to new experiences, knowledge or information from the environment. Addictive drugs such as cocaine can hijack the genetic mechanisms responsible for this plasticity, creating dangerous, obsessive drug-seeking and consuming behaviors. Cocaine-induced plasticity is difficult to apprehend, however, as brain regions or even cell populations can react differently to the compound. For instance, sub-regions in the striatum – the brain area that responds to rewards and helps to plan movement – show distinct responses during progressive exposure to cocaine. And while researchers know that the drug immediately changes how neurons switch certain genes on and off, it is still unclear how these genetic modifications later affect behavior. Mukherjee, Gonzales et al. explored these questions at different scales, first focusing on how progressive cocaine exposure changed the way various gene programs were activated across the entire brain. This revealed that programs in the striatum were the most affected by the drug. Examining this region more closely showed that cocaine switches on genes in specific ‘spiny projection’ neuron populations, depending on where these cells are located and the drug history of the mouse. Finally, Mukherjee, Gonzales et al. used genetically modified mice to piece together cocaine exposure, genetic changes and modifications in behavior. These experiments revealed that the drive to seek cocaine depended on activation of the Egr2 gene in populations of spiny projection neurons in a specific sub-region of the striatum. The gene, which codes for a protein that regulates how genes are switched on and off, was itself strongly activated by cocaine intake. Cocaine addiction can have devastating consequences for individuals. Grasping how this drug alters the brain could pave the way for new treatments, while also providing information on the basic mechanisms underlying brain plasticity.
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Affiliation(s)
- Diptendu Mukherjee
- The Edmond and Lily Safra Center for Brain Sciences, Jerusalem, Israel.,Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ben Jerry Gonzales
- The Edmond and Lily Safra Center for Brain Sciences, Jerusalem, Israel.,Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Reut Ashwal-Fluss
- The Edmond and Lily Safra Center for Brain Sciences, Jerusalem, Israel
| | - Hagit Turm
- The Edmond and Lily Safra Center for Brain Sciences, Jerusalem, Israel.,Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Maya Groysman
- The Edmond and Lily Safra Center for Brain Sciences, Jerusalem, Israel
| | - Ami Citri
- The Edmond and Lily Safra Center for Brain Sciences, Jerusalem, Israel.,Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.,Program in Child and Brain Development, Canadian Institute for Advanced Research, MaRS Centre, Toronto, Canada
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58
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Ehrlich AT, Darcq E. Recent advances in basic science methodology to evaluate opioid safety profiles and to understand opioid activities. Fac Rev 2021; 10:15. [PMID: 33718932 PMCID: PMC7946392 DOI: 10.12703/r/10-15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Opioids are powerful drugs used by humans for centuries to relieve pain and are still frequently used as pain treatment in current clinical practice. Medicinal opioids primarily target the mu opioid receptor (MOR), and MOR activation produces unmatched pain-alleviating properties, as well as side effects such as strong rewarding effects, and thus abuse potential, and respiratory depression contributing to death during overdose. Therefore, the ultimate goal is to create opioid pain-relievers with reduced respiratory depression and thus fewer chances of lethality. Efforts are also underway to reduce the euphoric effects of opioids and avoid abuse liability. In this review, recent advances in basic science methodology used to understand MOR pharmacology and activities will be summarized. The focus of the review will be to describe current technological advances that enable the study of opioid analgesics from subcellular mechanisms to mesoscale network responses. These advances in understanding MOR physiological responses will help to improve knowledge and future design of opioid analgesics.
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Affiliation(s)
- Aliza T Ehrlich
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
| | - Emmanuel Darcq
- Department of Psychiatry, Douglas Research Center, McGill University, Montréal, Canada
- INSERM U1114, UNISTRA University of Strasbourg, Strasbourg, France
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59
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Miczán V, Kelemen K, Glavinics JR, László ZI, Barti B, Kenesei K, Kisfali M, Katona I. NECAB1 and NECAB2 are Prevalent Calcium-Binding Proteins of CB1/CCK-Positive GABAergic Interneurons. Cereb Cortex 2021; 31:1786-1806. [PMID: 33230531 PMCID: PMC7869086 DOI: 10.1093/cercor/bhaa326] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 09/21/2020] [Accepted: 10/08/2020] [Indexed: 12/13/2022] Open
Abstract
The molecular repertoire of the "Ca2+-signaling toolkit" supports the specific kinetic requirements of Ca2+-dependent processes in different neuronal types. A well-known example is the unique expression pattern of calcium-binding proteins, such as parvalbumin, calbindin, and calretinin. These cytosolic Ca2+-buffers control presynaptic and somatodendritic processes in a cell-type-specific manner and have been used as neurochemical markers of GABAergic interneuron types for decades. Surprisingly, to date no typifying calcium-binding proteins have been found in CB1 cannabinoid receptor/cholecystokinin (CB1/CCK)-positive interneurons that represent a large population of GABAergic cells in cortical circuits. Because CB1/CCK-positive interneurons display disparate presynaptic and somatodendritic Ca2+-transients compared with other interneurons, we tested the hypothesis that they express alternative calcium-binding proteins. By in silico data mining in mouse single-cell RNA-seq databases, we identified high expression of Necab1 and Necab2 genes encoding N-terminal EF-hand calcium-binding proteins 1 and 2, respectively, in CB1/CCK-positive interneurons. Fluorescent in situ hybridization and immunostaining revealed cell-type-specific distribution of NECAB1 and NECAB2 throughout the isocortex, hippocampal formation, and basolateral amygdala complex. Combination of patch-clamp electrophysiology, confocal, and STORM super-resolution microscopy uncovered subcellular nanoscale differences indicating functional division of labor between the two calcium-binding proteins. These findings highlight NECAB1 and NECAB2 as predominant calcium-binding proteins in CB1/CCK-positive interneurons.
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Affiliation(s)
- Vivien Miczán
- Momentum Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, Budapest 1083, Hungary
- Roska Tamás Doctoral School of Sciences and Technology, Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest 1083, Hungary
| | - Krisztina Kelemen
- Momentum Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, Budapest 1083, Hungary
- Department of Physiology, Faculty of Medicine, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, Târgu Mureș 540142, Romania
| | - Judit R Glavinics
- Momentum Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, Budapest 1083, Hungary
| | - Zsófia I László
- Momentum Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, Budapest 1083, Hungary
- Szentágothai János Doctoral School of Neuroscience, Semmelweis University, Budapest 1083, Hungary
| | - Benjámin Barti
- Momentum Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, Budapest 1083, Hungary
- Szentágothai János Doctoral School of Neuroscience, Semmelweis University, Budapest 1083, Hungary
| | - Kata Kenesei
- Momentum Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, Budapest 1083, Hungary
| | - Máté Kisfali
- Momentum Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, Budapest 1083, Hungary
| | - István Katona
- Momentum Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, Budapest 1083, Hungary
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA
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60
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Valjent E, Gangarossa G. The Tail of the Striatum: From Anatomy to Connectivity and Function. Trends Neurosci 2020; 44:203-214. [PMID: 33243489 DOI: 10.1016/j.tins.2020.10.016] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 09/05/2020] [Accepted: 10/28/2020] [Indexed: 12/17/2022]
Abstract
The dorsal striatum, the largest subcortical structure of the basal ganglia, is critical in controlling motor, procedural, and reinforcement-based behaviors. Although in mammals the striatum extends widely along the rostro-caudal axis, current knowledge and derived theories about its anatomo-functional organization largely rely on results obtained from studies of its rostral sectors, leading to potentially oversimplified working models of the striatum as a whole. Recent findings indicate that the extreme caudal part of the striatum, also referred to as the tail of striatum (TS), represents an additional functional domain. Here, we provide an overview of past and recent studies revealing that the TS displays a heterogeneous cell-type-specific organization, and a unique input-output connectivity, which poises the TS as an integrator of sensory processing.
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Affiliation(s)
- Emmanuel Valjent
- IGF, University of Montpellier, CNRS, INSERM, Montpellier, France.
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61
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Activation of Astrocytes in the Dorsomedial Striatum Facilitates Transition From Habitual to Goal-Directed Reward-Seeking Behavior. Biol Psychiatry 2020; 88:797-808. [PMID: 32564901 PMCID: PMC7584758 DOI: 10.1016/j.biopsych.2020.04.023] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 04/22/2020] [Accepted: 04/22/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Habitual reward-seeking behavior is a hallmark of addictive behavior. The role of the dorsomedial striatum (DMS) in regulating goal-directed reward-seeking behavior has been long appreciated. However, it remains unclear how the astrocytic activities in the DMS differentially affect the behavioral shift. METHODS To investigate the astrocytic activity-driven neuronal synaptic events and behavioral consequences, we chemogenetically activated astrocytes in the DMS using GFAP promoter-driven expression of hM3Dq, the excitatory DREADDs (designer receptors exclusively activated by designer drugs). First, we confirmed the chemogenetically induced cellular activity in the DMS astrocytes using calcium imaging. Then, we recorded electrophysiological changes in the synaptic activity of the two types of medium spiny neurons (MSNs): direct and indirect pathway MSNs. To evaluate the behavioral consequences, we trained mice in nose-poking operant chambers that developed either habitual or goal-directed reward-seeking behaviors. RESULTS The activation of DMS astrocytes reduced the frequency of spontaneous excitatory postsynaptic currents in the direct pathway MSNs, whereas it increased the amplitude of the spontaneous excitatory postsynaptic currents and decreased the frequency of spontaneous inhibitory postsynaptic currents in the indirect pathway MSNs. Interestingly, astrocyte-induced DMS neuronal activities are regulated by adenosine metabolism, receptor signaling, and transport. Importantly, mice lacking an astrocytic adenosine transporter, ENT1 (equilibrative nucleoside transporter 1; Slc29a1), show no transition from habitual to goal-directed reward-seeking behaviors upon astrocyte activation, while restoring ENT1 expression in the DMS facilitated this transition. CONCLUSIONS Our findings reveal that DMS astrocyte activation differentially regulates MSNs' activity and facilitates shifting from habitual to goal-directed reward-seeking behavior.
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Friedman A, Hueske E, Drammis SM, Toro Arana SE, Nelson ED, Carter CW, Delcasso S, Rodriguez RX, Lutwak H, DiMarco KS, Zhang Q, Rakocevic LI, Hu D, Xiong JK, Zhao J, Gibb LG, Yoshida T, Siciliano CA, Diefenbach TJ, Ramakrishnan C, Deisseroth K, Graybiel AM. Striosomes Mediate Value-Based Learning Vulnerable in Age and a Huntington's Disease Model. Cell 2020; 183:918-934.e49. [PMID: 33113354 DOI: 10.1016/j.cell.2020.09.060] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 07/10/2020] [Accepted: 09/24/2020] [Indexed: 12/21/2022]
Abstract
Learning valence-based responses to favorable and unfavorable options requires judgments of the relative value of the options, a process necessary for species survival. We found, using engineered mice, that circuit connectivity and function of the striosome compartment of the striatum are critical for this type of learning. Calcium imaging during valence-based learning exhibited a selective correlation between learning and striosomal but not matrix signals. This striosomal activity encoded discrimination learning and was correlated with task engagement, which, in turn, could be regulated by chemogenetic excitation and inhibition. Striosomal function during discrimination learning was disturbed with aging and severely so in a mouse model of Huntington's disease. Anatomical and functional connectivity of parvalbumin-positive, putative fast-spiking interneurons (FSIs) to striatal projection neurons was enhanced in striosomes compared with matrix in mice that learned. Computational modeling of these findings suggests that FSIs can modulate the striosomal signal-to-noise ratio, crucial for discrimination and learning.
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Affiliation(s)
- Alexander Friedman
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Emily Hueske
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Sabrina M Drammis
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Sebastian E Toro Arana
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Erik D Nelson
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Cody W Carter
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Sebastien Delcasso
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Raimundo X Rodriguez
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Hope Lutwak
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Kaden S DiMarco
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Qingyang Zhang
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Lara I Rakocevic
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Dan Hu
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Joshua K Xiong
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Jiajia Zhao
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Leif G Gibb
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Tomoko Yoshida
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Cody A Siciliano
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | | | - Charu Ramakrishnan
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Karl Deisseroth
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Ann M Graybiel
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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63
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Grillner S, Robertson B, Kotaleski JH. Basal Ganglia—A Motion Perspective. Compr Physiol 2020; 10:1241-1275. [DOI: 10.1002/cphy.c190045] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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64
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Intrinsic electrophysiological properties predict variability in morphology and connectivity among striatal Parvalbumin-expressing Pthlh-cells. Sci Rep 2020; 10:15680. [PMID: 32973206 PMCID: PMC7518419 DOI: 10.1038/s41598-020-72588-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 09/02/2020] [Indexed: 12/27/2022] Open
Abstract
Determining the cellular content of the nervous system in terms of cell types and the rules of their connectivity represents a fundamental challenge to the neurosciences. The recent advent of high-throughput techniques, such as single-cell RNA-sequencing has allowed for greater resolution in the identification of cell types and/or states. Although most of the current neuronal classification schemes comprise discrete clusters, several recent studies have suggested that, perhaps especially, within the striatum, neuronal populations exist in continua, with regards to both their molecular and electrophysiological properties. Whether these continua are stable properties, established during development, or if they reflect acute differences in activity-dependent regulation of critical genes is currently unknown. We set out to determine whether gradient-like molecular differences in the recently described Pthlh-expressing inhibitory interneuron population, which contains the Pvalb-expressing cells, correlate with differences in morphological and connectivity properties. We show that morphology and long-range inputs correlate with a spatially organized molecular and electrophysiological gradient of Pthlh-interneurons, suggesting that the processing of different types of information (by distinct anatomical striatal regions) has different computational requirements.
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Cell Type-Specific Transcriptomics Reveals that Mutant Huntingtin Leads to Mitochondrial RNA Release and Neuronal Innate Immune Activation. Neuron 2020; 107:891-908.e8. [PMID: 32681824 DOI: 10.1016/j.neuron.2020.06.021] [Citation(s) in RCA: 123] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 04/07/2020] [Accepted: 06/22/2020] [Indexed: 12/22/2022]
Abstract
The mechanisms by which mutant huntingtin (mHTT) leads to neuronal cell death in Huntington's disease (HD) are not fully understood. To gain new molecular insights, we used single nuclear RNA sequencing (snRNA-seq) and translating ribosome affinity purification (TRAP) to conduct transcriptomic analyses of caudate/putamen (striatal) cell type-specific gene expression changes in human HD and mouse models of HD. In striatal spiny projection neurons, the most vulnerable cell type in HD, we observe a release of mitochondrial RNA (mtRNA) (a potent mitochondrial-derived innate immunogen) and a concomitant upregulation of innate immune signaling in spiny projection neurons. Further, we observe that the released mtRNAs can directly bind to the innate immune sensor protein kinase R (PKR). We highlight the importance of studying cell type-specific gene expression dysregulation in HD pathogenesis and reveal that the activation of innate immune signaling in the most vulnerable HD neurons provides a novel framework to understand the basis of mHTT toxicity and raises new therapeutic opportunities.
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66
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Matsushima A, Graybiel AM. Combinatorial Developmental Controls on Striatonigral Circuits. Cell Rep 2020; 31:107778. [PMID: 32553154 PMCID: PMC7433760 DOI: 10.1016/j.celrep.2020.107778] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Revised: 02/12/2020] [Accepted: 05/27/2020] [Indexed: 11/17/2022] Open
Abstract
Cortical pyramidal cells are generated locally, from pre-programmed progenitors, to form functionally distinct areas. By contrast, striatal projection neurons (SPNs) are generated remotely from a common source, undergo migration to form mosaics of striosomes and matrix, and become incorporated into functionally distinct sectors. Striatal circuits might thus have a unique logic of developmental organization, distinct from those of the neocortex. We explore this possibility in mice by mapping one set of SPNs, those in striosomes, with striatonigral projections to the dopamine-containing substantia nigra pars compacta (SNpc). Same-age SPNs exhibit topographic striatonigral projections, according to their resident sector. However, the different birth dates of resident SPNs within a given sector specify the destination of their axons within the SNpc. These findings highlight a logic intercalating birth date-dependent and birth date-independent factors in determining the trajectories of SPN axons and organizing specialized units of striatonigral circuitry that could influence behavioral expression and vulnerabilities to disease.
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Affiliation(s)
- Ayano Matsushima
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 20139, USA
| | - Ann M Graybiel
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 20139, USA.
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67
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Wertz MH, Pineda SS, Lee H, Kulicke R, Kellis M, Heiman M. Interleukin-6 deficiency exacerbates Huntington's disease model phenotypes. Mol Neurodegener 2020; 15:29. [PMID: 32448329 PMCID: PMC7247164 DOI: 10.1186/s13024-020-00379-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Accepted: 05/13/2020] [Indexed: 01/04/2023] Open
Abstract
Huntington’s disease (HD) is an incurable neurodegenerative disorder caused by CAG trinucleotide expansions in the huntingtin gene. Markers of both systemic and CNS immune activation and inflammation have been widely noted in HD and mouse models of HD. In particular, elevation of the pro-inflammatory cytokine interleukin-6 (IL-6) is the earliest reported marker of immune activation in HD, and this elevation has been suggested to contribute to HD pathogenesis. To test the hypothesis that IL-6 deficiency would be protective against the effects of mutant huntingtin, we generated R6/2 HD model mice that lacked IL-6. Contrary to our prediction, IL-6 deficiency exacerbated HD-model associated behavioral phenotypes. Single nuclear RNA Sequencing (snRNA-seq) analysis of striatal cell types revealed that IL-6 deficiency led to the dysregulation of various genes associated with synaptic function, as well as the BDNF receptor Ntrk2. These data suggest that IL-6 deficiency exacerbates the effects of mutant huntingtin through dysregulation of genes of known relevance to HD pathobiology in striatal neurons, and further suggest that modulation of IL-6 to a level that promotes proper regulation of genes associated with synaptic function may hold promise as an HD therapeutic target.
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Affiliation(s)
- Mary H Wertz
- Picower Institute for Learning and Memory, Cambridge, MA, 02139, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - S Sebastian Pineda
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, 02139, USA.,Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, 02139, USA
| | - Hyeseung Lee
- Picower Institute for Learning and Memory, Cambridge, MA, 02139, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Ruth Kulicke
- Picower Institute for Learning and Memory, Cambridge, MA, 02139, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Manolis Kellis
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, 02139, USA.,Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, 02139, USA
| | - Myriam Heiman
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, 02139, USA. .,Picower Institute for Learning and Memory, Cambridge, MA, 02139, USA. .,Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
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68
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Hjorth JJJ, Kozlov A, Carannante I, Frost Nylén J, Lindroos R, Johansson Y, Tokarska A, Dorst MC, Suryanarayana SM, Silberberg G, Hellgren Kotaleski J, Grillner S. The microcircuits of striatum in silico. Proc Natl Acad Sci U S A 2020; 117:9554-9565. [PMID: 32321828 PMCID: PMC7197017 DOI: 10.1073/pnas.2000671117] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
The basal ganglia play an important role in decision making and selection of action primarily based on input from cortex, thalamus, and the dopamine system. Their main input structure, striatum, is central to this process. It consists of two types of projection neurons, together representing 95% of the neurons, and 5% of interneurons, among which are the cholinergic, fast-spiking, and low threshold-spiking subtypes. The membrane properties, soma-dendritic shape, and intrastriatal and extrastriatal synaptic interactions of these neurons are quite well described in the mouse, and therefore they can be simulated in sufficient detail to capture their intrinsic properties, as well as the connectivity. We focus on simulation at the striatal cellular/microcircuit level, in which the molecular/subcellular and systems levels meet. We present a nearly full-scale model of the mouse striatum using available data on synaptic connectivity, cellular morphology, and electrophysiological properties to create a microcircuit mimicking the real network. A striatal volume is populated with reconstructed neuronal morphologies with appropriate cell densities, and then we connect neurons together based on appositions between neurites as possible synapses and constrain them further with available connectivity data. Moreover, we simulate a subset of the striatum involving 10,000 neurons, with input from cortex, thalamus, and the dopamine system, as a proof of principle. Simulation at this biological scale should serve as an invaluable tool to understand the mode of operation of this complex structure. This platform will be updated with new data and expanded to simulate the entire striatum.
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Affiliation(s)
- J J Johannes Hjorth
- Science for Life Laboratory, School of Electrical Engeneering and Computer Science, Royal Institute of Technology, SE-10044 Stockholm, Sweden
| | - Alexander Kozlov
- Science for Life Laboratory, School of Electrical Engeneering and Computer Science, Royal Institute of Technology, SE-10044 Stockholm, Sweden
- Department of Neuroscience, Karolinska Institutet, SE-17165 Stockholm
| | - Ilaria Carannante
- Science for Life Laboratory, School of Electrical Engeneering and Computer Science, Royal Institute of Technology, SE-10044 Stockholm, Sweden
| | | | - Robert Lindroos
- Department of Neuroscience, Karolinska Institutet, SE-17165 Stockholm
| | - Yvonne Johansson
- Department of Neuroscience, Karolinska Institutet, SE-17165 Stockholm
| | - Anna Tokarska
- Department of Neuroscience, Karolinska Institutet, SE-17165 Stockholm
| | - Matthijs C Dorst
- Department of Neuroscience, Karolinska Institutet, SE-17165 Stockholm
| | | | - Gilad Silberberg
- Department of Neuroscience, Karolinska Institutet, SE-17165 Stockholm
| | - Jeanette Hellgren Kotaleski
- Science for Life Laboratory, School of Electrical Engeneering and Computer Science, Royal Institute of Technology, SE-10044 Stockholm, Sweden;
- Department of Neuroscience, Karolinska Institutet, SE-17165 Stockholm
| | - Sten Grillner
- Department of Neuroscience, Karolinska Institutet, SE-17165 Stockholm
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