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Eastburn DJ, White KS, Jayne ND, Camiolo S, Montis G, Ha S, Watson KG, Yeakley JM, McComb J, Seligmann B. High-throughput gene expression analysis with TempO-LINC sensitively resolves complex brain, lung and kidney heterogeneity at single-cell resolution. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.03.606484. [PMID: 39149288 PMCID: PMC11326174 DOI: 10.1101/2024.08.03.606484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
We report the development and performance of a novel genomics platform, TempO-LINC, for conducting high-throughput transcriptomic analysis on single cells and nuclei. TempO-LINC works by adding cell-identifying molecular barcodes onto highly selective and high-sensitivity gene expression probes within fixed cells, without having to first generate cDNA. Using an instrument-free combinatorial-indexing approach, all probes within the same fixed cell receive an identical barcode, enabling the reconstruction of single-cell gene expression profiles across as few as several hundred cells and up to 100,000+ cells per run. The TempO-LINC approach is easily scalable based on the number of barcodes and rounds of barcoding performed; however, for the experiments reported in this study, the assay utilized over 5.3 million unique barcodes. TempO-LINC has a robust protocol for fixing and banking cells and displays high-sensitivity gene detection from multiple diverse sample types. We show that TempO-LINC has an observed multiplet rate of less than 1.1% and a cell capture rate of ~50%. Although the assay can accurately profile the whole transcriptome (19,683 human or 21,400 mouse genes), it can be targeted to measure only actionable/informative genes and molecular pathways of interest - thereby reducing sequencing requirements. In this study, we applied TempO-LINC to profile the transcriptomes of 89,722 cells across multiple sample types, including nuclei from mouse lung, kidney and brain tissues. The data demonstrated the ability to identify and annotate at least 50 unique cell populations and positively correlate expression of cell type-specific molecular markers within them. TempO-LINC is a robust new single-cell technology that is ideal for large-scale applications/studies across thousands of samples with high data quality.
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2
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Reiner BC, Chehimi SN, Merkel R, Toikumo S, Berrettini WH, Kranzler HR, Sanchez-Roige S, Kember RL, Schmidt HD, Crist RC. A single-nucleus transcriptomic atlas of medium spiny neurons in the rat nucleus accumbens. Sci Rep 2024; 14:18258. [PMID: 39107568 PMCID: PMC11303397 DOI: 10.1038/s41598-024-69255-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Accepted: 08/02/2024] [Indexed: 08/10/2024] Open
Abstract
Neural processing of rewarding stimuli involves several distinct regions, including the nucleus accumbens (NAc). The majority of NAc neurons are GABAergic projection neurons known as medium spiny neurons (MSNs). MSNs are broadly defined by dopamine receptor expression, but evidence suggests that a wider array of subtypes exist. To study MSN heterogeneity, we analyzed single-nucleus RNA sequencing data from the largest available rat NAc dataset. Analysis of 48,040 NAc MSN nuclei identified major populations belonging to the striosome and matrix compartments. Integration with mouse and human data indicated consistency across species and disease-relevance scoring using genome-wide association study results revealed potentially differential roles for MSN populations in substance use disorders. Additional high-resolution clustering identified 34 transcriptomically distinct subtypes of MSNs definable by a limited number of marker genes. Together, these data demonstrate the diversity of MSNs in the NAc and provide a basis for more targeted genetic manipulation of specific populations.
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Affiliation(s)
- Benjamin C Reiner
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Samar N Chehimi
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Riley Merkel
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biobehavioral Health Sciences, School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
| | - Sylvanus Toikumo
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Wade H Berrettini
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Henry R Kranzler
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA
| | - Sandra Sanchez-Roige
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Institute for Genomic Medicine, University of California San Diego, San Diego, CA, USA
| | - Rachel L Kember
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA
| | - Heath D Schmidt
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biobehavioral Health Sciences, School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
| | - Richard C Crist
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 125 South 31st Street, Room 2207, Philadelphia, PA, 19104, USA.
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3
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Green N, Gao H, Chu X, Yuan Q, McGuire P, Lai D, Jiang G, Xuei X, Reiter J, Stevens J, Sutherland G, Goate A, Pang Z, Slesinger P, Hart RP, Tischfield JA, Agrawal A, Wang Y, Duren Z, Edenberg HJ, Liu Y. Integrated Single-Cell Multiomic Profiling of Caudate Nucleus Suggests Key Mechanisms in Alcohol Use Disorder. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.02.606355. [PMID: 39149227 PMCID: PMC11326171 DOI: 10.1101/2024.08.02.606355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Alcohol use disorder (AUD) is likely associated with complex transcriptional alterations in addiction-relevant brain regions. We characterize AUD-associated differences in cell type-specific gene expression and chromatin accessibility in the caudate nucleus by conducting a single-nucleus RNA-seq assay and a single-nucleus RNA-seq + ATAC-seq (multiome) assay on caudate tissue from 143 human postmortem brains (74 with AUD). We identified 17 cell types. AUD was associated with a higher proportion of microglia in an activated state and more astrocytes in a reactive state. There was widespread evidence for differentially expressed genes across cell types with the most identified in oligodendrocytes and astrocytes, including genes involved in immune response and synaptic regulation, many of which appeared to be regulated in part by JUND and OLIG2. Microglia-astrocyte communication via interleukin-1 beta, and microglia-astrocyte-oligodendrocyte interaction via transforming growth factor beta 1 were increased in individuals with AUD. Expression quantitative trait loci analysis revealed potential driver genes of AUD, including ADAL, that may protect against AUD in medium spiny neurons and interneurons. This work provides a thorough profile of the effects of AUD in the human brain and identifies several promising genes for further study.
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Affiliation(s)
- Nick Green
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, Indiana, 46202, United States
| | - Hongyu Gao
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, Indiana, 46202, United States
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, 46202, United States
| | - Xiaona Chu
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, Indiana, 46202, United States
| | - Quiyue Yuan
- Clemson University, Department of Genetics and Biochemistry, Greenwood, SC 29646, United States
| | - Patrick McGuire
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, Indiana, 46202, United States
| | - Dongbing Lai
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, Indiana, 46202, United States
| | - Guanglong Jiang
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, Indiana, 46202, United States
| | - Xiaoling Xuei
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, Indiana, 46202, United States
| | - Jill Reiter
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, Indiana, 46202, United States
| | - Julia Stevens
- New South Wales Brain Tissue Research Centre, Charles Perkins Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
| | - Greg Sutherland
- New South Wales Brain Tissue Research Centre, Charles Perkins Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
| | - Alison Goate
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
- Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Zhiping Pang
- Human Genetics Institute, Rutgers University, Piscataway, New Jersey 08854, United States
- Department of Neuroscience and Cell Biology and The Child Health Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey 08901, United States
| | - Paul Slesinger
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Ronald P Hart
- Human Genetics Institute, Rutgers University, Piscataway, New Jersey 08854, United States
- Department of Cell Biology & Neuroscience, Rutgers University, Piscataway, New Jersey 08854, United States
| | - Jay A Tischfield
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri, United States
| | - Yue Wang
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, Indiana, 46202, United States
| | - Zhana Duren
- Clemson University, Department of Genetics and Biochemistry, Greenwood, SC 29646, United States
| | - Howard J Edenberg
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, Indiana, 46202, United States
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana 46202, United States
| | - Yunlong Liu
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, Indiana, 46202, United States
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, 46202, United States
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Ament SA, Campbell RR, Lobo MK, Receveur JP, Agrawal K, Borjabad A, Byrareddy SN, Chang L, Clarke D, Emani P, Gabuzda D, Gaulton KJ, Giglio M, Giorgi FM, Gok B, Guda C, Hadas E, Herb BR, Hu W, Huttner A, Ishmam MR, Jacobs MM, Kelschenbach J, Kim DW, Lee C, Liu S, Liu X, Madras BK, Mahurkar AA, Mash DC, Mukamel EA, Niu M, O'Connor RM, Pagan CM, Pang APS, Pillai P, Repunte-Canonigo V, Ruzicka WB, Stanley J, Tickle T, Tsai SYA, Wang A, Wills L, Wilson AM, Wright SN, Xu S, Yang J, Zand M, Zhang L, Zhang J, Akbarian S, Buch S, Cheng CS, Corley MJ, Fox HS, Gerstein M, Gummuluru S, Heiman M, Ho YC, Kellis M, Kenny PJ, Kluger Y, Milner TA, Moore DJ, Morgello S, Ndhlovu LC, Rana TM, Sanna PP, Satterlee JS, Sestan N, Spector SA, Spudich S, Tilgner HU, Volsky DJ, White OR, Williams DW, Zeng H. The single-cell opioid responses in the context of HIV (SCORCH) consortium. Mol Psychiatry 2024:10.1038/s41380-024-02620-7. [PMID: 38879719 DOI: 10.1038/s41380-024-02620-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 05/12/2024] [Accepted: 05/17/2024] [Indexed: 06/19/2024]
Abstract
Substance use disorders (SUD) and drug addiction are major threats to public health, impacting not only the millions of individuals struggling with SUD, but also surrounding families and communities. One of the seminal challenges in treating and studying addiction in human populations is the high prevalence of co-morbid conditions, including an increased risk of contracting a human immunodeficiency virus (HIV) infection. Of the ~15 million people who inject drugs globally, 17% are persons with HIV. Conversely, HIV is a risk factor for SUD because chronic pain syndromes, often encountered in persons with HIV, can lead to an increased use of opioid pain medications that in turn can increase the risk for opioid addiction. We hypothesize that SUD and HIV exert shared effects on brain cell types, including adaptations related to neuroplasticity, neurodegeneration, and neuroinflammation. Basic research is needed to refine our understanding of these affected cell types and adaptations. Studying the effects of SUD in the context of HIV at the single-cell level represents a compelling strategy to understand the reciprocal interactions among both conditions, made feasible by the availability of large, extensively-phenotyped human brain tissue collections that have been amassed by the Neuro-HIV research community. In addition, sophisticated animal models that have been developed for both conditions provide a means to precisely evaluate specific exposures and stages of disease. We propose that single-cell genomics is a uniquely powerful technology to characterize the effects of SUD and HIV in the brain, integrating data from human cohorts and animal models. We have formed the Single-Cell Opioid Responses in the Context of HIV (SCORCH) consortium to carry out this strategy.
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Affiliation(s)
- Seth A Ament
- University of Maryland School of Medicine, Baltimore, MD, USA.
| | | | - Mary Kay Lobo
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | | | | | | | - Linda Chang
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | | | - Dana Gabuzda
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | | | - Michelle Giglio
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | | | | | - Eran Hadas
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brian R Herb
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - Wen Hu
- Weill Cornell Medicine, New York, NY, USA
| | | | | | | | | | | | - Cheyu Lee
- University of California Irvine, Irvine, CA, USA
| | - Shuhui Liu
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Xiaokun Liu
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Anup A Mahurkar
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | | | - Meng Niu
- University of Nebraska Medical Center, Omaha, NE, USA
| | | | | | | | - Piya Pillai
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - W Brad Ruzicka
- McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | | | | | | | - Allen Wang
- University of California San Diego, La Jolla, CA, USA
| | - Lauren Wills
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | - Siwei Xu
- University of California Irvine, Irvine, CA, USA
| | | | - Maryam Zand
- University of California San Diego, La Jolla, CA, USA
| | - Le Zhang
- Yale School of Medicine, New Haven, CT, USA
| | - Jing Zhang
- University of California Irvine, Irvine, CA, USA
| | | | - Shilpa Buch
- University of Nebraska Medical Center, Omaha, NE, USA
| | | | | | - Howard S Fox
- University of Nebraska Medical Center, Omaha, NE, USA
| | | | | | - Myriam Heiman
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ya-Chi Ho
- Yale School of Medicine, New Haven, CT, USA
| | - Manolis Kellis
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Paul J Kenny
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | - David J Moore
- University of California San Diego, La Jolla, CA, USA
| | - Susan Morgello
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Tariq M Rana
- University of California San Diego, La Jolla, CA, USA
| | | | | | | | | | | | | | - David J Volsky
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Owen R White
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, USA
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5
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Andraka E, Phillips RA, Brida KL, Day JJ. Chst9 marks a spatially and transcriptionally unique population of Oprm1-expressing neurons in the nucleus accumbens. ADDICTION NEUROSCIENCE 2024; 11:100153. [PMID: 38957401 PMCID: PMC11218735 DOI: 10.1016/j.addicn.2024.100153] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/04/2024]
Abstract
Opioids produce addictive, analgesic, and euphoric effects via actions at mu opioid receptors (μORs). The μOR is encoded by the Oprm1 gene and is expressed in multiple brain regions that regulate reward and motivation, such as the nucleus accumbens (NAc). Oprm1 expression in NAc medium spiny neurons (MSNs) mediates opioid place preference, seeking, and consumption. However, recent single nucleus RNA sequencing (snRNA-seq) studies have revealed that multiple subpopulations of NAc neurons express Oprm1 mRNA, making it unclear which populations mediate diverse behaviors resulting from μOR activation. Using published snRNA-seq datasets from the rat NAc, we identified a novel population of MSNs that express the highest levels of Oprm1 of any NAc cell type. Here, we show that this population is selectively marked by expression of Chst9, a gene encoding a carbohydrate sulfotransferase. Notably, Chst9+ neurons exhibited more abundant expression of Oprm1 as compared to other cell types, and formed discrete cellular clusters along the medial and ventral borders of the NAc shell subregion. Moreover, CHST9 mRNA was also found to mark specific MSN populations in published human and primate snRNA-seq studies, indicating that this unique population may be conserved across species. Together, these results identify a spatially and transcriptionally distinct NAc neuron population characterized by the expression of Chst9. The abundant expression of Oprm1 in this population and the conservation of these cells across species suggests that they may play a key functional role in opioid response and identify this subpopulation as a target for further investigation.
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Affiliation(s)
- Emma Andraka
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Robert A. Phillips
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Kasey L. Brida
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Jeremy J. Day
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
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6
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Reiner BC, Chehimi SN, Merkel R, Toikumo S, Berrettini WH, Kranzler HR, Sanchez-Roige S, Kember RL, Schmidt HD, Crist RC. A single-nucleus transcriptomic atlas of medium spiny neurons in the rat nucleus accumbens. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.26.595949. [PMID: 38826289 PMCID: PMC11142250 DOI: 10.1101/2024.05.26.595949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Neural processing of rewarding stimuli involves several distinct regions, including the nucleus accumbens (NAc). The majority of NAc neurons are GABAergic projection neurons known as medium spiny neurons (MSNs). MSNs are broadly defined by dopamine receptor expression, but evidence suggests that a wider array of subtypes exist. To study MSN heterogeneity, we analyzed single-nucleus RNA sequencing data from the largest available rat NAc dataset. Analysis of 48,040 NAc MSN nuclei identified major populations belonging to the striosome and matrix compartments. Integration with mouse and human data indicated consistency across species and disease-relevance scoring using genome-wide association study results revealed potentially differential roles for MSN populations in substance use disorders. Additional high-resolution clustering identified 34 transcriptomically distinct subtypes of MSNs definable by a limited number of marker genes. Together, these data demonstrate the diversity of MSNs in the NAc and provide a basis for more targeted genetic manipulation of specific populations.
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7
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Phillips RA, Oh S, Bach SV, Du Y, Miller RA, Kleinman JE, Hyde TM, Hicks SC, Page SC, Martinowich K. Transcriptomic characterization of human lateral septum neurons reveals conserved and divergent marker genes across species. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.22.590602. [PMID: 38712125 PMCID: PMC11071425 DOI: 10.1101/2024.04.22.590602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
The lateral septum (LS) is a midline, subcortical structure, which regulates social behaviors that are frequently impaired in neurodevelopmental disorders including schizophrenia and autism spectrum disorder. Mouse studies have identified neuronal populations within the LS that express a variety of molecular markers, including vasopressin receptor, oxytocin receptor, and corticotropin releasing hormone receptor, that control specific facets of social behavior. Despite its critical role in the regulation of social behavior and notable gene expression patterns, comprehensive molecular profiling of the human LS has not been performed. Here, we conducted single nucleus RNA-sequencing (snRNA-seq) to generate the first transcriptomic profiles of the human LS using postmortem human brain tissue samples from 3 neurotypical donors. Our analysis identified 4 transcriptionally distinct neuronal cell types within the human LS that are enriched for TRPC4, the gene encoding Trp-related protein 4. Differential expression analysis revealed a distinct LS neuronal cell type that is enriched for OPRM1, the gene encoding the μ-opioid receptor. Leveraging recently collected mouse LS snRNA-seq datasets, we also conducted a cross-species analysis. Our results demonstrate that TRPC4 enrichment in the LS is highly conserved between human and mouse, while FREM2, which encodes FRAS1 related extracellular matrix protein 2, is enriched only in the human LS. Together, these results highlight transcriptional heterogeneity of the human LS, and identify robust marker genes for the human LS.
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Affiliation(s)
- Robert A. Phillips
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
| | - Seyun Oh
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
| | - Svitlana V. Bach
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
| | - Yufeng Du
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
| | - Ryan A. Miller
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
| | - Joel E. Kleinman
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Thomas M. Hyde
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Stephanie C. Hicks
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
- Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA
- Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, MD, USA
| | - Stephanie C. Page
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Keri Martinowich
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- The Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD, 21205, USA
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8
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Tan B, Browne CJ, Nöbauer T, Vaziri A, Friedman JM, Nestler EJ. Drugs of abuse hijack a mesolimbic pathway that processes homeostatic need. Science 2024; 384:eadk6742. [PMID: 38669575 PMCID: PMC11077477 DOI: 10.1126/science.adk6742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 02/26/2024] [Indexed: 04/28/2024]
Abstract
Drugs of abuse are thought to promote addiction in part by "hijacking" brain reward systems, but the underlying mechanisms remain undefined. Using whole-brain FOS mapping and in vivo single-neuron calcium imaging, we found that drugs of abuse augment dopaminoceptive ensemble activity in the nucleus accumbens (NAc) and disorganize overlapping ensemble responses to natural rewards in a cell type-specific manner. Combining FOS-Seq, CRISPR-perturbation, and single-nucleus RNA sequencing, we identified Rheb as a molecular substrate that regulates cell type-specific signal transduction in NAc while enabling drugs to suppress natural reward consumption. Mapping NAc-projecting regions activated by drugs of abuse revealed input-specific effects on natural reward consumption. These findings characterize the dynamic, molecular and circuit basis of a common reward pathway, wherein drugs of abuse interfere with the fulfillment of innate needs.
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Affiliation(s)
- Bowen Tan
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University; New York, NY 10065, USA
| | - Caleb J. Browne
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health; Toronto, ON, M5T 1R8, Canada
| | - Tobias Nöbauer
- Laboratory of Neurotechnology and Biophysics, The Rockefeller University; New York, NY 10065, USA
| | - Alipasha Vaziri
- Laboratory of Neurotechnology and Biophysics, The Rockefeller University; New York, NY 10065, USA
- The Kavli Neural Systems Institute, The Rockefeller University; New York, NY 10065, USA
| | - Jeffrey M. Friedman
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University; New York, NY 10065, USA
| | - Eric J. Nestler
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai; New York, NY 10029, USA
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9
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Wirthlin ME, Schmid TA, Elie JE, Zhang X, Kowalczyk A, Redlich R, Shvareva VA, Rakuljic A, Ji MB, Bhat NS, Kaplow IM, Schäffer DE, Lawler AJ, Wang AZ, Phan BN, Annaldasula S, Brown AR, Lu T, Lim BK, Azim E, Clark NL, Meyer WK, Pond SLK, Chikina M, Yartsev MM, Pfenning AR. Vocal learning-associated convergent evolution in mammalian proteins and regulatory elements. Science 2024; 383:eabn3263. [PMID: 38422184 PMCID: PMC11313673 DOI: 10.1126/science.abn3263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/20/2024] [Indexed: 03/02/2024]
Abstract
Vocal production learning ("vocal learning") is a convergently evolved trait in vertebrates. To identify brain genomic elements associated with mammalian vocal learning, we integrated genomic, anatomical, and neurophysiological data from the Egyptian fruit bat (Rousettus aegyptiacus) with analyses of the genomes of 215 placental mammals. First, we identified a set of proteins evolving more slowly in vocal learners. Then, we discovered a vocal motor cortical region in the Egyptian fruit bat, an emergent vocal learner, and leveraged that knowledge to identify active cis-regulatory elements in the motor cortex of vocal learners. Machine learning methods applied to motor cortex open chromatin revealed 50 enhancers robustly associated with vocal learning whose activity tended to be lower in vocal learners. Our research implicates convergent losses of motor cortex regulatory elements in mammalian vocal learning evolution.
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Affiliation(s)
- Morgan E. Wirthlin
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Tobias A. Schmid
- Helen Wills Neuroscience Institute, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Julie E. Elie
- Helen Wills Neuroscience Institute, University of California, Berkeley; Berkeley, CA 94708, USA
- Department of Bioengineering, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Xiaomeng Zhang
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Amanda Kowalczyk
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Ruby Redlich
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Varvara A. Shvareva
- Department of Molecular and Cell Biology, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Ashley Rakuljic
- Department of Molecular and Cell Biology, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Maria B. Ji
- Department of Psychology, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Ninad S. Bhat
- Department of Molecular and Cell Biology, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Irene M. Kaplow
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Daniel E. Schäffer
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Alyssa J. Lawler
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
- Department of Biological Sciences, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Andrew Z. Wang
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - BaDoi N. Phan
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Siddharth Annaldasula
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Ashley R. Brown
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
- Present address: Department of Biomedical Engineering, Duke University; Durham, NC 27705
| | - Tianyu Lu
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
| | - Byung Kook Lim
- Neurobiology section, Division of Biological Science, University of California, San Diego; La Jolla, CA 92093, USA
| | - Eiman Azim
- Molecular Neurobiology Laboratory, Salk Institute for Biological Studies; La Jolla, CA 92037, USA
| | - Nathan L. Clark
- Department of Biological Sciences, University of Pittsburgh; Pittsburgh, PA 15213, USA
| | - Wynn K. Meyer
- Department of Biological Sciences, Lehigh University; Bethlehem, PA 18015, USA
| | | | - Maria Chikina
- Department of Computational and Systems Biology, University of Pittsburgh; Pittsburgh, PA 15213, USA
| | - Michael M. Yartsev
- Helen Wills Neuroscience Institute, University of California, Berkeley; Berkeley, CA 94708, USA
- Department of Bioengineering, University of California, Berkeley; Berkeley, CA 94708, USA
| | - Andreas R. Pfenning
- Department of Computational Biology, Carnegie Mellon University; Pittsburgh, PA 15213, USA
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10
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Burton CL, Longaretti A, Zlatanovic A, Gomes GM, Tonini R. Striatal insights: a cellular and molecular perspective on repetitive behaviors in pathology. Front Cell Neurosci 2024; 18:1386715. [PMID: 38601025 PMCID: PMC11004256 DOI: 10.3389/fncel.2024.1386715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 03/15/2024] [Indexed: 04/12/2024] Open
Abstract
Animals often behave repetitively and predictably. These repetitive behaviors can have a component that is learned and ingrained as habits, which can be evolutionarily advantageous as they reduce cognitive load and the expenditure of attentional resources. Repetitive behaviors can also be conscious and deliberate, and may occur in the absence of habit formation, typically when they are a feature of normal development in children, or neuropsychiatric disorders. They can be considered pathological when they interfere with social relationships and daily activities. For instance, people affected by obsessive-compulsive disorder, autism spectrum disorder, Huntington's disease and Gilles de la Tourette syndrome can display a wide range of symptoms like compulsive, stereotyped and ritualistic behaviors. The striatum nucleus of the basal ganglia is proposed to act as a master regulator of these repetitive behaviors through its circuit connections with sensorimotor, associative, and limbic areas of the cortex. However, the precise mechanisms within the striatum, detailing its compartmental organization, cellular specificity, and the intricacies of its downstream connections, remain an area of active research. In this review, we summarize evidence across multiple scales, including circuit-level, cellular, and molecular dimensions, to elucidate the striatal mechanisms underpinning repetitive behaviors and offer perspectives on the implicated disorders. We consider the close relationship between behavioral output and transcriptional changes, and thereby structural and circuit alterations, including those occurring through epigenetic processes.
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Affiliation(s)
| | | | | | | | - Raffaella Tonini
- Neuromodulation of Cortical and Subcortical Circuits Laboratory, Istituto Italiano di Tecnologia, Genoa, Italy
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11
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Phan BN, Ray MH, Xue X, Fu C, Fenster RJ, Kohut SJ, Bergman J, Haber SN, McCullough KM, Fish MK, Glausier JR, Su Q, Tipton AE, Lewis DA, Freyberg Z, Tseng GC, Russek SJ, Alekseyev Y, Ressler KJ, Seney ML, Pfenning AR, Logan RW. Single nuclei transcriptomics in human and non-human primate striatum in opioid use disorder. Nat Commun 2024; 15:878. [PMID: 38296993 PMCID: PMC10831093 DOI: 10.1038/s41467-024-45165-7] [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: 08/07/2023] [Accepted: 01/12/2024] [Indexed: 02/02/2024] Open
Abstract
In brain, the striatum is a heterogenous region involved in reward and goal-directed behaviors. Striatal dysfunction is linked to psychiatric disorders, including opioid use disorder (OUD). Striatal subregions are divided based on neuroanatomy, each with unique roles in OUD. In OUD, the dorsal striatum is involved in altered reward processing, formation of habits, and development of negative affect during withdrawal. Using single nuclei RNA-sequencing, we identified both canonical (e.g., dopamine receptor subtype) and less abundant cell populations (e.g., interneurons) in human dorsal striatum. Pathways related to neurodegeneration, interferon response, and DNA damage were significantly enriched in striatal neurons of individuals with OUD. DNA damage markers were also elevated in striatal neurons of opioid-exposed rhesus macaques. Sex-specific molecular differences in glial cell subtypes associated with chronic stress were found in OUD, particularly female individuals. Together, we describe different cell types in human dorsal striatum and identify cell type-specific alterations in OUD.
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Affiliation(s)
- BaDoi N Phan
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
- Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
| | - Madelyn H Ray
- Department of Pharmacology, Physiology & Biophysics, Boston University School of Medicine, Boston, MA, 02118, USA
- Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Xiangning Xue
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Chen Fu
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
| | - Robert J Fenster
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Division of Depression and Anxiety, McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, 02478, USA
| | - Stephen J Kohut
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Behavioral Biology Program, McLean Hospital, Belmont, MA, 02478, USA
| | - Jack Bergman
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Behavioral Biology Program, McLean Hospital, Belmont, MA, 02478, USA
| | - Suzanne N Haber
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Department of Pharmacology and Physiology, University of Rochester, School of Medicine, Rochester, NY, 14642, USA
| | - Kenneth M McCullough
- Basic Neuroscience Division, Department of Psychiatry, Harvard Medical School, McLean Hospital, Belmont, MA, 02478, USA
| | - Madeline K Fish
- Center for Systems Neuroscience, Boston University, Boston, MA, 02118, USA
- Graduate Program for Neuroscience, Boston University, Boston, MA, 02118, USA
| | - Jill R Glausier
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15219, USA
| | - Qiao Su
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Allison E Tipton
- Center for Systems Neuroscience, Boston University, Boston, MA, 02118, USA
- Graduate Program for Neuroscience, Boston University, Boston, MA, 02118, USA
| | - David A Lewis
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15219, USA
| | - Zachary Freyberg
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15219, USA
- Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15219, USA
| | - George C Tseng
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Shelley J Russek
- Department of Pharmacology, Physiology & Biophysics, Boston University School of Medicine, Boston, MA, 02118, USA
- Center for Systems Neuroscience, Boston University, Boston, MA, 02118, USA
- Graduate Program for Neuroscience, Boston University, Boston, MA, 02118, USA
| | - Yuriy Alekseyev
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Kerry J Ressler
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Division of Depression and Anxiety, McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, 02478, USA
| | - Marianne L Seney
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15219, USA
| | - Andreas R Pfenning
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
| | - Ryan W Logan
- Department of Pharmacology, Physiology & Biophysics, Boston University School of Medicine, Boston, MA, 02118, USA.
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
- Department of Neurobiology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
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12
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Zhang Y, Ben Nathan J, Moreno A, Merkel R, Kahng MW, Hayes MR, Reiner BC, Crist RC, Schmidt HD. Calcitonin receptor signaling in nucleus accumbens D1R- and D2R-expressing medium spiny neurons bidirectionally alters opioid taking in male rats. Neuropsychopharmacology 2023; 48:1878-1888. [PMID: 37355732 PMCID: PMC10584857 DOI: 10.1038/s41386-023-01634-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 06/12/2023] [Accepted: 06/13/2023] [Indexed: 06/26/2023]
Abstract
The high rates of relapse associated with current medications used to treat opioid use disorder (OUD) necessitate research that expands our understanding of the neural mechanisms regulating opioid taking to identify molecular substrates that could be targeted by novel pharmacotherapies to treat OUD. Recent studies show that activation of calcitonin receptors (CTRs) is sufficient to reduce the rewarding effects of addictive drugs in rodents. However, the role of central CTR signaling in opioid-mediated behaviors has not been studied. Here, we used single nuclei RNA sequencing (snRNA-seq), fluorescent in situ hybridization (FISH), and immunohistochemistry (IHC) to characterize cell type-specific patterns of CTR expression in the nucleus accumbens (NAc), a brain region that plays a critical role in voluntary drug taking. Using these approaches, we identified CTRs expressed on D1R- and D2R-expressing medium spiny neurons (MSNs) in the medial shell subregion of the NAc. Interestingly, Calcr transcripts were expressed at higher levels in D2R- versus D1R-expressing MSNs. Cre-dependent viral-mediated miRNA knockdown of CTRs in transgenic male rats was then used to determine the functional significance of endogenous CTR signaling in opioid taking. We discovered that reduced CTR expression specifically in D1R-expressing MSNs potentiated/augmented opioid self-administration. In contrast, reduced CTR expression specifically in D2R-expressing MSNs attenuated opioid self-administration. These findings highlight a novel cell type-specific mechanism by which CTR signaling in the ventral striatum bidirectionally modulates voluntary opioid taking and support future studies aimed at targeting central CTR-expressing circuits to treat OUD.
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Affiliation(s)
- Yafang Zhang
- Department of Biobehavioral Health Sciences, School of Nursing, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Jennifer Ben Nathan
- Department of Biobehavioral Health Sciences, School of Nursing, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Amanda Moreno
- Department of Biobehavioral Health Sciences, School of Nursing, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Riley Merkel
- Department of Biobehavioral Health Sciences, School of Nursing, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Michelle W Kahng
- Department of Biobehavioral Health Sciences, School of Nursing, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Matthew R Hayes
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Benjamin C Reiner
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Richard C Crist
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Heath D Schmidt
- Department of Biobehavioral Health Sciences, School of Nursing, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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13
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Tang L, Xu N, Huang M, Yi W, Sang X, Shao M, Li Y, Hao ZZ, Liu R, Shen Y, Yue F, Liu X, Xu C, Liu S. A primate nigrostriatal atlas of neuronal vulnerability and resilience in a model of Parkinson's disease. Nat Commun 2023; 14:7497. [PMID: 37980356 PMCID: PMC10657376 DOI: 10.1038/s41467-023-43213-2] [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: 03/29/2023] [Accepted: 11/02/2023] [Indexed: 11/20/2023] Open
Abstract
The degenerative process in Parkinson's disease (PD) causes a progressive loss of dopaminergic neurons (DaNs) in the nigrostriatal system. Resolving the differences in neuronal susceptibility warrants an amenable PD model that, in comparison to post-mortem human specimens, controls for environmental and genetic differences in PD pathogenesis. Here we generated high-quality profiles for 250,173 cells from the substantia nigra (SN) and putamen (PT) of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced parkinsonian macaques and matched controls. Our primate model of parkinsonism recapitulates important pathologic features in nature PD and provides an unbiased view of the axis of neuronal vulnerability and resistance. We identified seven molecularly defined subtypes of nigral DaNs which manifested a gradient of vulnerability and were confirmed by fluorescence-activated nuclei sorting. Neuronal resilience was associated with a FOXP2-centered regulatory pathway shared between PD-resistant DaNs and glutamatergic excitatory neurons, as well as between humans and nonhuman primates. We also discovered activation of immune response common to glial cells of SN and PT, indicating concurrently activated pathways in the nigrostriatal system. Our study provides a unique resource to understand the mechanistic connections between neuronal susceptibility and PD pathophysiology, and to facilitate future biomarker discovery and targeted cell therapy.
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Affiliation(s)
- Lei Tang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Nana Xu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Mengyao Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Wei Yi
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Xuan Sang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Mingting Shao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Ye Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Zhao-Zhe Hao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Ruifeng Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Yuhui Shen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Feng Yue
- State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Haikou, 570228, China
- Key Laboratory of Biomedical Engineering of Hainan Province, One Health Institute, Hainan University, Haikou, 570228, China
| | - Xialin Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China.
| | - Chuan Xu
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
| | - Sheng Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China.
- Guangdong Province Key Laboratory of Brain Function and Disease, Guangzhou, China.
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14
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Zhou JL, de Guglielmo G, Ho AJ, Kallupi M, Pokhrel N, Li HR, Chitre AS, Munro D, Mohammadi P, Carrette LLG, George O, Palmer AA, McVicker G, Telese F. Single-nucleus genomics in outbred rats with divergent cocaine addiction-like behaviors reveals changes in amygdala GABAergic inhibition. Nat Neurosci 2023; 26:1868-1879. [PMID: 37798411 PMCID: PMC10620093 DOI: 10.1038/s41593-023-01452-y] [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: 09/03/2022] [Accepted: 09/06/2023] [Indexed: 10/07/2023]
Abstract
The amygdala processes positive and negative valence and contributes to addiction, but the cell-type-specific gene regulatory programs involved are unknown. We generated an atlas of single-nucleus gene expression and chromatin accessibility in the amygdala of outbred rats with high and low cocaine addiction-like behaviors following prolonged abstinence. Differentially expressed genes between the high and low groups were enriched for energy metabolism across cell types. Rats with high addiction index (AI) showed increased relapse-like behaviors and GABAergic transmission in the amygdala. Both phenotypes were reversed by pharmacological inhibition of the glyoxalase 1 enzyme, which metabolizes methylglyoxal-a GABAA receptor agonist produced by glycolysis. Differences in chromatin accessibility between high and low AI rats implicated pioneer transcription factors in the basic helix-loop-helix, FOX, SOX and activator protein 1 families. We observed opposite regulation of chromatin accessibility across many cell types. Most notably, excitatory neurons had greater accessibility in high AI rats and inhibitory neurons had greater accessibility in low AI rats.
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Affiliation(s)
- Jessica L Zhou
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
- Integrative Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | | | - Aaron J Ho
- Integrative Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Marsida Kallupi
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Narayan Pokhrel
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Hai-Ri Li
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Apurva S Chitre
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Daniel Munro
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Pejman Mohammadi
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
- Center for Immunity and Immunotherapies, Seattle Children's Research Institute, Seattle, WA, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Olivier George
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Abraham A Palmer
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Graham McVicker
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA.
- Integrative Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA.
| | - Francesca Telese
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.
- Department of Medicine, University of California San Diego, La Jolla, CA, USA.
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15
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Andraka E, Phillips RA, Brida KL, Day JJ. Chst9 Marks a Spatially and Transcriptionally Unique Population of Oprm1 -Expressing Neurons in the Nucleus Accumbens. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.16.562623. [PMID: 37904940 PMCID: PMC10614864 DOI: 10.1101/2023.10.16.562623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
Opioids produce addictive, analgesic, and euphoric effects via actions at mu opioid receptors (μORs). The μOR is encoded by the Oprm1 gene and is expressed in multiple brain regions that regulate reward and motivation, such as the nucleus accumbens (NAc). Oprm1 expression in NAc medium spiny neurons (MSNs) mediates opioid place preference, seeking, and consumption. However, recent single nucleus RNA sequencing (snRNA-seq) studies in rodent, primate, and human NAc have revealed that multiple subpopulations of NAc neurons express Oprm1 mRNA, making it unclear which populations mediate diverse behaviors resulting from μOR activation. Using published snRNA-seq datasets from the rat NAc, we identified a novel population of MSNs that express the highest levels of Oprm1 of any NAc cell type. Here, we show that this population is selectively marked by expression of Chst9 , a gene encoding a carbohydrate sulfotransferase. To validate this observation and characterize spatial localization of this population in the rat NAc, we performed multiplexed RNAscope fluorescence in situ hybridization studies to detect expression of Oprm1 and Chst9 mRNA along with well-validated markers of MSNs. Notably, Chst9 + neurons exhibited more abundant expression of Oprm1 as compared to other cell types, and formed discrete cellular clusters along the medial and ventral borders of the NAc shell subregion. Moreover, CHST9 mRNA was also found to mark specific MSN populations in published human and primate snRNA-seq studies, indicating that this unique population may be conserved across species. Together, these results identify a spatially and transcriptionally distinct NAc neuron population characterized by the expression of Chst9 . The abundant expression of Oprm1 in this population and the conservation of these cells across species suggests that they may play a key functional role in opioid response and identify this subpopulation as a target for further investigation.
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16
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Tan B, Browne CJ, Nöbauer T, Vaziri A, Friedman JM, Nestler EJ. Drugs of abuse hijack a mesolimbic pathway that processes homeostatic need. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.03.556059. [PMID: 37732251 PMCID: PMC10508763 DOI: 10.1101/2023.09.03.556059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
Addiction prioritizes drug use over innate needs by "hijacking" brain circuits that direct motivation, but how this develops remains unclear. Using whole-brain FOS mapping and in vivo single-neuron calcium imaging, we find that drugs of abuse augment ensemble activity in the nucleus accumbens (NAc) and disorganize overlapping ensemble responses to natural rewards in a cell-type-specific manner. Combining "FOS-Seq", CRISPR-perturbations, and snRNA-seq, we identify Rheb as a shared molecular substrate that regulates cell-type-specific signal transductions in NAc while enabling drugs to suppress natural reward responses. Retrograde circuit mapping pinpoints orbitofrontal cortex which, upon activation, mirrors drug effects on innate needs. These findings deconstruct the dynamic, molecular, and circuit basis of a common reward circuit, wherein drug value is scaled to promote drug-seeking over other, normative goals.
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Affiliation(s)
- Bowen Tan
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University, New York, NY 10065, USA
- These authors contributed equally
| | - Caleb J. Browne
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- These authors contributed equally
| | - Tobias Nöbauer
- Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY 10065, USA
| | - Alipasha Vaziri
- Laboratory of Neurotechnology and Biophysics, The Rockefeller University, New York, NY 10065, USA
- The Kavli Neural Systems Institute, The Rockefeller University, New York, NY 10065, USA
| | - Jeffrey M. Friedman
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University, New York, NY 10065, USA
| | - Eric J. Nestler
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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17
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Di Raddo ME, Milenkovic M, Sivasubramanian M, Hasbi A, Bergman J, Withey S, Madras BK, George SR. Δ9-Tetrahydrocannabinol does not upregulate an aversive dopamine receptor mechanism in adolescent brain unlike in adults. CURRENT RESEARCH IN NEUROBIOLOGY 2023; 5:100107. [PMID: 38020805 PMCID: PMC10663137 DOI: 10.1016/j.crneur.2023.100107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 07/05/2023] [Accepted: 08/18/2023] [Indexed: 12/01/2023] Open
Abstract
Earlier age of cannabis usage poses higher risk of Cannabis Use Disorder and adverse consequences, such as addiction, anxiety, dysphoria, psychosis, largely attributed to its principal psychoactive component, Δ9-tetrahydrocannabinol (THC) and altered dopaminergic function. As dopamine D1-D2 receptor heteromer activation causes anxiety and anhedonia, this signaling complex was postulated to contribute to THC-induced affective symptoms. To investigate this, we administered THC repeatedly to adolescent monkeys and adolescent or adult rats. Drug-naïve adolescent rat had lower striatal densities of D1-D2 heteromer compared to adult rat. Repeated administration of THC to adolescent rat or adolescent monkey did not alter D1-D2 heteromer expression in nucleus accumbens or dorsal striatum but upregulated it in adult rat. Behaviourally, THC-treated adult, but not adolescent rat manifested anxiety and anhedonia-like behaviour, with elevated composite negative emotionality scores that correlated with striatal D1-D2 density. THC modified downstream markers of D1-D2 activation in adult, but not adolescent striatum. THC administered with cannabidiol did not alter D1-D2 expression. In adult rat, co-administration of CB1 receptor (CB1R) inverse agonist with THC attenuated D1-D2 upregulation, implicating cannabinoids in the regulation of striatal D1-D2 heteromer expression. THC exposure revealed an adaptable age-specific, anxiogenic, anti-reward mechanism operant in adult striatum but deficient in adolescent rat and monkey striatum that may confer increased sensitivity to THC reward in adolescence while limiting its negative effects, thus promoting continued use and increasing vulnerability to long-term adverse cannabis effects.
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Affiliation(s)
- Marie-Eve Di Raddo
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada M5S 1A8
| | - Marija Milenkovic
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada M5S 1A8
| | | | - Ahmed Hasbi
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada M5S 1A8
| | - Jack Bergman
- McLean Hospital, Belmont MA & Department of Psychiatry, Harvard Medical School, Boston, MA, 02478, United States
| | - Sarah Withey
- McLean Hospital, Belmont MA & Department of Psychiatry, Harvard Medical School, Boston, MA, 02478, United States
| | - Bertha K. Madras
- McLean Hospital, Belmont MA & Department of Psychiatry, Harvard Medical School, Boston, MA, 02478, United States
| | - Susan R. George
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada M5S 1A8
- Department of Medicine, University of Toronto, Toronto, Canada M5S 1A8
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18
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Tam RW, Keung AJ. Profiling transcriptomic responses of human stem cell-derived medium spiny neuron-like cells to exogenous phasic and tonic neurotransmitters. Mol Cell Neurosci 2023; 126:103876. [PMID: 37385515 PMCID: PMC10528483 DOI: 10.1016/j.mcn.2023.103876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 06/06/2023] [Accepted: 06/24/2023] [Indexed: 07/01/2023] Open
Abstract
Transcriptomic responses to neurotransmitters contribute to the complex processes driving memory and addiction. Advances in both measurement methods and experimental models continue to improve our understanding of this regulatory layer. Here we focus on the experimental potential of stem cell derived neurons, currently the only ethical model that can be used in reductionist and experimentally perturbable studies of human cells. Prior work has focused on generating distinct cell types from human stem cells, and has also shown their utility in modeling development and cellular phenotypes related to neurodegeneration. Here we seek an understanding of how stem cell derived neural cultures respond to perturbations experienced during development and disease progression. This work profiles transcriptomic responses of human medium spiny neuron-like cells with three specific goals. We first characterize transcriptomic responses to dopamine and dopamine receptor agonists and antagonists presented in dosing patterns mimicking acute, chronic, and withdrawal regimens. We also assess transcriptomic responses to low and persistent tonic levels of dopamine, acetylcholine, and glutamate to better mimic the in vivo environment. Finally, we identify similar and distinct responses between hMSN-like cells derived from H9 and H1 stem cell lines, providing some context for the extent of variability these types of systems will likely pose for experimentalists. The results here suggest future optimizations of human stem cell derived neurons to increase their in vivo relevance and the biological insights that can be garnered from these models.
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Affiliation(s)
- Ryan W Tam
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27606, United States of America
| | - Albert J Keung
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27606, United States of America.
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19
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Abstract
Striosomes form neurochemically specialized compartments of the striatum embedded in a large matrix made up of modules called matrisomes. Striosome-matrix architecture is multiplexed with the canonical direct-indirect organization of the striatum. Striosomal functions remain to be fully clarified, but key information is emerging. First, striosomes powerfully innervate nigral dopamine-containing neurons and can completely shut down their activity, with a following rebound excitation. Second, striosomes receive limbic and cognition-related corticostriatal afferents and are dynamically modulated in relation to value-based actions. Third, striosomes are spatially interspersed among matrisomes and interneurons and are influenced by local and global neuromodulatory and oscillatory activities. Fourth, striosomes tune engagement and the motivation to perform reinforcement learning, to manifest stereotypical behaviors, and to navigate valence conflicts and valence discriminations. We suggest that, at an algorithmic level, striosomes could serve as distributed scaffolds to provide formats of the striatal computations generated through development and refined through learning. We propose that striosomes affect subjective states. By transforming corticothalamic and other inputs to the functional formats of the striatum, they could implement state transitions in nigro-striato-nigral circuits to affect bodily and cognitive actions according to internal motives whose functions are compromised in neuropsychiatric conditions.
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Affiliation(s)
- Ann M Graybiel
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA;
| | - Ayano Matsushima
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA;
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20
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Sancha-Velasco A, Uceda-Heras A, García-Cabezas MÁ. Cortical type: a conceptual tool for meaningful biological interpretation of high-throughput gene expression data in the human cerebral cortex. Front Neuroanat 2023; 17:1187280. [PMID: 37426901 PMCID: PMC10323436 DOI: 10.3389/fnana.2023.1187280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 05/31/2023] [Indexed: 07/11/2023] Open
Abstract
The interpretation of massive high-throughput gene expression data requires computational and biological analyses to identify statistically and biologically significant differences, respectively. There are abundant sources that describe computational tools for statistical analysis of massive gene expression data but few address data analysis for biological significance. In the present article we exemplify the importance of selecting the proper biological context in the human brain for gene expression data analysis and interpretation. For this purpose, we use cortical type as conceptual tool to make predictions about gene expression in areas of the human temporal cortex. We predict that the expression of genes related to glutamatergic transmission would be higher in areas of simpler cortical type, the expression of genes related to GABAergic transmission would be higher in areas of more complex cortical type, and the expression of genes related to epigenetic regulation would be higher in areas of simpler cortical type. Then, we test these predictions with gene expression data from several regions of the human temporal cortex obtained from the Allen Human Brain Atlas. We find that the expression of several genes shows statistically significant differences in agreement with the predicted gradual expression along the laminar complexity gradient of the human cortex, suggesting that simpler cortical types may have greater glutamatergic excitability and epigenetic turnover compared to more complex types; on the other hand, complex cortical types seem to have greater GABAergic inhibitory control compared to simpler types. Our results show that cortical type is a good predictor of synaptic plasticity, epigenetic turnover, and selective vulnerability in human cortical areas. Thus, cortical type can provide a meaningful context for interpreting high-throughput gene expression data in the human cerebral cortex.
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Affiliation(s)
- Ariadna Sancha-Velasco
- Department of Anatomy, Histology and Neuroscience, School of Medicine, Autonomous University of Madrid, Madrid, Spain
- Master Program in Neuroscience, Autonomous University of Madrid, Madrid, Spain
| | - Alicia Uceda-Heras
- Master Program in Neuroscience, Autonomous University of Madrid, Madrid, Spain
- Ph.D. Program in Neuroscience UAM-Cajal, Autonomous University of Madrid, Madrid, Spain
| | - Miguel Ángel García-Cabezas
- Department of Anatomy, Histology and Neuroscience, School of Medicine, Autonomous University of Madrid, Madrid, Spain
- Master Program in Neuroscience, Autonomous University of Madrid, Madrid, Spain
- Ph.D. Program in Neuroscience UAM-Cajal, Autonomous University of Madrid, Madrid, Spain
- Neural Systems Laboratory, Department of Health Sciences, Boston University, Boston, MA, United States
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21
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Phillips RA, Tuscher JJ, Fitzgerald ND, Wan E, Zipperly ME, Duke CG, Ianov L, Day JJ. Distinct subpopulations of D1 medium spiny neurons exhibit unique transcriptional responsiveness to cocaine. Mol Cell Neurosci 2023; 125:103849. [PMID: 36965548 PMCID: PMC10898607 DOI: 10.1016/j.mcn.2023.103849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/13/2023] [Accepted: 03/18/2023] [Indexed: 03/27/2023] Open
Abstract
Drugs of abuse increase extracellular concentrations of dopamine in the nucleus accumbens (NAc), resulting in transcriptional alterations that drive long-lasting cellular and behavioral adaptations. While decades of research have focused on the transcriptional mechanisms by which drugs of abuse influence neuronal physiology and function, few studies have comprehensively defined NAc cell type heterogeneity in transcriptional responses to drugs of abuse. Here, we used single nucleus RNA-seq (snRNA-seq) to characterize the transcriptome of over 39,000 NAc cells from male and female adult Sprague-Dawley rats following acute or repeated cocaine experience. This dataset identified 16 transcriptionally distinct cell populations, including two populations of medium spiny neurons (MSNs) that express the Drd1 dopamine receptor (D1-MSNs). Critically, while both populations expressed classic marker genes of D1-MSNs, only one population exhibited a robust transcriptional response to cocaine. Validation of population-selective transcripts using RNA in situ hybridization revealed distinct spatial compartmentalization of these D1-MSN populations within the NAc. Finally, analysis of published NAc snRNA-seq datasets from non-human primates and humans demonstrated conservation of MSN subtypes across rat and higher order mammals, and further highlighted cell type-specific transcriptional differences across the NAc and broader striatum. These results highlight the utility in using snRNA-seq to characterize both cell type heterogeneity and cell type-specific responses to cocaine and provides a useful resource for cross-species comparisons of NAc cell composition.
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Affiliation(s)
- Robert A Phillips
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Jennifer J Tuscher
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - N Dalton Fitzgerald
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Ethan Wan
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Morgan E Zipperly
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Corey G Duke
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Lara Ianov
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA; Civitan International Research Center, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Jeremy J Day
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
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22
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Arasaratnam CJ, Song JJ, Yoshida T, Curtis MA, Graybiel AM, Faull RLM, Waldvogel HJ. DARPP-32 cells and neuropil define striosomal system and isolated matrix cells in human striatum. J Comp Neurol 2023; 531:888-920. [PMID: 37002560 PMCID: PMC10392785 DOI: 10.1002/cne.25473] [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: 07/07/2022] [Revised: 01/30/2023] [Accepted: 02/28/2023] [Indexed: 04/04/2023]
Abstract
The dorsal striatum forms a central node of the basal ganglia interconnecting the neocortex and thalamus with circuits modulating mood and movement. Striatal projection neurons (SPNs) include relatively intermixed populations expressing D1-type or D2-type dopamine receptors (dSPNs and iSPNs) that give rise to the direct (D1) and indirect (D2) output systems of the basal ganglia. Overlaid on this organization is a compartmental organization, in which a labyrinthine system of striosomes made up of sequestered SPNs is embedded within the larger striatal matrix. Striosomal SPNs also include D1-SPNs and D2-SPNs, but they can be distinguished from matrix SPNs by many neurochemical markers. In the rodent striatum the key signaling molecule, DARPP-32, is a exception to these compartmental expression patterns, thought to befit its functions through opposite actions in both D1- and D2-expressing SPNs. We demonstrate here, however, that in the dorsal human striatum, DARPP-32 is concentrated in the neuropil and SPNs of striosomes, especially in the caudate nucleus and dorsomedial putamen, relative to the matrix neuropil in these regions. The generally DARPP-32-poor matrix contains scattered DARPP-32-positive cells. DARPP-32 cell bodies in both compartments proved negative for conventional intraneuronal markers. These findings raise the potential for specialized DARPP-32 expression in the human striosomal system and in a set of DARPP-32-positive neurons in the matrix. If DARPP-32 immunohistochemical positivity predicts differential functional DARPP-32 activity, then the distributions demonstrated here could render striosomes and dispersed matrix cells susceptible to differential signaling through cAMP and other signaling systems in health and disease. DARPP-32 is highly concentrated in cells and neuropil of striosomes in post-mortem human brain tissue, particularly in the dorsal caudate nucleus. Scattered DARPP-32-positive cells are found in the human striatal matrix. Calbindin and DARPP-32 do not colocalize within every spiny projection neuron in the dorsal human caudate nucleus.
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Affiliation(s)
- Christine J Arasaratnam
- Department of Anatomy and Medical Imaging, Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Jennifer J Song
- Department of Anatomy and Medical Imaging, Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Tomoko Yoshida
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Maurice A Curtis
- Department of Anatomy and Medical Imaging, Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Ann M Graybiel
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Richard L M Faull
- Department of Anatomy and Medical Imaging, Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Henry J Waldvogel
- Department of Anatomy and Medical Imaging, Centre for Brain Research, University of Auckland, Auckland, New Zealand
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23
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Hosseinzadeh Sahafi O, Sardari M, Alijanpour S, Rezayof A. Shared Mechanisms of GABAergic and Opioidergic Transmission Regulate Corticolimbic Reward Systems and Cognitive Aspects of Motivational Behaviors. Brain Sci 2023; 13:brainsci13050815. [PMID: 37239287 DOI: 10.3390/brainsci13050815] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
The functional interplay between the corticolimbic GABAergic and opioidergic systems plays a crucial role in regulating the reward system and cognitive aspects of motivational behaviors leading to the development of addictive behaviors and disorders. This review provides a summary of the shared mechanisms of GABAergic and opioidergic transmission, which modulate the activity of dopaminergic neurons located in the ventral tegmental area (VTA), the central hub of the reward mechanisms. This review comprehensively covers the neuroanatomical and neurobiological aspects of corticolimbic inhibitory neurons that express opioid receptors, which act as modulators of corticolimbic GABAergic transmission. The presence of opioid and GABA receptors on the same neurons allows for the modulation of the activity of dopaminergic neurons in the ventral tegmental area, which plays a key role in the reward mechanisms of the brain. This colocalization of receptors and their immunochemical markers can provide a comprehensive understanding for clinicians and researchers, revealing the neuronal circuits that contribute to the reward system. Moreover, this review highlights the importance of GABAergic transmission-induced neuroplasticity under the modulation of opioid receptors. It discusses their interactive role in reinforcement learning, network oscillation, aversive behaviors, and local feedback or feedforward inhibitions in reward mechanisms. Understanding the shared mechanisms of these systems may lead to the development of new therapeutic approaches for addiction, reward-related disorders, and drug-induced cognitive impairment.
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Affiliation(s)
- Oveis Hosseinzadeh Sahafi
- Department of Animal Biology, School of Biology, College of Science, University of Tehran, Tehran 14155-6465, Iran
- Department of Neurophysiology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan
| | - Maryam Sardari
- Department of Animal Biology, School of Biology, College of Science, University of Tehran, Tehran 14155-6465, Iran
| | - Sakineh Alijanpour
- Department of Biology, Faculty of Science, Gonbad Kavous University, Gonbad Kavous 4971799151, Iran
| | - Ameneh Rezayof
- Department of Animal Biology, School of Biology, College of Science, University of Tehran, Tehran 14155-6465, Iran
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24
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Xu J, Farsad HL, Hou Y, Barclay K, Lopez BA, Yamada S, Saliu IO, Shi Y, Knight WC, Bateman RJ, Benzinger TLS, Yi JJ, Li Q, Wang T, Perlmutter JS, Morris JC, Zhao G. Human striatal glia differentially contribute to AD- and PD-specific neurodegeneration. NATURE AGING 2023; 3:346-365. [PMID: 36993867 PMCID: PMC10046522 DOI: 10.1038/s43587-023-00363-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 01/09/2023] [Indexed: 02/11/2023]
Abstract
The commonalities and differences in cell-type-specific pathways that lead to Alzheimer disease (AD) and Parkinson disease (PD) remain unknown. Here, we performed a single-nucleus transcriptome comparison of control, AD and PD striata. We describe three astrocyte subpopulations shared across different brain regions and evolutionarily conserved between humans and mice. We reveal common features between AD and PD astrocytes and regional differences that contribute toward amyloid pathology and neurodegeneration. In contrast, we found that transcriptomic changes in microglia are largely unique to each disorder. Our analysis identified a population of activated microglia that shared molecular signatures with murine disease-associated microglia (DAM) as well as disease-associated and regional differences in microglia transcriptomic changes linking microglia to disease-specific amyloid pathology, tauopathy and neuronal death. Finally, we delineate undescribed subpopulations of medium spiny neurons (MSNs) in the striatum and provide neuronal transcriptomic profiles suggesting disease-specific changes and selective neuronal vulnerability.
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Affiliation(s)
- Jinbin Xu
- The Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Huifangjie L. Farsad
- The Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Yiran Hou
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
- The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Present address: Department of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI, USA
| | - Kia Barclay
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Ben Anthony Lopez
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
- MD-PhD in Molecular Medicine Program, College of Medicine, University of the Philippines Manila, Manila, Philippines
| | - Shinnosuke Yamada
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Yiming Shi
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - William C. Knight
- The Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Randall J. Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tammie L. S. Benzinger
- The Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Jason J. Yi
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Qingyun Li
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Ting Wang
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
- The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
| | - Joel S. Perlmutter
- The Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - John C. Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Guoyan Zhao
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
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25
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Matsushima A, Pineda SS, Crittenden JR, Lee H, Galani K, Mantero J, Tombaugh G, Kellis M, Heiman M, Graybiel AM. Transcriptional vulnerabilities of striatal neurons in human and rodent models of Huntington's disease. Nat Commun 2023; 14:282. [PMID: 36650127 PMCID: PMC9845362 DOI: 10.1038/s41467-022-35752-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 12/23/2022] [Indexed: 01/19/2023] Open
Abstract
Striatal projection neurons (SPNs), which progressively degenerate in human patients with Huntington's disease (HD), are classified along two axes: the canonical direct-indirect pathway division and the striosome-matrix compartmentation. It is well established that the indirect-pathway SPNs are susceptible to neurodegeneration and transcriptomic disturbances, but less is known about how the striosome-matrix axis is compromised in HD in relation to the canonical axis. Here we show, using single-nucleus RNA-sequencing data from male Grade 1 HD patient post-mortem brain samples and male zQ175 and R6/2 mouse models, that the two axes are multiplexed and differentially compromised in HD. In human HD, striosomal indirect-pathway SPNs are the most depleted SPN population. In mouse HD models, the transcriptomic distinctiveness of striosome-matrix SPNs is diminished more than that of direct-indirect pathway SPNs. Furthermore, the loss of striosome-matrix distinction is more prominent within indirect-pathway SPNs. These results open the possibility that the canonical direct-indirect pathway and striosome-matrix compartments are differentially compromised in late and early stages of disease progression, respectively, differentially contributing to the symptoms, thus calling for distinct therapeutic strategies.
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Affiliation(s)
- Ayano Matsushima
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Sergio Sebastian Pineda
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
| | - Jill R Crittenden
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Hyeseung Lee
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kyriakitsa Galani
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
| | - Julio Mantero
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
| | | | - Manolis Kellis
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
| | - Myriam Heiman
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ann M Graybiel
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
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26
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Phillips RA, Tuscher JJ, Fitzgerald ND, Wan E, Zipperly ME, Duke CG, Ianov L, Day JJ. Distinct subpopulations of D1 medium spiny neurons exhibit unique transcriptional responsiveness to cocaine. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.12.523845. [PMID: 36711527 PMCID: PMC9882178 DOI: 10.1101/2023.01.12.523845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Drugs of abuse increase extracellular concentrations of dopamine in the nucleus accumbens (NAc), resulting in transcriptional alterations that drive long-lasting cellular and behavioral adaptations. While decades of research have focused on the transcriptional mechanisms by which drugs of abuse influence neuronal physiology and function, few studies have comprehensively defined NAc cell type heterogeneity in transcriptional responses to drugs of abuse. Here, we used single nucleus RNA-seq (snRNA-seq) to characterize the transcriptome of over 39,000 NAc cells from male and female adult Sprague-Dawley rats following acute or repeated cocaine experience. This dataset identified 16 transcriptionally distinct cell populations, including two populations of medium spiny neurons (MSNs) that express the Drd1 dopamine receptor (D1-MSNs). Critically, while both populations expressed classic marker genes of D1-MSNs, only one population exhibited a robust transcriptional response to cocaine. Validation of population-selective transcripts using RNA in situ hybridization revealed distinct spatial compartmentalization of these D1-MSN populations within the NAc. Finally, analysis of published NAc snRNA-seq datasets from non-human primates and humans demonstrated conservation of MSN subtypes across rat and higher order mammals, and further highlighted cell type-specific transcriptional differences across the NAc and broader striatum. These results highlight the utility in using snRNA-seq to characterize both cell type heterogeneity and cell type-specific responses to cocaine and provides a useful resource for cross-species comparisons of NAc cell composition.
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Affiliation(s)
- Robert A. Phillips
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Jennifer J. Tuscher
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - N. Dalton Fitzgerald
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Ethan Wan
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Morgan E. Zipperly
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Corey G. Duke
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Lara Ianov
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA,Civitan International Research Center, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Jeremy J. Day
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA,Correspondence to Jeremy Day ( ∣ day-lab.org ∣ @DayLabUAB)
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27
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Day JJ, Martinowich K. Single-cell transcriptional profiling in brain reward structures. Neuropsychopharmacology 2023; 48:243-244. [PMID: 35915230 PMCID: PMC9700856 DOI: 10.1038/s41386-022-01394-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Jeremy J Day
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
| | - Keri Martinowich
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
- The Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD, 21205, USA.
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Li Z, Sun Y, Ding L, Yang J, Huang J, Cheng M, Wu L, Zhuang Z, Chen C, Huang Y, Zhu Z, Jiang S, Huang F, Wang C, Liu S, Liu L, Lei Y. Deciphering the distinct transcriptomic and gene regulatory map in adult macaque basal ganglia cells. Gigascience 2022; 12:giad095. [PMID: 38091510 PMCID: PMC10716911 DOI: 10.1093/gigascience/giad095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 08/09/2023] [Accepted: 10/10/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND The basal ganglia are a complex of interconnected subcortical structures located beneath the mammalian cerebral cortex. The degeneration of dopaminergic neurons in the basal ganglia is the primary pathological feature of Parkinson's disease. Due to a lack of integrated analysis of multiomics datasets across multiple basal ganglia brain regions, very little is known about the regulatory mechanisms of this area. FINDINGS We utilized high-throughput transcriptomic and epigenomic analysis to profile over 270,000 single-nucleus cells to create a cellular atlas of the basal ganglia, characterizing the cellular composition of 4 regions of basal ganglia in adult macaque brain, including the striatum, substantia nigra (SN), globus pallidum, and amygdala. We found a distinct epigenetic regulation on gene expression of neuronal and nonneuronal cells across regions in basal ganglia. We identified a cluster of SN-specific astrocytes associated with neurodegenerative diseases and further explored the conserved and primate-specific transcriptomics in SN cell types across human, macaque, and mouse. Finally, we integrated our epigenetic landscape of basal ganglia cells with human disease heritability and identified a regulatory module consisting of candidate cis-regulatory elements that are specific to medium spiny neurons and associated with schizophrenia. CONCLUSIONS In general, our macaque basal ganglia atlas provides valuable insights into the comprehensive transcriptome and epigenome of the most important and populous cell populations in the macaque basal ganglia. We have identified 49 cell types based on transcriptomic profiles and 47 cell types based on epigenomic profiles, some of which exhibit region specificity, and characterized the molecular relationships underlying these brain regions.
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Affiliation(s)
- Zihao Li
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Research, Hangzhou 310030, China
| | - Yunong Sun
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Research, Hangzhou 310030, China
| | | | - Jing Yang
- BGI Research, Hangzhou 310030, China
| | | | | | - Liang Wu
- BGI Research, Shenzhen 518083, China
| | | | - Cheng Chen
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Research, Hangzhou 310030, China
| | - Yunqi Huang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Research, Hangzhou 310030, China
| | - Zhiyong Zhu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Research, Hangzhou 310030, China
| | - Siyuan Jiang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Research, Hangzhou 310030, China
| | - Fubaoqian Huang
- BGI Research, Hangzhou 310030, China
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China
| | - Chunqing Wang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Research, Shenzhen 518083, China
| | - Shiping Liu
- BGI Research, Hangzhou 310030, China
- BGI Research, Shenzhen 518083, China
| | - Longqi Liu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Research, Hangzhou 310030, China
- BGI Research, Shenzhen 518083, China
| | - Ying Lei
- BGI Research, Shenzhen 518083, China
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29
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Martel AC, Galvan A. Connectivity of the corticostriatal and thalamostriatal systems in normal and parkinsonian states: An update. Neurobiol Dis 2022; 174:105878. [PMID: 36183947 PMCID: PMC9976706 DOI: 10.1016/j.nbd.2022.105878] [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: 07/02/2022] [Revised: 09/23/2022] [Accepted: 09/28/2022] [Indexed: 02/06/2023] Open
Abstract
The striatum receives abundant glutamatergic afferents from the cortex and thalamus. These inputs play a major role in the functions of the striatal neurons in normal conditions, and are significantly altered in pathological states, such as Parkinson's disease. This review summarizes the current knowledge of the connectivity of the corticostriatal and thalamostriatal pathways, with emphasis on the most recent advances in the field. We also discuss novel findings regarding structural changes in cortico- and thalamostriatal connections that occur in these connections as a consequence of striatal loss of dopamine in parkinsonism.
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Affiliation(s)
- Anne-Caroline Martel
- Emory National Primate Research Center, Emory University, Atlanta, GA, USA; Udall Center of Excellence for Parkinson's Disease Research, Emory University, Atlanta, GA, USA
| | - Adriana Galvan
- Emory National Primate Research Center, Emory University, Atlanta, GA, USA; Udall Center of Excellence for Parkinson's Disease Research, Emory University, Atlanta, GA, USA; Department of Neurology, School of Medicine, Emory University, Atlanta, GA, USA.
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30
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Chen X, Yang Z, Shao Y, Kim K, Wang Y, Wang Y, Wu H, Xu X, Le W. Pitx3 deficiency promotes age-dependent alterations in striatal medium spiny neurons. Front Aging Neurosci 2022; 14:960479. [PMID: 36158557 PMCID: PMC9490232 DOI: 10.3389/fnagi.2022.960479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 08/16/2022] [Indexed: 11/26/2022] Open
Abstract
Background The classical motor symptoms of Parkinson's disease (PD) are tightly linked to the gradual loss of dopamine within the striatum. Concomitantly, medium spiny neurons (MSNs) also experience morphological changes, such as reduced dendritic complexity and spine density, which may be potentially associated with motor dysfunction as well. Thus, MSNs may serve as the emerging targets for PD therapy besides the midbrain dopaminergic neurons. Results To comprehensively examine pathological alterations of MSNs longitudinally, we established a TH Cre/ Pitx3 fl/fl (Pitx3cKO ) mouse model that developed canonical PD features, including a significant loss of SNc DAergic neurons and motor deficits. During aging, the targeted neurotransmitter, MSNs morphology and DNA methylation profile were significantly altered upon Pitx3 deficiency. Specifically, dopamine, GABA and glutamate decreased in the model at the early stage. While nuclear, soma and dendritic atrophy, as well as nuclear invaginations increased in the aged MSNs of Pitx3cko mice. Furthermore, more nuclear DNA damages were characterized in MSNs during aging, and Pitx3 deficiency aggravated this phenomenon, together with alterations of DNA methylation profiling associated with lipoprotein and nucleus pathway at the late stage. Conclusion The early perturbations of the neurotransmitters within MSNs may potentially contribute to the alterations of metabolism, morphology and epigenetics within the striatum at the late stage, which may provide new perspectives on the diagnosis and pathogenesis of PD.
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Affiliation(s)
- Xi Chen
- Institute of Neurology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Sichuan Translational Medicine Research Hospital, Chinese Academy of Sciences, Chengdu, China
| | - Zhaofei Yang
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Yaping Shao
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Kunhyok Kim
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Yuanyuan Wang
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Ying Wang
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Haifeng Wu
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Xiaolan Xu
- Institute of Neurology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Sichuan Translational Medicine Research Hospital, Chinese Academy of Sciences, Chengdu, China
| | - Weidong Le
- Institute of Neurology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Sichuan Translational Medicine Research Hospital, Chinese Academy of Sciences, Chengdu, China
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, China
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31
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Zhao ZD, Han X, Chen R, Liu Y, Bhattacherjee A, Chen W, Zhang Y. A molecularly defined D1 medium spiny neuron subtype negatively regulates cocaine addiction. SCIENCE ADVANCES 2022; 8:eabn3552. [PMID: 35960793 PMCID: PMC9374336 DOI: 10.1126/sciadv.abn3552] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 06/30/2022] [Indexed: 05/21/2023]
Abstract
The striatum plays a critical role in regulating addiction-related behaviors. The conventional dichotomy model suggests that striatal D1/D2 medium spiny neurons (MSNs) positively/negatively regulate addiction-related behaviors. However, this model does not account for the neuronal heterogeneity and functional diversity of the striatum, and whether MSN subtypes beyond the pan-D1/D2 populations play distinct roles in drug addiction remains unknown. We characterized the role of a tachykinin 2-expressing D1 MSN subtype (Tac2+), present in both rodent and primate striatum, using cocaine addiction mouse models. We found that acute cocaine administration reduces Tac2 neuronal activity, and cocaine conditioning alters neuronal response related to cocaine reward contextual associations. In addition, activation/inhibition of Tac2+ neurons attenuates/promotes cocaine-induced conditioned place preference and cocaine intravenous self-administration. Furthermore, stimulation of the NAc-to-lateral hypothalamic projection of Tac2+ neurons suppresses cocaine reward behavior. Our study reveals an unconventional negative regulatory function of D1 MSNs in drug addiction that operates in a subtype- and projection-specific manner.
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Affiliation(s)
- Zheng-dong Zhao
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
- Program in Cellular and Molecular Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Division of Hematology/Oncology, Department of Pediatrics, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Xiao Han
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
- Program in Cellular and Molecular Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Division of Hematology/Oncology, Department of Pediatrics, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Renchao Chen
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
- Program in Cellular and Molecular Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Division of Hematology/Oncology, Department of Pediatrics, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Yiqiong Liu
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
- Program in Cellular and Molecular Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Division of Hematology/Oncology, Department of Pediatrics, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Aritra Bhattacherjee
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
- Program in Cellular and Molecular Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Division of Hematology/Oncology, Department of Pediatrics, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Wenqiang Chen
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
- Program in Cellular and Molecular Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Division of Hematology/Oncology, Department of Pediatrics, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Yi Zhang
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
- Program in Cellular and Molecular Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
- Division of Hematology/Oncology, Department of Pediatrics, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Harvard Stem Cell Institute, WAB-149G, 200 Longwood Avenue, Boston, MA 02115, USA
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32
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Applications of chemogenetics in non-human primates. Curr Opin Pharmacol 2022; 64:102204. [DOI: 10.1016/j.coph.2022.102204] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 01/10/2022] [Accepted: 02/11/2022] [Indexed: 11/23/2022]
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