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Xie L, Liu H, You Z, Wang L, Li Y, Zhang X, Ji X, He H, Yuan T, Zheng W, Wu Z, Xiong M, Wei W, Chen Y. Comprehensive spatiotemporal mapping of single-cell lineages in developing mouse brain by CRISPR-based barcoding. Nat Methods 2023; 20:1244-1255. [PMID: 37460718 DOI: 10.1038/s41592-023-01947-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 06/06/2023] [Indexed: 08/09/2023]
Abstract
A fundamental interest in developmental neuroscience lies in the ability to map the complete single-cell lineages within the brain. To this end, we developed a CRISPR editing-based lineage-specific tracing (CREST) method for clonal tracing in Cre mice. We then used two complementary strategies based on CREST to map single-cell lineages in developing mouse ventral midbrain (vMB). By applying snapshotting CREST (snapCREST), we constructed a spatiotemporal lineage landscape of developing vMB and identified six progenitor archetypes that could represent the principal clonal fates of individual vMB progenitors and three distinct clonal lineages in the floor plate that specified glutamatergic, dopaminergic or both neurons. We further created pandaCREST (progenitor and derivative associating CREST) to associate the transcriptomes of progenitor cells in vivo with their differentiation potentials. We identified multiple origins of dopaminergic neurons and demonstrated that a transcriptome-defined progenitor type comprises heterogeneous progenitors, each with distinct clonal fates and molecular signatures. Therefore, the CREST method and strategies allow comprehensive single-cell lineage analysis that could offer new insights into the molecular programs underlying neural specification.
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Affiliation(s)
- Lianshun Xie
- Institute of Neuroscience, Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hengxin Liu
- University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Zhiwen You
- Institute of Neuroscience, Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Luyue Wang
- University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Yiwen Li
- Institute of Neuroscience, Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Xinyue Zhang
- Institute of Neuroscience, Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoshan Ji
- Department of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Hui He
- Institute of Neuroscience, Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Tingli Yuan
- Institute of Neuroscience, Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Wenping Zheng
- Institute of Neuroscience, Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Ziyan Wu
- UniXell Biotechnology, Shanghai, China
| | - Man Xiong
- State Key Laboratory of Medical Neurobiology-Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Wu Wei
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China.
- Center for Biomedical Informatics, Shanghai Engineering Research Center for Big Data in Pediatric Precision Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China.
- Lingang Laboratory, Shanghai, China.
| | - Yuejun Chen
- Institute of Neuroscience, Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai, China.
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Partanen J, Achim K. Neurons gating behavior—developmental, molecular and functional features of neurons in the Substantia Nigra pars reticulata. Front Neurosci 2022; 16:976209. [PMID: 36148148 PMCID: PMC9485944 DOI: 10.3389/fnins.2022.976209] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
The Substantia Nigra pars reticulata (SNpr) is the major information output site of the basal ganglia network and instrumental for the activation and adjustment of movement, regulation of the behavioral state and response to reward. Due to both overlapping and unique input and output connections, the SNpr might also have signal integration capacity and contribute to action selection. How the SNpr regulates these multiple functions remains incompletely understood. The SNpr is located in the ventral midbrain and is composed primarily of inhibitory GABAergic projection neurons that are heterogeneous in their properties. In addition, the SNpr contains smaller populations of other neurons, including glutamatergic neurons. Here, we discuss regionalization of the SNpr, in particular the division of the SNpr neurons to anterior (aSNpr) and posterior (pSNpr) subtypes, which display differences in many of their features. We hypothesize that unique developmental and molecular characteristics of the SNpr neuron subtypes correlate with both region-specific connections and notable functional specializations of the SNpr. Variation in both the genetic control of the SNpr neuron development as well as signals regulating cell migration and axon guidance may contribute to the functional diversity of the SNpr neurons. Therefore, insights into the various aspects of differentiation of the SNpr neurons can increase our understanding of fundamental brain functions and their defects in neurological and psychiatric disorders, including movement and mood disorders, as well as epilepsy.
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Brignani S, Raj DDA, Schmidt ERE, Düdükcü Ö, Adolfs Y, De Ruiter AA, Rybiczka-Tesulov M, Verhagen MG, van der Meer C, Broekhoven MH, Moreno-Bravo JA, Grossouw LM, Dumontier E, Cloutier JF, Chédotal A, Pasterkamp RJ. Remotely Produced and Axon-Derived Netrin-1 Instructs GABAergic Neuron Migration and Dopaminergic Substantia Nigra Development. Neuron 2020; 107:684-702.e9. [PMID: 32562661 DOI: 10.1016/j.neuron.2020.05.037] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 04/17/2020] [Accepted: 05/26/2020] [Indexed: 12/18/2022]
Abstract
The midbrain dopamine (mDA) system is composed of molecularly and functionally distinct neuron subtypes that mediate specific behaviors and show select disease vulnerability, including in Parkinson's disease. Despite progress in identifying mDA neuron subtypes, how these neuronal subsets develop and organize into functional brain structures remains poorly understood. Here we generate and use an intersectional genetic platform, Pitx3-ITC, to dissect the mechanisms of substantia nigra (SN) development and implicate the guidance molecule Netrin-1 in the migration and positioning of mDA neuron subtypes in the SN. Unexpectedly, we show that Netrin-1, produced in the forebrain and provided to the midbrain through axon projections, instructs the migration of GABAergic neurons into the ventral SN. This migration is required to confine mDA neurons to the dorsal SN. These data demonstrate that neuron migration can be controlled by remotely produced and axon-derived secreted guidance cues, a principle that is likely to apply more generally.
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Affiliation(s)
- Sara Brignani
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands
| | - Divya D A Raj
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands
| | - Ewoud R E Schmidt
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands
| | - Özge Düdükcü
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands
| | - Youri Adolfs
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands
| | - Anna A De Ruiter
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands
| | - Mateja Rybiczka-Tesulov
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands
| | - Marieke G Verhagen
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands
| | - Christiaan van der Meer
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands
| | - Mark H Broekhoven
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands
| | - Juan A Moreno-Bravo
- Institut de la Vision, Sorbonne Université, INSERM, CNRS, 17 Rue Moreau, 75012 Paris, France
| | - Laurens M Grossouw
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands
| | - Emilie Dumontier
- Montreal Neurological Institute, 3801 University, Montréal, QC H3A 2B4, Canada
| | | | - Alain Chédotal
- Institut de la Vision, Sorbonne Université, INSERM, CNRS, 17 Rue Moreau, 75012 Paris, France
| | - R Jeroen Pasterkamp
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands.
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Martinez-Lopez JE, Moreno-Bravo JA, Madrigal MP, Martinez S, Puelles E. Mesencephalic basolateral domain specification is dependent on Sonic Hedgehog. Front Neuroanat 2015; 9:12. [PMID: 25741244 PMCID: PMC4330881 DOI: 10.3389/fnana.2015.00012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2014] [Accepted: 01/27/2015] [Indexed: 11/20/2022] Open
Abstract
In the study of central nervous system morphogenesis, the identification of new molecular markers allows us to identify domains along the antero-posterior and dorso-ventral (DV) axes. In the past years, the alar and basal plates of the midbrain have been divided into different domains. The precise location of the alar-basal boundary is still under discussion. We have identified Barhl1, Nhlh1 and Six3 as appropriate molecular markers to the adjacent domains of this transition. The description of their expression patterns and the contribution to the different mesencephalic populations corroborated their role in the specification of these domains. We studied the influence of Sonic Hedgehog on these markers and therefore on the specification of these territories. The lack of this morphogen produced severe alterations in the expression pattern of Barhl1 and Nhlh1 with consequent misspecification of the basolateral (BL) domain. Six3 expression was apparently unaffected, however its distribution changed leading to altered basal domains. In this study we confirmed the localization of the alar-basal boundary dorsal to the BL domain and demonstrated that the development of the BL domain highly depends on Shh.
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Affiliation(s)
- Jesus E Martinez-Lopez
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernandez, Consejo Superior de Investigaciones Científicas (UMH-CSIC) Alicante, Spain
| | - Juan A Moreno-Bravo
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernandez, Consejo Superior de Investigaciones Científicas (UMH-CSIC) Alicante, Spain
| | - M Pilar Madrigal
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernandez, Consejo Superior de Investigaciones Científicas (UMH-CSIC) Alicante, Spain
| | - Salvador Martinez
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernandez, Consejo Superior de Investigaciones Científicas (UMH-CSIC) Alicante, Spain ; Instituto Murciano de Investigacion Biomedica IMIB-Arrixaca (CIBERSAM) Murcia, Spain
| | - Eduardo Puelles
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernandez, Consejo Superior de Investigaciones Científicas (UMH-CSIC) Alicante, Spain
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Lahti L, Haugas M, Tikker L, Airavaara M, Voutilainen MH, Anttila J, Kumar S, Inkinen C, Salminen M, Partanen J. Differentiation and molecular heterogeneity of inhibitory and excitatory neurons associated with midbrain dopaminergic nuclei. Development 2015; 143:516-29. [DOI: 10.1242/dev.129957] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2015] [Accepted: 12/18/2015] [Indexed: 12/24/2022]
Abstract
Local inhibitory GABAergic and excitatory glutamatergic neurons are important for midbrain dopaminergic and hindbrain serotonergic pathways controlling motivation, mood, and voluntary movements. Such neurons reside both within the dopaminergic nuclei, and in adjacent brain structures, including the rostromedial and laterodorsal tegmental nuclei. Compared to the monoaminergic neurons, the development, heterogeneity, and molecular characteristics of these regulatory neurons are poorly understood. We show here that different GABAergic and glutamatergic subgroups associated with the monoaminergic nuclei express specific transcription factors. These neurons share common origins in the ventrolateral rhombomere 1, where postmitotic selector genes Tal1, Gata2, and Gata3 control the balance between the generation of inhibitory and excitatory neurons. In the absence of Tal1, or both Gata2 and Gata3, the GABAergic precursors adopt glutamatergic fates and populate the glutamatergic nuclei in excessive numbers. Together, our results uncover developmental regulatory mechanisms, molecular characteristics, and heterogeneity of central regulators of monoaminergic circuits.
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Affiliation(s)
- Laura Lahti
- Department of Biosciences, P.O. Box 56, Viikinkaari 9, FIN-00014 University of Helsinki, Helsinki, Finland
| | - Maarja Haugas
- Department of Biosciences, P.O. Box 56, Viikinkaari 9, FIN-00014 University of Helsinki, Helsinki, Finland
| | - Laura Tikker
- Department of Biosciences, P.O. Box 56, Viikinkaari 9, FIN-00014 University of Helsinki, Helsinki, Finland
| | - Mikko Airavaara
- Institute of Biotechnology, P.O. Box 56, Viikinkaari 9, FIN-00014 University of Helsinki, Helsinki, Finland
| | - Merja H. Voutilainen
- Institute of Biotechnology, P.O. Box 56, Viikinkaari 9, FIN-00014 University of Helsinki, Helsinki, Finland
| | - Jenni Anttila
- Institute of Biotechnology, P.O. Box 56, Viikinkaari 9, FIN-00014 University of Helsinki, Helsinki, Finland
| | - Suman Kumar
- Department of Biosciences, P.O. Box 56, Viikinkaari 9, FIN-00014 University of Helsinki, Helsinki, Finland
| | - Caisa Inkinen
- Department of Biosciences, P.O. Box 56, Viikinkaari 9, FIN-00014 University of Helsinki, Helsinki, Finland
| | - Marjo Salminen
- Department of Veterinary Biosciences, Agnes Sjöbergin katu 2, FIN-00014 University of Helsinki, Helsinki, Finland
| | - Juha Partanen
- Department of Biosciences, P.O. Box 56, Viikinkaari 9, FIN-00014 University of Helsinki, Helsinki, Finland
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