1
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Pipicelli F, Villalba A, Hippenmeyer S. How radial glia progenitor lineages generate cell-type diversity in the developing cerebral cortex. Curr Opin Neurobiol 2025; 93:103046. [PMID: 40383049 DOI: 10.1016/j.conb.2025.103046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2025] [Revised: 03/05/2025] [Accepted: 04/18/2025] [Indexed: 05/20/2025]
Abstract
The cerebral cortex is arguably the most complex organ in humans. The cortical architecture is characterized by a remarkable diversity of neuronal and glial cell types that make up its neuronal circuits. Following a precise temporally ordered program, radial glia progenitor (RGP) cells generate all cortical excitatory projection neurons and glial cell-types. Cortical excitatory projection neurons are produced either directly or via intermediate progenitors, through indirect neurogenesis. How the extensive cortical cell-type diversity is generated during cortex development remains, however, a fundamental open question. How do RGPs quantitatively and qualitatively generate all the neocortical neurons? How does direct and indirect neurogenesis contribute to the establishment of neuronal and lineage heterogeneity? Whether RGPs represent a homogeneous and/or multipotent progenitor population, or if RGPs consist of heterogeneous groups is currently also not known. In this review, we will summarize the latest findings that contributed to a deeper insight into the above key questions.
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Affiliation(s)
- Fabrizia Pipicelli
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Ana Villalba
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Simon Hippenmeyer
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria.
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2
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Andriatsilavo M, Hassan BA. Toward a probabilistic definition of neural cell types. Curr Opin Neurobiol 2025; 92:103035. [PMID: 40334296 DOI: 10.1016/j.conb.2025.103035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2025] [Revised: 03/04/2025] [Accepted: 04/10/2025] [Indexed: 05/09/2025]
Abstract
A classical view of cell type relies on a definite set of stable properties that are critical for brain functions. Single-cell technologies led to an extensive multimodal characterization of nervous systems and perhaps achieved one of Santiago Ramón y Cajal's dreams: to unveil a comprehensive view of the brain composition. While global analyses of brain structures highlight a degree of mesoscale stereotypy, a finer-scale resolution of brain composition shows significant variance in essential neural cellular phenotypes, including morphology, gene expression, electrophysiology, and connectivity. This highlights the need for novel conceptualization of the definition of a neural "cell type." The challenge of modern neural classification is thus to integrate various distinct cellular properties into a unifying descriptor.
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Affiliation(s)
- Maheva Andriatsilavo
- Institut du Cerveau-Paris Brain Institute (ICM), Sorbonne Université, Inserm, CNRS, Hôpital Pitié-Salpêtrière, Paris, France.
| | - Bassem A Hassan
- Institut du Cerveau-Paris Brain Institute (ICM), Sorbonne Université, Inserm, CNRS, Hôpital Pitié-Salpêtrière, Paris, France.
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3
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Garcia-Gonzalez I, Gambera S, Rocha SF, Regano A, Garcia-Ortega L, Lytvyn M, Diago-Domingo L, Sanchez-Muñoz MS, Garcia-Cabero A, Zagorac I, Luo W, De Andrés-Laguillo M, Fernández-Chacón M, Casquero-Garcia V, Lunella FF, Torroja C, Sánchez-Cabo F, Benedito R. iFlpMosaics enable the multispectral barcoding and high-throughput comparative analysis of mutant and wild-type cells. Nat Methods 2025; 22:323-334. [PMID: 39672980 PMCID: PMC11810794 DOI: 10.1038/s41592-024-02534-w] [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: 04/05/2024] [Accepted: 10/15/2024] [Indexed: 12/15/2024]
Abstract
To understand gene function, it is necessary to compare cells carrying the mutated target gene with normal cells. In most biomedical studies, the cells being compared are in different mutant and control animals and, therefore, do not experience the same epigenetic changes and tissue microenvironment. The experimental induction of genetic mosaics is essential to determine a gene cell-autonomous function and to model the etiology of diseases caused by somatic mutations. Current technologies used to induce genetic mosaics in mice lack either accuracy, throughput or barcoding diversity. Here we present the iFlpMosaics toolkit comprising a large set of new genetic tools and mouse lines that enable recombinase-dependent ratiometric induction and single-cell clonal tracking of multiple fluorescently labeled wild-type and Cre-mutant cells within the same time window and tissue microenvironment. The labeled cells can be profiled by multispectral imaging or by fluorescence-activated flow cytometry and single-cell RNA sequencing. iFlpMosaics facilitate the induction and analysis of genetic mosaics in any quiescent or progenitor cell, and for any given single or combination of floxed genes, thus enabling a more accurate understanding of how induced genetic mutations affect the biology of single cells during tissue development, homeostasis and disease.
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Affiliation(s)
- Irene Garcia-Gonzalez
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Stefano Gambera
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Susana F Rocha
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Alvaro Regano
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Lourdes Garcia-Ortega
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Mariya Lytvyn
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Luis Diago-Domingo
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Maria S Sanchez-Muñoz
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Aroa Garcia-Cabero
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Ivana Zagorac
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Wen Luo
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Macarena De Andrés-Laguillo
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Macarena Fernández-Chacón
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Verónica Casquero-Garcia
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Federica Francesca Lunella
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Carlos Torroja
- Bioinformatics Unit, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Fátima Sánchez-Cabo
- Bioinformatics Unit, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Rui Benedito
- Molecular Genetics of Angiogenesis Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
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4
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Guillamón-Vivancos T, Favaloro F, Dori F, López-Bendito G. The superior colliculus: New insights into an evolutionarily ancient structure. Curr Opin Neurobiol 2024; 89:102926. [PMID: 39383569 DOI: 10.1016/j.conb.2024.102926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Revised: 09/04/2024] [Accepted: 09/13/2024] [Indexed: 10/11/2024]
Abstract
The superior colliculus is a structure located in the dorsal midbrain with well conserved function and connectivity across species. Essential for survival, the superior colliculus has evolved to trigger rapid orientation and avoidance movements in response to external stimuli. The increasing recognition of the widespread connectivity of the superior colliculus, not only with brainstem and spinal cord, but also with virtually all brain structures, has rekindled the interest on this structure and revealed novel roles in the past few years. In this review, we focus on the most recent advancements in understanding its cellular composition, connectivity and function, with a particular focus on how the cellular diversity and connectivity arises during development, as well as on its recent role in the emergence of sensory circuits.
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Affiliation(s)
- Teresa Guillamón-Vivancos
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), San Juan de Alicante, Alicante, Spain.
| | - Fabrizio Favaloro
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), San Juan de Alicante, Alicante, Spain. https://twitter.com@F_Favaloro22
| | - Francesco Dori
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), San Juan de Alicante, Alicante, Spain. https://twitter.com@francesco_dori
| | - Guillermina López-Bendito
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), San Juan de Alicante, Alicante, Spain.
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5
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Cang J, Chen C, Li C, Liu Y. Genetically defined neuron types underlying visuomotor transformation in the superior colliculus. Nat Rev Neurosci 2024; 25:726-739. [PMID: 39333418 DOI: 10.1038/s41583-024-00856-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/16/2024] [Indexed: 09/29/2024]
Abstract
The superior colliculus (SC) is a conserved midbrain structure that is important for transforming visual and other sensory information into motor actions. Decades of investigations in numerous species have made the SC and its nonmammalian homologue, the optic tectum, one of the best studied structures in the brain, with rich information now available regarding its anatomical organization, its extensive inputs and outputs and its important functions in many reflexive and cognitive behaviours. Excitingly, recent studies using modern genomic and physiological approaches have begun to reveal the diverse neuronal subtypes in the SC, as well as their unique functions in visuomotor transformation. Studies have also started to uncover how subtypes of SC neurons form intricate circuits to mediate visual processing and visually guided behaviours. Here, we review these recent discoveries on the cell types and neuronal circuits underlying visuomotor transformations mediated by the SC. We also highlight the important future directions made possible by these new developments.
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Affiliation(s)
- Jianhua Cang
- Department of Biology, University of Virginia, Charlottesville, VA, USA.
- Department of Psychology, University of Virginia, Charlottesville, VA, USA.
| | - Chen Chen
- Department of Psychology, University of Virginia, Charlottesville, VA, USA
| | - Chuiwen Li
- Department of Psychology, University of Virginia, Charlottesville, VA, USA
| | - Yuanming Liu
- Department of Biology, University of Virginia, Charlottesville, VA, USA
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6
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Cheung G, Pauler FM, Koppensteiner P, Hippenmeyer S. Protocol for mapping cell lineage and cell-type identity of clonally-related cells in situ using MADM-CloneSeq. STAR Protoc 2024; 5:103168. [PMID: 38968076 PMCID: PMC11452916 DOI: 10.1016/j.xpro.2024.103168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/17/2024] [Accepted: 06/13/2024] [Indexed: 07/07/2024] Open
Abstract
The lineage relationship of clonally-related cells offers important insights into the ontogeny and cytoarchitecture of the brain in health and disease. Here, we provide a protocol to concurrently assess cell lineage relationship and cell-type identity among clonally-related cells in situ. We first describe the preparation and screening of acute brain slices containing clonally-related cells labeled using mosaic analysis with double markers (MADM). We then outline steps to collect RNA from individual cells for downstream applications and cell-type identification using RNA sequencing. For complete details on the use and execution of this protocol, please refer to Cheung et al.1.
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Affiliation(s)
- Giselle Cheung
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Florian M Pauler
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Peter Koppensteiner
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Simon Hippenmeyer
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria.
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7
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Cheung G, Streicher C, Hippenmeyer S. Protocol for quantitative reconstruction of cell lineage using mosaic analysis with double markers in mice. STAR Protoc 2024; 5:103157. [PMID: 38935508 PMCID: PMC11260041 DOI: 10.1016/j.xpro.2024.103157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/03/2024] [Accepted: 06/06/2024] [Indexed: 06/29/2024] Open
Abstract
The generation of diverse cell types during development is fundamental to brain functions. We outline a protocol to quantitatively assess the clonal output of individual neural progenitors using mosaic analysis with double markers (MADM) in mice. We first describe steps to acquire and reconstruct adult MADM clones in the superior colliculus. Then we detail analysis pipelines to determine clonal composition and architecture. This protocol enables the buildup of quantitative frameworks of lineage progression with precise spatial resolution in the brain. For complete details on the use and execution of this protocol, please refer to Cheung et al.1.
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Affiliation(s)
- Giselle Cheung
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Carmen Streicher
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Simon Hippenmeyer
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria.
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8
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Rudenko A, Kim IJ. Supermultipotency and unpredictability in the developing superior colliculus. Trends Neurosci 2024; 47:239-240. [PMID: 38514350 PMCID: PMC11047761 DOI: 10.1016/j.tins.2024.03.001] [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: 03/05/2024] [Accepted: 03/10/2024] [Indexed: 03/23/2024]
Abstract
A recent study by Cheung, Pauler, Koppensteiner et al. combining lineage tracing with single-cell RNA sequencing (scRNA-seq) has revealed unexpected features of the developing superior colliculus (SC). Extremely multipotent individual progenitors generate all types of SC neurons and glial cells that were found to localize in a non-predetermined pattern, demonstrating a remarkable degree of unpredictability in SC development.
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Affiliation(s)
- Andrii Rudenko
- Department of Biology, Graduate Programs in Biology and Biochemistry, City College and City University of New York, New York, NY, USA.
| | - In-Jung Kim
- Department of Ophthalmology and Visual Science, Yale University School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA; Wu Tsai Institute, Yale University, New Haven, CT, USA.
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9
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Amberg N, Cheung G, Hippenmeyer S. Protocol for sorting cells from mouse brains labeled with mosaic analysis with double markers by flow cytometry. STAR Protoc 2024; 5:102771. [PMID: 38070137 PMCID: PMC10755489 DOI: 10.1016/j.xpro.2023.102771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 10/09/2023] [Accepted: 11/22/2023] [Indexed: 01/01/2024] Open
Abstract
Mosaic analysis with double markers (MADM) technology enables the generation of genetic mosaic tissue in mice and high-resolution phenotyping at the individual cell level. Here, we present a protocol for isolating MADM-labeled cells with high yield for downstream molecular analyses using fluorescence-activated cell sorting (FACS). We describe steps for generating MADM-labeled mice, perfusion, single-cell suspension, and debris removal. We then detail procedures for cell sorting by FACS and downstream analysis. This protocol is suitable for embryonic to adult mice. For complete details on the use and execution of this protocol, please refer to Contreras et al. (2021).1.
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Affiliation(s)
- Nicole Amberg
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Giselle Cheung
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria
| | - Simon Hippenmeyer
- Institute of Science and Technology Austria (ISTA), Am Campus 1, 3400 Klosterneuburg, Austria.
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