1
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Viola V, Chinnappa K, Francis F. Radial glia progenitor polarity in health and disease. Front Cell Dev Biol 2024; 12:1478283. [PMID: 39416687 PMCID: PMC11479994 DOI: 10.3389/fcell.2024.1478283] [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: 08/09/2024] [Accepted: 09/20/2024] [Indexed: 10/19/2024] Open
Abstract
Radial glia (RG) are the main progenitor cell type in the developing cortex. These cells are highly polarized, with a long basal process spanning the entire thickness of the cortex and acting as a support for neuronal migration. The RG cell terminates by an endfoot that contacts the pial (basal) surface. A shorter apical process also terminates with an endfoot that faces the ventricle, with a primary cilium protruding in the cerebrospinal fluid. These cell domains have particular subcellular compositions that are critical for the correct functioning of RG. When altered, this can affect proper development of the cortex, ultimately leading to cortical malformations, associated with different pathological outcomes. In this review, we focus on the current knowledge concerning the cell biology of these bipolar stem cells and discuss the role of their polarity in health and disease.
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Affiliation(s)
- Valeria Viola
- Institut du Fer à Moulin, Paris, France
- Institut National de Santé et de Recherche Médicale (INSERM, UMR-S 1270), Paris, France
- Faculty of Science and Engineering, Sorbonne University, Paris, France
| | - Kaviya Chinnappa
- Institut du Fer à Moulin, Paris, France
- Institut National de Santé et de Recherche Médicale (INSERM, UMR-S 1270), Paris, France
- Faculty of Science and Engineering, Sorbonne University, Paris, France
| | - Fiona Francis
- Institut du Fer à Moulin, Paris, France
- Institut National de Santé et de Recherche Médicale (INSERM, UMR-S 1270), Paris, France
- Faculty of Science and Engineering, Sorbonne University, Paris, France
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2
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Tschuck J, Padmanabhan Nair V, Galhoz A, Zaratiegui C, Tai HM, Ciceri G, Rothenaigner I, Tchieu J, Stockwell BR, Studer L, Cabianca DS, Menden MP, Vincendeau M, Hadian K. Suppression of ferroptosis by vitamin A or radical-trapping antioxidants is essential for neuronal development. Nat Commun 2024; 15:7611. [PMID: 39218970 PMCID: PMC11366759 DOI: 10.1038/s41467-024-51996-1] [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: 08/16/2023] [Accepted: 08/22/2024] [Indexed: 09/04/2024] Open
Abstract
The development of functional neurons is a complex orchestration of multiple signaling pathways controlling cell proliferation and differentiation. Because the balance of antioxidants is important for neuronal survival and development, we hypothesized that ferroptosis must be suppressed to gain neurons. We find that removal of antioxidants diminishes neuronal development and laminar organization of cortical organoids, which is fully restored when ferroptosis is inhibited by ferrostatin-1 or when neuronal differentiation occurs in the presence of vitamin A. Furthermore, iron-overload-induced developmental growth defects in C. elegans are ameliorated by vitamin E and A. We determine that all-trans retinoic acid activates the Retinoic Acid Receptor, which orchestrates the expression of anti-ferroptotic genes. In contrast, retinal and retinol show radical-trapping antioxidant activity. Together, our study reveals an unexpected function of vitamin A in coordinating the expression of essential cellular gatekeepers of ferroptosis, and demonstrates that suppression of ferroptosis by radical-trapping antioxidants or by vitamin A is required to obtain mature neurons and proper laminar organization in cortical organoids.
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Affiliation(s)
- Juliane Tschuck
- Research Unit Signaling and Translation, Helmholtz Zentrum München, Neuherberg, Germany
| | - Vidya Padmanabhan Nair
- Endogenous Retrovirus Group, Institute of Virology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Ana Galhoz
- Computational Health Center, Helmholtz Zentrum München, Neuherberg, Germany
- Department of Biology, Ludwig-Maximilians University Munich, Munich, Germany
| | - Carole Zaratiegui
- Institute of Functional Epigenetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Hin-Man Tai
- Endogenous Retrovirus Group, Institute of Virology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Gabriele Ciceri
- Developmental Biology and Center for Stem Cell Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ina Rothenaigner
- Research Unit Signaling and Translation, Helmholtz Zentrum München, Neuherberg, Germany
| | - Jason Tchieu
- Developmental Biology and Center for Stem Cell Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- UC Department of Pediatrics, Division of Developmental Biology, Cincinnati Children's Hospital Medical, Cincinnati, OH, USA
| | - Brent R Stockwell
- Department of Biological Sciences, Department of Chemistry, Herbert Irving Comprehensive Cancer Center, Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
| | - Lorenz Studer
- Developmental Biology and Center for Stem Cell Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Daphne S Cabianca
- Institute of Functional Epigenetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Michael P Menden
- Computational Health Center, Helmholtz Zentrum München, Neuherberg, Germany
- Department of Biochemistry and Pharmacology, University of Melbourne, Parkville Victoria, Australia
| | - Michelle Vincendeau
- Endogenous Retrovirus Group, Institute of Virology, Helmholtz Zentrum München, Neuherberg, Germany.
- Technical University of Munich, Institute of Virology, School of Medicine, Munich, Germany.
| | - Kamyar Hadian
- Research Unit Signaling and Translation, Helmholtz Zentrum München, Neuherberg, Germany.
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3
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Bu Q, Dai Y, Zhang H, Li M, Liu H, Huang Y, Zeng A, Qin F, Jiang L, Wang L, Chen Y, Li H, Wang X, Zhao Y, Qin M, Zhao Y, Zhang N, Kuang W, Zhao Y, Cen X. Neurodevelopmental defects in human cortical organoids with N-acetylneuraminic acid synthase mutation. SCIENCE ADVANCES 2023; 9:eadf2772. [PMID: 38000033 PMCID: PMC10672180 DOI: 10.1126/sciadv.adf2772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 10/26/2023] [Indexed: 11/26/2023]
Abstract
Biallelic genetic variants in N-acetylneuraminic acid synthase (NANS), a critical enzyme in endogenous sialic acid biosynthesis, are clinically associated with neurodevelopmental disorders. However, the mechanism underlying the neuropathological consequences has remained elusive. Here, we found that NANS mutation resulted in the absence of both sialic acid and protein polysialylation in the cortical organoids and notably reduced the proliferation and expansion of neural progenitors. NANS mutation dysregulated neural migration and differentiation, disturbed synapse formation, and weakened neuronal activity. Single-cell RNA sequencing revealed that NANS loss of function markedly altered transcriptional programs involved in neuronal differentiation and ribosomal biogenesis in various neuronal cell types. Similarly, Nans heterozygous mice exhibited impaired cortical neurogenesis and neurobehavioral deficits. Collectively, our findings reveal a crucial role of NANS-mediated endogenous sialic acid biosynthesis in regulating multiple features of human cortical development, thus linking NANS mutation with its clinically relevant neurodevelopmental disorders.
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Affiliation(s)
- Qian Bu
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- Molecular Toxicology Laboratory of Sichuan Provincial Education office, Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Yanping Dai
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Huaqin Zhang
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Min Li
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Haxiaoyu Liu
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yan Huang
- Molecular Toxicology Laboratory of Sichuan Provincial Education office, Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Ailing Zeng
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Feng Qin
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Linhong Jiang
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Liang Wang
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yaxing Chen
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Hongchun Li
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Xiaojie Wang
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yue Zhao
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Meng Qin
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Ying Zhao
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Ni Zhang
- Mental Health Center of West China Hospital, Sichuan University, Chengdu 610041, China
| | - Weihong Kuang
- Mental Health Center of West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yinglan Zhao
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Xiaobo Cen
- Mental Health Center and National Chengdu Center for Safety Evaluation of Drugs, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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4
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Bressan C, Snapyan M, Snapyan M, Klaus J, di Matteo F, Robertson SP, Treutlein B, Parent M, Cappello S, Saghatelyan A. Metformin rescues migratory deficits of cells derived from patients with periventricular heterotopia. EMBO Mol Med 2023; 15:e16908. [PMID: 37609821 PMCID: PMC10565636 DOI: 10.15252/emmm.202216908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 08/01/2023] [Accepted: 08/10/2023] [Indexed: 08/24/2023] Open
Abstract
Periventricular neuronal heterotopia (PH) is one of the most common forms of cortical malformation in the human cortex. We show that human neuronal progenitor cells (hNPCs) derived from PH patients with a DCHS1 or FAT4 mutation as well as isogenic lines had altered migratory dynamics when grafted in the mouse brain. The affected migration was linked to altered autophagy as observed in vivo with an electron microscopic analysis of grafted hNPCs, a Western blot analysis of cortical organoids, and time-lapse imaging of hNPCs in the presence of bafilomycin A1. We further show that deficits in autophagy resulted in the accumulation of paxillin, a focal adhesion protein involved in cell migration. Strikingly, a single-cell RNA-seq analysis of hNPCs revealed similar expression levels of autophagy-related genes. Bolstering AMPK-dependent autophagy by metformin, an FDA-approved drug, promoted migration of PH patients-derived hNPCs. Our data indicate that transcription-independent homeostatic modifications in autophagy contributed to the defective migratory behavior of hNPCs in vivo and suggest that modulating autophagy in hNPCs might rescue neuronal migration deficits in some forms of PH.
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Affiliation(s)
- Cedric Bressan
- CERVO Brain Research CenterQuebec CityQCCanada
- Université LavalQuebec CityQCCanada
| | - Marta Snapyan
- CERVO Brain Research CenterQuebec CityQCCanada
- Université LavalQuebec CityQCCanada
| | - Marina Snapyan
- CERVO Brain Research CenterQuebec CityQCCanada
- Université LavalQuebec CityQCCanada
- University of OttawaOttawaONCanada
| | | | - Francesco di Matteo
- Max Planck Institute of PsychiatryMunichGermany
- Biomedical Center (BMC)Ludwig Maximilian University of MunichMunichGermany
| | | | - Barbara Treutlein
- Max Planck Institute of Molecular Cell Biology and GeneticsDresdenGermany
| | - Martin Parent
- CERVO Brain Research CenterQuebec CityQCCanada
- Université LavalQuebec CityQCCanada
| | - Silvia Cappello
- Max Planck Institute of PsychiatryMunichGermany
- Biomedical Center (BMC)Ludwig Maximilian University of MunichMunichGermany
| | - Armen Saghatelyan
- CERVO Brain Research CenterQuebec CityQCCanada
- Université LavalQuebec CityQCCanada
- University of OttawaOttawaONCanada
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5
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Stoufflet J, Tielens S, Nguyen L. Shaping the cerebral cortex by cellular crosstalk. Cell 2023; 186:2733-2747. [PMID: 37352835 DOI: 10.1016/j.cell.2023.05.040] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 03/30/2023] [Accepted: 05/26/2023] [Indexed: 06/25/2023]
Abstract
The cerebral cortex is the brain's outermost layer. It is responsible for processing motor and sensory information that support high-level cognitive abilities and shape personality. Its development and functional organization strongly rely on cell communication that is established via an intricate system of diffusible signals and physical contacts during development. Interfering with this cellular crosstalk can cause neurodevelopmental disorders. Here, we review how crosstalk between migrating cells and their environment influences cerebral cortex development, ranging from neurogenesis to synaptogenesis and assembly of cortical circuits.
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Affiliation(s)
- Julie Stoufflet
- Laboratory of Molecular Regulation of Neurogenesis, GIGA-Stem Cells and GIGA-Neurosciences, Interdisciplinary Cluster for Applied Genoproteomics (GIGA-R), University of Liège, CHU Sart Tilman, Liège 4000, Belgium
| | - Sylvia Tielens
- Laboratory of Molecular Regulation of Neurogenesis, GIGA-Stem Cells and GIGA-Neurosciences, Interdisciplinary Cluster for Applied Genoproteomics (GIGA-R), University of Liège, CHU Sart Tilman, Liège 4000, Belgium
| | - Laurent Nguyen
- Laboratory of Molecular Regulation of Neurogenesis, GIGA-Stem Cells and GIGA-Neurosciences, Interdisciplinary Cluster for Applied Genoproteomics (GIGA-R), University of Liège, CHU Sart Tilman, Liège 4000, Belgium; Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Wavres, Belgium.
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6
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Shang MY, Zhang CY, Wu Y, Wang L, Wang C, Li M. Genetic associations between bipolar disorder and brain structural phenotypes. Cereb Cortex 2023:7024717. [PMID: 36734292 DOI: 10.1093/cercor/bhad014] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/12/2023] [Accepted: 01/13/2023] [Indexed: 02/04/2023] Open
Abstract
Patients with bipolar disorder (BD) and their first-degree relatives exhibit alterations in brain volume and cortical structure, whereas the underlying genetic mechanisms remain unclear. In this study, based on the published genome-wide association studies (GWAS), the extent of polygenic overlap between BD and 15 brain structural phenotypes was investigated using linkage disequilibrium score regression and MiXeR tool, and the shared genomic loci were discovered by conjunctional false discovery rate (conjFDR) and expression quantitative trait loci (eQTL) analyses. MiXeR estimated the overall measure of polygenic overlap between BD and brain structural phenotypes as 4-53% on a 0-100% scale (as quantified by the Dice coefficient). Subsequent conjFDR analyses identified 54 independent loci (71 risk single-nucleotide polymorphisms) jointly associated with BD and brain structural phenotypes with a conjFDR < 0.05, among which 33 were novel that had not been reported in the previous BD GWAS. Follow-up eQTL analyses in respective brain regions both confirmed well-known risk genes (e.g. CACNA1C, NEK4, GNL3, MAPK3) and discovered novel risk genes (e.g. LIMK2 and CAMK2N2). This study indicates a substantial shared genetic basis between BD and brain structural phenotypes, and provides novel insights into the developmental origin of BD and related biological mechanisms.
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Affiliation(s)
- Meng-Yuan Shang
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China.,School of Basic Medical Science, School of Medicine, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, No. 17 Long-Xin Lu, Kunming, 650201, Yunnan, China
| | - Yong Wu
- Research Center for Mental Health and Neuroscience, Wuhan Mental Health Center, No. 920 Jianshe Road, Wuhan, 430012, Hubei, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, No. 17 Long-Xin Lu, Kunming, 650201, Yunnan, China
| | - Chuang Wang
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China.,School of Basic Medical Science, School of Medicine, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, No. 17 Long-Xin Lu, Kunming, 650201, Yunnan, China
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7
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D’Arcy BR, Lennox AL, Manso Musso C, Bracher A, Escobar-Tomlienovich C, Perez-Sanchez S, Silver DL. Non-muscle myosins control radial glial basal endfeet to mediate interneuron organization. PLoS Biol 2023; 21:e3001926. [PMID: 36854011 PMCID: PMC9974137 DOI: 10.1371/journal.pbio.3001926] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 01/17/2023] [Indexed: 03/02/2023] Open
Abstract
Radial glial cells (RGCs) are essential for the generation and organization of neurons in the cerebral cortex. RGCs have an elongated bipolar morphology with basal and apical endfeet that reside in distinct niches. Yet, how this subcellular compartmentalization of RGCs controls cortical development is largely unknown. Here, we employ in vivo proximity labeling, in the mouse, using unfused BirA to generate the first subcellular proteome of RGCs and uncover new principles governing local control of cortical development. We discover a cohort of proteins that are significantly enriched in RGC basal endfeet, with MYH9 and MYH10 among the most abundant. Myh9 and Myh10 transcripts also localize to endfeet with distinct temporal dynamics. Although they each encode isoforms of non-muscle myosin II heavy chain, Myh9 and Myh10 have drastically different requirements for RGC integrity. Myh9 loss from RGCs decreases branching complexity and causes endfoot protrusion through the basement membrane. In contrast, Myh10 controls endfoot adhesion, as mutants have unattached apical and basal endfeet. Finally, we show that Myh9- and Myh10-mediated regulation of RGC complexity and endfoot position non-cell autonomously controls interneuron number and organization in the marginal zone. Our study demonstrates the utility of in vivo proximity labeling for dissecting local control of complex systems and reveals new mechanisms for dictating RGC integrity and cortical architecture.
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Affiliation(s)
- Brooke R. D’Arcy
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Ashley L. Lennox
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Camila Manso Musso
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Annalise Bracher
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Carla Escobar-Tomlienovich
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Stephany Perez-Sanchez
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Debra L. Silver
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, United States of America
- Department of Cell Biology, Duke University Medical Center, Durham, North Carolina, United States of America
- Department of Neurobiology, Duke University Medical Center, Durham, North Carolina, United States of America
- Duke Institute for Brain Sciences, Duke University Medical Center, Durham, North Carolina, United States of America
- Duke Regeneration Center, Duke University Medical Center, Durham, North Carolina, United States of America
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8
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Ji XS, Ji XL, Xiong M, Zhou WH. Modeling congenital brain malformations with brain organoids: a narrative review. Transl Pediatr 2023; 12:68-78. [PMID: 36798935 PMCID: PMC9926131 DOI: 10.21037/tp-22-239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 11/10/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND AND OBJECTIVE During embryonic development, the dysregulation of the proliferation and differentiation of neuronal progenitors triggers congenital brain malformations. These malformations are common causes of morbidity and mortality in patients younger than 2 years old. Animal models have provided considerable insights into the etiology of diseases that cause congenital brain malformations. However, the interspecies differences in brain structure limit the ability to transfer these insights directly to studies of humans. In recent years, brain organoids generated from human embryonic stem cells (hESCs) or human induced pluripotent stem cells (hiPSCs) using a 3-dimensional (3D) culture system have been used to resemble the structure and function of a developing human brain. Therefore, we aimed to summarize the different congenital brain malformations that have been modeled by organoids and discuss the ability of this model to reveal the cellular and molecular mechanisms of congenital brain malformations. METHODS A comprehensive search was performed using PubMed and Web of Science's Core Collection for literature published from July 1, 2000 to July 1, 2022. Keywords included terms related to brain organoids and congenital brain malformations, as well as names of individual malformations. KEY CONTENT AND FINDINGS The self-assembled 3D aggregates have been used to recapitulate structural malformations of human brains, such as microcephaly, macrocephaly, lissencephaly (LIS), and periventricular nodular heterotopia (PH). The use of disease-specific brain organoids has revealed unprecedented details of mechanisms that cause congenital brain malformations. CONCLUSIONS This review summarizes the establishment and development of brain organoid technologies and provides an overview of their applications in modeling congenital brain malformations. Although several hurdles still need to be overcome, using brain organoids has greatly expanded our ability to reveal the pathogenesis of congenital brain malformations. Compared with existing methods, the combination with cutting-edge technologies enables a more accurate diagnosis and development of increasingly personalized targeted therapy for patients with congenital brain diseases.
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Affiliation(s)
- Xiao-Shan Ji
- Department of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.,Key Laboratory of Birth Defects, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Xiao-Li Ji
- Department of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.,Key Laboratory of Birth Defects, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
| | - Man Xiong
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Wen-Hao Zhou
- Department of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.,Key Laboratory of Birth Defects, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China
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Saunders GRB, Wang X, Chen F, Jang SK, Liu M, Wang C, Gao S, Jiang Y, Khunsriraksakul C, Otto JM, Addison C, Akiyama M, Albert CM, Aliev F, Alonso A, Arnett DK, Ashley-Koch AE, Ashrani AA, Barnes KC, Barr RG, Bartz TM, Becker DM, Bielak LF, Benjamin EJ, Bis JC, Bjornsdottir G, Blangero J, Bleecker ER, Boardman JD, Boerwinkle E, Boomsma DI, Boorgula MP, Bowden DW, Brody JA, Cade BE, Chasman DI, Chavan S, Chen YDI, Chen Z, Cheng I, Cho MH, Choquet H, Cole JW, Cornelis MC, Cucca F, Curran JE, de Andrade M, Dick DM, Docherty AR, Duggirala R, Eaton CB, Ehringer MA, Esko T, Faul JD, Fernandes Silva L, Fiorillo E, Fornage M, Freedman BI, Gabrielsen ME, Garrett ME, Gharib SA, Gieger C, Gillespie N, Glahn DC, Gordon SD, Gu CC, Gu D, Gudbjartsson DF, Guo X, Haessler J, Hall ME, Haller T, Harris KM, He J, Herd P, Hewitt JK, Hickie I, Hidalgo B, Hokanson JE, Hopfer C, Hottenga J, Hou L, Huang H, Hung YJ, Hunter DJ, Hveem K, Hwang SJ, Hwu CM, Iacono W, Irvin MR, Jee YH, Johnson EO, Joo YY, Jorgenson E, Justice AE, Kamatani Y, Kaplan RC, Kaprio J, Kardia SLR, Keller MC, Kelly TN, Kooperberg C, Korhonen T, Kraft P, Krauter K, Kuusisto J, Laakso M, Lasky-Su J, Lee WJ, Lee JJ, Levy D, Li L, Li K, Li Y, Lin K, Lind PA, Liu C, Lloyd-Jones DM, Lutz SM, Ma J, Mägi R, Manichaikul A, Martin NG, Mathur R, Matoba N, McArdle PF, McGue M, McQueen MB, Medland SE, Metspalu A, Meyers DA, Millwood IY, Mitchell BD, Mohlke KL, Moll M, Montasser ME, Morrison AC, Mulas A, Nielsen JB, North KE, Oelsner EC, Okada Y, Orrù V, Palmer ND, Palviainen T, Pandit A, Park SL, Peters U, Peters A, Peyser PA, Polderman TJC, Rafaels N, Redline S, Reed RM, Reiner AP, Rice JP, Rich SS, Richmond NE, Roan C, Rotter JI, Rueschman MN, Runarsdottir V, Saccone NL, Schwartz DA, Shadyab AH, Shi J, Shringarpure SS, Sicinski K, Skogholt AH, Smith JA, Smith NL, Sotoodehnia N, Stallings MC, Stefansson H, Stefansson K, Stitzel JA, Sun X, Syed M, Tal-Singer R, Taylor AE, Taylor KD, Telen MJ, Thai KK, Tiwari H, Turman C, Tyrfingsson T, Wall TL, Walters RG, Weir DR, Weiss ST, White WB, Whitfield JB, Wiggins KL, Willemsen G, Willer CJ, Winsvold BS, Xu H, Yanek LR, Yin J, Young KL, Young KA, Yu B, Zhao W, Zhou W, Zöllner S, Zuccolo L, Batini C, Bergen AW, Bierut LJ, David SP, Gagliano Taliun SA, Hancock DB, Jiang B, Munafò MR, Thorgeirsson TE, Liu DJ, Vrieze S. Genetic diversity fuels gene discovery for tobacco and alcohol use. Nature 2022; 612:720-724. [PMID: 36477530 PMCID: PMC9771818 DOI: 10.1038/s41586-022-05477-4] [Citation(s) in RCA: 165] [Impact Index Per Article: 82.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 10/25/2022] [Indexed: 12/12/2022]
Abstract
Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of worldwide deaths, respectively, due largely to broad increased risk for disease and injury1-4. These substances are used across the globe, yet genome-wide association studies have focused largely on individuals of European ancestries5. Here we leveraged global genetic diversity across 3.4 million individuals from four major clines of global ancestry (approximately 21% non-European) to power the discovery and fine-mapping of genomic loci associated with tobacco and alcohol use, to inform function of these loci via ancestry-aware transcriptome-wide association studies, and to evaluate the genetic architecture and predictive power of polygenic risk within and across populations. We found that increases in sample size and genetic diversity improved locus identification and fine-mapping resolution, and that a large majority of the 3,823 associated variants (from 2,143 loci) showed consistent effect sizes across ancestry dimensions. However, polygenic risk scores developed in one ancestry performed poorly in others, highlighting the continued need to increase sample sizes of diverse ancestries to realize any potential benefit of polygenic prediction.
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Affiliation(s)
| | - Xingyan Wang
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Fang Chen
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Seon-Kyeong Jang
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Mengzhen Liu
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Chen Wang
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Shuang Gao
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Yu Jiang
- Department of Epidemiology & Population Health at Stanford University, Stanford, CA, USA
| | | | - Jacqueline M Otto
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Clifton Addison
- Jackson Heart Study (JHS) Graduate Training and Education Center (GTEC), Department of Epidemiology and Biostatistics, School of Public Health, Jackson State University, Jackson, MS, USA
| | - Masato Akiyama
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Ocular Pathology and Imaging Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Christine M Albert
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Fazil Aliev
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Donna K Arnett
- Dean's Office and Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Allison E Ashley-Koch
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University School of Medicine, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Aneel A Ashrani
- Division of Hematology, Department of Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Tempus, Chicago, IL, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Diane M Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Emelia J Benjamin
- Department of Medicine, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | | | - Jason D Boardman
- Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Dorret I Boomsma
- Netherlands Twin Register, Dept Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Meher Preethi Boorgula
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sameer Chavan
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iona Cheng
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Hélène Choquet
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, USA
| | - John W Cole
- Department of Neurology, Baltimore Veterans Affairs Medical Center, Baltimore, MD, USA
- Division of Vascular Neurology, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Marilyn C Cornelis
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Mariza de Andrade
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, MN, USA
| | - Danielle M Dick
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Anna R Docherty
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Virginia, USA
- Huntsman Mental Health Institute, Salt Lake City, UT, USA
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Charles B Eaton
- Department of Family Medicine, Brown University, Providence, RI, USA
| | - Marissa A Ehringer
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Tõnu Esko
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Lilian Fernandes Silva
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Edoardo Fiorillo
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Italy
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Barry I Freedman
- Department of Internal Medicine-Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Maiken E Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Melanie E Garrett
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University School of Medicine, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Sina A Gharib
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
- Center for Lung Biology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Nathan Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Virginia, USA
| | - David C Glahn
- Department of Psychiatry & Behavioral Sciences, Boston Children's Hospital & Harvard Medical School, Boston, MA, USA
| | - Scott D Gordon
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Charles C Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Dongfeng Gu
- Department of Epidemiology and Key Laboratory of Cardiovascular Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Daniel F Gudbjartsson
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jeffrey Haessler
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Michael E Hall
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Toomas Haller
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Kathleen Mullan Harris
- Department of Sociology and the Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - Jiang He
- Department of Epidemiology, Tulane University, New Orleans, LA, USA
- Translational Sciences Institute, Tulane University, New Orleans, LA, USA
| | - Pamela Herd
- McCourt School of Public Policy, Georgetown University, Washington, DC, USA
| | - John K Hewitt
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department Of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Ian Hickie
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Bertha Hidalgo
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - John E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Christian Hopfer
- Department of Psychiatry, University of Colorado Anschutz Medical Center, Denver, CO, USA
| | - JoukeJan Hottenga
- Netherlands Twin Register, Dept Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Hongyan Huang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yi-Jen Hung
- Institute of Preventive Medicine, National Defense Medical Center, New Taipei City, Taiwan
| | - David J Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Center, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Research, Innovation and Education, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Shih-Jen Hwang
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Chii-Min Hwu
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - William Iacono
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Yon Ho Jee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric O Johnson
- GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, USA
- Fellow Program, RTI International, Research Triangle Park, NC, USA
| | - Yoonjung Y Joo
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Institute of Data Science, Korea University, Seoul, South Korea
| | | | - Anne E Justice
- Department of Population Health Sciences, Geisinger, Danville, PA, USA
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Robert C Kaplan
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Helsinki, Finland
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Matthew C Keller
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department Of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Tanika N Kelly
- Department of Epidemiology, Tulane University, New Orleans, LA, USA
- Translational Sciences Institute, Tulane University, New Orleans, LA, USA
| | - Charles Kooperberg
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tellervo Korhonen
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Helsinki, Finland
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kenneth Krauter
- Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO, USA
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
- Center for Medicine and Clinical Research, Kuopio University Hospital, Kuopio, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Jessica Lasky-Su
- Brigham and Women's Hospital, Department of Medicine, Channing Division of Network Medicine, Boston, MA, USA
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung City, Taiwan
| | - James J Lee
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Kevin Li
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Yuqing Li
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
| | - Kuang Lin
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, Australia
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Donald M Lloyd-Jones
- Departments of Preventive Medicine, Medicine, and Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sharon M Lutz
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Biostatics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jiantao Ma
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Division of Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Reedik Mägi
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Ravi Mathur
- GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, USA
| | - Nana Matoba
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Genetics, UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Patrick F McArdle
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Matthew B McQueen
- Department of Integrative Physiology, University of Colorado, Boulder, CO, USA
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | | | - Iona Y Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Braxton D Mitchell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - May E Montasser
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Antonella Mulas
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Italy
| | - Jonas B Nielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Yukinori Okada
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
| | - Valeria Orrù
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Italy
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland - FIMM, University of Helsinki, Helsinki, Finland
| | - Anita Pandit
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - S Lani Park
- Population Sciences of the Pacific Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
- German Centre for Cardiovascular Research, DZHK, Partner Site Munich, Munich, Germany
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Tinca J C Polderman
- Department of Clinical Developmental Psychology, Vrije Universiteit, Amsterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Amsterdam UMC, Amsterdam, The Netherlands
| | - Nicholas Rafaels
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Robert M Reed
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alex P Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - John P Rice
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Nicole E Richmond
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Carol Roan
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Michael N Rueschman
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Nancy L Saccone
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - David A Schwartz
- Division of Pulmonary Sciences and Critical Care Medicine; Department of Medicine and Immunology, University of Colorado, Aurora, CO, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | | | | | - Kamil Sicinski
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, USA
| | - Anne Heidi Skogholt
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Michael C Stallings
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department Of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | | | - Kari Stefansson
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Jerry A Stitzel
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Xiao Sun
- Department of Epidemiology, Tulane University, New Orleans, LA, USA
| | - Moin Syed
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | - Amy E Taylor
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
- National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Marilyn J Telen
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University School of Medicine, Durham, NC, USA
| | - Khanh K Thai
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, USA
| | - Hemant Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Tamara L Wall
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Robin G Walters
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Scott T Weiss
- Brigham and Women's Hospital, Department of Medicine, Channing Division of Network Medicine, Boston, MA, USA
| | - Wendy B White
- Jackson Heart Study Undergraduate Training and Education Center, Tougaloo College, Tougaloo, MS, USA
| | - John B Whitfield
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Kerri L Wiggins
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Gonneke Willemsen
- Netherlands Twin Register, Dept Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Cristen J Willer
- Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Bendik S Winsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Huichun Xu
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jie Yin
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, USA
| | - Kristin L Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kendra A Young
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Bing Yu
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Wei Zhou
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Sebastian Zöllner
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Luisa Zuccolo
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Health Data Science Centre, Fondazione Human Technopole, Milan, Italy
| | - Chiara Batini
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Andrew W Bergen
- Oregon Research Institute, Springfield, OR, USA
- BioRealm, LLC, Walnut, CA, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Sean P David
- Outcomes Research Network & Department of Family Medicine, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Family Medicine, University of Chicago, Chicago, IL, USA
| | - Sarah A Gagliano Taliun
- Department of Medicine, Université de Montréal, Montréal, Québec, Canada
- Department of Neurosciences, Université de Montréal, Montréal, Québec, Canada
- Research Centre, Montréal Heart Institute, Montréal, Québec, Canada
| | - Dana B Hancock
- GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, USA
| | - Bibo Jiang
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Marcus R Munafò
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
- National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
- School of Psychological Science, University of Bristol, Bristol, UK
| | | | - Dajiang J Liu
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
| | - Scott Vrieze
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA.
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10
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Damianidou E, Mouratidou L, Kyrousi C. Research models of neurodevelopmental disorders: The right model in the right place. Front Neurosci 2022; 16:1031075. [PMID: 36340790 PMCID: PMC9630472 DOI: 10.3389/fnins.2022.1031075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 10/07/2022] [Indexed: 11/25/2022] Open
Abstract
Neurodevelopmental disorders (NDDs) are a heterogeneous group of impairments that affect the development of the central nervous system leading to abnormal brain function. NDDs affect a great percentage of the population worldwide, imposing a high societal and economic burden and thus, interest in this field has widely grown in recent years. Nevertheless, the complexity of human brain development and function as well as the limitations regarding human tissue usage make their modeling challenging. Animal models play a central role in the investigation of the implicated molecular and cellular mechanisms, however many of them display key differences regarding human phenotype and in many cases, they partially or completely fail to recapitulate them. Although in vitro two-dimensional (2D) human-specific models have been highly used to address some of these limitations, they lack crucial features such as complexity and heterogeneity. In this review, we will discuss the advantages, limitations and future applications of in vivo and in vitro models that are used today to model NDDs. Additionally, we will describe the recent development of 3-dimensional brain (3D) organoids which offer a promising approach as human-specific in vitro models to decipher these complex disorders.
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Affiliation(s)
- Eleni Damianidou
- University Mental Health, Neurosciences and Precision Medicine Research Institute “Costas Stefanis”, Athens, Greece
| | - Lidia Mouratidou
- University Mental Health, Neurosciences and Precision Medicine Research Institute “Costas Stefanis”, Athens, Greece
- First Department of Psychiatry, Medical School, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Christina Kyrousi
- University Mental Health, Neurosciences and Precision Medicine Research Institute “Costas Stefanis”, Athens, Greece
- First Department of Psychiatry, Medical School, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
- *Correspondence: Christina Kyrousi,
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11
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Zhang W, Wang H, Brandt DYC, Hu B, Sheng J, Wang M, Luo H, Li Y, Guo S, Sheng B, Zeng Q, Peng K, Zhao D, Jian S, Wu D, Wang J, Zhao G, Ren J, Shi W, van Esch JHM, Klingunga S, Nielsen R, Hong Y. The genetic architecture of phenotypic diversity in the Betta fish ( Betta splendens). SCIENCE ADVANCES 2022; 8:eabm4955. [PMID: 36129976 PMCID: PMC9491723 DOI: 10.1126/sciadv.abm4955] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 08/03/2022] [Indexed: 05/28/2023]
Abstract
The Betta fish displays a remarkable variety of phenotypes selected during domestication. However, the genetic basis underlying these traits remains largely unexplored. Here, we report a high-quality genome assembly and resequencing of 727 individuals representing diverse morphotypes of the Betta fish. We show that current breeds have a complex domestication history with extensive introgression with wild species. Using a genome-wide association study, we identify the genetic basis of multiple traits, including coloration patterns, the "Dumbo" phenotype with pectoral fin outgrowth, extraordinary enlargement of body size that we map to a major locus on chromosome 8, the sex determination locus that we map to dmrt1, and the long-fin phenotype that maps to the locus containing kcnj15. We also identify a polygenic signal related to aggression, involving multiple neural system-related genes such as esyt2, apbb2, and pank2. Our study provides a resource for developing the Betta fish as a genetic model for morphological and behavioral research in vertebrates.
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Affiliation(s)
- Wanchang Zhang
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Hongru Wang
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Débora Y. C. Brandt
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Beijuan Hu
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Junqing Sheng
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Mengnan Wang
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Haijiang Luo
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Yahui Li
- Department of Molecular, Cell and Systems Biology, University of California, Riverside, Riverside, CA 92521, USA
| | - Shujie Guo
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Bin Sheng
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Qi Zeng
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Kou Peng
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Daxian Zhao
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Shaoqing Jian
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Di Wu
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Junhua Wang
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Guang Zhao
- School of Life Sciences, Nanchang University, Nanchang 330031, China
| | - Jun Ren
- College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Wentian Shi
- Faculty of Philosophy, University of Tübingen, Tübingen 72074, Germany
| | - Joep H. M. van Esch
- Biology and Medical Laboratory Research, Rotterdam University of Applied Sciences, Rotterdam 3015, Netherlands
| | - Sirawut Klingunga
- Aquatic Molecular Genetics and Biotechnology Research Team, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand
| | - Rasmus Nielsen
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720, USA
- Globe Institute, University of Copenhagen, Copenhagen DK-1165, Denmark
| | - Yijiang Hong
- School of Life Sciences, Nanchang University, Nanchang 330031, China
- Key Laboratory of Aquatic Resources and Utilization, Nanchang University, Nanchang 330031, China
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12
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Fasano G, Compagnucci C, Dallapiccola B, Tartaglia M, Lauri A. Teleost Fish and Organoids: Alternative Windows Into the Development of Healthy and Diseased Brains. Front Mol Neurosci 2022; 15:855786. [PMID: 36034498 PMCID: PMC9403253 DOI: 10.3389/fnmol.2022.855786] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
The variety in the display of animals’ cognition, emotions, and behaviors, typical of humans, has its roots within the anterior-most part of the brain: the forebrain, giving rise to the neocortex in mammals. Our understanding of cellular and molecular events instructing the development of this domain and its multiple adaptations within the vertebrate lineage has progressed in the last decade. Expanding and detailing the available knowledge on regionalization, progenitors’ behavior and functional sophistication of the forebrain derivatives is also key to generating informative models to improve our characterization of heterogeneous and mechanistically unexplored cortical malformations. Classical and emerging mammalian models are irreplaceable to accurately elucidate mechanisms of stem cells expansion and impairments of cortex development. Nevertheless, alternative systems, allowing a considerable reduction of the burden associated with animal experimentation, are gaining popularity to dissect basic strategies of neural stem cells biology and morphogenesis in health and disease and to speed up preclinical drug testing. Teleost vertebrates such as zebrafish, showing conserved core programs of forebrain development, together with patients-derived in vitro 2D and 3D models, recapitulating more accurately human neurogenesis, are now accepted within translational workflows spanning from genetic analysis to functional investigation. Here, we review the current knowledge of common and divergent mechanisms shaping the forebrain in vertebrates, and causing cortical malformations in humans. We next address the utility, benefits and limitations of whole-brain/organism-based fish models or neuronal ensembles in vitro for translational research to unravel key genes and pathological mechanisms involved in neurodevelopmental diseases.
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13
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Kaluthantrige Don F, Kalebic N. Forebrain Organoids to Model the Cell Biology of Basal Radial Glia in Neurodevelopmental Disorders and Brain Evolution. Front Cell Dev Biol 2022; 10:917166. [PMID: 35774229 PMCID: PMC9237216 DOI: 10.3389/fcell.2022.917166] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 05/23/2022] [Indexed: 12/13/2022] Open
Abstract
The acquisition of higher intellectual abilities that distinguish humans from their closest relatives correlates greatly with the expansion of the cerebral cortex. This expansion is a consequence of an increase in neuronal cell production driven by the higher proliferative capacity of neural progenitor cells, in particular basal radial glia (bRG). Furthermore, when the proliferation of neural progenitor cells is impaired and the final neuronal output is altered, severe neurodevelopmental disorders can arise. To effectively study the cell biology of human bRG, genetically accessible human experimental models are needed. With the pioneering success to isolate and culture pluripotent stem cells in vitro, we can now routinely investigate the developing human cerebral cortex in a dish using three-dimensional multicellular structures called organoids. Here, we will review the molecular and cell biological features of bRG that have recently been elucidated using brain organoids. We will further focus on the application of this simple model system to study in a mechanistically actionable way the molecular and cellular events in bRG that can lead to the onset of various neurodevelopmental diseases.
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14
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Drongitis D, Caterino M, Verrillo L, Santonicola P, Costanzo M, Poeta L, Attianese B, Barra A, Terrone G, Lioi MB, Paladino S, Di Schiavi E, Costa V, Ruoppolo M, Miano MG. Deregulation of microtubule organization and RNA metabolism in Arx models for lissencephaly and developmental epileptic encephalopathy. Hum Mol Genet 2022; 31:1884-1908. [PMID: 35094084 PMCID: PMC9169459 DOI: 10.1093/hmg/ddac028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 01/10/2022] [Accepted: 01/26/2022] [Indexed: 11/18/2022] Open
Abstract
X-linked lissencephaly with abnormal genitalia (XLAG) and developmental epileptic encephalopathy-1 (DEE1) are caused by mutations in the Aristaless-related homeobox (ARX) gene, which encodes a transcription factor responsible for brain development. It has been unknown whether the phenotypically diverse XLAG and DEE1 phenotypes may converge on shared pathways. To address this question, a label-free quantitative proteomic approach was applied to the neonatal brain of Arx knockout (ArxKO/Y) and knock-in polyalanine (Arx(GCG)7/Y) mice that are respectively models for XLAG and DEE1. Gene ontology and protein-protein interaction analysis revealed that cytoskeleton, protein synthesis and splicing control are deregulated in an allelic-dependent manner. Decreased α-tubulin content was observed both in Arx mice and Arx/alr-1(KO) Caenorhabditis elegans ,and a disorganized neurite network in murine primary neurons was consistent with an allelic-dependent secondary tubulinopathy. As distinct features of Arx(GCG)7/Y mice, we detected eIF4A2 overexpression and translational suppression in cortex and primary neurons. Allelic-dependent differences were also established in alternative splicing (AS) regulated by PUF60 and SAM68. Abnormal AS repertoires in Neurexin-1, a gene encoding multiple pre-synaptic organizers implicated in synaptic remodelling, were detected in Arx/alr-1(KO) animals and in Arx(GCG)7/Y epileptogenic brain areas and depolarized cortical neurons. Consistent with a conserved role of ARX in modulating AS, we propose that the allelic-dependent secondary synaptopathy results from an aberrant Neurexin-1 repertoire. Overall, our data reveal alterations mirroring the overlapping and variant effects caused by null and polyalanine expanded mutations in ARX. The identification of these effects can aid in the design of pathway-guided therapy for ARX endophenotypes and NDDs with overlapping comorbidities.
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Affiliation(s)
- Denise Drongitis
- Institute of Genetics and Biophysics ``Adriano Buzzati-Traverso'', National Research Council of Italy, 80131, Naples, Italy
| | - Marianna Caterino
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, 80131 Naples, Italy
- CEINGE - Biotecnologie Avanzate s.c.a.r.l., 80145 Naples, Italy
| | - Lucia Verrillo
- Institute of Genetics and Biophysics ``Adriano Buzzati-Traverso'', National Research Council of Italy, 80131, Naples, Italy
| | - Pamela Santonicola
- Institute of Biosciences and BioResources, National Research Council of Italy, 80131, Naples, Italy
| | - Michele Costanzo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, 80131 Naples, Italy
- CEINGE - Biotecnologie Avanzate s.c.a.r.l., 80145 Naples, Italy
| | - Loredana Poeta
- Institute of Genetics and Biophysics ``Adriano Buzzati-Traverso'', National Research Council of Italy, 80131, Naples, Italy
- Department of Science, University of Basilicata, 85100 Potenza, Italy
| | - Benedetta Attianese
- Institute of Genetics and Biophysics ``Adriano Buzzati-Traverso'', National Research Council of Italy, 80131, Naples, Italy
| | - Adriano Barra
- Institute of Genetics and Biophysics ``Adriano Buzzati-Traverso'', National Research Council of Italy, 80131, Naples, Italy
| | - Gaetano Terrone
- Department of Translational Medicine, Child Neurology Unit, University of Naples “Federico II”, 80131 Naples, Italy
| | | | - Simona Paladino
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, 80131 Naples, Italy
| | - Elia Di Schiavi
- Institute of Biosciences and BioResources, National Research Council of Italy, 80131, Naples, Italy
| | - Valerio Costa
- Institute of Genetics and Biophysics ``Adriano Buzzati-Traverso'', National Research Council of Italy, 80131, Naples, Italy
| | - Margherita Ruoppolo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, 80131 Naples, Italy
- CEINGE - Biotecnologie Avanzate s.c.a.r.l., 80145 Naples, Italy
| | - Maria Giuseppina Miano
- Institute of Genetics and Biophysics ``Adriano Buzzati-Traverso'', National Research Council of Italy, 80131, Naples, Italy
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15
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Ketamine exerts its sustained antidepressant effects via cell-type-specific regulation of Kcnq2. Neuron 2022; 110:2283-2298.e9. [PMID: 35649415 DOI: 10.1016/j.neuron.2022.05.001] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 03/01/2022] [Accepted: 05/02/2022] [Indexed: 12/20/2022]
Abstract
A single sub-anesthetic dose of ketamine produces a rapid and sustained antidepressant response, yet the molecular mechanisms responsible for this remain unclear. Here, we identified cell-type-specific transcriptional signatures associated with a sustained ketamine response in mice. Most interestingly, we identified the Kcnq2 gene as an important downstream regulator of ketamine action in glutamatergic neurons of the ventral hippocampus. We validated these findings through a series of complementary molecular, electrophysiological, cellular, pharmacological, behavioral, and functional experiments. We demonstrated that adjunctive treatment with retigabine, a KCNQ activator, augments ketamine's antidepressant-like effects in mice. Intriguingly, these effects are ketamine specific, as they do not modulate a response to classical antidepressants, such as escitalopram. These findings significantly advance our understanding of the mechanisms underlying the sustained antidepressant effects of ketamine, with important clinical implications.
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16
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Fei K, Zhang J, Yuan J, Xiao P. Present Application and Perspectives of Organoid Imaging Technology. Bioengineering (Basel) 2022; 9:121. [PMID: 35324810 PMCID: PMC8945799 DOI: 10.3390/bioengineering9030121] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 02/23/2022] [Accepted: 03/13/2022] [Indexed: 11/18/2022] Open
Abstract
An organoid is a miniaturized and simplified in vitro model with a similar structure and function to a real organ. In recent years, the use of organoids has increased explosively in the field of growth and development, disease simulation, drug screening, cell therapy, etc. In order to obtain necessary information, such as morphological structure, cell function and dynamic signals, it is necessary and important to directly monitor the culture process of organoids. Among different detection technologies, imaging technology is a simple and convenient choice and can realize direct observation and quantitative research. In this review, the principle, advantages and disadvantages of imaging technologies that have been applied in organoids research are introduced. We also offer an overview of prospective technologies for organoid imaging. This review aims to help biologists find appropriate imaging techniques for different areas of organoid research, and also contribute to the development of organoid imaging systems.
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Affiliation(s)
| | | | - Jin Yuan
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-Sen University, Guangzhou 510060, China; (K.F.); (J.Z.)
| | - Peng Xiao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-Sen University, Guangzhou 510060, China; (K.F.); (J.Z.)
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17
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Ossola C, Kalebic N. Roots of the Malformations of Cortical Development in the Cell Biology of Neural Progenitor Cells. Front Neurosci 2022; 15:817218. [PMID: 35069108 PMCID: PMC8766818 DOI: 10.3389/fnins.2021.817218] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 12/14/2021] [Indexed: 12/13/2022] Open
Abstract
The cerebral cortex is a structure that underlies various brain functions, including cognition and language. Mammalian cerebral cortex starts developing during the embryonic period with the neural progenitor cells generating neurons. Newborn neurons migrate along progenitors’ radial processes from the site of their origin in the germinal zones to the cortical plate, where they mature and integrate in the forming circuitry. Cell biological features of neural progenitors, such as the location and timing of their mitoses, together with their characteristic morphologies, can directly or indirectly regulate the abundance and the identity of their neuronal progeny. Alterations in the complex and delicate process of cerebral cortex development can lead to malformations of cortical development (MCDs). They include various structural abnormalities that affect the size, thickness and/or folding pattern of the developing cortex. Their clinical manifestations can entail a neurodevelopmental disorder, such as epilepsy, developmental delay, intellectual disability, or autism spectrum disorder. The recent advancements of molecular and neuroimaging techniques, along with the development of appropriate in vitro and in vivo model systems, have enabled the assessment of the genetic and environmental causes of MCDs. Here we broadly review the cell biological characteristics of neural progenitor cells and focus on those features whose perturbations have been linked to MCDs.
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18
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Zhang YH, Zeng J, Liu XS, Gao Y, Kui XY, Liu XY, Zhang Y, Pei ZJ. ECE2 is a prognostic biomarker associated with m6A modification and involved in immune infiltration of lung adenocarcinoma. Front Endocrinol (Lausanne) 2022; 13:1013238. [PMID: 36299451 PMCID: PMC9588963 DOI: 10.3389/fendo.2022.1013238] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 09/23/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The targeted therapy for lung cancer relies on prognostic genes and requires further research. No research has been conducted to determine the effect of endothelin-converting enzyme 2 (ECE2) in lung cancer. METHODS We analyzed the expression of ECE2 in lung adenocarcinoma (LUAD) and normal adjacent tissues and its relationship with clinicopathological characteristics from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus database (GEO). Immunohistochemical staining was used to further validate the findings. GO/KEGG enrichment analysis and gene set enrichment analysis (GSEA) of ECE2 co-expression were performed using R software. Data from TIMER, the GEPIA database, and TCGA were analyzed to determine the relationship between ECE2 expression and LUAD immune infiltration. To investigate the relationship between ECE2 expression levels and LUAD m6A modification, TCGA data and GEO data were analyzed. RESULTS ECE2 is highly expressed in various cancers including LUAD. ECE2 showed high accuracy in distinguishing tumor and normal sample results. The expression level of ECE2 in LUAD was significantly correlated with tumor stage and prognosis. GO/KEGG enrichment analysis showed that ECE2 was closely related to mitochondrial gene expression, ATPase activity and cell cycle. GSEA analysis showed that ECE2-related differential gene enrichment pathways were related to mitotic cell cycle, MYC pathway, PLK1 pathway, DNA methylation pathway, HIF1A pathway and Oxidative stress-induced cellular senescence. Analysis of the TIMER, GEPIA database, and TCGA datasets showed that ECE2 expression levels were significantly negatively correlated with B cells, CD4+ cells, M2 macrophages, neutrophils, and dendritic cells. TCGA and GEO datasets showed that ECE2 was significantly associated with m6A modification-related genes HNRNPC, IGF2BP1, IGF2BP3 and RBM1. CONCLUSION ECE2 is associated with m6A modification and immune infiltration and is a prognostic biomarker in LUAD.
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Affiliation(s)
- Yao-Hua Zhang
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Jing Zeng
- Department of Infection Control, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Xu-Sheng Liu
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yan Gao
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Xue-Yan Kui
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Xiao-Yu Liu
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Yu Zhang
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Zhi-Jun Pei
- Department of Nuclear Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China
- Hubei Key Laboratory of Embryonic Stem Cell Research, Shiyan, China
- *Correspondence: Zhi-Jun Pei,
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19
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Melliou S, Sangster KT, Djuric U, Diamandis P. The promise of organoids for unraveling the proteomic landscape of the developing human brain. Mol Psychiatry 2022; 27:73-80. [PMID: 34703024 DOI: 10.1038/s41380-021-01354-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 10/04/2021] [Accepted: 10/05/2021] [Indexed: 12/13/2022]
Abstract
Cerebral organoids offer an opportunity to bioengineer experimental avatars of the developing human brain and have already begun garnering relevant insights into complex neurobiological processes and disease. Thus far, investigations into their heterogeneous cellular composition and developmental trajectories have been largely limited to transcriptional readouts. Recent advances in global proteomic technologies have enabled a new range of techniques to explore dynamic and non-overlapping spatiotemporal protein-level programs operational in these humanoid neural structures. Here we discuss these early protein-based studies and their potentially essential role for unraveling critical secreted paracrine signals, processes with poor proteogenomic correlations, or neurodevelopmental proteins requiring post-translational modification for biological activity. Integrating emerging proteomic tools with these faithful human-derived neurodevelopmental models could transform our understanding of complex neural cell phenotypes and neurobiological processes, not exclusively driven by transcriptional regulation. These insights, less accessible by exclusive RNA-based approaches, could reveal new knowledge into human brain development and guide improvements in neural regenerative medicine efforts.
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Affiliation(s)
- Sofia Melliou
- Princess Margaret Cancer Centre, 101 College Street, Toronto, ON, M5G 1L7, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Kevin T Sangster
- Princess Margaret Cancer Centre, 101 College Street, Toronto, ON, M5G 1L7, Canada
| | - Ugljesa Djuric
- Princess Margaret Cancer Centre, 101 College Street, Toronto, ON, M5G 1L7, Canada
| | - Phedias Diamandis
- Princess Margaret Cancer Centre, 101 College Street, Toronto, ON, M5G 1L7, Canada. .,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, M5S 1A8, Canada. .,Laboratory Medicine Program, University Health Network, 200 Elizabeth Street, Toronto, ON, M5G 2C4, Canada. .,Department of Medical Biophysics, University of Toronto, Toronto, ON, M5S 1A8, Canada.
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20
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Bhattacharya A, Choi WWY, Muffat J, Li Y. Modeling Developmental Brain Diseases Using Human Pluripotent Stem Cells-Derived Brain Organoids - Progress and Perspective. J Mol Biol 2021; 434:167386. [PMID: 34883115 DOI: 10.1016/j.jmb.2021.167386] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 11/26/2021] [Accepted: 11/30/2021] [Indexed: 02/07/2023]
Abstract
Developmental brain diseases encompass a group of conditions resulting from genetic or environmental perturbations during early development. Despite the increased research attention in recent years following recognition of the prevalence of these diseases, there is still a significant lack of knowledge of their etiology and treatment options. The genetic and clinical heterogeneity of these diseases, in addition to the limitations of experimental animal models, contribute to this difficulty. In this regard, the advent of brain organoid technology has provided a new means to study the cause and progression of developmental brain diseases in vitro. Derived from human pluripotent stem cells, brain organoids have been shown to recapitulate key developmental milestones of the early human brain. Combined with technological advancements in genome editing, tissue engineering, electrophysiology, and multi-omics analysis, brain organoids have expanded the frontiers of human neurobiology, providing valuable insight into the cellular and molecular mechanisms of normal and pathological brain development. This review will summarize the current progress of applying brain organoids to model human developmental brain diseases and discuss the challenges that need to be overcome to further advance their utility.
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Affiliation(s)
- Afrin Bhattacharya
- Program in Developmental and Stem Cell Biology, The Hospital for Sick Children, 686 Bay Street, Toronto, ON M5G 0A4, Canada; The University of Toronto, Department of Molecular Genetics, 1 King's College Circle, Toronto, ON M5S 1A8, Canada
| | - Wendy W Y Choi
- Program in Developmental and Stem Cell Biology, The Hospital for Sick Children, 686 Bay Street, Toronto, ON M5G 0A4, Canada; The University of Toronto, Department of Molecular Genetics, 1 King's College Circle, Toronto, ON M5S 1A8, Canada; Program in Genetics and Genome Biology, The Hospital for Sick Children, 686 Bay Street, Toronto, ON M5G 0A4, Canada
| | - Julien Muffat
- Program in Developmental and Stem Cell Biology, The Hospital for Sick Children, 686 Bay Street, Toronto, ON M5G 0A4, Canada; The University of Toronto, Department of Molecular Genetics, 1 King's College Circle, Toronto, ON M5S 1A8, Canada; Program in Neurosciences and Mental Health, The Hospital for Sick Children, 686 Bay Street, Toronto, ON M5G 0A4, Canada
| | - Yun Li
- Program in Developmental and Stem Cell Biology, The Hospital for Sick Children, 686 Bay Street, Toronto, ON M5G 0A4, Canada; The University of Toronto, Department of Molecular Genetics, 1 King's College Circle, Toronto, ON M5S 1A8, Canada.
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21
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Kyrousi C, O’Neill AC, Brazovskaja A, He Z, Kielkowski P, Coquand L, Di Giaimo R, D’ Andrea P, Belka A, Forero Echeverry A, Mei D, Lenge M, Cruceanu C, Buchsbaum IY, Khattak S, Fabien G, Binder E, Elmslie F, Guerrini R, Baffet AD, Sieber SA, Treutlein B, Robertson SP, Cappello S. Extracellular LGALS3BP regulates neural progenitor position and relates to human cortical complexity. Nat Commun 2021; 12:6298. [PMID: 34728600 PMCID: PMC8564519 DOI: 10.1038/s41467-021-26447-w] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 09/26/2021] [Indexed: 12/15/2022] Open
Abstract
Basal progenitors (BPs), including intermediate progenitors and basal radial glia, are generated from apical radial glia and are enriched in gyrencephalic species like humans, contributing to neuronal expansion. Shortly after generation, BPs delaminate towards the subventricular zone, where they further proliferate before differentiation. Gene expression alterations involved in BP delamination and function in humans are poorly understood. Here, we study the role of LGALS3BP, so far known as a cancer biomarker, which is a secreted protein enriched in human neural progenitors (NPCs). We show that individuals with LGALS3BP de novo variants exhibit altered local gyrification, sulcal depth, surface area and thickness in their cortex. Additionally, using cerebral organoids, human fetal tissues and mice, we show that LGALS3BP regulates the position of NPCs. Single-cell RNA-sequencing and proteomics reveal that LGALS3BP-mediated mechanisms involve the extracellular matrix in NPCs' anchoring and migration within the human brain. We propose that its temporal expression influences NPCs' delamination, corticogenesis and gyrification extrinsically.
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Affiliation(s)
- Christina Kyrousi
- grid.419548.50000 0000 9497 5095Max Planck Institute of Psychiatry, 80804 Munich, Germany ,grid.5216.00000 0001 2155 0800Present Address: First Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Greece and University Mental Health, Neurosciences and Precision Medicine Research Institute “Costas Stefanis”, Athens, Greece
| | - Adam C. O’Neill
- grid.29980.3a0000 0004 1936 7830Department of Women’s and Children’s Health, University of Otago, 9054 Dunedin, New Zealand
| | - Agnieska Brazovskaja
- grid.419518.00000 0001 2159 1813Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Zhisong He
- grid.419518.00000 0001 2159 1813Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany ,grid.5801.c0000 0001 2156 2780ETH Zurich, Department of Biosystems Science and Engineering, 4058 Basel, Switzerland
| | - Pavel Kielkowski
- grid.6936.a0000000123222966Department of Chemistry, Chair of Organic Chemistry II, Center for Integrated Protein Science (CIPSM), Technische Universität München, Garching, Germany ,grid.5252.00000 0004 1936 973XPresent Address: Department Chemie Ludwig-Maximilians-Universität München Butenandtstr. 5-13, 81377 München, Germany
| | - Laure Coquand
- grid.4444.00000 0001 2112 9282Institut Curie, PSL Research University, CNRS, UMR 144, 26 rue d’Ulm, F-75005 Paris, France
| | - Rossella Di Giaimo
- grid.419548.50000 0000 9497 5095Max Planck Institute of Psychiatry, 80804 Munich, Germany ,grid.4691.a0000 0001 0790 385XDepartment of Biology, University of Naples Federico II, 80126 Naples, Italy
| | - Pierpaolo D’ Andrea
- grid.419548.50000 0000 9497 5095Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Alexander Belka
- grid.419548.50000 0000 9497 5095Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | | | - Davide Mei
- grid.413181.e0000 0004 1757 8562Neuroscience Department, Children’s Hospital A. Meyer-University of Florence, 50139 Florence, Italy
| | - Matteo Lenge
- grid.413181.e0000 0004 1757 8562Neuroscience Department, Children’s Hospital A. Meyer-University of Florence, 50139 Florence, Italy
| | - Cristiana Cruceanu
- grid.419548.50000 0000 9497 5095Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Isabel Y. Buchsbaum
- grid.419548.50000 0000 9497 5095Max Planck Institute of Psychiatry, 80804 Munich, Germany ,grid.5252.00000 0004 1936 973XGraduate School of Systemic Neurosciences, Ludwig-Maximilians-University, 82152 Munich Planegg, Germany
| | - Shahryar Khattak
- grid.4488.00000 0001 2111 7257DFG-Research Center and Cluster of Excellence for Regenerative Therapies (CRTD), School of Medicine, Technical University Dresden, 01307 Dresden, Germany ,grid.4912.e0000 0004 0488 7120Present Address: Royal College of Surgeons Ireland (RCSI) in Bahrain, Adliya, Kingdom of Bahrain
| | - Guimiot Fabien
- grid.50550.350000 0001 2175 4109Unité de Foetopathologie, Assistance Publique-Hôpitaux de Paris, CHU Robert Debré, F-75019 Paris, France
| | - Elisabeth Binder
- grid.419548.50000 0000 9497 5095Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Frances Elmslie
- grid.4464.20000 0001 2161 2573South West Thames Regional Genetics Service, St George’s, University of London, London, SW17 0RE UK
| | - Renzo Guerrini
- grid.413181.e0000 0004 1757 8562Neuroscience Department, Children’s Hospital A. Meyer-University of Florence, 50139 Florence, Italy
| | - Alexandre D. Baffet
- grid.4444.00000 0001 2112 9282Institut Curie, PSL Research University, CNRS, UMR 144, 26 rue d’Ulm, F-75005 Paris, France
| | - Stephan A. Sieber
- grid.6936.a0000000123222966Department of Chemistry, Chair of Organic Chemistry II, Center for Integrated Protein Science (CIPSM), Technische Universität München, Garching, Germany
| | - Barbara Treutlein
- grid.419518.00000 0001 2159 1813Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany ,grid.5801.c0000 0001 2156 2780ETH Zurich, Department of Biosystems Science and Engineering, 4058 Basel, Switzerland
| | - Stephen P. Robertson
- grid.29980.3a0000 0004 1936 7830Department of Women’s and Children’s Health, University of Otago, 9054 Dunedin, New Zealand
| | - Silvia Cappello
- grid.419548.50000 0000 9497 5095Max Planck Institute of Psychiatry, 80804 Munich, Germany
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22
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Vriend I, Oegema R. Genetic causes underlying grey matter heterotopia. Eur J Paediatr Neurol 2021; 35:82-92. [PMID: 34666232 DOI: 10.1016/j.ejpn.2021.09.015] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/21/2021] [Indexed: 11/15/2022]
Abstract
Grey matter heterotopia (GMH) can cause of seizures and are associated with a wide range of neurodevelopmental disorders and syndromes. They are caused by a failure of neuronal migration during fetal development, leading to clusters of neurons that have not reached their final destination in the cerebral cortex. We have performed an extensive literature search in Pubmed, OMIM, and Google scholar and provide an overview of known genetic associations with periventricular nodular heterotopia (PNVH), subcortical band heterotopia (SBH) and other subcortical heterotopia (SUBH). We classified the heterotopias as PVNH, SBH, SUBH or other and collected the genetic information, frequency, imaging features and salient features in tables for every subtype of heterotopia. This resulted in 105 PVNH, 16 SBH and 25 SUBH gene/locus associations, making a total of 146 genes and chromosomal loci. Our study emphasizes the extreme genetic heterogeneity underlying GMH. It will aid the clinician in establishing an differential diagnosis and eventually a molecular diagnosis in GMH patients. A diagnosis enables proper counseling of prognosis and recurrence risks, and enables individualized patient management.
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Affiliation(s)
- Ilona Vriend
- Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Renske Oegema
- Department of Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
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23
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Abstract
The human brain is characterized by the large size and intricate folding of its cerebral cortex, which are fundamental for our higher cognitive function and frequently altered in pathological dysfunction. Cortex folding is not unique to humans, nor even to primates, but is common across mammals. Cortical growth and folding are the result of complex developmental processes that involve neural stem and progenitor cells and their cellular lineages, the migration and differentiation of neurons, and the genetic programs that regulate and fine-tune these processes. All these factors combined generate mechanical stress and strain on the developing neural tissue, which ultimately drives orderly cortical deformation and folding. In this review we examine and summarize the current knowledge on the molecular, cellular, histogenic and mechanical mechanisms that are involved in and influence folding of the cerebral cortex, and how they emerged and changed during mammalian evolution. We discuss the main types of pathological malformations of human cortex folding, their specific developmental origin, and how investigating their genetic causes has illuminated our understanding of key events involved. We close our review by presenting the state-of-the-art animal and in vitro models of cortex folding that are currently used to study these devastating developmental brain disorders in children, and what are the main challenges that remain ahead of us to fully understand brain folding.
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Affiliation(s)
- Lucia Del Valle Anton
- Instituto de Neurociencias, Agencia Estatal Consejo Superior de Investigaciones Científicas, San Juan de Alicante, Alicante, Spain
| | - Victor Borrell
- Instituto de Neurociencias, Agencia Estatal Consejo Superior de Investigaciones Científicas, San Juan de Alicante, Alicante, Spain
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24
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Peng SW, Peng KP, Tian GX, Cao XY, Liu MH, Dong QY. Ultrasonic Diagnosis of Lissencephaly: Literature Review and A Case Report. JOURNAL OF FETAL MEDICINE 2021. [DOI: 10.1007/s40556-021-00313-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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25
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Brémond Martin C, Simon Chane C, Clouchoux C, Histace A. Recent Trends and Perspectives in Cerebral Organoids Imaging and Analysis. Front Neurosci 2021; 15:629067. [PMID: 34276279 PMCID: PMC8283195 DOI: 10.3389/fnins.2021.629067] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 05/20/2021] [Indexed: 01/04/2023] Open
Abstract
Purpose: Since their first generation in 2013, the use of cerebral organoids has spread exponentially. Today, the amount of generated data is becoming challenging to analyze manually. This review aims to overview the current image acquisition methods and to subsequently identify the needs in image analysis tools for cerebral organoids. Methods: To address this question, we went through all recent articles published on the subject and annotated the protocols, acquisition methods, and algorithms used. Results: Over the investigated period of time, confocal microscopy and bright-field microscopy were the most used acquisition techniques. Cell counting, the most common task, is performed in 20% of the articles and area; around 12% of articles calculate morphological parameters. Image analysis on cerebral organoids is performed in majority using ImageJ software (around 52%) and Matlab language (4%). Treatments remain mostly semi-automatic. We highlight the limitations encountered in image analysis in the cerebral organoid field and suggest possible solutions and implementations to develop. Conclusions: In addition to providing an overview of cerebral organoids cultures and imaging, this work highlights the need to improve the existing image analysis methods for such images and the need for specific analysis tools. These solutions could specifically help to monitor the growth of future standardized cerebral organoids.
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Affiliation(s)
- Clara Brémond Martin
- ETIS Laboratory UMR 8051, CY Cergy Paris Université, ENSEA, CNRS, Cergy, France
- WITSEE, Paris, France
| | - Camille Simon Chane
- ETIS Laboratory UMR 8051, CY Cergy Paris Université, ENSEA, CNRS, Cergy, France
| | | | - Aymeric Histace
- ETIS Laboratory UMR 8051, CY Cergy Paris Université, ENSEA, CNRS, Cergy, France
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26
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Padmanabhan Nair V, Liu H, Ciceri G, Jungverdorben J, Frishman G, Tchieu J, Cederquist GY, Rothenaigner I, Schorpp K, Klepper L, Walsh RM, Kim TW, Cornacchia D, Ruepp A, Mayer J, Hadian K, Frishman D, Studer L, Vincendeau M. Activation of HERV-K(HML-2) disrupts cortical patterning and neuronal differentiation by increasing NTRK3. Cell Stem Cell 2021; 28:1566-1581.e8. [PMID: 33951478 DOI: 10.1016/j.stem.2021.04.009] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 03/05/2021] [Accepted: 04/12/2021] [Indexed: 12/20/2022]
Abstract
The biological function and disease association of human endogenous retroviruses (HERVs) are largely elusive. HERV-K(HML-2) has been associated with neurotoxicity, but there is no clear understanding of its role or mechanistic basis. We addressed the physiological functions of HERV-K(HML-2) in neuronal differentiation using CRISPR engineering to activate or repress its expression levels in a human-pluripotent-stem-cell-based system. We found that elevated HERV-K(HML-2) transcription is detrimental for the development and function of cortical neurons. These effects are cell-type-specific, as dopaminergic neurons are unaffected. Moreover, high HERV-K(HML-2) transcription alters cortical layer formation in forebrain organoids. HERV-K(HML-2) transcriptional activation leads to hyperactivation of NTRK3 expression and other neurodegeneration-related genes. Direct activation of NTRK3 phenotypically resembles HERV-K(HML-2) induction, and reducing NTRK3 levels in context of HERV-K(HML-2) induction restores cortical neuron differentiation. Hence, these findings unravel a cell-type-specific role for HERV-K(HML-2) in cortical neuron development.
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Affiliation(s)
| | - Hengyuan Liu
- Department of Genome-Oriented Bioinformatics, Technical University Munich, Munich, Germany
| | - Gabriele Ciceri
- Developmental Biology and Center for Stem Cell Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Johannes Jungverdorben
- Developmental Biology and Center for Stem Cell Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Goar Frishman
- Institute of Experimental Genetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Jason Tchieu
- Developmental Biology and Center for Stem Cell Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gustav Y Cederquist
- Developmental Biology and Center for Stem Cell Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ina Rothenaigner
- Assay Development and Screening Platform, Helmholtz Zentrum München, Neuherberg, Germany
| | - Kenji Schorpp
- Assay Development and Screening Platform, Helmholtz Zentrum München, Neuherberg, Germany
| | - Lena Klepper
- Institute of Virology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Ryan M Walsh
- Developmental Biology and Center for Stem Cell Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Tae Wan Kim
- Developmental Biology and Center for Stem Cell Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Daniela Cornacchia
- Developmental Biology and Center for Stem Cell Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andreas Ruepp
- Institute of Experimental Genetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Jens Mayer
- Institute of Human Genetics, University of Saarland, Homburg, Germany
| | - Kamyar Hadian
- Assay Development and Screening Platform, Helmholtz Zentrum München, Neuherberg, Germany
| | - Dmitrij Frishman
- Department of Genome-Oriented Bioinformatics, Technical University Munich, Munich, Germany
| | - Lorenz Studer
- Developmental Biology and Center for Stem Cell Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michelle Vincendeau
- Institute of Virology, Helmholtz Zentrum München, Neuherberg, Germany; Developmental Biology and Center for Stem Cell Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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27
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Abstract
The mammalian cerebral cortex is the pinnacle of brain evolution, reaching its maximum complexity in terms of neuron number, diversity and functional circuitry. The emergence of this outstanding complexity begins during embryonic development, when a limited number of neural stem and progenitor cells manage to generate myriads of neurons in the appropriate numbers, types and proportions, in a process called neurogenesis. Here we review the current knowledge on the regulation of cortical neurogenesis, beginning with a description of the types of progenitor cells and their lineage relationships. This is followed by a review of the determinants of neuron fate, the molecular and genetic regulatory mechanisms, and considerations on the evolution of cortical neurogenesis in vertebrates leading to humans. We finish with an overview on how dysregulation of neurogenesis is a leading cause of human brain malformations and functional disabilities.
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Affiliation(s)
- Ana Villalba
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas & Universidad Miguel Hernández, Sant Joan d'Alacant, Spain
| | - Magdalena Götz
- Institute for Stem Cell Research, Helmholtz Zentrum München & Biomedical Center, Ludwig-Maximilians Universitaet, Planegg-Martinsried, Germany
| | - Víctor Borrell
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas & Universidad Miguel Hernández, Sant Joan d'Alacant, Spain.
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28
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Paraíso-Luna J, Aguareles J, Martín R, Ayo-Martín AC, Simón-Sánchez S, García-Rincón D, Costas-Insua C, García-Taboada E, de Salas-Quiroga A, Díaz-Alonso J, Liste I, Sánchez-Prieto J, Cappello S, Guzmán M, Galve-Roperh I. Endocannabinoid signalling in stem cells and cerebral organoids drives differentiation to deep layer projection neurons via CB 1 receptors. Development 2020; 147:226034. [PMID: 33168583 DOI: 10.1242/dev.192161] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 11/03/2020] [Indexed: 12/19/2022]
Abstract
The endocannabinoid (eCB) system, via the cannabinoid CB1 receptor, regulates neurodevelopment by controlling neural progenitor proliferation and neurogenesis. CB1 receptor signalling in vivo drives corticofugal deep layer projection neuron development through the regulation of BCL11B and SATB2 transcription factors. Here, we investigated the role of eCB signalling in mouse pluripotent embryonic stem cell-derived neuronal differentiation. Characterization of the eCB system revealed increased expression of eCB-metabolizing enzymes, eCB ligands and CB1 receptors during neuronal differentiation. CB1 receptor knockdown inhibited neuronal differentiation of deep layer neurons and increased upper layer neuron generation, and this phenotype was rescued by CB1 re-expression. Pharmacological regulation with CB1 receptor agonists or elevation of eCB tone with a monoacylglycerol lipase inhibitor promoted neuronal differentiation of deep layer neurons at the expense of upper layer neurons. Patch-clamp analyses revealed that enhancing cannabinoid signalling facilitated neuronal differentiation and functionality. Noteworthy, incubation with CB1 receptor agonists during human iPSC-derived cerebral organoid formation also promoted the expansion of BCL11B+ neurons. These findings unveil a cell-autonomous role of eCB signalling that, via the CB1 receptor, promotes mouse and human deep layer cortical neuron development.
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Affiliation(s)
- Juan Paraíso-Luna
- Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28049 Madrid, Spain.,Department of Biochemistry and Molecular Biology, Complutense University, Instituto Universitario de Investigación en Neuroquímica (IUIN), 28040 Madrid, Spain
| | - José Aguareles
- Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28049 Madrid, Spain.,Department of Biochemistry and Molecular Biology, Complutense University, Instituto Universitario de Investigación en Neuroquímica (IUIN), 28040 Madrid, Spain
| | - Ricardo Martín
- Department of Biochemistry and Molecular Biology, Complutense University, Instituto Universitario de Investigación en Neuroquímica (IUIN), 28040 Madrid, Spain
| | - Ane C Ayo-Martín
- Max Planck Institute of Psychiatry, 80804 Munich, Germany.,International Max Planck Research School for Translational Psychiatry (IMPRS-TP), 80804 Munich, Germany
| | - Samuel Simón-Sánchez
- Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28049 Madrid, Spain.,Department of Biochemistry and Molecular Biology, Complutense University, Instituto Universitario de Investigación en Neuroquímica (IUIN), 28040 Madrid, Spain
| | - Daniel García-Rincón
- Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28049 Madrid, Spain.,Department of Biochemistry and Molecular Biology, Complutense University, Instituto Universitario de Investigación en Neuroquímica (IUIN), 28040 Madrid, Spain
| | - Carlos Costas-Insua
- Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28049 Madrid, Spain.,Department of Biochemistry and Molecular Biology, Complutense University, Instituto Universitario de Investigación en Neuroquímica (IUIN), 28040 Madrid, Spain
| | - Elena García-Taboada
- Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28049 Madrid, Spain.,Department of Biochemistry and Molecular Biology, Complutense University, Instituto Universitario de Investigación en Neuroquímica (IUIN), 28040 Madrid, Spain
| | - Adán de Salas-Quiroga
- Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28049 Madrid, Spain.,Department of Biochemistry and Molecular Biology, Complutense University, Instituto Universitario de Investigación en Neuroquímica (IUIN), 28040 Madrid, Spain
| | - Javier Díaz-Alonso
- Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28049 Madrid, Spain.,Department of Biochemistry and Molecular Biology, Complutense University, Instituto Universitario de Investigación en Neuroquímica (IUIN), 28040 Madrid, Spain
| | - Isabel Liste
- Unidad de Regeneración Neural, Unidad Funcional de Investigación de Enfermedades Crónicas (UFIEC), Instituto de Salud Carlos III (ISCIII), 28220 Madrid, Spain
| | - José Sánchez-Prieto
- Department of Biochemistry and Molecular Biology, Complutense University, Instituto Universitario de Investigación en Neuroquímica (IUIN), 28040 Madrid, Spain
| | | | - Manuel Guzmán
- Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28049 Madrid, Spain.,Department of Biochemistry and Molecular Biology, Complutense University, Instituto Universitario de Investigación en Neuroquímica (IUIN), 28040 Madrid, Spain
| | - Ismael Galve-Roperh
- Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28049 Madrid, Spain.,Department of Biochemistry and Molecular Biology, Complutense University, Instituto Universitario de Investigación en Neuroquímica (IUIN), 28040 Madrid, Spain
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29
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Amin S, Borrell V. The Extracellular Matrix in the Evolution of Cortical Development and Folding. Front Cell Dev Biol 2020; 8:604448. [PMID: 33344456 PMCID: PMC7744631 DOI: 10.3389/fcell.2020.604448] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 11/12/2020] [Indexed: 02/02/2023] Open
Abstract
The evolution of the mammalian cerebral cortex leading to humans involved a remarkable sophistication of developmental mechanisms. Specific adaptations of progenitor cell proliferation and neuronal migration mechanisms have been proposed to play major roles in this evolution of neocortical development. One of the central elements influencing neocortex development is the extracellular matrix (ECM). The ECM provides both a structural framework during tissue formation and to present signaling molecules to cells, which directly influences cell behavior and movement. Here we review recent advances in the understanding of the role of ECM molecules on progenitor cell proliferation and neuronal migration, and how these contribute to cerebral cortex expansion and folding. We discuss how transcriptomic studies in human, ferret and mouse identify components of ECM as being candidate key players in cortex expansion during development and evolution. Then we focus on recent functional studies showing that ECM components regulate cortical progenitor cell proliferation, neuron migration and the mechanical properties of the developing cortex. Finally, we discuss how these features differ between lissencephalic and gyrencephalic species, and how the molecular evolution of ECM components and their expression profiles may have been fundamental in the emergence and evolution of cortex folding across mammalian phylogeny.
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Affiliation(s)
| | - Víctor Borrell
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d’Alacant, Spain
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30
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Di Giaimo R, Penna E, Pizzella A, Cirillo R, Perrone-Capano C, Crispino M. Cross Talk at the Cytoskeleton-Plasma Membrane Interface: Impact on Neuronal Morphology and Functions. Int J Mol Sci 2020; 21:ijms21239133. [PMID: 33266269 PMCID: PMC7730950 DOI: 10.3390/ijms21239133] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 11/18/2020] [Accepted: 11/29/2020] [Indexed: 12/13/2022] Open
Abstract
The cytoskeleton and its associated proteins present at the plasma membrane not only determine the cell shape but also modulate important aspects of cell physiology such as intracellular transport including secretory and endocytic pathways. Continuous remodeling of the cell structure and intense communication with extracellular environment heavily depend on interactions between cytoskeletal elements and plasma membrane. This review focuses on the plasma membrane-cytoskeleton interface in neurons, with a special emphasis on the axon and nerve endings. We discuss the interaction between the cytoskeleton and membrane mainly in two emerging topics of neurobiology: (i) production and release of extracellular vesicles and (ii) local synthesis of new proteins at the synapses upon signaling cues. Both of these events contribute to synaptic plasticity. Our review provides new insights into the physiological and pathological significance of the cytoskeleton-membrane interface in the nervous system.
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Affiliation(s)
- Rossella Di Giaimo
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy; (E.P.); (A.P.); (R.C.)
- Correspondence: (R.D.G.); (M.C.)
| | - Eduardo Penna
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy; (E.P.); (A.P.); (R.C.)
| | - Amelia Pizzella
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy; (E.P.); (A.P.); (R.C.)
| | - Raffaella Cirillo
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy; (E.P.); (A.P.); (R.C.)
| | - Carla Perrone-Capano
- Department of Pharmacy, University of Naples Federico II, 80131 Naples, Italy;
- Institute of Genetics and Biophysics “Adriano Buzzati Traverso”, National Research Council (CNR), 80131 Naples, Italy
| | - Marianna Crispino
- Department of Biology, University of Naples Federico II, 80126 Naples, Italy; (E.P.); (A.P.); (R.C.)
- Correspondence: (R.D.G.); (M.C.)
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31
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Francis F, Cappello S. Neuronal migration and disorders - an update. Curr Opin Neurobiol 2020; 66:57-68. [PMID: 33096394 DOI: 10.1016/j.conb.2020.10.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 09/15/2020] [Accepted: 10/04/2020] [Indexed: 12/22/2022]
Abstract
This review highlights genes, proteins and subcellular mechanisms, recently shown to influence cortical neuronal migration. A current view on mechanisms which become disrupted in a diverse array of migration disorders is presented. The microtubule (MT) cytoskeleton is a major player in migrating neurons. Recently, variable impacts on MTs have been revealed in different cell compartments. Thus there are a multiplicity of effects involving centrosomal, microtubule-associated, as well as motor proteins. However, other causative factors also emerge, illuminating cortical neuronal migration research. These include disruptions of the actin cytoskeleton, the extracellular matrix, different adhesion molecules and signaling pathways, especially revealed in disorders such as periventricular heterotopia. These recent advances often involve the use of human in vitro models as well as model organisms. Focusing on cell-type specific knockouts and knockins, as well as generating omics and functional data, all seem critical for an integrated view on neuronal migration dysfunction.
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Affiliation(s)
- Fiona Francis
- INSERM U 1270, Paris, France; Sorbonne University, UMR-S 1270, F-75005 Paris, France; Institut du Fer à Moulin, Paris, France.
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32
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Ferent J, Zaidi D, Francis F. Extracellular Control of Radial Glia Proliferation and Scaffolding During Cortical Development and Pathology. Front Cell Dev Biol 2020; 8:578341. [PMID: 33178693 PMCID: PMC7596222 DOI: 10.3389/fcell.2020.578341] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 09/08/2020] [Indexed: 01/14/2023] Open
Abstract
During the development of the cortex, newly generated neurons migrate long-distances in the expanding tissue to reach their final positions. Pyramidal neurons are produced from dorsal progenitors, e.g., radial glia (RGs) in the ventricular zone, and then migrate along RG processes basally toward the cortex. These neurons are hence dependent upon RG extensions to support their migration from apical to basal regions. Several studies have investigated how intracellular determinants are required for RG polarity and subsequent formation and maintenance of their processes. Fewer studies have identified the influence of the extracellular environment on this architecture. This review will focus on extracellular factors which influence RG morphology and pyramidal neuronal migration during normal development and their perturbations in pathology. During cortical development, RGs are present in different strategic positions: apical RGs (aRGs) have their cell bodies located in the ventricular zone with an apical process contacting the ventricle, while they also have a basal process extending radially to reach the pial surface of the cortex. This particular conformation allows aRGs to be exposed to long range and short range signaling cues, whereas basal RGs (bRGs, also known as outer RGs, oRGs) have their cell bodies located throughout the cortical wall, limiting their access to ventricular factors. Long range signals impacting aRGs include secreted molecules present in the embryonic cerebrospinal fluid (e.g., Neuregulin, EGF, FGF, Wnt, BMP). Secreted molecules also contribute to the extracellular matrix (fibronectin, laminin, reelin). Classical short range factors include cell to cell signaling, adhesion molecules and mechano-transduction mechanisms (e.g., TAG1, Notch, cadherins, mechanical tension). Changes in one or several of these components influencing the RG extracellular environment can disrupt the development or maintenance of RG architecture on which neuronal migration relies, leading to a range of cortical malformations. First, we will detail the known long range signaling cues impacting RG. Then, we will review how short range cell contacts are also important to instruct the RG framework. Understanding how RG processes are structured by their environment to maintain and support radial migration is a critical part of the investigation of neurodevelopmental disorders.
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Affiliation(s)
- Julien Ferent
- Inserm, U 1270, Paris, France.,Sorbonne University, UMR-S 1270, IFM, Paris, France.,Institut du Fer á Moulin, Paris, France
| | - Donia Zaidi
- Inserm, U 1270, Paris, France.,Sorbonne University, UMR-S 1270, IFM, Paris, France.,Institut du Fer á Moulin, Paris, France
| | - Fiona Francis
- Inserm, U 1270, Paris, France.,Sorbonne University, UMR-S 1270, IFM, Paris, France.,Institut du Fer á Moulin, Paris, France
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33
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Abstract
Epilepsy is a common neurological disorder characterized by recurrent and
unprovoked seizures due to neuronal hyperactivity. A large proportion
of epilepsy cases begin during childhood. Causes of epilepsy include
stroke, infections, brain injury, genetic factors, or other factors
that alter brain structure and development, but in up to 50% of cases
the cause is unknown. Approximately 35% of patients have refractory
seizures that do not respond to medication. Animal models and in vitro
cultures have contributed to our understanding of epilepsy, but there
is a clear need for better models to explore the human brain in normal
and pathological conditions. Human pluripotent stem cell (PSC)
technologies opened the door for new models for analyzing brain
development and disease, especially conditions with a genetic
component. Initially, PSCs were differentiated into 2-dimensional
cultures of a homogenous population of neural cells, such as
glutamatergic excitatory or γ-aminobutyric acidergic inhibitory
neurons, as well as glial cells. Nevertheless, these cultures lacked
the structure and complexity of a human brain. In the last decade, PSC
technology has advanced to the next level through the development of
3-dimensional culture, called organoids. These organoids recapitulate
features of the human brain that are missing in animal models,
enabling a deeper study of the human brain. In this review, we will
summarize the current status of organoid research and its application
to epilepsy.
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Affiliation(s)
- Vanesa Nieto-Estévez
- Department of Biology and Brain Health Consortium, 414492The University of Texas at San Antonio, TX, USA
| | - Jenny Hsieh
- Department of Biology and Brain Health Consortium, 414492The University of Texas at San Antonio, TX, USA
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34
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Kalebic N, Huttner WB. Basal Progenitor Morphology and Neocortex Evolution. Trends Neurosci 2020; 43:843-853. [PMID: 32828546 DOI: 10.1016/j.tins.2020.07.009] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 07/22/2020] [Accepted: 07/29/2020] [Indexed: 11/28/2022]
Abstract
The evolutionary expansion of the mammalian neocortex is widely considered to be a basis of increased cognitive abilities. This expansion is a consequence of the enhanced production of neurons during the fetal/embryonic development of the neocortex, which in turn reflects an increased proliferative capacity of neural progenitor cells; in particular basal progenitors (BPs). The remarkable heterogeneity of BP subtypes across mammals, notably their various morphotypes and molecular fingerprints, which has recently been revealed, corroborates the importance of BPs for neocortical expansion. Here, we argue that the morphology of BPs is a key cell biological basis for maintaining their high proliferative capacity and therefore plays crucial roles in the evolutionary expansion of the neocortex.
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Affiliation(s)
- Nereo Kalebic
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany; Human Technopole, Milan, Italy.
| | - Wieland B Huttner
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
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35
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Buchsbaum IY, Kielkowski P, Giorgio G, O'Neill AC, Di Giaimo R, Kyrousi C, Khattak S, Sieber SA, Robertson SP, Cappello S. ECE2 regulates neurogenesis and neuronal migration during human cortical development. EMBO Rep 2020; 21:e48204. [PMID: 32207244 PMCID: PMC7202216 DOI: 10.15252/embr.201948204] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 02/18/2020] [Accepted: 02/21/2020] [Indexed: 11/24/2022] Open
Abstract
During embryonic development, excitatory projection neurons migrate in the cerebral cortex giving rise to organised layers. Periventricular heterotopia (PH) is a group of aetiologically heterogeneous disorders in which a subpopulation of newborn projection neurons fails to initiate their radial migration to the cortex, ultimately resulting in bands or nodules of grey matter lining the lateral ventricles. Although a number of genes have been implicated in its cause, currently they only satisfactorily explain the pathogenesis of the condition for 50% of patients. Novel gene discovery is complicated by the extreme genetic heterogeneity recently described to underlie its cause. Here, we study the neurodevelopmental role of endothelin‐converting enzyme‐2 (ECE2) for which two biallelic variants have been identified in two separate patients with PH. Our results show that manipulation of ECE2 levels in human cerebral organoids and in the developing mouse cortex leads to ectopic localisation of neural progenitors and neurons. We uncover the role of ECE2 in neurogenesis, and mechanistically, we identify its involvement in the generation and secretion of extracellular matrix proteins in addition to cytoskeleton and adhesion.
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Affiliation(s)
- Isabel Y Buchsbaum
- Max Planck Institute of Psychiatry, Munich, Germany.,Graduate School of Systemic Neurosciences, Ludwig-Maximilians-University Munich, Planegg, Germany
| | - Pavel Kielkowski
- Department of Chemistry, Chair of Organic Chemistry II, Center for Integrated Protein Science (CIPSM), Technische Universität München, Garching bei München, Germany
| | - Grazia Giorgio
- Max Planck Institute of Psychiatry, Munich, Germany.,Graduate School of Systemic Neurosciences, Ludwig-Maximilians-University Munich, Planegg, Germany
| | - Adam C O'Neill
- Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand
| | - Rossella Di Giaimo
- Max Planck Institute of Psychiatry, Munich, Germany.,Department of Biology, University of Naples Federico II, Naples, Italy
| | | | - Shahryar Khattak
- DFG Center for Regenerative Therapies, Dresden (CRTD), Technische Universität Dresden, Dresden, Germany
| | - Stephan A Sieber
- Department of Chemistry, Chair of Organic Chemistry II, Center for Integrated Protein Science (CIPSM), Technische Universität München, Garching bei München, Germany
| | - Stephen P Robertson
- Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand
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