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Mahajani S, Salahi A, Gonzalez B, Nelson C, Hsiung F. Decoding complexity: the need to enhance precision and streamline spatial understanding in neuroscience. Neural Regen Res 2025; 20:801-802. [PMID: 38886946 DOI: 10.4103/nrr.nrr-d-23-02067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/21/2024] [Indexed: 06/20/2024] Open
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2
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Li M, Yuan Y, Hou Z, Hao S, Jin L, Wang B. Human brain organoid: trends, evolution, and remaining challenges. Neural Regen Res 2024; 19:2387-2399. [PMID: 38526275 PMCID: PMC11090441 DOI: 10.4103/1673-5374.390972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 09/26/2023] [Accepted: 10/28/2023] [Indexed: 03/26/2024] Open
Abstract
Advanced brain organoids provide promising platforms for deciphering the cellular and molecular processes of human neural development and diseases. Although various studies and reviews have described developments and advancements in brain organoids, few studies have comprehensively summarized and analyzed the global trends in this area of neuroscience. To identify and further facilitate the development of cerebral organoids, we utilized bibliometrics and visualization methods to analyze the global trends and evolution of brain organoids in the last 10 years. First, annual publications, countries/regions, organizations, journals, authors, co-citations, and keywords relating to brain organoids were identified. The hotspots in this field were also systematically identified. Subsequently, current applications for brain organoids in neuroscience, including human neural development, neural disorders, infectious diseases, regenerative medicine, drug discovery, and toxicity assessment studies, are comprehensively discussed. Towards that end, several considerations regarding the current challenges in brain organoid research and future strategies to advance neuroscience will be presented to further promote their application in neurological research.
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Affiliation(s)
- Minghui Li
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
- Southwest Hospital/Southwest Eye Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yuhan Yuan
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
| | - Zongkun Hou
- School of Biology and Engineering/School of Basic Medical Sciences, Guizhou Medical University, Guiyang, Guizhou Province, China
| | - Shilei Hao
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
| | - Liang Jin
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
| | - Bochu Wang
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
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3
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Nazari H, Cho AN, Goss D, Thiery JP, Ebrahimi Warkiani M. Impact of brain organoid-derived sEVs on metastatic adaptation and invasion of breast carcinoma cells through a microphysiological system. LAB ON A CHIP 2024; 24:3434-3455. [PMID: 38888211 DOI: 10.1039/d4lc00296b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
Brain metastases are common in triple-negative breast cancer (TNBC), suggesting a complex process of cancer spread. The mechanisms enabling TNBC cell adaptation and proliferation in the brain remain unclear. Small extracellular vesicles (sEVs) play a crucial role in communication between breast carcinoma cells and the brain. However, the lack of relevant models hinders understanding of sEV-mediated communication. The present study assesses the impact of brain organoid-derived sEVs (BO-sEVs) on various behaviours of the MDA-MB-231 cell line, chosen as a representative of TNBC in a 3D microfluidic model. Our results demonstrate that 150-200 nm sEVs expressing CD63, CD9, and CD81 from brain organoid media decrease MDA-MB-231 cell proliferation, enhance their wound-healing capacity, alter their morphology into more mesenchymal mode, and increase their stemness. BO-sEVs led to heightened PD-L1, CD49f, and vimentin levels of expression in MDA-MB-231 cells, suggesting an amplified immunosuppressive, stem-like, and mesenchymal phenotype. Furthermore, these sEVs also induced the expression of neural markers such as GFAP in carcinoma cells. The cytokine antibody profiling array also showed that BO-sEVs enhanced the secretion of MCP-1, IL-6, and IL-8 by MDA-MB-231 cells. Moreover, sEVs significantly enhance the migration and invasion of carcinoma cells toward brain organoids in a 3D organoid-on-a-chip system. Our findings emphasize the potential significance of metastatic site-derived sEVs as pivotal mediators in carcinoma progression and adaptation to the brain microenvironment, thereby unveiling novel therapeutic avenues.
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Affiliation(s)
- Hojjatollah Nazari
- School of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW, Australia.
| | - Ann-Na Cho
- School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia
| | - Dale Goss
- School of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW, Australia.
| | - Jean Paul Thiery
- UMR 7057 CNRS Matter and Complex Systems, Université Paris Cité, Paris, France
| | - Majid Ebrahimi Warkiani
- School of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW, Australia.
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4
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Herrera ML, Paraíso-Luna J, Bustos-Martínez I, Barco Á. Targeting epigenetic dysregulation in autism spectrum disorders. Trends Mol Med 2024:S1471-4914(24)00162-X. [PMID: 38971705 DOI: 10.1016/j.molmed.2024.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 06/08/2024] [Accepted: 06/10/2024] [Indexed: 07/08/2024]
Abstract
Autism spectrum disorders (ASD) comprise a range of neurodevelopmental pathologies characterized by deficits in social interaction and repetitive behaviors, collectively affecting almost 1% of the worldwide population. Deciphering the etiology of ASD has proven challenging due to the intricate interplay of genetic and environmental factors and the variety of molecular pathways affected. Epigenomic alterations have emerged as key players in ASD etiology. Their research has led to the identification of biomarkers for diagnosis and pinpointed specific gene targets for therapeutic interventions. This review examines the role of epigenetic alterations, resulting from both genetic and environmental influences, as a central causative factor in ASD, delving into its contribution to pathogenesis and treatment strategies.
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Affiliation(s)
- Macarena L Herrera
- Instituto de Neurociencias (Universidad Miguel Hernández - Consejo Superior de Investigaciones Científicas), Av. Santiago Ramón y Cajal s/n, Sant Joan d'Alacant, 03550 Alicante, Spain
| | - Juan Paraíso-Luna
- Instituto de Neurociencias (Universidad Miguel Hernández - Consejo Superior de Investigaciones Científicas), Av. Santiago Ramón y Cajal s/n, Sant Joan d'Alacant, 03550 Alicante, Spain
| | - Isabel Bustos-Martínez
- Instituto de Neurociencias (Universidad Miguel Hernández - Consejo Superior de Investigaciones Científicas), Av. Santiago Ramón y Cajal s/n, Sant Joan d'Alacant, 03550 Alicante, Spain
| | - Ángel Barco
- Instituto de Neurociencias (Universidad Miguel Hernández - Consejo Superior de Investigaciones Científicas), Av. Santiago Ramón y Cajal s/n, Sant Joan d'Alacant, 03550 Alicante, Spain.
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5
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Xu C, Alameri A, Leong W, Johnson E, Chen Z, Xu B, Leong KW. Multiscale engineering of brain organoids for disease modeling. Adv Drug Deliv Rev 2024; 210:115344. [PMID: 38810702 DOI: 10.1016/j.addr.2024.115344] [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: 02/13/2024] [Revised: 04/23/2024] [Accepted: 05/25/2024] [Indexed: 05/31/2024]
Abstract
Brain organoids hold great potential for modeling human brain development and pathogenesis. They recapitulate certain aspects of the transcriptional trajectory, cellular diversity, tissue architecture and functions of the developing brain. In this review, we explore the engineering strategies to control the molecular-, cellular- and tissue-level inputs to achieve high-fidelity brain organoids. We review the application of brain organoids in neural disorder modeling and emerging bioengineering methods to improve data collection and feature extraction at multiscale. The integration of multiscale engineering strategies and analytical methods has significant potential to advance insight into neurological disorders and accelerate drug development.
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Affiliation(s)
- Cong Xu
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Alia Alameri
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Wei Leong
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Emily Johnson
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Zaozao Chen
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Bin Xu
- Department of Psychiatry, Columbia University, New York, NY 10032, USA.
| | - Kam W Leong
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA.
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6
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Coronel R, García-Moreno E, Siendones E, Barrero MJ, Martínez-Delgado B, Santos-Ocaña C, Liste I, Cascajo-Almenara MV. Brain organoid as a model to study the role of mitochondria in neurodevelopmental disorders: achievements and weaknesses. Front Cell Neurosci 2024; 18:1403734. [PMID: 38978706 PMCID: PMC11228165 DOI: 10.3389/fncel.2024.1403734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 05/13/2024] [Indexed: 07/10/2024] Open
Abstract
Mitochondrial diseases are a group of severe pathologies that cause complex neurodegenerative disorders for which, in most cases, no therapy or treatment is available. These organelles are critical regulators of both neurogenesis and homeostasis of the neurological system. Consequently, mitochondrial damage or dysfunction can occur as a cause or consequence of neurodevelopmental or neurodegenerative diseases. As genetic knowledge of neurodevelopmental disorders advances, associations have been identified between genes that encode mitochondrial proteins and neurological symptoms, such as neuropathy, encephalomyopathy, ataxia, seizures, and developmental delays, among others. Understanding how mitochondrial dysfunction can alter these processes is essential in researching rare diseases. Three-dimensional (3D) cell cultures, which self-assemble to form specialized structures composed of different cell types, represent an accessible manner to model organogenesis and neurodevelopmental disorders. In particular, brain organoids are revolutionizing the study of mitochondrial-based neurological diseases since they are organ-specific and model-generated from a patient's cell, thereby overcoming some of the limitations of traditional animal and cell models. In this review, we have collected which neurological structures and functions recapitulate in the different types of reported brain organoids, focusing on those generated as models of mitochondrial diseases. In addition to advancements in the generation of brain organoids, techniques, and approaches for studying neuronal structures and physiology, drug screening and drug repositioning studies performed in brain organoids with mitochondrial damage and neurodevelopmental disorders have also been reviewed. This scope review will summarize the evidence on limitations in studying the function and dynamics of mitochondria in brain organoids.
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Affiliation(s)
- Raquel Coronel
- Neural Regeneration Unit, Functional Unit for Research on Chronic Diseases (UFIEC), National Institute of Health Carlos III (ISCIII), Madrid, Spain
- Department of Systems Biology, Faculty of Medicine and Health Sciences, University of Alcalá (UAH), Alcalá de Henares, Spain
| | - Enrique García-Moreno
- Andalusian Centre for Developmental Biology, CIBERER, National Institute of Health Carlos III (ISCIII), Pablo de Olavide University-CSIC-JA, Seville, Spain
| | - Emilio Siendones
- Andalusian Centre for Developmental Biology, CIBERER, National Institute of Health Carlos III (ISCIII), Pablo de Olavide University-CSIC-JA, Seville, Spain
| | - Maria J. Barrero
- Models and Mechanisms Unit, Institute of Rare Diseases Research (IIER), Spanish National Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - Beatriz Martínez-Delgado
- Molecular Genetics Unit, Institute of Rare Diseases Research (IIER), CIBER of Rare Diseases (CIBERER), Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - Carlos Santos-Ocaña
- Andalusian Centre for Developmental Biology, CIBERER, National Institute of Health Carlos III (ISCIII), Pablo de Olavide University-CSIC-JA, Seville, Spain
| | - Isabel Liste
- Neural Regeneration Unit, Functional Unit for Research on Chronic Diseases (UFIEC), National Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - M. V. Cascajo-Almenara
- Andalusian Centre for Developmental Biology, CIBERER, National Institute of Health Carlos III (ISCIII), Pablo de Olavide University-CSIC-JA, Seville, Spain
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7
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Kim JT, Song K, Han SW, Youn DH, Jung H, Kim KS, Lee HJ, Hong JY, Cho YJ, Kang SM, Jeon JP. Modeling of the brain-lung axis using organoids in traumatic brain injury: an updated review. Cell Biosci 2024; 14:83. [PMID: 38909262 PMCID: PMC11193205 DOI: 10.1186/s13578-024-01252-2] [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: 03/04/2024] [Accepted: 05/24/2024] [Indexed: 06/24/2024] Open
Abstract
Clinical outcome after traumatic brain injury (TBI) is closely associated conditions of other organs, especially lungs as well as degree of brain injury. Even if there is no direct lung damage, severe brain injury can enhance sympathetic tones on blood vessels and vascular resistance, resulting in neurogenic pulmonary edema. Conversely, lung damage can worsen brain damage by dysregulating immunity. These findings suggest the importance of brain-lung axis interactions in TBI. However, little research has been conducted on the topic. An advanced disease model using stem cell technology may be an alternative for investigating the brain and lungs simultaneously but separately, as they can be potential candidates for improving the clinical outcomes of TBI.In this review, we describe the importance of brain-lung axis interactions in TBI by focusing on the concepts and reproducibility of brain and lung organoids in vitro. We also summarize recent research using pluripotent stem cell-derived brain organoids and their preclinical applications in various brain disease conditions and explore how they mimic the brain-lung axis. Reviewing the current status and discussing the limitations and potential perspectives in organoid research may offer a better understanding of pathophysiological interactions between the brain and lung after TBI.
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Affiliation(s)
- Jong-Tae Kim
- Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon, 24252, Republic of Korea
| | - Kang Song
- Department of Green Chemical Engineering, Sangmyung University, Cheonan, 31066, Republic of Korea
| | - Sung Woo Han
- Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon, 24252, Republic of Korea
| | - Dong Hyuk Youn
- Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon, 24252, Republic of Korea
| | - Harry Jung
- Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon, 24252, Republic of Korea
| | - Keun-Suh Kim
- Department of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, 13620, Republic of Korea
| | - Hyo-Jung Lee
- Department of Periodontology, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, 13620, Republic of Korea
| | - Ji Young Hong
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Hallym University College of Medicine, Chuncheon, 24252, Republic of Korea
| | - Yong-Jun Cho
- Department of Neurosurgery, Hallym University College of Medicine, Chuncheon, 24252, Republic of Korea
| | - Sung-Min Kang
- Department of Green Chemical Engineering, Sangmyung University, Cheonan, 31066, Republic of Korea.
| | - Jin Pyeong Jeon
- Department of Neurosurgery, Hallym University College of Medicine, Chuncheon, 24252, Republic of Korea.
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8
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Carraro C, Montgomery JV, Klimmt J, Paquet D, Schultze JL, Beyer MD. Tackling neurodegeneration in vitro with omics: a path towards new targets and drugs. Front Mol Neurosci 2024; 17:1414886. [PMID: 38952421 PMCID: PMC11215216 DOI: 10.3389/fnmol.2024.1414886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 06/04/2024] [Indexed: 07/03/2024] Open
Abstract
Drug discovery is a generally inefficient and capital-intensive process. For neurodegenerative diseases (NDDs), the development of novel therapeutics is particularly urgent considering the long list of late-stage drug candidate failures. Although our knowledge on the pathogenic mechanisms driving neurodegeneration is growing, additional efforts are required to achieve a better and ultimately complete understanding of the pathophysiological underpinnings of NDDs. Beyond the etiology of NDDs being heterogeneous and multifactorial, this process is further complicated by the fact that current experimental models only partially recapitulate the major phenotypes observed in humans. In such a scenario, multi-omic approaches have the potential to accelerate the identification of new or repurposed drugs against a multitude of the underlying mechanisms driving NDDs. One major advantage for the implementation of multi-omic approaches in the drug discovery process is that these overarching tools are able to disentangle disease states and model perturbations through the comprehensive characterization of distinct molecular layers (i.e., genome, transcriptome, proteome) up to a single-cell resolution. Because of recent advances increasing their affordability and scalability, the use of omics technologies to drive drug discovery is nascent, but rapidly expanding in the neuroscience field. Combined with increasingly advanced in vitro models, which particularly benefited from the introduction of human iPSCs, multi-omics are shaping a new paradigm in drug discovery for NDDs, from disease characterization to therapeutics prediction and experimental screening. In this review, we discuss examples, main advantages and open challenges in the use of multi-omic approaches for the in vitro discovery of targets and therapies against NDDs.
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Affiliation(s)
- Caterina Carraro
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Bonn, Germany
- Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany
| | - Jessica V. Montgomery
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Bonn, Germany
| | - Julien Klimmt
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Dominik Paquet
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Joachim L. Schultze
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Bonn, Germany
- Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany
- PRECISE, Platform for Single Cell Genomics and Epigenomics at the German Center for Neurodegenerative Diseases and the University of Bonn and West German Genome Center, Bonn, Germany
| | - Marc D. Beyer
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Bonn, Germany
- PRECISE, Platform for Single Cell Genomics and Epigenomics at the German Center for Neurodegenerative Diseases and the University of Bonn and West German Genome Center, Bonn, Germany
- Immunogenomics & Neurodegeneration, Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Bonn, Germany
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9
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Qian X, Coleman K, Jiang S, Kriz AJ, Marciano JH, Luo C, Cai C, Manam MD, Caglayan E, Otani A, Ghosh U, Shao DD, Andersen RE, Neil JE, Johnson R, LeFevre A, Hecht JL, Miller MB, Sun L, Stringer C, Li M, Walsh CA. Spatial Single-cell Analysis Decodes Cortical Layer and Area Specification. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.05.597673. [PMID: 38915567 PMCID: PMC11195106 DOI: 10.1101/2024.06.05.597673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
The human cerebral cortex, pivotal for advanced cognitive functions, is composed of six distinct layers and dozens of functionally specialized areas1,2. The layers and areas are distinguished both molecularly, by diverse neuronal and glial cell subtypes, and structurally, through intricate spatial organization3,4. While single-cell transcriptomics studies have advanced molecular characterization of human cortical development, a critical gap exists due to the loss of spatial context during cell dissociation5,6,7,8. Here, we utilized multiplexed error-robust fluorescence in situ hybridization (MERFISH)9, augmented with deep-learning-based cell segmentation, to examine the molecular, cellular, and cytoarchitectural development of human fetal cortex with spatially resolved single-cell resolution. Our extensive spatial atlas, encompassing 16 million single cells, spans eight cortical areas across four time points in the second and third trimesters. We uncovered an early establishment of the six-layer structure, identifiable in the laminar distribution of excitatory neuronal subtypes by mid-gestation, long before the emergence of cytoarchitectural layers. Notably, while anterior-posterior gradients of neuronal subtypes were generally observed in most cortical areas, a striking exception was the sharp molecular border between primary (V1) and secondary visual cortices (V2) at gestational week 20. Here we discovered an abrupt binary shift in neuronal subtype specification at the earliest stages, challenging the notion that continuous morphogen gradients dictate mid-gestation cortical arealization6,10. Moreover, integrating single-nuclei RNA-sequencing and in situ whole transcriptomics revealed an early upregulation of synaptogenesis in V1-specific Layer 4 neurons, suggesting a role of synaptogenesis in this discrete border formation. Collectively, our findings underscore the crucial role of spatial relationships in determining the molecular specification of cortical layers and areas. This work not only provides a valuable resource for the field, but also establishes a spatially resolved single-cell analysis paradigm that paves the way for a comprehensive developmental atlas of the human brain.
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Affiliation(s)
- Xuyu Qian
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- These authors contributed equally: Xuyu Qian, Kyle Coleman, Shunzhou Jiang
| | - Kyle Coleman
- Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- These authors contributed equally: Xuyu Qian, Kyle Coleman, Shunzhou Jiang
| | - Shunzhou Jiang
- Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- These authors contributed equally: Xuyu Qian, Kyle Coleman, Shunzhou Jiang
| | - Andrea J. Kriz
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jack H. Marciano
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Chunyu Luo
- Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Chunhui Cai
- Research Computing, Department of Information Technology, Boston Children’s Hospital, Boston, Massachusetts, USA
| | - Monica Devi Manam
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Emre Caglayan
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Aoi Otani
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Urmi Ghosh
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Diane D. Shao
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Rebecca E. Andersen
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Jennifer E. Neil
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Robert Johnson
- University of Maryland Brain and Tissue Bank, Department of Pediatrics, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Alexandra LeFevre
- University of Maryland Brain and Tissue Bank, Department of Pediatrics, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jonathan L. Hecht
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Michael B. Miller
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Division of Neuropathology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Liang Sun
- Research Computing, Department of Information Technology, Boston Children’s Hospital, Boston, Massachusetts, USA
| | - Carsen Stringer
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA
| | - Mingyao Li
- Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Christopher A. Walsh
- Division of Genetics and Genomics, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Departments of Pediatrics and Neurology, Harvard Medical School, Boston, Massachusetts, USA
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10
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Lindhout FW, Krienen FM, Pollard KS, Lancaster MA. A molecular and cellular perspective on human brain evolution and tempo. Nature 2024; 630:596-608. [PMID: 38898293 DOI: 10.1038/s41586-024-07521-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 04/29/2024] [Indexed: 06/21/2024]
Abstract
The evolution of the modern human brain was accompanied by distinct molecular and cellular specializations, which underpin our diverse cognitive abilities but also increase our susceptibility to neurological diseases. These features, some specific to humans and others shared with related species, manifest during different stages of brain development. In this multi-stage process, neural stem cells proliferate to produce a large and diverse progenitor pool, giving rise to excitatory or inhibitory neurons that integrate into circuits during further maturation. This process unfolds over varying time scales across species and has progressively become slower in the human lineage, with differences in tempo correlating with differences in brain size, cell number and diversity, and connectivity. Here we introduce the terms 'bradychrony' and 'tachycrony' to describe slowed and accelerated developmental tempos, respectively. We review how recent technical advances across disciplines, including advanced engineering of in vitro models, functional comparative genetics and high-throughput single-cell profiling, are leading to a deeper understanding of how specializations of the human brain arise during bradychronic neurodevelopment. Emerging insights point to a central role for genetics, gene-regulatory networks, cellular innovations and developmental tempo, which together contribute to the establishment of human specializations during various stages of neurodevelopment and at different points in evolution.
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Affiliation(s)
- Feline W Lindhout
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK.
| | - Fenna M Krienen
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Katherine S Pollard
- Gladstone Institutes, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, Institute for Computational Health Sciences, and Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Madeline A Lancaster
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK.
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11
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Hu H, Wang C, Tao R, Liu B, Peng D, Chen Y, Zhang W. Evidences of neurological injury caused by COVID-19 from glioma tissues and glioma organoids. CNS Neurosci Ther 2024; 30:e14822. [PMID: 38923860 PMCID: PMC11199819 DOI: 10.1111/cns.14822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 06/06/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024] Open
Abstract
INTRODUCTION Despite the extensive neurological symptoms induced by COVID-19 and the identification of SARS-CoV-2 in post-mortem brain samples from COVID-19 patients months after death, the precise mechanisms of SARS-CoV-2 invasion into the central nervous system remain unclear due to the lack of research models. METHODS We collected glioma tissue samples from glioma patients who had a recent history of COVID-19 and examined the presence of the SARS-CoV-2 spike protein. Subsequently, spatial transcriptomic analyses were conducted on normal brain tissues, glioma tissues, and glioma tissues from glioma patients with recent COVID-19 history. Additionally, single-cell sequencing data from both glioma tissues and glioma organoids were collected and analyzed. Glioma organoids were utilized to evaluate the efficacy of potential COVID-19 blocking agents. RESULTS Glioma tissues from glioma patients with recent COVID-19 history exhibited the presence of the SARS-CoV-2 spike protein. Differences between glioma tissues from glioma patients who had a recent history of COVID-19 and healthy brain tissues primarily manifested in neuronal cells. Notably, neuronal cells within glioma tissues of COVID-19 history demonstrated heightened susceptibility to Alzheimer's disease, depression, and synaptic dysfunction, indicative of neuronal aberrations. Expressions of SARS-CoV-2 entry factors were confirmed in both glioma tissues and glioma organoids. Moreover, glioma organoids were susceptible to pseudo-SARS-CoV-2 infection and the infections could be partly blocked by the potential COVID-19 drugs. CONCLUSIONS Gliomas had inherent traits that render them susceptible to SARS-CoV-2 infection, leading to their representability of COVID-19 neurological symptoms. This established a biological foundation for the rationality and feasibility of utilization of glioma organoids as research and blocking drug testing model in SARS-CoV-2 infection within the central nervous system.
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Affiliation(s)
- Huimin Hu
- Department of Molecular Neuropathology, Beijing Neurosurgical InstituteCapital Medical UniversityBeijingChina
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- Center of Brain Tumor, Beijing Institute for Brain DisordersBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Chinese Glioma Genome Atlas Network (CGGA)BeijingChina
| | - Chen Wang
- Department of Molecular Neuropathology, Beijing Neurosurgical InstituteCapital Medical UniversityBeijingChina
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- Center of Brain Tumor, Beijing Institute for Brain DisordersBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Chinese Glioma Genome Atlas Network (CGGA)BeijingChina
| | - Rui Tao
- Department of Molecular Neuropathology, Beijing Neurosurgical InstituteCapital Medical UniversityBeijingChina
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- Center of Brain Tumor, Beijing Institute for Brain DisordersBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Chinese Glioma Genome Atlas Network (CGGA)BeijingChina
| | - Bohan Liu
- Department of Molecular Neuropathology, Beijing Neurosurgical InstituteCapital Medical UniversityBeijingChina
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- Center of Brain Tumor, Beijing Institute for Brain DisordersBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Chinese Glioma Genome Atlas Network (CGGA)BeijingChina
| | - Dazhao Peng
- Department of Molecular Neuropathology, Beijing Neurosurgical InstituteCapital Medical UniversityBeijingChina
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- Center of Brain Tumor, Beijing Institute for Brain DisordersBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Chinese Glioma Genome Atlas Network (CGGA)BeijingChina
| | - Yankun Chen
- Department of Molecular Neuropathology, Beijing Neurosurgical InstituteCapital Medical UniversityBeijingChina
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- Center of Brain Tumor, Beijing Institute for Brain DisordersBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Chinese Glioma Genome Atlas Network (CGGA)BeijingChina
| | - Wei Zhang
- Department of Molecular Neuropathology, Beijing Neurosurgical InstituteCapital Medical UniversityBeijingChina
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- Center of Brain Tumor, Beijing Institute for Brain DisordersBeijingChina
- China National Clinical Research Center for Neurological DiseasesBeijingChina
- Chinese Glioma Genome Atlas Network (CGGA)BeijingChina
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12
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Tung YT, Chen YC, Derr K, Wilson K, Song MJ, Ferrer M. A 3D Bioprinted Human Neurovascular Unit Model of Glioblastoma Tumor Growth. Adv Healthc Mater 2024; 13:e2302831. [PMID: 38394389 PMCID: PMC11176035 DOI: 10.1002/adhm.202302831] [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: 10/01/2023] [Revised: 01/29/2024] [Indexed: 02/25/2024]
Abstract
A 3D bioprinted neurovascular unit (NVU) model is developed to study glioblastoma (GBM) tumor growth in a brain-like microenvironment. The NVU model includes human primary astrocytes, pericytes and brain microvascular endothelial cells, and patient-derived glioblastoma cells (JHH-520) are used for this study. Fluorescence reporters are used with confocal high content imaging to quantitate real-time microvascular network formation and tumor growth. Extensive validation of the NVU-GBM model includes immunostaining for brain relevant cellular markers and extracellular matrix components; single cell RNA sequencing (scRNAseq) to establish physiologically relevant transcriptomics changes; and secretion of NVU and GBM-relevant cytokines. The scRNAseq reveals changes in gene expression and cytokines secretion associated with wound healing/angiogenesis, including the appearance of an endothelial mesenchymal transition cell population. The NVU-GBM model is used to test 18 chemotherapeutics and anti-cancer drugs to assess the pharmacological relevance of the model and robustness for high throughput screening.
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Affiliation(s)
- Yen-Ting Tung
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Yu-Chi Chen
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Kristy Derr
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Kelli Wilson
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Min Jae Song
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
| | - Marc Ferrer
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, 20850, USA
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13
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Chen C, Lee S, Zyner KG, Fernando M, Nemeruck V, Wong E, Marshall LL, Wark JR, Aryamanesh N, Tam PPL, Graham ME, Gonzalez-Cordero A, Yang P. Trans-omic profiling uncovers molecular controls of early human cerebral organoid formation. Cell Rep 2024; 43:114219. [PMID: 38748874 DOI: 10.1016/j.celrep.2024.114219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 04/01/2024] [Accepted: 04/25/2024] [Indexed: 06/01/2024] Open
Abstract
Defining the molecular networks orchestrating human brain formation is crucial for understanding neurodevelopment and neurological disorders. Challenges in acquiring early brain tissue have incentivized the use of three-dimensional human pluripotent stem cell (hPSC)-derived neural organoids to recapitulate neurodevelopment. To elucidate the molecular programs that drive this highly dynamic process, here, we generate a comprehensive trans-omic map of the phosphoproteome, proteome, and transcriptome of the exit of pluripotency and neural differentiation toward human cerebral organoids (hCOs). These data reveal key phospho-signaling events and their convergence on transcriptional factors to regulate hCO formation. Comparative analysis with developing human and mouse embryos demonstrates the fidelity of our hCOs in modeling embryonic brain development. Finally, we demonstrate that biochemical modulation of AKT signaling can control hCO differentiation. Together, our data provide a comprehensive resource to study molecular controls in human embryonic brain development and provide a guide for the future development of hCO differentiation protocols.
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Affiliation(s)
- Carissa Chen
- Computational Systems Biology Unit, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia; Embryology Unit, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia; School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Scott Lee
- Stem Cell and Organoid Facility, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia
| | - Katherine G Zyner
- Computational Systems Biology Unit, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia; School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Milan Fernando
- Stem Cell and Organoid Facility, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia
| | - Victoria Nemeruck
- Stem Cell Medicine Group, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia
| | - Emilie Wong
- Stem Cell Medicine Group, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia; School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Lee L Marshall
- Bioinformatics Group, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia
| | - Jesse R Wark
- Synapse Proteomics, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia
| | - Nader Aryamanesh
- Bioinformatics Group, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia; School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Patrick P L Tam
- Embryology Unit, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia; School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Mark E Graham
- Synapse Proteomics, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia; School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.
| | - Anai Gonzalez-Cordero
- Stem Cell and Organoid Facility, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia; Stem Cell Medicine Group, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia; School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.
| | - Pengyi Yang
- Computational Systems Biology Unit, Children's Medical Research Institute, University of Sydney, Westmead, NSW 2145, Australia; School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia; Charles Perkins Centre, School of Mathematics and Statistics, University of Sydney, Sydney, NSW 2006, Australia.
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14
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Xue W, Li H, Xu J, Yu X, Liu L, Liu H, Zhao R, Shao Z. Effective cryopreservation of human brain tissue and neural organoids. CELL REPORTS METHODS 2024; 4:100777. [PMID: 38744289 PMCID: PMC11133841 DOI: 10.1016/j.crmeth.2024.100777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 11/27/2023] [Accepted: 04/22/2024] [Indexed: 05/16/2024]
Abstract
Human brain tissue models and organoids are vital for studying and modeling human neurological disease. However, the high cost of long-term cultured organoids inhibits their wide-ranging application. It is therefore urgent to develop methods for the cryopreservation of brain tissue and organoids. Here, we establish a method using methylcellulose, ethylene glycol, DMSO, and Y27632 (termed MEDY) for the cryopreservation of cortical organoids without disrupting the neural cytoarchitecture or functional activity. MEDY can be applied to multiple brain-region-specific organoids, including the dorsal/ventral forebrain, spinal cord, optic vesicle brain, and epilepsy patient-derived brain organoids. Additionally, MEDY enables the cryopreservation of human brain tissue samples, and pathological features are retained after thawing. Transcriptomic analysis shows that MEDY can protect synaptic function and inhibit the endoplasmic reticulum-mediated apoptosis pathway. MEDY will enable the large-scale and reliable storage of diverse neural organoids and living brain tissue and will facilitate wide-ranging research, medical applications, and drug screening.
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Affiliation(s)
- Weiwei Xue
- Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Institute of Pediatrics, National Children's Medical Center, Children's Hospital, Fudan University, Shanghai, China.
| | - Huijuan Li
- Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Institute of Pediatrics, National Children's Medical Center, Children's Hospital, Fudan University, Shanghai, China
| | - Jinhong Xu
- Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Institute of Pediatrics, National Children's Medical Center, Children's Hospital, Fudan University, Shanghai, China
| | - Xiao Yu
- Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Institute of Pediatrics, National Children's Medical Center, Children's Hospital, Fudan University, Shanghai, China
| | - Linlin Liu
- Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Institute of Pediatrics, National Children's Medical Center, Children's Hospital, Fudan University, Shanghai, China
| | - Huihui Liu
- Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Institute of Pediatrics, National Children's Medical Center, Children's Hospital, Fudan University, Shanghai, China
| | - Rui Zhao
- Department of Neurosurgery, Children's Hospital of Fudan University, Shanghai, China
| | - Zhicheng Shao
- Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Institute of Pediatrics, National Children's Medical Center, Children's Hospital, Fudan University, Shanghai, China.
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15
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Stoppini L, Heuschkel MO, Loussert-Fonta C, Gomez Baisac L, Roux A. Versatile micro-electrode array to monitor human iPSC derived 3D neural tissues at air-liquid interface. Front Cell Neurosci 2024; 18:1389580. [PMID: 38784710 PMCID: PMC11112036 DOI: 10.3389/fncel.2024.1389580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 04/02/2024] [Indexed: 05/25/2024] Open
Abstract
Engineered 3D neural tissues made of neurons and glial cells derived from human induced pluripotent stem cells (hiPSC) are among the most promising tools in drug discovery and neurotoxicology. They represent a cheaper, faster, and more ethical alternative to in vivo animal testing that will likely close the gap between in vitro animal models and human clinical trials. Micro-Electrode Array (MEA) technology is known to provide an assessment of compound effects on neural 2D cell cultures and acute tissue preparations by real-time, non-invasive, and long-lasting electrophysiological monitoring of spontaneous and evoked neuronal activity. Nevertheless, the use of engineered 3D neural tissues in combination with MEA biochips still involves series of constraints, such as drastically limited diffusion of oxygen and nutrients within tissues mainly due to the lack of vascularization. Therefore, 3D neural tissues are extremely sensitive to experimental conditions and require an adequately designed interface that provides optimal tissue survival conditions. A well-suited technique to overcome this issue is the combination of the Air-Liquid Interface (ALI) tissue culture method with the MEA technology. We have developed a full 3D neural tissue culture process and a data acquisition system composed of high-end electronics and novel MEA biochips based on porous, flexible, thin-film membranes integrating recording electrodes, named as "Strip-MEA," to allow the maintenance of an ALI around the 3D neural tissues. The main motivation of the porous MEA biochips development was the possibility to monitor and to study the electrical activity of 3D neural tissues under different recording configurations, (i) the Strip-MEA can be placed below a tissue, (ii) or by taking advantage of the ALI, be directly placed on top of the tissue, or finally, (iii) it can be embedded into a larger neural tissue generated by the fusion of two (or more) tissues placed on both sides of the Strip-MEA allowing the recording from its inner part. This paper presents the recording and analyses of spontaneous activity from the three positioning configurations of the Strip-MEAs. Obtained results are discussed with the perspective of developing in vitro models of brain diseases and/or impairment of neural network functioning.
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Affiliation(s)
| | | | | | | | - Adrien Roux
- Tissue Engineering Laboratory, HEPIA HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland
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16
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Cerneckis J, Cai H, Shi Y. Induced pluripotent stem cells (iPSCs): molecular mechanisms of induction and applications. Signal Transduct Target Ther 2024; 9:112. [PMID: 38670977 PMCID: PMC11053163 DOI: 10.1038/s41392-024-01809-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 03/09/2024] [Accepted: 03/17/2024] [Indexed: 04/28/2024] Open
Abstract
The induced pluripotent stem cell (iPSC) technology has transformed in vitro research and holds great promise to advance regenerative medicine. iPSCs have the capacity for an almost unlimited expansion, are amenable to genetic engineering, and can be differentiated into most somatic cell types. iPSCs have been widely applied to model human development and diseases, perform drug screening, and develop cell therapies. In this review, we outline key developments in the iPSC field and highlight the immense versatility of the iPSC technology for in vitro modeling and therapeutic applications. We begin by discussing the pivotal discoveries that revealed the potential of a somatic cell nucleus for reprogramming and led to successful generation of iPSCs. We consider the molecular mechanisms and dynamics of somatic cell reprogramming as well as the numerous methods available to induce pluripotency. Subsequently, we discuss various iPSC-based cellular models, from mono-cultures of a single cell type to complex three-dimensional organoids, and how these models can be applied to elucidate the mechanisms of human development and diseases. We use examples of neurological disorders, coronavirus disease 2019 (COVID-19), and cancer to highlight the diversity of disease-specific phenotypes that can be modeled using iPSC-derived cells. We also consider how iPSC-derived cellular models can be used in high-throughput drug screening and drug toxicity studies. Finally, we discuss the process of developing autologous and allogeneic iPSC-based cell therapies and their potential to alleviate human diseases.
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Affiliation(s)
- Jonas Cerneckis
- Department of Neurodegenerative Diseases, Beckman Research Institute of City of Hope, Duarte, CA, 91010, USA
- Irell & Manella Graduate School of Biological Sciences, Beckman Research Institute of City of Hope, Duarte, CA, 91010, USA
| | - Hongxia Cai
- Department of Neurodegenerative Diseases, Beckman Research Institute of City of Hope, Duarte, CA, 91010, USA
| | - Yanhong Shi
- Department of Neurodegenerative Diseases, Beckman Research Institute of City of Hope, Duarte, CA, 91010, USA.
- Irell & Manella Graduate School of Biological Sciences, Beckman Research Institute of City of Hope, Duarte, CA, 91010, USA.
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17
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Petersilie L, Heiduschka S, Nelson JS, Neu LA, Le S, Anand R, Kafitz KW, Prigione A, Rose CR. Cortical brain organoid slices (cBOS) for the study of human neural cells in minimal networks. iScience 2024; 27:109415. [PMID: 38523789 PMCID: PMC10957451 DOI: 10.1016/j.isci.2024.109415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 01/29/2024] [Accepted: 02/29/2024] [Indexed: 03/26/2024] Open
Abstract
Brain organoids derived from human pluripotent stem cells are a promising tool for studying human neurodevelopment and related disorders. Here, we generated long-term cultures of cortical brain organoid slices (cBOS) grown at the air-liquid interphase from regionalized cortical organoids. We show that cBOS host mature neurons and astrocytes organized in complex architecture. Whole-cell patch-clamp demonstrated subthreshold synaptic inputs and action potential firing of neurons. Spontaneous intracellular calcium signals turned into synchronous large-scale oscillations upon combined disinhibition of NMDA receptors and blocking of GABAA receptors. Brief metabolic inhibition to mimic transient energy restriction in the ischemic brain induced reversible intracellular calcium loading of cBOS. Moreover, metabolic inhibition induced a reversible decline in neuronal ATP as revealed by ATeam1.03YEMK. Overall, cBOS provide a powerful platform to assess morphological and functional aspects of human neural cells in intact minimal networks and to address the pathways that drive cellular damage during brain ischemia.
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Affiliation(s)
- Laura Petersilie
- Institute of Neurobiology, Faculty of Mathematics and Natural Sciences, Heinrich Heine University Duesseldorf, 40225 Duesseldorf, Germany
| | - Sonja Heiduschka
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children’s Hospital and Heinrich Heine University Duesseldorf, 40225 Duesseldorf, Germany
| | - Joel S.E. Nelson
- Institute of Neurobiology, Faculty of Mathematics and Natural Sciences, Heinrich Heine University Duesseldorf, 40225 Duesseldorf, Germany
| | - Louis A. Neu
- Institute of Neurobiology, Faculty of Mathematics and Natural Sciences, Heinrich Heine University Duesseldorf, 40225 Duesseldorf, Germany
| | - Stephanie Le
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children’s Hospital and Heinrich Heine University Duesseldorf, 40225 Duesseldorf, Germany
| | - Ruchika Anand
- Institute of Biochemistry and Molecular Biology I, Medical Faculty and University Hospital Duesseldorf, Heinrich Heine University Duesseldorf, 40225 Duesseldorf, Germany
| | - Karl W. Kafitz
- Institute of Neurobiology, Faculty of Mathematics and Natural Sciences, Heinrich Heine University Duesseldorf, 40225 Duesseldorf, Germany
| | - Alessandro Prigione
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children’s Hospital and Heinrich Heine University Duesseldorf, 40225 Duesseldorf, Germany
| | - Christine R. Rose
- Institute of Neurobiology, Faculty of Mathematics and Natural Sciences, Heinrich Heine University Duesseldorf, 40225 Duesseldorf, Germany
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18
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Giorgi C, Castelli V, d’Angelo M, Cimini A. Organoids Modeling Stroke in a Petri Dish. Biomedicines 2024; 12:877. [PMID: 38672231 PMCID: PMC11048104 DOI: 10.3390/biomedicines12040877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
Stroke is a common neurological disorder, the second leading cause of death, and the third leading cause of disability. Unfortunately, the only approved drug for it is tissue plasminogen, but the therapeutic window is limited. In this context, preclinical studies are relevant to better dissect the underlying mechanisms of stroke and for the drug screening of potential therapies. Brain organoids could be relevant in this setting. They are derived from pluripotent stem cells or isolated organ progenitors that differentiate to form an organ-like tissue, exhibiting multiple cell types that self-organize to form a structure not unlike the organ in vivo. Brain organoids mimic many key features of early human brain development at molecular, cellular, structural, and functional levels and have emerged as novel model systems that can be used to investigate human brain diseases including stroke. Brain organoids are a promising and powerful tool for ischemic stroke studies; however, there are a few concerns that need to be addressed, including the lack of vascularization and the many cell types that are typically present in the human brain. The aim of this review is to discuss the potential of brain organoids as a novel model system for studying ischemic stroke, highlighting both the advantages and disadvantages in the use of this technology.
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Affiliation(s)
| | | | - Michele d’Angelo
- Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (C.G.); (V.C.)
| | - Annamaria Cimini
- Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (C.G.); (V.C.)
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19
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Kwon YW, Ahn DB, Park YG, Kim E, Lee DH, Kim SW, Lee KH, Kim WY, Hong YM, Koh CS, Jung HH, Chang JW, Lee SY, Park JU. Power-integrated, wireless neural recording systems on the cranium using a direct printing method for deep-brain analysis. SCIENCE ADVANCES 2024; 10:eadn3784. [PMID: 38569040 PMCID: PMC10990281 DOI: 10.1126/sciadv.adn3784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 02/27/2024] [Indexed: 04/05/2024]
Abstract
Conventional power-integrated wireless neural recording devices suffer from bulky, rigid batteries in head-mounted configurations, hindering the precise interpretation of the subject's natural behaviors. These power sources also pose risks of material leakage and overheating. We present the direct printing of a power-integrated wireless neural recording system that seamlessly conforms to the cranium. A quasi-solid-state Zn-ion microbattery was 3D-printed as a built-in power source geometrically synchronized to the shape of a mouse skull. Soft deep-brain neural probes, interconnections, and auxiliary electronics were also printed using liquid metals on the cranium with high resolutions. In vivo studies using mice demonstrated the reliability and biocompatibility of this wireless neural recording system, enabling the monitoring of neural activities across extensive brain regions without notable heat generation. This all-printed neural interface system revolutionizes brain research, providing bio-conformable, customizable configurations for improved data quality and naturalistic experimentation.
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Affiliation(s)
- Yong Won Kwon
- Department of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
| | - David B. Ahn
- Department of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
| | - Young-Geun Park
- Department of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
| | - Enji Kim
- Department of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
| | - Dong Ha Lee
- Department of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
| | - Sang-Woo Kim
- Department of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
| | - Kwon-Hyung Lee
- Ulsan Advanced Energy Technology R&D Center, Korea Institute of Energy Research (KIER), Ulsan 44776, Republic of Korea
| | - Won-Yeong Kim
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03772, Republic of Korea
| | - Yeon-Mi Hong
- Department of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
| | - Chin Su Koh
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Hyun Ho Jung
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Jin Woo Chang
- Department of Neurosurgery, Korea University Anam Hospital, Seoul 02841, Republic of Korea
| | - Sang-Young Lee
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03772, Republic of Korea
| | - Jang-Ung Park
- Department of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul 03722, Republic of Korea
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20
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Akkouh IA, Ueland T, Szabo A, Hughes T, Smeland OB, Andreassen OA, Osete JR, Djurovic S. Longitudinal Transcriptomic Analysis of Human Cortical Spheroids Identifies Axonal Dysregulation in the Prenatal Brain as a Mediator of Genetic Risk for Schizophrenia. Biol Psychiatry 2024; 95:687-698. [PMID: 37661009 DOI: 10.1016/j.biopsych.2023.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 07/28/2023] [Accepted: 08/22/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Schizophrenia (SCZ) has a known neurodevelopmental etiology, but limited access to human prenatal brain tissue hampers the investigation of basic disease mechanisms in early brain development. Here, we elucidate the molecular mechanisms contributing to SCZ risk in a disease-relevant model of the prenatal human brain. METHODS We generated induced pluripotent stem cell-derived organoids, termed human cortical spheroids (hCSs), from a large, genetically stratified sample of 14 SCZ cases and 14 age- and sex-matched controls. The hCSs were differentiated for 150 days, and comprehensive molecular characterization across 4 time points was carried out. RESULTS The transcriptional and cellular architecture of hCSs closely resembled that of fetal brain tissue at 10 to 24 postconception weeks, showing strongest spatial overlap with frontal regions of the cerebral cortex. A total of 3520 genes were differentially modulated between SCZ and control hCSs across organoid maturation, displaying a significant contribution of genetic loading, an overrepresentation of risk genes for autism spectrum disorder and SCZ, and the strongest enrichment for axonal processes in all hCS stages. The two axon guidance genes SEMA7A and SEMA5A, the first a promoter of synaptic functions and the second a repressor, were downregulated and upregulated, respectively, in SCZ hCSs. This expression pattern was confirmed at the protein level and replicated in a large postmortem sample. CONCLUSIONS Applying a disease-relevant model of the developing fetal brain, we identified consistent dysregulation of axonal genes as an early risk factor for SCZ, providing novel insights into the effects of genetic predisposition on the neurodevelopmental origins of the disorder.
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Affiliation(s)
- Ibrahim A Akkouh
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
| | - Thor Ueland
- Research Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway; K.G. Jebsen Thrombosis Research and Expertise Center, University of Tromsø, Tromsø, Norway
| | - Attila Szabo
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Timothy Hughes
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Olav B Smeland
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Jordi Requena Osete
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Department of Clinical Science, University of Bergen, Bergen, Norway.
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21
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Luppi AI, Rosas FE, Noonan MP, Mediano PAM, Kringelbach ML, Carhart-Harris RL, Stamatakis EA, Vernon AC, Turkheimer FE. Oxygen and the Spark of Human Brain Evolution: Complex Interactions of Metabolism and Cortical Expansion across Development and Evolution. Neuroscientist 2024; 30:173-198. [PMID: 36476177 DOI: 10.1177/10738584221138032] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Scientific theories on the functioning and dysfunction of the human brain require an understanding of its development-before and after birth and through maturation to adulthood-and its evolution. Here we bring together several accounts of human brain evolution by focusing on the central role of oxygen and brain metabolism. We argue that evolutionary expansion of human transmodal association cortices exceeded the capacity of oxygen delivery by the vascular system, which led these brain tissues to rely on nonoxidative glycolysis for additional energy supply. We draw a link between the resulting lower oxygen tension and its effect on cytoarchitecture, which we posit as a key driver of genetic developmental programs for the human brain-favoring lower intracortical myelination and the presence of biosynthetic materials for synapse turnover. Across biological and temporal scales, this protracted capacity for neural plasticity sets the conditions for cognitive flexibility and ongoing learning, supporting complex group dynamics and intergenerational learning that in turn enabled improved nutrition to fuel the metabolic costs of further cortical expansion. Our proposed model delineates explicit mechanistic links among metabolism, molecular and cellular brain heterogeneity, and behavior, which may lead toward a clearer understanding of brain development and its disorders.
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Affiliation(s)
- Andrea I Luppi
- Department of Clinical Neurosciences and Division of Anaesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Leverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - Fernando E Rosas
- Department of Informatics, University of Sussex, Brighton, UK
- Centre for Psychedelic Research, Department of Brain Science, Imperial College London, London, UK
- Centre for Complexity Science, Imperial College London, London, UK
- Centre for Eudaimonia and Human Flourishing, University of Oxford, Oxford, UK
| | - MaryAnn P Noonan
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Pedro A M Mediano
- Department of Psychology, University of Cambridge, Cambridge, UK
- Department of Psychology, Queen Mary University of London, London, UK
- Department of Computing, Imperial College London, London, UK
| | - Morten L Kringelbach
- Centre for Eudaimonia and Human Flourishing, University of Oxford, Oxford, UK
- Center for Music in the Brain, Aarhus University, Aarhus, Denmark
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Robin L Carhart-Harris
- Psychedelics Division-Neuroscape, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Emmanuel A Stamatakis
- Department of Clinical Neurosciences and Division of Anaesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Anthony C Vernon
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Federico E Turkheimer
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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22
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Maussion G, Rocha C, Ramoz N. iPSC-derived models for anorexia nervosa research. Trends Mol Med 2024; 30:339-349. [PMID: 38472034 DOI: 10.1016/j.molmed.2024.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 02/14/2024] [Accepted: 02/16/2024] [Indexed: 03/14/2024]
Abstract
Anorexia nervosa (AN) is a complex neuropsychiatric disorder with genetic and epigenetic components that results in reduced food intake combined with alterations in the reward-processing network. While studies of patient cohorts and mouse models have uncovered genes and epigenetic changes associated with the disease, neuronal networks and brain areas preferentially activated and metabolic changes associated with reduced food intake, the underlying molecular and cellular mechanisms remain unknown. The use of both 2D in vitro cultures and 3D models, namely organoids and spheroids, derived from either human embryonic stem cells (ESCs) or induced pluripotent stem cells (iPSCs), would allow identification of cell type-specific changes associated with AN and comorbid diseases, to study preferential connections between brain areas and organs, and the development of therapeutic strategies.
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Affiliation(s)
- Gilles Maussion
- The Neuro's Early Drug Discovery Unit (EDDU), McGill University, Montreal, Quebec H3A 2B4, Canada.
| | - Cecilia Rocha
- The Neuro's Early Drug Discovery Unit (EDDU), McGill University, Montreal, Quebec H3A 2B4, Canada
| | - Nicolas Ramoz
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris 75014, France; GHU Paris Psychiatrie et Neurosciences, CMME, Hôpital Sainte-Anne, Paris F-75014, France
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23
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Radenkovic S, Budhraja R, Klein-Gunnewiek T, King AT, Bhatia TN, Ligezka AN, Driesen K, Shah R, Ghesquière B, Pandey A, Kasri NN, Sloan SA, Morava E, Kozicz T. Neural and metabolic dysregulation in PMM2-deficient human in vitro neural models. Cell Rep 2024; 43:113883. [PMID: 38430517 DOI: 10.1016/j.celrep.2024.113883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 01/18/2024] [Accepted: 02/13/2024] [Indexed: 03/04/2024] Open
Abstract
Phosphomannomutase 2-congenital disorder of glycosylation (PMM2-CDG) is a rare inborn error of metabolism caused by deficiency of the PMM2 enzyme, which leads to impaired protein glycosylation. While the disorder presents with primarily neurological symptoms, there is limited knowledge about the specific brain-related changes caused by PMM2 deficiency. Here, we demonstrate aberrant neural activity in 2D neuronal networks from PMM2-CDG individuals. Utilizing multi-omics datasets from 3D human cortical organoids (hCOs) derived from PMM2-CDG individuals, we identify widespread decreases in protein glycosylation, highlighting impaired glycosylation as a key pathological feature of PMM2-CDG, as well as impaired mitochondrial structure and abnormal glucose metabolism in PMM2-deficient hCOs, indicating disturbances in energy metabolism. Correlation between PMM2 enzymatic activity in hCOs and symptom severity suggests that the level of PMM2 enzyme function directly influences neurological manifestations. These findings enhance our understanding of specific brain-related perturbations associated with PMM2-CDG, offering insights into the underlying mechanisms and potential directions for therapeutic interventions.
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Affiliation(s)
- Silvia Radenkovic
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA
| | - Rohit Budhraja
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Teun Klein-Gunnewiek
- Department of Human Genetics, Radboud University Medical Centre, 6525 XZ Nijmegen, the Netherlands
| | - Alexia Tyler King
- Department of Human Genetics, Emory University, Atlanta, GA 30322, USA
| | - Tarun N Bhatia
- Department of Human Genetics, Emory University, Atlanta, GA 30322, USA
| | - Anna N Ligezka
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA
| | - Karen Driesen
- Metabolomics Expertise Center, VIB-KU Leuven, 3000 Leuven, Belgium
| | - Rameen Shah
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA; Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA
| | - Bart Ghesquière
- Metabolomics Expertise Center, VIB-KU Leuven, 3000 Leuven, Belgium; Laboratory of Applied Mass Spectrometry, KU Leuven, 3000 Leuven, Belgium
| | - Akhilesh Pandey
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA; Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India
| | - Nael Nadif Kasri
- Department of Human Genetics, Radboud University Medical Centre, 6525 XZ Nijmegen, the Netherlands
| | - Steven A Sloan
- Department of Human Genetics, Emory University, Atlanta, GA 30322, USA
| | - Eva Morava
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA; Department of Biophysics, University of Pécs Medical School, 7624 Pécs, Hungary; Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Tamas Kozicz
- Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA; Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA; Department of Anatomy, University of Pécs Medical School, 7624 Pécs, Hungary; Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA.
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24
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Giorgi C, Lombardozzi G, Ammannito F, Scenna MS, Maceroni E, Quintiliani M, d’Angelo M, Cimini A, Castelli V. Brain Organoids: A Game-Changer for Drug Testing. Pharmaceutics 2024; 16:443. [PMID: 38675104 PMCID: PMC11054008 DOI: 10.3390/pharmaceutics16040443] [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: 02/07/2024] [Revised: 03/12/2024] [Accepted: 03/20/2024] [Indexed: 04/28/2024] Open
Abstract
Neurological disorders are the second cause of death and the leading cause of disability worldwide. Unfortunately, no cure exists for these disorders, but the actual therapies are only able to ameliorate people's quality of life. Thus, there is an urgent need to test potential therapeutic approaches. Brain organoids are a possible valuable tool in the study of the brain, due to their ability to reproduce different brain regions and maturation stages; they can be used also as a tool for disease modelling and target identification of neurological disorders. Recently, brain organoids have been used in drug-screening processes, even if there are several limitations to overcome. This review focuses on the description of brain organoid development and drug-screening processes, discussing the advantages, challenges, and limitations of the use of organoids in modeling neurological diseases. We also highlighted the potential of testing novel therapeutic approaches. Finally, we examine the challenges and future directions to improve the drug-screening process.
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Affiliation(s)
| | | | | | | | | | | | | | - Annamaria Cimini
- Department of Life, Health and Environmental Science, University of L’Aquila, 67100 L’Aquila, Italy; (C.G.); (G.L.); (F.A.); (M.S.S.); (E.M.); (M.Q.); (M.d.)
| | - Vanessa Castelli
- Department of Life, Health and Environmental Science, University of L’Aquila, 67100 L’Aquila, Italy; (C.G.); (G.L.); (F.A.); (M.S.S.); (E.M.); (M.Q.); (M.d.)
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25
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Capendale PE, García-Rodríguez I, Ambikan AT, Mulder LA, Depla JA, Freeze E, Koen G, Calitz C, Sood V, Vieira de Sá R, Neogi U, Pajkrt D, Sridhar A, Wolthers KC. Parechovirus infection in human brain organoids: host innate inflammatory response and not neuro-infectivity correlates to neurologic disease. Nat Commun 2024; 15:2532. [PMID: 38514653 PMCID: PMC10958052 DOI: 10.1038/s41467-024-46634-9] [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: 11/16/2023] [Accepted: 02/29/2024] [Indexed: 03/23/2024] Open
Abstract
Picornaviruses are a leading cause of central nervous system (CNS) infections. While genotypes such as parechovirus A3 (PeV-A3) and echovirus 11 (E11) can elicit severe neurological disease, the highly prevalent PeV-A1 is not associated with CNS disease. Here, we expand our current understanding of these differences in PeV-A CNS disease using human brain organoids and clinical isolates of the two PeV-A genotypes. Our data indicate that PeV-A1 and A3 specific differences in neurological disease are not due to infectivity of CNS cells as both viruses productively infect brain organoids with a similar cell tropism. Proteomic analysis shows that PeV-A infection significantly alters the host cell metabolism. The inflammatory response following PeV-A3 (and E11 infection) is significantly more potent than that upon PeV-A1 infection. Collectively, our findings align with clinical observations and suggest a role for neuroinflammation, rather than viral replication, in PeV-A3 (and E11) infection.
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Affiliation(s)
- Pamela E Capendale
- OrganoVIR Labs, Emma Children's Hospital, Department of Pediatric Infectious Diseases, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, Amsterdam Institute for Reproduction and Development, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- OrganoVIR Labs, Department of Medical Microbiology, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Inés García-Rodríguez
- OrganoVIR Labs, Emma Children's Hospital, Department of Pediatric Infectious Diseases, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, Amsterdam Institute for Reproduction and Development, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- OrganoVIR Labs, Department of Medical Microbiology, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Anoop T Ambikan
- The Systems Virology Lab, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Lance A Mulder
- OrganoVIR Labs, Emma Children's Hospital, Department of Pediatric Infectious Diseases, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, Amsterdam Institute for Reproduction and Development, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- OrganoVIR Labs, Department of Medical Microbiology, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Josse A Depla
- OrganoVIR Labs, Department of Medical Microbiology, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- UniQure Biopharma B.V., Department of Research & Development, Paasheuvelweg 25A, Amsterdam, The Netherlands
| | - Eline Freeze
- OrganoVIR Labs, Emma Children's Hospital, Department of Pediatric Infectious Diseases, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, Amsterdam Institute for Reproduction and Development, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- OrganoVIR Labs, Department of Medical Microbiology, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Gerrit Koen
- OrganoVIR Labs, Department of Medical Microbiology, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Carlemi Calitz
- OrganoVIR Labs, Emma Children's Hospital, Department of Pediatric Infectious Diseases, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, Amsterdam Institute for Reproduction and Development, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- OrganoVIR Labs, Department of Medical Microbiology, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Vikas Sood
- The Systems Virology Lab, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
- Department of Biochemistry, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi, India
| | - Renata Vieira de Sá
- OrganoVIR Labs, Department of Medical Microbiology, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- The Systems Virology Lab, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Ujjwal Neogi
- The Systems Virology Lab, Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Campus Flemingsberg, Stockholm, Sweden
| | - Dasja Pajkrt
- OrganoVIR Labs, Emma Children's Hospital, Department of Pediatric Infectious Diseases, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, Amsterdam Institute for Reproduction and Development, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- OrganoVIR Labs, Department of Medical Microbiology, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Adithya Sridhar
- OrganoVIR Labs, Emma Children's Hospital, Department of Pediatric Infectious Diseases, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, Amsterdam Institute for Reproduction and Development, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- OrganoVIR Labs, Department of Medical Microbiology, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
- Emma Center for Personalized Medicine, Amsterdam UMC, Amsterdam, The Netherlands
| | - Katja C Wolthers
- OrganoVIR Labs, Department of Medical Microbiology, Amsterdam UMC, Academic Medical Center, Amsterdam Institute for Infection and Immunity, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
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26
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Park YG, Kwon YW, Koh CS, Kim E, Lee DH, Kim S, Mun J, Hong YM, Lee S, Kim JY, Lee JH, Jung HH, Cheon J, Chang JW, Park JU. In-vivo integration of soft neural probes through high-resolution printing of liquid electronics on the cranium. Nat Commun 2024; 15:1772. [PMID: 38413568 PMCID: PMC10899244 DOI: 10.1038/s41467-024-45768-0] [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: 12/07/2023] [Accepted: 02/01/2024] [Indexed: 02/29/2024] Open
Abstract
Current soft neural probes are still operated by bulky, rigid electronics mounted to a body, which deteriorate the integrity of the device to biological systems and restrict the free behavior of a subject. We report a soft, conformable neural interface system that can monitor the single-unit activities of neurons with long-term stability. The system implements soft neural probes in the brain, and their subsidiary electronics which are directly printed on the cranial surface. The high-resolution printing of liquid metals forms soft neural probes with a cellular-scale diameter and adaptable lengths. Also, the printing of liquid metal-based circuits and interconnections along the curvature of the cranium enables the conformal integration of electronics to the body, and the cranial circuit delivers neural signals to a smartphone wirelessly. In the in-vivo studies using mice, the system demonstrates long-term recording (33 weeks) of neural activities in arbitrary brain regions. In T-maze behavioral tests, the system shows the behavior-induced activation of neurons in multiple brain regions.
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Affiliation(s)
- Young-Geun Park
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
| | - Yong Won Kwon
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
| | - Chin Su Koh
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, 03722, South Korea
| | - Enji Kim
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
| | - Dong Ha Lee
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
| | - Sumin Kim
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
| | - Jongmin Mun
- Department of Statistics and Data Science, Yonsei University, Seoul, 03722, South Korea
| | - Yeon-Mi Hong
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
| | - Sanghoon Lee
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
| | - Ju-Young Kim
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, 03722, South Korea
| | - Jae-Hyun Lee
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, 03722, South Korea
| | - Hyun Ho Jung
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, 03722, South Korea.
| | - Jinwoo Cheon
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea.
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, 03722, South Korea.
- Department of Chemistry, Yonsei University, Seoul, 03722, South Korea.
| | - Jin Woo Chang
- Department of Neurosurgery, Korea University Anam Hospital, Seoul, 02841, South Korea.
| | - Jang-Ung Park
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, South Korea.
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, 03722, South Korea.
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, 03722, South Korea.
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, 03722, South Korea.
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27
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Sojka C, Sloan SA. Gliomas: a reflection of temporal gliogenic principles. Commun Biol 2024; 7:156. [PMID: 38321118 PMCID: PMC10847444 DOI: 10.1038/s42003-024-05833-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 01/18/2024] [Indexed: 02/08/2024] Open
Abstract
The hijacking of early developmental programs is a canonical feature of gliomas where neoplastic cells resemble neurodevelopmental lineages and possess mechanisms of stem cell resilience. Given these parallels, uncovering how and when in developmental time gliomagenesis intersects with normal trajectories can greatly inform our understanding of tumor biology. Here, we review how elapsing time impacts the developmental principles of astrocyte (AS) and oligodendrocyte (OL) lineages, and how these same temporal programs are replicated, distorted, or circumvented in pathological settings such as gliomas. Additionally, we discuss how normal gliogenic processes can inform our understanding of the temporal progression of gliomagenesis, including when in developmental time gliomas originate, thrive, and can be pushed towards upon therapeutic coercion.
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Affiliation(s)
- Caitlin Sojka
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Steven A Sloan
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.
- Emory Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA, USA.
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28
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Hendriks D, Pagliaro A, Andreatta F, Ma Z, van Giessen J, Massalini S, López-Iglesias C, van Son GJF, DeMartino J, Damen JMA, Zoutendijk I, Staliarova N, Bredenoord AL, Holstege FCP, Peters PJ, Margaritis T, Chuva de Sousa Lopes S, Wu W, Clevers H, Artegiani B. Human fetal brain self-organizes into long-term expanding organoids. Cell 2024; 187:712-732.e38. [PMID: 38194967 DOI: 10.1016/j.cell.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 09/27/2023] [Accepted: 12/05/2023] [Indexed: 01/11/2024]
Abstract
Human brain development involves an orchestrated, massive neural progenitor expansion while a multi-cellular tissue architecture is established. Continuously expanding organoids can be grown directly from multiple somatic tissues, yet to date, brain organoids can solely be established from pluripotent stem cells. Here, we show that healthy human fetal brain in vitro self-organizes into organoids (FeBOs), phenocopying aspects of in vivo cellular heterogeneity and complex organization. FeBOs can be expanded over long time periods. FeBO growth requires maintenance of tissue integrity, which ensures production of a tissue-like extracellular matrix (ECM) niche, ultimately endowing FeBO expansion. FeBO lines derived from different areas of the central nervous system (CNS), including dorsal and ventral forebrain, preserve their regional identity and allow to probe aspects of positional identity. Using CRISPR-Cas9, we showcase the generation of syngeneic mutant FeBO lines for the study of brain cancer. Taken together, FeBOs constitute a complementary CNS organoid platform.
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Affiliation(s)
- Delilah Hendriks
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands; Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW), Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands.
| | - Anna Pagliaro
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | | | - Ziliang Ma
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A(∗)STAR), Immunos, Singapore 138648, Singapore; Department of Pharmacy, National University of Singapore, Singapore 117543, Singapore
| | - Joey van Giessen
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Simone Massalini
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Carmen López-Iglesias
- The Maastricht Multimodal Molecular Imaging Institute, Maastricht University, Maastricht, the Netherlands
| | - Gijs J F van Son
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands
| | - Jeff DeMartino
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - J Mirjam A Damen
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
| | - Iris Zoutendijk
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Nadzeya Staliarova
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
| | - Annelien L Bredenoord
- Erasmus School of Philosophy, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Frank C P Holstege
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands; Center for Molecular Medicine, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Peter J Peters
- The Maastricht Multimodal Molecular Imaging Institute, Maastricht University, Maastricht, the Netherlands
| | | | | | - Wei Wu
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A(∗)STAR), Immunos, Singapore 138648, Singapore; Department of Pharmacy, National University of Singapore, Singapore 117543, Singapore
| | - Hans Clevers
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands; Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW), Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands.
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Li M, Sun H, Hou Z, Hao S, Jin L, Wang B. Engineering the Physical Microenvironment into Neural Organoids for Neurogenesis and Neurodevelopment. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2306451. [PMID: 37771182 DOI: 10.1002/smll.202306451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 09/04/2023] [Indexed: 09/30/2023]
Abstract
Understanding the signals from the physical microenvironment is critical for deciphering the processes of neurogenesis and neurodevelopment. The discovery of how surrounding physical signals shape human developing neurons is hindered by the bottleneck of conventional cell culture and animal models. Notwithstanding neural organoids provide a promising platform for recapitulating human neurogenesis and neurodevelopment, building neuronal physical microenvironment that accurately mimics the native neurophysical features is largely ignored in current organoid technologies. Here, it is discussed how the physical microenvironment modulates critical events during the periods of neurogenesis and neurodevelopment, such as neural stem cell fates, neural tube closure, neuronal migration, axonal guidance, optic cup formation, and cortical folding. Although animal models are widely used to investigate the impacts of physical factors on neurodevelopment and neuropathy, the important roles of human stem cell-derived neural organoids in this field are particularly highlighted. Considering the great promise of human organoids, building neural organoid microenvironments with mechanical forces, electrophysiological microsystems, and light manipulation will help to fully understand the physical cues in neurodevelopmental processes. Neural organoids combined with cutting-edge techniques, such as advanced atomic force microscopes, microrobots, and structural color biomaterials might promote the development of neural organoid-based research and neuroscience.
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Affiliation(s)
- Minghui Li
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China
- Southwest Hospital/Southwest Eye Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Heng Sun
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China
| | - Zongkun Hou
- Key Laboratory of Infectious Immune and Antibody Engineering of Guizhou Province, Engineering Research Center of Cellular Immunotherapy of Guizhou Province, School of Biology and Engineering/School of Basic Medical Sciences, Guizhou Medical University, Guiyang, 550025, China
| | - Shilei Hao
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China
| | - Liang Jin
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China
| | - Bochu Wang
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400045, China
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30
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Patel D, Shetty S, Acha C, Pantoja IEM, Zhao A, George D, Gracias DH. Microinstrumentation for Brain Organoids. Adv Healthc Mater 2024:e2302456. [PMID: 38217546 DOI: 10.1002/adhm.202302456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 12/10/2023] [Indexed: 01/15/2024]
Abstract
Brain organoids are three-dimensional aggregates of self-organized differentiated stem cells that mimic the structure and function of human brain regions. Organoids bridge the gaps between conventional drug screening models such as planar mammalian cell culture, animal studies, and clinical trials. They can revolutionize the fields of developmental biology, neuroscience, toxicology, and computer engineering. Conventional microinstrumentation for conventional cellular engineering, such as planar microfluidic chips; microelectrode arrays (MEAs); and optical, magnetic, and acoustic techniques, has limitations when applied to three-dimensional (3D) organoids, primarily due to their limits with inherently two-dimensional geometry and interfacing. Hence, there is an urgent need to develop new instrumentation compatible with live cell culture techniques and with scalable 3D formats relevant to organoids. This review discusses conventional planar approaches and emerging 3D microinstrumentation necessary for advanced organoid-machine interfaces. Specifically, this article surveys recently developed microinstrumentation, including 3D printed and curved microfluidics, 3D and fast-scan optical techniques, buckling and self-folding MEAs, 3D interfaces for electrochemical measurements, and 3D spatially controllable magnetic and acoustic technologies relevant to two-way information transfer with brain organoids. This article highlights key challenges that must be addressed for robust organoid culture and reliable 3D spatiotemporal information transfer.
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Affiliation(s)
- Devan Patel
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Saniya Shetty
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Chris Acha
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Itzy E Morales Pantoja
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Alice Zhao
- Department of Biology, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Derosh George
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - David H Gracias
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Chemistry, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, 21218, USA
- Sidney Kimmel Comprehensive Cancer Center (SKCCC), Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Center for MicroPhysiological Systems (MPS), Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
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31
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Luo EY, Sugimura RR. Taming microglia: the promise of engineered microglia in treating neurological diseases. J Neuroinflammation 2024; 21:19. [PMID: 38212785 PMCID: PMC10785527 DOI: 10.1186/s12974-024-03015-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 01/04/2024] [Indexed: 01/13/2024] Open
Abstract
Microglia, the CNS-resident immune cells, are implicated in many neurological diseases. Nearly one in six of the world's population suffers from neurological disorders, encompassing neurodegenerative and neuroautoimmune diseases, most with dysregulated neuroinflammation involved. Activated microglia become phagocytotic and secret various immune molecules, which are mediators of the brain immune microenvironment. Given their ability to penetrate through the blood-brain barrier in the neuroinflammatory context and their close interaction with neurons and other glial cells, microglia are potential therapeutic delivery vehicles and modulators of neuronal activity. Re-engineering microglia to treat neurological diseases is, thus, increasingly gaining attention. By altering gene expression, re-programmed microglia can be utilized to deliver therapeutics to targeted sites and control neuroinflammation in various neuroinflammatory diseases. This review addresses the current development in microglial engineering, including genetic targeting and therapeutic modulation. Furthermore, we discuss limitations to the genetic engineering techniques and models used to test the functionality of re-engineered microglia, including cell culture and animal models. Finally, we will discuss future directions for the application of engineered microglia in treating neurological diseases.
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Affiliation(s)
- Echo Yongqi Luo
- School of Biological Sciences, Faculty of Science, The University of Hong Kong, Pokfulam, Hong Kong
| | - Rio Ryohichi Sugimura
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.
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32
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Bai Y, Camargo CM, Glasauer SMK, Gifford R, Tian X, Longhini AP, Kosik KS. Single-cell mapping of lipid metabolites using an infrared probe in human-derived model systems. Nat Commun 2024; 15:350. [PMID: 38191490 PMCID: PMC10774263 DOI: 10.1038/s41467-023-44675-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 12/20/2023] [Indexed: 01/10/2024] Open
Abstract
Understanding metabolic heterogeneity is the key to uncovering the underlying mechanisms of metabolic-related diseases. Current metabolic imaging studies suffer from limitations including low resolution and specificity, and the model systems utilized often lack human relevance. Here, we present a single-cell metabolic imaging platform to enable direct imaging of lipid metabolism with high specificity in various human-derived 2D and 3D culture systems. Through the incorporation of an azide-tagged infrared probe, selective detection of newly synthesized lipids in cells and tissue became possible, while simultaneous fluorescence imaging enabled cell-type identification in complex tissues. In proof-of-concept experiments, newly synthesized lipids were directly visualized in human-relevant model systems among different cell types, mutation status, differentiation stages, and over time. We identified upregulated lipid metabolism in progranulin-knockdown human induced pluripotent stem cells and in their differentiated microglia cells. Furthermore, we observed that neurons in brain organoids exhibited a significantly lower lipid metabolism compared to astrocytes.
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Affiliation(s)
- Yeran Bai
- Neuroscience Research Institute, Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA.
- Photothermal Spectroscopy Corp., Santa Barbara, CA, USA.
| | - Carolina M Camargo
- Neuroscience Research Institute, Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Stella M K Glasauer
- Neuroscience Research Institute, Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Raymond Gifford
- Neuroscience Research Institute, Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Xinran Tian
- Neuroscience Research Institute, Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Andrew P Longhini
- Neuroscience Research Institute, Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Kenneth S Kosik
- Neuroscience Research Institute, Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA.
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33
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Saglam-Metiner P, Yildirim E, Dincer C, Basak O, Yesil-Celiktas O. Humanized brain organoids-on-chip integrated with sensors for screening neuronal activity and neurotoxicity. Mikrochim Acta 2024; 191:71. [PMID: 38168828 DOI: 10.1007/s00604-023-06165-4] [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: 10/10/2023] [Accepted: 12/21/2023] [Indexed: 01/05/2024]
Abstract
The complex structure and function of the human central nervous system that develops from the neural tube made in vitro modeling quite challenging until the discovery of brain organoids. Human-induced pluripotent stem cells-derived brain organoids offer recapitulation of the features of early human neurodevelopment in vitro, including the generation, proliferation, and differentiation into mature neurons and micro-macroglial cells, as well as the complex interactions among these diverse cell types of the developing brain. Recent advancements in brain organoids, microfluidic systems, real-time sensing technologies, and their cutting-edge integrated use provide excellent models and tools for emulation of fundamental neurodevelopmental processes, the pathology of neurological disorders, personalized transplantation therapy, and high-throughput neurotoxicity testing by bridging the gap between two-dimensional models and the complex three-dimensional environment in vivo. In this review, we summarize how bioengineering approaches are applied to mitigate the limitations of brain organoids for biomedical and clinical research. We further provide an extensive overview and future perspectives of the humanized brain organoids-on-chip platforms with integrated sensors toward brain organoid intelligence and biocomputing studies. Such approaches might pave the way for increasing approvable clinical applications by solving their current limitations.
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Affiliation(s)
- Pelin Saglam-Metiner
- Department of Bioengineering, Faculty of Engineering, Ege University, Izmir, Turkey
- Department of Translational Neuroscience, Division of Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Ender Yildirim
- Department of Mechanical Engineering, Middle East Technical University, Ankara, Turkey
- ODTÜ MEMS Center, Ankara, Turkey
| | - Can Dincer
- Department of Microsystems Engineering (IMTEK), University of Freiburg, Freiburg, Germany
- FIT Freiburg Center for Interactive Materials and Bioinspired Technologies, University of Freiburg, Freiburg, Germany
| | - Onur Basak
- Department of Translational Neuroscience, Division of Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Ozlem Yesil-Celiktas
- Department of Bioengineering, Faculty of Engineering, Ege University, Izmir, Turkey.
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34
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Lavazza A, Chinaia AA. Human brain organoids and their ethical issues : Navigating the moral and social challenges between hype and underestimation. EMBO Rep 2024; 25:13-16. [PMID: 38177904 PMCID: PMC10897434 DOI: 10.1038/s44319-023-00007-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 11/10/2023] [Indexed: 01/06/2024] Open
Abstract
Recent advancements in the field are forcing scientists and neuroethicists to balance opposite concerns. Some see no risks at all while some waive red flags.
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Affiliation(s)
- Andrea Lavazza
- Department of Brain and Behavioral Sciences, University of Pavia, Piazza Botta 11, 27100, Pavia, Italy.
| | - Alice Andrea Chinaia
- MInD-MoMiLab, IMT School for Advanced Studies, Piazza San Francesco 19, 55100, Lucca, Italy
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35
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Majumder J, Torr EE, Aisenbrey EA, Lebakken CS, Favreau PF, Richards WD, Yin Y, Chang Q, Murphy WL. Human induced pluripotent stem cell-derived planar neural organoids assembled on synthetic hydrogels. J Tissue Eng 2024; 15:20417314241230633. [PMID: 38361535 PMCID: PMC10868488 DOI: 10.1177/20417314241230633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 01/20/2024] [Indexed: 02/17/2024] Open
Abstract
The tailorable properties of synthetic polyethylene glycol (PEG) hydrogels make them an attractive substrate for human organoid assembly. Here, we formed human neural organoids from iPSC-derived progenitor cells in two distinct formats: (i) cells seeded on a Matrigel surface; and (ii) cells seeded on a synthetic PEG hydrogel surface. Tissue assembly on synthetic PEG hydrogels resulted in three dimensional (3D) planar neural organoids with greater neuronal diversity, greater expression of neurovascular and neuroinflammatory genes, and reduced variability when compared with tissues assembled upon Matrigel. Further, our 3D human tissue assembly approach occurred in an open cell culture format and created a tissue that was sufficiently translucent to allow for continuous imaging. Planar neural organoids formed on PEG hydrogels also showed higher expression of neural, vascular, and neuroinflammatory genes when compared to traditional brain organoids grown in Matrigel suspensions. Further, planar neural organoids contained functional microglia that responded to pro-inflammatory stimuli, and were responsive to anti-inflammatory drugs. These results demonstrate that the PEG hydrogel neural organoids can be used as a physiologically relevant in vitro model of neuro-inflammation.
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Affiliation(s)
- Joydeb Majumder
- Department of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, WI, USA
| | - Elizabeth E Torr
- Department of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, WI, USA
| | - Elizabeth A Aisenbrey
- Department of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, WI, USA
| | | | | | | | - Yanhong Yin
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Qiang Chang
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Departments of Medical Genetics and Neurology, University of Wisconsin-Madison, Madison, WI, USA
| | - William L Murphy
- Department of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
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36
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Pasupuleti V, Vora L, Prasad R, Nandakumar DN, Khatri DK. Glioblastoma preclinical models: Strengths and weaknesses. Biochim Biophys Acta Rev Cancer 2024; 1879:189059. [PMID: 38109948 DOI: 10.1016/j.bbcan.2023.189059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 12/14/2023] [Accepted: 12/15/2023] [Indexed: 12/20/2023]
Abstract
Glioblastoma multiforme is a highly malignant brain tumor with significant intra- and intertumoral heterogeneity known for its aggressive nature and poor prognosis. The complex signaling cascade that regulates this heterogeneity makes targeted drug therapy ineffective. The development of an optimal preclinical model is crucial for the comprehension of molecular heterogeneity and enhancing therapeutic efficacy. The ideal model should establish a relationship between various oncogenes and their corresponding responses. This review presents an analysis of preclinical in vivo and in vitro models that have contributed to the advancement of knowledge in model development. The experimental designs utilized in vivo models consisting of both immunodeficient and immunocompetent mice induced with intracranial glioma. The transgenic model was generated using various techniques, like the viral vector delivery system, transposon system, Cre-LoxP model, and CRISPR-Cas9 approaches. The utilization of the patient-derived xenograft model in glioma research is valuable because it closely replicates the human glioma microenvironment, providing evidence of tumor heterogeneity. The utilization of in vitro techniques in the initial stages of research facilitated the comprehension of molecular interactions. However, these techniques are inadequate in reproducing the interactions between cells and extracellular matrix (ECM). As a result, bioengineered 3D-in vitro models, including spheroids, scaffolds, and brain organoids, were developed to cultivate glioma cells in a three-dimensional environment. These models have enabled researchers to understand the influence of ECM on the invasive nature of tumors. Collectively, these preclinical models effectively depict the molecular pathways and facilitate the evaluation of multiple molecules while tailoring drug therapy.
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Affiliation(s)
- Vasavi Pasupuleti
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, India
| | - Lalitkumar Vora
- School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, BT9 7BL, UK.
| | - Renuka Prasad
- Department of Anatomy, Korea University College of Medicine, Moonsuk Medical Research Building, 516, 5th floor, 73 Inchon-ro, Seongbuk-gu, Seoul 12841, Republic of Korea
| | - D N Nandakumar
- Department of Neurochemistry National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore 560029, India
| | - Dharmendra Kumar Khatri
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, India.
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37
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Dai S, Qiu L, Veeraraghavan VP, Sheu CL, Mony U. Advances in iPSC Technology in Neural Disease Modeling, Drug Screening, and Therapy. Curr Stem Cell Res Ther 2024; 19:809-819. [PMID: 37291782 DOI: 10.2174/1574888x18666230608105703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 04/16/2023] [Accepted: 05/11/2023] [Indexed: 06/10/2023]
Abstract
Neurodegenerative disorders (NDs) including Alzheimer's Disease, Parkinson's Disease, Amyotrophic Lateral Sclerosis (ALS), and Huntington's disease are all incurable and can only be managed with drugs for the associated symptoms. Animal models of human illnesses help to advance our understanding of the pathogenic processes of diseases. Understanding the pathogenesis as well as drug screening using appropriate disease models of neurodegenerative diseases (NDs) are vital for identifying novel therapies. Human-derived induced pluripotent stem cell (iPSC) models can be an efficient model to create disease in a dish and thereby can proceed with drug screening and identifying appropriate drugs. This technology has many benefits, including efficient reprogramming and regeneration potential, multidirectional differentiation, and the lack of ethical concerns, which open up new avenues for studying neurological illnesses in greater depth. The review mainly focuses on the use of iPSC technology in neuronal disease modeling, drug screening, and cell therapy.
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Affiliation(s)
- Sihan Dai
- Department of Biomedical Engineering, Shantou University, Shantou, 515063, China
| | - Linhui Qiu
- Department of Biomedical Engineering, Shantou University, Shantou, 515063, China
| | - Vishnu Priya Veeraraghavan
- Centre of Molecular Medicine and Diagnostics (COMManD), Department of Biochemistry, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600077, India
| | - Chia-Lin Sheu
- Department of Biomedical Engineering, Shantou University, Shantou, 515063, China
| | - Ullas Mony
- Centre of Molecular Medicine and Diagnostics (COMManD), Department of Biochemistry, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600077, India
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38
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Park SB, Lim B, Kim KY, Koh B. Long and Short-Term Effect of mTOR Regulation on Cerebral Organoid Growth and Differentiations. Tissue Eng Regen Med 2024; 21:159-169. [PMID: 38153672 PMCID: PMC10764682 DOI: 10.1007/s13770-023-00611-3] [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: 08/03/2023] [Revised: 09/20/2023] [Accepted: 10/29/2023] [Indexed: 12/29/2023] Open
Abstract
BACKGROUND The mammalian target of rapamycin (mTOR) signaling is critical for the maintenance and differentiation of neurogenesis, and conceivably for many other brain developmental processes. However, in vivo studies of mTOR functions in the brain are often hampered due to the essential role of the associated signaling in brain development. METHODS We monitored the long- and short-term effects of mTOR signaling regulation on cerebral organoids growth, differentiation and function using an mTOR inhibitor (everolimus) and an mTOR activator (MHY1485). RESULTS Short-term treatment with MHY1485 induced faster organoid growth and differentiation, while long-term treatment induced the maturation of cerebral organoids. CONCLUSION These data suggest that the optimal activity of mTOR is crucial in maintaining normal brain development, and its role is not confined to the early neurogenic phase of brain development.
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Affiliation(s)
- Sung Bum Park
- Therapeutics and Biotechnology Division, Korea Research Institute of Chemical Technology, 141 Gajeong-ro, Yuseong-gu, Daejeon, 34114, Republic of Korea
| | - Byungho Lim
- Therapeutics and Biotechnology Division, Korea Research Institute of Chemical Technology, 141 Gajeong-ro, Yuseong-gu, Daejeon, 34114, Republic of Korea
| | - Ki Young Kim
- Therapeutics and Biotechnology Division, Korea Research Institute of Chemical Technology, 141 Gajeong-ro, Yuseong-gu, Daejeon, 34114, Republic of Korea.
| | - Byumseok Koh
- Therapeutics and Biotechnology Division, Korea Research Institute of Chemical Technology, 141 Gajeong-ro, Yuseong-gu, Daejeon, 34114, Republic of Korea.
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39
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Bi Z. Cognition of Time and Thinking Beyond. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1455:171-195. [PMID: 38918352 DOI: 10.1007/978-3-031-60183-5_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
A common research protocol in cognitive neuroscience is to train subjects to perform deliberately designed experiments while recording brain activity, with the aim of understanding the brain mechanisms underlying cognition. However, how the results of this protocol of research can be applied in technology is seldom discussed. Here, I review the studies on time processing of the brain as examples of this research protocol, as well as two main application areas of neuroscience (neuroengineering and brain-inspired artificial intelligence). Time processing is a fundamental dimension of cognition, and time is also an indispensable dimension of any real-world signal to be processed in technology. Therefore, one may expect that the studies of time processing in cognition profoundly influence brain-related technology. Surprisingly, I found that the results from cognitive studies on timing processing are hardly helpful in solving practical problems. This awkward situation may be due to the lack of generalizability of the results of cognitive studies, which are under well-controlled laboratory conditions, to real-life situations. This lack of generalizability may be rooted in the fundamental unknowability of the world (including cognition). Overall, this paper questions and criticizes the usefulness and prospect of the abovementioned research protocol of cognitive neuroscience. I then give three suggestions for future research. First, to improve the generalizability of research, it is better to study brain activity under real-life conditions instead of in well-controlled laboratory experiments. Second, to overcome the unknowability of the world, we can engineer an easily accessible surrogate of the object under investigation, so that we can predict the behavior of the object under investigation by experimenting on the surrogate. Third, the paper calls for technology-oriented research, with the aim of technology creation instead of knowledge discovery.
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Affiliation(s)
- Zedong Bi
- Lingang Laboratory, Shanghai, China.
- Institute for Future, Qingdao University, Qingdao, China.
- School of Automation, Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China.
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40
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Ray SK. TUNEL-n-DIFL Method for Detection and Estimation of Apoptosis Specifically in Neurons and Glial Cells in Mixed Culture and Animal Models of Central Nervous System Diseases and Injuries. Methods Mol Biol 2024; 2761:1-26. [PMID: 38427225 DOI: 10.1007/978-1-0716-3662-6_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Detection of merely apoptosis does not reveal the type of central nervous system (CNS) cells that are dying in the CNS diseases and injuries. In situ detection and estimation of amount of apoptosis specifically in neurons or glial cells (astrocytes, oligodendrocytes, and microglia) can unveil valuable information for designing therapeutics for protection of the CNS cells and functional recovery. A method was first developed and reported from our laboratory for in situ detection and estimation of amount of apoptosis precisely in neurons and glial cells using in vitro and in vivo models of CNS diseases and injuries. This is a combination of terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) and double immunofluorescent labeling (DIFL) or simply TUNEL-n-DIFL method for in situ detection and estimation of amount of apoptosis in a specific CNS cell type. An anti-digoxigenin (DIG) IgG antibody conjugated with 7-amino-4-methylcoumarin-3-acetic acid (AMCA) for blue fluorescence, fluorescein isothiocyanate (FITC) for green fluorescence, or Texas Red (TR) for red fluorescence can be used for in situ detection of apoptotic cell DNA, which is earlier labeled with TUNEL using alkali-stable DIG-11-dUTP. A primary anti-NeuN (neurons), anti-GFAP (astrocytes), anti-MBP (oligodendrocytes), or anti-OX-42 (microglia) IgG antibody and a secondary IgG antibody conjugated with one of the above fluorophores (other than that of ani-DIG antibody) are used for in situ detection of apoptosis in a specific CNS cell type in the mixed culture and animal models of the CNS diseases and injuries.
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Affiliation(s)
- Swapan K Ray
- Department of Pathology, Microbiology, and Immunology, University of South Carolina School of Medicine, Columbia, SC, USA.
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41
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Georgiev DD. Evolution of Consciousness. Life (Basel) 2023; 14:48. [PMID: 38255663 PMCID: PMC10817314 DOI: 10.3390/life14010048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 12/01/2023] [Accepted: 12/25/2023] [Indexed: 01/24/2024] Open
Abstract
The natural evolution of consciousness in different animal species mandates that conscious experiences are causally potent in order to confer any advantage in the struggle for survival. Any endeavor to construct a physical theory of consciousness based on emergence within the framework of classical physics, however, leads to causally impotent conscious experiences in direct contradiction to evolutionary theory since epiphenomenal consciousness cannot evolve through natural selection. Here, we review recent theoretical advances in describing sentience and free will as fundamental aspects of reality granted by quantum physical laws. Modern quantum information theory considers quantum states as a physical resource that endows quantum systems with the capacity to perform physical tasks that are classically impossible. Reductive identification of conscious experiences with the quantum information comprised in quantum brain states allows for causally potent consciousness that is capable of performing genuine choices for future courses of physical action. The consequent evolution of brain cortical networks contributes to increased computational power, memory capacity, and cognitive intelligence of the living organisms.
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Affiliation(s)
- Danko D Georgiev
- Institute for Advanced Study, 30 Vasilaki Papadopulu Str., 9010 Varna, Bulgaria
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42
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Zhou S, Yang J, Li R, Chen Y, Li C, Chen C, Tao Y, Fan S, Wu D, Wen L, Qiu B, Ding W. Live Imaging of 3D Hanging Drop Arrays through Manipulation of Light-Responsive Pyroelectric Slippery Surface and Chip Adhesion. NANO LETTERS 2023; 23:10710-10718. [PMID: 38010943 DOI: 10.1021/acs.nanolett.3c02570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Three-dimensional (3D) hanging drop cell culture is widely used in organoid culture because of its lack of selection pressure and rapid cell aggregation. However, current hanging drop technology has limitations, such as a dependence on complex microfluidic transport channels or specific capillary force templates for drop formation, which leads to unchangeable drop features. These methods also hinder live imaging because of space and complexity constraints. Here, we have developed a hanging drop construction method and created a flexible 3D hanging drop construction platform composed of a manipulation module and an adhesion module. Their harmonious operation allows for the easy construction of hanging drops of varying sizes, types, and patterns. Our platform produces a cell hanging drop chip with small sizes and clear fields of view, thereby making it compatible with live imaging. This platform has great potential for personalized medicine, cancer and drug discovery, tissue engineering, and stem cell research.
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Affiliation(s)
- Shuneng Zhou
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, China
- Department of Oncology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Junfeng Yang
- Department of Precision Machinery and Instrumentation, University of Science and Technology of China, Hefei 230027, China
| | - Rui Li
- Department of Precision Machinery and Instrumentation, University of Science and Technology of China, Hefei 230027, China
| | - Yiyu Chen
- Department of Precision Machinery and Instrumentation, University of Science and Technology of China, Hefei 230027, China
| | - Chengpan Li
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Chao Chen
- Department of Precision Machinery and Instrumentation, University of Science and Technology of China, Hefei 230027, China
| | - Yuan Tao
- Department of Precision Machinery and Instrumentation, University of Science and Technology of China, Hefei 230027, China
| | - Shengying Fan
- Department of Precision Machinery and Instrumentation, University of Science and Technology of China, Hefei 230027, China
| | - Dong Wu
- Department of Precision Machinery and Instrumentation, University of Science and Technology of China, Hefei 230027, China
| | - Li Wen
- Department of Precision Machinery and Instrumentation, University of Science and Technology of China, Hefei 230027, China
| | - Bensheng Qiu
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Weiping Ding
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, China
- Department of Oncology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
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43
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Wahle P, Brancati G, Harmel C, He Z, Gut G, Del Castillo JS, Xavier da Silveira Dos Santos A, Yu Q, Noser P, Fleck JS, Gjeta B, Pavlinić D, Picelli S, Hess M, Schmidt GW, Lummen TTA, Hou Y, Galliker P, Goldblum D, Balogh M, Cowan CS, Scholl HPN, Roska B, Renner M, Pelkmans L, Treutlein B, Camp JG. Multimodal spatiotemporal phenotyping of human retinal organoid development. Nat Biotechnol 2023; 41:1765-1775. [PMID: 37156914 PMCID: PMC10713453 DOI: 10.1038/s41587-023-01747-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 03/13/2023] [Indexed: 05/10/2023]
Abstract
Organoids generated from human pluripotent stem cells provide experimental systems to study development and disease, but quantitative measurements across different spatial scales and molecular modalities are lacking. In this study, we generated multiplexed protein maps over a retinal organoid time course and primary adult human retinal tissue. We developed a toolkit to visualize progenitor and neuron location, the spatial arrangements of extracellular and subcellular components and global patterning in each organoid and primary tissue. In addition, we generated a single-cell transcriptome and chromatin accessibility timecourse dataset and inferred a gene regulatory network underlying organoid development. We integrated genomic data with spatially segmented nuclei into a multimodal atlas to explore organoid patterning and retinal ganglion cell (RGC) spatial neighborhoods, highlighting pathways involved in RGC cell death and showing that mosaic genetic perturbations in retinal organoids provide insight into cell fate regulation.
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Affiliation(s)
- Philipp Wahle
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Giovanna Brancati
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Christoph Harmel
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
- Institute of Human Biology (IHB), Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland
| | - Zhisong He
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Gabriele Gut
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | | | - Aline Xavier da Silveira Dos Santos
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
- Institute of Human Biology (IHB), Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland
| | - Qianhui Yu
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
- Institute of Human Biology (IHB), Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland
| | - Pascal Noser
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Jonas Simon Fleck
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Bruno Gjeta
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
- Institute of Human Biology (IHB), Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland
| | - Dinko Pavlinić
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Simone Picelli
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Max Hess
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - Gregor W Schmidt
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Tom T A Lummen
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Yanyan Hou
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Patricia Galliker
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - David Goldblum
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Marton Balogh
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Cameron S Cowan
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
| | - Hendrik P N Scholl
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Botond Roska
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Magdalena Renner
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
- Department of Ophthalmology, University of Basel, Basel, Switzerland
| | - Lucas Pelkmans
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
| | - Barbara Treutlein
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
| | - J Gray Camp
- Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland.
- Department of Ophthalmology, University of Basel, Basel, Switzerland.
- Institute of Human Biology (IHB), Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland.
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44
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Pagliaro A, Finger R, Zoutendijk I, Bunschuh S, Clevers H, Hendriks D, Artegiani B. Temporal morphogen gradient-driven neural induction shapes single expanded neuroepithelium brain organoids with enhanced cortical identity. Nat Commun 2023; 14:7361. [PMID: 38016960 PMCID: PMC10684874 DOI: 10.1038/s41467-023-43141-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 11/01/2023] [Indexed: 11/30/2023] Open
Abstract
Pluripotent stem cell (PSC)-derived human brain organoids enable the study of human brain development in vitro. Typically, the fate of PSCs is guided into subsequent specification steps through static medium switches. In vivo, morphogen gradients are critical for proper brain development and determine cell specification, and associated defects result in neurodevelopmental disorders. Here, we show that initiating neural induction in a temporal stepwise gradient guides the generation of brain organoids composed of a single, self-organized apical-out neuroepithelium, termed ENOs (expanded neuroepithelium organoids). This is at odds with standard brain organoid protocols in which multiple and independent neuroepithelium units (rosettes) are formed. We find that a prolonged, decreasing gradient of TGF-β signaling is a determining factor in ENO formation and allows for an extended phase of neuroepithelium expansion. In-depth characterization reveals that ENOs display improved cellular morphology and tissue architectural features that resemble in vivo human brain development, including expanded germinal zones. Consequently, cortical specification is enhanced in ENOs. ENOs constitute a platform to study the early events of human cortical development and allow interrogation of the complex relationship between tissue architecture and cellular states in shaping the developing human brain.
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Affiliation(s)
- Anna Pagliaro
- The Princess Maxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Roxy Finger
- The Princess Maxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Iris Zoutendijk
- The Princess Maxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Saskia Bunschuh
- The Princess Maxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Hans Clevers
- The Princess Maxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, Utrecht, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
- Pharma, Research and Early Development (pRED) of F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Delilah Hendriks
- The Princess Maxima Center for Pediatric Oncology, Utrecht, The Netherlands.
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, Utrecht, The Netherlands.
- Oncode Institute, Utrecht, The Netherlands.
| | - Benedetta Artegiani
- The Princess Maxima Center for Pediatric Oncology, Utrecht, The Netherlands.
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45
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Michalski C, Wen Z. Leveraging iPSC technology to assess neuro-immune interactions in neurological and psychiatric disorders. Front Psychiatry 2023; 14:1291115. [PMID: 38025464 PMCID: PMC10672983 DOI: 10.3389/fpsyt.2023.1291115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 10/19/2023] [Indexed: 12/01/2023] Open
Abstract
Communication between the immune and the nervous system is essential for human brain development and homeostasis. Disruption of this intricately regulated crosstalk can lead to neurodevelopmental, psychiatric, or neurodegenerative disorders. While animal models have been essential in characterizing the role of neuroimmunity in development and disease, they come with inherent limitations due to species specific differences, particularly with regard to microglia, the major subset of brain resident immune cells. The advent of induced pluripotent stem cell (iPSC) technology now allows the development of clinically relevant models of the central nervous system that adequately reflect human genetic architecture. This article will review recent publications that have leveraged iPSC technology to assess neuro-immune interactions. First, we will discuss the role of environmental stressors such as neurotropic viruses or pro-inflammatory cytokines on neuronal and glial function. Next, we will review how iPSC models can be used to study genetic risk factors in neurological and psychiatric disorders. Lastly, we will evaluate current challenges and future potential for iPSC models in the field of neuroimmunity.
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Affiliation(s)
- Christina Michalski
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States
| | - Zhexing Wen
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States
- Department of Cell Biology, Emory University School of Medicine, Atlanta, GA, United States
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States
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46
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Uzun YS, Santos R, Marchetto MC, Padmanabhan K. Network size affects the complexity of activity in human iPSC-derived neuronal populations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.31.564939. [PMID: 37961249 PMCID: PMC10635014 DOI: 10.1101/2023.10.31.564939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Multi-electrode recording of neural activity in cultures offer opportunities for understanding how the structure of a network gives rise to function. Although it is hypothesized that network size is critical for determining the dynamics of activity, this relationship in human neural cultures remains largely unexplored. By applying new methods for analyzing neural activity to human iPSC derived cultures at either low-densities or high-densities, we uncovered the significant impacts that neuron number has on the individual neurophysiological properties of cells (such as firing rates), the collective behavior of the networks these cultures formed (as measured by entropy), and the relationship between the two. As a result, simply changing the densities of neurons generated dynamics and network behavior that differed not just in degree, but in kind. Beyond revealing the relationship between network structure and function, our findings provide a novel analytical framework to study diseases where network level activity is affected.
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Affiliation(s)
- Yavuz Selim Uzun
- Department of Physics and Astronomy, University of Rochester
- Del Monte Institute for Neuroscience, University of Rochester School of Medicine
| | - Renata Santos
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Signaling mechanisms in neurological disorders, 102 rue de la Santé, 75014 Paris, France
- Institut Imagine, INSERM U1163, Mechanisms and therapy of genetic brain diseases, Université Paris Cité, 24 Boulevard du Montparnasse, 75015 Paris, France
- Institut des Sciences Biologiques, CNRS, 16 rue Pierre et Marie Curie, 75005 Paris, France
| | | | - Krishnan Padmanabhan
- Del Monte Institute for Neuroscience, University of Rochester School of Medicine
- Department of Neuroscience, University of Rochester School of Medicine and Dentistry
- Center for Visual Science, University of Rochester School of Medicine and Dentistry
- Intellectual Development and Disability Research Center, University of Rochester School of Medicine and Dentistry
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47
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Matuleviciute R, Akinluyi ET, Muntslag TAO, Dewing JM, Long KR, Vernon AC, Tremblay ME, Menassa DA. Microglial contribution to the pathology of neurodevelopmental disorders in humans. Acta Neuropathol 2023; 146:663-683. [PMID: 37656188 PMCID: PMC10564830 DOI: 10.1007/s00401-023-02629-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 08/25/2023] [Accepted: 08/26/2023] [Indexed: 09/02/2023]
Abstract
Microglia are the brain's resident macrophages, which guide various developmental processes crucial for brain maturation, activity, and plasticity. Microglial progenitors enter the telencephalic wall by the 4th postconceptional week and colonise the fetal brain in a manner that spatiotemporally tracks key neurodevelopmental processes in humans. However, much of what we know about how microglia shape neurodevelopment comes from rodent studies. Multiple differences exist between human and rodent microglia warranting further focus on the human condition, particularly as microglia are emerging as critically involved in the pathological signature of various cognitive and neurodevelopmental disorders. In this article, we review the evidence supporting microglial involvement in basic neurodevelopmental processes by focusing on the human species. We next concur on the neuropathological evidence demonstrating whether and how microglia contribute to the aetiology of two neurodevelopmental disorders: autism spectrum conditions and schizophrenia. Next, we highlight how recent technologies have revolutionised our understanding of microglial biology with a focus on how these tools can help us elucidate at unprecedented resolution the links between microglia and neurodevelopmental disorders. We conclude by reviewing which current treatment approaches have shown most promise towards targeting microglia in neurodevelopmental disorders and suggest novel avenues for future consideration.
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Affiliation(s)
- Rugile Matuleviciute
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Elizabeth T Akinluyi
- Division of Medical Sciences, University of Victoria, Victoria, Canada
- Department of Pharmacology and Therapeutics, Afe Babalola University, Ado Ekiti, Nigeria
| | - Tim A O Muntslag
- Princess Maxima Centre for Paediatric Oncology, Utrecht, The Netherlands
| | | | - Katherine R Long
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
- Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Anthony C Vernon
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | | | - David A Menassa
- Department of Neuropathology & The Queen's College, University of Oxford, Oxford, UK.
- Department of Women's and Children's Health, Karolinska Institutet, Solna, Sweden.
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48
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Liu Y, Yao X, Fan C, Zhang G, Luo X, Qian Y. Microfabrication and lab-on-a-chip devices promote in vitromodeling of neural interfaces for neuroscience researches and preclinical applications. Biofabrication 2023; 16:012002. [PMID: 37832555 DOI: 10.1088/1758-5090/ad032a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 10/13/2023] [Indexed: 10/15/2023]
Abstract
Neural tissues react to injuries through the orchestration of cellular reprogramming, generating specialized cells and activating gene expression that helps with tissue remodeling and homeostasis. Simplified biomimetic models are encouraged to amplify the physiological and morphological changes during neural regeneration at cellular and molecular levels. Recent years have witnessed growing interest in lab-on-a-chip technologies for the fabrication of neural interfaces. Neural system-on-a-chip devices are promisingin vitromicrophysiological platforms that replicate the key structural and functional characteristics of neural tissues. Microfluidics and microelectrode arrays are two fundamental techniques that are leveraged to address the need for microfabricated neural devices. In this review, we explore the innovative fabrication, mechano-physiological parameters, spatiotemporal control of neural cell cultures and chip-based neurogenesis. Although the high variability in different constructs, and the restriction in experimental and analytical access limit the real-life applications of microphysiological models, neural system-on-a-chip devices have gained considerable translatability for modeling neuropathies, drug screening and personalized therapy.
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Affiliation(s)
- Yang Liu
- Department of Orthopedics, Shanghai Sixth People's Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai 200233, People's Republic of China
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People's Republic of China
- Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People's Republic of China
| | - Xiangyun Yao
- Department of Orthopedics, Shanghai Sixth People's Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai 200233, People's Republic of China
| | - Cunyi Fan
- Department of Orthopedics, Shanghai Sixth People's Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai 200233, People's Republic of China
| | - Guifeng Zhang
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People's Republic of China
- Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People's Republic of China
| | - Xi Luo
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People's Republic of China
- Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People's Republic of China
| | - Yun Qian
- Department of Orthopedics, Shanghai Sixth People's Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, People's Republic of China
- Shanghai Engineering Research Center for Orthopaedic Material Innovation and Tissue Regeneration, Shanghai 200233, People's Republic of China
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49
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Chiaradia I, Imaz-Rosshandler I, Nilges BS, Boulanger J, Pellegrini L, Das R, Kashikar ND, Lancaster MA. Tissue morphology influences the temporal program of human brain organoid development. Cell Stem Cell 2023; 30:1351-1367.e10. [PMID: 37802039 PMCID: PMC10765088 DOI: 10.1016/j.stem.2023.09.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/22/2023] [Accepted: 09/06/2023] [Indexed: 10/08/2023]
Abstract
Progression through fate decisions determines cellular composition and tissue architecture, but how that same architecture may impact cell fate is less clear. We took advantage of organoids as a tractable model to interrogate this interaction of form and fate. Screening methodological variations revealed that common protocol adjustments impacted various aspects of morphology, from macrostructure to tissue architecture. We examined the impact of morphological perturbations on cell fate through integrated single nuclear RNA sequencing (snRNA-seq) and spatial transcriptomics. Regardless of the specific protocol, organoids with more complex morphology better mimicked in vivo human fetal brain development. Organoids with perturbed tissue architecture displayed aberrant temporal progression, with cells being intermingled in both space and time. Finally, encapsulation to impart a simplified morphology led to disrupted tissue cytoarchitecture and a similar abnormal maturational timing. These data demonstrate that cells of the developing brain require proper spatial coordinates to undergo correct temporal progression.
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Affiliation(s)
- Ilaria Chiaradia
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK
| | | | - Benedikt S Nilges
- Resolve Biosciences GmbH, Alfred-Nobel-Strasse 10, 40789 Monheim am Rhein, Germany
| | - Jerome Boulanger
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK
| | - Laura Pellegrini
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK
| | - Richa Das
- Resolve Biosciences GmbH, Alfred-Nobel-Strasse 10, 40789 Monheim am Rhein, Germany
| | - Nachiket D Kashikar
- Resolve Biosciences GmbH, Alfred-Nobel-Strasse 10, 40789 Monheim am Rhein, Germany
| | - Madeline A Lancaster
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK; Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
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Rao SB, Brundu F, Chen Y, Sun Y, Zhu H, Shprintzen RJ, Tomer R, Rabadan R, Leong KW, Markx S, Xu B, Gogos JA. Aberrant pace of cortical neuron development in brain organoids from patients with 22q11.2 deletion syndrome and schizophrenia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.04.557612. [PMID: 37873382 PMCID: PMC10592956 DOI: 10.1101/2023.10.04.557612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Adults and children afflicted with the 22q11.2 deletion syndrome (22q11.2DS) exhibit cognitive, social, and emotional impairments, and are at significantly heightened risk for schizophrenia (SCZ). The impact of this deletion on early human brain development, however, has remained unclear. Here we harness organoid models of the developing human cerebral cortex, cultivated from subjects with 22q11.2DS and SCZ, as well as unaffected control samples, to identify cell-type-specific developmental abnormalities arising from this genomic lesion. Leveraging single-cell RNA-sequencing in conjunction with experimental validation, we find that the loss of genes within the 22q11.2 locus leads to a delayed development of cortical neurons. This compromised development was reflected in an elevated proportion of actively proliferating neural progenitor cells, coupled with a decreased fraction of more mature neurons. Furthermore, we identify perturbed molecular imprints linked to neuronal maturation, observe the presence of sparser neurites, and note a blunted amplitude in glutamate-induced Ca2+ transients. The aberrant transcription program underlying impaired development contains molecular signatures significantly enriched in neuropsychiatric genetic liability. MicroRNA profiling and target gene investigation suggest that microRNA dysregulation may drive perturbations of genes governing the pace at which maturation unfolds. Using protein-protein interaction network analysis we define complementary effects stemming from additional genes residing within the deleted locus. Our study uncovers reproducible neurodevelopmental and molecular alterations due to 22q11.2 deletions. These findings have the potential to facilitate disease modeling and promote the pursuit of therapeutic interventions.
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