1
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Birtele M, Lancaster M, Quadrato G. Modelling human brain development and disease with organoids. Nat Rev Mol Cell Biol 2024:10.1038/s41580-024-00804-1. [PMID: 39668188 DOI: 10.1038/s41580-024-00804-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/28/2024] [Indexed: 12/14/2024]
Abstract
Organoids are systems derived from pluripotent stem cells at the interface between traditional monolayer cultures and in vivo animal models. The structural and functional characteristics of organoids enable the modelling of early stages of brain development in a physiologically relevant 3D environment. Moreover, organoids constitute a tool with which to analyse how individual genetic variation contributes to the susceptibility and progression of neurodevelopmental disorders. This Roadmap article describes the features of brain organoids, focusing on the neocortex, and their advantages and limitations - in comparison with other model systems - for the study of brain development, evolution and disease. We highlight avenues for enhancing the physiological relevance of brain organoids by integrating bioengineering techniques and unbiased high-throughput analyses, and discuss future applications. As organoids advance in mimicking human brain functions, we address the ethical and societal implications of this technology.
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Affiliation(s)
- Marcella Birtele
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research at USC, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Madeline Lancaster
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK.
- Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
| | - Giorgia Quadrato
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
- Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research at USC, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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2
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Xie N, Bai J, Hou Y, Liu J, Zhang Y, Meng X, Wang X. hPSCs-derived brain organoids for disease modeling, toxicity testing and drug evaluation. Exp Neurol 2024; 385:115110. [PMID: 39667657 DOI: 10.1016/j.expneurol.2024.115110] [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: 08/23/2024] [Revised: 12/04/2024] [Accepted: 12/05/2024] [Indexed: 12/14/2024]
Abstract
Due to the differences and variances in genetic background, in vitro and animal models cannot meet the modern medical exploration of real human brain structure and function. Recently, brain organoids generated by human pluripotent stem cells (hPSCs) can mimic the structure and physiological function of human brain, being widely used in medical research. Brain organoids generated from normal hPSCs or patient-derived induced pluripotent stem cells offer a more promising approach for the study of diverse human brain diseases. More importantly, the use of the established brain organoid model for drug evaluation is conducive to shorten the clinical transformation period. Herein, we summarize methods for the identification of brain organoids from cellular diversity, morphology and neuronal activity, brain disease modeling, toxicity testing, and drug evaluation. Based on this, it is hoped that this review will provide new insights into the pathogenesis of brain diseases and drug research and development, promoting the rapid development of brain science.
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Affiliation(s)
- Na Xie
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy/School of Modern Chinese Medicine Industry, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China; Innovative Institute of Chinese Medicine and Pharmacy/Academy for Interdiscipline, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China
| | - Jinrong Bai
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy/School of Modern Chinese Medicine Industry, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China
| | - Ya Hou
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
| | - Jia Liu
- Ethnic Medicine Academic Heritage Innovation Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China
| | - Yi Zhang
- Ethnic Medicine Academic Heritage Innovation Research Center, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China
| | - Xianli Meng
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy/School of Modern Chinese Medicine Industry, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China; Innovative Institute of Chinese Medicine and Pharmacy/Academy for Interdiscipline, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China; TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China.
| | - Xiaobo Wang
- Innovative Institute of Chinese Medicine and Pharmacy/Academy for Interdiscipline, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China.
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3
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Lei T, Zhang X, Fu G, Luo S, Zhao Z, Deng S, Li C, Cui Z, Cao J, Chen P, Yang H. Advances in human cellular mechanistic understanding and drug discovery of brain organoids for neurodegenerative diseases. Ageing Res Rev 2024; 102:102517. [PMID: 39321879 DOI: 10.1016/j.arr.2024.102517] [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: 03/13/2024] [Accepted: 09/19/2024] [Indexed: 09/27/2024]
Abstract
The prevalence of neurodegenerative diseases (NDs) is increasing rapidly as the aging population accelerates, and there are still no treatments to halt or reverse the progression of these diseases. While traditional 2D cultures and animal models fail to translate into effective therapies benefit patients, 3D cultured human brain organoids (hBOs) facilitate the use of non-invasive methods to capture patient data. The purpose of this study was to review the research and application of hBO in disease models and drug screening in NDs. The pluripotent stem cells are induced in multiple stages to form cerebral organoids, brain region-specific organoids and their derived brain cells, which exhibit complex brain-like structures and perform electrophysiological activities. The brain region-specific organoids and their derived neurons or glial cells contribute to the understanding of the pathogenesis of NDs and the efficient development of drugs, including Alzheimer's disease, Parkinson's disease, Huntington's disease and Amyotrophic lateral sclerosis. Glial-rich brain organoids facilitate the study of glial function and neuroinflammation, including astrocytes, microglia, and oligodendrocytes. Further research on the maturation enhancement, vascularization and multi-organoid assembly of hBO will help to enhance the research and application of NDs cellular models.
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Affiliation(s)
- Tong Lei
- Department of Disease and Syndromes Research, Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
| | - Xiaoshuang Zhang
- Shanghai Institute of Precision Medicine, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
| | - Gaoshuang Fu
- Department of Disease and Syndromes Research, Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Shaohan Luo
- Department of Disease and Syndromes Research, Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Ziwei Zhao
- Department of Disease and Syndromes Research, Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Shiwen Deng
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Caifeng Li
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Zhao Cui
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Junxian Cao
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Peng Chen
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China; Hunan Provincial Key Laboratory of Complex Effects Analysis for Chinese Patent Medicine, Yongzhou, Hunan Province 425199, China.
| | - Hongjun Yang
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China; Hunan Provincial Key Laboratory of Complex Effects Analysis for Chinese Patent Medicine, Yongzhou, Hunan Province 425199, China.
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4
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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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5
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Bellotti C, Samudyata S, Thams S, Sellgren CM, Rostami E. Organoids and chimeras: the hopeful fusion transforming traumatic brain injury research. Acta Neuropathol Commun 2024; 12:141. [PMID: 39215375 PMCID: PMC11363608 DOI: 10.1186/s40478-024-01845-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 07/10/2024] [Indexed: 09/04/2024] Open
Abstract
Research in the field of traumatic brain injury has until now heavily relied on the use of animal models to identify potential therapeutic approaches. However, a long series of failed clinical trials has brought many scientists to question the translational reliability of pre-clinical results obtained in animals. The search for an alternative to conventional models that better replicate human pathology in traumatic brain injury is thus of the utmost importance for the field. Recently, orthotopic xenotransplantation of human brain organoids into living animal models has been achieved. This review summarizes the existing literature on this new method, focusing on its potential applications in preclinical research, both in the context of cell replacement therapy and disease modelling. Given the obvious advantages of this approach to study human pathologies in an in vivo context, we here critically review its current limitations while considering its possible applications in traumatic brain injury research.
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Affiliation(s)
- Cristina Bellotti
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Samudyata Samudyata
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Sebastian Thams
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Carl M Sellgren
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Stockholm Health Care Services, Karolinska Institutet, and Stockholm Health Care Services, Stockholm, Sweden
| | - Elham Rostami
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
- Department of Medical Sciences, Section of Neurosurgery, Uppsala University, Uppsala, Sweden.
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6
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Sandoval SO, Méndez-Albelo NM, Xu Z, Zhao X. From wings to whiskers to stem cells: why every model matters in fragile X syndrome research. J Neurodev Disord 2024; 16:30. [PMID: 38872088 PMCID: PMC11177515 DOI: 10.1186/s11689-024-09545-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 05/21/2024] [Indexed: 06/15/2024] Open
Abstract
Fragile X syndrome (FXS) is caused by epigenetic silencing of the X-linked fragile X messenger ribonucleoprotein 1 (FMR1) gene located on chromosome Xq27.3, which leads to the loss of its protein product, fragile X messenger ribonucleoprotein (FMRP). It is the most prevalent inherited form of intellectual disability and the highest single genetic cause of autism. Since the discovery of the genetic basis of FXS, extensive studies using animal models and human pluripotent stem cells have unveiled the functions of FMRP and mechanisms underlying FXS. However, clinical trials have not yielded successful treatment. Here we review what we have learned from commonly used models for FXS, potential limitations of these models, and recommendations for future steps.
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Affiliation(s)
- Soraya O Sandoval
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Natasha M Méndez-Albelo
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Molecular Cellular Pharmacology Training Program, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Zhiyan Xu
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Graduate Program in Cell and Molecular Biology, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Xinyu Zhao
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA.
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA.
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7
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Birnbaum R, Weinberger DR. The Genesis of Schizophrenia: An Origin Story. Am J Psychiatry 2024; 181:482-492. [PMID: 38822584 DOI: 10.1176/appi.ajp.20240305] [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] [Indexed: 06/03/2024]
Abstract
Schizophrenia is routinely referred to as a neurodevelopmental disorder, but the role of brain development in a disorder typically diagnosed during early adult life is enigmatic. The authors revisit the neurodevelopmental model of schizophrenia with genomic insights from the most recent schizophrenia clinical genetic association studies, transcriptomic and epigenomic analyses from human postmortem brain studies, and analyses from cellular models that recapitulate neurodevelopment. Emerging insights into schizophrenia genetic risk continue to converge on brain development, particularly stages of early brain development, that may be perturbed to deviate from a typical, normative course, resulting in schizophrenia clinical symptomatology. As the authors explicate, schizophrenia genetic risk is likely dynamic and context dependent, with effects of genetic risk varying spatiotemporally, across the neurodevelopmental continuum. Optimizing therapeutic strategies for the heterogeneous collective of individuals with schizophrenia may likely be guided by leveraging markers of genetic risk and derivative functional insights, well before the emergence of psychosis. Ultimately, rather than a focus on therapeutic intervention during adolescence or adulthood, principles of prediction and prophylaxis in the pre- and perinatal and neonatal stages may best comport with the biology of schizophrenia to address the early-stage perturbations that alter the normative neurodevelopmental trajectory.
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Affiliation(s)
- Rebecca Birnbaum
- Departments of Psychiatry, Genetics, and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York (Birnbaum); Lieber Institute of Brain Development, Maltz Research Laboratory, and Departments of Psychiatry, Neurology, Neuroscience, and Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore (Weinberger)
| | - Daniel R Weinberger
- Departments of Psychiatry, Genetics, and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York (Birnbaum); Lieber Institute of Brain Development, Maltz Research Laboratory, and Departments of Psychiatry, Neurology, Neuroscience, and Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore (Weinberger)
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8
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Hossain MK, Kim HR, Chae HJ. Aging phenotype in AD brain organoids: Track to success and challenges. Ageing Res Rev 2024; 96:102256. [PMID: 38460555 DOI: 10.1016/j.arr.2024.102256] [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: 10/01/2023] [Revised: 02/19/2024] [Accepted: 02/27/2024] [Indexed: 03/11/2024]
Abstract
Alzheimer's disease (AD) poses a complex challenge, with abnormal protein accumulation in the brain causing memory loss and cognitive decline. Traditional models fall short in AD research, prompting interest in 3D brain organoids (BOs) from human stem cells. These findings hold promise for unveiling the mechanisms of AD, especially in relation to aging. However, an understanding of the aging impact of AD remains elusive. BOs offer insight but face challenges. This review delves into the role of BOs in deciphering aging-related AD and acknowledges limitations. Strategies to enhance BOs for accurate aging modeling in AD brains are suggested. Strengthened by molecular advancements, BOs have the potential to uncover the aging phenotype, advancing AD research.
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Affiliation(s)
| | - Hyung-Ryong Kim
- Department of Pharmacology, College of Dentistry, Jeonbuk National University, Jeonju 54896, Republic of Korea.
| | - Han Jung Chae
- School of Pharmacy, Jeonbuk National University, Jeonju 54896, Republic of Korea.
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9
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Reynolds DE, Sun Y, Wang X, Vallapureddy P, Lim J, Pan M, Fernandez Del Castillo A, Carlson JCT, Sellmyer MA, Nasrallah M, Binder Z, O'Rourke DM, Ming G, Song H, Ko J. Live Organoid Cyclic Imaging. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2309289. [PMID: 38326078 PMCID: PMC11005682 DOI: 10.1002/advs.202309289] [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: 11/30/2023] [Revised: 01/07/2024] [Indexed: 02/09/2024]
Abstract
Organoids are becoming increasingly relevant in biology and medicine for their physiological complexity and accuracy in modeling human disease. To fully assess their biological profile while preserving their spatial information, spatiotemporal imaging tools are warranted. While previously developed imaging techniques, such as four-dimensional (4D) live imaging and light-sheet imaging have yielded important clinical insights, these technologies lack the combination of cyclic and multiplexed analysis. To address these challenges, bioorthogonal click chemistry is applied to display the first demonstration of multiplexed cyclic imaging of live and fixed patient-derived glioblastoma tumor organoids. This technology exploits bioorthogonal click chemistry to quench fluorescent signals from the surface and intracellular of labeled cells across multiple cycles, allowing for more accurate and efficient molecular profiling of their complex phenotypes. Herein, the versatility of this technology is demonstrated for the screening of glioblastoma markers in patient-derived human glioblastoma organoids while conserving their viability. It is anticipated that the findings and applications of this work can be broadly translated into investigating physiological developments in other organoid systems.
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Affiliation(s)
- David E. Reynolds
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Yusha Sun
- Department of NeuroscienceMahoney Institute for NeurosciencesPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Xin Wang
- Department of NeuroscienceMahoney Institute for NeurosciencesPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Phoebe Vallapureddy
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Jianhua Lim
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Menghan Pan
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Andres Fernandez Del Castillo
- Department of Biochemistry & Molecular BiophysicsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Jonathan C. T. Carlson
- Center for Systems BiologyMassachusetts General HospitalBostonMA02114USA
- Department of MedicineMassachusetts General HospitalHarvard Medical SchoolBostonMA02114USA
| | - Mark A. Sellmyer
- Department of RadiologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - MacLean Nasrallah
- GBM Translational Center of ExcellenceAbramson Cancer CenterUniversity of PennsylvaniaPhiladelphiaPA19104USA
- Department of Pathology and Laboratory MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Zev Binder
- GBM Translational Center of ExcellenceAbramson Cancer CenterUniversity of PennsylvaniaPhiladelphiaPA19104USA
- Center for Cellular ImmunotherapiesUniversity of PennsylvaniaPhiladelphiaPA19104USA
- Department of NeurosurgeryPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Donald M. O'Rourke
- GBM Translational Center of ExcellenceAbramson Cancer CenterUniversity of PennsylvaniaPhiladelphiaPA19104USA
- Center for Cellular ImmunotherapiesUniversity of PennsylvaniaPhiladelphiaPA19104USA
- Department of NeurosurgeryPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Guo‐li Ming
- Department of NeuroscienceMahoney Institute for NeurosciencesPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
- Department of Cell and Developmental BiologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
- Department of PsychiatryPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
- Institute for Regenerative MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Hongjun Song
- Department of NeuroscienceMahoney Institute for NeurosciencesPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
- GBM Translational Center of ExcellenceAbramson Cancer CenterUniversity of PennsylvaniaPhiladelphiaPA19104USA
- Department of Cell and Developmental BiologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
- Department of PsychiatryPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
- The Epigenetics InstitutePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
| | - Jina Ko
- Department of BioengineeringUniversity of PennsylvaniaPhiladelphiaPA19104USA
- Department of Pathology and Laboratory MedicineUniversity of PennsylvaniaPhiladelphiaPA19104USA
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10
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Abstract
Brain development in humans is achieved through precise spatiotemporal genetic control, the mechanisms of which remain largely elusive. Recently, integration of technological advances in human stem cell-based modelling with genome editing has emerged as a powerful platform to establish causative links between genotypes and phenotypes directly in the human system. Here, we review our current knowledge of complex genetic regulation of each key step of human brain development through the lens of evolutionary specialization and neurodevelopmental disorders and highlight the use of human stem cell-derived 2D cultures and 3D brain organoids to investigate human-enriched features and disease mechanisms. We also discuss opportunities and challenges of integrating new technologies to reveal the genetic architecture of human brain development and disorders.
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Affiliation(s)
- Yi Zhou
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hongjun Song
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA, USA
- The Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Guo-Li Ming
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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11
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Kumar A, Stertz L, Teixeira AL. Induce Pluripotent Stem Cells (iPSC) Technology in Depression. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1456:85-91. [PMID: 39261425 DOI: 10.1007/978-981-97-4402-2_5] [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: 09/13/2024]
Abstract
Induced pluripotent stem cells (iPSCs) are a promising in vitro model for drug-screening and precision-based psychiatry for the treatment of major depressive disorders (MDD). In this chapter, we explore different uses for iPSC technology, three-dimensional (3D) organoids models, and mesenchymal stem cells therapy in MDD, as well their potential and limitations.
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Affiliation(s)
- Apurva Kumar
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Laura Stertz
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Antonio L Teixeira
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA.
- Biggs Institute, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
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12
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Murlanova K, Pletnikov MV. Modeling psychotic disorders: Environment x environment interaction. Neurosci Biobehav Rev 2023; 152:105310. [PMID: 37437753 DOI: 10.1016/j.neubiorev.2023.105310] [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: 12/14/2022] [Revised: 06/26/2023] [Accepted: 07/05/2023] [Indexed: 07/14/2023]
Abstract
Schizophrenia is a major psychotic disorder with multifactorial etiology that includes interactions between genetic vulnerability and environmental risk factors. In addition, interplay of multiple environmental adversities affects neurodevelopment and may increase the individual risk of developing schizophrenia. Consistent with the two-hit hypothesis of schizophrenia, we review rodent models that combine maternal immune activation as the first hit with other adverse environmental exposures as the second hit. We discuss the strengths and pitfalls of the current animal models of environment x environment interplay and propose some future directions to advance the field.
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Affiliation(s)
- Kateryna Murlanova
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14203, USA
| | - Mikhail V Pletnikov
- Department of Physiology and Biophysics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14203, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
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13
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Villanueva R. Advances in the knowledge and therapeutics of schizophrenia, major depression disorder, and bipolar disorder from human brain organoid research. Front Psychiatry 2023; 14:1178494. [PMID: 37502814 PMCID: PMC10368988 DOI: 10.3389/fpsyt.2023.1178494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 06/28/2023] [Indexed: 07/29/2023] Open
Abstract
Tridimensional cultures of human induced pluripotent cells (iPSCs) experimentally directed to neural differentiation, termed "brain organoids" are now employed as an in vitro assay that recapitulates early developmental stages of nervous tissue differentiation. Technical progress in culture methodology enabled the generation of regionally specialized organoids with structural and neurochemical characters of distinct encephalic regions. The technical process of organoid elaboration is undergoing progressively implementation, but current robustness of the assay has attracted the attention of psychiatric research to substitute/complement animal experimentation for analyzing the pathophysiology of psychiatric disorders. Numerous morphological, structural, molecular and functional insights of psychiatric disorders have been uncovered by comparing brain organoids made with iPSCs obtained from control healthy subjects and psychiatric patients. Brain organoids were also employed for analyzing the response to conventional treatments, to search for new drugs, and to anticipate the therapeutic response of individual patients in a personalized manner. In this review, we gather data obtained by studying cerebral organoids made from iPSCs of patients of the three most frequent serious psychiatric disorders: schizophrenia, major depression disorder, and bipolar disorder. Among the data obtained in these studies, we emphasize: (i) that the origin of these pathologies takes place in the stages of embryonic development; (ii) the existence of shared molecular pathogenic aspects among patients of the three distinct disorders; (iii) the occurrence of molecular differences between patients bearing the same disorder, and (iv) that functional alterations can be activated or aggravated by environmental signals in patients bearing genetic risk for these disorders.
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Affiliation(s)
- Rosa Villanueva
- Departamento de Psiquiatría y Salud Mental, Hospital Universitario La Paz, La Paz, Madrid, Spain
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Bertucci T, Bowles KR, Lotz S, Qi L, Stevens K, Goderie SK, Borden S, Oja LM, Lane K, Lotz R, Lotz H, Chowdhury R, Joy S, Arduini BL, Butler DC, Miller M, Baron H, Sandhof CA, Silva MC, Haggarty SJ, Karch CM, Geschwind DH, Goate AM, Temple S. Improved Protocol for Reproducible Human Cortical Organoids Reveals Early Alterations in Metabolism with MAPT Mutations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.11.548571. [PMID: 37503195 PMCID: PMC10369860 DOI: 10.1101/2023.07.11.548571] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Cerebral cortical-enriched organoids derived from human pluripotent stem cells (hPSCs) are valuable models for studying neurodevelopment, disease mechanisms, and therapeutic development. However, recognized limitations include the high variability of organoids across hPSC donor lines and experimental replicates. We report a 96-slitwell method for efficient, scalable, reproducible cortical organoid production. When hPSCs were cultured with controlled-release FGF2 and an SB431542 concentration appropriate for their TGFBR1 / ALK5 expression level, organoid cortical patterning and reproducibility were significantly improved. Well-patterned organoids included 16 neuronal and glial subtypes by single cell RNA sequencing (scRNA-seq), frequent neural progenitor rosettes and robust BCL11B+ and TBR1+ deep layer cortical neurons at 2 months by immunohistochemistry. In contrast, poorly-patterned organoids contain mesendoderm-related cells, identifiable by negative QC markers including COL1A2 . Using this improved protocol, we demonstrate increased sensitivity to study the impact of different MAPT mutations from patients with frontotemporal dementia (FTD), revealing early changes in key metabolic pathways.
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15
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Wang X, Sun Y, Zhang DY, Ming GL, Song H. Glioblastoma modeling with 3D organoids: progress and challenges. OXFORD OPEN NEUROSCIENCE 2023; 2:kvad008. [PMID: 38596241 PMCID: PMC10913843 DOI: 10.1093/oons/kvad008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Glioblastoma (GBM) is the most aggressive adult primary brain tumor with nearly universal treatment resistance and recurrence. The mainstay of therapy remains maximal safe surgical resection followed by concurrent radiation therapy and temozolomide chemotherapy. Despite intensive investigation, alternative treatment options, such as immunotherapy or targeted molecular therapy, have yielded limited success to achieve long-term remission. This difficulty is partly due to the lack of pre-clinical models that fully recapitulate the intratumoral and intertumoral heterogeneity of GBM and the complex tumor microenvironment. Recently, GBM 3D organoids originating from resected patient tumors, genetic manipulation of induced pluripotent stem cell (iPSC)-derived brain organoids and bio-printing or fusion with non-malignant tissues have emerged as novel culture systems to portray the biology of GBM. Here, we highlight several methodologies for generating GBM organoids and discuss insights gained using such organoid models compared to classic modeling approaches using cell lines and xenografts. We also outline limitations of current GBM 3D organoids, most notably the difficulty retaining the tumor microenvironment, and discuss current efforts for improvements. Finally, we propose potential applications of organoid models for a deeper mechanistic understanding of GBM and therapeutic development.
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Affiliation(s)
- Xin Wang
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yusha Sun
- Neuroscience Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Daniel Y Zhang
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Guo-li Ming
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hongjun Song
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- The Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- GBM Translational Center of Excellence, Abramson Cancer Center, University of Pennsylvania Philadelphia, PA 19104, USA
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16
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Arlotta P, Gage FH. Neural Organoids and the Quest to Understand and Treat Psychiatric Disease. Biol Psychiatry 2023; 93:588-589. [PMID: 36889858 DOI: 10.1016/j.biopsych.2023.01.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 03/10/2023]
Affiliation(s)
- Paola Arlotta
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts.
| | - Fred H Gage
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, California.
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