1
|
Nie L, Irwin C, Geahchan S, Singh KK. Human pluripotent stem cell (hPSC)-derived models for autism spectrum disorder drug discovery. Expert Opin Drug Discov 2024:1-19. [PMID: 39718245 DOI: 10.1080/17460441.2024.2416484] [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: 08/02/2024] [Accepted: 10/10/2024] [Indexed: 12/25/2024]
Abstract
INTRODUCTION Autism spectrum disorder (ASD) is a prevalent and complex neurodevelopmental disorder (NDD) with genetic and environmental origins. Currently, there are no effective pharmacological treatments targeting core ASD features. This leads to unmet medical needs of individuals with ASD and requires relevant human disease models recapitulating genetic and clinical heterogeneity to better understand underlying mechanisms and identify potential pharmacological therapies. Recent advancements in stem cell technology have enabled the generation of human pluripotent stem cell (hPSC)-derived two-dimensional (2D) and three-dimensional (3D) neural models, which serve as powerful tools for ASD modeling and drug discovery. AREAS COVERED This article reviews the applications of hPSC-derived 2D and 3D neural models in studying various forms of ASD using pharmacological perturbation and drug screenings, highlighting the potential use of these models to develop novel pharmacological treatment strategies for ASD. EXPERT OPINION hPSC-derived models recapitulate early human brain development spatiotemporally and have allowed patient-specific mechanistic investigation and therapeutic development using advanced molecular technologies, which will contribute to precision medicine for ASD therapy. Improvements are still required in hPSC-based models to further enhance their physiological relevance, clinical translation, and scalability for ASD drug discovery.
Collapse
Affiliation(s)
- Lingdi Nie
- Donald K. Johnson Eye Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada
| | - Courtney Irwin
- Donald K. Johnson Eye Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Sarah Geahchan
- Donald K. Johnson Eye Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Karun K Singh
- Donald K. Johnson Eye Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
2
|
Oliva MK, Bourke J, Kornienko D, Mattei C, Mao M, Kuanyshbek A, Ovchinnikov D, Bryson A, Karle TJ, Maljevic S, Petrou S. Standardizing a method for functional assessment of neural networks in brain organoids. J Neurosci Methods 2024; 409:110178. [PMID: 38825241 DOI: 10.1016/j.jneumeth.2024.110178] [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: 02/15/2024] [Revised: 04/05/2024] [Accepted: 05/22/2024] [Indexed: 06/04/2024]
Abstract
During the last decade brain organoids have emerged as an attractive model system, allowing stem cells to be differentiated into complex 3D models, recapitulating many aspects of human brain development. Whilst many studies have analysed anatomical and cytoarchitectural characteristics of organoids, their functional characterisation has been limited, and highly variable between studies. Standardised, consistent methods for recording functional activity are critical to providing a functional understanding of neuronal networks at the synaptic and network level that can yield useful information about functional network phenotypes in disease and healthy states. In this study we outline a detailed methodology for calcium imaging and Multi-Electrode Array (MEA) recordings in brain organoids. To illustrate the utility of these functional interrogation techniques in uncovering induced differences in neural network activity we applied various stimulating media protocols. We demonstrate overlapping information from the two modalities, with comparable numbers of active cells in the four treatment groups and an increase in synchronous behaviour in BrainPhys treated groups. Further development of analysis pipelines to reveal network level changes in brain organoids will enrich our understanding of network formation and perturbation in these structures, and aid in the future development of drugs that target neurological disorders at the network level.
Collapse
Affiliation(s)
- M K Oliva
- Ion Channels and Diseases Group, The Florey, The University of Melbourne, Parkville, VIC 3052, Australia.
| | - J Bourke
- Ion Channels and Diseases Group, The Florey, The University of Melbourne, Parkville, VIC 3052, Australia
| | - D Kornienko
- Ion Channels and Diseases Group, The Florey, The University of Melbourne, Parkville, VIC 3052, Australia
| | - C Mattei
- Ion Channels and Diseases Group, The Florey, The University of Melbourne, Parkville, VIC 3052, Australia
| | - M Mao
- Ion Channels and Diseases Group, The Florey, The University of Melbourne, Parkville, VIC 3052, Australia
| | - A Kuanyshbek
- Ion Channels and Diseases Group, The Florey, The University of Melbourne, Parkville, VIC 3052, Australia
| | - D Ovchinnikov
- Ion Channels and Diseases Group, The Florey, The University of Melbourne, Parkville, VIC 3052, Australia
| | - A Bryson
- Ion Channels and Diseases Group, The Florey, The University of Melbourne, Parkville, VIC 3052, Australia
| | - T J Karle
- Ion Channels and Diseases Group, The Florey, The University of Melbourne, Parkville, VIC 3052, Australia
| | - S Maljevic
- Ion Channels and Diseases Group, The Florey, The University of Melbourne, Parkville, VIC 3052, Australia
| | - S Petrou
- Ion Channels and Diseases Group, The Florey, The University of Melbourne, Parkville, VIC 3052, Australia; Praxis Precision Medicines, Inc., Cambridge, MA 02142, USA
| |
Collapse
|
3
|
Li Y, Zeng PM, Wu J, Luo ZG. Advances and Applications of Brain Organoids. Neurosci Bull 2023; 39:1703-1716. [PMID: 37222855 PMCID: PMC10603019 DOI: 10.1007/s12264-023-01065-2] [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: 01/18/2023] [Accepted: 04/02/2023] [Indexed: 05/25/2023] Open
Abstract
Understanding the fundamental processes of human brain development and diseases is of great importance for our health. However, existing research models such as non-human primate and mouse models remain limited due to their developmental discrepancies compared with humans. Over the past years, an emerging model, the "brain organoid" integrated from human pluripotent stem cells, has been developed to mimic developmental processes of the human brain and disease-associated phenotypes to some extent, making it possible to better understand the complex structures and functions of the human brain. In this review, we summarize recent advances in brain organoid technologies and their applications in brain development and diseases, including neurodevelopmental, neurodegenerative, psychiatric diseases, and brain tumors. Finally, we also discuss current limitations and the potential of brain organoids.
Collapse
Affiliation(s)
- Yang Li
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Peng-Ming Zeng
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Jian Wu
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Zhen-Ge Luo
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| |
Collapse
|
4
|
Camões dos Santos J, Appleton C, Cazaux Mateus F, Covas R, Bekman EP, da Rocha ST. Stem cell models of Angelman syndrome. Front Cell Dev Biol 2023; 11:1274040. [PMID: 37928900 PMCID: PMC10620611 DOI: 10.3389/fcell.2023.1274040] [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: 08/07/2023] [Accepted: 10/02/2023] [Indexed: 11/07/2023] Open
Abstract
Angelman syndrome (AS) is an imprinted neurodevelopmental disorder that lacks a cure, characterized by developmental delay, intellectual impairment, seizures, ataxia, and paroxysmal laughter. The condition arises due to the loss of the maternally inherited copy of the UBE3A gene in neurons. The paternally inherited UBE3A allele is unable to compensate because it is silenced by the expression of an antisense transcript (UBE3A-ATS) on the paternal chromosome. UBE3A, encoding enigmatic E3 ubiquitin ligase variants, regulates target proteins by either modifying their properties/functions or leading them to degradation through the proteasome. Over time, animal models, particularly the Ube3a mat-/pat+ Knock-Out (KO) mice, have significantly contributed to our understanding of the molecular mechanisms underlying AS. However, a shift toward human pluripotent stem cell models (PSCs), such as human embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs), has gained momentum. These stem cell models accurately capture human genetic and cellular characteristics, offering an alternative or a complement to animal experimentation. Human stem cells possess the remarkable ability to recapitulate neurogenesis and generate "brain-in-a-dish" models, making them valuable tools for studying neurodevelopmental disorders like AS. In this review, we provide an overview of the current state-of-the-art human stem cell models of AS and explore their potential to become the preclinical models of choice for drug screening and development, thus propelling AS therapeutic advancements and improving the lives of affected individuals.
Collapse
Affiliation(s)
- João Camões dos Santos
- iBB—Institute for Bioengineering and Biosciences, Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
- Associate Laboratory i4HB Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
| | - Carolina Appleton
- iBB—Institute for Bioengineering and Biosciences, Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
- Associate Laboratory i4HB Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
- Department of Animal Biology, Faculdade de Ciências da Universidade de Lisboa, Lisbon, Portugal
| | - Francisca Cazaux Mateus
- iBB—Institute for Bioengineering and Biosciences, Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
- Associate Laboratory i4HB Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
| | - Rita Covas
- iBB—Institute for Bioengineering and Biosciences, Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
- Associate Laboratory i4HB Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
| | - Evguenia Pavlovna Bekman
- iBB—Institute for Bioengineering and Biosciences, Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
- Associate Laboratory i4HB Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
- The Egas Moniz Center for Interdisciplinary Research (CiiEM), Caparica, Portugal
| | - Simão Teixeira da Rocha
- iBB—Institute for Bioengineering and Biosciences, Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
- Associate Laboratory i4HB Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
| |
Collapse
|
5
|
Rabeling A, Goolam M. Cerebral organoids as an in vitro model to study autism spectrum disorders. Gene Ther 2023; 30:659-669. [PMID: 35790793 DOI: 10.1038/s41434-022-00356-z] [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: 03/03/2022] [Revised: 06/01/2022] [Accepted: 06/23/2022] [Indexed: 11/09/2022]
Abstract
Autism spectrum disorders (ASDs) are a set of disorders characterised by social and communication deficits caused by numerous genetic lesions affecting brain development. Progress in ASD research has been hampered by the lack of appropriate models, as both 2D cell culture as well as animal models cannot fully recapitulate the developing human brain or the pathogenesis of ASD. Recently, cerebral organoids have been developed to provide a more accurate, 3D in vitro model of human brain development. Cerebral organoids have been shown to recapitulate the foetal brain gene expression profile, transcriptome, epigenome, as well as disease dynamics of both idiopathic and syndromic ASDs. They are thus an excellent tool to investigate development of foetal stage ASDs, as well as interventions that can reverse or rescue the altered phenotypes observed. In this review, we discuss the development of cerebral organoids, their recent applications in the study of both syndromic and idiopathic ASDs, their use as an ASD drug development platform, as well as limitations of their use in ASD research.
Collapse
Affiliation(s)
- Alexa Rabeling
- Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa
| | - Mubeen Goolam
- Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa.
- UCT Neuroscience Institute, Cape Town, South Africa.
| |
Collapse
|
6
|
Tam RW, Keung AJ. Profiling transcriptomic responses of human stem cell-derived medium spiny neuron-like cells to exogenous phasic and tonic neurotransmitters. Mol Cell Neurosci 2023; 126:103876. [PMID: 37385515 PMCID: PMC10528483 DOI: 10.1016/j.mcn.2023.103876] [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: 01/17/2023] [Revised: 06/06/2023] [Accepted: 06/24/2023] [Indexed: 07/01/2023] Open
Abstract
Transcriptomic responses to neurotransmitters contribute to the complex processes driving memory and addiction. Advances in both measurement methods and experimental models continue to improve our understanding of this regulatory layer. Here we focus on the experimental potential of stem cell derived neurons, currently the only ethical model that can be used in reductionist and experimentally perturbable studies of human cells. Prior work has focused on generating distinct cell types from human stem cells, and has also shown their utility in modeling development and cellular phenotypes related to neurodegeneration. Here we seek an understanding of how stem cell derived neural cultures respond to perturbations experienced during development and disease progression. This work profiles transcriptomic responses of human medium spiny neuron-like cells with three specific goals. We first characterize transcriptomic responses to dopamine and dopamine receptor agonists and antagonists presented in dosing patterns mimicking acute, chronic, and withdrawal regimens. We also assess transcriptomic responses to low and persistent tonic levels of dopamine, acetylcholine, and glutamate to better mimic the in vivo environment. Finally, we identify similar and distinct responses between hMSN-like cells derived from H9 and H1 stem cell lines, providing some context for the extent of variability these types of systems will likely pose for experimentalists. The results here suggest future optimizations of human stem cell derived neurons to increase their in vivo relevance and the biological insights that can be garnered from these models.
Collapse
Affiliation(s)
- Ryan W Tam
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27606, United States of America
| | - Albert J Keung
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27606, United States of America.
| |
Collapse
|
7
|
Wang SE, Jiang YH. Novel epigenetic molecular therapies for imprinting disorders. Mol Psychiatry 2023; 28:3182-3193. [PMID: 37626134 PMCID: PMC10618104 DOI: 10.1038/s41380-023-02208-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 07/21/2023] [Accepted: 07/27/2023] [Indexed: 08/27/2023]
Abstract
Genomic imprinting disorders are caused by the disruption of genomic imprinting processes leading to a deficit or increase of an active allele. Their unique molecular mechanisms underlying imprinted genes offer an opportunity to investigate epigenetic-based therapy for reactivation of an inactive allele or reduction of an active allele. Current treatments are based on managing symptoms, not targeting the molecular mechanisms underlying imprinting disorders. Here, we highlight molecular approaches of therapeutic candidates in preclinical and clinical studies for individual imprinting disorders. These include the significant progress of discovery and testing of small molecules, antisense oligonucleotides, and CRISPR mediated genome editing approaches as new therapeutic strategies. We discuss the significant challenges of translating these promising therapies from the preclinical stage to the clinic, especially for genome editing based approaches.
Collapse
Affiliation(s)
- Sung Eun Wang
- Department of Genetics, Yale University School of Medicine, 333 Cedar street, New Haven, CT, 06520, USA
| | - Yong-Hui Jiang
- Department of Genetics, Yale University School of Medicine, 333 Cedar street, New Haven, CT, 06520, USA.
- Department of Neuroscience, Yale University School of Medicine, 333 Cedar street, New Haven, CT, 06520, USA.
- Department of Pediatrics, Yale University School of Medicine, 333 Cedar street, New Haven, CT, 06520, USA.
| |
Collapse
|
8
|
Kilpatrick S, Irwin C, Singh KK. Human pluripotent stem cell (hPSC) and organoid models of autism: opportunities and limitations. Transl Psychiatry 2023; 13:217. [PMID: 37344450 PMCID: PMC10284884 DOI: 10.1038/s41398-023-02510-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 05/09/2023] [Accepted: 06/05/2023] [Indexed: 06/23/2023] Open
Abstract
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder caused by genetic or environmental perturbations during early development. Diagnoses are dependent on the identification of behavioral abnormalities that likely emerge well after the disorder is established, leaving critical developmental windows uncharacterized. This is further complicated by the incredible clinical and genetic heterogeneity of the disorder that is not captured in most mammalian models. In recent years, advancements in stem cell technology have created the opportunity to model ASD in a human context through the use of pluripotent stem cells (hPSCs), which can be used to generate 2D cellular models as well as 3D unguided- and region-specific neural organoids. These models produce profoundly intricate systems, capable of modeling the developing brain spatiotemporally to reproduce key developmental milestones throughout early development. When complemented with multi-omics, genome editing, and electrophysiology analysis, they can be used as a powerful tool to profile the neurobiological mechanisms underlying this complex disorder. In this review, we will explore the recent advancements in hPSC-based modeling, discuss present and future applications of the model to ASD research, and finally consider the limitations and future directions within the field to make this system more robust and broadly applicable.
Collapse
Affiliation(s)
- Savannah Kilpatrick
- Donald K. Johnson Eye Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada
- Department of Biochemistry and Biomedical Science, McMaster University, Hamilton, ON, Canada
| | - Courtney Irwin
- Donald K. Johnson Eye Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Karun K Singh
- Donald K. Johnson Eye Institute, Krembil Research Institute, University Health Network, Toronto, ON, Canada.
- Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada.
| |
Collapse
|
9
|
Mulder LA, Depla JA, Sridhar A, Wolthers K, Pajkrt D, Vieira de Sá R. A beginner's guide on the use of brain organoids for neuroscientists: a systematic review. Stem Cell Res Ther 2023; 14:87. [PMID: 37061699 PMCID: PMC10105545 DOI: 10.1186/s13287-023-03302-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 03/27/2023] [Indexed: 04/17/2023] Open
Abstract
BACKGROUND The first human brain organoid protocol was presented in the beginning of the previous decade, and since then, the field witnessed the development of many new brain region-specific models, and subsequent protocol adaptations and modifications. The vast amount of data available on brain organoid technology may be overwhelming for scientists new to the field and consequently decrease its accessibility. Here, we aimed at providing a practical guide for new researchers in the field by systematically reviewing human brain organoid publications. METHODS Articles published between 2010 and 2020 were selected and categorised for brain organoid applications. Those describing neurodevelopmental studies or protocols for novel organoid models were further analysed for culture duration of the brain organoids, protocol comparisons of key aspects of organoid generation, and performed functional characterisation assays. We then summarised the approaches taken for different models and analysed the application of small molecules and growth factors used to achieve organoid regionalisation. Finally, we analysed articles for organoid cell type compositions, the reported time points per cell type, and for immunofluorescence markers used to characterise different cell types. RESULTS Calcium imaging and patch clamp analysis were the most frequently used neuronal activity assays in brain organoids. Neural activity was shown in all analysed models, yet network activity was age, model, and assay dependent. Induction of dorsal forebrain organoids was primarily achieved through combined (dual) SMAD and Wnt signalling inhibition. Ventral forebrain organoid induction was performed with dual SMAD and Wnt signalling inhibition, together with additional activation of the Shh pathway. Cerebral organoids and dorsal forebrain model presented the most cell types between days 35 and 60. At 84 days, dorsal forebrain organoids contain astrocytes and potentially oligodendrocytes. Immunofluorescence analysis showed cell type-specific application of non-exclusive markers for multiple cell types. CONCLUSIONS We provide an easily accessible overview of human brain organoid cultures, which may help those working with brain organoids to define their choice of model, culture time, functional assay, differentiation, and characterisation strategies.
Collapse
Affiliation(s)
- Lance A Mulder
- Department of Paediatric Infectious Diseases, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands.
- Department Medical Microbiology, OrganoVIR Labs, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands.
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands.
| | - Josse A Depla
- Department of Paediatric Infectious Diseases, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
- Department Medical Microbiology, OrganoVIR Labs, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
- uniQure Biopharma B.V., Amsterdam, The Netherlands
| | - Adithya Sridhar
- Department of Paediatric Infectious Diseases, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
- Department Medical Microbiology, OrganoVIR Labs, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Katja Wolthers
- Department Medical Microbiology, OrganoVIR Labs, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Dasja Pajkrt
- Department of Paediatric Infectious Diseases, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
- Department Medical Microbiology, OrganoVIR Labs, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
| | - Renata Vieira de Sá
- Department Medical Microbiology, OrganoVIR Labs, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Institute for Infection and Immunity, Infectious Diseases, Amsterdam, the Netherlands
- uniQure Biopharma B.V., Amsterdam, The Netherlands
| |
Collapse
|
10
|
Wang L, Owusu-Hammond C, Sievert D, Gleeson JG. Stem Cell-Based Organoid Models of Neurodevelopmental Disorders. Biol Psychiatry 2023; 93:622-631. [PMID: 36759260 PMCID: PMC10022535 DOI: 10.1016/j.biopsych.2023.01.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 01/12/2023] [Accepted: 01/19/2023] [Indexed: 01/26/2023]
Abstract
The past decade has seen an explosion in the identification of genetic causes of neurodevelopmental disorders, including Mendelian, de novo, and somatic factors. These discoveries provide opportunities to understand cellular and molecular mechanisms as well as potential gene-gene and gene-environment interactions to support novel therapies. Stem cell-based models, particularly human brain organoids, can capture disease-associated alleles in the context of the human genome, engineered to mirror disease-relevant aspects of cellular complexity and developmental timing. These models have brought key insights into neurodevelopmental disorders as diverse as microcephaly, autism, and focal epilepsy. However, intrinsic organoid-to-organoid variability, low levels of certain brain-resident cell types, and long culture times required to reach maturity can impede progress. Several recent advances incorporate specific morphogen gradients, mixtures of diverse brain cell types, and organoid engraftment into animal models. Together with nonhuman primate organoid comparisons, mechanisms of human neurodevelopmental disorders are emerging.
Collapse
Affiliation(s)
- Lu Wang
- From the Department of Neuroscience, Rady Children's Institute for Genomic Medicine, University of California, San Diego, San Diego, California
| | - Charlotte Owusu-Hammond
- From the Department of Neuroscience, Rady Children's Institute for Genomic Medicine, University of California, San Diego, San Diego, California
| | - David Sievert
- From the Department of Neuroscience, Rady Children's Institute for Genomic Medicine, University of California, San Diego, San Diego, California
| | - Joseph G Gleeson
- From the Department of Neuroscience, Rady Children's Institute for Genomic Medicine, University of California, San Diego, San Diego, California.
| |
Collapse
|
11
|
Tam RW, Keung AJ. Human Pluripotent Stem Cell-Derived Medium Spiny Neuron-like Cells Exhibit Gene Desensitization. Cells 2022; 11:cells11091411. [PMID: 35563715 PMCID: PMC9100557 DOI: 10.3390/cells11091411] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 04/17/2022] [Accepted: 04/20/2022] [Indexed: 02/04/2023] Open
Abstract
Gene desensitization in response to a repeated stimulus is a complex phenotype important across homeostatic and disease processes, including addiction, learning, and memory. These complex phenotypes are being characterized and connected to important physiologically relevant functions in rodent systems but are difficult to capture in human models where even acute responses to important neurotransmitters are understudied. Here through transcriptomic analysis, we map the dynamic responses of human stem cell-derived medium spiny neuron-like cells (hMSN-like cells) to dopamine. Furthermore, we show that these human neurons can reflect and capture cellular desensitization to chronic versus acute administration of dopamine. These human cells are further able to capture complex receptor crosstalk in response to the pharmacological perturbations of distinct dopamine receptor subtypes. This study demonstrates the potential utility and remaining challenges of using human stem cell-derived neurons to capture and study the complex dynamic mechanisms of the brain.
Collapse
|
12
|
Sen D, Voulgaropoulos A, Keung AJ. Effects of early geometric confinement on the transcriptomic profile of human cerebral organoids. BMC Biotechnol 2021; 21:59. [PMID: 34641840 PMCID: PMC8507123 DOI: 10.1186/s12896-021-00718-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 09/28/2021] [Indexed: 12/21/2022] Open
Abstract
Background Human cerebral organoids (hCO) are attractive systems due to their ability to model important brain regions and transcriptomics of early in vivo brain development. To date, they have been used to understand the effects of genetics and soluble factors on neurodevelopment. Interestingly, one of the main advantages of hCOs are that they provide three dimensionality that better mimics the in vivo environment; yet, despite this central feature it remains unclear how spatial and mechanical properties regulate hCO and neurodevelopment. While biophysical factors such as shape and mechanical forces are known to play crucial roles in stem cell differentiation, embryogenesis and neurodevelopment, much of this work investigated two dimensional systems or relied on correlative observations of native developing tissues in three dimensions. Using hCOs to establish links between spatial factors and neurodevelopment will require the use of new approaches and could reveal fundamental principles of brain organogenesis as well as improve hCOs as an experimental model. Results Here, we investigated the effects of early geometric confinements on transcriptomic changes during hCO differentiation. Using a custom and tunable agarose microwell platform we generated embryoid bodies (EB) of diverse shapes mimicking several structures from embryogenesis and neurodevelopment and then further differentiated those EBs to whole brain hCOs. Our results showed that the microwells did not have negative gross impacts on the ability of the hCOs to differentiate towards neural fates, and there were clear shape dependent effects on neural lineage specification. In particular we observed that non-spherical shapes showed signs of altered neurodevelopmental kinetics and favored the development of medial ganglionic eminence-associated brain regions and cell types over cortical regions. Transcriptomic analysis suggests these mechanotransducive effects may be mediated by integrin and Wnt signaling. Conclusions The findings presented here suggest a role for spatial factors in brain region specification during hCO development. Understanding these spatial patterning factors will not only improve understanding of in vivo development and differentiation, but also provide important handles with which to advance and improve control over human model systems for in vitro applications. Supplementary Information The online version contains supplementary material available at 10.1186/s12896-021-00718-2.
Collapse
Affiliation(s)
- Dilara Sen
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Campus Box 7905, Raleigh, NC, 27695-7905, USA
| | - Alexis Voulgaropoulos
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Campus Box 7905, Raleigh, NC, 27695-7905, USA
| | - Albert J Keung
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Campus Box 7905, Raleigh, NC, 27695-7905, USA.
| |
Collapse
|
13
|
Agboola OS, Hu X, Shan Z, Wu Y, Lei L. Brain organoid: a 3D technology for investigating cellular composition and interactions in human neurological development and disease models in vitro. Stem Cell Res Ther 2021; 12:430. [PMID: 34332630 PMCID: PMC8325286 DOI: 10.1186/s13287-021-02369-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 05/03/2021] [Indexed: 01/01/2023] Open
Abstract
Abstract The study of human brain physiology, including cellular interactions in normal and disease conditions, has been a challenge due to its complexity and unavailability. Induced pluripotent stem cell (iPSC) study is indispensable in the study of the pathophysiology of neurological disorders. Nevertheless, monolayer systems lack the cytoarchitecture necessary for cellular interactions and neurological disease modeling. Brain organoids generated from human pluripotent stem cells supply an ideal environment to model both cellular interactions and pathophysiology of the human brain. This review article discusses the composition and interactions among neural lineage and non-central nervous system cell types in brain organoids, current studies, and future perspectives in brain organoid research. Ultimately, the promise of brain organoids is to unveil previously inaccessible features of neurobiology that emerge from complex cellular interactions and to improve our mechanistic understanding of neural development and diseases. Graphical abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s13287-021-02369-8.
Collapse
Affiliation(s)
- Oluwafemi Solomon Agboola
- Department of Histology and Embryology, Basic Medical Science College, Harbin Medical University, 194 Xuefu Rd, Nangang District, Heilongjiang Province, Harbin, 150081, People's Republic of China
| | - Xinglin Hu
- Department of Histology and Embryology, Basic Medical Science College, Harbin Medical University, 194 Xuefu Rd, Nangang District, Heilongjiang Province, Harbin, 150081, People's Republic of China
| | - Zhiyan Shan
- Department of Histology and Embryology, Basic Medical Science College, Harbin Medical University, 194 Xuefu Rd, Nangang District, Heilongjiang Province, Harbin, 150081, People's Republic of China
| | - Yanshuang Wu
- Department of Histology and Embryology, Basic Medical Science College, Harbin Medical University, 194 Xuefu Rd, Nangang District, Heilongjiang Province, Harbin, 150081, People's Republic of China.
| | - Lei Lei
- Department of Histology and Embryology, Basic Medical Science College, Harbin Medical University, 194 Xuefu Rd, Nangang District, Heilongjiang Province, Harbin, 150081, People's Republic of China. .,Key Laboratory of Preservative of Human Genetic Resources and Disease Control in China, Harbin Medical University, Ministry of Education, Harbin, China.
| |
Collapse
|
14
|
Sen D, Drobna Z, Keung AJ. Evaluation of UBE3A antibodies in mice and human cerebral organoids. Sci Rep 2021; 11:6323. [PMID: 33737669 PMCID: PMC7973473 DOI: 10.1038/s41598-021-85923-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 03/08/2021] [Indexed: 11/20/2022] Open
Abstract
UBE3A is an E3 ubiquitin ligase encoded by the neurally imprinted UBE3A gene. The abundance and subcellular distribution of UBE3A has been the topic of many previous studies as its dosage and localization has been linked to neurodevelopmental disorders including Autism, Dup15q syndrome, and Angelman syndrome. While commercially available antibodies have been widely employed to determine UBE3A localization, an extensive analysis and comparison of the performance of different UBE3A antibodies has not been conducted. Here we evaluated the specificities of seven commercial UBE3A antibodies in two of the major experimental models used in UBE3A research, mouse and human pluripotent stem cell-derived neural cells and tissues. We tested these antibodies in their two most common assays, immunofluorescence and western blot. In addition, we also assessed the ability of these antibodies to capture dynamic spatiotemporal changes of UBE3A by utilizing human cerebral organoid models. Our results reveal that among the seven antibodies tested, three antibodies demonstrated substantial nonspecific immunoreactivity. While four antibodies show specific localization patterns in both mouse brain sections and human cerebral organoids, these antibodies varied significantly in background signals and staining patterns in undifferentiated human pluripotent stem cells.
Collapse
Affiliation(s)
- Dilara Sen
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27695-7905, USA
| | - Zuzana Drobna
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27695-7905, USA.,Department of Biological Sciences, North Carolina State University, Raleigh, NC, 27695-7614, USA
| | - Albert J Keung
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27695-7905, USA.
| |
Collapse
|