Abstract
Introduction: With the advancement of pluripotent stem cells (PSCs), several brain regions have been modelled through brain organoids that resemble their in vivo counterparts of the human brain in terms of cellular heterogeneity and gene expression. The models can be used for molecular pathogenesis studies of neurodegenerative diseases and can be combined with many recent technologies such as optogenetics, CRISPR/cas9, patch-clamp, or on-a-chip system to create more precise models of brain development and diseases. Moreover, personalised organoids derived from patient-specific induced pluripotent stem cells (iPSCs) can also be used to develop personalised treatment. This chapter introduces the principles of brain organoid formation and the potential uses of brain organoids for modelling neurodegenerative diseases, drug development, and personalised medicine. Methods: We performed a literature review in PubMed (https://www.pubmed.ncbi.nlm.nih.gov) using the keywords brain organoids; neural differentiation; neurodegeneration; personalised medicine. Conclusions: Personalised brain organoids, which can be derived by several approaches and coupled with genome editing such as CRISPR-Cas9, have proved to be powerful tools for in vitro studies of early human brain development and pathogenesis. Future treatment of incurable neurodegenerative disorders should ideally be tailored to individual patients to obtain optimal efficacy. To this end, using in vitro patient-specific models of neuroectodermal tissues will allow for such customised treatment personalised medicine.
Access provided by Autonomous University of Puebla. Download chapter PDF
Similar content being viewed by others
Keywords
Introduction
The neocortex of the human brain is populated by a great diversity of neuronal cell types. It is responsible for the higher cognitive functions which cannot be found in any other species. Understanding human brain development under normal and disease conditions is a major goal to discover new therapeutic approaches for the nervous system. The use of animal cells/models for neurobiology research is a longstanding practice. However, animal cells/models do not reflect but only share some features of human diseases. Accessibility to human brain tissue is limited due to ethical concerns associated with their origin. The establishment of in vitro cultures of neuronal and immortalised neuroblastoma cells overcomes this limitation. Although both neuronal cell culture systems are regularly used in neurobiology research, the conventional 2D culture systems do not recapitulate the brain microenvironment, complexity of neural tissue, and disease phenotypes such as abnormal protein aggregation. Another limitation is that they contain only one cell type and do not have cell-cell interaction between cell types.
In the pre-organoid era, the ex vivo brain tissue slice culture, known as an organotypic culture, has been used in neurobiology research (Fig. 5.1). Many different brain regions can be sliced and cultured for weeks to months. They have been used as a model to study the brain microenvironment, which resembles in vivo conditions of the precision area of the brain [1]. Unlike neuronal cell culture, organotypic culture maintains cytoarchitecture and the microenvironment of the brain. Therefore, organotypic culture is a functional tool for neurobiology research and drug screening.
On the other hand, neural precursor cells were isolated from various human brain regions, cultured in vitro, and formed free-floating hollow clusters of neural stem/progenitor cells called “neurospheres” [2, 3]. Neurospheres are heterogeneous and comprise several hundred astrocytes, neurons, and neural stem/progenitor cells with specific characteristics based on their region of origin [4]. Neurospheres can be propagated by mechanical chopping or dissociation, overcoming the limitation of organotypic culture. Although neurospheres have been known as a tool to study neurogenesis and model for the early development of the human brain, it has lower complexity and less structural organisation than organoids.
The advanced development of human pluripotent stem cells (PSCs), both embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs), have provided a platform of model systems for understanding human biology, physiology, development, and diseases. Treatment with essential growth factors promotes human PSCs differentiation into specific cell lineage. Many groups have developed neural induction protocols to drive hPSCs to become neural cell types in 2D and 3D cultures. A very early method to generate pre-rosette neural stem cells in neurospheres (termed EZ spheres) has been developed by lifting hPSCs colonies and cultured in a neural stem cell medium with a high concentration of EGF and FGF-2 [5]. The EZ spheres can form neural rosettes and further differentiate into several types of neural lineages. Chandrasekaran and colleagues compared the efficiency to generate neural stem/progenitor cells from hPSCs between 2D induction and 3D induction methods. A higher number of neurons with longer neurites were observed in 3D neural induction, suggesting a superior way to generate forebrain cortical neurons from hPSCs [6].
An organoid refers to 3D suspension culture techniques to generate an organised organ/tissue resembling various in vivo-like cellular architecture features in a dish. Fatehulla and colleagues defined organoid as “an in vitro 3D cellular cluster derived exclusively from primary tissue, embryonic stem cells, or induced pluripotent stem cells, capable of self-renewal and self-organisation, and exhibiting similar organ functionality as the tissue of origin” [7]. Therefore, an organoid is technically different from a neurosphere, which refers to an aggregate of neural derivatives without any cytoarchitecture and morphogenesis found in the brain. By combining PSCs technology and differentiating iPSCs into neuronal cells, an innovational study by Lancaster and colleagues has shown a culture system to generate cerebral cortex-like organoids from human PSCs derived from a patient with microcephaly [8]. Brain organoid or cerebral organoid composed of progenitor, neuronal and glial cells and resemble the human fetal brain [8–10]. Since then, effective protocols for brain organoids cultures have been established. Exogenous cues such as Wingless and Int-1 (WNT) inhibitor and Mothers against decapentaplegic (SMAD) inhibitor were used to mimic the endogenous developing pattern and direct neural induction in a high consistency of brain organoid generation. Although the short-term culture brain organoids reflect the immature state of the brain, neurons in brain organoids begin to mature after 60 days in culture and show spontaneous excitatory post-synaptic currents after 120 days in culture [11, 12].
To date, several brain regions, e.g., thalamus [13], midbrain [9, 14, 15], pituitary gland [16], cerebellum [17, 18], and brainstem [19], have been modelled using brain organoids. As the brain organoids have some main features of the human brain, e.g., cellular distribution and organisation, electrophysiological functions, and neural circuits, they have become a promising tool to explore the mechanisms of nervous system diseases (Fig. 5.2). Brain organoids have been used to model neurodegenerative diseases such as Alzheimer's disease [20, 21] and Parkinson's disease [9, 14, 22], brain tumorigenesis, Zika virus infection to the brain [12, 23] and neurological COVID-19 [24].
Technical Principles of Brain Organoid Formation
As mentioned above, a hallmark of brain organoids that makes them different from neurospheres is forming cytoarchitectures and tissue morphogenesis of the former [25]. This property allows brain organoids to recapitulate region-specific brain architectures. Following a paradigm of directed differentiation, an original approach toward organoid culture was developed by Yoshiki Sasai to derive cortical layers from human PSCs using a three-dimensional system termed the serum-free culture of embryoid body-like quick-aggregation (SFEBq) [26]. Since then, various approaches have been devised to generate brain organoids from PSCs. Fundamentally, we will summarise four technical principles employed for the derivation of brain organoids, including (1) factor-primed, (2) self-patterned, (3) fusion, and (4) co-culture approaches (Fig. 5.3).
Factor-Primed Approach
Brain organoids can be derived by defined factors. To this end, a factor-primed approach, by which defined extrinsic and trophic factors are added into the culture medium, can be adopted to prime human PSCs to differentiate along neuroectodermal lineages. Scaffolds can also be included in the system to instruct cytoarchitectures and morphogenesis. A well-established protocol of the factor-primed approach is serum-free culture of embryoid bodies (SFEBq), which has been utilised to generate forebrain [27–29], midbrain [9], cerebral cortex [30], cerebellum [31, 32], hippocampus [33], neocortex [34] and pituitary [16]. Moreover, this approach has led to a recapitulation of rostral-caudal organogenesis [35]. A key advantage of using the factor-primed approach is relatively more consistent in cellular heterogeneity and a higher degree of differentiation than the self-patterned approach (see below). However, less advanced-stage morphogenesis is a drawback of this approach as opposed to the other methods.
To avoid limited morphogenesis, step-wise protocols for priming PSCs and their progenies with guiding factors have been established, in which a transient induction by extrinsic and trophic factors is employed to derive radial organisation of the cerebral cortex midbrain organoids and hypothalamic organoids [12, 36]. This temporal manipulation of cell signalling allows brain organoids to be further self-instructed upon removing or diluting the signals. Moreover, the biomaterial poly(lactide-co-glycolide) copolymer (PLGA) can be successfully applied for priming cell attachment and hence facilitating morphogenesis of the organoids around the scaffolds [36]. One study has compared PLGA with carbon fibres for the generation of midbrain organoids and found an increase in expression levels of genes specific to dopaminergic neurons from carbon fibre-primed cultures, structurally more stable than PLGA and does not alter the pH of culture environments [37]. In addition, micropatterned arrays made from the organosilicon polydimethylsiloxane have been shown to improve the derivation of forebrain organoids with homogeneous and singular neural rosettes [38].
Self-Patterned Approach
In contrast to the aforementioned factor-primed approaches, self-patterned approaches are organoid derivation techniques utilising the ability of spontaneous differentiation and subsequently spontaneous morphogenesis of PSC aggregates [39, 40]. Hans Clevers pioneered this protocol for the development of intestinal organoids [41]. Later on, cerebral organoids were successfully derived from matrigel-embedded embryoid bodies. A key success of this method came from using a spinning bioreactor to enhance absorption of nutrients and trophic factors and allow the aggregates to develop self-patterned morphogenesis in a free-floating format [8]. Importantly, this technique led to a generation of various cell lineages belonging to the forebrain, midbrain and hindbrain in single organoids, indicating a potential of the self-patterned approach to model diseases of the human brain, which might require a crosstalk mechanism among different brain regions.
Nonetheless, in contrast to the signal-primed approach, two drawbacks of this method are a massive cell death inside the organoids and an inconsistency of cellular heterogeneity in the organoids. To increase nutrient absorption and oxygen diffusion and reduce cell death, a multi-well spinning bioreactor system has been engineered for simultaneous expansion of brain organoids, improving the growth of brain organoids and increasing the efficiency of organoid derivation [12]. Furthermore, to overcome a limited expansion of self-patterned brain organoids, genetic deletion of phosphatase and tensin homolog (PTEN) led to enhanced cell proliferation of ventricular and outer neural progenitors, in agreement with expansion and folding of human cortical organoids [42]. Moreover, Ming and colleagues have recently developed the self-patterned approach by combining the sliced neocortical organoid (SNO) technique to increase the diffusion of nutrients and trophic factors into SNO, leading to higher cell viability and more expansion of the organoids [43].
Fusion Approach
For factor-primed approach and self-patterned approaches, key drawbacks are limited heterogeneity and uncontrolled cellular diversity, respectively. The latter also usually comes with the irreproducibility of tissue morphogenesis. Specifically, an uncontrolled size of brain regions and tissue organisation are hurdles of this approach. Hence, a novel method has been devised to improve brain organoids’ quality in heterogeneity and reproducibility. This is a fusion approach whereby different regions of brain organoids can be fused from individual region-specific brain organoids. Organoids of different brain regions can be fused to generate an expanded architecture, so-called “assembloids”. This approach connects multiple brain regions in vitro for long-range and multi-synaptic interconnection. The fusion approach has been used to study the migration of human GABAergic interneurons and to integrate cortical circuits between neurons from the ventral to the dorsal forebrain [44]. This circuit integration comes from interneurons and glutamatergic neurons, which can be found in a microphysiological niche. The authors also utilised the model to study Timothy syndrome and observed a defective neuronal migration. The migration of GABAergic interneurons from ventral to dorsal forebrain is CXCR4-dependent [45]. A similar study has modelled the development of human medial ganglionic eminence of the ventral brain, which hosts neurogenesis of cortical interneurons. Two different region-specific organoids, medial ganglionic eminence organoids and cortical organoids, were fused to observe the migration and integration of interneurons produced by the former [46]. In addition, a method aiming at the generation of thalamus-cortex assembloids by fusing thalamus-like brain organoids to cortical organoids has also been established. Remarkably, the reciprocal thalamocortical projections between the thalamus and cortex were observed in the fused assembloids [13]. Using the fusion approach, a human multi-synaptic circuit has been recently demonstrated by generating the cerebral cortex or the hindbrain/spinal cord assembled with human skeletal muscle spheroids to generate 3D cortico-motor assembloids [47]. A novel method has been invented for which the midbrain-to-forebrain mesocortical pathway was modelled. This method utilises a hexagonal acoustofluidic device to generate dynamic acoustic fields that can move and fuse one organoid with another in a contact- and label-free manner [48]. Nonetheless, even though the fusion approach offers a path to engineer and expand multi-regional brain organoids with high reproducibility, not all aspects of brain physiology can be implemented, for example, brain-microglia interaction and blood-brain barrier.
Co-culture Approach
A common key limitation in factor-primed, self-patterned, and fusion approaches is that not all cell types present in brain tissues can be obtained from these methods, especially cells belonging to other germ layers such as microglia and endothelial cells. Thus, co-culture protocols have been developed to obtain a complete niche or systems by adding particular cell types into or onto brain organoids.
In order to incorporate microglia into brain organoids, microglia were differentiated from human iPSCs and were tested for their interaction with brain cortical organoids lacking microglia. Upon addition of microglia, by day 3, the cells had migrated into the organoids. The formation of activated microglial clusters was observed when the injury was applied to the organoids [49]. A similar study investigated the role of microglial co-culture in Alzheimer's pathology using brain organoids with Aβ aggregation. The authors found that integrating microglial co-culture can attenuate the accumulation of Aβ plaques [50]. Microglia migrated faster into dorsal organoids than ventral organoids in a comparative study between dorsal and ventral organoids. Immune response upon microglial incorporation was also altered. Specifically, microglia-incorporated dorsal organoids possess higher anti-inflammatory cytokine secretion than ventral organoids, whereas microglia-incorporated ventral organoids express higher TNF-α upon treatment of Aβ42 oligomers [51]. Further, to closely mimic brain microenvironments, Gage and colleagues have successfully transplanted cerebral organoids into adult mouse brains and have established that the engraftment can lead to extensive neuronal differentiation and maturation, gliogenesis, axonal outgrowth, integration of microglia, and vascularisation of endothelial cells [52].
The co-culture approach can benefit from studying the normal physiology and neurological diseases and elucidating tumorigenesis. In one study, cerebral organoids were formed to model gliomagenesis [53]. The cancer cells can infiltrate into and proliferate in the organoids after co-culturing with patient-derived glioma stem cells. Moreover, gap junction mediated-interconnecting microtubes can be observed using two-photon microscopy, facilitating the tumour invasion. In addition, co-culture approaches can offer a means to serially expand brain tumours into subsequent organoids [63] and understand tumour heterogeneity [54].
With all these four techniques for derivation brain organoids, including factor-primed, self-patterned, fusion, and co-culture approaches, fruitful information has been made regarding fundamental neuroscience, developmental biology, tumorigenesis and drug discovery. Hypotheses for specific research purposes will guide which technique should be employed for the generation of brain organoids. Future approaches may combine several of these techniques to better recapitulate the brain's anatomy and physiology.
Brain Organoid and Neurodegeneration
Neurodegenerative diseases, including Alzheimer's diseases (AD), Parkinson's diseases (PD), Amyotrophic lateral sclerosis (ALS), and Huntington's disease, are prevalent in the elderly worldwide. Previously, studies with human brain tissue, cell cultures, and animal models have been used to study the mechanisms of diseases. Human cerebral organoids and several 3D culture systems exhibit key neuropathological features of the diseases and can be used as disease models.
Alzheimer's Disease
Alzheimer's disease is the most common age-related, irreversible, and progressive disease that slowly destroys the brain. Individuals with early AD develop brain grey matter volume loss in many brain regions such as the hippocampus and the basal forebrain. The disease is clinically characterised by cognitive decline, severe memory impairment, and severe enough life-altering. AD. is characterised by the presence of extracellular amyloid beta-protein deposition, so-called amyloid plaque, and intracellular neurofibrillary tangles. Familial AD. (FAD) is caused by variants in the amyloid precursor protein (APP), presenilin-1 (PSEN1), or presenilin-2 (PSEN2). Sequential cleavage of APP by β and γ-secretase results in a production of Aβ peptide, which aggregates into insoluble amyloid plaques. The deposition of amyloid-beta and hyperphosphorylation of tau could be observed in a 3D culture system of human neural stem cells with amyloid precursor protein (APP) and presenilin1 (PSEN1) mutation [20]. Moreover, brain organoids derived from multiple FAD patients induced pluripotent stem cells to develop continuous amyloid deposition and tau hyperphosphorylation in an age-dependent manner [21].
Recently, Cairns and colleagues described a new model of AD. Using HSV-1 infection to a 3D brain model. This model can develop amyloid plaque-like formations, gliosis, neuroinflammation, and decreased functionality [55].
Parkinson's Disease
Parkinson's disease (PD) is the second most common neurogenerative disease after AD. PD is characterised by resting tremor, bradykinesia, rigidity, and postural balance instability. The major cause of clinical symptoms is the degeneration of midbrain dopaminergic neurons. To model PD in brain organoids, midbrain-specific organoids were developed [9, 14]. The midbrain-specific organoids contained functional tyrosine hydroxylase-positive midbrain dopamine neurons (mDAns) after 2 months in culture. These mDAns express midbrain markers, such as FOXA2 or dopamine transporter, and show cytoplasmic neuromelanin accumulation. Patient-specific iPS cells from PD patients could be used to model PD with midbrain-specific organoids. The early reports of PD modelling in midbrain-specific organoids focused on the effects of the LRRK2-G2019S variants. CRISPR-Cas9 has been used to introduce the mutation in control human pluripotent stem cell lines [56] or create isogenic mutation corrected lines from patient-specific cells [22]. Kim and colleagues observed no difference in size between LRRK2-G2019S midbrain-specific organoids compared to control. However, less neurite length of mDAns and lower expression of dopaminergic neuron marker were noted [56]. On the other hand, a smaller number of mDAns and lower complexity of their neurites were observed in the midbrain-specific organoid derived from LRRK2-G2019S mutated patient iPS [22]. Midbrain organoids may also be used to study sporadic forms of PD by exposing the organoids to exogenous stressors, such as MPTP.
Amyotrophic Lateral Sclerosis
Amyotrophic lateral sclerosis (ALS) is a devastating neurogenerative disorder caused by the loss of motor neurons. The most common cause of familial ALS is superoxide dismutase type-1 (SOD1) mutations, resulting in increasing aggregated and soluble misfolded forms of SOD1, leading to the death of motor neurons [57]. Seminary and colleagues generated motor neuron cultures from human iPSC lines carrying mutations in SOD1. Accumulation of insoluble SOD1 can be observed in ALS iPSC-derived motor neurons. However, the heat shock response or stress granule formation in response to protein accumulation cannot be observed [58]. To date, there is no publication using organoids to model ALS. This might be because the motor neurons can be divided into upper motor neurons and lower motor neurons. The upper motor neurons are in the motor cortex, and the lower motor neurons are in the ventral horn of the spinal cord. Therefore, brain organoids cannot mimic the lower motor neurons physiology and environment. Kawada and colleagues developed a protocol to generate a motor nerve organoid from human pluripotent stem cells using a microdevice equipped with a narrow channel to provide a microenvironment for axonal growth. The generated motor nerve organoid mimics the development and dysfunction of a human motor nerve [59]. Later, a protocol to generate a 3D spinal cord organoid from human induced pluripotent was established [60]. Different spinal cell types were observed with this protocol in the spinal cord organoids and patterned along the rostro-caudal axis, mimicking the ventral spinal cord. Fusing the motor cortex brain organoid to the motor nerve organoid or spinal organoid could be a possible model for further ALS study.
Other Applications
Besides, brain organoids and assembloids could serve as an innovative tool to model pathology and study disease mechanisms from a healthy individual and patient nervous system. Brain organoids and assembloids can be combined with many recent technologies such as optogenetics to use light to control neurons, CRISPR/cas9 for genome editing, patch-clamp for electrophysiology study, and on-a-chip system to control continuous perfused cultures to create more precise models of brain development and diseases.
Brain Organoid for Drug Development and Personalised Medicine
For clinical translation, brain organoids can be used to model patient-specific molecular and cellular pathogenesis, thus guiding the most effective treatment for individual patients, a process called personalised medicine. Personalised organoids can be derived from a specific patient. Briefly, the cells would be obtained from the patient, reprogrammed into iPS cells, and grown brain organoids on a large scale. Personalised brain organoids can be used to test the effectiveness of a compound library (new drug development) to find the ones most appropriate for the patient. Recently, Park and colleagues used 1300 cerebral organoids, including CRISPR/Cas9-edited isogenic lines, from 11 AD patients to assess blood-brain barrier-permeable FDA-approved drugs and purposed a strategy for precision medicine by integrating those cerebral organoids and mathematical modelling. Their results demonstrated the possibilities of drug repositioning and simplified the drug approval process in preparation for precision medicine [61]. In addition, since autism spectrum disorder is a polygenic disease, it is difficult to precisely develop a curable treatment for the patients. To overcome this multi-genetic barrier, cerebral organoids made from the patients via iPS reprogramming have been proposed for personalised drug discovery [62]. However, the production scale of the cerebral organoids is a challenge for the high-throughput drug screening. Specifically, most of the established protocols have been developed using 96-well plates. Therefore, the automation system is required to produce cerebral organoids on a large scale, which will eventually accelerate the development of novel personalised therapeutic strategies for brain disorders.
Conclusion
Brain organoid technology is a powerful tool for researchers to study early human brain development and diseases. Four approaches can be considered for generating brain organoids: (1) factor-primed; (2) self-patterned; (3) fusion; (4) co-culture approaches. Pathogenesis of Alzheimer's, Parkinson's, and ALS diseases, among others, have been successfully modelled using brain organoids. When coupled with genome editing tools such as CRISPR/Cas9, patient-specific brain organoids are key for personalised and precision medicine.
Abbreviations
- 2D:
-
2 Dimensions
- 3D:
-
3 Dimensions
- AD:
-
Alzheimer's disease
- ALS:
-
Amyotrophic lateral sclerosis
- APP:
-
Amyloid precursor protein
- Aβ:
-
Amyloid β
- COVID-19:
-
Coronavirus disease of 2019
- CRISPR:
-
Clustered regularly interspaced short palindromic repeats
- EGF:
-
Epidermal growth factor
- ESCs:
-
Embryonic stem cells
- FAD:
-
Familial Alzheimer’s disease
- FGF-2:
-
Fibroblast growth factor-2
- HSV-1:
-
Herpes simplex virus type 1
- iPSCs:
-
Induced pluripotent stem cells
- LRRK2:
-
Leucine-rich repeat kinase 2
- mDAns:
-
Midbrain dopaminergic neurons
- PD:
-
Parkinson’s disease
- PLGA:
-
Poly(lactide-co-glycolide) copolymer
- PSCs:
-
Pluripotent stem cells
- PSEN1:
-
Presenilin-1
- PSEN2:
-
Preselinlin-2
- PTEN:
-
Phosphatase and tensin homolog
- SFEBq:
-
Serum-free culture of embryoid body-like quick-aggregation
- SMAD:
-
Mothers against decapentaplegic
- SNO:
-
Sliced neocortical organoid
- SOD1:
-
Superoxide dismutase type 1
- TNF-α:
-
Tumor necrosis factor-α
- WNT:
-
Wingless and Int-1
References
Misra S, Moro CF, Del Chiaro M, Pouso S, Sebestyen A, Lohr M, Bjornstedt M, Verbeke CS (2019) Ex vivo organotypic culture system of precision-cut slices of human pancreatic ductal adenocarcinoma. Sci Rep 9(1):2133. https://doi.org/10.1038/s41598-019-38603-w
Reynolds BA, Weiss S (1992) Generation of neurons and astrocytes from isolated cells of the adult mammalian central nervous system. Science 255(5052):1707–1710. https://doi.org/10.1126/science.1553558
Ostenfeld T, Joly E, Tai YT, Peters A, Caldwell M, Jauniaux E, Svendsen CN (2002) Regional specification of rodent and human neurospheres. Brain Res Dev Brain Res 134(1–2):43–55. https://doi.org/10.1016/s0165-3806(01)00291-7
Campos LS (2004) Neurospheres: insights into neural stem cell biology. J Neurosci Res 78(6):761–769. https://doi.org/10.1002/jnr.20333
Ebert AD, Shelley BC, Hurley AM, Onorati M, Castiglioni V, Patitucci TN, Svendsen SP, Mattis VB, McGivern JV, Schwab AJ, Sareen D, Kim HW, Cattaneo E, Svendsen CN (2013) EZ spheres: a stable and expandable culture system for the generation of pre-rosette multipotent stem cells from human ESCs and iPSCs. Stem Cell Res 10(3):417–427. https://doi.org/10.1016/j.scr.2013.01.009
Chandrasekaran A, Avci HX, Ochalek A, Rosingh LN, Molnar K, Laszlo L, Bellak T, Teglasi A, Pesti K, Mike A, Phanthong P, Biro O, Hall V, Kitiyanant N, Krause KH, Kobolak J, Dinnyes A (2017) Comparison of 2D and 3D neural induction methods for the generation of neural progenitor cells from human induced pluripotent stem cells. Stem Cell Res 25:139–151. https://doi.org/10.1016/j.scr.2017.10.010
Fatehullah A, Tan SH, Barker N (2016) Organoids as an in vitro model of human development and disease. Nat Cell Biol 18(3):246–254. https://doi.org/10.1038/ncb3312
Lancaster MA, Renner M, Martin CA, Wenzel D, Bicknell LS, Hurles ME, Homfray T, Penninger JM, Jackson AP, Knoblich JA (2013) Cerebral organoids model human brain development and microcephaly. Nature 501(7467):373–379. https://doi.org/10.1038/nature12517
Jo J, Xiao Y, Sun AX, Cukuroglu E, Tran HD, Goke J, Tan ZY, Saw TY, Tan CP, Lokman H, Lee Y, Kim D, Ko HS, Kim SO, Park JH, Cho NJ, Hyde TM, Kleinman JE, Shin JH, Weinberger DR, Tan EK, Je HS, Ng HH (2016) Midbrain-like organoids from human pluripotent stem cells contain functional dopaminergic and neuromelanin-producing neurons. Cell Stem Cell 19(2):248–257. https://doi.org/10.1016/j.stem.2016.07.005
Pasca AM, Sloan SA, Clarke LE, Tian Y, Makinson CD, Huber N, Kim CH, Park JY, O’Rourke NA, Nguyen KD, Smith SJ, Huguenard JR, Geschwind DH, Barres BA, Pasca SP (2015) Functional cortical neurons and astrocytes from human pluripotent stem cells in 3D culture. Nat Meth 12(7):671–678. https://doi.org/10.1038/nmeth.3415
Li R, Sun L, Fang A, Li P, Wu Q, Wang X (2017) Recapitulating cortical development with organoid culture in vitro and modeling abnormal spindle-like (ASPM related primary) microcephaly disease. Protein Cell 8(11):823–833. https://doi.org/10.1007/s13238-017-0479-2
Qian X, Nguyen HN, Song MM, Hadiono C, Ogden SC, Hammack C, Yao B, Hamersky GR, Jacob F, Zhong C, Yoon KJ, Jeang W, Lin L, Li Y, Thakor J, Berg DA, Zhang C, Kang E, Chickering M, Nauen D, Ho CY, Wen Z, Christian KM, Shi PY, Maher BJ, Wu H, Jin P, Tang H, Song H, Ming GL (2016) Brain-region-specific organoids using mini-bioreactors for modeling ZIKV exposure. Cell 165(5):1238–1254. https://doi.org/10.1016/j.cell.2016.04.032
Xiang Y, Tanaka Y, Cakir B, Patterson B, Kim KY, Sun P, Kang YJ, Zhong M, Liu X, Patra P, Lee SH, Weissman SM, Park IH (2019) hESC-derived thalamic organoids form reciprocal projections when fused with cortical organoids. Cell Stem Cell 24(3):487–497 e487. https://doi.org/10.1016/j.stem.2018.12.015
Monzel AS, Smits LM, Hemmer K, Hachi S, Moreno EL, van Wuellen T, Jarazo J, Walter J, Bruggemann I, Boussaad I, Berger E, Fleming RMT, Bolognin S, Schwamborn JC (2017) Derivation of human midbrain-specific organoids from neuroepithelial stem cells. Stem Cell Rep 8(5):1144–1154. https://doi.org/10.1016/j.stemcr.2017.03.010
Nickels SL, Modamio J, Mendes-Pinheiro B, Monzel AS, Betsou F, Schwamborn JC (2020) Reproducible generation of human midbrain organoids for in vitro modeling of Parkinson’s disease. Stem Cell Res 46. https://doi.org/10.1016/j.scr.2020.101870
Ozone C, Suga H, Eiraku M, Kadoshima T, Yonemura S, Takata N, Oiso Y, Tsuji T, Sasai Y (2016) Functional anterior pituitary generated in self-organising culture of human embryonic stem cells. Nat Commun 7:10351. https://doi.org/10.1038/ncomms10351
Ballabio C, Anderle M, Gianesello M, Lago C, Miele E, Cardano M, Aiello G, Piazza S, Caron D, Gianno F, Ciolfi A, Pedace L, Mastronuzzi A, Tartaglia M, Locatelli F, Ferretti E, Giangaspero F, Tiberi L (2020) Modeling medulloblastoma in vivo and with human cerebellar organoids. Nat Commun 11(1):583. https://doi.org/10.1038/s41467-019-13989-3
Muguruma K (2018) Self-organized cerebellar tissue from human pluripotent stem cells and disease modeling with patient-derived iPSCs. Cerebellum 17(1):37–41. https://doi.org/10.1007/s12311-017-0905-2
Eura N, Matsui TK, Luginbuhl J, Matsubayashi M, Nanaura H, Shiota T, Kinugawa K, Iguchi N, Kiriyama T, Zheng C, Kouno T, Lan YJ, Kongpracha P, Wiriyasermkul P, Sakaguchi YM, Nagata R, Komeda T, Morikawa N, Kitayoshi F, Jong M, Kobashigawa S, Nakanishi M, Hasegawa M, Saito Y, Shiromizu T, Nishimura Y, Kasai T, Takeda M, Kobayashi H, Inagaki Y, Tanaka Y, Makinodan M, Kishimoto T, Kuniyasu H, Nagamori S, Muotri AR, Shin JW, Sugie K, Mori E (2020) Brainstem organoids from human pluripotent stem cells. Front Neurosci 14:538. https://doi.org/10.3389/fnins.2020.00538
Choi SH, Kim YH, Hebisch M, Sliwinski C, Lee S, D’Avanzo C, Chen H, Hooli B, Asselin C, Muffat J, Klee JB, Zhang C, Wainger BJ, Peitz M, Kovacs DM, Woolf CJ, Wagner SL, Tanzi RE, Kim DY (2014) A three-dimensional human neural cell culture model of Alzheimer’s disease. Nature 515(7526):274–278. https://doi.org/10.1038/nature13800
Raja WK, Mungenast AE, Lin YT, Ko T, Abdurrob F, Seo J, Tsai LH (2016) Self-organizing 3D human neural tissue derived from induced pluripotent stem cells recapitulate Alzheimer’s disease phenotypes. PLoS ONE 11(9). https://doi.org/10.1371/journal.pone.0161969
Smits LM, Reinhardt L, Reinhardt P, Glatza M, Monzel AS, Stanslowsky N, Rosato-Siri MD, Zanon A, Antony PM, Bellmann J, Nicklas SM, Hemmer K, Qing X, Berger E, Kalmbach N, Ehrlich M, Bolognin S, Hicks AA, Wegner F, Sterneckert JL, Schwamborn JC (2019) Modeling Parkinson’s disease in midbrain-like organoids. NPJ Parkinsons Dis 5:5. https://doi.org/10.1038/s41531-019-0078-4
Garcez PP, Loiola EC, Madeiro da Costa R, Higa LM, Trindade P, Delvecchio R, Nascimento JM, Brindeiro R, Tanuri A, Rehen SK (2016) Zika virus impairs growth in human neurospheres and brain organoids. Science 352(6287):816–818. https://doi.org/10.1126/science.aaf6116
Ramani A, Muller L, Ostermann PN, Gabriel E, Abida-Islam P, Muller-Schiffmann A, Mariappan A, Goureau O, Gruell H, Walker A, Andree M, Hauka S, Houwaart T, Dilthey A, Wohlgemuth K, Omran H, Klein F, Wieczorek D, Adams O, Timm J, Korth C, Schaal H, Gopalakrishnan J (2020) SARS-CoV-2 targets neurons of 3D human brain organoids. EMBO J 39(20). https://doi.org/10.15252/embj.2020106230
Reynolds BA, Tetzlaff W, Weiss S (1992) A multipotent EGF-responsive striatal embryonic progenitor cell produces neurons and astrocytes. J Neurosci 12(11):4565–4574. https://doi.org/10.1523/jneurosci.12-11-04565.1992
Eiraku M, Watanabe K, Matsuo-Takasaki M, Kawada M, Yonemura S, Matsumura M, Wataya T, Nishiyama A, Muguruma K, Sasai Y (2008) Self-organised formation of polarised cortical tissues from ESCs and its active manipulation by extrinsic signals. Cell Stem Cell 3(5):519–532. https://doi.org/10.1016/j.stem.2008.09.002
Mariani J, Coppola G, Zhang P, Abyzov A, Provini L, Tomasini L, Amenduni M, Szekely A, Palejev D, Wilson M, Gerstein M, Grigorenko EL, Chawarska K, Pelphrey KA, Howe JR, Vaccarino FM (2015) FOXG1-dependent dysregulation of GABA/glutamate neuron differentiation in autism spectrum disorders. Cell 162(2):375–390. https://doi.org/10.1016/j.cell.2015.06.034
Danjo T, Eiraku M, Muguruma K, Watanabe K, Kawada M, Yanagawa Y, Rubenstein JL, Sasai Y (2011) Subregional specification of embryonic stem cell-derived ventral telencephalic tissues by timed and combinatory treatment with extrinsic signals. J Neurosci 31(5):1919–1933. https://doi.org/10.1523/jneurosci.5128-10.2011
Shiraishi A, Muguruma K, Sasai Y (2017) Generation of thalamic neurons from mouse embryonic stem cells. Development 144(7):1211–1220. https://doi.org/10.1242/dev.144071
Paşca AM, Sloan SA, Clarke LE, Tian Y, Makinson CD, Huber N, Kim CH, Park JY, O’Rourke NA, Nguyen KD, Smith SJ, Huguenard JR, Geschwind DH, Barres BA, Paşca SP (2015) Functional cortical neurons and astrocytes from human pluripotent stem cells in 3D culture. Nat Meth 12(7):671–678. https://doi.org/10.1038/nmeth.3415
Muguruma K, Nishiyama A, Kawakami H, Hashimoto K, Sasai Y (2015) Self-organisation of polarised cerebellar tissue in 3D culture of human pluripotent stem cells. Cell Rep 10(4):537–550. https://doi.org/10.1016/j.celrep.2014.12.051
Ishida Y, Kawakami H, Kitajima H, Nishiyama A, Sasai Y, Inoue H, Muguruma K (2016) Vulnerability of Purkinje cells generated from spinocerebellar ataxia type 6 patient-derived iPSCs. Cell Rep 17(6):1482–1490. https://doi.org/10.1016/j.celrep.2016.10.026
Sakaguchi H, Kadoshima T, Soen M, Narii N, Ishida Y, Ohgushi M, Takahashi J, Eiraku M, Sasai Y (2015) Generation of functional hippocampal neurons from self-organising human embryonic stem cell-derived dorsomedial telencephalic tissue. Nat Commun 6:8896. https://doi.org/10.1038/ncomms9896
Kadoshima T, Sakaguchi H, Nakano T, Soen M, Ando S, Eiraku M, Sasai Y (2013) Self-organisation of axial polarity, inside-out layer pattern, and species-specific progenitor dynamics in human ES cell-derived neocortex. Proc Natl Acad Sci USA 110(50):20284–20289. https://doi.org/10.1073/pnas.1315710110
Takata N, Sakakura E, Eiraku M, Kasukawa T, Sasai Y (2017) Self-patterning of rostral-caudal neuroectoderm requires dual role of Fgf signaling for localised Wnt antagonism. Nat Commun 8(1):1339. https://doi.org/10.1038/s41467-017-01105-2
Lancaster MA, Corsini NS, Wolfinger S, Gustafson EH, Phillips AW, Burkard TR, Otani T, Livesey FJ, Knoblich JA (2017) Guided self-organisation and cortical plate formation in human brain organoids. Nat Biotechnol 35(7):659–666
Tejchman A, Znój A, Chlebanowska P, Frączek-Szczypta A, Majka M (2020) Carbon fibers as a new type of scaffold for midbrain organoid development. Int J Mol Sci 21(17)
Knight GT, Lundin BF, Iyer N, Ashton LM, Sethares WA, Willett RM, Ashton RS (2018) Engineering induction of singular neural rosette emergence within hPSC-derived tissues. Elife 7
Sharon N, Mor I, Golan-lev T, Fainsod A, Benvenisty N (2011) Molecular and functional characterisations of gastrula organiser cells derived from human embryonic stem cells. Stem cells (Dayton, Ohio) 29(4):600–608. https://doi.org/10.1002/stem.621
Baillie-Benson P, Moris N, Martinez Arias A (2020) Pluripotent stem cell models of early mammalian development. Curr Opin Cell Biol 66:89–96. https://doi.org/10.1016/j.ceb.2020.05.010
Sato T, Vries RG, Snippert HJ, van de Wetering M, Barker N, Stange DE, van Es JH, Abo A, Kujala P, Peters PJ, Clevers H (2009) Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche. Nature 459(7244):262–265. https://doi.org/10.1038/nature07935
Li Y, Muffat J, Omer A, Bosch I, Lancaster MA, Sur M, Gehrke L, Knoblich JA, Jaenisch R (2017) Induction of expansion and folding in human cerebral organoids. Cell Stem Cell 20(3):385-396.e383. https://doi.org/10.1016/j.stem.2016.11.017
Qian X, Su Y, Adam CD, Deutschmann AU, Pather SR, Goldberg EM, Su K, Li S, Lu L, Jacob F, Nguyen PTT, Huh S, Hoke A, Swinford-Jackson SE, Wen Z, Gu X, Pierce RC, Wu H, Briand LA, Chen HI, Wolf JA, Song H, Ming GL (2020) Sliced human cortical organoids for modeling distinct cortical layer formation. Cell Stem Cell 26(5):766-781.e769. https://doi.org/10.1016/j.stem.2020.02.002
Birey F, Andersen J, Makinson CD, Islam S, Wei W, Huber N, Fan HC, Metzler KRC, Panagiotakos G, Thom N, O’Rourke NA, Steinmetz LM, Bernstein JA, Hallmayer J, Huguenard JR, Paşca SP (2017) Assembly of functionally integrated human forebrain spheroids. Nature 545(7652):54–59
Bagley JA, Reumann D, Bian S, Lévi-Strauss J, Knoblich JA (2017) Fused cerebral organoids model interactions between brain regions. Nat Methods 14(7):743–751
Xiang Y, Tanaka Y, Patterson B, Kang YJ, Govindaiah G, Roselaar N, Cakir B, Kim KY, Lombroso AP, Hwang SM, Zhong M, Stanley EG, Elefanty AG, Naegele JR, Lee SH, Weissman SM, Park IH (2017) Fusion of regionally specified hPSC-derived organoids models human brain development and interneuron migration. Cell Stem Cell 21(3):383–398 e387
Andersen J, Revah O, Miura Y, Thom N, Amin ND, Kelley KW, Singh M, Chen X, Thete MV, Walczak EM, Vogel H, Fan HC, Paşca SP (2020) Generation of functional human 3D cortico-motor assembloids. Cell 183(7):1913–1929 e1926. https://doi.org/10.1016/j.cell.2020.11.017
Ao Z, Cai H, Wu Z, Ott J, Wang H, Mackie K, Guo F (2021) Controllable fusion of human brain organoids using acoustofluidics. Lab Chip. https://doi.org/10.1039/d0lc01141j
Abud EM, Ramirez RN, Martinez ES, Healy LM, Nguyen CHH, Newman SA, Yeromin AV, Scarfone VM, Marsh SE, Fimbres C, Caraway CA, Fote GM, Madany AM, Agrawal A, Kayed R, Gylys KH, Cahalan MD, Cummings BJ, Antel JP, Mortazavi A, Carson MJ, Poon WW, Blurton-Jones M (2017) iPSC-derived human microglia-like cells to study neurological diseases. Neuron 94(2):278–293 e279
Lin YT, Seo J, Gao F, Feldman HM, Wen HL, Penney J, Cam HP, Gjoneska E, Raja WK, Cheng J, Rueda R, Kritskiy O, Abdurrob F, Peng Z, Milo B, Yu CJ, Elmsaouri S, Dey D, Ko T, Yankner BA, Tsai LH (2018) APOE4 causes widespread molecular and cellular alterations associated with Alzheimer's disease phenotypes in human iPSC-derived brain cell types. Neuron 98(6):1141–1154 e1147
Song L, Yuan X, Jones Z, Vied C, Miao Y, Marzano M, Hua T, Sang QA, Guan J, Ma T, Zhou Y, Li Y (2019) Functionalisation of brain region-specific spheroids with isogenic microglia-like cells. Sci Rep 9(1):11055
Mansour AA, Gonçalves JT, Bloyd CW, Li H, Fernandes S, Quang D, Johnston S, Parylak SL, Jin X, Gage FH (2018) An in vivo model of functional and vascularised human brain organoids. Nat Biotechnol 36(5):432–441
Linkous A, Balamatsias D, Snuderl M, Edwards L, Miyaguchi K, Milner T, Reich B, Cohen-Gould L, Storaska A, Nakayama Y, Schenkein E, Singhania R, Cirigliano S, Magdeldin T, Lin Y, Nanjangud G, Chadalavada K, Pisapia D, Liston C, Fine HA (2019) Modeling patient-derived glioblastoma with cerebral organoids. Cell Rep 26(12):3203–3211 e3205
Bhaduri A, Di Lullo E, Jung D, Müller S, Crouch EE, Espinosa CS, Ozawa T, Alvarado B, Spatazza J, Cadwell CR, Wilkins G, Velmeshev D, Liu SJ, Malatesta M, Andrews MG, Mostajo-Radji MA, Huang EJ, Nowakowski TJ, Lim DA, Diaz A, Raleigh DR, Kriegstein AR (2020) Outer radial glia-like cancer stem cells contribute to heterogeneity of glioblastoma. Cell Stem Cell 26(1):48–63 e46
Cairns DM, Rouleau N, Parker RN, Walsh KG, Gehrke L, Kaplan DL (2020) A 3D human brain-like tissue model of herpes-induced Alzheimer's disease. Sci Adv 6(19):eaay8828. https://doi.org/10.1126/sciadv.aay8828
Kim H, Park HJ, Choi H, Chang Y, Park H, Shin J, Kim J, Lengner CJ, Lee YK, Kim J (2019) Modeling G2019S-LRRK2 sporadic Parkinson’s disease in 3D midbrain organoids. Stem Cell Rep 12(3):518–531. https://doi.org/10.1016/j.stemcr.2019.01.020
Gill C, Phelan JP, Hatzipetros T, Kidd JD, Tassinari VR, Levine B, Wang MZ, Moreno A, Thompson K, Maier M, Grimm J, Gill A, Vieira FG (2019) SOD1-positive aggregate accumulation in the CNS predicts slower disease progression and increased longevity in a mutant SOD1 mouse model of ALS. Sci Rep 9(1):6724. https://doi.org/10.1038/s41598-019-43164-z
Seminary ER, Sison SL, Ebert AD (2018) Modeling protein aggregation and the heat shock response in ALS iPSC-derived motor neurons. Front Neurosci 12:86. https://doi.org/10.3389/fnins.2018.00086
Kawada J, Kaneda S, Kirihara T, Maroof A, Levi T, Eggan K, Fujii T, Ikeuchi Y (2017) Generation of a motor nerve organoid with human stem cell-derived neurons. Stem Cell Rep 9(5):1441–1449. https://doi.org/10.1016/j.stemcr.2017.09.021
Hor JH, Soh ES, Tan LY, Lim VJW, Santosa MM, Winanto HBX, Fan Y, Soh BS, Ng SY (2018) Cell cycle inhibitors protect motor neurons in an organoid model of spinal muscular atrophy. Cell Death Dis 9(11):1100. https://doi.org/10.1038/s41419-018-1081-0
Park JC, Jang SY, Lee D, Lee J, Kang U, Chang H, Kim HJ, Han SH, Seo J, Choi M, Lee DY, Byun MS, Yi D, Cho KH, Mook-Jung I (2021) A logical network-based drug-screening platform for Alzheimer’s disease representing pathological features of human brain organoids. Nat Commun 12(1):280. https://doi.org/10.1038/s41467-020-20440-5
Villa C, Combi R, Conconi D, Lavitrano M (2021) Patient-derived induced pluripotent stem cells (iPSCs) and cerebral organoids for drug screening and development in autism spectrum disorder: opportunities and challenges. Pharmaceutics 13(2). https://doi.org/10.3390/pharmaceutics13020280
Ogawa J, Pao GM, Shokhirev MN, Verma IM (2018) Glioblastoma model using human cerebral organoids. Cell Rep 23(4):1220–1229. https://doi.org/10.1016/jcelrep.2018.03.105
Acknowledgements
PW was supported by Mahidol University (New Discovery and Frontier Research Grant; grant number NDFR 11/2563) and the Office of National Higher Education Science Research and Innovation Policy Council by Program Management Unit for Human Resources and Institutional Development, Research and Innovation (PMU-B; grant number B05F630081). CP was supported by the Science Achievement Scholarship of Thailand. NK was supported by Mahidol University.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Wongtrakoongate, P., Pakiranay, C., Kitiyanant, N. (2022). Toward Understanding Neurodegeneration Using Brain Organoids. In: Yahaya, B.H. (eds) Organoid Technology for Disease Modelling and Personalized Treatment . Stem Cell Biology and Regenerative Medicine, vol 71. Humana, Cham. https://doi.org/10.1007/978-3-030-93056-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-93056-1_5
Published:
Publisher Name: Humana, Cham
Print ISBN: 978-3-030-93055-4
Online ISBN: 978-3-030-93056-1
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)