Brain Organoids as Model Systems for Genetic Neurodevelopmental Disorders

Neurodevelopmental disorders (NDDs) are a group of disorders in which the development of the central nervous system (CNS) is disturbed, resulting in different neurological and neuropsychiatric features, such as impaired motor function, learning, language or non-verbal communication. Frequent comorbidities include epilepsy and movement disorders. Advances in DNA sequencing technologies revealed identifiable genetic causes in an increasingly large proportion of NDDs, highlighting the need of experimental approaches to investigate the defective genes and the molecular pathways implicated in abnormal brain development. However, targeted approaches to investigate specific molecular defects and their implications in human brain dysfunction are prevented by limited access to patient-derived brain tissues. In this context, advances of both stem cell technologies and genome editing strategies during the last decade led to the generation of three-dimensional (3D) in vitro-models of cerebral organoids, holding the potential to recapitulate precise stages of human brain development with the aim of personalized diagnostic and therapeutic approaches. Recent progresses allowed to generate 3D-structures of both neuronal and non-neuronal cell types and develop either whole-brain or region-specific cerebral organoids in order to investigate in vitro key brain developmental processes, such as neuronal cell morphogenesis, migration and connectivity. In this review, we summarized emerging methodological approaches in the field of brain organoid technologies and their application to dissect disease mechanisms underlying an array of pediatric brain developmental disorders, with a particular focus on autism spectrum disorders (ASDs) and epileptic encephalopathies

Advanced microstructured platforms for neuroscience: from lab-on-chips for circadian clock studies to next generation bionic 3D brain tissue models

In mammals, the suprachiasmatic nucleus (SCN) of the hypothalamus is considered the master circadian pacemaker which coordinates circadian rhythms in the central nervous system (CNS) and across the entire body. The SCN receives light input from the eyes through the retinohypothalamic tract and then it synchronizes other clocks in the CNS and periphery, thus orchestrating rhythms throughout the body. However, little is known about how so many cellular clocks within and across brain circuits can be effectively synchronized to entrain the coordinated expression of clock genes in cells distributed all over the brain. In this work I investigated the possible implication of two possible pathways: i) paracrine factors-mediated synchronization and ii) astrocytes-mediated synchronization. To study these pathways, I adopted an in vitro research model that I developed based on a lab-on-a-chip microfluidic device designed and realized in our laboratory. This device allows growing and compartmentalizing distinct neural populations connected through a network of astrocytes or through a cell-free channel in which the diffusion of paracrine factors is allowed. By taking advantage of this device, upon its validation, I synchronized neural clocks in one compartment and analyzed, in different experimental conditions, the induced expression of clock genes in a distant neural network grown in the second compartment. Results show that both pathways can be involved, but might have different roles. Neurons release factors that can diffuse to synchronize a neuronal population. The same factors can also synchronize astrocytes that, in turn, can transmit astrocyte-mediated molecular clocks to more distant neuronal populations. This is supported by experimental data obtained using microfluidic devices featuring different channel lengths. I found that paracrine factors-mediated synchronization occurs only in the case of a short distance between neuronal populations. On the contrary, interconnecting astrocytes define an active channel that can transfer molecular clocks to neural populations also at long distances. The study of possibly involved signaling factors indicate that paracrine factors-mediated synchronization occurs through GABA signaling, while astrocytes-mediated synchronization involves both GABA and glutamate. These findings strength the importance of the synergic regulation of clock genes among neurons and astrocytes, and identify a previously unknown role of astrocytes as active cells in distributing signals to regulate the expression of clock genes in the brain. Preliminary results also show a correlation between astrocyte reactivity and local alterations in neuronal synchronization, thus opening a new scenario for future studies in which disease-induced astrocyte reactivity might be linked to alterations in clock gene expression.Three-dimensional (3D) brain models hold great potential for the generation of functional in vitro models to advance studies on human brain development, diseases and possible therapies. The routine exploitation of such models, however, is hindered by the lack of technologies to chronically monitor the activity of neural aggregates in three dimensions. A promising new approach consists in growing bio-artificial 3D brain model systems with seamless tissue-integrated biosensing artificial microdevices. Such devices could provide a platform for in-tissue sensing of diverse biologically relevant parameters. To date there is very little information on how to control the extracellular integration of such microscale devices into neuronal 3D cell aggregates. In this direction, in the present work I contributed to investigated the growth of hybrid neurospheroids obtained by the aggregation of silicon sham microchips (100x100x50\u3bcm3) with primary cortical cells. Interestingly, by coating microchips with different adhesion-promoting molecules, we reveal that surface functionalization can tune the integration and final 3D location of self-standing microdevices into neurospheroids. Morphological and functional characterization suggests that the presence of an integrated microdevice does not alter spheroid growth, cellular composition, nor network activity and maturation. Finally, we also demonstrate the feasibility of separating cells and microchips from formed hybrid neurospheroids for further single-cell analysis, and quantifications confirm an unaltered ratio of neurons and glia. These results uncover the potential of surface-engineered self-standing microdevices to grow untethered three-dimensional brain-tissue models with inbuilt bioelectronic sensors at predefined sites

Tissue engineered organoids for neural network modelling

The increased prevalence of neurological diseases across the world has stimulated a great deal of research into the physiological and pathological brain, both at clinical and pre-clinical level. This has led to the development of many sophisticated tissue engineered neural models, presenting greater cellular complexity to better mimic the central nervous system niche environment. These have been developed with the ambition to improve pre-clinical assessment of pharma and cellular therapies, as well as better understand this tissue type and its function/dysfunction. This review covers the necessary considerations in in vitro model design, along with recent advances in 2Dculture systems, to 3D organoids and bio-artificial organs

Microfluidic devices for cell cultivation and proliferation

Microfluidic technology provides precise, controlled-environment, cost-effective, compact, integrated, and high-throughput microsystems that are promising substitutes for conventional biological laboratory methods. In recent years, microfluidic cell culture devices have been used for applications such as tissue engineering, diagnostics, drug screening, immunology, cancer studies, stem cell proliferation and differentiation, and neurite guidance. Microfluidic technology allows dynamic cell culture in microperfusion systems to deliver continuous nutrient supplies for long term cell culture. It offers many opportunities to mimic the cell-cell and cell-extracellular matrix interactions of tissues by creating gradient concentrations of biochemical signals such as growth factors, chemokines, and hormones. Other applications of cell cultivation in microfluidic systems include high resolution cell patterning on a modified substrate with adhesive patterns and the reconstruction of complicated tissue architectures. In this review, recent advances in microfluidic platforms for cell culturing and proliferation, for both simple monolayer (2D) cell seeding processes and 3D configurations as accurate models of in vivo conditions, are examined

A 3D <i>in vitro</i> model reveals differences in the astrocyte response elicited by potential stem cell therapies for CNS injury.

Aim: This study aimed to develop a 3D culture model to test the extent to which transplanted stem cells modulate astrocyte reactivity, where exacerbated glial cell activation could be detrimental to CNS repair success. Materials & methods: The reactivity of rat astrocytes to bone marrow mesenchymal stem cells, neural crest stem cells (NCSCs) and differentiated adipose-derived stem cells was assessed after 5 days. Schwann cells were used as a positive control. Results: NCSCs and differentiated Schwann cell-like adipose-derived stem cells did not increase astrocyte reactivity. Highly reactive responses to bone marrow mesenchymal stem cells and Schwann cells were equivalent. Conclusion: This approach can screen therapeutic cells prior to in vivo testing, allowing cells likely to trigger a substantial astrocyte response to be identified at an early stage. NCSCs and differentiated Schwann cell-like adipose-derived stem cells may be useful in treating CNS damage without increasing astrogliosis

Optogenetic Brain Interfaces

The brain is a large network of interconnected neurons where each cell functions as a nonlinear processing element. Unraveling the mysteries of information processing in the complex networks of the brain requires versatile neurostimulation and imaging techniques. Optogenetics is a new stimulation method which allows the activity of neurons to be modulated by light. For this purpose, the cell-types of interest are genetically targeted to produce light-sensitive proteins. Once these proteins are expressed, neural activity can be controlled by exposing the cells to light of appropriate wavelengths. Optogenetics provides a unique combination of features, including multimodal control over neural function and genetic targeting of specific cell-types. Together, these versatile features combine to a powerful experimental approach, suitable for the study of the circuitry of psychiatric and neurological disorders. The advent of optogenetics was followed by extensive research aimed to produce new lines of light-sensitive proteins and to develop new technologies: for example, to control the distribution of light inside the brain tissue or to combine optogenetics with other modalities including electrophysiology, electrocorticography, nonlinear microscopy, and functional magnetic resonance imaging. In this paper, the authors review some of the recent advances in the field of optogenetics and related technologies and provide their vision for the future of the field.United States. Defense Advanced Research Projects Agency (Space and Naval Warfare Systems Center, Pacific Grant/Contract No. N66001-12-C-4025)University of Wisconsin--Madison (Research growth initiative; grant 101X254)University of Wisconsin--Madison (Research growth initiative; grant 101X172)University of Wisconsin--Madison (Research growth initiative; grant 101X213)National Science Foundation (U.S.) (MRSEC DMR-0819762)National Science Foundation (U.S.) (NSF CAREER CBET-1253890)National Institutes of Health (U.S.) (NIH/NIBIB R00 Award (4R00EB008738)National Institutes of Health (U.S.) (NIH Director’s New Innovator award (1-DP2-OD002989))Okawa Foundation (Research Grant Award)National Institutes of Health (U.S.) (NIH Director’s New Innovator Award (1DP2OD007265))National Science Foundation (U.S.) (NSF CAREER Award (1056008)Alfred P. Sloan Foundation (Fellowship)Human Frontier Science Program (Strasbourg, France) (Grant No. 1351/12)Israeli Centers of Research Excellence (I-CORE grant, program 51/11)MINERVA Foundation (Germany

The Use of Stem Cell-Derived Neurons for Understanding Development and Disease of the Cerebellum

The cerebellum is a fascinating brain structure, containing more neurons than the rest of the brain combined. The cerebellum develops according to a highly orchestrated program into a well-organized laminar structure. Much has been learned about the underlying genetic networks controlling cerebellar development through the study of various animal models. Cerebellar development in humans however, is significantly protracted and more complex. Given that the cerebellum regulates a number of motor and non-motor functions and is affected in a wide variety of neurodevelopmental and neurodegenerative disorders, a better understanding of human cerebellar development is highly desirable. Pluripotent stem cells offer an exciting new tool to unravel human cerebellar development and disease by providing a dynamic and malleable platform, which is amenable to genetic manipulation and temporally unrestricted sampling. It remains to be seen, however, whether in vitro neuronal cultures derived from pluripotent stem cells fully recapitulate the formation and organization of the developing nervous system, with many reports detailing the functionally immature nature of these cultures. Nevertheless, recent advances in differentiation protocols, cell-sampling methodologies, and access to informatics resources mean that the field is poised for remarkable discoveries. In this review, we provide a general overview of the field of neuronal differentiation, focusing on the cerebellum and highlighting conceptual advances in understanding neuronal maturity, including a discussion of both current and emerging methods to classify, and influence neuroanatomical identity and maturation status

Biohybrid swimmers at low Reynolds number powered by tissue-engineered neuromuscular units

Biohybrid machines are engineered systems which are built by integrating biological cells with synthetic materials and components. Development of biohybrid machines utilizes the classical engineering modalities of design, modeling, prototype fabrication, testing, and iteration, but also draws from a toolbox that includes biological cells and materials. This enables a range of exciting possibilities since biological systems can develop via self-organization, function autonomously, and monitor and adapt to their environments. Pioneering studies on biohybrid machines have demonstrated the development of devices powered by muscle cells, capable of locomotion, pumping, and micromanipulation. A currently emerging frontier in the field is the integration of neuronal control. A wide range of complex animal behaviors are orchestrated by the nervous system which interfaces the body with the environment through sensing, information processing, and coordinating motor activity. Hence, the integration of neurons may enable the development of autonomous biohybrid machines capable of higher-level functionalities such as sensing, memory, and adaptation. The focus of this dissertation is on the implementation of neuronal actuation in muscle powered biohybrid machines. Firstly, we develop an experimental bioactuator platform to study the in vitro development of neuromuscular units. Engineered skeletal muscle tissues, anchored to compliant pillars, are co-cultured on the platform with optogenetic stem cell-derived neuronal clusters containing motor neurons. The motor neurons extend axons and innervate the muscle fibers, forming functional neuromuscular units. Our study illustrates several outcomes of synergistic interactions between the muscles and neurons. Muscles co-cultured with neurons exhibit significantly higher contraction force and cytoskeletal maturation compared to muscles cultured alone. Neurons self-organize into networks which generate synchronous bursting patterns, the development of which is facilitated by muscle-secreted soluble factors. Next, we implement our neuron-muscle co-culture approach on a free-standing compliant scaffold containing slender flagella, to demonstrate the first example of a biohybrid swimmer powered by neuromuscular units. Optogenetic stimulation of motor neurons evokes periodic muscle contractions, and the swimmer is driven by the resulting time-irreversible deformations of the flagella, a common mechanism of propulsion at low Reynolds number. Lastly, we investigate potential design strategies for improving swimming performance, assisted by analytical and computational models. Our models predict that the swimming speed of our initial prototype can be improved by up to two orders of magnitude by redesigning the swimmer scaffold to reduce drag and increase actuation amplitude