Creation of a Pioneer-Neuron Axonal Pathfinding Model for Future Applications in Developmental Neurotoxicity Testing

The developing central nervous system is a unique target for environmental toxicants both pre- and postnatal. Exposure to industrial chemical toxicants at various stages throughout development are known to contribute to injuries that result in autism, attention-deficit hyperactivity disorder (ADHD), dyslexia, and other cognitive impairments [81]. The damage caused by these exposures is often untreatable and frequently permanent, resulting in reduced intelligence (expressed in terms of lost IQ points) or behavioral abnormalities. It is now reported that 10-15% of all births are associated with disorders of neurobehavioral development [81], where 1 in 68 children in the United States is diagnosed with some form of an autism spectrum disorder (ASD) [7, 93, 188] and 14% of the roughly 4 million children born each year suffer from ADHD [124]. It is estimated that 3% of developmental disabilities are the direct result of environmental exposure, and that another 25% stem from interactions between environmental factors and genetic susceptibility [80, 146]. With more diagnosed cases and rising costs, the identification of the chemicals responsible for the deleterious effects on the developing nervous system has become significant topic of research. Current developmental neurotoxicity (DNT) testing relies heavily on whole animal approaches for hazard identification and dose-response evaluations. These methods are not practical for screening the over 82,000 chemicals already used in commerce with an additional 700 new chemicals introduced annually [24]. Following the first workshop on “Incorporating In Vitro Alternative Methods for Developmental Neurotoxicity (DNT) Testing into International Hazard and Risk Assessment Strategies†in 2005, it was determined that in vitro DNT testing methods should be included as part of a tiered approach to help create a reference list of potential developmentally neurotoxic chemicals and catalog the effects they have on various developmental mechanistic endpoints [40, 127]. Using directionality of pioneer-neuron axonal pathfinding as the mechanism for evaluation, we developed a biochip-based single-neuron axonal pathfinding assay to subjugate extending axons to simultaneous geometric and chemical guidance. To achieve this we devised a laser cell-micropatterning system to facilitate the placement of individual-neurons to exact locations on a PDMS substrate. The cell-culture conditions were optimized to promote single-neuron axonal extension through and beyond the confinements of a geometric guidance microchannel. Evaluation of the pathfinding direction in response to geometric guidance was compared to that of geometric and chemical stimuli. We found using our system that the addition of a chemical guidance component 1) increased the number of individual-neurons extending an axon at least 20 µm beyond the end of a guidance microchannel structure and 2) showed the potential to elicit a growth cone turning event by abruptly changing the initial pathfinding trajectory of an axon. Based on our previous study that single-neuron axonal pathfinding under geometric guidance is one order of magnitude more sensitive to a chemical toxicant, our research data demonstrate that we have created a platform that can be used to test the possible effects that low dose (nM concentrations) chemical exposures may have on pioneer-neuron axonal pathfinding

Simultaneous or Sequential Orthogonal Gradient Formation in a 3D Cell Culture Microfluidic Platform

Biochemical gradients are ubiquitous in biology. At the tissue level, they dictate differentiation patterning or cell migration. Recapitulating in vitro the complexity of such concentration profiles with great spatial and dynamic control is crucial in order to understand the underlying mechanisms of biological phenomena. Here, a microfluidic design capable of generating diffusion-driven, simultaneous or sequential, orthogonal linear concentration gradients in a 3D cell-embedded scaffold is described. Formation and stability of the orthogonal gradients are demonstrated by computational and fluorescent dextran-based characterizations. Then, system utility is explored in two biological systems. First, stem cells are subjected to orthogonal gradients of morphogens in order to mimic the localized differentiation of motor neurons in the neural tube. Similarly to in vivo, motor neurons preferentially differentiate in regions of high concentration of retinoic acid and smoothened agonist (acting as sonic hedgehog), in a concentration-dependent fashion. Then, a rotating gradient is applied to HT1080 cancer cells and the change in migration direction is investigated as the cells adapt to a new chemical environment. The response time of ≈4 h is reported. These two examples demonstrate the versatility of this new design that can also prove useful in many applications including tissue engineering and drug screening.National Science Foundation. Science and Technology Center for Emergent Behaviors of Integrated Cellular Systems (Grant No. CBET-0939511)National Institutes of Health (U.S.) (NIH NRSA/UNCF Merck

Creation of Defined Single Cell Resolution Neuronal Circuits on Microelectrode Arrays

The way cell-cell organization of neuronal networks influences activity and facilitates function is not well understood. Microelectrode arrays (MEAs) and advancing cell patterning technologies have enabled access to and control of in vitro neuronal networks spawning much new research in neuroscience and neuroengineering. We propose that small, simple networks of neurons with defined circuitry may serve as valuable research models where every connection can be analyzed, controlled and manipulated. Towards the goal of creating such neuronal networks we have applied microfabricated elastomeric membranes, surface modification and our unique laser cell patterning system to create defined neuronal circuits with single-cell precision on MEAs. Definition of synaptic connectivity was imposed by the 3D physical constraints of polydimethylsiloxane elastomeric membranes. The membranes had 20μm clear-through holes and 2-3μm deep channels which when applied to the surface of the MEA formed microwells to confine neurons to electrodes connected via shallow tunnels to direct neurite outgrowth. Tapering and turning of channels was used to influence neurite polarity. Biocompatibility of the membranes was increased by vacuum baking, oligomer extraction, and autoclaving. Membranes were bound to the MEA by oxygen plasma treatment and heated pressure. The MEA/membrane surface was treated with oxygen plasma, poly-D-lysine and laminin to improve neuron attachment, survival and neurite outgrowth. Prior to cell patterning the outer edge of culture area was seeded with 5x105 cells per cm and incubated for 2 days. Single embryonic day 7 chick forebrain neurons were then patterned into the microwells and onto the electrodes using our laser cell patterning system. Patterned neurons successfully attached to and were confined to the electrodes. Neurites extended through the interconnecting channels and connected with adjacent neurons. These results demonstrate that neuronal circuits can be created with clearly defined circuitry and a one-to-one neuron-electrode ratio. The techniques and processes described here may be used in future research to create defined neuronal circuits to model in vivo circuits and study neuronal network processing

Glioma on Chips Analysis of glioma cell guidance and interaction in microfluidic-controlled microenvironment enabled by machine learning

In biosystems, chemical and physical fields established by gradients guide cell migration, which is a fundamental phenomenon underlying physiological and pathophysiological processes such as development, morphogenesis, wound healing, and cancer metastasis. Cells in the supportive tissue of the brain, glia, are electrically stimulated by the local field potentials from neuronal activities. How the electric field may influence glial cells is yet fully understood. Furthermore, the cancer of glia, glioma, is not only the most common type of brain cancer, but the high-grade form of it (glioblastoma) is particularly aggressive with cells migrating into the surrounding tissues (infiltration) and contribute to poor prognosis. In this thesis, I investigate how electric fields in the microenvironment can affect the migration of glioblastoma cells using a versatile microsystem I have developed. I employ a hybrid microfluidic design to combine poly(methylmethacrylate) (PMMA) and poly(dimethylsiloxane) (PDMS), two of the most common materials for microfluidic fabrication. The advantages of the two materials can be complemented while disadvantages can be mitigated. The hybrid microfluidics have advantages such as versatile 3D layouts in PMMA, high dimensional accuracy in PDMS, and rapid prototype turnaround by facile bonding between PMMA and PDMS using a dual-energy double sided tape. To accurately analyze label-free cell migration, a machine learning software, Usiigaci, is developed to automatically segment, track, and analyze single cell movement and morphological changes under phase contrast microscopy. The hybrid microfluidic chip is then used to study the migration of glioblastoma cell models, T98G and U-251MG, in electric field (electrotaxis). The influence of extracellular matrix and chemical ligands on glioblastoma electrotaxis are investigated. I further test if voltage-gated calcium channels are involved in glioblastoma electrotaxis. The electrotaxes of glioblastoma cells are found to require optimal laminin extracellular matrices and depend on different types of voltage-gated calcium channels, voltage-gated potassium channels, and sodium transporters. A reversiblysealed hybrid microfluidic chip is developed to study how electric field and laminar shear can condition confluent endothelial cells and if the biomimetic conditions affect glioma cell adhesion to them. It is found that glioma/endothelial adhesion is mediated by the Ang1/Tie2 signaling axis and adhesion of glioma is slightly increased to endothelial cells conditioned with shear flow and moderate electric field. In conclusion, robust and versatile hybrid microsystems are employed for studying glioma biology with emphasis on cell migration. The hybrid microfluidic tools can enable us to elucidate fundamental mechanisms in the field of the tumor biology and regenerative medicine.Okinawa Institute of Science and Technology Graduate Universit

3D-Printed Soft Lithography for Complex Compartmentalized Microfluidic Neural Devices.

Compartmentalized microfluidic platforms are an invaluable tool in neuroscience research. However, harnessing the full potential of this technology remains hindered by the lack of a simple fabrication approach for the creation of intricate device architectures with high-aspect ratio features. Here, a hybrid additive manufacturing approach is presented for the fabrication of open-well compartmentalized neural devices that provides larger freedom of device design, removes the need for manual postprocessing, and allows an increase in the biocompatibility of the system. Suitability of the method for multimaterial integration allows to tailor the device architecture for the long-term maintenance of healthy human stem-cell derived neurons and astrocytes, spanning at least 40 days. Leveraging fast-prototyping capabilities at both micro and macroscale, a proof-of-principle human in vitro model of the nigrostriatal pathway is created. By presenting a route for novel materials and unique architectures in microfluidic systems, the method provides new possibilities in biological research beyond neuroscience applications

Overview of Materials for Microfluidic Applications

For each material dedicated to microfluidic applications, inherent microfabrication and specific physico‐chemical properties are key concerns and play a dominating role in further microfluidic operability. From the first generation of inorganic glass, silicon and ceramics microfluidic devices materials, to diversely competitive polymers alternatives such as soft and rigid thermoset and thermoplastics materials, to finally various paper, biodegradable and hydrogel materials; this chapter will review their advantages and drawbacks regarding their microfabrication perspectives at both research and industrial scale. The chapter will also address, the evolution of the materials used for fabricating microfluidic chips, and will discuss the application‐oriented pros and cons regarding especially their critical strategies and properties for devices assembly and biocompatibility, as well their potential for downstream biochemical surface modification are presented