Reconstituted basement membrane enables airway epithelium modeling and nanoparticle toxicity testing

On-chip real-time impedance monitoring of hiPSC-derived and artificial basement membrane-supported endothelium

Recent advances have shown the high sensibility of electrochemical impedance spectroscopy in real-time monitoring of cell barriers on a chip. Here, we applied this method to the investigation of human induced pluripotent stem cell (hiPSC) derived and artificial basement membrane (ABM) supported endothelial barrier. The ABM was obtained by self-assembling type IV collagen and laminin with a monolayer of crosslinked gelatin nanofibers. The hiPSCs were differentiated into brain microvascular endothelial cells (BMECs) and then plated on the ABM. After incubation for two days, the ABM-BMEC assembly was placed as a tissue insert into a microfluidic device for culture and real-time impedance monitoring over days. We found a significantly enhanced stability of the BMEC barrier in a serum-free and bromodeoxyuridine (BrdU) containing culture medium compared to the conventional culture due to the restricted cell proliferation. We also found that the BMEC barrier was sensitive to stimuli such as thrombin and that the change of the barrier impedance was mainly due to the change of the cell layer resistance. We can thus advocate this method to investigate the integrity of the cell barrier and the barrier-based assays.

Biomimetic In Vitro Lung Models: Current Challenges and Future Perspective

As post-COVID complications, chronic respiratory diseases are one of the foremost causes of mortality. The quest for a cure for this recent global challenge underlines that the lack of predictive in vitro lung models is one of the main bottlenecks in pulmonary preclinical drug development. Despite rigorous efforts to develop biomimetic in vitro lung models, the current cutting-edge models represent a compromise in numerous technological and biological aspects. Most advanced in vitro models are still in the "proof-of-concept" phase with a low clinical translation of the findings. On the other hand, advances in cellular and molecular studies are mainly based on relatively simple and unrealistic in vitro models. Herein, the current challenges and potential strategies toward not only bioinspired but truly biomimetic lung models are discussed.

Automatic differentiation of human induced pluripotent stem cells toward synchronous neural networks on an arrayed monolayer of nanofiber membrane

Automatic differentiation of human-induced pluripotent stem cells (hiPSCs) facilitates the generation of cortical neural networks and studies of brain functions. Here, we present a method of directed differentiation of hiPSCs with a substrate made of a honeycomb microframe and a monolayer of crosslinked gelatin nanofibers in the form of an array of nanofiber membranes. Neural precursor cells (NPCs) were firstly derived from hiPSCs and then placed on the nanofiber membranes for automatically controlled neural differentiation over a long period. Due to the strong modulation of the substrate stiffness and permeability, most cells were found in the center area of the honeycomb compartments, giving rise to regular and inter-connected cortical neural clusters. More importantly, the neural activities of the clusters were synchronized proving the reliability of the method. Our results showed that the self-organization, as well as the neural activities of differentiating neural cells, were more efficient in the nanofiber membrane compared to the types of the substrate such as glass and nanofiber-covered glass. In addition to the inherent advantages such as manpower saving and fewer risks of contamination and human error, automatic differentiation avoided undesired shaking which might have critical effects on the formation of synchronous neural clusters. STATEMENT OF SIGNIFICANCE: : Synchronization of cortical neural activities is essential for information processing and human cognition. By automated differentiation of human induced pluripotent stem cells on arrayed monolayer of nanofiber membrane, synchronous neural clusters could be formed. Such an approach would allow creating a variety of neural networks with regular and interconnected clusters for systematic studies of human cortical functions.

Epithelial folding of alveolar cells derived from human induced pluripotent stem cells on artificial basement membrane

Epithelial folding depends on mechanical properties of both epithelial cells and underlying basement membrane (BM). While folding is essential for tissue morphogenesis and functions, it is difficult to recapitulate features of a growing epithelial monolayer for in vitro modeling due to lack of in vivo like BM. Herein, we report a method to overcome this difficulty by culturing on an artificial basement membrane (ABM) the primordial lung progenitors (PLPs) from human induced pluripotent stem cells (hiPSCs). The ABM was achieved by self-assembling collagen IV and laminin, the two principal natural BM proteins, in the pores of a monolayer of crosslinked gelatin nanofibers deposited on a honeycomb micro-frame. The hiPSC-PLPs were seeded on the ABM for alveolar differentiation under submerged and air-liquid interface culture conditions. As results, the forces generated by the growing epithelial monolayer led to a geometry-dependent folding. Analysis of strain distribution in a clamped membrane provided instrumental insights into some of the observed phenomena. Moreover, the forces generated by the growing epithelial layer led to a high-level expression of surfactant protein C and a high percentage of aquaporin 5 positive cells compared with the results obtained with a nanofiber-covered bulk substrate. Thus, this work demonstrated the importance of recapitulating natural BM for advanced epithelial modeling. STATEMENT OF SIGNIFICANCE: The effort to develop in vitro epithelial models has not been entirely successful to date, due to lack of in vivo like basement membrane (BM). This lack has been overcome by using a microfabricated dense thin and pliable sheet like structure made of natural BM proteins. With such an artificial BM, alveolar epithelial deformation and folding could be studied and date could be correlated to numerical analyses of a plate theory. This method is simple and effective, enabling further developments in epithelial tissue modeling.