Functional and Mechanistic Neurotoxicity Profiling Using Human iPSC-Derived Neural 3D Cultures.

Neurological disorders affect millions of people worldwide and appear to be on the rise. Whereas the reason for this increase remains unknown, environmental factors are a suspected contributor. Hence, there is an urgent need to develop more complex, biologically relevant, and predictive in vitro assays to screen larger sets of compounds with the potential for neurotoxicity. Here, we employed a human induced pluripotent stem cell (iPSC)-based 3D neural platform composed of mature cortical neurons and astrocytes as a model for this purpose. The iPSC-derived human 3D cortical neuron/astrocyte co-cultures (3D neural cultures) present spontaneous synchronized, readily detectable calcium oscillations. This advanced neural platform was optimized for high-throughput screening in 384-well plates and displays highly consistent, functional performance across different wells and plates. Characterization of oscillation profiles in 3D neural cultures was performed through multi-parametric analysis that included the calcium oscillation rate and peak width, amplitude, and waveform irregularities. Cellular and mitochondrial toxicity were assessed by high-content imaging. For assay characterization, we used a set of neuromodulators with known mechanisms of action. We then explored the neurotoxic profile of a library of 87 compounds that included pharmaceutical drugs, pesticides, flame retardants, and other chemicals. Our results demonstrated that 57% of the tested compounds exhibited effects in the assay. The compounds were then ranked according to their effective concentrations based on in vitro activity. Our results show that a human iPSC-derived 3D neural culture assay platform is a promising biologically relevant tool to assess the neurotoxic potential of drugs and environmental toxicants.

Phenotypic Assays for Characterizing Compound Effects on Induced Pluripotent Stem Cell-Derived Cardiac Spheroids.

Development of more complex, biologically relevant, and predictive cell-based assays for compound screening is a major challenge in drug discovery. The focus of this study was to establish high-throughput compatible three-dimensional (3D) cardiotoxicity assays using human induced pluripotent stem cell-derived cardiomyocytes. Using both high-content imaging and fast kinetic fluorescence imaging, the impact of various compounds on the beating rates and patterns of cardiac spheroids was monitored by changes in intracellular Ca2+ levels with calcium-sensitive dyes. Advanced image analysis methods were implemented to provide multiparametric characterization of the Ca2+ oscillation patterns. In addition, we used confocal imaging and 3D analysis methods to characterize compound effects on the morphology of 3D spheroids. This phenotypic assay allows for the characterization of parameters such as beating frequency, amplitude, peak width, rise and decay times, as well as cell viability and morphological characteristics. A set of 22 compounds, including a number of known cardioactive and cardiotoxic drugs, was assayed at different time points, and the calculated EC50 values for compound effects were compared between 3D and two-dimensional (2D) model systems. A significant concordance in the phenotypes was observed for compound effects between the two models, but essential differences in the concentration responses and time dependencies of the compound-induced effects were observed. Together, these results indicate that 3D cardiac spheroids constitute a functionally distinct biological model system from traditional flat 2D cultures. In conclusion, we have demonstrated that phenotypic assays using 3D model systems are enabled for screening and suitable for cardiotoxicity assessment in vitro.

The alliance for cellular signaling plasmid collection: a flexible resource for protein localization studies and signaling pathway analysis.

Cellular responses to inputs that vary both temporally and spatially are determined by complex relationships between the components of cell signaling networks. Analysis of these relationships requires access to a wide range of experimental reagents and techniques, including the ability to express the protein components of the model cells in a variety of contexts. As part of the Alliance for Cellular Signaling, we developed a robust method for cloning large numbers of signaling ORFs into Gateway entry vectors, and we created a wide range of compatible expression platforms for proteomics applications. To date, we have generated over 3000 plasmids that are available to the scientific community via the American Type Culture Collection. We have established a website at www.signaling-gateway.org/data/plasmid/ that allows users to browse, search, and blast Alliance for Cellular Signaling plasmids. The collection primarily contains murine signaling ORFs with an emphasis on kinases and G protein signaling genes. Here we describe the cloning, databasing, and application of this proteomics resource for large scale subcellular localization screens in mammalian cell lines.

Protein localization studies in the age of 'Omics'.

As thousands of new genes are identified in genomics efforts, the rush is on to learn something about the functional roles of the proteins encoded by those genes. Clues to protein functions, activation states and protein-protein interactions have been revealed in focused studies of protein localization. With technical breakthroughs such as GFP protein tagging and recombinase cloning systems, large-scale screens of protein localization are now being undertaken.

Unravelling the signal-transduction network in B lymphocytes.

The Alliance for Cellular Signaling has chosen the mouse B lymphocyte as a model system to understand basic principles that govern cellular signalling. Progress to that end has focused initially on establishing a reproducible experimental cell system and characterizing essential signalling responses. Although unravelling this complex network will take years, findings revealed in the interim will prove immensely useful to the scientific community at large.