The MPS-Db: An Online Tool for the Development and Application of Microphysiology Systems for Toxicity Assessment and Disease Modeling
Albert Gough, Associate Professor, University of Pittsburgh
To accelerate the development and application of Microphysiological Systems (MPS) in biomedical research, a centralized resource is required to provide the detailed design, application, and performance data that enables industry and research scientists to select, optimize, and/or develop new MPS solutions. We have implemented the open source MPS Database (MPS-Db), with a simple icon driven interface, as a resource for MPS researchers (https://mps.csb.pitt.edu). The MPS-Db aggregates MPS data, ranging from static microplate models to integrated, multi-organ microfluidic models, and associates those data with reference data from chemical, biochemical, pre-clinical, clinical and post-marketing sources to support the design, development, validation, interpretation and computational modeling of MPS experimental models. The MPS-Db enables users to manage multifactor, multichip studies, then upload, analyze, review, computationally model and share data. Presently, the MPS-Db hosts more than 100,000 data points and over 4,000 images from more than 30 MPS models contributed by 11 academic laboratories. We will show: 1) Examples of MPS models and the design of MPS studies; 2) evaluation of model reproducibility, between chips, studies and laboratories; 3) evaluation of multiparameter assay results; 4) comparison of model data with human exposure data; and 5) integration of the MPS-Db into the MPS laboratory workflow.
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