Financial, societal, and regulatory pressures are driving companies across industries to reduce or eliminate animal testing. However, in most cases, it is unclear how this can be accomplished while ensuring the safety of customers, employees, and the environment. Our vision—a framework for predicting chemical toxicity from gene expression data—would decrease industry’s dependence on expensive animal-based testing methods. At the core of the platform, we are developing the MoAviz applet for summarizing and interpreting chemical mode of action.
MoAviz is a browser-based applet for summarizing, exploring and interpreting gene expression and other high-throughput data
MoAviz has been instrumental in identifying (a) dose-response, (b) mode of action, and (c) differences in responses across experimental factors such as species, cell model, or gender in various projects. We have used this framework, which makes use of an interactive applet for visualizing the interactions between chemicals and cells, in work for clients representing chemical, consumer product, and pharmaceutical industries. ScitoVation investigators have applied these tools to in vitro and in-life studies investigating formaldehyde, chloroprene, naphthalene, arsenic, hepatic nuclear receptor agonists, various genotoxicants, vanadium pentoxide, estrogens, and adipocyte differentiation in response to environmental obesogens.
ScitoVation is continuously developing the MoAviz framework to meet the needs of our clients by incorporating new experimental data into customized views. We are building a reference library of “toxicogenomics” signatures that currently includes over 1500 experiments spanning 200 compounds across experimental models (in vitro and in vivo across different tissues/species) and exposure time- and dose response.
*MoAviz has been developed with the support of the American Chemistry Council.