“Toxicogenomics research is generating large amounts of complex omics data and researchers are challenged to make sense of these data,” noted Prof. Dr. Jos Kleinjans, scientific director of the Netherlands Toxigenomic Centre, who is the coordinator of the carcinoGENOMICS Project. “Genedata Expressionist helps researchers to effectively meet these challenges, by efficiently analyzing high-throughput molecular profiling data” continued Kleinjans. “Moreover, the Genedata team of scientists provides the necessary expertise to ensure the success of ambitious projects such as ours.”
Researchers use Genedata Expressionist to assess assay reproducibility and predict compound carcinogenicity. Assays are based on the application of omics technologies (i.e. genome-wide transcriptomics and metabolomics) to robust in vitro systems (rat/human). Phenotypic markers for genotoxic and carcinogenic events are assessed to anchor gene expression modulations, metabolic profiles, and mechanistic pathways. Through extensive biostatistics, literature mining, and analysis of molecular-expression datasets, differential genetic pathways are identified, which are capable of predicting mechanisms of chemical carcinogenesis in vivo. Furthermore, Genedata Expressionist is able to integrate transcriptomics and metabolomics data to provide a holistic understanding of systems biology and build an iterative in silico model of chemical carcinogenesis.
Recently, Genedata also contributed its software solutions to a number of innovative EU-funded, oncology-focused projects, including:
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