Toward the Replacement of Animal Experiments through the Bioinformatics-driven Analysis of ‘Omics’ Data from Human Cell Cultures

Author:

Grafström Roland C.12,Nymark Penny1,Hongisto Vesa3,Spjuth Ola45,Ceder Rebecca1,Willighagen Egon6,Hardy Barry7,Kaski Samuel8,Kohonen Pekka13

Affiliation:

1. Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden

2. These authors were awarded the 2014 Lush Science Prize.

3. Toxicology Department, Misvik Biology Corporation, Turku, Finland

4. Department of Medical Epidemiology and Biostatistics, Swedish e-Science Research Centre, Karolinska Institutet, Stockholm, Sweden

5. Department of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden

6. Department of Bioinformatics-BiGCat, Maastricht University, Maastricht, The Netherlands

7. Douglas Connect GmbH, Zeiningen, Switzerland

8. Helsinki Institute for Information Technology, Aalto University, Department of Computer Science, Helsinki, Finland

Abstract

This paper outlines the work for which Roland Grafström and Pekka Kohonen were awarded the 2014 Lush Science Prize. The research activities of the Grafström laboratory have, for many years, covered cancer biology studies, as well as the development and application of toxicity-predictive in vitro models to determine chemical safety. Through the integration of in silico analyses of diverse types of genomics data (transcriptomic and proteomic), their efforts have proved to fit well into the recently-developed Adverse Outcome Pathway paradigm. Genomics analysis within state-of-the-art cancer biology research and Toxicology in the 21st Century concepts share many technological tools. A key category within the Three Rs paradigm is the Replacement of animals in toxicity testing with alternative methods, such as bioinformatics-driven analyses of data obtained from human cell cultures exposed to diverse toxicants. This work was recently expanded within the pan-European SEURAT-1 project (Safety Evaluation Ultimately Replacing Animal Testing), to replace repeat-dose toxicity testing with data-rich analyses of sophisticated cell culture models. The aims and objectives of the SEURAT project have been to guide the application, analysis, interpretation and storage of ‘omics’ technology-derived data within the service-oriented sub-project, ToxBank. Particularly addressing the Lush Science Prize focus on the relevance of toxicity pathways, a ‘data warehouse’ that is under continuous expansion, coupled with the development of novel data storage and management methods for toxicology, serve to address data integration across multiple ‘omics’ technologies. The prize winners’ guiding principles and concepts for modern knowledge management of toxicological data are summarised. The translation of basic discovery results ranged from chemical-testing and material-testing data, to information relevant to human health and environmental safety.

Publisher

SAGE Publications

Subject

Medical Laboratory Technology,Toxicology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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