Work

Predictive Mechanisms in Stem Cells: An In Vitro System‐Based Method for Testing Carcinogenicity

Year: 2014

Type: book-chapter

Abstract: The identification of predictive patterns for toxicity from high-throughput gene expression readouts in human in vitro assays is a fundamental goal of toxicogenomics. Reproducible and predictive assays based on stem cells have the potential to deliver such predictions in a more unbiased way than, for example, hepatocarcinoma cell lines. In this chapter, we describe the molecular characteristics of such a system built on a human embryonic stem-cell-derived assay for the liver. We report and extend published work that applied this assay for the first time to predict carcinogenicity induced by chemical compounds. We describe a bioinformatics approach that uses pathway-wise expression patterns instead of gene-wise expression patterns in order to identify predictive mechanisms for chemical carcinogenicity, and we show that such patterns are highly discriminative for the different toxicity classes of carcinogens.

Source: Wiley eBooks

DOI: 10.1002/9781118856017.ch18

Authors: Mireia Vilardell, Ralf Herwig

Institutions: Max Planck Society, Max Planck Institute for Molecular Genetics

Language: English

Topic: Carcinogens and Genotoxicity Assessment

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funder: European Commission