Toxicogenomics can be described as the field of science that deals with the collection, interpretation, and storage of information about genome-wide molecular profiles within particular cells or tissue of an organism in response to toxic substances. Toxicogenomics combines toxicology with high content molecular profiling technologies for (epi)genomics, transcriptomics, proteomics and metabolomics. Toxicogenomics research aims to elucidate molecular mechanisms involved in the expression of toxicity, and to derive molecular patterns (i.e. molecular biomarkers) that predict toxicity or the individual susceptibility to it.

Research within the Department of Toxicogenomics is focused on the application of existing and emerging omics-technologies, evaluating cellular responses at the level of gene expression (transcriptomics), gene expression regulations (epigenetics and microRNA analysis), the protein level (proteomics) or the level of the metabolome (metabolomics). In doing so, different platforms and technologies are being applied and compared, including microarray technologies and next generation sequencing. A significant part of ongoing projects aims to optimise and integrate their application to human cellular models, for developing in vitro assays for toxicity prediction. The ultimate aim of projects like CarcinoGENOMICS, DETECTIVE, DiXa or research activities in the context of the Netherlands Toxicogenomics Centre (NTC) is the development of alternatives to animal testing for the toxicological evaluation of substances. More detailed descriptions of these projects can be found below. more info

A second line of research activities within the Department is focussing on the development of omics based biomarkers (e.g. protein-, metabolic- and gene expression profiles) to be applied in translational studies, specifically focusing on toxicological risk evaluation of dietary and environmental exposures and risk-benefit analysis. The nature and complexity of the data (in volume and variability) demands highly developed processes of automated handling, storage and data analysis. Therefore, a data storage and analysis infrastructure has been built which will be used by a growing team of bioinformaticians. The Department specifically aims to develop and implement relevant bioinformatics and biostatistical approaches, in order to retrieve the maximal amount of toxicological information generated through the omics-based studies. more info


BReIN - Brightlands e-Infrastructure for Neurohealth

BReIN — read more »

CEFIC LRI C4 – Towards the development of an omics data analysis framework (ODAF) for regulatory application

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CIN - Brain miRNA’s as markers of drug induced changes in neural integrity

Testing mechanistic and placebo-controlled studies in which we will administer a psychedelic drug (i.e. psilocybin) that is known to affect neural integrity — read more »

Enhanced cross-omics visualizations in toxicogenomics

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EU FP7 - TransQST

Translational quantitative systems toxicology to improve the understanding of the safety of medicines — read more »

EU H2020 - EUToxRisk

Animal-free hazard and risk assessment of chemicals — read more »

EU H2020 - OpenRiskNet

Open e-Infrastructure to Support Data Sharing, Knowledge Integration and in silico Analysis and Modelling in Risk Assessment — read more »


SCREENED aims to develop three-dimensional (3D) cell-based in vitro tests to better characterize the effects of endocrine disruptors on thyroid gland function. — read more »

Immunotoxicity of biotargeted nanomedicines

Methods and criteria for evaluating potential immunotoxicity of biotargeted nanomedicines — read more »

INTERREG VLA-NED Herinneringen

Towards an earlier diagnosis of Alzheimers Disease (AD) — read more »

MiFood - Personalized Nutrition

Evaluation of personalized preventive strategies based on synergistic effects between vioactive compounds present in fruits and vegetables — read more »

NWO Complexity "Complex Systems Framework for Non-alcoholic fatty liver disease (NAFLD)

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APAP induced liver injury (DILI) finalized

Drug Induced Liver Injuries: Studying the underlying mechanisms — read more »

BaP finalized

BaP-induced hepatocarcinogenesis — read more »

BE BASIC finalized

Biobased solutions for a sustainable society — read more »

CEFIC DECO finalized

Data-integration for Endpoints, Chemoinformatics and Omics — read more »

Collaboration UM and LCSB finalized

Analysis of Environmental-Genome Interactions in the development of neurodegenerative diseases — read more »

EU FP7 - Detective finalized

Detection of endpoints and biomarkers of repeated dose toxicity using in vitro systems — read more »

EU FP7 - diXa finalized

Data Infrastructure for Chemical Safety — read more »

EU FP7 - EnviroGenomarkers finalized

Genomics biomarkers of environmental health — read more »

EU FP7 - Exposomics finalized

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EU FP7 - HeCaToS finalized

Hepatic and Cardiac Toxicity Systems modelling — read more »

EU FP7 - iCORDI finalized

International Collaboration on Research Data Infrastructure — read more »

EU FP7 - PHYTOME finalized

Phytochemicals to reduce nitrite in meat products — read more »

Hepatocarcinogenesis finalized

Gene expression profiling of oxidative genotoxic compounds in hepatocarcinogenesis — read more »

MeDIP seq finalized

Methylated DNA Immunoprecipitation Sequencing — read more »

miRNAno finalized

Toxicogenomic studies on engineered carbon nanomaterials — read more »

NGI - Netherlands Toxicogenomics Centre (NTC) finalized

An applied system biology approach to predict chemical safety — read more »

ZonMW - ASAT2 finalized

Systems toxicology supported data infrastructure for human risk assessment — read more »