Technological developments in recent years have led to increasingly larger data sets with good quality information to characterize samples and processes. Inherent to this a cost reprocessing shift has taken place, from measuring to the analysis of the data.
The speed and efficiency in combination with the quality / innovation of the data analysis in the future will determine the price competitiveness of RIKILT in the research market. For the enhancement of the speed and efficiency of the data analysis further automation is required. By increasing the quality and innovation of the data analysis the biological interpretation is of importance.
The aim of this project is an improved interpretation in the biological / toxic effects of thousands of metabolites / residues / contaminants and / or messenger RNAs, using database linkage, metabolite and gene set enrichment analysis. In addition, a number of data processing and interpretation of biological tools automated.
An untargeted multi-technique metabolomics approach to studying intracellular metabolites of HepG2 cells exposed to 2,3,7,8-tetrachlorodibenzo-p-dioxin
BMC Genomics 12 (2011). - ISSN 1471-2164
Assessment of the usefulness of the murine cytotoxic T cell line CTLL-2 for immunotoxicity screening by transcriptomics
Toxicology Letters 217 (2013)1. - ISSN 0378-4274 - p. 1 - 13.
Assessment of two complementary liquid chromatography coupled to high resolution mass spectrometry metabolomics strategies for the screening of anabolic steroid treatment in calves
Analytica Chimica Acta 700 (2011)1-2. - ISSN 0003-2670 - p. 144 - 154.
Characterization of Translocation of Silver Nanoparticles and Effects on Whole-Genome Gene Expression Using an In Vitro Intestinal Epithelium Coculture Model
ACS Nano 5 (2011)5. - ISSN 1936-0851 - p. 4091 - 4103.
Characterization of the modes of action of deoxynivalenol (DON) in the human Jurkat T-cell line
Journal of Immunotoxicology 12 (2015)3. - ISSN 1547-691X - p. 206 - 216.
DON shares a similar mode of action as the ribotoxic stress inducer anisomycin while TBTO shares ER stress patterns with the ER stress inducer Thapsigargin based on comparative gene expression profiling in Jurkat T cells
Toxicology Letters 224 (2014)3. - ISSN 0378-4274 - p. 395 - 406.
Data (pre-)processing of nominal and accurate mass LC-MS or GC-MS data using MetAlign
Methods in molecular biology 860 (2012). - ISSN 1064-3745 - p. 229 - 253.
Detection of the mechanism of immunotoxicity of cyclosporine A in murine in vitro and in vivo models
Archives of Toxicology 89 (2015)12. - ISSN 0340-5761 - p. 2325 - 2337.
Distribution, Elimination and Toxicity of Silver Nanoparticles and Silver Ions in Rats after 28-day Oral Exposure
ACS Nano 6 (2012)8. - ISSN 1936-0851 - p. 7427 - 7442.
Endocrine disrupting effects of thioxanthone photoinitiators
Toxicological sciences 132 (2013)1. - ISSN 1096-6080 - p. 64 - 74.