Details zur Publikation

Referenztyp Qualifizierungsarbeiten
DOI / URL
Titel (primär) Modeling and predicting toxicogenomic effect profiles of environmental chemicals and their mixtures : towards non-target bioanalytics for environmental monitoring
Autor Schüttler, A.;
Journal / Serie PhD Dissertation
Erscheinungsjahr 2019
Department BIOTOX;
Band/Volume 1/2019
Sprache englisch;
POF III (gesamt) T42;
UFZ Bestand Leipzig, Bibliothek, Reportsammlung, 00530743, 19-0193 F/E
Abstract While many water bodies are found to be polluted by a mixture of numerous chemicals, suitable tools which allow a comprehensive diagnosis of the resulting biological effects are lacking. However, such effect information would be needed in water body management to facilitate measures which counteract decreasing ecological quality. Toxicogenomic methods (i.e., the application of omics technology in toxicology) could fill this gap by providing non-target bioanalytical approaches. Therefore, this dissertation aims at advancing the applicability of toxicogenomics in environmental monitoring.

It has been shown that exposing organisms to chemicals may inducecompound specific changes on the transcriptome, i.e. the entire composition of RNA transcripts in a cell or tissue. Transcripts are copies of
genes on the DNA, which may have regulatory functions or encode the assembly of proteins. The analysis of transcriptome profiles, which can be conducted with the help of cDNA-microarrays, may indicate specific
compound exposure, and at the same time provide insights about the cellular or physiological responses in the organism (e.g., biotransformation, proliferation, cell death). These properties could be used to apply
transcriptomics for comprehensive diagnoses of biological effects and the respective responsible substances in environmental samples.
ID 21836
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=21836
Schüttler, A. (2019):
Modeling and predicting toxicogenomic effect profiles of environmental chemicals and their mixtures : towards non-target bioanalytics for environmental monitoring
Dissertation, Rheinisch-Westfälische Technische Hochschule (RWTH), Fakultät für Mathematik, Informatik und Naturwissenschaften
PhD Dissertation 1/2019
Helmholtz-Zentrum für Umweltforschung - UFZ, Leipzig, XX, 200 pp.