Publication Details

Category Text Publication
Reference Category Journals
DOI 10.3390/ijms21249371
Licence creative commons licence
Title (Primary) Systematic review of multi-omics approaches to investigate toxicological effects in macrophages
Author Karkossa, I.; Raps, S.; von Bergen, M.; Schubert, K.
Source Titel International Journal of Molecular Sciences
Year 2020
Department MOLSYB
Volume 21
Issue 24
Page From art. 9371
Language englisch
Keywords multi-omics; macrophages; toxicology; xenobiotics
Abstract Insights into the modes of action (MoAs) of xenobiotics are of utmost importance for the definition of adverse outcome pathways (AOPs), which are essential for a mechanism-based risk assessment. A well-established strategy to reveal MoAs of xenobiotics is the use of omics. However, often an even more comprehensive approach is needed, which can be achieved using multi-omics. Since the immune system plays a central role in the defense against foreign substances and pathogens, with the innate immune system building a first barrier, we systematically reviewed multi-omics studies investigating the effects of xenobiotics on macrophages. Surprisingly, only nine publications were identified, combining proteomics with transcriptomics or metabolomics. We summarized pathways and single proteins, transcripts, or metabolites, which were described to be affected upon treatment with xenobiotics in the reviewed studies, thus revealing a broad range of effects. In summary, we show that macrophages are a relevant model system to investigate the toxicological effects induced by xenobiotics. Furthermore, the multi-omics approaches led to a more comprehensive overview compared to only one omics layer with slight advantages for combinations that complement each other directly, e.g., proteome and metabolome.
Persistent UFZ Identifier
Karkossa, I., Raps, S., von Bergen, M., Schubert, K. (2020):
Systematic review of multi-omics approaches to investigate toxicological effects in macrophages
Int. J. Mol. Sci. 21 (24), art. 9371 10.3390/ijms21249371