Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1007/s00204-020-02656-y |
Licence  |
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| Title (Primary) | Prospects and challenges of multi‑omics data integration in toxicology |
| Author | Canzler, S.
; Schor, J.; Busch, W.
; Schubert, K.; Rolle-Kampczyk, U.E.; Seitz, H.; Kamp, H.; von Bergen, M.; Buesen, R.; Hackermüller, J.
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| Source Titel | Archives of Toxicology |
| Year | 2020 |
| Department | BIOTOX; MOLSYB |
| Volume | 94 |
| Issue | 2 |
| Page From | 371 |
| Page To | 388 |
| Language | englisch |
| Supplements | https://static-content.springer.com/esm/art%3A10.1007%2Fs00204-020-02656-y/MediaObjects/204_2020_2656_MOESM1_ESM.pdf |
| Keywords | Multi-omics; Toxicology; Chemical exposure; Risk assessment; Data integration |
| Abstract | Exposure of cells or organisms to chemicals can trigger a series of effects at the regulatory pathway level, which involve changes of levels, interactions, and feedback loops of biomolecules of different types. A single-omics technique, e.g., transcriptomics, will detect biomolecules of one type and thus can only capture changes in a small subset of the biological cascade. Therefore, although applying single-omics analyses can lead to the identification of biomarkers for certain exposures, they cannot provide a systemic understanding of toxicity pathways or adverse outcome pathways. Integration of multiple omics data sets promises a substantial improvement in detecting this pathway response to a toxicant, by an increase of information as such and especially by a systemic understanding. Here, we report the findings of a thorough evaluation of the prospects and challenges of multi-omics data integration in toxicological research. We review the availability of such data, discuss options for experimental design, evaluate methods for integration and analysis of multi-omics data, discuss best practices, and identify knowledge gaps. Re-analyzing published data, we demonstrate that multi-omics data integration can considerably improve the confidence in detecting a pathway response. Finally, we argue that more data need to be generated from studies with a multi-omics-focused design, to define which omics layers contribute most to the identification of a pathway response to a toxicant. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=22778 |
| Canzler, S., Schor, J., Busch, W., Schubert, K., Rolle-Kampczyk, U.E., Seitz, H., Kamp, H., von Bergen, M., Buesen, R., Hackermüller, J. (2020): Prospects and challenges of multi‑omics data integration in toxicology Arch. Toxicol. 94 (2), 371 - 388 10.1007/s00204-020-02656-y |
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