Isabel Karkossa, M.Sc.
PhD student in the group of Functional Genomics.
Proteomics for assessment of nanomaterial effects
Development of nanomaterial (NM) grouping strategies to facilitate NM risk assessment is indispensable due to the wide application of NMs in e.g. medicine, cosmetics, building materials and packaging. Furthermore, novel NMs are continuously developed, leading to an increased exposure of the public. Since the respiratory tract is considered the primary target organ for airborne NMs, the toxicological effect of NMs on alveolar macrophages (NR8383) and alveolar epithelial cells (RLE-6TN) is investigated within the NanoToxClass consortium using shotgun proteomics. The aim of this project is the identification of NM effects on the proteome, as well as the correlation of these effects to particular physicochemical properties of the NMs, e.g. size and composition. Furthermore, the integrative analysis of proteomics, metabolomics and transcriptomics data is planned to develop NM grouping strategies, thus facilitating future NM risk assessment.
- Ihling, C., Falvo, F., Kratochvil, I., Sinz, A., & Schäfer, M. (2015). Dissociation behavior of a bifunctional tempo-active ester reagent for peptide structure analysis by free radical initiated peptide sequencing (FRIPS) mass spectrometry. J Mass Spectrom, 50(2), 396-406
Posters & Talks
Kratochvil, I., Bannuscher, A., Hellack, B., Haase A., Schubert, K., von Bergen, M. (2019). Multi-Omics to Develop Nanomaterial Grouping Strategies for Risk Assessment. Poster presented at Proteomic Forum, Potsdam, Germany.
Kratochvil, I., Bannuscher, A., Kettler, K., Haase A., von Bergen, M., Schubert, K. (2018). Weighted Gene Correlation Network Analysis to develop nanomaterial grouping strategies. Talk at 9th International Conference on Nanotoxicology, Neuss, Germany.
Kratochvil, I., Bannuscher, A., Kettler, K., Haase A., Schubert, K., von Bergen, M. (2018). Weighted Gene Correlation Network Analysis as Grouping Strategy for Nanomaterial Risk Assessment in Alveolar Macrophages. Poster presented at European Mass Spectrometry Conference, Saarbrücken, Germany.
Kratochvil, I., Bannuscher, A., Haase A., Schubert K., von Bergen, M. (2018). Weighted Gene Correlation Network Analysis as Grouping Strategy for Nanomaterial Risk Assessment. Poster presented at Research Festival, Leipzig, Germany.
Kratochvil, I., Hofmann, T., Schlichting R., Escher E., Kalkhof, S., von Bergen, M. (2017). MEHP and MEOHP but not DEHP bind and activate the peroxisome proliferator-activated receptor γ. Poster presented at meeting of German Society of Mass Spectrometry, Kiel, Germany.