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Fakultät Statistik
Postdoc

Dr. Franziska Kappenberg

Kontakt

Technische Universität Dortmund
Fakultät Statistik
Statistische Me­tho­den in der Genetik u. Chemometrie
Mathematik-Gebäude, Raum 713
44221 Dortmund

E-Mail: kappenbergstatistik.tu-dortmundde
Tel.: +49 231 755 5908

Porträtfoto von Franziska Kappenberg © Franziska Kappenberg​/​privat
  • Dr. rer. nat (Statistik): Technische Universität Dortmund, 2021
    Dissertation: Statistical approaches for calculating alert concentrations from cytotoxicity and gene expression data
  • M.Sc. (Statistik): Technische Universität Dortmund, 2018
    Masterarbeit: Vorhersage von Lebertoxizität aus Genexpressionsdaten
  • B.Sc. (Mathematik): Rheinische Friedrich-Wilhelms-Universität Bonn, 2015
    Bachelorarbeit: Das Gesetz des iterierten Logarithmus für die Irrfahrt auf dem unendlichen Perkolationscluster

Wissenschaftliche Tätigkeit

  • seit April 2021: Postdoc an der Fakultät Statistik
  • April 2018 - März 2021: wissenschaftliche Mitarbeiterin und Promovierende an der Fakultät Statistik
  • August 2017 - März 2017: wissenschaftliche Hilfskraft an der Fakultät Statistik
  • Analyse von Genexpressionsdaten
  • Statistische Methoden in der Toxikologie
  • Modellierung von Dosis-Wirkungs-Kurven
  • Klassifikation und Prädiktion von Leber- und Neurotoxizität

Mitarbeit in Drittmittelprojekten:

  • Seit 2021: DFG-gefördertes Graduiertenkolleg 2624 "Biostatistical Methods for High-Dimensional Data in Toxicology"
  • 2020: BMBF-Projekt "SysDT"
  • 2018-2020: BMBF-Projekt "LivSys Transfer"

ORCiD
GoogleScholar

2024

Ghallab, A., González Leiva, D. F., Strängberg, E., Hofmann, U., Myllys, M., Hassan, R., Hobloss, Z., Brackhagen, L., Begher-Tibbe, B., Duda, J. C., Drenda, C., Kappenberg, F., Reinders, J., Friebel, A., Vucur, M., Turajski, M., Seddek, A., Abbas, T., Abdelmageed, N., … Hengstler, J. G. (2024). Inhibition of the renal apical sodium dependent bile acid transporter prevents cholemic nephropathy in mice with obstructive cholestasis. Journal of Hepatology, 80(2), 268–281. https://doi.org/10.1016/j.jhep.2023.10.035

Kappenberg, F., Küthe, B., & Rahnenführer, J. (2024). MoS-TEC: A toxicogenomics database based on model selection for time-expression curves. Computational Toxicology [ISSN: 2468-1113], 30, 100313. https://doi.org/10.1016/j.comtox.2024.100313

2023

Almstedt, K., Krauthauser, L., Kappenberg, F., Wagner, D.-C., Heimes, A.-S., Battista, M. J., Anic, K., Krajnak, S., Lebrecht, A., Schwab, R., Brenner, W., Weikel, W., Rahnenführer, J., Hengstler, J. G., Roth, W., Hasenburg, A., Stewen, K., & Schmidt, M. (2023). Discordance of HER2-low between primary tumors and matched distant metastases in breast cancer. Cancers, 15(5), Article 1413. https://doi.org/10.3390/cancers15051413

Cherianidou, A., Kappenberg, F., Seidel, F., Acharya, A., Papazoglou, P., Srinivasan, S. P., Hescheler, J., Peng, L., Leist, M., Hengstler, J. G., Rahnenführer, J., & Sachinidis, A. (2023). Transcriptome-based prediction of drugs, inhibiting cardiomyogenesis in human induced pluripotent stem cells. Cell Death Discovery, 9, Article 321. https://doi.org/10.1038/s41420-023-01616-6

Duda, J. C., Drenda, C., Kästel, H., Rahnenführer, J., & Kappenberg, F. (2023). Benefit of using interaction effects for the analysis of high-dimensional time-response or dose-response data for two-group comparisons. Scientific Reports, 13(1), Article 20804. https://doi.org/10.1038/s41598-023-47057-0

Kappenberg, F., Duda, J. C., Schürmeyer, L., Gül, O., Brecklinghaus, T., Hengstler, J. G., Schorning, K., & Rahnenführer, J. (2023). Guidance for statistical design and analysis of toxicological dose–response experiments, based on a comprehensive literature review. Archives of Toxicology, 97(10), 2741–2761. https://doi.org/10.1007/s00204-023-03561-w

Kappenberg, F., & Rahnenführer, J. (2023). Information sharing in high-dimensional gene expression data for improved parameter estimation in concentration-response modelling. PLoS ONE, 18(10), Article e0293180. https://doi.org/10.1371/journal.pone.0293180

Seidel, F., Kappenberg, F., Fayyaz, S., Scholtz-Illigens, A., Cherianidou, A., Derksen, K., Nell, P., Marchan, R., Edlund, K., Leist, M., Sachinidis, A., Rahnenführer, J., Kreiling, R., & Hengstler, J. G. (2023). Risk assessment of parabens in a transcriptomics-based in vitro test. Chemico-Biological Interactions, 384, Article 110699. https://doi.org/10.1016/j.cbi.2023.110699

Stolte, M., Albrecht, W., Brecklinghaus, T., Gründler, L., Chen, P., Hengstler, J. G., Kappenberg, F., & Rahnenführer, J. (2023). Classification of hepatotoxicity of compounds based on cytotoxicity assays is improved by additional interpretable summaries of high-dimensional gene expression data. Computational Toxicology, 28, Article 100288. https://doi.org/10.1016/j.comtox.2023.100288

2022

Almstedt, K., Heimes, A.-S., Kappenberg, F., Battista, M. J., Lehr, H.-A., Krajnak, S., Lebrecht, A., Gehrmann, M., Stewen, K., Brenner, W., Weikel, W., Rahnenführer, J., Hengstler, J. G., Hasenburg, A., & Schmidt, M. (2022). Long-term prognostic significance of HER2-low and HER2-zero in node-negative breast cancer. The European Journal of Cancer, 173, 10–19. https://doi.org/10.1016/j.ejca.2022.06.012

Brecklinghaus, T., Albrecht, W., Duda, J. C., Kappenberg, F., Gründler, L., Edlund, K., Marchan, R., Ghallab, A., Cadenas, C., Rieck, A., Vartak, N., Tolosa, L., Castell, J. V., Gardner, I., Halilbasic, E., Trauner, M., Ullrich, A., Zeigerer, A., Demirci Turgunbayer, Ö., … Hengstler, J. G. (2022). In vitro/in silico prediction of drug induced steatosis in relation to oral doses and blood concentrations by the Nile Red assay. Toxicology Letters, 368, 33–46. https://doi.org/10.1016/j.toxlet.2022.08.006

Brecklinghaus, T., Albrecht, W., Kappenberg, F., Duda, J. C., Vartak, N., Edlund, K., Marchan, R., Ghallab, A., Cadenas, C., Günther, G., Leist, M., Zhang, M., Gardner, I., Reinders, J., Russel, F. GM., Foster, A. J., Williams, D. P., Damle-Vartak, A., Grandits, M., … Hengstler, J. G. (2022). The hepatocyte export carrier inhibition assay improves the separation of hepatotoxic from non-hepatotoxic compounds. Chemico-Biological Interactions, 351, Article 109728. https://doi.org/10.1016/j.cbi.2021.109728

Brecklinghaus, T., Albrecht, W., Kappenberg, F., Duda, J. C., Zhang, M., Gardner, I., Marchan, R., Ghallab, A., Turgunbayer, Ö. D., Rahnenführer, J., & Hengstler, J. G. (2022). Influence of bile acids on the cytotoxicity of chemicals in cultivated human hepatocytes. Toxicology in Vitro, 81, Article 105344. https://doi.org/10.1016/j.tiv.2022.105344

Cherianidou, A., Seidel, F., Kappenberg, F., Dreser, N., Blum, J., Waldmann, T., Blüthgen, N., Meisig, J., Madjar, K., Henry, M., Rotshteyn, T., Marchan, R., Edlund, K., Leist, M., Rahnenführer, J., Sachinidis, A., & Hengstler, J. G. (2022). Classification of developmental toxicants in a human iPSC transcriptomics-based test. Chemical Research in Toxicology, 35(5), 760–773. https://doi.org/10.1021/acs.chemrestox.1c00392

Duda, J. C., Kappenberg, F., & Rahnenführer, J. (2022). Model selection characteristics when using MCP‐Mod for dose–response gene expression data. Biometrical Journal, 64(5), 883–897. https://doi.org/10.1002/bimj.202000250

Ghallab, A., Hassan, R., Hofmann, U., Friebel, A., Hobloss, Z., Brackhagen, L., Begher-Tibbe, B., Myllys, M., Reinders, J., Overbeck, N. C., Sezgin, S., Zühlke, S., Seddek, A., Murad, W., Brecklinghaus, T., Kappenberg, F., Rahnenführer, J., González Leiva, D. F., Goldring, C., … Hengstler, J. G. (2022). Interruption of bile acid uptake by hepatocytes after acetaminophen overdose ameliorates hepatotoxicity [OnlineRessource]. Journal of Hepatology, 77(1), 71–83. https://doi.org/10.1016/j.jhep.2022.01.020

Möllenhoff, K., Schorning, K., Kappenberg, F., & Kappenberg, F. (2022). Identifying alert concentrations using a model‐based bootstrap approach. Biometrics [ISSN: 0006-341X]. Published. https://doi.org/10.1111/biom.13799

Seidel, F., Cherianidou, A., Kappenberg, F., Marta, M., Dreser, N., Blum, J., Waldmann, T., Blüthgen, N., Meisig, J., Madjar, K., Henry, M., Rotshteyn, T., Scholtz-Illigens, A., Marchan, R., Edlund, K., Leist, M., Rahnenführer, J., Sachinidis, A., & Hengstler, J. G. (2022). High accuracy classification of developmental toxicants by in vitro tests of human neuroepithelial and cardiomyoblast differentiation. Cells, 11(21), Article 3404. https://doi.org/10.3390/cells11213404

2021

Ghallab, A., Myllys, M., Friebel, A., Duda, J. C., Edlund, K., Halilbasic, E., Vucur, M., Hobloss, Z., Brackhagen, L., Begher-Tibbe, B., Hassan, R., Burke, M., Genc, E., Frohwein, L. J., Hofmann, U., Holland, C. H., González Leiva, D. F., Keller, M., Seddek, A., … Hengstler, J. G. (2021). Spatio-temporal multiscale analysis of Western diet-fed mice reveals a translationally relevant sequence of events during NAFLD progression [OnlineRessource]. Cells, 10(10), Article 2516. https://doi.org/10.3390/cells10102516

Kappenberg, F., Grinberg, M., Jiang, X., Kopp-Schneider, A., Hengstler, J. G., & Rahnenführer, J. (2021). Comparison of observation-based and model-based identification of alert concentrations from concentration–expression data. Bioinformatics, 37(14), 1990–1996. https://doi.org/10.1093/bioinformatics/btab043

Kappenberg, F., Rahnenführer, J., & Schorning, K. (2021). Statistical approaches for calculating alert concentrations from cytotoxicity and gene expression data (Publisher’s Version) [Universitätsbibliothek Dortmund]. https://doi.org/10.17877/de290r-22150

2020

Kappenberg, F., Brecklinghaus, T., Albrecht, W., Blum, J., van der Wurp, C., Leist, M., Hengstler, J. G., & Rahnenführer, J. (2020). Handling deviating control values in concentration-response curves. Archives of Toxicology, 94(11), 3787–3798. https://doi.org/10.1007/s00204-020-02913-0

Kappenberg, F., & Rahnenführer, J. (2020). Dose‐response analysis using R , Ritz, C. , Jensen, S. M. , Gerhard, D. , Streibig, J. C. (2019). Boca Raton, FL: CRC Press, 214 pages. ISBN: 978‐1‐138‐03431‐0.: book review [Review of Dose‐response analysis using R , Ritz, C. , Jensen, S. M. , Gerhard, D. , Streibig, J. C. (2019). Boca Raton, FL: CRC Press, 214 pages. ISBN: 978‐1‐138‐03431‐0.: book review]. Biometrical Journal, 62(4), 1124–1125. Wiley-VCH. https://doi.org/10.1002/bimj.202000099

2019

Albrecht, W., Kappenberg, F., Brecklinghaus, T., Stöber, R., Marchan, R., Zhang, M., Ebbert, K., Kirschner, H., Grinberg, M., Leist, M., Moritz, W., Cadenas, C., Ghallab, A., Reinders, J., Vartak, N., Thriel, C. van, Golka, K., Tolosa, L., Castell, J. V., … Hengstler, J. G. (2019). Prediction of human drug-induced liver injury (DILI) in relation to oral doses and blood concentrations. Archives of Toxicology, 93(6), 1609–1637. https://doi.org/10.1007/s00204-019-02492-9

Krebs, A., Nyffeler, J., Karreman, C., Schmidt, B. Z., Kappenberg, F., Mellert, J., Pallocca, G., Pastor, M., Rahnenführer, J., & Leist, M. (2019). Determination of benchmark concentrations and their statistical uncertainty for cytotoxicity test data and functional in vitro assays. Alternatives to Animal Experimentation, 37(1), 155–163. https://doi.org/10.14573/altex.1912021

2018

Gu, X., Albrecht, W., Edlund, K., Kappenberg, F., Rahnenführer, J., Leist, M., Moritz, W., Godoy, P., Cadenas, C., Marchan, R., Brecklinghaus, T., Pardo, L. T., Castell, J. V., Gardner, I., Han, B., Hengstler, J. G., & Stoeber, R. (2018). Relevance of the incubation period in cytotoxicity testing with primary human hepatocytes. Archives of Toxicology, 92(12), 3505–3515. https://doi.org/10.1007/s00204-018-2302-0

 

  • SoSe 2024: Seminar "Clinical Prediction Models"
  • WiSe 2023/2024: "Statistics in Toxicology I (Modelling)", Übung zu "Statistics in Toxicology II (Testing)"
  • SoSe 2023: Übung zu "Klinische Studien", Seminar "Multiples Testen in der Biostatistik"
  • WiSe 2022/2023: "Introductory Case Studies"
  • SoSe 2022: "Statistics in Toxicology I (Modelling)"
  • WiSe 2021/2022 Übung zu "Statistics in Genetics (Bioinformatics)"
  • SoSe 2021: "Statistics in Toxicology I (Modelling)"
  • WiSe 2020/2021: Mitbetreuung von "Fallstudien I"
  • SoSe 2020: Übung zu "Klinische Studien", Mitbetreuung des Seminars "Biostatistik"
  • WiSe 2019: Übung zu "Statistics in Toxicology"
  • WiSe 2018/2019: Mitbetreuung des Seminars "Statistik in der Toxikologie"