Dr. Birte Hellwig
Kontakt
Technische Universität Dortmund
Fakultät Statistik
Statistische Methoden in der Genetik u. Chemometrie
Mathematik-Gebäude, Raum 728
44221 Dortmund
E-Mail: hellwigstatistik.tu-dortmundde
Tel.: +49 231 755 3118

- Dr. rer. nat (Statistik): Technische Universität Dortmund, 2018
Dissertation: Klassifikation von Brustkrebspatientinnen anhand vorausgewählter Gene mit charakteristischer Expressionsverteilung - Diplom (Statistik): Technische Universität Dortmund, 2009
Diplomarbeit: Genexpressionsdaten als Kovariablen in Überlebenszeitmodellen für Brustkrebspatientinnen
Wissenschaftliche Tätigkeit
- seit April 2018: Postdoc an der Fakultät Statistik
- Mai 2011 - März 2018: wissenschaftliche Mitarbeiterin und Promovierende an der Fakultät Statistik
- April 2009 - April 2011: wissenschaftliche Mitarbeiterin am Leibniz-Institut für Arbeitsforschung an der TU Dortmund (IfADo)
Aktuelles Forschungsprojekt
DFG-Projekt HE8508/2-1: Statistische Quantifizierung und Modellierung der Veränderungen von Genexpression und biologischen Prozessen in der Stammzelldifferenzierung, DFG-Einzelantrag zur Finanzierung der eigenen Stelle (Projektnummer 491064493, Laufzeit: 01/2022-12/2024)
Frühere Projektmitarbeit
- Juli 2017 - Juni 2019: BMBF-Verbundprojekt: StemNet: iPS cell derived human hepatocytes: improved reprogramming and development of in vitro disease models, Teilprojekt 4
- Mai 2011 - Juni 2017: DFG-Projekt RA 870/5-1: Verbesserte prognostische Signaturen aus Microarray-Studien durch Auswahl von Genen mit charakteristischen Verteilungen
Schwerpunkte der Forschung
- Statistische Analyse von Genexpressionsdaten
- Überlebenszeitanalyse
2023
Keller, M., Rohlf, K., Glotzbach, A., Leonhardt, G., Lüke, S., Derksen, K., Demirci, Ö., Demirci, Ö., Göçener, D., AlWahsh, M., Lambert, J., Lindskog, C., Schmidt, M., Brenner, W., Baumann, M., Zent, E., Zischinsky, M.-L., Hellwig, B., Madjar, K., … Marchan, R. (2023). Inhibiting the glycerophosphodiesterase EDI3 in ER-HER2+ breast cancer cells resistant to HER2-targeted therapy reduces viability and tumour growth. Journal of Experimental & Clinical Cancer Research, 42, Article 25. https://doi.org/10.1186/s13046-022-02578-w
Zang, J. C. S., May, C., Hellwig, B., Moser, D., Hengstler, J. G., Cole, S., Heinrichs, M., Rahnenführer, J., Marcus, K., & Kumsta, R. (2023). Proteome analysis of monocytes implicates altered mitochondrial biology in adults reporting adverse childhood experiences. Translational Psychiatry, 13, Article 31. https://doi.org/10.1038/s41398-023-02320-w
2022
Nell, P., Kattler, K., Feuerborn, D., Hellwig, B., Rieck, A., Salhab, A., Lepikhov, K., Gasparoni, G., Thomitzek, A., Belgasmi, K., Blüthgen, N., Morkel, M., Küppers-Munther, B., Godoy, P., Hay, D. C., Cadenas, C., Marchan, R., Vartak, N., Edlund, K., … Hengstler, J. G. (2022). Identification of an FXR-modulated liver-intestine hybrid state in iPSC-derived hepatocyte-like cells. Journal of Hepatology. In press. https://doi.org/10.1016/j.jhep.2022.07.009
2020
Lucendo-Villarin, B., Nell, P., Hellwig, B., Filis, P., Feuerborn, D., O’Shaughnessy, P. J., Godoy, P., Rahnenführer, J., Hengstler, J. G., Cherianidou, A., Sachinidis, A., Fowler, P. A., & Hay, D. C. (2020). Genome-wide expression changes induced by bisphenol A, F and S in human stem cell derived hepatocyte-like cells [OnlineRessource]. EXCLI Journal : Experimental and Clinical Sciences, 19, 1459–1476. https://doi.org/10.17179/excli2020-2934
2019
Cadenas, C., Vosbeck, S., Edlund, K., Grgas, K., Madjar, K., Hellwig, B., Adawy, A., Glotzbach, A., Stewart, J. D., Lesjak, M. S., Franckenstein, D., Claus, M., Hayen, H., Schriewer, A., Gianmoena, K., Thaler, S., Schmidt, M., Micke, P., Pontén, F., … Hengstler, J. G. (2019). LIPG-promoted lipid storage mediates adaptation to oxidative stress in breast cancer. International Journal of Cancer, 145(4), 901–915. https://doi.org/10.1002/ijc.32138
Hellwig, B. (2019). Highlight report: tumor infiltrating lymphocytes in breast cancer. EXCLI Journal : Experimental and Clinical Sciences, 18, 129–131. https://doi.org/10.17179/excli2018-2015
Klindt, C., Reich, M., Hellwig, B., Stindt, J., Rahnenführer, J., Hengstler, J. G., Köhrer, K., Schoonjans, K., Häussinger, D., & Keitel, V. (2019). The G protein-coupled bile acid receptor TGR5 (Gpbar1) modulates endothelin-1 signaling in liver [OnlineRessource]. Cells, 8(11), 1–21. https://doi.org/10.3390/cells8111467
2018
Godoy, P., Schmidt-Heck, W., Hellwig, B., Nell, P., Feuerborn, D., Rahnenführer, J., Kattler, K., Walter, J., Blüthgen, N., & Hengstler, J. G. (2018). Assessment of stem cell differentiation based on genome-wide expression profiles. Philosophical Transactions of the Royal Society of London B, 373(1750). https://doi.org/10.1098/rstb.2017.0221
Grinberg, M., Stöber, R., Albrecht, W., Edlund, K., Schug, M., Godoy, P., Cadenas, C., Marchan, R., Lampen, A., Braeuning, A., Buhrke, T., Leist, M., Oberemm, A., Hellwig, B., Kamp, H., Gardner, I., Escher, S., Taboureau, O., Aguayo-Orozco, A., … Hengstler, J. G. (2018). Toxicogenomics directory of rat hepatotoxicants in vivo and in cultivated hepatocytes. Archives of Toxicology, 92(12), 3517–3533. https://doi.org/10.1007/s00204-018-2352-3
2017
Gogiashvili, M., Edlund, K., Gianmoena, K., Marchan, R., Brik, A., Andersson, J. T., Lambert, J., Madjar, K., Hellwig, B., Rahnenführer, J., Hengstler, J. G., Hergenröder, R., & Cadenas, C. (2017). Metabolic profiling of ob/ob mouse fatty liver using HR-MAS 1H-NMR combined with gene expression analysis reveals alterations in betaine metabolism and the transsulfuration pathway. Analytical & Bioanalytical Chemistry, 409(6), 1591–1606. https://doi.org/10.1007/s00216-016-0100-1
Hellwig, B. (2017). Klassifikation von Brustkrebspatientinnen anhand vorausgewählter Gene mit charakteristischer Expressionsverteilung (Publisher’s Version) [Universitätsbibliothek Dortmund]. https://doi.org/10.17877/de290r-18677
2016
Hellwig, B., Madjar, K., Edlund, K., Marchan, R., Cadenas, C., Heimes, A.-S., Almstedt, K., Lebrecht, A., Sicking, I., Battista, M. J., Micke, P., Schmidt, M., Hengstler, J. G., & Rahnenführer, J. (2016). Epsin family member 3 and ribosome-related genes are associated with late metastasis in estrogen receptor-positive breast cancer and long-term survival in non-small cell lung cancer using a genome-wide identification and validation strategy. PLOS ONE, 11(12), 1–18. https://doi.org/10.1371/journal.pone.0167585
2015
Lohr, M., Hellwig, B., Edlund, K., Mattsson, J. S. M., Botling, J., Schmidt, M., Hengstler, J. G., Micke, P., & Rahnenführer, J. (2015). Identification of sample annotation errors in gene expression datasets. Archives of Toxicology, 89(12), 2265–2272. https://doi.org/10.1007/s00204-015-1632-4
2014
Cadenas, C., Sandt, L. van de, Edlund, K., Lohr, M., Hellwig, B., Marchan, R., Schmidt, M., Rahnenführer, J., Oster, H., & Hengstler, J. G. (2014). Loss of circadian clock gene expression is associated with tumor progression in breast cancer. Cell Cycle, 13(20), 3282–3291. https://doi.org/10.4161/15384101.2014.954454
Godoy, P., Cadenas, C., Hellwig, B., Marchan, R., Stewart, J., Reif, R., Lohr, M., Gehrmann, M., Rahnenführer, J., Schmidt, M., & Hengstler, J. G. (2014). Interferon-inducible guanylate binding protein (GBP2) is associated with better prognosis in breast cancer and indicates an efficient T cell response. Breast Cancer : The Journal of the Japanese Breast Cancer Society, 21(4), 491–499. https://doi.org/10.1007/s12282-012-0404-8
Lindskog, C., Fagerberg, L., Hallström, B., Edlund, K., Hellwig, B., Rahnenführer, J., Kampf, C., Uhlén, M., Pontén, F., & Micke, P. (2014). The lung-specific proteome defined by integration of transcriptomics and antibody-based profiling. The FASEB Journal / Federation of American Societies for Experimental Biology, 28(12), 5184–5196. https://doi.org/10.1096/fj.14-254862
2013
Botling, J., Edlund, K., Lohr, M., Hellwig, B., Holmberg, L., Lambe, M., Berglund, A., Ekman, S., Bergqvist, M., Pontén, F., König, A., Fernandes, O., Karlsson, M., Helenius, G., Karlsson, C., Rahnenführer, J., Hengstler, J. G., & Micke, P. (2013). Biomarker discovery in non–small cell lung cancer: integrating gene expression profiling, meta-analysis, and tissue microarray validation. Clinical Cancer Research, 19(1), 194–204. https://doi.org/10.1158/1078-0432.ccr-12-1139
Lohr, M., Edlund, K., Botling, J., Hammad, S., Hellwig, B., Othman, A., Berglund, A., Lambe, M., Holmberg, L., Ekman, S., Bergqvist, M., Pontén, F., Cadenas, C., Marchan, R., Hengstler, J. G., Rahnenführer, J., & Micke, P. (2013). The prognostic relevance of tumour-infiltrating plasma cells and immunoglobulin kappa C indicates an important role of the humoral immune response in non-small cell lung cancer. Cancer Letters, 333(2), 222–228. https://doi.org/10.1016/j.canlet.2013.01.036
2012
Cadenas, C., Vosbeck, S., Hein, E.-M., Hellwig, B., Langer, A., Hayen, H., Franckenstein, D., Büttner, B., Hammad, S., Marchan, R., Hermes, M., Selinski, S., Rahnenführer, J., Peksel, B., Török, Z., Vígh, L., & Hengstler, J. G. (2012). Glycerophospholipid profile in oncogene-induced senescence. Biochimica et Biophysica Acta : BBA, 1821(9), 1256–1268. https://doi.org/10.1016/j.bbalip.2011.11.008
Heise, T., Schug, M., Storm, D., Ellinger-Ziegelbauer, H., Ahr, H.-J., Hellwig, B., Rahnenführer, J., Ghallab, A., Guenther, G., Sisnaiske, J., Reif, R., Godoy, P., Mielke, H., Gundert-Remy, U., Lampen, A., Oberemm, A., & Hengstler, J. G. (2012). In vitro, in vivo correlation of gene expression alterations induced by liver carcinogens. Current Medicinal Chemistry, 19(11), 1721–1730. https://doi.org/10.2174/092986712799945049
Lohr, M., Köllmann, C., Freis, E., Hellwig, B., Hengstler, J. G., Ickstadt, K., & Rahnenführer, J. (2012). Optimal strategies for sequential validation of significant features from high-dimensional genomic data. Journal of Toxicology and Environmental Health A, 75(8–10), 447–460. https://doi.org/10.1080/15287394.2012.674912
Schmidt, M., Hellwig, B., Hammad, S., Othman, A., Lohr, M., Chen, Z., Böhm, D., Gebhard, S., Petry, I. B., Lebrecht, A., Cadenas, C., Marchan, R., Stewart, J. D., Solbach, C., Holmberg, L., Edlund, K., Kultima, H. G., Rody, A., Berglund, A., … Hengstler, J. G. (2012). A comprehensive analysis of human gene expression profiles identifies stromal immunoglobulin κ C as a compatible prognostic marker in human solid tumors. Clinical Cancer Research, 18(9), 2695–2703. https://doi.org/10.1158/1078-0432.ccr-11-2210
Siggelkow, W., Boehm, D., Gebhard, S., Battista, M., Sicking, I., Lebrecht, A., Solbach, C., Hellwig, B., Rahnenführer, J., Koelbl, H., Gehrmann, M., Marchan, R., Cadenas, C., Hengstler, J. G., & Schmidt, M. (2012). Expression of aurora kinase A is associated with metastasis-free survival in node-negative breast cancer patients [OnlineRessource]. BMC Cancer, 12(1), 1–11. https://doi.org/10.1186/1471-2407-12-562
2010
Brase, J. C., Schmidt, M., Fischbach, T., Sültmann, H., Bojar, H., Kölbl, H., Hellwig, B., Rahnenführer, J., Hengstler, J. G., & Gehrmann, M. C. (2010). ERBB2 and TOP2A in breast cancer: a comprehensive analysis of gene amplification, RNA levels, and protein expression and their influence on prognosis and prediction. Clinical Cancer Research, 16(8), 2391–2401. https://doi.org/10.1158/1078-0432.ccr-09-2471
Hellwig, B., Hengstler, J. G., Schmidt, M., Gehrmann, M. C., Schormann, W., & Rahnenführer, J. (2010). Comparison of scores for bimodality of gene expression distributions and genome wide evaluation of the prognostic relevance of high scoring genes. BMC Bioinformatics, 11, 276-1-276–18. https://doi.org/10.1186/1471-2105-11-276
2009
Freis, E., Selinski, S., Weibert, B., Krahn, U., Schmidt, M., Gehrmann, M. C., Hermes, M., Maccoux, L., West, J., Schwender, H., Rahnenführer, J., Hengstler, J. G., & Ickstadt, K. (2009). Effects of metagene calculation on survival: an integrative approach using cluster and promoter analysis. In M. Grzegorczyk, J. Rahnenführer, T. Manninen, C. Wiuf, H. Lähdesmäki, M. Ahdesmäki, M.-L. Linne, & O. Yli-Harja (Eds.), Sixth International Workshop on Computational Systems Biology (WCSB 2009) (Publisher’s Version, Vol. 48, pp. 47–50). TICSP.
- Data Science in Context (WiSe 2021/22)
- Introductory Case Studies (WiSe 2021/22)
- Übung zur Vorlesung Klinische Studien (SoSe 2021)
- Introductory Case Studies (WiSe 2020/21)
- Übung zur Vorlesung Klinische Studien (SoSe 2020)
- Übung zur Vorlesung Statistics in Toxicology (WiSe 2019/20)
- WRUMS-HelpDesk (WiSe 2019/20)