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Department of Statistics
Postdoc

Dr. Birte Hellwig

Contact

TU Dort­mund Uni­ver­sity
Department of Sta­tis­tics
Statistical Methods in Genetics and Chemometrics
Mathematics Building, Room 728
44221 Dortmund
Germany

E-Mail: hellwigstatistik.tu-dortmundde
Phone: +49 231 755 3118

Porträtfoto von Birte Hellwig © Birte Hellwig​/​privat
  • Dr. rer. nat. (Statistics), TU Dortmund University, 2018
    Thesis: Klassifikation von Brustkrebspatientinnen anhand vorausgewählter Gene mit charakteristischer Expressionsverteilung
  • Diploma (Statistics), TU Dortmund University, 2009
    Diploma Thesis: Genexpressionsdaten als Kovariablen in Überlebenszeitmodellen für Brustkrebspatientinnen
Scientific Work
  • since April 2018: Postdoc at the Department of Statistics
  • May 2011 - March 2018: Research Assistant and doctoral student at the Department of Statistics
  • April 2009 - April 2011: Research Assistant at Leibniz Research Centre for Working Environment and Human Factors (IfADo)
Current research project

DFG-Project HE8508/2-1: Statistical quantification and modelling of changes in gene expression and biological processes in stem cell differentiation, Individual grant for funding of own position (Project number 491064493, duration: 01/2022-12/2024)

Previous project work
  • July 2017 - June 2019: BMBF project: StemNet: iPS cell derived human hepatocytes: improved reprogramming and development of in vitro disease models, subproject 4
  • May 2011 - June 2017: DFG-Project RA 870/5-1: Improved prognostic signatures from microarray studies by selecting genes with characteristic distributions
Focus of research
  • Statistical analysis of gene expression data
  • Survival Analysis

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)
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