Source: HMGU

Dr. Nikola Müller
Research Group Leader

Phone: +49 89 3187-1174
Building/Room: 58a / 111

Google Scholar Profile

ResearchGate Profile


  • Method development for time-resolved microarray analysis typically for cellular decisions, like differentiation, and cellular responses to external stimuli.
  • MicroRNA regulations of lung cancer cells in response to EpoR  (Lungsys Consortium)
  • Transcriptome time-resolved profiling of primary and liver tumor cells (Virtual Liver Consortium
  • Regulatory networks derived from mRNA and miRNA expressions
  • Single-cell analysis of hematopoietic/embryonic stem cell dynamics'


  • Sass S, Buettner F, Müller Nikola S., Theis FJ. (2013) »A modular framework for gene set analysis integrating multilevel omics data.« Nucleic Acids Res. 2013 Aug 23. pubmed
  • Freisinger T., Klünder B., Johnson J., Müller Nikola S., Pichler G., Beck G., Costanzo M., Boone C., Cerione R.A., Frey E., Wedlich-Söldner R. (2013). »Establishment of a robust single axis of cell polarity by coupling multiple positive feedback loops« Nat Commun. 4:1807 pubmed
  • Spira F.*, Müller Nikola S.*, Beck G., von Olshausen P., Beig J. and Wedlich-Söldner R. (2012).  »Patchwork organization of the yeast plasma membrane into numerous coexisting domains« Nat Cell Biol. 2012 Apr 29;14(6):640-8 pubmed DOI
  • Müller Nikola S., Wedlich-Söldner R and Spira F. (2012). »From mosaic to patchwork: »Matching lipids and proteins in membrane organization« Mol Membr Biol. 29(5):186-96 pubmed
  • Spira F., Dominguez-Escobar J., Müller Nikola S., Wedlich-Söldner S. (2012). »Visualization of Cortex Organization and Dynamics in Microorganisms, using Total Internal Reflection Fluorescence Microscopy«  Journal of Visualized Experiments, JoVE. Watch online 
  • Müller Nikola S.*, Haegler K.*, Shao J., Plant C. and Böhm C. (2011). »Weighted graph compression for parameter-free clustering with PaCCo« SIAM Data Mining 2011, Mesa, Arizona, USA.
  • Gormanns P.*, Müller Nikola S.*, Ditzen C., Wolf S., Holsboer F. and Turck C.W. (2011). »Phenome-transcriptome correlation unravels anxiety and depression related pathways« J. Psychiatric Research 45(7):973-9 pubmed 
  • Müller Nikola S., Krumsiek J., Böhm C. Theis F. and Meyer-Bäse A. (2011). »Gaussian graphical models reveal specific lipid correlations in Glioblastoma cells« SPIE Defense, Security, and Sensing. Orlando, USA. pdf 
  • Theis F., Müller Nikola S., Plant C. and Böhm C. (2010). »Robust second- order source separation identifies experimental responses in biomedical imaging« In Proc. LVA/ICA 2010, 466-473. Springer, St. Malo, France. pdf 
  • Böhm C., Haegler K., Müller Nikola S. and Plant C. (2009) »Coding cost for parameter-free outlier detection«. Proc. 15th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘09), Paris, France, 2009. details 
  • Haegler K., Müller Nikola S., Maccarrone G., Hunyadi-Gulyas E., Webhofer C., Filiou M.D., Zhang Y. and Turck C.W. (2009) »QuantiSpec– Quantitative mass spectrometry data analysis of (15)N-metabolically labeled proteins« J. Proteomics 71(6):601-8 pubmed 
  • Uwaje N.C.*, Müller Nikola S.*, Maccarrone G. and Turck C.W. (2007) »Interrogation of MS/MS search data with an pI Filter algorithm to increase protein identification success« Electrophoresis 28(12):1867–74 pubmed

We use cookies to improve your experience on our Website. We need cookies to continually improve our services, enable certain features, and when we embed third-party services or content, such as the Vimeo video player or Twitter feeds. In such cases, information may also be transferred to third parties. By using our website, you agree to the use of cookies. We use different types of cookies. You can personalize your cookie settings here:

Show detail settings
Please find more information in our privacy statement.

There you may also change your settings later.