Staff

Dr. Nikola Müller
Group Leader Computational Cell Maps

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

Research

  • 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'

Publications

  • 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