Proteomics Fingerprinting

Proteomics is a relatively young discipline dealing with the complicated protein mixture in biological systems, for example the human body. Changes in the concentration of some protein species can often be directly linked to diseases, such as cancer. In this project we develop algorithms capable of identifying changes in the very high dimensional proteome data we are getting from clinical partners.

 

In particular, we are interested in tiny signals that are usually hidden in the noisy part of the data and not detectable by current approaches. Nevertheless, these very small signals are crucial for reliable classification of biological samples.

 

Our mathematical research is focussed on the development of a class of specific Bayesian classification schemes that are coupled to novel model discrimination approaches. For all our methods we put special emphasis on the applicability in clinical areas, i.e. the algorithms are designed to be simple, fast and reliable, with particular respect to sensitivity and specificity sufficient for clinical requirements.

 

The project is funded through grants from Microsoft Research, IBM and the International Max-Planck Research School "Computational Biology and Scientific Computing".

Selected Publications

  • Conrad, T. O. F. (2008) New Statistical Algorithms for the Analysis of Mass Spectrometry Time-Of-Flight Mass Data with Applications in Clinical Diagnostics. PhD thesis, Freie Universität Berlin.
  • Strenziok,R. and Hinz, S. and Wolf, C. and Conrad, T. O. F. and Krause, H. and Lingnau, A. and Lein, M. and Schostak, M. and Miller, K. and Schrader, M. (2009) Serum proteomic profiling by surface-enhanced laser desorption/ionization
    time-of-flight mass spectrometry in testicular germ cell cancer patients. World J of Urology .

 

  • Fiedler, G. M. and Leichtle, A. and Kase, J. and Baumann, S. and Ceglarek, U. and Felix, K. and Conrad, T. O. F. and Witzigmann, H. and Weimann, A. and Schütte, Ch. and Hauss, J. and Büchler, M. and Thiery, J. (2009) Serum Peptidome Profiling Revealed Platelet Factor 4 as a

  • Leichtle, A. and Nuoffer, J.-M. and Ceglarek, U. and Kase, J. and Conrad, T. O. F. and Witzigmann, H. and Thiery, J. and Fiedler, G. M. (2011) Serum amino acid profiles and their alterations in colorectal cancer. Metabolomics . ISSN 1573-3890

Head:

Christof Schütte

Project researchers

Dr. Tim Conrad, Axel Rack, Stephan Aiche, Pooja Gupta, Sandro Andreotti, Sharon Bruckner, Iliusi Vega