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Research Most
biological processes are mediated via protein
complexes. Hence, to understand molecular events under normal
physiological conditions, as well as in disease, it is necessary to
identify and
characterise the protein complexes involved.
It is
the aim of our work to isolate native protein
complexes, to identify their components, to characterise their function
and
structure. We have established a systematic platform for the
isolation
(via affinity-purification methods, e.g. Tandem affinity purification =
TAP) of cell organelles and large
protein
complexes in their native form. The individual components of these
complexes
are identified using mass-spectrometry techniques (in collaboration
with the
MS group, MPI-MG). The function of the complexes is determined using
an RNA
interference
(RNAi) screen and genetic methods.
The first large protein complex we isolated the centrosome from the early syncytial stages of the Drosophila embryo. We affinity purified this organelle and identified the majority of its components. Work is under way to biochemically and functionally characterise these proteins and their human homologues. The second group of
protein complexes we are studying are regulatory protein kinases,
signalling molecules and their interacting partners. These
complexes play a central role in cancer
development. We are analysing the functinonal state of
regulatory protein kinase
complexes in cancer cells and
cancer tissues. The molecular analysis of the events underlaying
tumorigenesis will lead to development of novel approaches
in cancer diagnosis and treatment.
In the second area we have started a new project that aims at the characterisation of cancer mutations and their functional consequence on protein complex assembly and their contribution to tumorigenesis. The MUTANOM project involves a consortium of 11 different groups in the field of cancer research, functional genomics, proteomics, modelling and translational research. It the major aim of the project to develop predictive models for the clinical use of chemotherapeutics, assay environmental impact on diseases as well as for predicting disease progression in general. Is is our goal to translate our modelling approach and experimental results to the clinical sector/Public Health for improved prevention, diagnosis treatment and new drug target identification.
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last updated: 22 June,
2009
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