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Welcome to the chair of Proteomics and Bioanalytics

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The chair of Proteomics and Bioanalytics at the Technische Universität München comprises an international research team with a focus on proteomics, chemical biology and biomarker discovery. Since its inception in September 2007, the group is lead by Prof. Bernhard Küster who is also a member of the Excellence Cluster CIPSM (Centre for Integrated Protein Science Munich) and the Collaborative Research Centre 824 (Imaging for Selection, Monitoring and Individualisation of Cancer Therapies).
Most of our research builds on the powerful combination of affinity chromatography and quantitative mass spectrometry along with sophisticated bioinformatics tools. We develop novel analytical methods for quantitative proteome research notably for high throughput applications, the analysis of post translational protein modifications and protein interactions. In our chemical biology efforts, we elucidate the selectivity of drug-target interactions on a proteome-wide scale and investigate the cellular mechanisms by which drugs exert their function. The biomarker discovery projects focus on cancer biology and include the development of biosensors for early diagnosis. The infrastructure that facilitates our research comprises modern laboratory space including mammalian cell culture, organic chemistry, state of the art chromatographic and mass spectrometric equipment as well as a suite of relational databases and bioinformatics software.

Chair of Proteomics and Bioanalytics

Chair of Proteomics and Bioanalytics

NEWS

13 October 2011

TUM and Oxford scientists team up for the identification of novel drug targets and biomarkers in head & neck cancer.

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25 April 2011

Chair of proteomics acquires 2.5 M€ large scale equipment grant for interdisciplinary research

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29 March 2011

New O-GlcNAc research paper in JASMS

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26 November 2010

Life science teaching award for Bernhard Kuster

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09 November 2010

New research paper in Molecular and Cellular Proteomics: Confident phosphorylation site localization using the Mascot Delta Score

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