After studying chemistry at the University of Cologne, Professor Küster obtained his doctorate in biochemistry at the University of Oxford. He subsequently worked as a postdoctoral researcher in Heidelberg, Germany, and Odense, Denmark. Prior to becoming a full professor at TUM and until 2007 he was Vice President of Cellzome AG, a Heidelberg-based biotech company. Professor Küster is the Chair of the TUM Department of Biosciences, a member of the scientific council of the TUM Graduate School and co-director of the Bavarian Biomolecular Mass Spectrometry Center. He is a member of major research consortia including the SFBs 924, 1309 and 1321, the Excellence Cluster CiPSM, the German Consortium for Translational Cancer Research (DKTK) and the EU project EPIC-XS. Professor Küster is one of the founders of the biotech company OmicScouts GmbH.
2019 Life Science Award of the German Society for mass spectrometry
2015 Discovery in Proteomic Sciences Award, Human Proteome Organization
2014 Heinz Maier-Leibnitz Medal, TUM
1998 Long-term fellow, European Molecular Biology Organization
1998 Mattauch-Herzog Award, German Mass Spectrometry Society
Most of our research builds on the powerful combination of chemistry, biochemistry, mass spectrometry and bioinformatics. We develop novel analytical methods for quantitative proteome research notably for high throughput applications and the analysis of post translational protein modifications (PTMs). In our chemical biology efforts, we elucidate the selectivity of drug-target interactions on a proteome-wide scale, investigate the cellular mechanisms by which drugs exert their function and identify mechanisms of cancer therapy resistance. In addition, we investigate phosphoproteomic signaling events as biomarkers for patient stratification, as well as indicators of drug effectiveness and treatment response. Our bioinformatic flagship project is ProteomicsDB that offers open access to data analytics on large-scale proteomics and transcriptomics projects. Right now, we are moving into clinical proteomics with the aim to assist therapeutic decision making in molecular tumor boards.
- The target landscape of clinical kinase drugs. Science 358 (6367), 2017, eaan4368.
- ProteomicsDB. Nucleic Acids Research 46 (D1), 2017, D1271-D1281.
- Pharmacoproteomic characterisation of human colon and rectal cancer. Molecular Systems Biology 13 (11), 2017, 951.
- Building ProteomeTools based on a complete synthetic human proteome. Nature Methods 14 (3), 2017, 259-262.
- Chemical Proteomics and Structural Biology Define EPHA2 Inhibition by Clinical Kinase Drugs. ACS Chemical Biology 11 (12), 2016, 3400-3411.
- Optimized Chemical Proteomics Assay for Kinase Inhibitor Profiling. Journal of Proteome Research 14 (3), 2015, 1574-1586.
- Mass-spectrometry-based draft of the human proteome. Nature 509 (7502), 2014, 582-587.
- A large synthetic peptide and phosphopeptide reference library for mass spectrometry–based proteomics. Nature Biotechnology 31 (6), 2013, 557-564.
- Quantitative chemical proteomics reveals mechanisms of action of clinical ABL kinase inhibitors. Nature Biotechnology 25 (9), 2007, 1035-1044.
- Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning. Nature Methods 16 (6), 2019, 509-518 more… BibTeX Full text ( DOI )
- MOGSA: Integrative Single Sample Gene-set Analysis of Multiple Omics Data. Molecular & Cellular Proteomics 18 (8 suppl 1), 2019, S153--S168 more… BibTeX Full text ( DOI )
- Challenges in Clinical Metaproteomics Highlighted by the Analysis of Acute Leukemia Patients with Gut Colonization by Multidrug-Resistant Enterobacteriaceae. Proteomes 7 (1), 2019, 2 more… BibTeX Full text ( DOI )
- Chemoproteomic Selectivity Profiling of PIKK and PI3K Kinase Inhibitors. ACS Chemical Biology 14 (4), 2019, 655-664 more… BibTeX Full text ( DOI )
- ProteomicsDB: a multi-omics and multi-organism resource for life science research. Nucleic Acids Research, 2019 more… BibTeX Full text ( DOI )
- Characterization of Drug-Protein Interactions by Chemoproteomics. In: Proteomics for Biological Discovery. John Wiley & Sons, Inc., 2019 more… BibTeX Full text ( DOI )
- CiRCus: A Framework to Enable Classification of Complex High-Throughput Experiments. Journal of Proteome Research 18 (4), 2019, 1486-1493 more… BibTeX Full text ( DOI )
- A deep proteome and transcriptome abundance atlas of 29 healthy human tissues. Molecular Systems Biology 15 (2), 2019 more… BibTeX Full text ( DOI )
- TMT Labeling for the Masses: A Robust and Cost-efficient, In-solution Labeling Approach. Molecular & Cellular Proteomics 18 (7), 2019, 1468-1478 more… BibTeX Full text ( DOI )
- Proteomics Is Not an Island: Multi-omics Integration Is the Key to Understanding Biological Systems. Molecular & Cellular Proteomics 18 (8 suppl 1), 2019, S1-S4 more… BibTeX Full text ( DOI )