CV Stefan Tenzer


Stefan Tenzer studied biochemistry at the Eberhard Karls University in Tübingen. In 2005, he received his doctorate in biochemistry at the Institute of Cell Biology. His research focused on the cutting behavior of the 20S proteasome.

Since 2005 he has been working as a scientist at the Institute of Immunology at the University Medical Center of the Johannes Gutenberg University Mainz. In 2005 he became group leader for antigen processing and mass spectrometry. From 2005 to 2008 he was head of the Equipment Center for Mass Spectrometry and Protein Biochemistry within the Cluster of Excellence "Immunointervention". Since 2009 he is the head of the instrument center for mass spectrometry and protein biochemistry at the Research Center for Immunotherapy (FZI).

In 2016, Stefan Tenzer was appointed W2 professor for Quantitative Proteomics. Within the framework of various SFBs and SPPs, he successfully leads several projects and is available as a competent contact person for planning and performing mass spectrometric proteome analyses. Since 2020, he coordinates the Mainz research core DIASyM, which is funded by the BMBF initiative "Research Cores for Mass Spectrometry in Systems Medicine". He is Vice President of the German Society for Proteomics Research and since early 2021 member of the Executive Committee of the European Proteomics Organization. Stefan Tenzer and his group are working on the development of data-independent, ion mobility-based acquisition workflows that optimize sample processing, data processing, bioinformatic analyses, and statistical evaluation.

Selected publications:

  1. Navarro P, Kuharev J, Gillet LC, Bernhardt OM, MacLean B, Röst HL, Tate SA, Tsou CC, Reiter L, Distler U, Rosenberger G, Perez-Riverol Y, Nesvizhskii AI, Aebersold R, Tenzer S (2016) A multicenter study benchmarks software tools for label-free proteome quantification. Nat Biotechnol 34:1130-1136.
  2. Distler U, Kuharev J, Navarro P, Tenzer S (2016) Label-free quantification in ion mobility-enhanced data-independent acquisition proteomics.Nat Protoc 11:795-812.
  3. Distler U, Kuharev J, Navarro P, Levin Y, Schild H, Tenzer S (2014) Drift time-specific collision energies enable deep-coverage data-independent acquisition proteomics.Nat Methods 11:167-170.
  4. Tenzer S*, Docter D, Kuharev J, Musyanovych A, Fetz V, Hecht R, Schlenk F, Fischer D, Kiouptsi K, Reinhardt C, Landfester K, Schild H, Maskos M, Knauer SK, Stauber RH* (2013) Rapid formation of plasma protein corona critically affects nanoparticle pathophysiology. *corresponding authors Nat Nanotechnol 8:772-781.
  5. Adamopoulou E, Tenzer S, Hillen N, Klug P, Rota IA, Tietz S, Gebhardt M, Stevanovic S, Schild H, Tolosa E, Melms A, Stoeckle C (2013) Exploring the MHC-peptide matrix of central tolerance in the human thymus.Nat Commun 4:2039.
  6. Günther C, Martini E, Wittkopf N, Amann K, Weigmann B, Neumann H, Waldner MJ, Hedrick SM, Tenzer S, Neurath MF, Becker C (2011) Caspase-8 regulates TNF-α-induced epithelial necroptosis and terminal ileitis.Nature 477:335-339.
  7. Tenzer S, Docter D, Rosfa S, Wlodarski A, Kuharev J, Rekik A, Knauer SK, Bantz C, Nawroth T, Bier C, Sirirattanapan J, Mann W, Treuel L, Zellner R, Maskos M, Schild H, Stauber RH (2011) Nanoparticle Size Is a Critical Physicochemical Determinant of the Human Blood Plasma Corona: A Comprehensive Quantitative Proteomic Analysis. ACS Nano 5:7155-7167.
  8. Tenzer S, Wee E, Burgevin A, Stewart-Jones G, Friis L, Lamberth K, Chang CH, Harndahl M, Weimershaus M, Gerstoft J, Akkad N, Klenerman P, Fugger L, Jones EY, McMichael AJ, Buus S, Schild H, van Endert P, Iversen AK (2009) Antigen processing influences HIV-specific cytotoxic T lymphocyte immunodominance. Nat Immunol 10:636-646.
  9. Reineke J*, Tenzer S*, Rupnik M, Koschinski A, Hasselmayer O, Schrattenholz A, Schild H, von Eichel-Streiber C (2007) Autocatalytic cleavage of Clostridium difficile toxin B. *contributed equally. Nature 446:415-419.
  10. Tenzer S, Peters B, Bulik S, Schoor O, Lemmel C, Schatz MM, Kloetzel PM, Rammensee HG, Schild H, Holzhütter HG (2005) Modeling the MHC class I pathway by combining predictions of proteasomal cleavage, TAP transport and MHC class I binding. Cell Mol Life Sci 62:1025-1037.