Platform for Proteomics

The lay summary for this project is work-in-progress.

  • Choi M, Carver J, Chiva C, Tzouros M, Huang T, Tsai T-H, et al. quant: A community resource of quantitative mass spectrometry–based proteomics datasets. Nat Methods. 2020;17: 981–984. doi:10.1038/s41592-020-0955-0
  • Čuklina J, Lee CH, Williams EG, Sajic T, Collins BC, Rodríguez Martínez M, et al. Diagnostics and correction of batch effects in large-scale proteomic studies: a tutorial. Mol Syst Biol. 2021;17: e10240. doi:10.15252/msb.202110240
  • Forny P, Bonilla X, Lamparter D, Shao W, Plessl T, Frei C, et al. Integrated multi-omics reveals anaplerotic rewiring in methylmalonyl-CoA mutase deficiency. Nature Metabolism. 2023;5: 80–95. doi:10.1038/s42255-022-00720-8
  • Fossati A, Li C, Uliana F, Wendt F, Frommelt F, Sykacek P, et al. PCprophet: a framework for protein complex prediction and differential analysis using proteomic data. Nat Methods. 2021;18: 520–527. doi:10.1038/s41592-021-01107-5
  • Frey K, Goetze S, Rohrer L, von Eckardstein A, Wollscheid B. Decoding Functional High-Density Lipoprotein Particle Surfaceome Interactions. Int J Mol Sci. 2022;23. doi:10.3390/ijms23169506
  • Frey K, Rohrer L, Potapenko A, Goetze S, von Eckardstein A, Wollscheid B. Mapping the dynamic cell surface interactome of high-density lipoprotein reveals Aminopeptidase N as modulator of its endothelial uptake. bioRxiv. 2023. p. 2023.01.03.522574. doi:10.1101/2023.01.03.522574
  • Goetze S, Frey K, Rohrer L, Radosavljevic S, Krützfeldt J, Landmesser U, et al. Reproducible Determination of High-Density Lipoprotein Proteotypes. J Proteome Res. 2021;20: 4974–4984. doi:10.1021/acs.jproteome.1c00429
  • Goetze S, Schüffler P, Athanasiou A, Koetemann A, Poyet C, Fankhauser CD, et al. Use of MS-GUIDE for identification of protein biomarkers for risk stratification of patients with prostate cancer. Clin Proteomics. 2022;19: 9. doi:10.1186/s12014-022-09349-x
  • Lee S, Weiss T, Bühler M, Mena J, Lottenbach Z, Wegmann R, et al. Targeting tumour-intrinsic neural vulnerabilities of glioblastoma. bioRxiv. 2022. p. 2022.10.07.511321. doi:10.1101/2022.10.07.511321
  • Nina Zila, Ossia M. Eichhoff, Irene Steiner, Thomas Mohr, Andrea Bileck, Phil F. Cheng, Alexander Leitner, Ludovic Gillet, Tatjana Sajic, Sandra Goetze, Betty Friedrich, Patricia Bortel, Johanna Strobl, René Reitermaier, Sabrina A. Hogan, Julia M. Martínez-Gómez, Ramon Staeger, Felix Tuchmann, Sophie Peters, Georg Stary, Mario Kuttke, Adelheid Elbe-Buerger, Christoph Hoeller, Rainer Kunstfeld, Wolfgang Weninger, Bernd Wollscheid, Reinhard Dummer, Lars E. French, Christopher Gerner, Ruedi Aebersold, Mitchell P. Levesque, Verena Paulitschke; Proteomic profiling of advanced melanoma patients to predict therapeutic response to anti-PD-1 therapy. Clin Cancer Res 2023; https://doi.org/10.1158/1078-0432.CCR-23-0562
  • Uliana F, Vizovisek M, Acquasaliente L, Ciuffa R, Fossati A, Frommelt F, Goetze S, et al. Mapping specificity, cleavage entropy, allosteric changes and substrates in blood proteases by a high-throughput protease screen. Nat Commun. 2021;12(1), 1693. https://doi.org/10.1038/s41467-021-21754-8
  • Wendt F, Milani ES, Wollscheid B. Elucidation of host-virus surfaceome interactions using spatial proteotyping. Adv Virus Res. 2021;109: 105–134. doi:10.1016/bs.aivir.2021.03.002
  • Xuan Y, Bateman NW, Gallien S, Goetze S, Zhou Y, Navarro P, et al. Standardization and harmonization of distributed multi-center proteotype analysis supporting precision medicine studies. Nat Commun. 2020;11: 5248. doi:10.1038/s41467-020-18904-9

Platform

Dr. Sandra Götze

ETH Zurich

Related Posts