'Spatial tissue proteomics to assess health and disease'

Host: Raja Nirujogi 

Venue: Small Lecture Theatre: Medical Sciences Institute, SLS 

Abstract: 

Formalin-fixed and paraffin-embedded (FFPE) tissues represent an invaluable resource for studying molecular mechanisms underlying diseases. The long archival times of FFPE tissue and the fact that proteins are largely stable therein make them ideal analytes for mass spectrometry driven discovery proteomics. Classical approaches have provided “averaged” descriptions of the disease related proteome and fail to characterize the critical disease promoting cell populations within the complex tissue environment. To address this, we have recently co-developed Deep Visual Proteomics (DVP) for image-guided tissue proteomics. DVP leverages high resolution microscopy and machine learning based image analysis to identify phenotypically distinct cell populations. Cells for proteomic profiling, discovered by supervised or unsupervised machine learning, are isolated in situ by automated laser microdissection and analyzed by ultra-sensitive mass spectrometry. In my presentation, I will provide an overview of our spatial tissue proteomics pipeline, discuss our DVP workflow, as well as future applications of tissue proteomics down to a few or even single cells. 

Bio: 

June 2021: Principal Investigator ‘Spatial Proteomics Group’ Max Delbrück Center for Molecular Medicine, Berlin, Germany. 

 2017-2021: Post-Doc, Mann lab (Clinical Proteomics) University of Copenhagen (NNF Center for Protein Research) From 2019: Marie Skłodowska-Curie     Postdoctoral Fellow 

 2012- 2016: PhD candidate (Dr. rer. nat.), Mann lab Max Planck Institute of Biochemistry, Munich, Germany 

 2009-2011: Master of Science Molecular Biotechnology TUM, Munich, Germany 

Deep Visual Proteomics defines single-cell identity and heterogeneity. Andreas Mund # 1, Fabian Coscia #, András Kriston , Réka Hollandi , Ferenc Kovács , Andreas-David Brunner, Ede Migh , Lisa Schweizer , Alberto Santos, Michael Bzorek , Soraya Naimy , Lise Mette Rahbek-Gjerdrum , Beatrice Dyring-Andersen, Jutta Bulkescher, Claudia Lukas, Mark Adam Eckert, Ernst Lengyel, Christian Gnann, Emma Lundberg.,  Peter Horvath and Matthias Mann. Nature Biotechnology. 2022. PMID:  35590073 

A streamlined mass spectrometry-based proteomics workflow for large-scale FFPE tissue analysis. F. Coscia.  S. Doll., J.M., Bech.,  L Schweizer.,  A. Mund.,  E. Lengyel., J. Lindebjerg.,  G.I. Madsen., J.M. Moreira. and M. Mann. The Journal of Pathology. 2020. PMID: 32154592 

Multi-level Proteomics Identifies CT45 as a Chemosensitivity Mediator and Immunotherapy Target in Ovarian Cancer. F. Coscia., E. Lengyel., J. Duraiswamy., B. Ashcroft., M. Bassani-Sternberg., M. Wierer., A. Johnson., K. Wroblewski., A. Montag., S.D. Yamada., B. López-Méndez., J. Nilsson., A. Mund., M. Mann and M. Curtis. Cell. 2018. PMID: 30241606