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Institut für Klinische Pathologie

Nachwuchsgruppe “MALDI imaging”

Welcome to the junior research group “MALDI imaging”.

We deploy mass spectrometry imaging (“MALDI imaging”) for spatially resolved metabolomic, lipidomic and proteomic approaches on solid tumors and their microenvironment in order to find molecular characteristics with diagnostic, prognostic or therapeutic potential. To achieve our goals, we establish reproducible and quality controlled experimental and computational workflows. For the latter, we develop open source computational mass spectrometry tools and analysis workflows in the Galaxy platform. We furthermore participate in the MALDISTAR project, which aims to improve standardization and reproducibility for MALDI imaging applications. 

Dr. Melanie Föll

Institute for Surgical Pathology
Faculty of Medicine - University of Freiburg
Breisacher Str. 115a
D-79106 Freiburg
Germany

Tel:  +49 761 270 80922
melanie.foell@mol-med.uni-freiburg.de
melanie.foell@uniklinik-freiburg.de

ORCID: 0000-0002-1887-7543
GitHub: foellmelanie
Twitter: @mcfoell

  • Spatially resolved metabolomics, lipidomics, proteomics
  • Tumor microenvironment and heterogeneity
  • Method establishment for mass spectrometry imaging (Quality control, standardization and reproducibility)
  • Mass spectrometry data science, open science and open data

Melanie Föll

Dr. rer. nat

melanie.foell@mol-med.uni-freiburg.de

Larissa Meyer

B. Sc.

larissa.meyer@uniklinik-freiburg.de

 

Open positions: Our group welcomes motivated scientists and clinicians. We currently have projects available for Bachelor, Master and Doctoral Medical Students.

  • Peter Bronsert Lab, Institute for Surgical Pathology, Medical Center, University of Freiburg
  • Oliver Schilling Lab, Institute for Surgical Pathology, Medical Center, University of Freiburg
  • Luciana Hannibal Lab, Department of Pediatrics, Medical Center, University of Freiburg
  • Freiburg Galaxy Team, Department of Computer Science, University of Freiburg
  • Karl Rohr Lab, Biomedical Computer Vision Group, BioQuant, Institute of Pharmacy and Molecular Biotechnology, Heidelberg University
  • Olga Vitek Lab, Khoury College of Computer Sciences, Northeastern University, Boston, USA
  • Galaxy-P Team, Department of Biochemistry, University of Minnesota, Minneapolis, USA
  • MALDISTAR project, Center for Mass Spectrometry and Optical Spectroscopy, Mannheim University of Applied Sciences & Center for Industrial Mathematics, University of Bremen

2021:

Serrano-Solano B, Föll MC, Gallardo-Alba C, Erxleben A, Rasche H, Hiltemann S, et al. Fostering accessible online education using Galaxy as an e-learning platform. Palagi PM, editor. PLOS Comput Biol. 2021 May 13;17(5):e1008923.

 

2020:

Guo D, Föll MC, Volkmann V, Enderle-Ammour K, Bronsert P, Schilling O, et al. Deep multiple instance learning classifies subtissue locations in mass spectrometry images from tissue-level annotations. Bioinformatics. 2020 Jul;36(Supplement_1):i300–8.
 

2019:

Föll MC, Moritz L, Wollmann T, Stillger MN, Vockert N, Werner M, et al. Accessible and reproducible mass spectrometry imaging data analysis in Galaxy. GigaScience. 2019 Dec 1;8(12).

 

2018:

Oria VO, Bronsert P, Thomsen AR, Föll MC, Zamboglou C, Hannibal L, et al. Proteome Profiling of Primary Pancreatic Ductal Adenocarcinomas Undergoing Additive Chemoradiation Link ALDH1A1 to Early Local Recurrence and Chemoradiation Resistance. Transl Oncol. 2018 Dec;11(6):1307–22.

 

Föll MC, Fahrner M, Oria VO, Kühs M, Biniossek ML, Werner M, et al. Reproducible proteomics sample preparation for single FFPE tissue slices using acid-labile surfactant and direct trypsinization. Clin Proteomics. 2018 Dec;15(1):11.

 

Föll MC, Fahrner M, Gretzmeier C, Thoma K, Biniossek ML, Kiritsi D, et al. Identification of tissue damage, extracellular matrix remodeling and bacterial challenge as common mechanisms associated with high-risk cutaneous squamous cell carcinomas. Matrix Biol. 2018 Mar;66:1–21.
 

Müller AK, Föll M, Heckelmann B, Kiefer S, Werner M, Schilling O, et al. Proteomic Characterization of Prostate Cancer to Distinguish Nonmetastasizing and Metastasizing Primary Tumors and Lymph Node Metastases. Neoplasia. 2018;20(2):140–51.

Kontakt Forschung

Generelle Anfragen zur Forschung am Institut
pathologie.projektkoord@uniklinik-freiburg.de

Forschungsverbünde:

Institut für Klinische Pathologie
Universitätsklinikum Freiburg
Breisacher Str. 115a
79106 Freiburg
Tel.: +49 761 270 80060 (Sekretariat)
Fax: +49 761 270-80040
pathologie.direktion@uniklinik-freiburg.de

Postanschrift:
Postfach 214
79002 Freiburg