Doctoral Theses

2023

Tobias Jumel
High-Accuracy Quantitative Proteomics by LC-MS/MS and Data-Independent Acquisition
Technische Universität Dresden

2020

Bharath Kumar Raghuraman
Absolute quantification of enzymes involved in metabolic reprogramming in Caenorhabditis elegans
Technische Universität Dresden

2018

Alexander Milentyev
Proteomics of diatoms: discovery of polyamine modifications in biosilica associated proteins

Technische Universität Dresden

2017

Mukesh Kumar
MS Western: The Method for Targeted Multiplexed Absolute Quantification of Proteins by GeLC-MS/MS

Technische Universität Dresden

2013

Oksana Lavrynenko
Drosophila Ecdysteroidome by LC-MS/MS

Technische Universität Dresden

2012

Kai Schuhmann
Shotgun Lipidomics of Metabolic Disorders by High Resolution Mass Spectrometry
Technische Universität Dresden

Andrej Vasilj
Label-free Quantitative Mass Spectrometry for Proteomics
Technische Universität Dresden

Ronny Herzog
Novel Concepts for Lipid Identification from Shotgun Mass Spectra Using a Customized Query Language
Technische Universität Dresden

2009

Magno Junqueira
Systematic Characterization of Mammalian Protein Complexes by Shotgun Liquid Chromatography Tandem Mass Spectrometry.
Technische Universität Dresden

Natalie Wielsch
Optimized GeLC-MS/MS for bottom-up proteomics
Technische Universität Dresden

2007

Christer Ejsing
Molecular Characterization of the Lipidome by Mass Spectrometry
Technische Universität Dresden

2006

Vinzenz Link
Identification of Proteins Controlling Gastrulation Movements by a Proteomic Approach in Zebrafish
Technische Universität Dresden

2004

Anna Shevchenko
Characterization of Protein Complexes and Protein Interaction Networks
by Mass Spectrometry

Technische Universität Dresden

2003

Kim Ekroos
Characterization of Molecular Composition of Glycerophospholipids by Quadrupole Time-of-Flight Mass Spectrometry
Technische Universität Dresden

Adam Liska
Homology-Based Functional Proteomics by Mass Spectrometry and Advanced Informatics Methods
Technische Universität Dresden