The physical properties of glycerophospholipids (GPLs) are not only determined by the head group (HG), but also by their fatty acid (FA) chains, which affect their distribution and function within membranes in the cell. Understanding the microheterogenity of lipid membranes on a molecular level requires qualitative and quantitative characterization of individual lipids and identification of their FA moieties. The aim of my study was to introduce the new technology of multiple precursor ion scanning (MPIS) on a QSTAR Pulsar time-of-flight mass spectrometer (QqTOF) to analyze lipids. Detailed information on fatty acid composition of individual GPL molecules could be obtained in parallel with conventional profiling of lipid classes, and this could be done by direct analysis of total lipid extracts. This method was termed Fatty Acid Scanning (FAS) and Head Group Scanning HGS, respectively. In this way the molecular GPL composition of total lipid extracts could be charted in a single analysis accurately and rapidly at a low picomole concentration level. Furthermore, combining FAS and HGS together with ion trap MS3 analysis allowed complete charting of the molecular composition of PCs, including quantification of their positional isomers, thus providing a detailed and comprehensive characterization of molecular composition of the pool of PCs. Development of the Lipid Profiler software allowed full automation and rapid processing of complex data, including identification and quantification of molecular GPLs. This approach was evaluated by preliminary applications. First, the molecular composition of PCs of total lipid extracts of MDCK cells and of human red blood cells (RBC) could accurately be charted. Significant presence of positional isomers was observed increasing the total number of individual PC species close to one hundred. Secondly, the molecular PC and SM species distribution in detergent resistant membranes (DRMs) prepared by Triton X-100 DRMs were analyzed and were found to be enriched in distinct GPLs. The distribution in PCs and SMs of Triton X-100 DRMs of RBC were compared with those of the DRMs of MDCK cells. Finally, combining the use of a 96 well plate and a robotic system demonstrated that these analyses can be automated and analyzed with high throughput. This system we termed Shotgun Lipidomics. Taken together, this mass spectrometric methodology provides rapid and detailed insight into the distribution of the molecular GPLs of membranes and membrane sub-fractions.

Das Biopolymer-produzierende Knallgasbakterium Ralstonia eutropha H16 gilt mit seinem außergewöhnlichen Stoffwechsel als vielversprechender Produktionsstamm für die weiße Biotechnologie. Es wächst auf einer Vielzahl organischer Substrate sowie chemolithoautotroph mit H2 und CO2 als einzige Energie- bzw. Kohlenstoffquelle. Unter anaeroben Bedingungen ist es zudem zur Denitrifikation befähigt. In dieser Arbeit wurde das Proteinprofil von R. eutropha unter chemolithoautotrophen sowie anaeroben Bedingungen mittels GeLC-MS/MS untersucht. Beide Proteomstudien offenbarten, dass die Nutzung unterschiedlicher Elektronendonoren bzw. -akzeptoren mit zahlreichen Veränderungen im Proteinbestand der Zellen einherging. Hierbei waren neben Proteinen metabolischer und Transportprozesse auch jene der Zellbewegung betroffen. Die Ergebnisse stellen im Vergleich zu vorangegangenen Studien den bisher umfassendsten Überblick zum Proteinbestand beim H2-basierten sowie anaeroben Wachstum in R. eutropha dar. Von besonderer Bedeutung war dabei das Einbinden der Analyse der Membran als Ort wichtiger Energie- und Transportprozesse. Besonderes Interesse galt einem unter H2/CO2-Bedingungen abundanten Zweikomponentensystem. Sequenzvergleiche zeigten Ähnlichkeit zum Regulationssystem der Katabolitrepression des Biphenylabbaus in Acidovorax sp. KKS102. Die Deletion des Response-Regulator-Gens führte zu vielfältigen Wachstumseffekten auf Substraten wie Fructose, Glycerin sowie auf H2/CO2. Der pleiotrope Phänotyp sowie die Ergebnisse von Genexpressionsstudien und der Suche nach Regulator-Bindestellen lassen eine globale Rolle des Systems im Energie- und/oder Kohlenstoffmetabolismus von R. eutropha H16 annehmen. Histidin-Kinase und Response Regulator wurden in GloS bzw. GloR umbenannt. Die vorliegende Arbeit zeigt eindrucksvoll das Potential der Proteomik als Teil der funktionellen Genomik für den Anstoß neuer Forschungsansätze zur Evaluierung des biotechnologischen Potentials von Mikroorganismen. / Due to its remarkable metabolism the bioplastic-producing “Knallgas” bacterium Ralstonia eutropha H16 is ranked as a promising production strain for white biotechnology. It grows on a wide range of organic substrates as well as lithoautotrophically on H2 and CO2 as sole energy and carbon source, respectively. Under anaerobic conditions it thrives by denitrification. This thesis focused on characterizing the protein profiles of lithoautotrophically and anaerobically grown R. eutropha cells. Proteome analyses revealed an extensive protein repertoire adapting the organism to alternative electron donors and acceptors, respectively. Changes concerned proteins involved in metabolic and transport processes as well as in cell movement. Compared to previous studies the results reported here offer the most comprehensive proteomic survey regarding the H2-based as well as anaerobic lifestyle of R. eutropha so far. In this context analyzing the cell membrane as a place for a number of energy, transport and signal transduction processes was of particular importance. Special interest aroused the identification of a two-component system upregulated on H2/CO2. Sequence analysis offered high similarity to the regulatory system for catabolite control of biphenyl degradation in Acidovorax sp. KKS102. Deletion of the response regulator gene led to versatile growth effects on substrates such as fructose and glycerol as well as H2/CO2. This pleiotrophic phenotype as well as the results of gene expression studies and the search for regulator binding sites suggests that the two-component system is a global player in energy and/or carbon metabolism in R. eutropha and possibly other bacteria. Thus, histidine kinase and response regulator have been renamed GloS/R. Since their characterization was initiated by proteomic data this study impressively elucidates the power of functional genomics in terms of revealing new research approaches to evaluate the biotechnological use of microbes.

Proteins and their intricate network of interactions are fundamental to many molecular processes that govern life. Mass spectrometry-based structural proteomics represents a powerful set of techniques for characterizing protein structures and interactions. The last decade has witnessed a large-scale adoption in the application of these techniques toward solving a variety of biological questions. Addressing these questions has often been coincident with the further development of these techniques. Insight into the structures of individual proteins and their interactions with other proteins in a proteome-wide context has been made possible by recent developments in the relatively new field of chemical crosslinking combined with mass spectrometry. In these experiments crosslinking reagents are used to capture protein-protein interactions by forming covalent linkages between proximal amino acid residues. The crosslinked proteins are then enzymatically digested into peptides, and the covalently-coupled crosslinked peptides are identified by mass spectrometry. These identified crosslinked peptides thus provide evidence of interacting regions within or between proteins. In this dissertation the development of tools and methods that facilitate this powerful technique are described. The primary arc of this work follows the development and application of mass spectrometry-based approaches for the identification of protein crosslinks ranging from those which exist endogenously to those which are introduced synthetically. Firstly, the development of a novel strategy for comprehensive determination of naturally occurring protein crosslinks in the form of disulfide bonds is described. Secondly, the application of crosslinking reagents to create synthetic crosslinks in proteins coupled with molecular dynamics simulations is explored in order to structurally characterize the intrinsically disordered tau protein. Thirdly, improvements to a crosslinking-mass spectrometry method for defining a protein-protein interactome in a complex sample is developed. Altogether, these described approaches represent a toolset to allow researchers to access information about protein structure and interactions. / Graduate