Alzheimers sjukdom (AD, eng. Alzheimer’s disease) upptäcktes för 111 år sedan av Alois Alz-heimer. Idag är det den ledande orsaken till demens hos äldre, och incidencen förväntas öka med befolkningens ökande livslängd. År 2050 förutspås antalet patienter med AD nå 10 miljoner personer [1]. Det har gjorts många försök att angripa AD via dess främsta kännetäcken, såsom plack av beta-amyloid (Aβ), Aβ-oligomerer, och ansamlingar av tau-protein, kallat tau-trassel. Trots att forskning om AD bedrivits i flera årtionden är dess orsak alltjämt okänd.På sistone har det funnits ett fokus på de inflammatoriska komponenterna inom AD. Det finns en utbredd aktivering av immunförsvaret i det centrala nervsystemet hos patienter med AD, men varken dess orsak eller dess roll inom AD är känd. Däremot finns det tydliga tecken på att inflammationen är av autoimmun art. Med detta i åtanke är det tydligt att det finns ett stort behov att utröna auto-immunitetens roll inom AD. I denna forskningsstudie användes proteomik-metoder för att bestämma autoantikroppsprofilerna inom plasma och cerebrospinalvätska (CSF, eng. cerebrospinal fluid) hos AD-patienter och en frisk kontrollgrupp.I denna studie användes par av plasma- och CSF-prover från 23 friska individer och 49 patien-ter. Dessutom inkluderades 2 plasmaprover och 18 CSF-prover från patienter. En 380-faldig och en 314-faldig riktad analys gjordes med hjälp utav suspension bead array-teknologi (SBA). Varje SBA bestod av färgkodade, magnetiska mikrosfärer i suspension, med antigen immobiliserade på kulornas yta. Denna analysmetod användes för att undersöka autoantikropssprofilerna i alla prover. Resul-taten visade en ökad respons från autoantikroppar mot antigenen SLC17A6 (Solute Carrier Family 17 Member 6), MAP1A (Microtubule Associated Protein 1A), och MAP2 (Microtubule Associated Protein 2) i patiener gentemot friska individer. Dock har dessa antigen uppvisat en bred reaktivitet i tidigare, opublicerade studier. Därför behövs ytterligare forskning för att fastställa deras roll inom AD.Dessutom användes paren av plasma- och CSF-prover för att undersöka autoantikroppsprofilernas överrensstämmelse inom varje patient. Det visade sig att korrelationen följde en normalfördelning, med starkare korrelation inom antigen med starkare reaktivitet mot den motsvarande autoantikroppen. Denna studie utgör en av de första storskaliga forskningsstudierna av överrensstämmelsen mellan autoantikroppsprofilerna inom plasma och CSF. / Alzheimer’s disease (AD) was discovered 111 years ago by Alois Alzheimer. Today, it is the leading cause of dementia in elderly, and incidence is expected to increase with life expectancy. By 2050, the number of a˙ected individuals is predicted to reach 10 million [1]. There have been numerous attempts to describe AD by its primary hallmarks, including amyloid plaques, amyloid beta (Aβ) oligomers, and tau tangles. However, despite several decades of intense research, the cause of AD remains unknown.Recently, there has been a focus on the inflammatory components of AD. There is an extensive activation of the immune system within the CNS of AD patients, but neither its cause nor its role in AD is known. However, there are strong indications that the inflammation has an autoimmune character. Considering this, there is an imperative need to examine autoimmunity within AD. In the present study, a proteomic approach was used to determine the autoantibody profiles within plasma and cerebrospinal fluid (CSF) within AD patients and healthy controls.Paired plasma and CSF samples from 23 healthy controls and 49 patients were included in the present study. In addition, 2 plasma samples and 18 CSF samples from patients were included (not paired). One 380-plex and one 314-plex targeted suspension bead array (SBA), each consisting of color-coded magnetic microspheres with immobilized antigens, were used to analyze autoantibody profiles in all samples. The resulting data revealed an increased autoantibody response towards anti-gens SLC17A6 (Solute Carrier Family 17 Member 6), MAP1A (Microtubule Associated Protein 1A), and MAP2 (Microtubule Associated Protein 2) in patients compared to healthy controls. However, as these antigens have displayed wide reactivities in previous, unpublished studies, they require further investigation to determine their role in AD.Furthermore, the paired CSF and plasma samples were used to investigate the correlation of autoantibody profiles within patients. The correlation was found to follow a normal distribution, with correlation being higher in antigens displaying stronger autoantibody reactivity. This work represents one of the first large-scale studies on the correlation of autoantibody profiles in plasma and CSF.

To investigate the influence of the internal micellar structure on the course of enzymatic cross-linking especially in the initial phase of the reaction, casein micelles isolated from raw milk via ultracentrifugation were incubated with microbial transglutaminase (mTG) in comparison with non-micellar sodium caseinate. Reactive lysine and glutamine residues were identified using a label-free approach, based on the identification of isopeptides within tryptic hydrolysates by targeted HRMS as well as manual monitoring of fragmentation spectra. Identified reactive sites were furthermore weighted by tracking the formation of isopeptides over an incubation time of 15, 30, 45 and 60 min, respectively. Fifteen isopeptides formed in the early stage of mTG cross-linking of caseins were identified and further specified concerning the position of lysine and glutamine residues involved in the reaction. The results revealed lysine K176 and glutamine Q175 of β-casein as the most reactive residues, which might be located in a highly flexible region of the molecule based on different possible reaction partners identified in this study. Except for the isopeptide αₛ₁ K34–αₛ₂ Q101 in sodium caseinate (SC), all reactive sites were detected in micellar and in non-micellar casein, indicating that the initial phase of enzymatic cross-linking is not affected by micellar aggregation of caseins.

Inositolpyrophosphate (PP-InsPs) sind eine wichtige Gruppe eukaryotischer Botenstoffe, die mit verschiedenen Prozessen wie Apoptose, Phosphathomeostase und Insulinsignalkaskaden verknüpft sind. Trotz ihrer Entdeckung vor mehr als 20 Jahren bleibt es eine Herausforderung, die Signalmechanismen dieser Moleküle zu verstehen. Ursachen dafür sind der limitierte Zugang zu synthetischen PP-InsPs und ein Mangel an allgemein zugänglichen analytischen Methoden. Daher wurden in dieser Arbeit chemische und analytische Verfahren entwickelt, um unser Verständnis von diesen Molekülen sowohl auf ein biochemischer als auch auf zelluläre Ebene zu verbessern. Um der Knappheit an synthetischen PP-InsPs entgegen zu wirken, wurde eine hocheffiziente chemoenzymatische Synthese entwickelt, bei der mehr als 100 mg aller wesentlichen PP-InsPs aus Säugern hergestellt werden konnten. Parallel wurde ein neues analytisches Werkzeug entwickelt, dass Konzentrationen von PP-InsPs in komplexen Proben quantifizieren konnte. Mittels Enzymkatalyse konnten 13C-markiertes myo-inositol und 13C-markierte PP-InsPs hergestellt werden und niedrige Konzentrationen mit nuklearer Magnetresonanzspektroskopie detektiert werden. In vitro waren diese Verbindungen sehr nützlich, um PP-InsP Kinasen von Pflanzen und Säugern zu charakterisieren. Endogene Konzentrationen von PP-InsPs konnten durch metabolisches Markieren mit 13C-markiertem myo-inositol in humanen Zelllinien quantifiziert werden. Letztendlich wurde mittels eines neuen entwickelten proteomischen Ansatzes endogene Proteinpyrophosphorilierung, eine von PP-InsP eingebaute posttranslationale Proteinmodifikation, in menschlichen Zelllinien zum ersten Mal nachgewiesen. Zusammenfassend haben die aufgelisteten chemischen und analytischen Werkzeuge ein hohes Potenzial unser Verständnis der Signalmechanismen hinter den diversen Phänotypen der PP-InsPs zu stärken und Forschungsarbeit in dieser Richtung zu beschleunigen. / Inositol pyrophosphates (PP-InsPs) are an important group of second messengers that intersect with a wide range of processes in eukaryotic cells including phosphate homeostasis, insulin signaling and apoptosis. Despite their discovery more than two decades ago, elucidating the underlying signaling mechanisms remains a significant challenge. Therefore, a new set of chemical and analytical methods was developed here to improve our understanding of these intriguing molecules on the biochemical and cellular level. To overcome the shortage of synthetic PP-InsPs, a highly efficient and scalable chemoenzymatic approach was designed and the major mammalian PP-InsPs could be obtained in hundreds of milligram quantities and in high purity. In parallel, a new analytical tool was developed to quantify levels of PP-InsPs in complex samples. Chemoenzymatic access to 13C-labeled myo-inositol and 13C-labeled PP-InsPs enabled the detection of low concentrations of PP-InsPs using nuclear magnetic resonance spectroscopy. In vitro, these compounds were of great use for the biochemical characterization of PP-InsPs kinases from mammals and plants. Endogenous pools of PP-InsPs from human cell lines were identified and quantified by metabolic labeling with 13C-labeled myo-inositol. Finally, a new proteomics workflow towards the detection of protein pyrophosphorylation, a posttranslational modification mediated by PP-InsPs, using mass spectrometry was optimized and endogenously modified mammalian proteins could be identified for the first time and with high confidence. Taken together, the chemical and analytical tools presented here have great potential to accelerate the understanding of PP-InsP signaling and metabolism. Access to large amounts of PP-InsPs together with a reliable quantification method and the detection of endogenous protein pyrophosphorylation sites will be essential to unravel the signaling mechanisms underlying the diverse phenotypes associated with these metabolites.

Es wird allgemein angenommen, dass Proteine exponentiell degradiert werden. Das bedeutet, dass neu synthetisierte als auch alte Proteine mit gleicher Wahrscheinlichkeit degradiert werden. Es tauchen jedoch immer mehr Hinweise dafür auf, dass das nicht immer der Fall sein muss. Um diese Fragestellung systematisch anzugehen, haben wir eine Methode zur metabolischen Pulsmarkierung mit der nichtkanonischen Aminosäure Azidohomoalanine (AHA) entwickelt. AHA ermöglicht die Anreicherung von neu synthetisierten Proteinen direkt nach einem Puls oder nach einer „chase“ (Nachverfolgung) Periode in AHA freiem Medium. Wir kombinierten diese Methode mit SILAC und Shotgun Proteomik um zu quantifizieren wieviel Protein nach verschiedenen chase-Perioden übrig bleibt. Damit konnten wir Degradationsprofile für tausende von Proteinen erstellen. Unsere Daten zeigen, dass mehr als 10 % der Proteine nicht exponentiell degradiert werden (NED). Diese Proteine werden mit fortschreitendem Alter ausschließlich stabiler. Proteasomale Degradation von überschüssigen Proteinkomplexuntereinheiten scheint einen Großteil der NEDs zu erklären. Beim Vergleich zwischen murinen und humanen Zellen stellte sich heraus, dass NED teilweise konserviert ist. Das liegt scheinbar daran, dass diese Zellen trotz unterschiedlichem Ursprungs einheitlich bestimmte Untereinheiten überproduzieren. Da überschüssige NED Proteine bereits unter Standardbedingungen degradiert werden, nahmen wir an, dass die zusätzliche Überproduktion eines NED Proteins seine Level im stationären Zustand nicht verändern sollte. Um dies zu zeigen, quantifizierten wir Degradationskinetiken von Proteinen einer aneuploidenZelllinie. Wir fanden, dass NED Proteine, die auf trisomischen Chromosomen codiert sind, nicht in gleichem Maße ihr stationäres Level steigerten wie exponentiell degradierte Proteine. In Übereinstimmung mit unserer Hypothese verzeichneten wir stattdessen eine Zunahme der anfänglichen Degradationsraten dieser NED Proteine. / Proteins are thought to be degraded exponentially. That means that newly synthesized proteins have the same probability to be degraded as old proteins. However, evidence has accumulated showing that this is not true in all cases. To analyze this more systematically, we developed a method employing metabolic pulse-labeling by the non-canonical amino acid azidohomoalanine (AHA). AHA enables enrichment of newly synthesized proteins directly after pulse or after chase in AHA-free medium. We used SILAC and shotgun proteomics to quantify how much protein remains after different lengths of chase to create degradation profiles for thousands of proteins. Importantly, these degradation profiles allowed us to detect changes in degradation kinetics as the proteins age. We found that more than 10 % of proteins are non-exponentially degraded (NED). These protein are exclusively stabilized by age. Proteasomal degradation of excess protein complex subunits seems to explain a large fraction of NED. Comparing NED in mouse and human cells, we found that NED is at least partially conserved, seemingly due to cells consistently making too much of certain subunits. These overproduced subunits are on average shorter and more structured than the exponentially degraded proteins within the same complex. Finally, since excess NED proteins are degraded during baseline conditions, we hypothesized that making more of a NED protein would not increase its steady state levels. We employed an aneuploidy cell model and found that indeed NED proteins encoded on trisomic chromosomes did not increase in steady state levels to the same extent as exponentially degraded proteins. Instead, we recorded an increase in initial degradation of these proteins. In summary, we present a method for global pule-chase experiments allowing the detection of age-dependent protein degradation with possible implications for the understanding of aneuploidy and cancer.

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.

Functional characterization of biochemically-isolated proteins is a central task in the biochemical and genetic description of the biology of cells and tissues. Protein identification by mass spectrometry consists of associating an isolated protein with a specific gene or protein sequence in silico, thus inferring its specific biochemical function based upon previous characterizations of that protein or a similar protein having that sequence identity. By performing this analysis on a large scale in conjunction with biochemical experiments, novel biological knowledge can be developed. The study presented here focuses on mass spectrometry-based proteomics of organisms with unsequenced genomes and corresponding developments in biological sequence database searching with mass spectrometry data. Conventional methods to identify proteins by mass spectrometry analysis have employed proteolytic digestion, fragmentation of resultant peptides, and the correlation of acquired tandem mass spectra with database sequences, relying upon exact matching algorithms; i.e. the analyzed peptide had to previously exist in a database in silico to be identified. One existing sequence-similarity protein identification method was applied (MS BLAST, Shevchenko 2001) and one alternative novel method was developed (MultiTag), for searching protein and EST databases, to enable the recognition of proteins that are generally unrecognizable by conventional softwares but share significant sequence similarity with database entries (~60-90%). These techniques and available database sequences enabled the characterization of the Xenopus laevis microtubule-associated proteome and the Dunaliella salina soluble salt-induced proteome, both organisms with unsequenced genomes and minimal database sequence resources. These sequence-similarity methods extended protein identification capabilities by more than two-fold compared to conventional methods, making existing methods virtually superfluous. The proteomics of Dunaliella salina demonstrated the utility of MS BLAST as an indispensable method for characterization of proteins in organisms with unsequenced genomes, and produced insight into Dunaliella?s inherent resilience to high salinity. The Xenopus study was the first proteomics project to simultaneously use all three central methods of representation for peptide tandem mass spectra for protein identification: sequence tags, amino acids sequences, and mass lists; and it is the largest proteomics study in Xenopus laevis yet completed, which indicated a potential relationship between the mitotic spindle of dividing cells and the protein synthesis machinery. At the beginning of these experiments, the identification of proteins was conceptualized as using ?conventional? versus ?sequence-similarity? techniques, but through the course of experiments, a conceptual shift in understanding occurred along with the techniques developed and employed to encompass variations in mass spectrometry instrumentation, alternative mass spectrum representation forms, and the complexities of database resources, producing a more systematic description and utilization of available resources for the characterization of proteomes by mass spectrometry and advanced informatic approaches. The experiments demonstrated that proteomics technologies are only as powerful in the field of biology as the biochemical experiments are precise and meaningful.

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