Tandem mass spectrometry (MS/MS) is the dominant approach for large-scale peptide sequencing in high-throughput proteomic profiling studies. The computational analysis of MS/MS spectra involves the identification of peptides from experimental spectra, especially those with post-translational modifications (PTMs), as well as the inference of protein composition based on the putative identified peptides. In this thesis, we tackled two major challenges associated with an MS/MS analysis: 1) the refinement of PTM predictions from MS/MS spectra and 2) the inference of protein composition based on peptide predictions. We proposed two PTM prediction refinement algorithms, PTMClust and its Bayesian nonparametric extension \emph{i}PTMClust, and a protein identification algorithm, pro-HAP, that is based on a novel two-layer hierarchical clustering approach that leverages prior knowledge about protein function. Individually, we show that our two PTM refinement algorithms outperform the state-of-the-art algorithms and our protein identification algorithm performs at par with the state of the art. Collectively, as a demonstration of our end-to-end MS/MS computational analysis of a human chromatin protein complex study, we show that our analysis pipeline can find high confidence putative novel protein complex members. Moreover, it can provide valuable insights into the formation and regulation of protein complexes by detailing the specificity of different PTMs for the members in each complex.

Philosophiae Doctor - PhD / This study reports on a proteomic analysis of sorghum proteomes in response to salt and hyperosmotic stresses. Two-dimensional gel electrophoresis (2DE) in combination with mass spectrometry (MS) was used to separate, visualise and identify sorghum proteins using both sorghum cell suspension cultures and whole plants. The sorghum cell suspension culture system was used as a source of culture filtrate (CF) proteins. Of the 25 visualised CBB stained CF spots, 15 abundant and well-resolved spots were selected for identification using a combination of MALDI-TOF and MALDI-TOFTOF MS, and database searching. Of these spots, 14 were positively identified as peroxidases, germin proteins, oxalate oxidases and alpha-galactosidases with known functions in signalling processes, defense mechanisms and cell wall metabolism. / South Africa

Philosophiae Doctor - PhD / Drought is the most complex phenomenon that remained to be a potential and historic challenge to human welfare. It affects plant productivity by eliciting perturbations related to a pathway that controls a normal, functionally intact biological process of the plant. Sorghum (Sorghum bicolor (L.) Moench), a drought adapted model cereal grass is a potential target in the modem agricultural research towards understanding the molecular and cellular basis of drought tolerance. This study reports on the genomic and proteomic findings of drought tolerance in sorghum combining the results from in silica and experimental analysis. Pipeline that includes mapping expression data from 92 normalized cDNAs to genomic loci were used to identify drought tolerant genes. Integrative analysis was carried out using sequence similarity search, metabolic pathway, gene expression profiling and orthology relation to investigate genes of interest. Gene structure prediction was conducted using combination of ab initio and extrinsic evidence-driven information employing multi-criteria sources to improve accuracy. Gene ontology was used to cross-validate and to functionally assign and enrich genes. An integrated approach that subtly combines functional ontology based semantic data with expression profiling and biological networks was employed to analyse gene association with plant phenotypes and to identify and genetically dissect complex drought tolerance in sorghum. The gramene database was used to identify genes with direct or indirect association to drought related ontology terms in sorghum. Where direct association for sorghum genes were not available, genes were captured using Ensemble Biomart by transitive association based on the putative functions of sorghum orthologs in closely related species. Ontology mapping represented a direct or transitive association of genes to multiple drought related ontology terms based on sorghum specific genes or orthologs in related species. Correlation of genes to enriched gene ontology (GO)-terms (p-value < 0.05) related to the whole-plant structure was used to determine the extent of gene-phynotype association across-species and environmental stresses.

Philosophiae Doctor - PhD / Sorghum (Sorghum bicolorï, a drought tolerant cereal crop, is not only an important food source in the semi arid/arid regions but also a potential model for studying and gaining a better understanding of the molecular mechanisms of drought and salt stress tolerance in cereals. This study reports on a proteomic analysis of sorghum proteomes in response to salt and hyperosmotie stresses. Two-dimensional gel electrophoresis (2DE) in combination with mass spectrometry (MS) was used to separate, visualise and identify sorghum proteins using both sorghum cell suspension cultures and whole plants. The sorghum cell suspension culture system was used as a source of culture filtrate (CF) proteins. Of the 25 visualised CBB stained CF spots, 15 abundant and well-resolved spots were selected for identification using a combination of MALDI- TOF and MALDI- TOFTOF MS, and database searching. Of these spots, 14 were positively identified as peroxidases, germ in proteins, oxalate oxidases and alpha-galactosidases with known functions in signalling processes, defense mechanisms and cell wall metabolism. Following 200 mM NaCl and 400 mM sorbitol stress treatments, the expression/abundance of a protein spot similar to a rice wall-associated protein kinase was upregulated in the sorghum secretome in response to both stresses. Amino acid sequence alignment of the matching peptides between these two proteins showed that the sorghum CF spot possesses a protein kinase domain. Therefore, this protein could possibly participate in cell signalling functions, which link the external environment with the cell's cytoplasm. Using whole plant systems, a comparative study of leaf protein expression between two sorghum varieties, AS6 (salt sensitive) and MN1618 (salt tolerant) was conducted. Forty well resolved spots of varying abundances were picked for MS analysis. Of these, 28 were positively identified, representing proteins with functions in carbohydrate metabolism (60.7%), proton transport (17.9%), protein synthesis (7.1%), hydrolytic functions (7.1%), nucleotide metabolism (3.6%) and detoxification (3.6%). Using PDQuest™ Advanced 2D Analysis Software version 8.0.1 (BIO-RAD), a comparative analysis of leaf proteome expression patterns between the two sorghum varieties was conducted. The results indicated proteins with similar expression patterns as well as qualitative and quantitative differences between the two leaf proteomes. The effect of 100 mM NaCI on leaf proteome expression between the two sorghum varieties was also studied. Western blotting analysis of leaf, sheath and root tissues using Hsp70 antibodies showed that this treatment induced Hsp70 expression, a known stress protein, in both varieties. Thereafter, the partially annotated leaf proteome map was used to landmark other salt responsive proteins. Examples of differential expression patterns included glutathione S transferase and hydroxynitrile lyase proteins whose abundances were upregulated in both varieties, while the large subunit of RuBisCo was downregulated in AS6 but upregulated in MN1618. Qualitative spot expression differences in response to salt stress were also observed between the two sorghum varieties but these remained unidentified after both MALDI-TOF and MALDI-TOF-TOF MS, possibly indicating novel and previously uncharacterised sorghum proteins. The results of this study can be used as reference tools by proteomics researchers worldwide as well as a foundation for future studies.

Une importante avancée dans la compréhension des mécanismes gouvernant le processus de transport des ions iodures à l’intérieur des cellules thyroïdiennes a été le clonage en 1996 de la protéine responsable de ce transport : le symporteur Na/I (ou NIS). De nombreuses recherches ont été conduites depuis afin de caractériser cette protéine ainsi que les mécanismes qui régulent son expression et son activité. Les mécanismes cellulaires de régulation du transport et les protéines impliquées dans la régulation post-traductionnelle du symporteur restent toutefois largement inconnus. La compréhension de l’ensemble de ces mécanismes permettrait pourtant d’améliorer le traitement d’un grand nombre de patients. Le transport d’iode est en effet non seulement impliqué dans différentes pathologies de la thyroïde, mais aussi dans les contaminations à l’iode radioactif consécutives aux accidents nucléaires et dans de prometteuses stratégies de thérapie génique anticancéreuses. La chémogénomique, aussi appelée génétique chimique, est une approche multidisciplinaire dont le but est d’explorer les systèmes vivants au moyen de petites molécules organiques. Afin de mieux comprendre les mécanismes qui gouvernent le transport d’iode, notre laboratoire a mis en place une stratégie de génétique chimique qui a permis dans un premier temps de découvrir 10 molécules capables d’inhiber le transport d’iode. L’objectif de cette thèse était d’identifier les cibles protéiques de deux de ces molécules : ITB5 et ITB2. Des études d’électrophysiologie et de flux isotopique ayant montré que ces deux molécules ont un mode d’action différent, leur étude devait permettre d’identifier au moins deux protéines impliquées dans le transport des ions iodures.Afin d’identifier les protéines cibles d’ITB5 et d’ITB2, des sondes ont été synthétisées. Ces sondes sont constituées du composé d’intérêt, d’un groupement photoactivable permettant de créer, sous irradiation lumineuse, une liaison covalente avec la ou les protéine(s) cible(s) et d’une molécule de Biotine ou de Desthiobiotine afin d’extraire les protéines marquées des lysats cellulaires. Une fois marquées et capturées sur des billes d’agarose Streptavidine, les protéines d’intérêt ont été séparées sur des gels SDS-PAGE colorés au nitrate d’argent ou au bleu de Coomassie. Les bandes correspondantes ont été excisées, digérées à la trypsine et les peptides obtenus analysés par spectrométrie de masse. L’interrogation de la base de données Swissprot avec les données issues des expériences menées avec la sonde ITB5-P2 a permis d’identifier 3 protéines interagissant visiblement avec ce composé. Les expériences basées sur le composé ITB2 ont du être suspendues par manque de temps mais des résultats encourageants ont déjà été obtenus. Une bande pouvant correspondre à une protéine marquée spécifiquement par la sonde ITB2-P1 a en effet pu être observée en Western-blot suite à une première expérience de capture sur billes. Elle n’a toutefois pas pu être visualisée sur gel du fait d’une présence trop importante de protéines captées non spécifiquement par les billes. Les conditions expérimentales de capture ayant été optimisées avec le composé ITB5, leur application au composé ITB2 devrait maintenant permettre d’obtenir des gels plus propres à partir desquels la bande d’intérêt pourra être excisée pour être, elle aussi, analysée par spectrométrie de masse. / An important breakthrough in the understanding of the mechanisms governing the process of iodide transport inside thyroid cells has been the cloning in 1996 of the protein responsible for this transport : the Na/I symporter (NIS). Different studies have been conducted ever since in order characterize this protein as well as the mechanisms which regulate its expression and its activity. Nevertheless, the cellular mechanisms of transport regulation and the proteins implied in the posttranslational regulation of the symporter remain largely unknown. The full understanding of these mechanisms would allow the treatment improvement of a lot of patients. Iodide transport is indeed involved not only in different thyroid pathologies, but also in radioactive iodide contaminations following nuclear accidents and in promising anticancer strategies by gene transfer. Chemogenomics, also called chemical genetics, is a multidisciplinary approach which goal is to explore the living systems thanks to small organic molecules. To better understand the mechanisms which govern iodide transport, our laboratory has set up a direct chemical genetic strategy which allowed us first to discover 10 molecules able to inhibit iodide transport. The objective of this thesis was to identify the protein targets of two molecules : ITB5 and ITB2. Electrophysiological and isotopic flux studies showed that these two molecules have a different mechanism of action. Their study should then allow the identification of at least two proteins involved in iodide transport.To identify the protein targets of ITB5 and ITB2, different probes were synthesized. These probes are made from the compound of interest, a photoactivable group allowing the creation, under light irradiation, of a covalent bound with the protein target(s) and a Biotin or Desthiobiotine molecule to extract the labeled proteins from cellular lysates. Once labeled and captured on agarose-Streptavidin beads, the proteins of interest were separated on SDS-PAGE gels stained either with silver nitrate or Coomassie blue. The corresponding bands were excised, digested by trypsin and the obtained peptides analyzed by mass spectrometry. A query made in the data bank Swissprot with the data obtained after the experiments conducted with the probe ITB5-P2 allowed us to identify 3 proteins apparently interacting with the compound ITB5. The experiments based on ITB2 had to be suspended because of a lack of time but encouraging results have been obtained. A band which may correspond to a protein specifically labeled by the probe ITB2-P1 has indeed been observed on a Western-blot after a first on-bead capture experiment. However, we couldn’t visualize it on a gel because of the important presence of proteins captured non specifically by the beads. The capture experimental conditions were optimized with the compound ITB5. These conditions will now be applied to the compound ITB2 and this should allow us to obtain cleaner gels on which the band of interest will be excised for an analyze by mass spectrometry.

Bone healing involves a variety of different cell types and biological processes. Although certain key molecules have been identified, the molecular interactions of the healing progress are not completely understood. Moreover, a clinical routine for predicting the quality of bone healing after a fracture in an early phase is missing. This is mainly due to a lack of techniques to comprehensively screen for cytokines, growth factors and metabolites at their local site of action. Since all soluble molecules of interest are present in the fracture hematoma, its in-depth assessment could reveal potential markers for the monitoring of bone healing. Here, we describe an approach for sampling and quantification of cytokines and metabolites by using microdialysis, combined with solid phase extractions of proteins from wound fluids. By using a control group with an isolated soft tissue wound, we could reveal several bone defect-specific molecular features. In bone defect dialysates the neutrophil chemoattractants CXCL1, CXCL2 and CXCL3 were quantified with either a higher or earlier response compared to dialysate from soft tissue wound. Moreover, by analyzing downstream adaptions of the cells on protein level and focusing on early immune response, several proteins involved in the immune cell migration and activity could be identified to be specific for the bone defect group, e.g. immune modulators, proteases and their corresponding inhibitors. Additionally, the metabolite screening revealed different profiles between the bone defect group and the control group. In summary, we identified potential biomarkers to indicate imbalanced healing progress on all levels of analysis.

Mitochondriopathien sind Multisystemerkrankungen die durch verschiedene Defekte in den Energie (ATP) produzierenden Stoffwechselwegen der Mitochondrien verursacht sind. Will man Mitochondriopathien auf molekularer Ebene diagnostizieren, stößt man auf folgende Schwierigkeiten: (A) Ungefähr 1000 Gene sind an der Biogenese des Mitochondriums beteiligt. Die Dysfunktion jedes einzelnen dieser Gene kann potentiell zur Mitochondriopathie führen. (B) Mitochondriale Proteine werden durch zwei Genome, durch die mitochondriale und durch die nukleäre DNA kodiert. (C) Die klinischen Symptome der Patienten weisen selten auf die molekulare Diagnose, da der Phänotyp oft nur auf einem sekundären Energiemangel beruht. In der Regel besteht keine sichere Genotyp-Phänotyp-Relation. Mit den gegenwärtig zur Verfügung stehenden Methoden lassen sich bei nur 20% der Patienten Mutationen finden. Wir wollten daher eine neue Screening-Methode entwickeln, mit deren Hilfe wir hoffen, die Aufspürungsrate für mitochondriale Mutationen zu erhöhen. Die Gesamtheit der Proteine einer Organelle oder einer ganzen Zelle (ihr "Proteom") stellt das Verbindungsglied zwischen Geno- und Phänotyp dar. Aus diesem Grunde wollten wir das mitochondriale Proteom von gesunden Kontrollpersonen und von Patienten mit Mitochondriopathien untersuchen. Protein-Muster, die zwischen diesen beiden Gruppen abweichen, könnten die Aufmerksamkeit auf Gene und Proteine richten, die an der Entstehung des Krankheits-Phänotyps beteiligt sind. Um solch eine vergleichende Studie durchzuführen, muß zunächst eine Referenzkarte des normalen mitochondrialen Proteoms erstellt werden. In meinem Dissertationsprojekt habe ich diese grundlegende Arbeit durchgeführt und zahlreiche Proteine auf der Proteomkarte menschlicher Mitochondrien identifiziert, die aus Epstein-Barr-Virus-transformierten lymphoblastoiden Zellen gewonnen worden waren. Ich wählte diese Zellsorte als Untersuchungsmaterial, da sie nicht nur einfach von Patienten gewonnen werden, sondern auch potentiell permanent wachsen kann. Dies erlaubt die Züchtung einer hohen Zellzahl ohne übermäßigen Aufwand. Ich optimierte ein Protokoll zur Zentrifugation in einem hybriden Gradienten, mit dem genug gereinigte Mitochondrien aus 108 Zellen gewonnen werden konnten. Für die Referenzkarte benutzte ich die lymphoblastoide Zellline einer gesunden Kontrollperson. Die Methode der Wahl zur Proteinidentifikation in Proteom-Projekten ist die zweidimensionale Proteinelektrophorese gekoppelt mit der MALDI-TOF-Massenspektrometrie. Ich entdeckte mehr als 400 Punkte in meinem silbergefärbten zweidimensionalen Gel und analysierte die 141 stärksten Punkte nach in-gel Trypsin-Verdau und anschließender MALDI-TOF-Massenspektrometrie in einem Verfahren, das als "Peptide Mass Fingerprinting" (Peptidmassen-Fingerabdruck) bezeichnet wird. Mit Hilfe entsprechender Datenbanken konnte ich schließlich 115 verschiedene Proteinpunkte (entsprechen 95 verschiedenen Proteinen) identifizieren. 90 dieser Punkte (entsprechend 74 verschiedenen Proteinen) waren sicher mitochondrialer Herkunft und sind Komponenten aller wesentlichen im Mitochondrium lokalisierten Stoffwechselwege. 16 der 74 identifizierten mitochondrialen Proteine gehören zur Atmungskette. Obwohl 18 mitochondriale Proteine in der Datenbank SWISS-PROT als "Membran-assoziiert" annotiert sind, identifizierte ich nur vier Proteine mit sicheren Transmembrandomänen. Ich entdeckte keine der 13 durch die mitochondriale DNA kodierten Proteine, die alle stark hydrophobe Membranproteine sind. Andere Forscher sind bei dem Versuch diese Proteine zu identifizieren, auf die gleichen Schwierigkeiten gestoßen. Mit meiner Dissertationsarbeit habe ich unsere eigene Datenbank und Referenzkarte des mitochondrialen Proteoms lyphoblastoider Zellen erstellt. Diese Daten ermöglichen nun die Analyse des mitochondrialen Proteoms von Patienten. Meine weiteren Untersuchungen auf diesem Gebiet werden sich nun auf die genetische Variabilität des Proteoms gesunder Kontrollpersonen und auf das Proteom der Patienten mit Mitochondriopathien beziehen. / Mitochondrial disorders are multisystem diseases that can be caused by any defect in the energy (ATP) generating pathways in the mitochondria. The difficulty in diagnosing mitochondrial diseases on the molecular level arises from several obstacles: (A) About 1000 genes are involved in the biogenesis of mitochondria. The dysfunction of each of them may potentially cause mitochondriopathy. (B) The mitochondrial proteins are encoded by two genomes: the mitochondrial DNA and the nuclear DNA. (C) The clinical symptoms of the patients rarely suggest a molecular diagnosis since in most cases, the phenotype is a secondary phenomenon to energy depletion. Generally there is no genotype-phenotype relation. Based on current diagnostic methods in only 20% of the patients a mutation can be found. We therefore wanted to develop a new screening method by which we hope to increase the identification rate. Since the numerous proteins of an organelle or of a whole cell (its "proteome") connect the genotype with the phenotype, we set out to study the proteome of the mitochondrion in healthy individuals and in patients with mitochondrial diseases. Deviating protein patterns between the two individuals could direct the attention to disease-specific proteins and genes, which might be involved in the expression of a disease-phenotype. In order to perform such a comparison I first had to establish a normal reference map. In my dissertation project I performed this basic task and identified numerous mitochondrial proteins on the proteome-map of human mitochondria, which had been extracted from lymphoblastoid cells. I selected Epstein-Barr-Virus-transformed lymphoblastoid cells as samples not only because they are easily obtained from patients, but also due to their potential permanent growth. This approach allows the cultivation of high cell numbers without excessive expenditure of work and cost. I optimized a protocol for hybrid gradient centrifugation, by which enough mitochondria can be purified from 108 cells. I used a cultured lymphoblastoid cell line from a normal control patient and isolated mitochondria from it by using hybrid gradient centrifugation. In proteomics the combination of the high-resolution two-dimensional electrophoresis and matrix assisted laser desorption/ionization-time-of-flight-mass spectrometry (MALDI-TOF-MS) is currently the method of choice for protein identification. I detected more than 400 spots in a silver-stained two-dimensional gel. I analyzed the 141 strongest spots of it by trypsin in gel digestion and subsequent MALDI-TOF mass spectrometry in a process termed "peptide mass fingerprinting". After database search, I finally identified 115 protein spots (corresponding to 95 different proteins), 90 of which (corresponding to 74 different proteins) are of confirmed mitochondrial origin. These identified proteins are components of the main biological pathways located in the mitochondrion. 16 of the 74 identified mitochondrial proteins belong to the respiratory chain. Despite the fact that 18 mitochondrial proteins are annotated in the SWISS-PROT-database as "membrane associated proteins", only four of them have clear transmembrane domains. None of the proteins encoded by the mitochondrial DNA could be detected. All of them are hydrophobic membrane proteins. A similar difficulty in resolving these proteins was encountered by other research groups. With my dissertation I established our own database and reference map of the mitochondrial proteome of lymphoblastoid cells. These data will facilitate the analysis of the mitochondrial proteome in patients. My future research based on this dissertation will mainly focus on the genetic variation of the proteome of healthy individuals and on patients with mitochondrial diseases.

Τα πεπτίδια, είτε ως πρωτεϊνικά θραύσματα είτε ως φυσικές οντότητες, χαρακτηρίζονται από την ακολουθία τους και από τα λειτουργικά τους χαρακτηριστικά. Ο σκοπός αυτής της Διδακτορικής Διατριβής είναι η ανάπτυξη μιας μεθοδολογίας εξόρυξης δεδομένων για μοναδικά tags και πεπτιδικά/πρωτεϊνικά χαρακτηριστικά του ανθρώπινου πρωτεώματος καθώς επίσης η ανάλυση και η εφαρμογή αυτών των βιολογικών δεδομένων σε πρωτεϊνες που σχετίζονται με τον καρκίνο. Δημιουργήθηκε μια αποθήκη αρχείων η οποία περιέχει μοριακά βάρη με ακρίβεια 0.01 Da που συνδέονται με τις αντίστοιχες πεπτιδικές ακολουθίες ανθρώπινων πρωτεϊνών της Swiss-Prot βάσης. Αυτές οι πρωτεϊνες διασπάστηκαν εξαντλητικά παρέχοντας ανεξαρτησία στις πεπτιδικές ακολουθίες από άλλες μεθόδους που βασίζονται στην ενζυματική διάσπαση. Από αυτήν την αποθήκη δεδομένων, διαχωρίστηκαν τα μοριακά βάρη που είναι μοναδικά και φτάνουν μέχρι τα 10 kDa καθώς και οι μοναδικές πεπτιδικές ακολουθίες (μέχρι 10 kDa). Στα πλαίσια της αξιοποίησης των δεδομένων εξόρυξης για την ταυτοποίηση των πρωτεϊνών, αναπτύχθηκε μια ευρέως διαθέσιμη διαδικτυακή εφαρμογή όπου γίνεται η αντιστοίχιση των μοριακών βαρών υψηλής ανάλυσης με πεπτίδια και πρωτεϊνες. Μια ακόμη διαδικτυακή εφαρμογή αναπτύχθηκε για να προσφέρει την πληροφορία της μοναδικότητας των μοριακών βαρών και των πεπτιδικών ακολουθιών στο ανθρώπινο πρωτέωμα. Η εφαρμογή μπορεί να αναζητήσει μοναδικά πρωτεϊνικά θραύσματα που προκύπτουν από την εζυματική διάσπαση πρωτεϊνών και να προσφέρει την πληροφορία για όλα τα μοναδικά μοριακά βάρη και τις μοναδικές πεπτιδικές ακολουθίες που περιέχονται σε μια πρωτεϊνη. Πολλές φορές χρειάζεται η μαζική διαχείριση των πεπτιδίων από λίστες. Για το σκοπό αυτό, αναπτύχθηκε ένας web server ο οποίος διαχειρίζεται τις πεπτιδικές λίστες, αναλύοντας τα χαρακτηριστικά των πεπτιδίων και ομαδοποιώντας τα πεπτίδια σύμφωνα μα αυτά τα χαρακτηριστικά, ενώ οπτικοποιείται η ομαδοποίηση με την χρήση ενός java applet. Το PepServe είναι ένα χρήσιμο εργαλείο για την κατανόηση της κατανομής των πεπτιδικών χαρακτηριστικών για ένα σύνολο πεπτιδίων. Τέλος, αναλύθηκαν σύνολα πρωτεϊνών που σχετίζονται με διάφορες περιπτώσεις καρκίνων, για πεπτιδικά χαρακτηριστικά. Αυτή η ανάλυση έχει σκοπό την εύρεση πιθανών προτιμήσεων σε χαρακτηριστικά και την εύρεση μοναδικών tags των πρωτεϊνών που σχετίζονται με καρκίνους. Τα μοναδικά tags μπορούν να χρησιμοποιηθούν στην ανακάλυψη βιοδεικτών και την ανάπτυξη νεων φαρμάκων για την πιο αποτελεσματική διάγνωση και θεραπεία. / Peptides, either as protein fragments or as naturally occurring entities are characterized by their sequence and function features. The purpose of the present Ph.D. thesis is to develop a datamining method for unique tags and peptide/protein characteristics in the human proteome and to analyze and apply the derived biological data in cancer-related proteins. A file repository has been created, containing indexed information that relates molecular masses with an accuracy of 0.01 Da to the corresponding peptides existing in human proteins. These proteins have been deposited in a completely digested protein database (Swiss-Prot) providing independence from any specific enzyme/digestion method. From this repository, the unique molecular masses, ranging from 1 to 10 kDa, and the unique peptide sequences from all the possible sequence fragments (up to 10 kDa) have been mined. A publicly available web application has been developed which facilitates a high resolution mapping of measured molecular masses to peptides and proteins, irrespectively of the enzyme/digestion method used. Μulti-filtering may be applied in terms of measured mass tolerance, molecular mass and isoelectric point range as well as pattern matching to refine the results In addition, another publicly available web application has been developed that offers information concerning the uniqueness of molecular masses and peptide sequences in the human proteome. The application is able to search for unique protein fragments derived computationally from enzymatic digestion driven by certain enzymes. Furthermore, the application can list all the unique masses and peptides of a given protein. Through this application, researchers are able to find unique tags, either on a molecular mass level or on a sequence level. A web server has beed developed that manages peptide lists in terms of feature analysis as well as interactive clustering and visualization of the given peptides. PepServe is a useful tool towards understanding peptide feature distribution among a group of peptides. Finally, cancer-related proteins have been analyzed producing peptide features and peptide feature’s sequence uniqueness resulting in some feature preferences and peptide unique tags. These unique tags can be used in biomarker discovery, and novel drug development for an efficient diagnosis and treatment.

Das magenbesiedelnde Bakterium Helicobacter pylori gehört zu den am weitesten verbreiteten Infektionserregern. Obwohl die Infektion meist lebenslang symptomlos verläuft, kann H. pylori bei einigen Menschen schwere Erkrankungen bis hin zum Magenkarzinom verursachen. Ziele dieser Arbeit waren Magenkarzinom-assoziierte Antigene für einen diagnostischen Test zu finden und Methoden zur Untersuchung von Spotkompositionen mittels MALDI-TOF/TOF Massenspektrometrie zu entwickeln. Im ersten Teil der Promotion wurden die Antigenerkennungsmuster von 30 Magenadenokarzinom- mit 30 Ulkus duodeni-Patienten mithilfe hochauflösender zweidimensionaler Immunoblots von H. pylori Lysat verglichen. Diese fokussierte Gegenüberstellung eignet sich gut für diese Fragestellung, da beide Erkrankungen von diesem Bakterium verursacht werden, aber nur sehr selten gemeinsam auftreten. Durch univariate statistische Analysen wurden 14 Magenkarzinom korrelierte Spots gefunden (p / The stomach-colonizing bacterium Helicobacter pylori is one of the most widespread infectious agents. Although infection mostly persists unnoticed, it may cause serious diseases like gastric carcinoma. Aims of this project were to find gastric carcinoma-associated antigens for a diagnostic test and to develop methods to analyze spot compositions using MALDI-TOF/TOF mass spectrometry. In the first part of this project antigen recognition patterns of 30 gastric carcinoma- and 30 duodenal ulcer- patients were compared using high-resolution two-dimensional immunoblots of H. pylori lysate. This focused comparison lent itself to this question because both diseases are caused by the bacterium but rarely occur conjointly. Utilizing univariate statistical tests 14 gastric carcinoma-associated spots were found (p