There has been tremendous advancement in sequencing technologies; the rate at which sequencing data can be generated has increased multifold while the cost of sequencing continues on a downward descent. Sequencing data provide novel insights into the ecological environment of microbes as well as human health and disease status but challenge investigators with a variety of computational issues. This thesis focuses on three common problems in the analysis of high-throughput data. The goals of the first project are to (1) develop a statistical framework and a complete software pipeline for metagenomics that identifies microbes to the strain level and thus facilitating a personalized drug treatment targeting the strain; and (2) estimate the relative content of microbes in a sample as accurately and as quickly as possible. The second project focuses on the analysis of the microbiome variation across multiple samples. Studying the variation of microbiomes under different conditions within an organism or environment is the key to diagnosing diseases and providing personalized treatments. The goals are to (1) identify various statistical diversity measures; (2) develop confidence regions for the relative abundance estimates; (3) perform multi-dimensional and differential expression analysis; and (4) develop a complete pipeline for multi-sample microbiome analysis. The third project is focused on batch effect analysis. When analyzing high dimensional data, non-biological experimental variation or “batch effects” confound the true associations between the conditions of interest and the outcome variable. Batch effects exist even after normalization. Hence, unless the batch effects are identified and corrected, any attempts for downstream analyses, will likely be error prone and may lead to false positive results. The goals are to (1) analyze the effect of correlation of the batch adjusted data and develop new techniques to account for correlation in two step hypothesis testing approach; (2) develop a software pipeline to identify whether batch effects are present in the data and adjust for batch effects in a suitable way. In summary, we developed software pipelines called PathoScope, PathoStat and BatchQC as part of these projects and validated our techniques using simulation and real data sets.

Oral cancer is the sixth most common cancer worldwide and has been marked by high morbidity and poor survival rates that have changed little over the past few decades. Beyond prevention, early detection is the most crucial determinant for successful treatment and survival of cancer. Yet current methodologies for cancer diagnosis based upon pathological examination alone are insufficient for detecting early tumor progression and molecular transformation. Development of new diagnostic tools incorporating tumor biomarkers could enhance early detection by providing molecular-level insight into the biochemical and cellular changes associated with oral carcinogenesis. The work presented in this doctoral dissertation aims to address this clinical need through the development of new automated cellular analysis methods, incorporating lab-on-a-chip sensor techniques, for examination of molecular and morphological biomarkers associated with oral carcinogenesis. Using the epidermal growth factor receptor (EGFR) as a proof-of-principle biomarker, the sensor system demonstrated capacity to support rapid biomarker analysis in less than one-tenth the time of traditional methods and effectively characterized EGFR biomarker over-expression in oral tumor-derived cell lines. Successful extension from in vitro tumor cell lines to clinically relevant exfoliative brush cytology was demonstrated, providing a non-invasive method for sampling abnormal oral epithelium. Incorporation of exfoliative cytology further helped to define the important assay and imaging parameters necessary for dual molecular and morphological analysis in adherent epithelium. Next, this new sensor assay and method was applied in a small pilot study in order to secure an initial understanding of the diagnostic utility of such biosensor systems in clinical settings. Four cellular features were identified as useful indicators of cancerous or pre-cancerous conditions including, the nuclear area and diameter, nuclear-to-cytoplasm ratio, and EGFR biomarker expression. Further examination using linear regression and ROC curve analysis identified the morphological features as the best predictors of disease while a combination of all features may be ideal for classification of OSCC and pre-malignancy with high sensitivity and specificity. Further testing in a larger sample size is necessary to validate this regression model and the LOC sensor technique, but shows strong promise as a new diagnostic tool for early detection of oral cancer. / text

The aim of this work is to establish novel strategies for the highly sensitive screening of cancer biomarkers in biological samples.To achieve this goal, we developed droplet-based microfluidic dPCR technique. Using a limiting dilution, individual DNA molecules are encapsulated within monodisperse droplets of a water-in-oil emulsion created with a microfluidic device. Fluorescent TaqMan® probes targeting the screened cancer biomarkers allow the detection of mutations. We focused on the mutations in the human KRAS gene for the development of our test. This method is also transposable in a multiplexed format for the parallel detection of multiple mutations in clinical samples.The developed technique allowed the precise quantification of a mutated KRAS gene in the presence of a 200,000-fold excess of un-mutated KRAS genes and enabled the determination of mutant allelic specific imbalance (MASI) in several cancer cell-lines. We validated our technique by screening for KRAS mutations in the blood plasma and tumor samples from patients with metastatic colorectal cancer.

<b>Background:</b> Systemic chemotherapy and radiotherapy play an important role in the treatment of colorectal cancer. Tumour perfusion and oxygenation is known to influence radiosensitivity and chemosensitivity. In this thesis, I propose that the evaluation of changes in tumour perfusion using perfusion CT (pCT) and dynamic contrast-enhanced (Dce) MRI can guide the rational sequencing of drugs and radiation. <b>Methods:</b> Dce-MRI and pCT scans were incorporated into a clinical trial of hypofractionated pelvic radiotherapy and nelfinavir in 10 patients with rectal cancer. Toxicity and tissue biomarkers (tumour cell density, microvessel density, CAIX, HIF1-alpha, phospho-Akt and phospho-PRAS40) were evaluated. pCT liver scans were incorporated into an imaging study in patients with colorectal liver metastases randomised to receive either oxaliplatin/ 5FU chemotherapy or oxaliplatin/ 5FU chemotherapy plus selective internal radiotherapy. <b>Results:</b> After 7 days of nelfinavir concurrent with hypo-fractionated pelvic radiotherapy, there was a mean 42&percnt; increase in median K^trans (P=0.03, paired t test) on Dce-MRI and a median 30&percnt; increase in mean blood flow on pCT (P=0.028, Wilcoxon Rank Sum), although no statistically significant changes in perfusion parameters were demonstrated after 7 days of nelfinavir prior to radiotherapy. The feasibility of evaluating tumour cell density in rectal biopsies before and after radiotherapy and a radiosensitising drug as an early endpoint of response was demonstrated. In patients with colorectal liver metastases who received oxaliplatin and modified de Gramont chemotherapy alone, after 4 cycles of chemotherapy, a 28&percnt; decrease in the mean hepatic arterial fraction was observed (P=0.018, paired t test). Between pCT scans 2 days before SIRT and 39-47 days following SIRT and continued 2-weekly chemotherapy, there was a mean 62&percnt; (P=0.009) reduction in Blood Flow and 61&percnt; (P=0.006) reduction in Blood Volume (paired t test). <b>Conclusions</b> This research does not support the hypothesis that nelfinavir before radiotherapy improves blood flow to human rectal cancer. Increases in rectal tumour perfusion during radiotherapy and concurrent nelfinavir are likely to be primarily explained by the acute biological effects of radiation. Four or more cycles of oxaliplatin and modified de Gramont chemotherapy may result in changes in tumour perfusion of colorectal liver metastases which would be detrimental to subsequent radiotherapy. Selective internal radiotherapy resulted in substantial reductions in tumour perfusion 39-47 days after the treatment. Perfusion imaging can be used to detect changes in tumour perfusion in response to radiotherapy and systemic therapy which have implications for the sequencing of therapies.

Ce rapport de thèse présente l’étude de la technologie des empreintes moléculaires pour le développement de polymères spécifiques et sélectifs envers des biomarqueurs urinaires nucléosidiques du cancer colorectal chez l’Homme. L’objectif principal était de développer des polymères à empreintes moléculaires compatibles aux milieux aqueux en utilisant la technique du « dummy template », l’approche non-covalente and la polymérisation radicalaire en masse. Nous nous sommes concentrés principalement sur la qualité des polymères à partir de leur formulation, c’est-à-dire la spécificité et la sélectivité. Cela a été mené de façon empirique d’abord par la production de poudres issues de polymères monolithiques. Ainsi, pour atteindre les objectifs fixés, nous avons exploré le choix de la molécule « template ». Une étude de modèle est présentée au chapitre 3, en utilisant trois nucléosides 2’,3’,5’-peracétylés comme molécule empreinte dans une approche « dummy template ». Ensuite, en s’appuyant sur la connaissance apportée par le chapitre 3, nous avons développé des polymères à empreintes moléculaires (MIPs) sélectifs de la pseudouridine et de la N7-méthylguanosine dans les chapitres 4 et 5, respectivement, en utilisant la 2’,3’,5’-tri-O-acétylpseudouridine et la 2’,3’,5’-tri-O-acétylguanosine comme templates. L’étude de la rétention des nucléosides recherchés et de leurs analogues structuraux menée par chromatographie en phase liquide et par analyse frontale a permis de déterminer la capacité des différents polymères et de connaître leur comportement dans de l’urine synthétique. Finalement, pour évaluer la possible application de ces polymères dans un échantillon réel, l’urine humaine, la technique de l’extraction sur phase solide à empreintes moléculaires ou MISPE a été développée. Ainsi, une purification sélective des biomarqueurs cibles, tels que la pseudouridine et la N7-méthylguanosine, dans des échantillons d’urines a pu être démontrée. / This thesis report presents the exploration of molecularly imprinted polymer (MIP) technology for developing of a sensitive and selective polymers used in urinary nucleoside biomarker recognition. The main goal was to develop water compatible MIPs prepared by a “dummy template” imprinting technology, using a non-covalent approach and radical-polymerization in bulk. We were focusing mostly on the polymer quality in the formulation (rigidity, stability and repeatability). This was chosen empirically first by production of powders from monolithic MIP. Thus, to accomplish the stated goals, we have explored the choice of the template molecule. A model study presented by Chapter 3, using three 2’3’5’-tri-Operacylateduridine nucleosides as templates in a “dummy” template approach was first developed. Then, applying the knowledge of the type of template choice, we developed a selective MIP for recognition of pseudouridine and N7-methylguanosine in the studies presented in Chapter 4 and Chapter 5 respectively. By using 2’3’5’-tri-O-acetylpseudouridine and 2’3’5’-tri-O-acetylguanosine as templates. Chromatographic methods like HPLC retention and frontal analysis were used in the interest of determining the binding capacity of synthesized polymers, and the behavior in synthetic urine. Finally, to evaluate the possible application of these polymers in urine, molecularly imprinted solid phase extraction (MISPE) was developed. Selective purification of urine samples containing pseudouridine and N7-methylguanosine obtained in the end.

We report an IgG (=immunoglobulin) electrochemical immunosensor using a newly synthesized redox-active ferrocenyl dendrimer of generation 2 (G2Fc) as a voltammetric transducer. The ferrocenyl dendrimer N(CH2CH2C(O)NHCH2CH2NHC(O)Fe(η5-C5H4)(η5-C5H5))(CH2CH2N(CH2CH2C(O)NHCH2CH2NHC(O)Fe(η5-C5H4)(η5-C5H5))2)2 (G2Fc) was used as a functional moiety to immobilize the antibody on the surface of the electrode. A sandwich immunosensor of the type IgG/Bovine serum albumin (BSA)/anti-IgG/G2Fc/glassy carbon electrode (GCE) was fabricated. The electrochemical properties of G2Fc were thoroughly studied in aqueous and non-aqueous electrolytes with varying scan rates. The incubation time was optimized for better analytical performance of the immunosensor. It is found that the developed amperometric immunosensor is sensitive to a concentration of IgG as low as 2 ng mL−1. / Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.

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.