Bacteria have been the causative agents of major infectious disease pandemics throughout human history. Over the past 4 decades, a combination of changing medical practices, industrialization, and globalisation have led to a number of emergences and re-emergences of bacterial pathogens. The design of rational control programs and bespoke therapies will require an enhanced understanding of the dynamics underpinning the emergence and transmission of pathogenic clones. The recent development of new technologies for sequencing bacterial genomes rapidly and economically has led to a greatly enhanced understanding of the diversity of bacterial populations. This thesis describes the application of whole genome sequencing of 2 bacterial pathogens, Staphylococcus aureus and Legionella pneumophila, in order to understand the dynamics of bacterial infections on different temporal and spatial scales. The first study involves the examination of S. aureus evolution during a chronic infection of a single patient over a period of 26 months revealing differences in antibiotic resistance profiles and virulence factor expression over time. The genetic variation identified correlated with differences in growth rate, haemolytic activity, and antibiotic sensitivity, implying a profound effect on the ecology of S. aureus. Importantly, polymorphisms were identified in global regulators of virulence, with a high frequency of polymorphisms within the SigB locus identified, suggesting this region may be under selection in this patient. The identification of genes under diversifying selection during long-term infection may inform the design of novel therapeutics for the control of refractory chronic infections. Secondly, the emergence and transmission of 3 pandemic lineages derived from S. aureus clonal complex 30 (CC30) were investigated. Independent origins for each pandemic lineage were identified, with striking molecular correlates of hospital- or community-associated pandemics represented by mobile genetic elements, such as bacteriophage and Staphylococcal pathogenicity islands, and non-synonymous mutations affecting antibiotic resistance and virulence. Hospitals in large cities were identified as hubs for the transmission of MRSA to regional health care centres. In addition, comparison of whole genome sequences revealed that at least 3 independent acquisitions of TSST-1 have occurred in CC30, but a single distinct clade of diverse community-associated CC30 strains was responsible for the TSS epidemic of the late 1970s, and for subsequent cases of TSS in the UK and USA. Finally, whole genome sequencing was used as a tool for investigating a recent outbreak of legionellosis in Edinburgh. An unexpectedly high level of genomic diversity was identified among the outbreak strains, with respect to core genome polymorphisms, and accessory genome content. The data indicate that affected individuals may be infected with heterogeneous strains. The findings highlight the complexities in identifying environmental sources and suggest possible differences in pathogenic potential among isolates from a single outbreak. Taken together, the findings demonstrate applications of bacterial genome sequencing leading to enhanced understanding of bacterial pathogen evolution, emergence, and transmission, which may ultimately inform appropriate infection control measures.

High-throughput sequencing is a powerful tool to study diverse aspects of biology and applies to genome, transcriptome, and small RNA profiling. Ever increasing sequencing throughput and more specialized sequencing assays demand more sophisticated bioinformatics approaches. In this thesis, I present 4 studies for which I developed computational methods to handle high-throughput sequencing data to gain insights into biology. The first study describes the genome of High Five (Hi5) cells, originally derived from Trichoplusia ni eggs. The chromosome-level assembly (scaffold N50 = 14.2 Mb) contains 14,037 predicted protein-coding genes. Examination and curation of multiple gene families, pathways, and small RNA-producing loci reveal species- and order-specific features. The availability of the genome sequence, together with genome editing and single-cell cloning protocols, enables Hi5 cells as a new tool for studying small RNAs. The second study focuses on just one type of piRNAs that are produced at the pachytene stage of mammalian spermatogenesis. Despite their abundance, pachytene piRNAs are poorly understood. I find that pachytene piRNAs cleave transcripts of protein-coding genes and further target transcripts from other pachytene piRNA loci. Subsequently, systematic investigation of piRNA targeting by integrating different types of sequencing data uncovers the piRNA targeting rule. The third study describes computational procedures to map splicing branchpoints using high-throughput sequencing data. Screening >1.2 trillion RNA-seq reads determines >140,000 BPs for both human and mouse. Such branchpoints are compiled into BPDB (BranchPoint DataBase) to provide a comprehensive branchpoint catalog. The final study combines novel experimental and computational procedures to handle PCR duplicates that are prevalent in high-throughput sequencing data. Incorporation of unique molecular identifiers (UMIs) to tag each read enables unambiguous identification of PCR duplicates. Both simulated and experimental datasets demonstrate that UMI incorporation increases the reproducibility of RNA-seq and small RNA-seq. Surveying 7 common variables in high-throughput sequencing reveals that the amount of starting material and sequencing depth, but not the number of PCR cycles, determine the PCR duplicate frequency. Finally, I show that removing PCR duplicates without UMIs leads to substantial bias into data analysis. / 2020-12-11T00:00:00Z

The aim of this thesis is to create simulation model of a conveyor node in the field of sequential stack topcoat paintshop of ŠKODA AUTO a.s. in Mladá Boleslav. Simulation model is create in Plant Simulation. The chapters of this thesis describes the overview of conveying technology used for the transportation of bodies in the solved area, basics of discrete simulation, describe solved area and process of creation a simulation model. Using the simulation model is tested overall throughput of solved area, when changes input parameters. From results of experiments are deducted the conclusions.

Le travail présenté dans ce manuscrit porte sur la recherche de nouveaux membres de la famille des dioxygénases α-cétoglutarate et fer dépendantes (α-KAO) et leur application en synthèse organique. Dans un premier, ce travail a consisté à chercher de nouvelles enzymes selon une approche génomique basée sur l’homologie de séquence et le partage d’un motif InterPro. Deux criblages haut débit avec 79 et 127 enzymes candidates ont ensuite été effectués sur des panels constitués respectivement de 23 et 36 substrats, structurellement plus ou moins proches des substrats métaboliques. Huit nouvelles α-KAO ont ainsi pu être découvertes. Parmi ces huit nouvelles α-KAO, quatre ont été étudiées plus en détail. Après optimisation des conditions de réaction pour chaque enzyme, des montées en échelle ont été réalisées pour caractériser les produits formés. A partir de ces quatre enzymes, la (3S)-3-hydroxy-L-lysine, un dérivé cyclisé de la (4R)-4-hydroxy-L-lysine, (3S)-3-hydroxy-L-ornithine et un dérivé de la (3S)-3-hydroxy-L-arginine ont pu être produits. Nous avons proposé une synthèse biocatalytique de mono et dihydroxydiamines en couplant une ou deux α-KAO avec une décarboxylase. Les (2S)-1,5-diamino-2-pentanol, 1,5-diamino-3-pentanol, (2S)-1,4-diamino-2-butanol et (2S,3S)-1,5-diamino-2,3-pentanediol ont ainsi été obtenus avec de bonnes conversions. / The work described in this manuscript deals with the search of new members of the α-ketoglutarate and Iron-dependent dioxygenases family (α-KAO) and their applications in organic synthesis. The first part of this work presents the search of new enzymes through a genomic approach based on sequence homology and InterPro motif sharing. Two high-throughput screenings with 79 and 127 candidate enzymes have been performed on 23 and 36 substrates more or less structurally close to known metabolic substrates. 8 new α-KAOs have been discovered. Among these new enzymes, four were studied in more details. After optimization of the enzymatic reaction conditions for each enzyme, scale-up allowed to obtain compounds for isolation and characterization. With these four enzymes, (3S)-3-hydroxy-L-lysine, (4R)-4-hydroxy-L-lysine as its cyclic derivative, (3S)-3-hydroxy-L-ornithine and a derivative of (3S)-3-hydroxy-L-arginine were produced. Two of the new α-KAO were combined in a cascade process to afford the (3R,4R)-3,4-dihydroxy-L-lysine as its cyclic derivative. We proposed a biocatalytic synthesis of mono and hydroxydiamines by coupling one or two α-KAO with a decarboxylase enzyme. (2S)-1,5-diamino-2-pentanol, 1,5-diamino-3-pentanol, (2S)-1,4-diamino-2-butanol and (2S,3S)-1,5-diamino-2,3-pentanediol were obtained with good overall conversions.

Messenger RNAs (mRNAs) have to undergo a series of post-transcriptional processing steps before translation. One of the post-transcriptional steps - 3' end processing, which consists of cleavage and polyadenylation, is critical for delimiting the 3' end of mRNA and determining regulatory elements for downstream post-transcriptional/translational regulation. Like another well-characterized mRNA processing step - splicing, 3' end processing is very flexible due to the diversity of trans-acting factors and cis-acting elements in the 3' end of mRNA. In recent years, the differential usage of alternative polyA sites (APA) of the same gene, which leads to mRNA isoforms of different 3' UTR, has been increasingly revealed by both experimental and computational studies. More significantly, the global changes of 3' UTR length have been observed in multiple clinical settings, particularly in the cancer cells. However, the depiction of APA phenomenon does not synchronize the efforts to study the mechanism underlying APA biogenesis. In this thesis, we first describe general principle and pipeline to identify APA in different biological or clinical conditions using various high throughput sequencing techniques. After that, we present the work about the global impacts of two RNA binding proteins (ESRP/aCP) and one core 3' end processing factor (CstF64 and its paralog CstF64τ) on the regulation of APA. The APA identification analyses and motif analyses suggest a wide range of APA associated with the expression change of those proteins in different cell lines. In addition, for each protein, we have collect substantial evidence about the mechanism underlying the APA induction. Our findings could provide significant insights into the APA regulation mechanisms. In addition, we also conducted a research on the induction of APA in JEG-3 cells as a response to the change of oxygen supply (Hypoxia and Normoxia). Using a robustness protocol for specifically sequencing 3' end of mRNA, we identified more than 500 APA events and revealed a global shortening pattern of 3' UTR length as a result of hypoxia. The work on APA in this thesis largely increases the understanding of APA regulation by various proteins and provided new evidence for the APA in clinical condition.

Transkriptionsfaktoren (TF) sind wichtige Regulatoren der Genexpression. In Arabidopsis kodieren ca. 1500-2000 Gene für TF, von denen die Mehrheit bis heute nicht funktionell charakterisiert ist. Um die Aufklärung der TF-Funktionen weiter voranzutreiben, werden daher Analyse-Plattformen für Hochdurchsatzverfahren immer wichtiger. In den letzten Jahren sind umfangreiche Gateway® -kompatible ORF (open-reading-frame)-Kollektionen für Arabidopsis aufgebaut worden, die nun als nützliche Ressourcen für genetische Analysen zur Verfügung stehen. Auf Grundlage dieser Kollektionen wurde in dieser Arbeit eine neue Screening-Plattform etabliert, mit der trans-regulatorische Eigenschaften von TF in einem Hochdurchsatzverfahren untersucht werden können. Ein Mikrotiterplatten-System für Protoplastentransformationen erlaubt die transiente Koexpression von 96 verschiedenen TF-Expressionsvektoren mit einem Promotor:Luciferase-Reporter der Wahl. Das Transaktivierungspotential jedes einzelnen TF kann über die Luciferaseaktivität bestimmt werden, indem emittierte Lumineszenz in einem Luminometer detektiert wird. Die Funktionalität des PTA (Protoplast Trans Activation)-Systems wurde anhand einer Transaktivierungsstudie der bereits gut charakterisierten Promotoren von RD29A und PDF1.2 und der ERF (Ethylene Response Factor)-TF-Familie überprüft, wobei bekannte Bindungsspezifitäten der TF bestätigt werden konnten. Für das System wurde eine umfassende Arabidopsis TF-Kollektion aufgebaut. Ca. 950 verschiedene Gateway® -kompatible TF-Expressionsvektoren stehen für Screening-Ansätze zur Verfügung. Für das PTA-System wurden verschiedene Anwendungen etabliert. Neben transaktivierenden, konnten beispielsweise auch repressive Eigenschaften von TF bestimmt werden. Darüber hinaus wurde gezeigt, dass es möglich ist, (I) die Expression von Promotoren gezielt durch verschiedene Stimuli, wie Salz oder Pflanzenhormone zu modulieren, (II) Protein-Protein-Interaktionen zu bestimmen, sowie (III) den Einfluss von Signalmolekülen (wie z. B. Kinasen) auf ihre Aktivierungseigenschaften zu untersuchen. Das PTA-System wurde in verschiedenen Screening-Ansätzen zur Identifizierung transkriptioneller Regulatoren pflanzlicher Stressantworten eingesetzt. In einer Analyse des Auxin-induzierbaren GH3.3-Promotors wurde dabei gezeigt, dass weit mehr bZIP-TF Einfluss auf die Auxin-vermittelte GH3.3-Expression haben, als bisher angenommen. Beispielsweise zeigten bZIP16 und bZIP68 ein höheres Transaktivierungspotential, als die bisher beschriebenen bZIP-Regulatoren der GH3.3-Expression. In einem zweiten Ansatz wurde die koordinierte Regulation der Biosynthese von Tryptophan-abgeleiteten antimikrobiellen Sekundärmetaboliten (Indol-Glukosinolate, Camalexin) untersucht. Dabei konnten ERF-TF der phylogenetischen Gruppen VIII und IX als potentielle Regulatoren mehrerer wichtiger Gene der Biosynthesewege identifiziert werden. Mit einem zusätzlichen Screening-Ansatz der gesamten TF-Expressionsvektor-Kollektion und einem Markerpromotor des Camalexin-Biosynthesewegs wurden weitere potentielle Regulatoren identifiziert, von denen einige bereits in der Pathogenantwort beschrieben sind. In einem weiteren Schwerpunkt dieser Arbeit wurde die von Weiste et al. (2007) etablierte Arabidopsis thaliana TF-ORF-Überexpressions-Kollektion (AtTORF-EX) erweitert. Mit Hilfe des dafür entwickelten Hochdurchsatzverfahrens zur Generierung stabil transformierter Pflanzenlinien wurden neue Überexpressionssamen-Kollektionen hergestellt und anschließend in einem Screening-Ansatz auf erhöhte Toleranz gegenüber oxidativem Stress getestet, wobei die Chemikalie Paraquat als oxidativer Stress-Geber eingesetzt wurde. Die TF bZIP1 und OBP1 konnten dabei als Resistenz-vermittelnd identifiziert werden. Zusammenfassend wurden in dieser Arbeit mit Hilfe beider Systeme neue potentielle Regulatoren pflanzlicher Stressantworten identifiziert. / Transcription factors (TFs) are important cellular regulators of gene expression. In Arabidopsis approximately 1500-2000 genes encode for TFs. Until now, the majority of these genes has not been functionally characterized. To further promote the evaluation of TF function, high-throughput tools are required. In recent years, comprehensive Arabidopsis open reading frame (ORF) collections have been established, which are valuable resources for functional genomics. Based on these collections a high-throughput microtiter plate based Protoplast Trans Activation (PTA) system has been established to screen for TFs which regulate a given promoter:Luciferase construct in planta. 96 protoplast transfection experiments can be performed simultaneously in a standard microtiter plate. Transactivation of a promoter:Luciferase reporter is measured via luciferase imaging. A screening collection of roughly 950 TFs expression vectors has been assembled using Gateway® technology and can be tested in various screening approaches. In this respect, it is possible to analyze transactivating as well as repressive properties. Moreover (I) stimulus induced transcription, (II) studies of protein-protein interaction and (III) the impact of signaling molecules (e.g. kinases) on the promoters activation potential can be measured. To demonstrate the feasibility of the high-throughput system, the transactivating properties of the Ethylene Response Factor (ERF) TF family were studied in combination with the well-characterized RD29A and PDF1.2 promoters. By this means, known binding specificities of the TF family were confirmed. Furthermore, the PTA-System was applied to identify transcriptional regulators involved in plant stress responses. In one approach the influence of bZIP TFs on the auxin-inducibility of the GH3.3-promoter was studied. In particular, bZIP16 and bZIP68 showed a stronger transactivation potential than those bZIPs which were previously described to regulate this auxin-responsive promoter. In an independent approach the transcriptional regulation of tryptophan-derived antifungal compounds (indol-glycosinolates, camalexin) biosynthesis has been studied. ERF TFs of the groups VIII and IX were identified as potential regulators of several biosynthetic genes. A subsequent screening approach of a key promoter of the camalexin biosynthetic pathway disclosed further potential regulators. Among these TFs, many have been described previously in plant pathogen responses. As a second approach to examine TF function the Arabidopsis thaliana TF ORF-EXpression-library (AtTORF-EX) established by Weiste et al. (2007) was extended. The developed high-throughput transformation procedure was used to generate new TF overexpression seed collections. Afterwards the library was applied in a screening approach to identify regulators which mediate enhanced tolerance towards the oxidative stress inducing chemical Paraquat. Thus, the TFs bZIP1 and OBP1 were found to promote resistance against Paraquat when overexpressed in Arabidopsis. In summary, using both approaches novel putative regulators of plant stress response signaling were identfied.

Ionisierende Strahlung (IR) ist in der medizinischen Diagnostik und in der Tumortherapie von zentraler Bedeutung, kann aber Genominstabilität und Krebs auslösen. Strahleninduzierte Genominstabilität (RIGI) ist in den klonalen Nachkommen bestrahlter Zellen zu beobachten, die zugrundeliegenden Mechanismen sind jedoch noch unverstanden. Zur Erforschung von verzögerten Strahleneffekten wurden primäre embryonale Fibroblastenkulturen mit 2 Gray bestrahlt und für 20 Populationsverdopplungen klonal expandiert. Zellen, die keiner Strahlung ausgesetzt waren, dienten als Kontrolle für normale Alterungsprozesse. Die Klone wurden durch klassische Chromosomenbänderungstechniken analysiert und in Abhängigkeit der Stabilität ihres Genoms in Gruppen eingeteilt. Ein Klon wurde als stabil gewertet, wenn die analysierten Metaphasen keinerlei Auffälligkeiten zeigten, während instabile Klone ein Mosaik aus normalen und abnormalen Metaphasen waren. Die Zellen von zwei Spendern wurden untersucht, um interindividuelle Strahleneffekte zu beurteilen. Nach Bestrahlung hatten mehr als die Hälfte der Klone Metaphasen mit strukturellen Aberrationen und wurden dementsprechend als instabil eingestuft. Drei Klone zeigten zudem numerische Aberrationen, die ausschließlich das Y Chromosom betrafen. Fluoreszenz in situ Hybridisierungen verifizierten diese Beobachtung in weiteren Klonen und deuteten an, dass der Verlust des Y Chromosoms mit RIGI assoziiert ist. Molekulare Karyotypisierungen mit SNP Arrays ergaben, dass IR in den Klonen Veränderungen der Kopienzahl auslöst. Ein Unterschied zwischen chromosomal stabilen und instabilen Klonen konnte jedoch nicht detektiert werden. Chromosomale Regionen, in denen sich bekanntermaßen fragile Stellen befinden, zeigten eine Anhäufung von CNVs. Ein RIGI Effekt konnte für die fragile Stelle 3B, in der sich das Gen FHIT befindet, identifiziert werden. Exom Sequenzierungen von Klonen und der entsprechenden Massenkultur zeigten eine alterungsassoziierte Entstehung von Varianten. Der Effekt wurde durch die Einwirkung von Strahlung erhöht. Auf Ebene von einzelnen Nukleotiden konnten ebenfalls Anhäufungen von Schäden in bestimmten genomischen Bereichen detektiert werden, dieser Effekt ging ohne die typischen RIGI Endpunkte einher. Die Ergebnisse der vorliegenden Arbeit zeigen, dass strahlenbedingte Veränderungen auf verschiedenen Ebenen (Chromosomen, Genkopienzahl und einzelnen Nukleotiden) beobachtet werden können, welche, unabhängig von RIGI, die Tumorentstehung begünstigen. Speziell Veränderungen im FRA3B Lokus und der Verlust des Y Chromosoms scheinen jedoch über die Destabilisierung des Genoms zur Krebsentstehung beizutragen. / Ionizing radiation is important in medical diagnosis and cancer treatment but can lead to genomic instability and secondary malignancies as a late effect. Radiation induced genomic instability (RIGI) can be observed in the progeny of irradiated cells but the underlying cellular processes remain to be elucidated. To study delayed genetic radiation effects, single cell fibroblast clones from two different male donors were established after a single X ray dose of 2 Gray. Non irradiated cells were used as controls to account for aging related effects. Clones were characterized using chromosome banding analysis. Stable clones were endowed with no karyotype abnormalities in all analysed metaphases after 20 Population doublings, whereas unstable clones showed both normal and abnormal metaphases. Two fibroblast strains were used to detect differences in radiation sensitivity. More than half of the irradiated clones were chromosomally abnormal and thus classified as unstable. Both banding analysis and fluorescence in situ hybridization revealed an increased rate of Y chromosome loss in irradiated clones which might be associated with RIGI. Using SNP Arrays, an increased rate of de novo copy number variations (CNVs) was detected in the progeny of irradiated cells when compared to non irradiated controls. However, a significant difference between chromosomally stable and unstable clones was not found. CNVs clustered in chromosomal regions that are associated with known fragile sites. The fragile site 3B, which encompasses the gene FHIT, was found to be affected by CNVs in unstable clones suggesting a RIGI related effect. Exome sequencing of clones and the respective primary cultures revealed an increased rate of variants during in vitro aging. This effect was further increased by radiation exposure. Analysis of single nucleotides showed a RIGI independent accumulation of damage in specific regions. The results of the present study show that radiation induced changes can manifest as chromosomal abnormalities, copy number variations and DNA sequence mutations promoting tumorigenesis independent from RIGI. However, changes in FRA3B and loss of Y chromosome might trigger cancer through destabilizing the genome.

In traditional communication networks, information is delivered as a sequence of packets from source to destination by routing through intermediate nodes which only store and forward those packets. Recent research shows that routing alone is not sufficient to achieve the maximum information transmission rate across a communication network [1]. Network coding is a currently researched topic in information theory that allows the nodes to generate output data by encoding their received data. Thus, nodes may mix the input packets together and send them out as fewer packets. Potential throughput benefit is the initial motivation of the research in network coding. Group communications refers to many-to-many communication sessions where multiple sources multicast independent data to the same group of receivers. Researchers always treat group communications as a simple problem by adding a super source which is connected to all the sources with unbounded capacity links. However, it cannot control the fairness between different sources in this method. Additionally, the method may be incorrect in some scenarios. In this research, we will present an example to illustrate that and analyze the reason for that. The maximum multicast throughput problem using routing only is NP-complete. Wu et al. introduced a greedy tree-packing algorithm based on Prim's algorithm as an alternate sub-optimal solution [2] . This algorithm is modified in this work for group communications problem with routing in undirected networks. The throughput benefit for network coding has been shown in directed networks. However, in undirected networks, researchers have only investigated the multiple unicast sessions problem and one multicast session problem. In most cases, network coding does not seem to yield any throughput benefit [3] [4]. Li et al. introduced a c-flow algorithm using linear programming to find the maximum throughput for one multicast session using network coding [3] . We adapted this algorithm for group communications with network coding in undirected networks to overcome the disadvantage of the traditional method. Both algorithms were simulated using MATLAB and their results were compared. Further, it is demonstrated that network coding does not have constant throughput benefit in undirected networks.

Classic Galactosemia (CG) is an autosomal recessive disorder caused by deleterious mutations of galactose-1-phosphate uridyltransferase (E.C. 2.7.7.12) (GALT) gene, which results in the inability to metabolize galactose and the accumulation of galactose-1-phosphate (gal-1-p) in patients' cells. Newborn screening has resulted in presymptomatic diagnosis and treatment. Although a galactose-restricted diet prevents the neonatal lethality of this disorder, many well-treated patients continue to develop debilitating complications such as premature ovarian insufficiency (POI), dyspraxic speech, ataxia and other neurological defects. The causes of these unsatisfactory outcomes remain unclear, but accumulation of gal-1-p is regarded as the major factor responsible for these chronic complications. In previous studies we found that gal-1-p was a competitive inhibitor of the UTP dependent, glucose-1-phosphate pyrophosphorylase (EC 2.7.7.9) and inositol monophosphatase (EC 3.1.3.25). As a result there were deficiencies in cellular UDP-glucose and UDP-galactose as well as impaired G-protein-stimulated inositol responses of Ca++ release, respectively. In this study, we found that when we challenged GALT-deficient yeast and GALT-deficient human diploid fibroblasts with galactose, these cells exhibited environmental stress and endoplasmic reticulum (ER) stress, which was characterized by the up-regulation of the gene encoding the master regulator of ER stress, GRP78/BiP. In separate studies using GALT-deficient diploid fibroblasts and comparative expression arrays, we found that the expression level of a tumor suppressor gene called aplysia ras homolog I (ARHI) was significantly higher in patient cells under galactose challenge. This ARHI gene was lost in rodents during evolution and GALT knockout mice did not express the human phenotype for galactosemia whereas over-expression of this gene in transgenic mice resulted in phenotypes characteristic of those seen in patients with galactosemia. We therefore propose here that ARHI could be an important target of galactose toxicity in Classic Galactosemia, and also explain the absence of patient phenotypes in GALT knock-out mice. In order to prevent accumulation of gal-1-p caused by GALT-deficiency, we experimentally screened over 300,000 chemical compounds against human galactokinase (GALK) in vitro. To date, we obtained from two high-throughput screenings (HTS), 200 GALK inhibitors with IC50s ranging from 700nM to 35μM. We subsequently established selectivity and toxicity profiles of 34 selected GALK inhibitors. Based on these results, we selected four compounds for further characterization, which included kinetic studies, site-directed mutagenesis and molecular docking experiments. From these experiments, we learned how these compounds interacted with the GALK enzyme and built detailed binding models for each of them. We demonstrated that three of the in vitro inhibitors of GALK could lower intracellular gal-1-p accumulation in GALT-deficient cells. Of considerable interest to us was that one of the compounds, cluster 25-1, not only reduced gal-1-p accumulation, but also corrected the level of GRP78/BiP back to background in the galactose-challenged GALT-deficient cells. These results were the first to demonstrate a direct link between GALT-deficiency and ER stress and provided proof of concept that we could prevent both gal-1-p accumulation and ER stress with GALK inhibitors in GALT deficient human cells. Lastly, we developed a new, virtual method of identifying novel GALK inhibitors by combining software-based, high-throughput virtual screening (HTVS) and fragment-based linkage using docking software. The initial HTVS validation experiments with compounds from the "ZINC" database identified four active GALK inhibitors with IC50s ranging from 70μM to 400μM. We then used HTVS to identify chemical fragments which bind to the active site of the human GALK enzyme. Using fragment-linking software, we identified chemical fragments which could potentially result in high-affinity inhibitors when chemically joined.

Membrane proteins are essential for life, and roughly one-quarter of all open reading frames in sequenced genomes code for membrane proteins. Unfortunately, our understanding of membrane proteins lags behind that of soluble proteins, and is best reflected by the fact that only 0.5% of the structures deposited in the protein data-bank (PDB) are of membrane proteins. This discrepancy has arisen because their hydrophobicity - which enables them to exist in a lipid environment - has made them resistant to most traditional approaches used for procuring knowledge from their soluble counter-parts. As such, novel methods are required to facilitate our knowledge acquisition of membrane proteins. In this thesis a generic approach for rapidly obtaining information on membrane proteins from the classic bacterial encyclopedia Escherichia coli is described. We have developed a Green Fluorescent Protein C-terminal tagging approach, with which we can acquire information as to the topology and ‘expressibility’ of membrane proteins in a high-throughput manner. This technology has been applied to the whole E. coli inner membrane proteome, and stands as an important advance for further membrane protein research.