This thesis summarizes the results of studies on two aspects of nucleic acids. Chemically modified antisense oligonucleotides (AONs) have been evaluated with regards to their suitability for mRNA targeting in an antisense approach (Paper I – III). The chemically modified nucleotidic units 2'-O-Me-T, 2'-O-MOE-T, oxetane-T, LNA-T, azetidine-T, aza-ENA-T, carbocyclic-ENA-T and carbocyclic-LNA-T were incorporated into 15-mer AONs and targeted against a 15-mer RNA chosen from the coding region of SV-40 large T antigen. The comparative study showed that a single modified nucleotide in the AON with North-East locked sugar (oxetane-T and azetidine-T) lowered the affinity for the complementary RNA whereas North locked sugars (LNA-T, aza-ENA-T, carbocyclic-ENA-T, and carbocyclic-LNA-T) significantly improved the affinity. A comparative RNase H digestion study showed that modifications of the same type (North-East type or North type) in different sequences gave rise to similar cleavage patterns. Determination of the Michaelis-Menten parameters by kinetic experiments showed that the modified AONs recruit RNase H resulting in enhanced turnover numbers (kcat) although with weaker enzyme-substrate binding (1/Km) compared to the unmodified AON. The modified AONs were also evaluated with regards to resistance towards snake venom phosphodiesterase and human serum to estimate their stability toward exonucleases. The aza-ENA-T and carbocyclic-ENA-T modified AONs showed improved stability compared to all other modified AONs. In general, the modified AONs with North type nucleotides (except LNA-T) were found to be superior to the North-East type as they showed improved target affinity, comparable RNase H recruitment capability and improved exonuclease stability. The second aspect studied in this thesis is based on physicochemical studies of short RNA molecules utilizing NMR based pH titration and alkaline hydrolysis reactions (Paper IV – V). The NMR based (1H and 31P) pH titration studies revealed the effect of guaninyl ion formation, propagated electrostatically through a single stranded chain in a sequence dependent manner. The non-identical electronic character of the internucleotidic phosphodiesters was further verified by alkaline hydrolysis experiments. The internucleotidic phosphodiesters, which were influenced by guaninyl ion formation, were hydrolyzed at a faster rate than those sequences where such guaninyl ion formation was prevented by replacing G with N1-Me-G.

In 2019, Adams, Ehlting, and Edwards developed a four-variable system of ordinary differential equations modelling phenylalanine metabolism in plants according to Michaelis-Menten kinetics. Analysis of the model suggested that when a series of reactions known as the Shikimate Ester Loop (SEL) is included, phenylalanine flux into primary metabolic pathways is prioritized over flux into secondary metabolic pathways when the availability of shikimate, a phenylalanine precursor, is low. Adams et al. called this mechanism of metabolic regulation the Precursor Shutoff Valve (PSV). Here, we attempt to simplify Adams and colleagues’ model by reducing the system to three variables and replacing the Michaelis-Menten terms with piecewise-defined approximations we call ramp functions. We examine equilibria and stability in this simplified model, and show that PSV-type regulation is still present in the version with the SEL. Then, we define a class of systems structurally similar to the simplified Adams model called biochemical ramp systems. We study the properties of the Jacobian matrices of these systems and then explore equilibria and stability in systems of n ≥ 2 variables. Finally, we make several suggestions regarding future work on biochemical ramp systems. / Graduate

In dieser Arbeit wurden zwei katalytische Modellreaktionen studiert. Zunächst die katalytische Reduktion von p-Nitrophenol (Nip) mit Natriumborhydrid (BH_4^-). Diese verläuft entlang der direkten Route: Dabei wird Nip über p-Hydroxylaminophenol (Hx) zum Produkt p-Aminophenol (Amp) reduziert. Ein kinetisches Modell wird vorgestellt, dass die Reaktion auf Basis des Langmuir-Hinshelwood (LH) Mechanismus beschreibt. Die Lösung der Gleichungen gibt die Nip Konzentration als Funktion der Zeit, welche direkt mit den experimentellen Daten verglichen werden kann. Werden als Katalysator auf sphärischen Polyeletrolytbürsten stabilisierte Gold Nanopartikel (SPB-Au) verwendet, zeigt sich eine gute Übereinstimmung und unterstreicht die Allgemeingültigkeit der direkten Route. Der zweite Teil beschäftigt sich mit der katalytischen Oxidation von 3,3’,5,5’-Tetramethylbenzidin (TMB) durch Wasserstoffperoxid (H_2O_2) an SPB-Pt Nanopartikeln. Dabei wurden die Katalyse mithilfe zweier Modelle analysiert: Michaelis-Menten (MM) und Langmuir-Hinshelwood (LH). Im MM Modell wird die Oxidation von TMB durch die Nanopartikel mit der Peroxidase katalysierten TMB Oxidation unter Annahme des Ping-Pong Mechanismus verglichen. Es wurde gezeigt, dass die häufig verwendete Analyse der initialen Reaktionsraten große Fehler verursacht und zu inkonsistenten Ergebnissen führt. Dies zeigt dass dieses Vorgehen zu Analyse der Oxidation von TMB nicht geeignet ist. Im LH Modell wird angenommen dass H_2O_2 und TMB im ersten Schritt auf der Oberfläche der Nanopartikel adsorbieren. Das LH Modell mit Produktinhibition ermöglicht hierbei eine zufriedenstellende Beschreibung der kinetischen Daten bis zu einem Umsatz von 40 %. Die gesamte Analyse zeigt, dass das Langmuir-Hinshelwood Modell die bessere Näherung zur Beschreibung der Kinetik der Nanopartikel katalysierten TMB Oxidation bietet / In this work, two catalytic model reactions were studied using different metallic nanoparticles in aqueous solution. One is the catalytic reduction of p-nitrophenol (Nip) by sodium borohydride (BH_4^-). The reaction proceeds in the following route: Nip is first reduced to p-hydroxylaminophenol (Hx) which is further reduced to the final product p-aminophenol (Amp). Here we present a full kinetic scheme according to Langmuir-Hinshelwood mechanism (LH). The solution of the kinetic equations gives the concentration of Nip as the function of time, which can be directly compared with the experimental data. Satisfactory agreement is found for reactions catalyzed by Au nanoparticles immobilized in spherical polyelectrolyte brushes (SPB-Au) verifying the validity of the reaction route. In the second part, we present a study on the catalytic oxidation of 3,3’,5,5’-tetramethylbenzidine (TMB) by hydrogen peroxide (H_2O_2) with SPB-Pt nanoparticles. The catalysis was analyzed by two different models: Michaelis-Menten (MM) and Langmuir-Hinshelwood (LH) model. In the MM model, the oxidation of TMB catalyzed by nanoparticles is inferred to the catalysis of peroxidase assuming the Ping-Pong mechanism. It is found that the frequently used analysis with the initial rates introduces large errors and leads to inconsistent results, which indicates that such approach is not suitable to analyze the oxidation of TMB catalyzed by nanoparticles. In the LH model, it is assumed that H_2O_2 and TMB adsorb on the surface of nanoparticles in the first step. The LH model with product inhibition gives satisfactory description of the kinetic data up to a conversion of 40%. The entire analysis demonstrates that the Langmuir-Hinshelwood model provides a superior approach to describe the kinetics of TMB oxidation catalyzed by nanoparticles.

Les microARN sont de petits ARN non codants d'environ 22 nucléotides impliqués dans la régulation de l'expression des gènes. Ils ciblent les régions complémentaires des molécules d'ARN messagers que ces gènes codent et ajustent leurs niveaux de traduction en protéines en fonction des besoins de la cellule. En s'attachant à leurs cibles par complémentarité partielle de leurs séquences, ces deux groupes de molécules d'ARN compétitionnent activement pour former des interactions régulatrices. Par conséquent, prédire quantitativement les concentrations d'équilibres des duplexes formés est une tâche qui doit prendre un compte plusieurs facteurs dont l'affinité pour l'hybridation, la capacité à catalyser la cible, la coopérativité et l'accessibilité de l'ARN cible. Dans le modèle que nous proposons, miRBooking 2.0, chaque interaction possible entre un microARN et un site sur un ARN cible pour former un duplexe est caractérisée par une réaction enzymatique. Une réaction de ce type opère en deux phases : une formation réversible d'un complexe enzyme-substrat, le duplexe microARN-ARN, suivie d'une conversion irréversible du substrat en produit, un ARN cible dégradé, et de la restitution l'enzyme qui pourra participer à une nouvelle réaction. Nous montrons que l'état stationnaire de ce système, qui peut comporter jusqu'à 10 millions d'équations en pratique, est unique et son jacobien possède un très petit nombre de valeurs non-nulles, permettant sa résolution efficace à l'aide d'un solveur linéaire épars. Cette solution nous permet de caractériser précisément ce mécanisme de régulation et d'étudier le rôle des microARN dans un contexte cellulaire donné. Les prédictions obtenues sur un modèle de cellule HeLa corrèlent significativement avec un ensemble de données obtenu expérimentalement et permettent d'expliquer remarquablement les effets de seuil d'expression des gènes. En utilisant ces prédictions comme condition initiale et une méthode d'intégration numérique, nous simulons en temps réel la réponse du système aux changements de conditions expérimentales. Nous appliquons ce modèle pour cibler des éléments impliqués dans la transition épithélio-mésenchymateuse (EMT), un mécanisme biologique permettant aux cellules d'acquérir une mobilité essentielle pour proliférer. En identifiant des éléments transcrits différentiellement entre les conditions épithéliale et mésenchymateuse, nous concevons des microARN synthétiques spécifiques pour interférer avec cette transition. Pour ce faire, nous proposons une méthode basée sur une recherche gloutonne parallèle pour rechercher efficacement l'espace de la séquence du microARN et présentons des résultats préliminaires sur des marqueurs connus de l'EMT. / MicroRNAs are small non-coding RNAs of approximately 22 nucleotide long involved in the regulation of gene expression. They target complementary regions to the RNA transcripts molecules that these genes encode and adjust the concentration according to the needs of the cell. As microRNAs and their RNA targets binds each other with imperfect complementarity, these two groups actively compete to form regulatory interactions. Consequently, attempting to quantitatively predict their equilibrium concentrations is a task that must take several factors into account, including the affinity for hybridization, the ability to catalyze the target, cooperation, and RNA accessibility. In the model we propose, miRBooking 2.0, each possible interaction between a microRNA and a binding site on a target RNA is characterized by an enzymatic reaction. A reaction of this type operates in two phases: a reversible formation of an enzyme-substrate complex, the microRNA-RNA duplex, and an irreversible conversion of the substrate in an RNA degradation product that restores the enzyme which can subsequently participate to other reactions. We show that the stationary state of this system, which can include up to 10 million equations in practice, has a very shallow Jacobian, allowing its efficient resolution using a sparse linear solver. This solution allows us to characterize precisely the mechanism of regulation and to study the role of microRNAs in a given cellular context. Predictions obtained on a HeLa S3 cell model correlate significantly with a set of experimental data obtained experimentally and can remarkably explain the expression threshold effects of genes. Using this solution as an initial condition and an explicit method of numerical integration, we simulate in real time the response of the system to changes of experimental conditions. We apply this model to target elements involved in the Epithelio-Mesenchymal Transition (EMT), an important mechanism of tumours proliferation. By identifying differentially expressed elements between the two conditions, we design synthetic microRNAs to interfere with the transition. To do so, we propose a method based on a parallel greedy best-first search to efficiently crawl the sequence space of the microRNA and present preliminary results on known EMT markers.

<p>The main thesis hub was on development of two electrochemical biosensors for the determination of 17&beta / -estradiol: an estrogenic endocrine disrupting compound. Endocronology have significantly shown that the endocrine disruptors contribute tremendously to health problems encountered by living species today, problems such as breast cancer, reproductive abnormalities, a decline in male population most significant to aquatic vertebrates, reduced fertility and other infinite abnormalities recurring in the reproductive system of mostly male species. The first biosensor developed for the detection of 17&beta / -estradiol endocrine disrupting compound / consisted of an electro-active polymeric 3-mercaptoprorionic acid capped zinc selenide quantum dots cross linked to horseradish peroxidase (HRP) enzyme as a bio-recognition element. The second biosensor developed was comprised of cysteamine self assembled to gold electrode, with 3-mercaptopropionic acid capped zinc selenide quantum dots cross linked to cytochrome P450-3A4 (CYP3A4) enzyme in the presence of 1-ethyl-3-(3- dimethylaminopropyl)carbodiimide hydrochloride and succinimide.</p>

<p>The main thesis hub was on development of two electrochemical biosensors for the determination of 17&beta / -estradiol: an estrogenic endocrine disrupting compound. Endocronology have significantly shown that the endocrine disruptors contribute tremendously to health problems encountered by living species today, problems such as breast cancer, reproductive abnormalities, a decline in male population most significant to aquatic vertebrates, reduced fertility and other infinite abnormalities recurring in the reproductive system of mostly male species. The first biosensor developed for the detection of 17&beta / -estradiol endocrine disrupting compound / consisted of an electro-active polymeric 3-mercaptoprorionic acid capped zinc selenide quantum dots cross linked to horseradish peroxidase (HRP) enzyme as a bio-recognition element. The second biosensor developed was comprised of cysteamine self assembled to gold electrode, with 3-mercaptopropionic acid capped zinc selenide quantum dots cross linked to cytochrome P450-3A4 (CYP3A4) enzyme in the presence of 1-ethyl-3-(3- dimethylaminopropyl)carbodiimide hydrochloride and succinimide.</p>

Magister Scientiae - MSc / The main thesis hub was on development of two electrochemical biosensors for the determination of 17β-estradiol-estradiol: an estrogenic endocrine disrupting compound. Endocronology have significantly shown that the endocrine disruptors contribute tremendously to health problems encountered by living species today, problems such as breast cancer, reproductive abnormalities, a decline in male population most significant to aquatic vertebrates, reduced fertility and other infinite abnormalities recurring in the reproductive system of mostly male species. The first biosensor developed for the detection of 17β-estradiol-estradiol endocrine disrupting compound; consisted of an electro-active polymeric 3-mercaptoprorionic acid capped zinc selenide quantum dots cross linked to horseradish peroxidase (HRP) enzyme as a bio-recognition element. The second biosensor developed was comprised of cysteamine self assembled to gold electrode, with 3-mercaptopropionic acid capped zinc selenide quantum dots cross linked to cytochrome P450-3A4 (CYP3A4) enzyme in the presence of 1-ethyl-3-(3- dimethylaminopropyl)carbodiimide hydrochloride and succinimide. / South Africa

No description available.

Cette thèse est consacrée à la modélisation mathématique de l'hématopoïèse et des maladies sanguines. Plusieurs modèles traitant d'aspects différents et complémentaires de l'hématopoïèse y sont étudiés.Tout d'abord, un modèle multi-échelle de l'érythropoïèse est analysé, dans lequel sont décrits à la fois le réseau intracellulaire, qui détermine le comportement individuel des cellules, et la dynamique des populations de cellules. En utilisant des données expérimentales sur les souris, nous évaluons les rôles des divers mécanismes de retro-contrôle en réponse aux situations de stress.Ensuite, nous tenons compte de la distribution spatiale des cellules dans la moelle osseuse, question qui n'avait pas été étudiée auparavant. Nous décrivons l'hématopoïèse normale à l'aide d'un système d'équations de réaction-diffusion-convection et nous démontrons l'existence d'une distribution stationnaire des cellules. Puis, nous introduisons dans le modèle les cellules malignes. Pour certaines valeurs des paramètres, la solution "disease-free" devient instable et une autre solution, qui correspond à la leucémie, apparaît. Cela mène à la formation d'une tumeur qui se propage dans la moelle osseuse comme une onde progressive. La vitesse de cette propagation est étudiée analytiquement et numériquement. Les cellules de la moelle osseuse échangent des signaux qui régulent le comportement cellulaire. Nous étudions ensuite une équation integro-différentielle qui décrit la communication cellulaire et nous prouvons l'existence d'une solution du type onde progressive en utilisant la théorie du degré topologique et la méthode de Leray et Schauder. L'approche multi-agent est utilisée afin d'étudier la distribution des différents types de cellules dans la moelle osseuse.Finalement, nous étudions un modèle de type "Physiologically Based Pharmacokinetics-Pharmacodynamics" du traitement de la leucémie par l'AraC. L'AraC agit comme chimiothérapie et induit l'apoptose de toutes les cellules proliférantes, saines et malignes. La pharmacocinétique donne accès à la concentration intracellulaire d'AraC. Cette dernière, à son tour, détermine la dynamique des populations cellulaires et, par conséquent, l'efficacité de différents protocoles de traitement. / This PhD thesis is devoted to mathematical modelling of haematopoiesis and blood diseases. We investigate several models, which deal with different and complementary aspects of haematopoiesis.The first part of the thesis concerns a multi-scale model of erythropoiesis where intracellular regulatory networks, which determine cell choice between self-renewal, differentiation and apoptosis, are coupled with dynamics of cell populations. Using experimental data on anemia in mice, we evaluate the roles of different feedback mechanisms in response to stress situations. At the next stage of modelling, spatial cell distribution in the bone marrow is taken into account, the question which has not been studied before. We describe normal haematopoiesis with a system of reaction-diffusion-convection equations and prove existence of a stationary cell distribution. We then introduce malignant cells into the model. For some parameter values the disease free solution becomes unstable and another one, which corresponds to leukaemia, appears. This leads to the formation of tumour which spreads in the bone marrow as a travelling wave. The speed of its propagation is studied analytically and numerically. Bone marrow cells exchange different signals that regulate cell behaviour. We study, next, an integro-differential equation which describes cell communication and prove the existence of travelling wave solutions using topological degree and the Leray-Schauder method. Individual based approach is used to study distribution of different cell types in the bone marrow. Finally, we investigate a Physiologically Based Pharmacokinetics-Pharmacodynamics model of leukaemia treatment with AraC drug. AraC acts as chemotherapy, inducing apoptosis of all proliferating cells, normal and malignant. Pharmacokinetics provides the evolution of intracellular AraC. This, in turn, determines cell population dynamics and, consequently, efficacy of treatment with different protocols.

In biosensors, printing involves the transfer of materials, proteins or cells to a substrate. It offers many capabilities thatcan be utilized in many applications, including rapid deposition and patterning of proteins or other biomolecules.However, issues such as stability when using biomaterials are very common. Using proteins, enzymes, as biomaterialink require immobilizations and modifications due to changing in the structural conformation of the enzymes, whichleads to changes in the properties of the enzyme such as enzymatic activity, during the printing procedures andrequirements such as solvent solutions. In this project, an innovative approach for the fabrication of proteinmicroparticles based on cross-linking interchange reaction is presented to increase the stability in different solvents.The idea is to decrease the contact area between the enzymes and the surrounding environment and also preventconformation changes by using protein microparticles as an immobilization technique for the enzymes. The theory isbased on using a cross-linking reagent trigging the formation of intermolecular bonds between adjacent proteinmolecules leading to assembly of protein molecules within a CaCO3 template into a microparticle structure. TheCaCO3 template is removed by changing the solution pH to 5.0, leaving behind pure highly homogenous proteinmicroparticles with a size of 2.4 ± 0.2 μm, according to SEM images, regardless of the incubation solvents. Theenzyme model used is Horse Radish Peroxidase (HRP) with Bovine Serum Albumin (BSA) and Glutaraldehyde (GL)as a cross-linking reagent. Furthermore, a comparison between the enzymatic activity of the free HRP and the BSAHRPprotein microparticles in buffer and different solvents are obtained using Michaelis-Menten Kinetics bymeasuring the absorption of the blue product produced by the enzyme-substrate interaction using a multichannelspectrophotometer with a wavelength of 355 nm. 3,3’,5,5’-tetramethylbenzidine (TMB) was used as substrate. As aresult, the free HRP show an enzymatic activity variation up to ± 50 % after the incubation in the different solventswhile the protein microparticles show much less variation which indicate a stability improvement. Moreover, printingthe microparticles require high microparticle concentration due to contact area decreasing. However, usingmicroparticles as a bioink material prevent leakage/diffusion problem that occurs when using free protein instead.