This research project presents a comprehensive functional analysis of a complex prokaryotic signal transduction system and the mechanisms underlying its evolution. The chemotaxis system regulates motility in prokaryotes and is their most complex signal transduction system. The system has been extensively characterized experimentally, but recent studies have created new questions about the function and origin of this system. Comparative genomics analyses are well-suited for studying the chemotaxis system since it is present in taxonomically diverse organisms. The first aim of this project is to understand the evolutionary history of the chemotaxis system that has resulted in the diversity of chemotaxis systems that have been experimentally. The results reveal three functional families of chemotaxis systems that regulate flagellar motility, type IV pili motility, and non-motility outputs. The flagellar family shows extensive diversity with 10 conserved classes that have variable accessory proteins, and these classes show a co-evolutionary relationship with flagella. The second aim of this project is to analyze the molecular evolution of chemotaxis system components and utilize that information to predict the contact sites involved in protein-protein interactions. The analysis supports that there is evolutionary pressure at the amino acid sequence level to maintain protein-protein interactions. From this observation, a method to predict the contact sites of protein-protein interactions from sequence information alone was developed and validated by experimental and structural information.

Tous les êtres vivants présentent un arsenal de défenses contre les pathogènes, et la réponse inflammatoire constitue le processus initial de cette défense, qui s’achève par la réparation des tissus lésés. Paradoxalement, un processus inflammatoire prolongé est également associé à de nombreuses pathologies comme l’athérosclérose, l’asthme, les maladies auto-immunes mais aussi certains cancers. Le recrutement excessif de leucocytes au site de l’inflammation est un processus commun à ces pathologies. Dès lors, la compréhension et la maîtrise du phénomène complexe et finement orchestré de la migration sélective des populations leucocytaires, appelée chimiotactisme, sont des enjeux majeurs de la recherche médicale contemporaine. <p>Les récepteurs aux peptides formylés bactériens et mitochondriaux (FPRs) forment la première famille de récepteurs chimiotactiques identifiée. Elle comprend trois membres, FPR1, 2 et 3, présentant un haut niveau de similitude et partageant certains de leurs multiples ligands. Le troisième membre de ce groupe, FPR3, reste actuellement le moins bien connu. Récemment, un agoniste de FPR3, affin et spécifique, a été identifié dans le laboratoire. Il s’agit du peptide F2L, qui correspond aux 21 premiers acides aminés de la protéine intracellulaire HEBP1.<p><p>Dans le cadre de ce travail de thèse, nous nous sommes attelé à la caractérisation approfondie du récepteur FPR3 et son ligand peptidique F2L. <p>Dans un premier temps, et à l’aide d’anticorps validés dans le cadre de ce travail, nous avons montré que le peptide F2L induit le chimiotactisme d’un ensemble de populations leucocytaires qui expriment FPR3, dont les sous-populations de macrophages des poumons, du colon et de la peau, les éosinophiles et les cellules dendritiques plasmacytoïdes. Cette distribution suggère, pour FPR3, une fonction dans la réponse inflammatoire. <p>Nous avons pu montrer ensuite que F2L peut être généré par la protéolyse de son précurseur, HEBP1, sous l’action de la cathepsine D des macrophages. La cathepsine D est une aspartique protéase lysosomiale impliquée dans l’homéostasie cellulaire, les processus apoptotiques et inflammatoires physiologiques et pathologiques, et dans le développement tumoral. Il s’agit désormais d’identifier dans quel compartiment et sous quelles conditions F2L est produit et sécrété. <p>Enfin, parallèlement à ces travaux, nous avons démontré que la cathepsine G, une sérine protéase contenue dans les granules azurophiles des neutrophiles, active également le récepteur FPR3. Des résultats préliminaires suggèrent un mode d’activation alternatif du récepteur, impliquant la protéolyse d’un troisième partenaire et la génération d’un agoniste actuellement non identifié. <p><p>Le couple FPR3-F2L semble dès lors impliqué dans l’induction ou la résolution de la réponse inflammatoire en recrutant les éosinophiles, monocytes, macrophages et cellules dendritiques au site de la lésion. / Doctorat en Sciences agronomiques et ingénierie biologique / info:eu-repo/semantics/nonPublished

BACKGROUND: Bone remodeling relies on the tightly regulated interplay between bone forming osteoblasts and bone digesting osteoclasts. Several studies have now described the molecular mechanisms by which osteoblasts control osteoclastogenesis and bone degradation. It is currently unclear whether osteoclasts can influence bone rebuilding. METHODOLOGY/PRINCIPAL FINDINGS: Using in vitro cell systems, we show here that mature osteoclasts, but not their precursors, secrete chemotactic factors recognized by both mature osteoblasts and their precursors. Several growth factors whose expression is upregulated during osteoclastogenesis were identified by DNA microarrays as candidates mediating osteoblast chemotaxis. Our subsequent functional analyses demonstrate that mature osteoclasts, whose platelet-derived growth factor bb (PDGF-bb) expression is reduced by siRNAs, exhibit a reduced capability of attracting osteoblasts. Conversely, osteoblasts whose platelet-derived growth factor receptor beta (PDGFR-beta) expression is reduced by siRNAs exhibit a lower capability of responding to chemotactic factors secreted by osteoclasts. CONCLUSIONS/SIGNIFICANCE: We conclude that, in vitro mature osteoclasts control osteoblast chemotaxis via PDGF-bb/PDGFR-beta signaling. This may provide one key mechanism by which osteoclasts control bone formation in vivo.

Diese Arbeit untersucht den Zusammenhang zwischen Mechanismen der translationalen Regulation und der Genomorganisation in Bakterien. Der erste Teil der Arbeit analysiert die Beziehung zwischen der Translationseffizienz von Genen und der Häufigkeit bestimmter Codons am Genanfang. Es ist bekannt, dass die Häufigkeitsverteilung der Codons am Anfang der Gene bei einigen Organismen eine andere ist als sonst im Genom. Durch die systematische Analyse von ungefähr 400 bakteriellen Genomen, evolutionären Simulationen und experimentellen Untersuchungen sind wir zu dem Schluss gekommen, dass die beobachtete Abweichung der Codonhäufigkeiten wohl eine Konsequenz der Notwendigkeit ist, RNA Sekundärstruktur in der Nähe des Translationsstarts zu vermeiden und somit eine effiziente Initiation der Translation zu gewährleisten. Im zweiten Teil der Arbeit untersuchen wir den Einfluss der Genreihenfolge innerhalb eines Operons auf die Fitness von E. coli. In bakteriellen Genomen vereint ein Operon funktionell zusammengehörige Gene, die in einer mRNA zusammen transkribiert werden und somit in der Expression stark korreliert sind. Daneben kann die translationale Kopplung, d. h. die Interdependenz der Translationseffizienz zwischen benachbarten Genen innerhalb einer solchen mRNA, eine bestimmte Proteinstöchiometrie weiter stabilisieren. Mithilfe eines Modells für die translationale Kopplung sowie für den Chemotaxis Signalweg konnten wir zeigen, dass die native Genreihenfolge eine der Permutationen ist, die am meisten zur Robustheit der Chemotaxis beitragen. Die translationale Kopplung ist daher ein wichtiger Faktor, der die Anordnung der Gene innerhalb des Chemotaxis Operon bestimmt. Diese Arbeit zeigt, dass die Anforderungen einer effizienten Genexpression sowie die Robustheit wichtiger zellulärer Funktionen einen Einfluss auf die Organisation eines Genoms haben können: einerseits bei der Wahl der Codons am Anfang der Gene, andererseits auf die Ordnung der Gene innerhalb eines Operons. / This work investigates the relationship between mechanisms of translational regulation and genome organization in bacteria. The first part analyzes the connection between translational efficiency and codon usage at the beginning of genes. It is known for some organisms that usage of synonymous codons at the gene start deviates from the codon usage elsewhere in the genome. By analyzing about 400 bacterial genomes, evolutionary simulations and experimental investigations, we conclude that the observed deviation of codon usage at the beginning of genes is most likely a consequence of the need to suppress mRNA structure around the ribosome binding site, thereby allowing efficient initiation of translation. We investigate further driving forces for genome organization by studying the impact of gene order within an operon on the fitness of bacterial cells. Operons group functionally related genes which are transcribed together as single mRNAs in E. coli and other bacteria. Correlation of protein levels is thus to a large extent attributed to this coupling on the transcriptional level. In addition, translational coupling, i.e. the interdependence of translational efficiency between neighboring genes within such a mRNA, can stabilize a desired stoichiometry between proteins. Here, we study the role of translational coupling in robustness of E. coli chemotaxis. By employing a model of translational coupling and simulating the underlying signal transduction network we show that the native gene order ranks among the permutations contributing most to robustness of chemotaxis. We therefore conclude that translational coupling is an important determinant of the gene order within the chemotaxis operon. Both these findings show that requirements for efficient gene expression and robustness of cellular function have a pronounced impact on the genomic organization, influencing the local codon usage at the beginning of genes and the order of genes within operons.

No description available.

BACKGROUND: Bone remodeling relies on the tightly regulated interplay between bone forming osteoblasts and bone digesting osteoclasts. Several studies have now described the molecular mechanisms by which osteoblasts control osteoclastogenesis and bone degradation. It is currently unclear whether osteoclasts can influence bone rebuilding. METHODOLOGY/PRINCIPAL FINDINGS: Using in vitro cell systems, we show here that mature osteoclasts, but not their precursors, secrete chemotactic factors recognized by both mature osteoblasts and their precursors. Several growth factors whose expression is upregulated during osteoclastogenesis were identified by DNA microarrays as candidates mediating osteoblast chemotaxis. Our subsequent functional analyses demonstrate that mature osteoclasts, whose platelet-derived growth factor bb (PDGF-bb) expression is reduced by siRNAs, exhibit a reduced capability of attracting osteoblasts. Conversely, osteoblasts whose platelet-derived growth factor receptor beta (PDGFR-beta) expression is reduced by siRNAs exhibit a lower capability of responding to chemotactic factors secreted by osteoclasts. CONCLUSIONS/SIGNIFICANCE: We conclude that, in vitro mature osteoclasts control osteoblast chemotaxis via PDGF-bb/PDGFR-beta signaling. This may provide one key mechanism by which osteoclasts control bone formation in vivo.

The purpose of this Master thesis is to verify migration of mesenchymal stem cells on the principle known as chemotaxis. First part of this study is focused on cell migration in order to explain the whole migration process. Next part describes various chemotaxis methods and selected studies dealing with clinical applications of mesenchymal stem cells in different medical and biomedical fields. The following step describes confocal microscopy, which is used for acquiring images of the cells. The experimental part is focused on cultivation of mesenchymal stem cells in a laboratory, which is necessary for cell vitality. Furthermore, there are designed two main experiments. Firstly there is a 2D experiment with adherent cells for chemotaxis using -Slide Chemotaxis. Secondly Transwell migration test is designed and executed. Finally, the acquired images from confocal microscope are used for image processing, which was done in Matlab R2020a programming environment. The result of this processing is evaluation of cell confluence and migration. In the end, experimental part of this study was optimized according to recommended studies. The results are summarized in the conclusion with proposal for improvements of those methods.

Die Fähigkeit künstlicher Mikroschwimmer, auf äußere Reize zu reagieren und deren mechanistische Ursprünge, gehören zu den umstrittensten Fragen der interdisziplinären Wissenschaft. Die Erzeugung chemischer Gradienten ist dabei eine technische Herausforderung, da sie aufgrund von Diffusion schnell abflachen. Inspiriert von ‘Stop-flow’ Experimenten aus der chemischen Kinetik zeigen wir, dass die Erzeugung eines mikrofluidischen Gradienten durch Kombination mit einer Druckrückkopplungsschleife zur präzisen Kontrolle des Stoppens erfolgen kann. Das ermöglicht es uns, die mechanistischen Details der Chemotaxis von künstlichen katalytischen Janus-Mikromotoren zu untersuchen. Wir stellen fest, dass diese Kupfer-Janus-Partikel eine chemotaktische Bewegung entlang des Konzentrationsgradienten sowohl in positiver als auch in negativer Richtung zeigen, und wir demonstrieren die mechanische Reaktion der Partikel auf unausgewogene Widerstandskräfte, die dieses Verhalten erklären.

The ability of artificial microswimmers to respond to external stimuli and the mechanistical details of their origins belong to the most disputed challenges in interdisciplinary science. Therein, the creation of chemical gradients is technically challenging, because they quickly level out due to diffusion. Inspired by pivotal stopped flow experiments in chemical kinetics, we show that microfluidics gradient generation combined with a pressure feedback loop for precisely controlling the stop of the flows, can enable us to study mechanistical details of chemotaxis of artificial Janus micromotors, based on a catalytic reaction. We find that these copper Janus particles display a chemotactic motion along the concentration gradient in both, positive and negative direction and we demonstrate the mechanical reaction of the particles to unbalanced drag forces, explaining this behaviour.

Thesis (MSc)--Stellenbosch University, 2011. / ENGLISH ABSTRACT: Biofilms are aggregations of bacteria that can thrive wherever there is a watersurface or water-interface. Sometimes they can be beneficial; for example, biofilms are used in water and waste-water treatment. The filter used to remove contaminants acts as a scaffold for microbial attachment and growth. However, biofilms could have bad effects, especially on a persons health. They can cause chronic diseases and serious infections. The importance of biofilms in industrial and medical settings, is the main reason of the mathematical studies performed up to now, concerning biofilms. Biofilms have been mathematical modelling targets over the last 30 years. The complex structure and growth of biofilms make them difficult to study. Biofilm formation is a multi-stage process and occurs in even the most unlikely of environmental conditions. Models of biofilms vary from the discrete to the continuous; accounting for one-species to multi-species and from one-scale to multi-scale models. A model may even have both discrete and continuous parts. The implication of these differences is that the tools used to model biofilms differ; we present and review some of these models. The aim in this thesis is to model the early initiation of biofilm formation. This stage involves bacterial movement towards a surface and the attachment to the boundary which seeds a biofilm. We use a diffusion equation to describe a bacterial random walk and appropriate boundary conditions to model surface attachment. An analytical solution is obtained which gives the bacterial density as a function of position and time. The model is also analysed for stability. Independent of this model, we also give a reaction diffusion equation for the distribution of sensing molecules, accounting for production by the bacteria and natural degradation. The last model we present is of Keller-Segel type, which couples the dynamics of bacterial movement to that of the sensing molecules. In this case, bacteria perform a biased random walk towards the sensing molecules. The most important part of this chapter is the derivation of the boundary conditions. The adhesion of bacteria to a surface is presented by zero-Dirichlet boundary conditions, while the equation describing sensing molecules at the interface needed particular conditions to be set. Bacteria at the boundary also produce sensing molecules, which may then diffuse and degrade. In order to obtain an equation that includes all these features we assumed that mass is conserved. We conclude with a numerical simulation. / AFRIKAANSE OPSOMMING: Biofilms is die samedromming van bakterieë wat kan floreer waar daar ’n wateroppervlakte of watertussenvlak is. Soms kan hulle voordelig wees, soos byvoorbeeld, biofilms word gebruik in water en afvalwater behandeling. Die filter wat gebruik word om smetstowwe te verwyder, dien as ’n steier vir mikrobiese verbinding en groei. Biofilms kan ook egter slegte gevolge he, veral op ’n persoon se gesondheid. Hulle kan slepende siektes en ernstige infeksies veroorsaak. Die belangrikheid van biofilms in industriële en mediese omgewings, is die hoof rede vir die wiskundige studies wat tot dusver uitgevoer is met betrekking tot biofilms. Biofilms is oor die afgelope 30 jaar al ’n teiken vir wiskundige modellering. Die komplekse struktuur en groei van biofilms maak dit moeilik om hul te bestudeer. Biofilm formasie is ’n multi-fase proses, en gebeur selfs in die mees onwaarskynlikste omgewings. Modelle wat biofilms beskryf wissel van die diskreet tot die kontinu, inkorporeer een of meer spesies, en strek van eentot multi-skaal modelle. ’n Model kan ook oor beide diskreet en kontinue komponente besit. Dit beteken dat die tegnieke wat gebruik word om biofilms te modelleer ook verskil. In hierdie proefskrif verskaf ons ’n oorsig van sommige van hierdie modelle. Die doel in hierdie proefskrif is om die vroeë aanvang van biofilm ontwikkeling te modeleer. Hierdie fase behels ’n bakteriële beweging na ’n oppervlak toe en die aanvanklike aanhegsel wat sal ontkiem in ’n biofilm. Ons gebruik ’n diffusievergelyking om ’n bakteriële kanslopie te beskryf, met geskikte randvoorwaardes. ’n Analities oplossing is verkry wat die bakteriële bevolkingsdigtheid beskryf as ’n funksie van tyd en posisie. Die model is ook onleed om te toets vir stabiliteit. Onafhanklik van die model, gee ons ook ’n reaksiediffusievergelyking vir die beweging van waarnemings-molekules, wat insluit produksie deur die bakterieë en natuurlike afbreking. Die laaste model wat ten toon gestel word is ’n Keller-Segel tipe model, wat die bakteriese en waarnemings-molekule dinamika koppel. In hierdie geval, neem die bakterieë ’n sydige kanslopie agter die waarnemings molekules aan. Die belangrikste deel van hierdie hoofstuk is die afleiding van die randvoorwaardes. Die klewerigheid van die bakterieë tot die oppervlak word vvorgestel deur nul-Dirichlet randvoorwaardes, terwyl die vergelyking wat waarnemingsmolekule gedrag by die koppelvlak beskryf bepaalde voorwaardes nodig het. Bakterieë op die grensvlak produseer ook waarnemings-molekules wat diffundeer en afbreek. Om te verseker dat al hierdie eienskappe omvat is in ’n vergelyking is die aanname gemaak dat massa behoud bly. Ter afsluiting is numeriese simulasie van die model gedoen.