2 resultados para Extrusion Instabilities


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Chlamydia trachomatis has a unique obligate intracellular developmental cycle that ends by the lysis of the cell and/or the extrusion of the bacteria in order to allow for re-infections. While Chlamydia trachomatis infections are often asymptomatic the diagnosis of Chlamydia trachomatis is usually late, occurring after manifestation of persistency. Investigations on the consequences of long-term infections and the molecular mechanisms behind it will reveal light to what extent bacteria can modulate host cell function and what the ultimate fate of host cells after clearance of an infection is. Such studies on the host cell fate could be greatly facilitated if the infected cells become permanently marked during and after the infection. Therefore, this project intends to develop a new genetic tool that would allow permanently labeling of Chlamydia trachomatis host cells. The plan was to generate a Chlamydia trachomatis strain that encodes a recombinant CRE recombinase, fused to a secretory effector function of the Chlamydia type 3 secretion system (T3SS). Upon translocation into the host cell, this recombinant CRE enzyme could then, owing to its site-specific recombination function, switch a reporter gene contained in the host cell genome. To this end, the reporter line carried a membrane-tagged tdTomato (mT) gene flanked by two LoxP sequences followed by a GFP gene. The translocation of the recombinant CRE recombinase into this cell line was designed to trigger the recombination of the LoxP sites whereby the cells would turn from red fluorescence to green as an irreversible label of the infected cells. Successful execution of this mechanism would allow to draw a direct link between Chlamydia trachomatis infection and the subsequent fate of the infected cell.

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Water is a limited resource for which demand is growing. Contaminated water from inadequate wastewater treatment provides one of the greatest health challenges as it restricts development and increases poverty in emerging and developing countries. Therefore, the connection between wastewater and human health is linked to access to sanitation and to human waste disposal. Adequate sanitation is expected to create a barrier between disposed human excreta and sources of drinking water. Different approaches to wastewater management are required for different geographical regions and different stages of economic governance depending on the capacity to manage wastewater. Effective wastewater management can contribute to overcome the challenges of water scarcity. Separate collection of human urine at its source is one promising approach that strongly reduces the economic and load demands on wastewater treatment plants (WWTP). Treatment of source-separated urine appears as a sanitation system that is affordable, produces a valuable fertiliser, reduces pollution of water resources and promotes health. However, the technical realisation of urine separation still faces challenges. Biological hydrolysis of urea causes a strong increase of ammonia and pH. Under these conditions ammonia volatilises which can cause odour problems and significant nitrogen losses. The above problems can be avoided by urine stabilisation. Biological nitrification is a suitable process for stabilisation of urine. Urine is a highly concentrated nutrient solution which can lead to strong inhibition effects during bacterial nitrification. This can further lead to process instabilities. The major cause of instability is accumulation of the inhibitory intermediate compound nitrite, which could lead to process breakdown. Enhanced on-line nitrite monitoring can be applied in biological source-separated urine nitrification reactors as a sustainable and efficient way to improve the reactor performance, avoiding reactor failures and eventual loss of biological activity. Spectrophotometry appears as a promising candidate for the development and application of on-line nitrite monitoring. Spectroscopic methods together with chemometrics are presented in this work as a powerful tool for estimation of nitrite concentrations. Principal component regression (PCR) is applied for the estimation of nitrite concentrations using an immersible UV sensor and off-line spectra acquisition. The effect of particles and the effect of saturation, respectively, on the UV absorbance spectra are investigated. The analysis allows to conclude that (i) saturation has a substantial effect on nitrite estimation; (ii) particles appear to have less impact on nitrite estimation. In addition, improper mixing together with instabilities in the urine nitrification process appears to significantly reduce the performance of the estimation model.