Browsing by Subject "Inhibition"

The growth and proliferation of invasive bacteria in engineered systems is an ongoing problem. While there are a variety of physical and chemical processes to remove and inactivate bacterial pathogens, there are many situations in which these tools are no longer effective or appropriate for the treatment of a microbial target. For example, certain strains of bacteria are becoming resistant to commonly used disinfectants, such as chlorine and UV. Additionally, the overuse of antibiotics has contributed to the spread of antibiotic resistance, and there is concern that wastewater treatment processes are contributing to the spread of antibiotic resistant bacteria.

Due to the continually evolving nature of bacteria, it is difficult to develop methods for universal bacterial control in a wide range of engineered systems, as many of our treatment processes are static in nature. Still, invasive bacteria are present in many natural and engineered systems, where the application of broad acting disinfectants is impractical, because their use may inhibit the original desired bioprocesses. Therefore, to better control the growth of treatment resistant bacteria and to address limitations with the current disinfection processes, novel tools that are both specific and adaptable need to be developed and characterized.

In this dissertation, two possible biological disinfection processes were investigated for use in controlling invasive bacteria in engineered systems. First, antisense gene silencing, which is the specific use of oligonucleotides to silence gene expression, was investigated. This work was followed by the investigation of bacteriophages (phages), which are viruses that are specific to bacteria, in engineered systems.


For the antisense gene silencing work, a computational approach was used to quantify the number of off-targets and to determine the effects of off-targets in prokaryotic organisms. For the organisms of Escherichia coli K-12 MG1655 and Mycobacterium tuberculosis H37Rv the mean number of off-targets was found to be 15.0 + 13.2 and 38.2 + 61.4, respectively, which results in a reduction of greater than 90% of the effective oligonucleotide concentration. It was also demonstrated that there was a high variability in the number of off-targets over the length of a gene, but that on average, there was no general gene location that could be targeted to reduce off-targets. Therefore, this analysis needs to be performed for each gene in question. It was also demonstrated that the thermodynamic binding energy between the oligonucleotide and the mRNA accounted for 83% of the variation in the silencing efficiency, compared to the number of off-targets, which explained 43% of the variance of the silencing efficiency. This suggests that optimizing thermodynamic parameters must be prioritized over minimizing the number of off-targets. In conclusion for the antisense work, these results suggest that off-target hybrids can account for a greater than 90% reduction in the concentration of the silencing oligonucleotides, and that the effective concentration can be increased through the rational design of silencing targets by minimizing off-target hybrids.

Regarding the work with phages, the disinfection rates of bacteria in the presence of phages was determined. The disinfection rates of E. coli K12 MG1655 in the presence of coliphage Ec2 ranged up to 2 h-1, and were dependent on both the initial phage and bacterial concentrations. Increasing initial phage concentrations resulted in increasing disinfection rates, and generally, increasing initial bacterial concentrations resulted in increasing disinfection rates. However, disinfection rates were found to plateau at higher bacterial and phage concentrations. A multiple linear regression model was used to predict the disinfection rates as a function of the initial phage and bacterial concentrations, and this model was able to explain 93% of the variance in the disinfection rates. The disinfection rates were also modeled with a particle aggregation model. The results from these model simulations suggested that at lower phage and bacterial concentrations there are not enough collisions to support active disinfection rates, which therefore, limits the conditions and systems where phage based bacterial disinfection is possible. Additionally, the particle aggregation model over predicted the disinfection rates at higher phage and bacterial concentrations of 108 PFU/mL and 108 CFU/mL, suggesting other interactions were occurring at these higher concentrations. Overall, this work highlights the need for the development of alternative models to more accurately describe the dynamics of this system at a variety of phage and bacterial concentrations. Finally, the minimum required hydraulic residence time was calculated for a continuous stirred-tank reactor and a plug flow reactor (PFR) as a function of both the initial phage and bacterial concentrations, which suggested that phage treatment in a PFR is theoretically possible.

In addition to determining disinfection rates, the long-term bacterial growth inhibition potential was determined for a variety of phages with both Gram-negative and Gram-positive bacteria. It was determined, that on average, phages can be used to inhibit bacterial growth for up to 24 h, and that this effect was concentration dependent for various phages at specific time points. Additionally, it was found that a phage cocktail was no more effective at inhibiting bacterial growth over the long-term than the best performing phage in isolation.

Finally, for an industrial application, the use of phages to inhibit invasive Lactobacilli in ethanol fermentations was investigated. It was demonstrated that phage 8014-B2 can achieve a greater than 3-log inactivation of Lactobacillus plantarum during a 48 h fermentation. Additionally, it was shown that phages can be used to protect final product yields and maintain yeast viability. Through modeling the fermentation system with differential equations it was determined that there was a 10 h window in the beginning of the fermentation run, where the addition of phages can be used to protect final product yields, and after 20 h no additional benefit of the phage addition was observed.

In conclusion, this dissertation improved the current methods for designing antisense gene silencing targets for prokaryotic organisms, and characterized phages from an engineering perspective. First, the current design strategy for antisense targets in prokaryotic organisms was improved through the development of an algorithm that minimized the number of off-targets. For the phage work, a framework was developed to predict the disinfection rates in terms of the initial phage and bacterial concentrations. In addition, the long-term bacterial growth inhibition potential of multiple phages was determined for several bacteria. In regard to the phage application, phages were shown to protect both final product yields and yeast concentrations during fermentation. Taken together, this work suggests that the rational design of phage treatment is possible and further work is needed to expand on this foundation.

Lysine specific demethylase 1 (LSD1) is a FAD-dependent amine oxidase enzyme responsible for removing methyl groups from the side chain nitrogen of lysine within histones in order to regulate gene transcription. By its interaction with various transcriptional complexes, including those containing estrogen receptor α (ERα), LSD1 mediates expression of many genes important in cancer proliferation and progression. Herein, we report our efforts towards understanding the function of LSD1 in breast cancer. We have developed a straightforward method for the syntheses of 2-arylcyclopropylamines as irreversible mechanism-based inactivators of LSD1. We employed these small molecules as probes of LSD1 activity, and together with experiments involving the knockout of LSD1 by small interfering RNA (siRNA), we have shown that LSD1 activity is essential for both ERα-postive and ERα-negative breast cancer proliferation. LSD1 inhibitors induce a dramatic cell cycle arrest without causing apoptosis.

Furthermore, we observe that LSD1 and ERα work cooperatively to express certain estrogen-target genes through simultaneous recruitment to promoters; LSD1 inhibition diminishes ERα recruitment. Similarly, knockdown of CoREST, a binding partner of LSD1, results in comparable changes in gene expression. Although, we have not observed a direct interaction between LSD1 and ERα, we believe that CoREST may be facilitating this interaction. We have made efforts to inhibit the interaction between LSD1 and CoREST in vitro in hopes of targeting this interface in breast cancer cells in order to disrupt the necessary functional complex and prevent LSD1 activity.

Large amounts of human pharmaceutical products are consumed worldwide. Many drugs and their metabolites, referred to as pharmaceutically active compounds (PhACs), are not fully metabolized prior to household discharge resulting in their common occurrence in wastewater treatment plants (WWTPs). In most instances, WWTPs present the first treatment opportunity for removing PhACs and preventing significant environmental exposure. Because most municipal WWTPs rely on the microbial component of the activated sludge process, there is a need to estimate the influence of PhACs in wastewater influent on the activated sludge microbial communities and the treatment performance of WWTPs. The objective of this dissertation was to determine the impact of selected PhACs (i.e., ketoprofen, naproxen, clofibric acid, carbamazepine and gemfibrozil) on activated sludge microorganisms and key individual microbial species in domestic wastewater treatment. Analyses were performed in batch reactors initially and then in laboratory-scale sequencing batch reactors (SBR) which mimic WWTP operations. Ammonia oxidizing bacteria (AOB) were selected as indicator organisms because of their importance in wastewater treatment and demonstrated sensitiveness to toxic compounds.

The batch experiments results suggested that microbial growth inhibition was correlated to organic loadings. In the presence of 0.2% (v/v) ethanol, significant inhibition, ranging from 34 to 43%, was observed for all PhACs other than clofibric acid.

Nitrification inhibition studies using Nitrosomonas europaea, a model AOB strain showed that ketoprofen, naproxen, carbamazepine and gemfibrozil inhibited nitrite production. The corresponding maximum nitrification inhibition rates were 25, 29, 22 and 26%, respectively. Inhibition was shown to increase with PhAC concentration for concentrations greater than 0.1 µM. Results from membrane integrity tests suggest that the inhibition may be due to the disturbance of the cell membrane by PhACs and such inhibition was shown to be irreversible.

Even though PhACs were shown to inhibit the nitrification rate in pure culture studies, the performance of SBRs exposed to individual PhACs was not adversely affected neither in terms of COD nor ammonia removal. Microbial fingerprinting for both total bacteria and AOB confirmed that no significant shifts occurred when microbial communities were exposed to PhACs. However, some PhACs introduced in binary mixture were found to both inhibit the nitrification of N. europaea as well as the performance of SBRs. The mixture composed of 0.5 μM ketoprofen and 0.5 μM naproxen showed significant inhibition (25%) on the nitrite production of N. europaea although neither 0.5 μM ketoprofen nor 0.5 μM naproxen had significant effect when presented alone. Similarly, both COD and ammonia removal were significantly impacted by binary mixtures of PhACs. These results suggest that mixture effects can play an important role in an overall treatment's nitrification potential and this phenomenon should be further investigated.