Neuropeptide-inducible upregulation of proteasome activity precedes nuclear factor kappa B activation in androgen-independent prostate cancer cells.

ABSTRACT: BACKGROUND: Upregulation of nuclear factor kappa B (NFκB) activity and neuroendocrine differentiation are two mechanisms known to be involved in prostate cancer (PC) progression to castration resistance. We have observed that major components of these pathways, including NFκB, proteasome, neutral endopeptidase (NEP) and endothelin 1 (ET-1), exhibit an inverse and mirror image pattern in androgen-dependent (AD) and -independent (AI) states in vitro. METHODS: We have now investigated for evidence of a direct mechanistic connection between these pathways with the use of immunocytochemistry (ICC), western blot analysis, electrophoretic mobility shift assay (EMSA) and proteasome activity assessment. RESULTS: Neuropeptide (NP) stimulation induced nuclear translocation of NFκB in a dose-dependent manner in AI cells, also evident as reduced total inhibitor κB (IκB) levels and increased DNA binding in EMSA. These effects were preceded by increased 20 S proteasome activity at lower doses and at earlier times and were at least partially reversed under conditions of NP deprivation induced by specific NP receptor inhibitors, as well as NFκB, IκB kinase (IKK) and proteasome inhibitors. AD cells showed no appreciable nuclear translocation upon NP stimulation, with less intense DNA binding signal on EMSA. CONCLUSIONS: Our results support evidence for a direct mechanistic connection between the NPs and NFκB/proteasome signaling pathways, with a distinct NP-induced profile in the more aggressive AI cancer state.

Source wavelet estimation for waveform inversion of crosshole georadar data

AbstractFor a wide range of environmental, hydrological, and engineering applications there is a fast growing need for high-resolution imaging. In this context, waveform tomographic imaging of crosshole georadar data is a powerful method able to provide images of pertinent electrical properties in near-surface environments with unprecedented spatial resolution. In contrast, conventional ray-based tomographic methods, which consider only a very limited part of the recorded signal (first-arrival traveltimes and maximum first-cycle amplitudes), suffer from inherent limitations in resolution and may prove to be inadequate in complex environments. For a typical crosshole georadar survey the potential improvement in resolution when using waveform-based approaches instead of ray-based approaches is in the range of one order-of- magnitude. Moreover, the spatial resolution of waveform-based inversions is comparable to that of common logging methods. While in exploration seismology waveform tomographic imaging has become well established over the past two decades, it is comparably still underdeveloped in the georadar domain despite corresponding needs. Recently, different groups have presented finite-difference time-domain waveform inversion schemes for crosshole georadar data, which are adaptations and extensions of Tarantola's seminal nonlinear generalized least-squares approach developed for the seismic case. First applications of these new crosshole georadar waveform inversion schemes on synthetic and field data have shown promising results. However, there is little known about the limits and performance of such schemes in complex environments. To this end, the general motivation of my thesis is the evaluation of the robustness and limitations of waveform inversion algorithms for crosshole georadar data in order to apply such schemes to a wide range of real world problems.One crucial issue to making applicable and effective any waveform scheme to real-world crosshole georadar problems is the accurate estimation of the source wavelet, which is unknown in reality. Waveform inversion schemes for crosshole georadar data require forward simulations of the wavefield in order to iteratively solve the inverse problem. Therefore, accurate knowledge of the source wavelet is critically important for successful application of such schemes. Relatively small differences in the estimated source wavelet shape can lead to large differences in the resulting tomograms. In the first part of my thesis, I explore the viability and robustness of a relatively simple iterative deconvolution technique that incorporates the estimation of the source wavelet into the waveform inversion procedure rather than adding additional model parameters into the inversion problem. Extensive tests indicate that this source wavelet estimation technique is simple yet effective, and is able to provide remarkably accurate and robust estimates of the source wavelet in the presence of strong heterogeneity in both the dielectric permittivity and electrical conductivity as well as significant ambient noise in the recorded data. Furthermore, our tests also indicate that the approach is insensitive to the phase characteristics of the starting wavelet, which is not the case when directly incorporating the wavelet estimation into the inverse problem.Another critical issue with crosshole georadar waveform inversion schemes which clearly needs to be investigated is the consequence of the common assumption of frequency- independent electromagnetic constitutive parameters. This is crucial since in reality, these parameters are known to be frequency-dependent and complex and thus recorded georadar data may show significant dispersive behaviour. In particular, in the presence of water, there is a wide body of evidence showing that the dielectric permittivity can be significantly frequency dependent over the GPR frequency range, due to a variety of relaxation processes. The second part of my thesis is therefore dedicated to the evaluation of the reconstruction limits of a non-dispersive crosshole georadar waveform inversion scheme in the presence of varying degrees of dielectric dispersion. I show that the inversion algorithm, combined with the iterative deconvolution-based source wavelet estimation procedure that is partially able to account for the frequency-dependent effects through an "effective" wavelet, performs remarkably well in weakly to moderately dispersive environments and has the ability to provide adequate tomographic reconstructions.

Expression of neutral endopeptidase, endothelin-1, and nuclear factor kappa B in prostate cancer: interrelations and associations with prostate-specific antigen recurrence after radical prostatectomy.

Objective. To study the impact of the neutral endopeptidase (NEP)/neuropeptides (NPs) axis and nuclear factor kappa B (NFκB) as predictors of prostate-specific antigen (PSA) recurrence after radical prostatectomy (RP). Patients and Methods. 70 patients with early-stage PC were treated with RP and their tumor samples were evaluated for expression of NEP, endothelin-1 (ET-1) and NFκB (p65). Time to PSA recurrence was correlated with the examined parameters and combined with preoperative PSA level, Gleason score, pathological TNM (pT) stage, and surgical margin (SM) assessment. Results and Limitations. Membranous expression of NEP (P < 0.001), cytoplasmic ET-1 (P = 0.002), and cytoplasmic NFκB (P < 0.001) were correlated with time to PSA relapse. NEP was associated with ET-1 (P < 0.001) and NFκB (P < 0.001). ET-1 was also correlated with NFκB (P < 0.001). NEP expression (P = 0.017), pT stage (P = 0.013), and SMs (P = 0.036) were independent predictors of time to PSA recurrence. Conclusions. There seems to be a clinical model of NEP/NPs and NFκB pathways interconnection, with their constituents following inverse patterns of expression in accordance with their biological roles and molecular interrelations.

The biogeography of mitochondrial and nuclear discordance in animals.

Combining nuclear (nuDNA) and mitochondrial DNA (mtDNA) markers has improved the power of molecular data to test phylogenetic and phylogeographic hypotheses and has highlighted the limitations of studies using only mtDNA markers. In fact, in the past decade, many conflicting geographic patterns between mitochondrial and nuclear genetic markers have been identified (i.e. mito-nuclear discordance). Our goals in this synthesis are to: (i) review known cases of mito-nuclear discordance in animal systems, (ii) to summarize the biogeographic patterns in each instance and (iii) to identify common drivers of discordance in various groups. In total, we identified 126 cases in animal systems with strong evidence of discordance between the biogeographic patterns obtained from mitochondrial DNA and those observed in the nuclear genome. In most cases, these patterns are attributed to adaptive introgression of mtDNA, demographic disparities and sex-biased asymmetries, with some studies also implicating hybrid zone movement, human introductions and Wolbachia infection in insects. We also discuss situations where divergent mtDNA clades seem to have arisen in the absence of geographic isolation. For those cases where foreign mtDNA haplotypes are found deep within the range of a second taxon, data suggest that those mtDNA haplotypes are more likely to be at a high frequency and are commonly driven by sex-biased asymmetries and/or adaptive introgression. In addition, we discuss the problems with inferring the processes causing discordance from biogeographic patterns that are common in many studies. In many cases, authors presented more than one explanation for discordant patterns in a given system, which indicates that likely more data are required. Ideally, to resolve this issue, we see important future work shifting focus from documenting the prevalence of mito-nuclear discordance towards testing hypotheses regarding the drivers of discordance. Indeed, there is great potential for certain cases of mitochondrial introgression to become important natural systems within which to test the effect of different mitochondrial genotypes on whole-animal phenotypes.

Nuclear well logging in soils. Calibration of slim hole nuclear tools gamma-gamma and neutron-thermal neutron.

The calculation of elasticity parameters by sonic and ultra sonic wave propagation in saturated soils using Biot's theory needs the following variables : forpiation density and porosity (p, ø), compressional and shear wave velocities (Vp, Vs), fluid density, viscosity and compressibility (Pfi Ilfi Ki), matrix density and compressibility (p" K), The first four parameters can be determined in situ using logging probes. Because fluid and matrix characteristics are not modified during core extraction, they can be obtained through laboratory measurements. All parameters necessitate precise calibrations in various environments and for specific range of values encountered in soils. The slim diameter of boreholes in shallow geophysics and the high cost of petroleum equipment demand the use of specific probes, which usually only give qualitative results. The measurement 'of density is done with a gamma-gamma probe and the measurement of hydrogen index, in relation to porosity, by a neutron probe. The first step of this work has been carried out in synthetic formations in the laboratory using homogeneous media of known density and porosity. To establish borehole corrections different casings have been used. Finally a comparison between laboratory and in situ data in cored holes of known geometry and casing has been performed.

Nonlinear inverse dynamic models of gas sensing systems based on chemical sensor arrays for quantitative measurements

Gas sensing systems based on low-cost chemical sensor arrays are gaining interest for the analysis of multicomponent gas mixtures. These sensors show different problems, e.g., nonlinearities and slow time-response, which can be partially solved by digital signal processing. Our approach is based on building a nonlinear inverse dynamic system. Results for different identification techniques, including artificial neural networks and Wiener series, are compared in terms of measurement accuracy.

Nuclear incompressibility in the quasilocal density functional theory

We explore the ability of the recently established quasilocal density functional theory for describing the isoscalar giant monopole resonance. Within this theory we use the scaling approach and perform constrained calculations for obtaining the cubic and inverse energy weighted moments (sum rules) of the RPA strength. The meaning of the sum rule approach in this case is discussed. Numerical calculations are carried out using Gogny forces and an excellent agreement is found with HF+RPA results previously reported in literature. The nuclear matter compression modulus predicted in our model lies in the range 210230 MeV which agrees with earlier findings. The information provided by the sum rule approach in the case of nuclei near the neutron drip line is also discussed.

An Engineering Study to Update the Iowa Transportation Laws Annotated: HR 324a January 1995

Research project HR-234A was sponsored by the Iowa Highway Research Board and the Iowa Department of Transportation. In the preparation of this compilation of highway and street laws of Iowa, an attempt has been made to include those sections of the Iowa Code Annotated and Iowa Digest to which reference is frequently required by the Department of Transportation, counties, cities and towns in their conduct of highway and street administration, construction and maintenance. This publication is offered with the hope and belief that it will prove to be of value and assistance to those concerned with the problems of establishing, maintaining and administering a highway and street program. Because of the broad scope of highway and street work and the many interrelated provisions of Iowa law, and usable size, some Code provision which are insignificant to the principal subject were omitted out of necessity; others were omitted to avoid repetition. A general index is provided at the end of the text of this volume. Each major topic is divided into subtopics and is accompanied by appropriate Code sections. Specific section numbers as they appear in the Code are in.

The biology of cancer stem cells : part 1: nuclear translocation of CD44 : part 2: IMP2 in glioblastoma cancer stem cells

SummaryCancer stem cells (CSC) are poorly differentiated, slowly proliferating cells, with high tumorigenic potential. Some of these cells, as it has been shown in leukemia, evade chemo- and radiotherapy and recapitulate the tumor composed of CSC and their highly proliferative progeny. Therefore, understanding the molecular biology of those cells is crucial for improvement of currently used anti-cancer therapies.This work is composed of two CSC-related projects. The first deals with CD44, a frequently used marker of CSC; the second involves Imp2 and its role in CSC bioenergetics. PART 1. CD44 is a multifunctional transmembrane protein involved in migration, homing, adhesion, proliferation and survival. It is overexpressed in many cancers and its levels are correlated with poor prognosis. CD44 is also highly expressed by CSC and in many malignancies it is used for CSC isolation.In the present work full-lenght CD44 nuclear localization was studied, including the mechanism of nuclear translocation and its functional role in the nucleus. Full-length CD44 can be found in nuclei of various cell types, regardless of their tumorigenic potential. For nuclear localization, CD44 needs to be first inserted into the cell membrane, from which it is transported via the endocytic pathway. Upon binding to transportinl it is translocated to the nucleus. The nuclear localization signal recognized by transportinl has been determined as the first 20 amino acids of the membrane proximal intracellular domain. Nuclear export of CD44 is facilitated by exportin Crml. Investigation of the function of nuclear CD44 revealed its implication in de novo RNA synthesis.PART 2. Glioblastoma multiforme is the most aggressive and most frequent brain malignancy. It was one of the first solid tumors from which CSC have been isolated. Based on the similarity between GBM CSC and normal stem cells expression of an oncofetal mRNA binding protein Imp2 has been investigated.Imp2 is absent in normal brain as well as in low grade gliomas, but is expressed in over 75% GBM cases and its expression is higher in CSC compared to their more differentiated counterparts. Analysis of mRNA transcripts bound by Imp2 and its protein interactors revealed that in GBM CSC Imp2 may be implicated in mitochondrial metabolism. Indeed, shRNA mediated silencing of protein expression led to decreased mitochondrial activity, decreased oxygen consumption and decreased activity of respiratory chain protein complex I. Moreover, lack of Imp2 severely affected self-renewal and tumorigenicity of GBM CSC. Experimental evidence suggest that GBM CSC depend on mitochondrial oxidative phosphorylation as an energy producing pathway and that Imp2 is a novel regulator of this pathway.RésuméLes cellules cancéreuses souches sont des cellules peu différentiées, à proliferation lente et hautement tumorigénique. Ces cellules sont radio-chimio résistantes et sont capable reformer la tumeur dans sont intégralité, reproduisant l'hétérogénéité cellulaire présent dans la tumeur d'origine. Pour améliorer les therapies antitumorales actuelles il est crucial de comprendre les mécanismes moléculaires qui caractérisent cette sous-population de cellules hautement malignes.Ce travail de thèse se compose de deux projets s'articulant autour du même axe :Le CD44 est une protéine multifonctionnelle et transmembranaire très souvent utilisée comme marqueur de cellules souches tumorales dans différents cancers. Elle est impliquée dans la migration, l'adhésion, la prolifération et la survie des cellules. Lors de ce travail de recherche, nous nous sommes intéressés à la localisation cellulaire du CD44, ainsi qu'aux mécanismes permettant sa translocation nucléaire. En effet, bien que principalement décrit comme un récepteur de surface transmembranaire, le CD44 sous sa forme entière, non clivée en peptides, peut également être observé à l'intérieur du noyau de diverses cellules, quel que soit leur potentiel tumorigénique. Pour passer ainsi d'un compartiment cellulaire à un autre, le CD44 doit d'abord être inséré dans la membrane plasmique, d'où il est transporté par endocytose jusqu'à l'intérieur du cytoplasme. La transportai permet ensuite la translocation nucléaire du CD44 via une « séquence signal » contenue dans les 20 acides aminés du domaine cytoplasmique qui bordent la membrane. A l'inverse, le CD44 est exporté du noyau grâce à l'exportin Crml. En plus des mécanismes décrits ci-dessus, cette étude a également mis en évidence l'implication du CD44 dans la synthèse des ARN, d'où sa présence dans le noyau.Le glioblastome est la plus maligne et la plus fréquente des tumeurs cérébrales. Dans ce second projet de recherche, le rôle de IMP2 dans les cellules souches tumorales de glioblastomes a été étudié. La présence de cette protéine oncofoetale a d'abord été mise en évidence dans 75% des cas les plus agressifs des gliomes (grade IV, appelés glioblastomes), tandis qu'elle n'est pas exprimée dans les grades I à III de ces tumeurs, ni dans le cerveau sain. De plus, IMP2 est apparue comme étant davantage exprimée dans les cellules souches tumorales que dans les cellules déjà différenciées. La baisse de l'expression de IMP2 au moyen de shRNA a résulté en une diminution de l'activité mitochondriale, en une réduction de la consommation d'oxygène ainsi qu'en une baisse de l'activité du complexe respiratoire I.L'inhibition de IMP2 a également affecté la capacité de renouvellement de la population des cellules souches tumorales ainsi que leur aptitude à former des tumeurs.Lors de ce travail de thèse, une nouvelle fonction d'un marqueur de cellules souches tumorales a été mise en évidence, ainsi qu'un lien important entre la bioénergétique de ces cellules et l'expression d'une protéine oncofoetale.

Engineering Study Automating Iowa's Speed Monitoring Program, HR-228, 1983

Excessive speed on State and County highways is recognized as a serious problem by many Iowans. Speed increases both the risk and severity of accidents. Studies conducted by the FHWA and NHTSA have concluded that if average speeds were increased by five MPH, fatalities would increase by at least 2,200 annually. Along with the safety problems associated with excessive speed are important energy considerations. When the national speed limit was lowered to 55 MPH in 1974, a tremendous savings in fuel was realized. The estimated actual savings for automobiles amounted to 2.2 billion gallons, an average of 20.75 gallons for each of the 106 million automobiles registered in 1975. These benefits prompted the Federal-Aid Amendment of 1974 requiring annual State enforcement certification as a prerequisite for approval of Federal-aid highway projects. In 1978, the United States D.O.T. recommended to Congress significant changes in speed limit legislation designed to increase compliance with the national speed limit. The Highway Safety Act of 1978 provides for both withholding Federal-aid highway funds and awarding incentive grants based on speed compliance data submitted annually. The objective of this study was to develop and make operational, an automatic speed monitoring system which would have flexible capabilities of collecting accurate speed data on all road systems in Iowa. It was concluded that the Automatic Speed Monitoring Program in Iowa has been successful and needed data is being collected in the most economical manner possible.

Engineering Fabric Repair Prior to Resurfacing - Roadglas - US 30, HR-525, 1992

In Iowa it is normal procedure to either use partial or full-depth patching to repair deteriorated areas of pavement prior to resurfacing. The Owens/Corning Corporation introduced a repair system to replace the patching process. Their Roadglas repair system was used in this research project on US 30 in Story County. It was installed in 1985 and has been observed annually since that time. There were some construction problems with slippage as the roller crossed the abundant Roadglas binder. It appears the Roadglas system has helped to control reflective cracking in the research areas. Since the time when this project was completed it has been reported that Owens/Corning has discontinued production of the Roadglas system.

Particle transport method for convection-diffusion-reaction problems

Convective transport, both pure and combined with diffusion and reaction, can be observed in a wide range of physical and industrial applications, such as heat and mass transfer, crystal growth or biomechanics. The numerical approximation of this class of problemscan present substantial difficulties clue to regions of high gradients (steep fronts) of the solution, where generation of spurious oscillations or smearing should be precluded. This work is devoted to the development of an efficient numerical technique to deal with pure linear convection and convection-dominated problems in the frame-work of convection-diffusion-reaction systems. The particle transport method, developed in this study, is based on using rneshless numerical particles which carry out the solution along the characteristics defining the convective transport. The resolution of steep fronts of the solution is controlled by a special spacial adaptivity procedure. The serni-Lagrangian particle transport method uses an Eulerian fixed grid to represent the solution. In the case of convection-diffusion-reaction problems, the method is combined with diffusion and reaction solvers within an operator splitting approach. To transfer the solution from the particle set onto the grid, a fast monotone projection technique is designed. Our numerical results confirm that the method has a spacial accuracy of the second order and can be faster than typical grid-based methods of the same order; for pure linear convection problems the method demonstrates optimal linear complexity. The method works on structured and unstructured meshes, demonstrating a high-resolution property in the regions of steep fronts of the solution. Moreover, the particle transport method can be successfully used for the numerical simulation of the real-life problems in, for example, chemical engineering.

Evolutionary computing in search-based software engineering

This master’s thesis aims to study and represent from literature how evolutionary algorithms are used to solve different search and optimisation problems in the area of software engineering. Evolutionary algorithms are methods, which imitate the natural evolution process. An artificial evolution process evaluates fitness of each individual, which are solution candidates. The next population of candidate solutions is formed by using the good properties of the current population by applying different mutation and crossover operations. Different kinds of evolutionary algorithm applications related to software engineering were searched in the literature. Applications were classified and represented. Also the necessary basics about evolutionary algorithms were presented. It was concluded, that majority of evolutionary algorithm applications related to software engineering were about software design or testing. For example, there were applications about classifying software production data, project scheduling, static task scheduling related to parallel computing, allocating modules to subsystems, N-version programming, test data generation and generating an integration test order. Many applications were experimental testing rather than ready for real production use. There were also some Computer Aided Software Engineering tools based on evolutionary algorithms.