Optimization of the piggyBac Transposon Using mRNA and Insulators: Toward a More Reliable Gene Delivery System.

Integrating and expressing stably a transgene into the cellular genome remain major challenges for gene-based therapies and for bioproduction purposes. While transposon vectors mediate efficient transgene integration, expression may be limited by epigenetic silencing, and persistent transposase expression may mediate multiple transposition cycles. Here, we evaluated the delivery of the piggyBac transposase messenger RNA combined with genetically insulated transposons to isolate the transgene from neighboring regulatory elements and stabilize expression. A comparison of piggyBac transposase expression from messenger RNA and DNA vectors was carried out in terms of expression levels, transposition efficiency, transgene expression and genotoxic effects, in order to calibrate and secure the transposition-based delivery system. Messenger RNA reduced the persistence of the transposase to a narrow window, thus decreasing side effects such as superfluous genomic DNA cleavage. Both the CTF/NF1 and the D4Z4 insulators were found to mediate more efficient expression from a few transposition events. We conclude that the use of engineered piggyBac transposase mRNA and insulated transposons offer promising ways of improving the quality of the integration process and sustaining the expression of transposon vectors.

Parallel scheduling of multiclass M/M/m queues: Approximate and heavy-traffic optimization of achievable performance

We address the problem of scheduling a multiclass $M/M/m$ queue with Bernoulli feedback on $m$ parallel servers to minimize time-average linear holding costs. We analyze the performance of a heuristic priority-index rule, which extends Klimov's optimal solution to the single-server case: servers select preemptively customers with larger Klimov indices. We present closed-form suboptimality bounds (approximate optimality) for Klimov's rule, which imply that its suboptimality gap is uniformly bounded above with respect to (i) external arrival rates, as long as they stay within system capacity;and (ii) the number of servers. It follows that its relativesuboptimality gap vanishes in a heavy-traffic limit, as external arrival rates approach system capacity (heavy-traffic optimality). We obtain simpler expressions for the special no-feedback case, where the heuristic reduces to the classical $c \mu$ rule. Our analysis is based on comparing the expected cost of Klimov's ruleto the value of a strong linear programming (LP) relaxation of the system's region of achievable performance of mean queue lengths. In order to obtain this relaxation, we derive and exploit a new set ofwork decomposition laws for the parallel-server system. We further report on the results of a computational study on the quality of the $c \mu$ rule for parallel scheduling.

Beyond intracranial pressure: optimization of cerebral blood flow, oxygen, and substrate delivery after traumatic brain injury.

Monitoring and management of intracranial pressure (ICP) and cerebral perfusion pressure (CPP) is a standard of care after traumatic brain injury (TBI). However, the pathophysiology of so-called secondary brain injury, i.e., the cascade of potentially deleterious events that occur in the early phase following initial cerebral insult-after TBI, is complex, involving a subtle interplay between cerebral blood flow (CBF), oxygen delivery and utilization, and supply of main cerebral energy substrates (glucose) to the injured brain. Regulation of this interplay depends on the type of injury and may vary individually and over time. In this setting, patient management can be a challenging task, where standard ICP/CPP monitoring may become insufficient to prevent secondary brain injury. Growing clinical evidence demonstrates that so-called multimodal brain monitoring, including brain tissue oxygen (PbtO2), cerebral microdialysis and transcranial Doppler among others, might help to optimize CBF and the delivery of oxygen/energy substrate at the bedside, thereby improving the management of secondary brain injury. Looking beyond ICP and CPP, and applying a multimodal therapeutic approach for the optimization of CBF, oxygen delivery, and brain energy supply may eventually improve overall care of patients with head injury. This review summarizes some of the important pathophysiological determinants of secondary cerebral damage after TBI and discusses novel approaches to optimize CBF and provide adequate oxygen and energy supply to the injured brain using multimodal brain monitoring.

Activation mechanisms of the protease MALT1 and cleavage of one of its targets - the ribonuclease Regnase-1- in lymphocytes and lymphoma cell lines

Persistent infection induces an adaptive immune response that is mediated by T and B lymphocytes. Upon triggering with an antigen, these cells become activated and turn into fast expanding cells able to efficiently defend the host. Lymphocyte activation is controlled by a complex composed of CARMA1, BCL10 and MALT1 which regulates the NF-KB signaling pathway upon antigen triggering. Abnormally high expression or activity of either one of these three proteins can favor the development of lymphomas, while genetic defects in the pathway are associated with immunodeficiency. MALT1 was identified as a paracaspase sharing homology with other cysteine proteases, namely caspases and metacaspases. In order to be active, caspases need to dimerize. Based on their sequence similarity with MALT1, we hypothesized that dimerization might also be a mechanism of activation employed by MALT1. To address this assumption, we performed a bioinformatics modelling based on the crystal structures of several caspases. Our model suggested that the MALT1 caspase-like domain can indeed form dimers. This finding was later confirmed by several published crystal structures of MALT1. In the dimer interface of our model, we noticed the presence of charged amino acids that could potentially form salt bridges and thereby hold both monomers together. Mutation of one of these residues, E549, into alanine completely blocked the catalytic activity of MALT1. Additionally, we provided evidence for a role of E549 in promoting the MALTl-dependent growth of cells derived from diffuse large B cell lymphoma (DLBCL) of the aggressive B cell-like type (ABC). To our initial surprise, the E549A mutation showed only a partial defect in dimerization, indicating that additional residues are essential to form a stable dimer. The MALT1 crystal structures revealed a key function for E549 in stabilizing the catalytic site of the protease via its interaction with an arginine which is located next to the catalytic active cysteine. In an additional study, we discovered that MALT1 monoubiquitination is required for the catalytic activity of the protease. Interestingly, we found that the MALT1 dimer interface mutant E549A could not be monoubiquitinated. Based on these findings, we suggest that correct formation of the dimer interface is a prerequisite for monoubiquitination. In a second project, we discovered a novel target of the protease MALT1, the ribonuclease Regnase¬la It was described that the RNase activity of Regnase-1 negatively regulates immune responses. We could show that in ABC DLBCL cell lines, Regnase-1 is not only cleaved by MALT1 but also phosphorylated, at least in part, by the inhibitor of KB kinase (IKK). Both regulations appear to restrain the RNase function of Regnase-1 and thereby allow the production of pro-survival proteins. In conclusion, our studies further highlight and explain the importance of the catalytic activity of MALT1 for the activation of lymphocytes and provide additional knowledge for the development of specific drugs targeting the catalytic activity of MALT1 for immunomodulation and treatment of lymphomas.  SUMMARY IN FRENCH PhD Thesis Katrin Cabalzar 2 SUMMARY IN FRENCH Une infection persistante induit une réponse immunitaire adaptative par l'intermédiaire des lymphocytes T et B. Quand elles reconnaissent l'antigène, ces cellules sont activées et se multiplient très rapidement pour défendre efficacement l'hôte. L'activation des lymphocytes est transmise par un complexe composé de trois protéines, CARMA1, BCL10 et MALT1, qui régule la voie de signalisation NF-KB lorsque l'antigène est reconnu. L'expression ou l'activité anormalement élevée de l'une de ces trois protéines peut favoriser le développement de lymphomes, tandis que des défauts génétiques de cette voie de signalisation sont associés à l'immunodéficience. MALT1 a été identifiée comme étant une paracaspase qui partage des séquences homologues avec d'autres protéases à cystéine, comme les caspases et les métacaspases. Pour être actives, les caspases ont besoin de dimériser. Etant donné leur similarité de séquence avec MALT1, nous avons supposé que la dimérisation pouvait aussi être un mécanisme d'activation utilisé par MALT1. Pour vérifier cette hypothèse, nous avons conçu un modèle bioinformatique à partir des structures cristallographiques de plusieurs caspases. Et notre modèle a suggéré que le domaine catalytique de MALT1 était effectivement capable de former des dimères. Cette découverte a été confirmée plus tard par des publications qui montrent des structures cristallographiques dimériques de MALT1. Dans l'interface du dimère de notre modèle, nous avons remarqué la présence d'acides aminés chargés qui pouvaient former des liaisons ioniques et ainsi réunir les deux monomères. La mutation de l'un de ces résidus, E549, pour une alanine, a complètement inhibé l'activité catalytique de MALT1. De plus, nous avons mis en évidence un rôle d'E549 dans la croissance dépendante de MALT1, des cellules dérivées de lymphomes B diffus à grandes cellules (DLBCL) de sous-type cellules B actives (ABC). Dans un premier temps nous avons été surpris de constater que cette mutation révélait seulement un défaut partiel de dimérisation, ce qui indique que des acides aminés supplémentaires sont indispensables pour former un dimère stable. Les structures cristallographiques de MALT1 ont révélé un rôle primordial d'E549 dans la stabilisation du site catalytique de la protéase via son interaction avec une arginine qui se trouve à côté de la cystéine du site actif. Dans une autre étude, nous avons découvert que la monoubiquitination de MALT1 est requise pour l'activité catalytique de la protéase. A remarquer que nous avons trouvé que le mutant E549A de l'interface dimère de MALT1 n'a pas pu être monoubiquitiné. Sur la base de ces résultats, nous suggérons que la formation correcte de l'interface du dimère est une condition préalable pour la monoubiquitination. Dans un second projet, nous avons découvert une nouvelle cible de la protéase MALT1, la ribonucléase Regnase-1. Il a été décrit que l'activité RNase de Regnase-1 régulait négativement les réponses immunitaires. Nous avons pu montrer que dans les lignées cellulaires ABC DLBCL, la Regnase-1 n'était pas seulement clivée par MALT1 mais également phosphorylée, au moins en partie, par la kinase de l'inhibiteur de KB (IKK). Les deux régulations semblent supprimer la fonction RNase de Regnase-1 et permettre ainsi la stabilisation de certains ARN messagers et la production de protéines favorisant la survie. En conclusion, nos études mettent en évidence le rôle-clé de la dimérisation de MALT1 et expliquent l'importance de l'activité catalytique de MALT1 pour l'activation des lymphocytes. Ainsi, nos résultats apportent des connaissances supplémentaires pour le développement de médicaments spécifiques ciblant l'activité catalytique de MALT1, qui pourraient être utiles pour modifier les réponses immunitaires et traiter des lymphomes.

Drought response of modern and old oat lines in greenhouse and long-term field trials

Selostus: Vanhojen ja uusien kauralajikkeiden reagointi kuivuuteen kasvihuone- ja peltokokeissa

Optimization of centrifugal separation of Ó-lactalbumin and ¿̐ư-lactoglobulin

Selostus: Ó-lactalbumiinin ja ¿̐ư-lactoglobuliinin sentrifugointierotuksen optimointi

Optimization of the sampling scheme for maps of physical and chemical properties estimated by kriging

The sampling scheme is essential in the investigation of the spatial variability of soil properties in Soil Science studies. The high costs of sampling schemes optimized with additional sampling points for each physical and chemical soil property, prevent their use in precision agriculture. The purpose of this study was to obtain an optimal sampling scheme for physical and chemical property sets and investigate its effect on the quality of soil sampling. Soil was sampled on a 42-ha area, with 206 geo-referenced points arranged in a regular grid spaced 50 m from each other, in a depth range of 0.00-0.20 m. In order to obtain an optimal sampling scheme for every physical and chemical property, a sample grid, a medium-scale variogram and the extended Spatial Simulated Annealing (SSA) method were used to minimize kriging variance. The optimization procedure was validated by constructing maps of relative improvement comparing the sample configuration before and after the process. A greater concentration of recommended points in specific areas (NW-SE direction) was observed, which also reflects a greater estimate variance at these locations. The addition of optimal samples, for specific regions, increased the accuracy up to 2 % for chemical and 1 % for physical properties. The use of a sample grid and medium-scale variogram, as previous information for the conception of additional sampling schemes, was very promising to determine the locations of these additional points for all physical and chemical soil properties, enhancing the accuracy of kriging estimates of the physical-chemical properties.

Reactivity spectrum of 30 monoclonal antimelanoma antibodies to a panel of 28 melanoma and control cell lines.

Thirty monoclonal antibodies from eight laboratories exchanged after the First Workshop on Monoclonal Antibodies to Human Melanoma held in March 1981 at NIH were tested in an antibody-binding radioimmunoassay using a panel of 28 different cell lines. This panel included 12 melanomas, three neuroblastomas, four gliomas, one retinoblastoma, four colon carcinomas, one lung carcinoma, one cervical carcinoma, one endometrial carcinoma, and one breast carcinoma. The reactivity pattern of the 30 monoclonal antibodies tested showed that none of them were directed against antigens strictly restricted to melanoma, but that several of them recognize antigenic structures preferentially expressed on melanoma cells. A large number of antibodies were found to crossreact with gliomas and neuroblastomas. Thus, they seem to recognize neuroectoderm associated differentiation antigens. Four monoclonal antibodies produced in our laboratory were further studied for the immunohistological localization of melanoma associated antigens on fresh tumor material. In a three-layer biotin-avidin-peroxidase system each antibody showed a different staining pattern with the tumor cells, suggesting that they were directed against different antigens.

Optimization of laser interferometers for the detection of gravitational waves from coalescing binaries

Coalescing compact binary systems are important sources of gravitational waves. Here we investigate the detectability of this gravitational radiation by the recently proposed laser interferometers. The spectral density of noise for various practicable configurations of the detector is also reviewed. This includes laser interferometers with delay lines and Fabry-Prot cavities in the arms, both in standard and dual recycling arrangements. The sensitivity of the detector in all those configurations is presented graphically and the signal-to-noise ratio is calculated numerically. For all configurations we find values of the detector's parameters which maximize the detectability of coalescing binaries, the discussion comprising Newtonian- as well as post-Newtonian-order effects. Contour plots of the signal-to-noise ratio are also presented in certain parameter domains which illustrate the interferometer's response to coalescing binary signals.

Artificial-Intelligence-Based Optimization of the Management of Snow Removal Assets and Resources Final Report, October 2002

Geographic information systems (GIS) and artificial intelligence (AI) techniques were used to develop an intelligent snow removal asset management system (SRAMS). The system has been evaluated through a case study examining snow removal from the roads in Black Hawk County, Iowa, for which the Iowa Department of Transportation (Iowa DOT) is responsible. The SRAMS is comprised of an expert system that contains the logical rules and expertise of the Iowa DOT’s snow removal experts in Black Hawk County, and a geographic information system to access and manage road data. The system is implemented on a mid-range PC by integrating MapObjects 2.1 (a GIS package), Visual Rule Studio 2.2 (an AI shell), and Visual Basic 6.0 (a programming tool). The system could efficiently be used to generate prioritized snowplowing routes in visual format, to optimize the allocation of assets for plowing, and to track materials (e.g., salt and sand). A test of the system reveals an improvement in snowplowing time by 1.9 percent for moderate snowfall and 9.7 percent for snowstorm conditions over the current manual system.

Optimization of analytical methods for the assessment of the quality of fats and oils used in continuous deep fat frying

La aplicabilidad, repetibilidad y capacidad de diferentes métodos de análisis para discriminar muestras de aceites con diferentes grados de oxidación fueron evaluadas mediante aceites recogidos en procesos de fritura en continuo en varias empresas españolas. El objetivo de este trabajo fue encontrar métodos complementarios a la determinación del índice de acidez para el control de calidad rutinario de los aceites de fritura empleados en estas empresas. La optimización de la determinación de la constante dieléctrica conllevó una clara mejora de la variabilidad. No obstante, excepto en el caso del índice del ATB, el resto de métodos ensayados mostraron una menor variabilidad. La determinación del índice del ATB fue descartada ya que su sensibilidad fue insuficiente para discriminar entre aceites con diferente grado de oxidación. Los diferentes parámetros de alteración determinados en los aceites de fritura mostraron correlaciones significativas entre el índice de acidez y varios parámetros de oxidación diferentes, como la constante dieléctrica, el índice de p-anisidina, la absorción al ultravioleta y el contenido en polímeros de los triacilgliceroles. El índice de acidez solo evalúa la alteración hidrolítica, por lo que estos parámetros aportan información complementaria al evaluar la alteración termooxidativa.