Capsid modified replicating adenovirus to selectively target colon cancer

Résumé: Pratiquement tous les cancers du colon contiennent des mutations dans la voie de signalisation de Wnt qui active constitutivement cette voie. Cette activation mène à la stabilisation de la β-catenine. La β-catenin est transportée dans le noyau ou elle active des gènes cible en interagissant avec le facteur de transcription de TCF/LEF. Des adénovirus qui peuvent sélectivement se répliquer dans les cellules tumorales sont les agents qui peuvent permettre la déstruction de la tumeur mais pas le tissu normal. In vitro, les adénovirus avec des sites d'attachement du facteur de transcription TCF dans les promoteurs de l'adénovirus montrent une sélectivité et une activité dans une large sélection de lignées cellulaires de cancer du colon. Au contraire, in vivo, quand les adénovirus modifiés sont injectés dans la circulation, ils sont moins efficaces à cause de leur fixation par le foie et à cause de l'absence d'expression du récepteur du Coxsackie-Adénovirus (CAR). Le but de ma thèse était de modifier la protéine principale de capside de l'adénovirus, fibre, pour augmenter l'infection des tumeurs du cancer du colon. La fibre de l'adénovirus est responsable de l'attachement aux cellules et de l'entrée virale. J'ai inséré un peptide RGD dans la boucle HI de la fibre qui dirige sélectivement le virus aux récepteurs des integrines. Les integrines sont surexprimées par les cellules du cancer du colon et l'endothélium des vesseaux de la tumeur. Le virus re-ciblé, vKH6, a montré une activité accrue dans toutes les lignées cellulaires de cancer du colon, tandis que la sélectivité était maintenue. In vivo, vKH6 était supérieur au virus avec une capside de type sauvage en retardant la croissance de la tumeur. Le virus s'est répliqué plus vite et dispersé graduellement dans la tumeur. Cet effet a été montré par hybridation in situ et par PCR quantitative. Cependant, la monothérapie avec le virus n'a pu retarder la croissance des cellules tumorales SW620 greffées que de 2 semaines, mais à cause des régions non infectées la tumeur n'a pas pu être éliminée. Bien que la combinaison avec les chimiothérapies conventionnelles soit d'intérêt potentiel, presque toutes interfèrent avec la réplication virale. Les drogues antiangiogéniques sont des agents anti-tumoraux efficaces et prometteurs. Ces drogues n'interfèrent pas avec le cycle de vie de l'adénovirus. RAD001 est un dérivé de la rapamycine et il inhibe mTOR, une protéine kinase de la voie de PI3K. RAD001 empêche la croissance des cellules et il a aussi des effets anti-angiogénique et immunosuppressifs. RAD001 in vitro n'affecte pas l'expression des gènes viraux et la production virale. La combinaison de VKH6 et RAD001 in vivo a un effet additif en retardant la croissance de la tumeur. Des nouveaux peptides plus efficaces dans le ciblage de l'adénovirus sont nécessaires pour augmenter l'infection des tumeurs. J'ai créé un système de recombinaison qui permettra la sélection de nouveaux peptides dans le contexte du génome de l'adénovirus. Summary Virtually all colon cancers have mutations in the Wnt signalling pathway which result in the constitutive activation of the pathway. This activation leads to stabilization of β-catenin. β-catenin enters the nucleus and activates its target genes through interaction with the TCF transcription factor. Selectively replicating adenoviruses are promising novel agents that can destroy the tumour but not the surrounding normal tissue. In vitro, adenoviruses with TCF binding sites in the early viral promoters show selectivity and activity in a broad panel of viruses but in vivo they are less effective due to the lack of expression of the Coxsackie-Adenovirus receptor (CAR). The aim of my thesis was to modify the major capsid protein of the adenovirus, fibre, to increase the infection of colon tumours. Fibre of adenovirus is responsible for the binding to cells and for the viral uptake. I inserted an RGD binding peptide into the HI loop of fibre that selectively targets the virus to integrins that are overexpressed on tumour cells and on tumour endothelium. The retargeted virus, vKH6, showed increased activity in all colon cancer cell lines while selectivity was maintained. In vivo, vKH6 is superior to a matched virus with a wild type capsid in delaying tumour growth. vKH6 replicates and gradually spreads within the tumour as shown by in situ hybridization and Q-PCR. The virus alone can delay the growth of SW620 xenografts by 2 weeks but due to uninfected tumour regions the tumour cannot be cured. Although combination with conventional chemotherapeutics is of potential interest, almost all of them interfere with the viral replication. Growing evidence supports that anti-angiogenic drugs are effective and promising anti-tumour agents. These drugs interfere less with the viral life cycle. RAD001 is a rapamycin derivative and it blocks mTOR, a protein kinase in the PI3K pathway. RAD001 inhibits cell growth and has strong anti-angiogenic and immunosuppressive effects. RAD001 in vitro does not affect viral gene expression and viral burst size. In vivo vKH6 and RAD001 have an additive effect in delaying tumour growth, but tumour growth is still not completely inhibited. To further increase tumour infection new tumour specific targeting peptides are needed. I created an adenovirus display library that will allow the selection of targeting peptides. This system may also facilitate the production of fibre modified viruses.

Artificially Intelligent and Adaptive Methods for Prediction and Analysis of Superheater Fireside Corrosion in Fluidized Bed Boilers

Superheater corrosion causes vast annual losses for the power companies. With a reliable corrosion prediction method, the plants can be designed accordingly, and knowledge of fuel selection and determination of process conditions may be utilized to minimize superheater corrosion. Growing interest to use recycled fuels creates additional demands for the prediction of corrosion potential. Models depending on corrosion theories will fail, if relations between the inputs and the output are poorly known. A prediction model based on fuzzy logic and an artificial neural network is able to improve its performance as the amount of data increases. The corrosion rate of a superheater material can most reliably be detected with a test done in a test combustor or in a commercial boiler. The steel samples can be located in a special, temperature-controlled probe, and exposed to the corrosive environment for a desired time. These tests give information about the average corrosion potential in that environment. Samples may also be cut from superheaters during shutdowns. The analysis ofsamples taken from probes or superheaters after exposure to corrosive environment is a demanding task: if the corrosive contaminants can be reliably analyzed, the corrosion chemistry can be determined, and an estimate of the material lifetime can be given. In cases where the reason for corrosion is not clear, the determination of the corrosion chemistry and the lifetime estimation is more demanding. In order to provide a laboratory tool for the analysis and prediction, a newapproach was chosen. During this study, the following tools were generated: · Amodel for the prediction of superheater fireside corrosion, based on fuzzy logic and an artificial neural network, build upon a corrosion database developed offuel and bed material analyses, and measured corrosion data. The developed model predicts superheater corrosion with high accuracy at the early stages of a project. · An adaptive corrosion analysis tool based on image analysis, constructedas an expert system. This system utilizes implementation of user-defined algorithms, which allows the development of an artificially intelligent system for thetask. According to the results of the analyses, several new rules were developed for the determination of the degree and type of corrosion. By combining these two tools, a user-friendly expert system for the prediction and analyses of superheater fireside corrosion was developed. This tool may also be used for the minimization of corrosion risks by the design of fluidized bed boilers.

Prediction of crude protein and classification of the growth stage of wheat plant samples from NIR spectra

Near-infrared spectroscopy (NIRS) was used to analyse the crude protein content of dried and milled samples of wheat and to discriminate samples according to their stage of growth. A calibration set of 72 samples from three growth stages of wheat (tillering, heading and harvest) and a validation set of 28 samples was collected for this purpose. Principal components analysis (PCA) of the calibration set discriminated groups of samples according to the growth stage of the wheat. Based on these differences, a classification procedure (SIMCA) showed a very accurate classification of the validation set samples : all of them were successfully classified in each group using this procedure when both the residual and the leverage were used in the classification criteria. Looking only at the residuals all the samples were also correctly classified except one of tillering stage that was assigned to both tillering and heading stages. Finally, the determination of the crude protein content of these samples was considered in two ways: building up a global model for all the growth stages, and building up local models for each stage, separately. The best prediction results for crude protein were obtained using a global model for samples in the two first growth stages (tillering and heading), and using a local model for the harvest stage samples.

Prediction of rabbit meat and bone weight using measurements and sample cuts

Regression equations predicting dissectable muscle weight in rabbits from external measurements were presented. Bone weight and weight of muscle groups were also carcass predicted. Predictive capacity of external measurements, retail cuts and muscle groups on total muscle, percent muscle, total bone and muscle to bone ratio were studied separately. Measurements on dissected retail cuts should be included in ordcr to obtain good equations for prediction of percent muscle in the carcass. Equations for predicting the muscle to bone ratio using external mcasurcments and data from the dissection of one hind leg were suggested. The equations had generally high coefficients of determination. The coefficient of determination for prediction of dissectable muscle was 0.91, and for percent muscle in the carcass 0.79.

A genetic risk score combining 32 SNPs is associated with body mass index and improves obesity prediction in people with major depressive disorder.

BACKGROUND: Obesity is strongly associated with major depressive disorder (MDD) and various other diseases. Genome-wide association studies have identified multiple risk loci robustly associated with body mass index (BMI). In this study, we aimed to investigate whether a genetic risk score (GRS) combining multiple BMI risk loci might have utility in prediction of obesity in patients with MDD. METHODS: Linear and logistic regression models were conducted to predict BMI and obesity, respectively, in three independent large case-control studies of major depression (Radiant, GSK-Munich, PsyCoLaus). The analyses were first performed in the whole sample and then separately in depressed cases and controls. An unweighted GRS was calculated by summation of the number of risk alleles. A weighted GRS was calculated as the sum of risk alleles at each locus multiplied by their effect sizes. Receiver operating characteristic (ROC) analysis was used to compare the discriminatory ability of predictors of obesity. RESULTS: In the discovery phase, a total of 2,521 participants (1,895 depressed patients and 626 controls) were included from the Radiant study. Both unweighted and weighted GRS were highly associated with BMI (P <0.001) but explained only a modest amount of variance. Adding 'traditional' risk factors to GRS significantly improved the predictive ability with the area under the curve (AUC) in the ROC analysis, increasing from 0.58 to 0.66 (95% CI, 0.62-0.68; χ(2) = 27.68; P <0.0001). Although there was no formal evidence of interaction between depression status and GRS, there was further improvement in AUC in the ROC analysis when depression status was added to the model (AUC = 0.71; 95% CI, 0.68-0.73; χ(2) = 28.64; P <0.0001). We further found that the GRS accounted for more variance of BMI in depressed patients than in healthy controls. Again, GRS discriminated obesity better in depressed patients compared to healthy controls. We later replicated these analyses in two independent samples (GSK-Munich and PsyCoLaus) and found similar results. CONCLUSIONS: A GRS proved to be a highly significant predictor of obesity in people with MDD but accounted for only modest amount of variance. Nevertheless, as more risk loci are identified, combining a GRS approach with information on non-genetic risk factors could become a useful strategy in identifying MDD patients at higher risk of developing obesity.

Genome-wide transcriptional responses to shade: Linking shade avoidance and auxin

Plants have the ability to use the composition of incident light as a cue to adapt development and growth to their environment. Arabidopsis thaliana as well as many crops are best adapted to sunny habitats. When subjected to shade, these plants exhibit a variety of physiological responses collectively called shade avoidance syndrome (SAS). It includes increased growth of hypocotyl and petioles, decreased growth rate of cotyledons and reduced branching and crop yield. These responses are mainly mediated by phytochrome photoreceptors, which exist either in an active, far-red light (FR) absorbing or an inactive, red light (R) absorbing isoform. In direct sunlight, the R to FR light (R/FR) ratio is high and converts the phytochromes into their physiologically active state. The phytochromes interact with downstream transcription factors such as PHYTOCHROME INTERACTING FACTOR (PIF), which are subsequently degraded. Light filtered through a canopy is strongly depleted in R, which result in a low R/FR ratio and renders the phytochromes inactive. Protein levels of downstream transcription factors are stabilized, which initiates the expression of shade-induced genes such as HFR1, PIL1 or ATHB-2. In my thesis, I investigated transcriptional responses mediated by the SAS in whole Arabidopsis seedlings. Using microarray and chromatin immunoprecipitation data, we identified genome-wide PIF4 and PIF5 dependent shade regulated gene as well as putative direct target genes of PIF5. This revealed evidence for a direct regulatory link between phytochrome signaling and the growth promoting phytohormone auxin (IAA) at the level of biosynthesis, transport and signaling. Subsequently, it was shown, that free-IAA levels are upregulated in response to shade. It is assumed that shade-induced auxin production takes predominantly place in cotyledons of seedlings. This implies, that IAA is subsequently transported basipetally to the hypocotyl and enhances elongation growth. The importance of auxin transport for growth responses has been established by chemical and genetic approaches. To gain a better understanding of spatio-temporal transcriptional regulation of shade-induce auxin, I generated in a second project, an organ specific high throughput data focusing on cotyledon and hypocotyl of young Arabidopsis seedlings. Interestingly, both organs show an opposite growth regulation by shade. I first investigated the spatio-transcriptional regulation of auxin re- sponsive gene, in order to determine how broad gene expression pattern can be explained by the hypothesized movement of auxin from cotyledons to hypocotyls in shade. The analysis suggests, that several genes are indeed regulated according to our prediction and others are regulated in a more complex manner. In addition, analysis of gene families of auxin biosynthetic and transport components, lead to the identification of essential family members for shade-induced growth re- sponses, which were subsequently experimentally confirmed. Finally, the analysis of expression pattern identified several candidate genes, which possibly explain aspects of the opposite growth response of the different organs.

Post-market environmental monitoring of Bt maize in Spain: Non-target effects of varieties derived from the event MON810 on predatory fauna

The Spanish Government has established post-market environmental monitoring (PMEM) as mandatory for genetically modified (GM) crop varieties cultivated in Spain. In order to comply with this regulation, effects of Bt maize varieties derived from the event MON810 on the predatory fauna were monitored for two years in northeast and central Spain. The study was carried out with a randomized block design in maize fields of 3-4 ha on which the abundance of plant-dwelling predators and the activity-density of soil-dwelling predators in Bt vs. non-Bt near-isogenic varieties were compared. To this end, the plots were sampled by visual inspection of a certain number of plants and pitfall traps 6 or 7 times throughout two seasons. No significant differences in predator densities on plants were found between Bt and non-Bt varieties. In the pitfall traps, significant differences between the two types of maize were found only in Staphylinidae, in which trap catches in non-Bt maize were higher than in Bt maize in central Spain. Based on the statistical power of the assays, surrogate arthropods for PMEM purposes are proposed; Orius spp. and Araneae for visual sampling and Carabidae, Araneae, and Staphylinidae for pitfall trapping. The other predator groups recorded in the study, Nabis sp. and Coccinellidae in visual sampling and Dermaptera in pitfall trapping, gave very poor power results. To help to establish a standardized protocol for PMEM of genetically modified crops, the effect-detecting capacity with a power of 0.8 of each predator group is given.

T cells as a therapeutic target in SLE.

Systemic lupus erythematosus (SLE) is a multisystem autoimmune disease characterized by a loss of tolerance to multiple endogenous antigens. SLE etiology remains largely unknown, despite recent insight into the immunopathogenesis of the disease. T cells are important in the development of the disease by amplifying the immune response and contributing to organ damage. Aberrant signaling, cytokine secretion, and tissue homing displayed by SLE T cells have been extensively studied and the underlying pathogenic molecular mechanisms are starting to be elucidated. T-cell-targeted treatments are being explored in SLE patients. This review is an update on the T-cell abnormalities and related therapeutic options in SLE.

The Atherosclerosis Burden Score (ABS): a Convenient Ultrasound-Based Score of Peripheral Atherosclerosis for Coronary Artery Disease Prediction.

Ultrasonographic detection of subclinical atherosclerosis improves cardiovascular risk stratification, but uncertainty persists about the most discriminative method to apply. In this study, we found that the "atherosclerosis burden score (ABS)", a novel straightforward ultrasonographic score that sums the number of carotid and femoral arterial bifurcations with plaques, significantly outperformed common carotid intima-media thickness, carotid mean/maximal thickness, and carotid/femoral plaque scores for the detection of coronary artery disease (CAD) (receiver operating characteristic (ROC) curve area under the curve (AUC) = 0.79; P = 0.027 to <0.001 with the other five US endpoints) in 203 patients undergoing coronary angiography. ABS was also more correlated with CAD extension (R = 0.55; P < 0.001). Furthermore, in a second group of 1128 patients without cardiovascular disease, ABS was weakly correlated with the European Society of Cardiology chart risk categories (R (2) = 0.21), indicating that ABS provided information beyond usual cardiovascular risk factor-based risk stratification. Pending prospective studies on hard cardiovascular endpoints, ABS appears as a promising tool in primary prevention.

Prediction in forensic science: a critical examination of common understandings

In this commentary, we argue that the term 'prediction' is overly used when in fact, referring to foundational writings of de Finetti, the correspondent term should be inference. In particular, we intend (i) to summarize and clarify relevant subject matter on prediction from established statistical theory, and (ii) point out the logic of this understanding with respect practical uses of the term prediction. Written from an interdisciplinary perspective, associating statistics and forensic science as an example, this discussion also connects to related fields such as medical diagnosis and other areas of application where reasoning based on scientific results is practiced in societal relevant contexts. This includes forensic psychology that uses prediction as part of its vocabulary when dealing with matters that arise in the course of legal proceedings.

Marketing strategy for a GSM phone service. Target market, St. Petersburg Russia. Case MegaFon

Tämä pro gradu tutkielma esittää markkinointistrategian digitaaliselle matkapuhelinpalvelulle penetroiduttaessa uusille markkinoille. MegaFon on uuden sukupolven mobiilioperaattori, jolla on lukuisia teknlogiaan perustuvia etuisuuksia puolellaan. Markkinointistrategian perusteena asiakkaat on määritelty, paikallistettu ja analysoitu. Tämän lisäksi, palvelun positiointi, hinnoittelu- ja jakelukanavavaihtoehdot on myöskin analysoitu ja määritelty. Menestystekijöihin liittyvät kysymykset, myynnin jälkeiseen toimintaan liittyvät asiat on myös tutkittu. Teoreettiset aspektit liittyvät pääsääntöisesti uuden palvelun ja palveluiden lanseeramiseen (palvelu, palvelun elinkaariajattelu), niiden markkinointistrategioihin lanseerausvaiheessa ja markkinointikanavien päättämiseen. Tutkimuksessa on selitetty MegaFonin ennustamis- ja lähestymistavat, joilla on valotettu todellista markkinatilannetta. Tämän tutkielman informaatio on kerätty useista lähteistä, kuten: yleistä aiheeseen liittyvää kirjallisuutta, sisäisiä raportteja ja Megafonin materiaalia, yhteistyökumppaneiden aineistoa, Internettia ja muuta saatavilla olevaa materiaalia. Tuloksena on määritelty päätöksenteon avainkohdat ja osaltaan perinteiset lähestymistavat on kyseenalaistettu.

Extensive microRNA-mediated crosstalk between lncRNAs and mRNAs in mouse embryonic stem cells.

Recently, a handful of intergenic long noncoding RNAs (lncRNAs) have been shown to compete with mRNAs for binding to miRNAs and to contribute to development and disease. Beyond these reports, little is yet known of the extent and functional consequences of miRNA-mediated regulation of mRNA levels by lncRNAs. To gain further insight into lncRNA-mRNA miRNA-mediated crosstalk, we reanalyzed transcriptome-wide changes induced by the targeted knockdown of over 100 lncRNA transcripts in mouse embryonic stem cells (mESCs). We predicted that, on average, almost one-fifth of the transcript level changes induced by lncRNAs are dependent on miRNAs that are highly abundant in mESCs. We validated these findings experimentally by temporally profiling transcriptome-wide changes in gene expression following the loss of miRNA biogenesis in mESCs. Following the depletion of miRNAs, we found that >50% of lncRNAs and their miRNA-dependent mRNA targets were up-regulated coordinately, consistent with their interaction being miRNA-mediated. These lncRNAs are preferentially located in the cytoplasm, and the response elements for miRNAs they share with their targets have been preserved in mammals by purifying selection. Lastly, miRNA-dependent mRNA targets of each lncRNA tended to share common biological functions. Post-transcriptional miRNA-mediated crosstalk between lncRNAs and mRNA, in mESCs, is thus surprisingly prevalent, conserved in mammals, and likely to contribute to critical developmental processes.

Automatic target validation based on neuroscientific literature mining for tractography.

Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied. Manual literature review to identify targets for a given seed region is tedious and potentially subjective. Therefore, complementary approaches would be useful. We propose to use text-mining models to automatically suggest potential targets from the neuroscientific literature, full-text articles and abstracts, so that they can be used for anatomical connection studies and more specifically for tractography. We applied text-mining models to three structures: two well-studied structures, since validated deep brain stimulation targets, the internal globus pallidus and the subthalamic nucleus and, the nucleus accumbens, an exploratory target for treating psychiatric disorders. We performed a systematic review of the literature to document the projections of the three selected structures and compared it with the targets proposed by text-mining models, both in rat and primate (including human). We ran probabilistic tractography on the nucleus accumbens and compared the output with the results of the text-mining models and literature review. Overall, text-mining the literature could find three times as many targets as two man-weeks of curation could. The overall efficiency of the text-mining against literature review in our study was 98% recall (at 36% precision), meaning that over all the targets for the three selected seeds, only one target has been missed by text-mining. We demonstrate that connectivity for a structure of interest can be extracted from a very large amount of publications and abstracts. We believe this tool will be useful in helping the neuroscience community to facilitate connectivity studies of particular brain regions. The text mining tools used for the study are part of the HBP Neuroinformatics Platform, publicly available at http://connectivity-brainer.rhcloud.com/.