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.

Why are offspring born larger when it is colder? Phenotypic plasticity for offspring size in the cladoceran Simocephalus vetulus (Müller)

It has been predicted on theorerical grounds (Sibly & Calow, 1983; Taylor & Williams, 1984) that optimal offspring size should be highly sensitive to juvenile growth and survival rates. To test such models, genetically-identical individuals of Simicephalus vetulus were reared at different temperatures and monitored for offspring size and juvenile growth rate. As adult size correlates negatively with temperature, an analysis of covariance was performed to separate the effects of temperature and maternal size. The result is that offspring size indeed correlates negatively with juvenile growth rate. Comparisons are made with field observation of several authors on seasonal variation of offspring size and alternative explanations are discussed. It is concluded that present experiments support the prediction of the theoretical models.

Sexual dimorphism in resource acquisition and deployment: both size and timing matter.

Background and Aims The males and females of many dioecious plant species differ from one another in important life-history traits, such as their size. If male and female reproductive functions draw on different resources, for example, one should expect males and females to display different allocation strategies as they grow. Importantly, these strategies may differ not only between the two sexes, but also between plants of different age and therefore size. Results are presented from an experiment that asks whether males and females of Mercurialis annua, an annual plant with indeterminate growth, differ over time in their allocation of two potentially limiting resources (carbon and nitrogen) to vegetative (below-and above-ground) and reproductive tissues.Methods Comparisons were made of the temporal patterns of biomass allocation to shoots, roots and reproduction and the nitrogen content in the leaves between the sexes of M. annua by harvesting plants of each sex after growth over different periods of time.Key Results and Conclusions Males and females differed in their temporal patterns of allocation. Males allocated more to reproduction than females at early stages, but this trend was reversed at later stages. Importantly, males allocated proportionally more of their biomass towards roots at later stages, but the roots of females were larger in absolute terms. The study points to the important role played by both the timing of resource deployment and the relative versus absolute sizes of the sinks and sources in sexual dimorphism of an annual plant.

Entrance pupil size predicts retinal illumination in darkly pigmented eyes, but not lightly pigmented eyes.

PURPOSE: We determined the effect of entrance pupil size on retinal illumination. The influence of unilateral miosis on the magnitude of the pupil light reflex was studied to ascertain how a clinically significant anisocoria influences the relative afferent pupil defect (RAPD). METHODS: Miosis was induced by topical 1% pilocarpine in the right eye of 14 healthy subjects with normal eyes. The interocular difference in retinal illumination was assessed by computerized pupillometry from the stimulus response curve of the right and left eyes. The main outcome measure was the RAPD, determined by computerized pupillography, at baseline and after pilocarpine-induced anisocoria. RESULTS: Induced anisocoria produced a significant change in RAPD from baseline (mean = 1.60 dB in the miotic eye, P = 0.007). However, anisocoria correlated with RAPD only in subjects with darkly pigmented irides (Pearson correlation coefficient 0.793, P = 0.05). CONCLUSIONS: In darkly pigmented eyes, entrance pupil size significantly influenced the retinal illumination. However, retinal illumination of lightly pigmented eyes is relatively independent of entrance pupil size, presumably due to extrapupillary transmission of light through the iris and sclera. This has important implications in understanding the potential influence of anisocoria on the RAPD and also greater susceptibility of lightly pigmented eyes to light toxicity.

EEG-based functional brain networks: does the network size matter?

Functional connectivity in human brain can be represented as a network using electroencephalography (EEG) signals. These networks--whose nodes can vary from tens to hundreds--are characterized by neurobiologically meaningful graph theory metrics. This study investigates the degree to which various graph metrics depend upon the network size. To this end, EEGs from 32 normal subjects were recorded and functional networks of three different sizes were extracted. A state-space based method was used to calculate cross-correlation matrices between different brain regions. These correlation matrices were used to construct binary adjacency connectomes, which were assessed with regards to a number of graph metrics such as clustering coefficient, modularity, efficiency, economic efficiency, and assortativity. We showed that the estimates of these metrics significantly differ depending on the network size. Larger networks had higher efficiency, higher assortativity and lower modularity compared to those with smaller size and the same density. These findings indicate that the network size should be considered in any comparison of networks across studies.

Effect of training-sample size and classification difficulty on the accuracy of genomic predictors.

Introduction: As part of the MicroArray Quality Control (MAQC)-II project, this analysis examines how the choice of univariate feature-selection methods and classification algorithms may influence the performance of genomic predictors under varying degrees of prediction difficulty represented by three clinically relevant endpoints. Methods: We used gene-expression data from 230 breast cancers (grouped into training and independent validation sets), and we examined 40 predictors (five univariate feature-selection methods combined with eight different classifiers) for each of the three endpoints. Their classification performance was estimated on the training set by using two different resampling methods and compared with the accuracy observed in the independent validation set. Results: A ranking of the three classification problems was obtained, and the performance of 120 models was estimated and assessed on an independent validation set. The bootstrapping estimates were closer to the validation performance than were the cross-validation estimates. The required sample size for each endpoint was estimated, and both gene-level and pathway-level analyses were performed on the obtained models. Conclusions: We showed that genomic predictor accuracy is determined largely by an interplay between sample size and classification difficulty. Variations on univariate feature-selection methods and choice of classification algorithm have only a modest impact on predictor performance, and several statistically equally good predictors can be developed for any given classification problem.

Male dominance linked to size and age, but not to 'good genes' in brown trout (Salmo trutta).

BACKGROUND: Males that are successful in intra-sexual competition are often assumed to be of superior quality. In the mating system of most salmonid species, intensive dominance fights are common and the winners monopolise most mates and sire most offspring. We drew a random sample of mature male brown trout (Salmo trutta) from two wild populations and determined their dominance hierarchy or traits linked to dominance. The fish were then stripped and their sperm was used for in vitro fertilisations in two full-factorial breeding designs. We recorded embryo viability until hatching in both experiments, and juvenile survival during 20 months after release into a natural streamlet in the second experiment. Since offspring of brown trout get only genes from their fathers, we used offspring survival as a quality measure to test (i) whether males differ in their genetic quality, and if so, (ii) whether dominance or traits linked to dominance reveal 'good genes'. RESULTS: We found significant additive genetic variance on embryo survival, i.e. males differed in their genetic quality. Older, heavier and larger males were more successful in intra-sexual selection. However, neither dominance nor dominance indicators like body length, weight or age were significantly linked to genetic quality measured as embryo or juvenile survival. CONCLUSION: We found no evidence that females can improve their offspring's genetic viability by mating with large and dominant males. If there still were advantages of mating with dominant males, they may be linked to non-genetic benefits or to genetic advantages that are context dependent and therefore possibly not revealed under our experimental conditions - even if we found significant additive genetic variation for embryo viability under such conditions.

Immunoglobulin classes in aquatic mammals. Characterization by serologic cross-reactivity, molecular size and binding of human free secretory component.

On the basis of serologic cross-reactivity, three immunoglobulin classes homologous to human IgG, IgM and IgA were identified in two species of acquatic mammal representing the orders Cetacea (dolphin) and Pinnipedea (sea lion). Molecular size was estimated by sucrose density gradient ultracentrifugation and Sephadex G-200 chromatography, indicating a 7S IgG, 19S IgM and heterogeneous serum IgA. Human secretory component was readily bound to the IgM of both species and to an apparently lesser extent to the larger molecular size populations of IgA. No binding was observed with IgG. Several antisera specific for human γ-chains gave a single precipitin line with the sea lion IgG but when made to react with dolphin serum produced two lines, suggesting the presence of two different subclasses of IgG in this species.

Adult maternal body size matters.

Comment on: Horta BL, Gigante DP, Osmond C, Barros FC, Victora CG. Intergenerational effect of weight gain in childhood on offspring birthweight. Int J Epidemiol. 2009 Jun;38(3):724-32. PMID: 19376883.

Relating the permeability of quartz sands to their grain size and spectral induced polarization characteristics

Recently, Revil & Florsch proposed a novel mechanistic model based on the polarization of the Stern layer relating the permeability of granular media to their spectral induced polarization (SIP) characteristics based on the formation of polarized cells around individual grains. To explore the practical validity of this model, we compare it to pertinent laboratory measurements on samples of quartz sands with a wide range of granulometric characteristics. In particular, we measure the hydraulic and SIP characteristics of all samples both in their loose, non-compacted and compacted states, which might allow for the detection of polarization processes that are independent of the grain size. We first verify the underlying grain size/permeability relationship upon which the model of Revil & Florsch is based and then proceed to compare the observed and predicted permeability values for our samples by substituting the grain size characteristics by corresponding SIP parameters, notably the so-called Cole-Cole time constant. In doing so, we also asses the quantitative impact of an observed shift in the Cole-Cole time constant related to textural variations in the samples and observe that changes related to the compaction of the samples are not relevant for the corresponding permeability predictions. We find that the proposed model does indeed provide an adequate prediction of the overall trend of the observed permeability values, but underestimates their actual values by approximately one order-of-magnitude. This discrepancy in turn points to the potential importance of phenomena, which are currently not accounted for in the model and which tend to reduce the characteristic size of the prevailing polarization cells compared to the considered model, such as, for example, membrane polarization, contacts of double-layers of neighbouring grains, and incorrect estimation of the size of the polarized cells because of the irregularity of natural sand grains.

The correlation between inbreeding and fitness: does allele size matter?

The availability of highly polymorphic genetic markers, in particular microsatellites, has made it possible to test the effect of inbreeding on fitness in the field and in the absence of pedigree information. It has been suggested that the squared difference in allele size at a locus (d(2)) might be a better indicator of the level of inbreeding than is heterozygosity. Using an elegant new analytical model, Tsitrone et al. now put this idea to the test, and to rest.