Synthesis of F-18-labeled cyclic-[RGDfK] peptides for PET imaging of angiogenesis

Objectives: αvβ3 integrin is of great interest for tumor targeting because of its high concentration in tumor tissue. It recognizes ligands containing an arginine-glycine-aspartate motif (RGD), and a number of RGD-containing peptides have been developed as PET imaging probes of angiogenesis. We synthesized a series of 18F-labeled cyclic-[RGDfK] peptides for in vivo imaging of αvβ3 expression. Our F-18 labeled prosthetic groups were attached to the αvβ3 ligand via click chemistry, and the reaction conditions (time, temperature, solvent and pH) were optimized by using single modified amino acids.Methods: Seven amino acids were selected considering their different biochemical properties (polarity, total charge, presence of aromatic ring and heteroatom). All the amino acids were modified by the introduction of azido moiety to allow the interaction with alkyne prosthetic groups. Once the conditions of the click chemistry were optimized, the prosthetic groups were also coupled with the cyclic-[RGDfK] exhibiting an azido function. 4- Trimethylammonium-nitrobenzene triflate was used as precursor for the radiosynthesis of the prosthetic groups. The fluorination was carried out with K2CO3/K2.2.2 in CH3CN at 95 oC, and the nitro group was reduced with NaBH4 and Pd/C in MeOH. The resulting 18F-aniline was subsequently coupled to alkynoic acids to yield the final F-18 labeled prosthetic groups. Finally, the prosthetic groups were attached to the peptides via Huisgen's cycloaddition. Figure 1. F-18 labeled αvβ3 ligand.Results: Our new prosthetic groups were successfully clicked to the modified amino acids and to the cyclic- [RGDfK], and the reactions were almost quantitative within 1 to 3.5 h. The pH of the reaction did not influence the reaction kinetic and yield. The four steps of the F-18 labeling were completely automated providing the final products in quantities and yields practical for PET imaging. IC50 values of our ligands for αvβ3 and α5β1 demonstrated a high selectivity of our compounds towards αvβ3, as well as the negligible effect of the prosthetic groups on the affinity of the ligand to its receptor, as confirmed by the prediction of the molecular modeling.Conclusions: We have successfully synthesized novel F-18 labeled prosthetic groups, as well as novel PET imaging probes of αvβ3 expression. The reaction conditions of the Huisgen's cycloaddition were optimized with selected modified amino acids, and subsequently transposed to the cyclic-[RGDfK] peptide. IC50 data demonstrate that our 18F-labeled ligands were selective for αvβ3. In vivo microPET/CT studies in tumor bearing mice are underway.

Latex production with depolymerizing compounds of actin cytoskeleton in rubber trees

The objective of this work was to assess stimulated latex flow from rubber trees (Hevea brasiliensis) with saturated macrolide (latrunculin A), 1, 5, and 10% potassium iodide in 2% methylcellulose compared with 0.3% ethylene in 2% methylcellulose (check) and 2% methylcellulose (blank). Latex output and contents of pure rubber, total solid, sucrose, inorganic phosphorus, thiol, and Mg2+ were measured. The treatments containing 1% KI or saturated macrolide increased latex yields compared to the blank with 2% methylcellulose alone. The 1% KI or saturated macrolide treatments were equal to that of 0.3% ethylene check treatment. However, 5 and 10% KI were harmful to bark of rubber trees, even caused prolonged tapping panel dryness.

Comparing Random-based and k-Anonymity-Based Algorithms for Graph Anonymization

Recently, several anonymization algorithms have appeared for privacy preservation on graphs. Some of them are based on random-ization techniques and on k-anonymity concepts. We can use both of them to obtain an anonymized graph with a given k-anonymity value. In this paper we compare algorithms based on both techniques in orderto obtain an anonymized graph with a desired k-anonymity value. We want to analyze the complexity of these methods to generate anonymized graphs and the quality of the resulting graphs.

Magnetic resonance imaging overestimates ferumoxide-labeled stem cell survival after transplantation in the heart.

BACKGROUND: Stem cell labeling with iron oxide (ferumoxide) particles allows labeled cells to be detected by magnetic resonance imaging (MRI) and is commonly used to track stem cell engraftment. However, the validity of MRI for distinguishing surviving ferumoxide-labeled cells from other sources of MRI signal, for example, macrophages containing ferumoxides released from nonsurviving cells, has not been thoroughly investigated. We sought to determine the relationship between the persistence of iron-dependent MRI signals and cell survival 3 weeks after injection of syngeneic or xenogeneic ferumoxides-labeled stem cells (cardiac-derived stem cells) in rats. METHODS AND RESULTS: We studied nonimmunoprivileged human and rat cardiac-derived stem cells and human mesenchymal stem cells doubly labeled with ferumoxides and beta-galactosidase and injected intramyocardially into immunocompetent Wistar-Kyoto rats. Animals were imaged at 2 days and 3 weeks after stem cell injection in a clinical 3-T MRI scanner. At 2 days, injection sites of xenogeneic and syngeneic cells (cardiac-derived stem cells and mesenchymal stem cells) were identified by MRI as large intramyocardial signal voids that persisted at 3 weeks (50% to 90% of initial signal). Histology (at 3 weeks) revealed the presence of iron-containing macrophages at the injection site, identified by CD68 staining, but very few or no beta-galactosidase-positive stem cells in the animals transplanted with syngeneic or xenogeneic cells, respectively. CONCLUSIONS: The persistence of significant iron-dependent MRI signal derived from ferumoxide-containing macrophages despite few or no viable stem cells 3 weeks after transplantation indicates that MRI of ferumoxide-labeled cells does not reliably report long-term stem cell engraftment in the heart.

Multidelayed random walks: Theory and application to the neolithic transition in Europe

We present a model in which particles (or individuals of a biological population) disperse with a rest time between consecutive motions (or migrations) which may take several possible values from a discrete set. Particles (or individuals) may also react (or reproduce). We derive a new equation for the effective rest time T˜ of the random walk. Application to the neolithic transition in Europe makes it possible to derive more realistic theoretical values for its wavefront speed than those following from the single-delayed framework presented previously [J. Fort and V. Méndez, Phys. Rev. Lett. 82, 867 (1999)]. The new results are consistent with the archaeological observations of this important historical process

07040-015 Saylor Creek Watershed Final Report

Phase 2 of the Saylor Creek Improvement Project is focused on channel restoration. The existing stream channel is generally incised, running through areas primarily covered with heavy trees, brush and weeds. The ravine ranges from 6 to 20 feet deep through the corridor with very steep slopes in several areas. In two areas storm outlets are undercut or suspended above the channel. Tall undercut, eroded banks exist along several of the outside bends. Sediment deposition on the inside bends limits the cross-section of the channel, increasing flow velocity and forcing this faster flow toward the eroded outside bank. A wide array of practices will need to be implemented to address channel erosion. Improvements will be specifically tailored to address problems observed at each bend. The result will be a channel with a more natural appearance, and reduced use of hard armor and revetment. Some sections will require minimal grading with removal of underbrush for improved maintenance access and more sun exposure, better allowing deep­ rooted plants and flowers to establish to provide further erosion protection. Straight sections with steep banks will require grading to pull back slopes, increasing the creek's capacity to convey storm flows at slower velocities. Sections with sharp bends will require slope pull back and armor protection. A constructed wetland will collect and treat runoff from a small sub-watershed, before being discharged into the main tributary.

On the preservation of combinatorial types for maps on trees

We study the preservation of the periodic orbits of an A-monotone tree map f:T→T in the class of all tree maps g:S→S having a cycle with the same pattern as A. We prove that there is a period-preserving injective map from the set of (almost all) periodic orbits of ƒ into the set of periodic orbits of each map in the class. Moreover, the relative positions of the corresponding orbits in the trees T and S (which need not be homeomorphic) are essentially preserved

Time-delayed fronts from biased random walks

We generalize a previous model of time-delayed reaction–diffusion fronts (Fort and Méndez 1999 Phys. Rev. Lett. 82 867) to allow for a bias in the microscopic random walk of particles or individuals. We also present a second model which takes the time order of events (diffusion and reproduction) into account. As an example, we apply them to the human invasion front across the USA in the 19th century. The corrections relative to the previous model are substantial. Our results are relevant to physical and biological systems with anisotropic fronts, including particle diffusion in disordered lattices, population invasions, the spread of epidemics, etc

The use of quantile trees in the prediction of the diameter distribution of a stand

Abstract

Biomass equations for European trees : addendum

Abstract

What matters for predicting spatial distributions of trees: techniques, data, or species' characteristics?

Data characteristics and species traits are expected to influence the accuracy with which species' distributions can be modeled and predicted. We compare 10 modeling techniques in terms of predictive power and sensitivity to location error, change in map resolution, and sample size, and assess whether some species traits can explain variation in model performance. We focused on 30 native tree species in Switzerland and used presence-only data to model current distribution, which we evaluated against independent presence-absence data. While there are important differences between the predictive performance of modeling methods, the variance in model performance is greater among species than among techniques. Within the range of data perturbations in this study, some extrinsic parameters of data affect model performance more than others: location error and sample size reduced performance of many techniques, whereas grain had little effect on most techniques. No technique can rescue species that are difficult to predict. The predictive power of species-distribution models can partly be predicted from a series of species characteristics and traits based on growth rate, elevational distribution range, and maximum elevation. Slow-growing species or species with narrow and specialized niches tend to be better modeled. The Swiss presence-only tree data produce models that are reliable enough to be useful in planning and management applications.

Optimization strategies for fast detection of positive selection on phylogenetic trees.

MOTIVATION: The detection of positive selection is widely used to study gene and genome evolution, but its application remains limited by the high computational cost of existing implementations. We present a series of computational optimizations for more efficient estimation of the likelihood function on large-scale phylogenetic problems. We illustrate our approach using the branch-site model of codon evolution. RESULTS: We introduce novel optimization techniques that substantially outperform both CodeML from the PAML package and our previously optimized sequential version SlimCodeML. These techniques can also be applied to other likelihood-based phylogeny software. Our implementation scales well for large numbers of codons and/or species. It can therefore analyse substantially larger datasets than CodeML. We evaluated FastCodeML on different platforms and measured average sequential speedups of FastCodeML (single-threaded) versus CodeML of up to 5.8, average speedups of FastCodeML (multi-threaded) versus CodeML on a single node (shared memory) of up to 36.9 for 12 CPU cores, and average speedups of the distributed FastCodeML versus CodeML of up to 170.9 on eight nodes (96 CPU cores in total).Availability and implementation: ftp://ftp.vital-it.ch/tools/FastCodeML/. CONTACT: selectome@unil.ch or nicolas.salamin@unil.ch.

'Tommy Atkins' mango trees subjected to high density planting in subhumid tropical climate in northeastern Brazil

The objective of this work was to evaluate the effects of high density planting on 'Tommy Atkins' mango trees cultivated in subhumid warm tropical climate in northeastern Brazil. Treatments consisted of five spacial arrangements of plants (8x5 m, 7x4 m, 6x3 m, 5x2 m and 4x2 m), which resulted in the following plant densities: 250 (control), 357, 555, 1,000 and 1,250 plants per hectare. Plant vegetative and reproductive variables, besides fruit quality parameters, were evaluated at seven and eight years after transplantation to the field. In general, high density planting caused reduction in vegetative and reproductive variables of individual mango trees, but had little influence on fruit quality. Above 555 plants per hectare, a significant decrease was observed in mango tree growth. Furthermore, there were decreases in the percentage of flowering, fruit yield per plant and per area. However, planting density up to 357 plants per hectare, in spite of decreasing plant growth and fruit yield per tree, increases fruit yield per area in 30% in comparison to the control.