Advanced geostatistical and machine-learning models for spatial data analysis of radioactively contaminated regions

Radioactive soil-contamination mapping and risk assessment is a vital issue for decision makers. Traditional approaches for mapping the spatial concentration of radionuclides employ various regression-based models, which usually provide a single-value prediction realization accompanied (in some cases) by estimation error. Such approaches do not provide the capability for rigorous uncertainty quantification or probabilistic mapping. Machine learning is a recent and fast-developing approach based on learning patterns and information from data. Artificial neural networks for prediction mapping have been especially powerful in combination with spatial statistics. A data-driven approach provides the opportunity to integrate additional relevant information about spatial phenomena into a prediction model for more accurate spatial estimates and associated uncertainty. Machine-learning algorithms can also be used for a wider spectrum of problems than before: classification, probability density estimation, and so forth. Stochastic simulations are used to model spatial variability and uncertainty. Unlike regression models, they provide multiple realizations of a particular spatial pattern that allow uncertainty and risk quantification. This paper reviews the most recent methods of spatial data analysis, prediction, and risk mapping, based on machine learning and stochastic simulations in comparison with more traditional regression models. The radioactive fallout from the Chernobyl Nuclear Power Plant accident is used to illustrate the application of the models for prediction and classification problems. This fallout is a unique case study that provides the challenging task of analyzing huge amounts of data ('hard' direct measurements, as well as supplementary information and expert estimates) and solving particular decision-oriented problems.

Evolution of gene expression in fire ants: the effects of developmental stage, caste, and species.

Ants provide remarkable examples of equivalent genotypes developing into divergent and discrete phenotypes. Diploid eggs can develop either into queens, which specialize in reproduction, or workers, which participate in cooperative tasks such as building the nest, collecting food, and rearing the young. In contrast, the differentiation between males and females generally depends upon whether eggs are fertilized, with fertilized (diploid) eggs giving rise to females and unfertilized (haploid) eggs giving rise to males. To obtain a comprehensive picture of the relative contributions of gender (sex), caste, developmental stage, and species divergence to gene expression evolution, we investigated gene expression patterns in pupal and adult queens, workers, and males of two species of fire ants, Solenopsis invicta and S. richteri. Microarray hybridizations revealed that variation in gene expression profiles is influenced more by developmental stage than by caste membership, sex, or species identity. The second major contributor to variation in gene expression was the combination of sex and caste. Although workers and queens share equivalent diploid nuclear genomes, they have highly distinctive patterns of gene expression in both the pupal and the adult stages, as might be expected given their extraordinary level of phenotypic differentiation. Overall, the difference in the proportion of differentially expressed genes was greater between workers and males than between workers and queens or queens and males, consistent with the fact that workers and males share neither gender nor reproductive capability. Moreover, between-species comparisons revealed that the greatest difference in gene expression patterns occurred in adult workers, a finding consistent with the fact that adult workers most directly experience the distinct external environments characterizing the different habitats occupied by the two species. Thus, much of the evolution of gene expression in ants may occur in the worker caste, despite the fact that these individuals are largely or completely sterile. Analyses of gene expression evolution revealed a combination of positive selection and relaxation of stabilizing selection as important factors driving the evolution of such genes.

Origin and evolution of homologous repeated sequences in the mitochondrial DNA control region of shrews.

The complete mitochondrial DNA (mtDNA) control region was amplified and directly sequenced in two species of shrew, Crocidura russula and Sorex araneus (Insectivora, Mammalia). The general organization is similar to that found in other mammals: a central conserved region surrounded by two more variable domains. However, we have found in shrews the simultaneous presence of arrays of tandem repeats in potential locations where repeats tend to occur separately in other mammalian species. These locations correspond to regions which are associated with a possible interruption of the replication processes, either at the end of the three-stranded D-loop structure or toward the end of the heavy-strand replication. In the left domain the repeated sequences (R1 repeats) are 78 bp long, whereas in the right domain the repeats are 12 bp long in C. russula and 14 bp long in S. araneus (R2 repeats). Variation in the copy number of these repeated sequences results in mtDNA control region length differences. Southern blot analysis indicates that level of heteroplasmy (more than one mtDNA form within an individual) differs between species. A comparative study of the R2 repeats in 12 additional species representing three shrew subfamilies provides useful indications for the understanding of the origin and the evolution of these homologous tandemly repeated sequences. An asymmetry in the distribution of variants within the arrays, as well as the constant occurrence of shorter repeated sequences flanking only one side of the R2 arrays, could be related to asymmetry in the replication of each strand of the mtDNA molecule. The pattern of sequence and length variation within and between species, together with the capability of the arrays to form stable secondary structures, suggests that the dominant mechanism involved in the evolution of these arrays in unidirectional replication slippage.

Label-free cytotoxicity screening assay by digital holographic microscopy.

Abstract We introduce a label-free technology based on digital holographic microscopy (DHM) with applicability for screening by imaging, and we demonstrate its capability for cytotoxicity assessment using mammalian living cells. For this first high content screening compatible application, we automatized a digital holographic microscope for image acquisition of cells using commercially available 96-well plates. Data generated through both label-free DHM imaging and fluorescence-based methods were in good agreement for cell viability identification and a Z'-factor close to 0.9 was determined, validating the robustness of DHM assay for phenotypic screening. Further, an excellent correlation was obtained between experimental cytotoxicity dose-response curves and known IC values for different toxic compounds. For comparable results, DHM has the major advantages of being label free and close to an order of magnitude faster than automated standard fluorescence microscopy.

Prospective and retrospective motion correction in diffusion magnetic resonance imaging of the human brain.

Diffusion-weighting in magnetic resonance imaging (MRI) increases the sensitivity to molecular Brownian motion, providing insight in the micro-environment of the underlying tissue types and structures. At the same time, the diffusion weighting renders the scans sensitive to other motion, including bulk patient motion. Typically, several image volumes are needed to extract diffusion information, inducing also inter-volume motion susceptibility. Bulk motion is more likely during long acquisitions, as they appear in diffusion tensor, diffusion spectrum and q-ball imaging. Image registration methods are successfully used to correct for bulk motion in other MRI time series, but their performance in diffusion-weighted MRI is limited since diffusion weighting introduces strong signal and contrast changes between serial image volumes. In this work, we combine the capability of free induction decay (FID) navigators, providing information on object motion, with image registration methodology to prospectively--or optionally retrospectively--correct for motion in diffusion imaging of the human brain. Eight healthy subjects were instructed to perform small-scale voluntary head motion during clinical diffusion tensor imaging acquisitions. The implemented motion detection based on FID navigator signals is processed in real-time and provided an excellent detection performance of voluntary motion patterns even at a sub-millimetre scale (sensitivity≥92%, specificity>98%). Motion detection triggered an additional image volume acquisition with b=0 s/mm2 which was subsequently co-registered to a reference volume. In the prospective correction scenario, the calculated motion-parameters were applied to perform a real-time update of the gradient coordinate system to correct for the head movement. Quantitative analysis revealed that the motion correction implementation is capable to correct head motion in diffusion-weighted MRI to a level comparable to scans without voluntary head motion. The results indicate the potential of this method to improve image quality in diffusion-weighted MRI, a concept that can also be applied when highest diffusion weightings are performed.

Proteasomal cleavage does not determine immunogenicity of gp100-derived peptides gp100 209-217 and gp100 209-217T210M.

Immune responses against tumor-associated antigens rely on efficient epitope presentation. The melanoma-associated antigen (Ag) gp100 contains HLA-A*0201 ligands that are characterized by low to medium binding affinity, among which gp100(209-217) is the most prominent (Kawakami et al., J Immunol 154:3961-3968, 1995). While this epitope is a natural T-cell target, it primes with low-efficiency T-cell responses during immunization. A modified gp100 epitope, gp100(209-217T210M), that contains a Thr to Met substitution at position 2 of the antigenic nonamer is characterized by high binding affinity for HLA-A*0201 and elicits strong and clinically effective T-cell responses. This higher affinity is believed to represent the sole reason for enhanced immunogenicity. Contrasting with this observation is the unpredictable relationship between affinity and immunogenicity observed in other antigen systems. In addition, we noted a striking difference between the capability of endogenously processed gp100(209-217) and gp100(209-217T210M) to induce T-cell responses in an in vitro model. Therefore, we questioned whether factors other than HLA-affinity might play a role in determining the immunogenicity of these epitopes. In the present study, we evaluated the in vitro proteasomal cleavages of 23meric precursor peptides encompassing the native sequence (gp100(201-223)) or the modified sequence (gp100(201-223T210M)). Here we show that the standard proteasome liberates the C-termini of both antigenic peptides but not the N-termini. Quantitative analysis of the digestion products revealed that more of the fragments displaying the final C-termini were produced from the wild-type precursor. However, a stronger TCR engagement was observed when fractions of digested gp100(201-223T210M) were used to activate an HLA-A*0201-expressing target T-cell clone. This difference was also found using separately produced, synthetic nonamers. In conclusion, the high binding affinity of gp100(209-217T210M) seems to compensate for possible differences in proteasomal cleavage at the biological level. Since the final antigenic nonamer is not directly produced by the proteasome, additional further factors may influence the antigenic peptide availability, such as post-proteasomal processing and intracellular peptide transport.

BMP-2 and TGF-beta1 differentially control expression of type II procollagen and alpha 10 and alpha 11 integrins in mouse chondrocytes.

Bone morphogenetic protein (BMP)-2 and transforming growth factor (TGF)-beta1 are multifunctional cytokines both proposed as stimulants for cartilage repair. Thus it is crucial to closely examine and compare their effects on the expression of key markers of the chondrocyte phenotype, at the gene and protein level. In this study, the expression of alpha 10 and alpha 11 integrin subunits and the IIA/IIB spliced forms of type II procollagen have been monitored for the first time in parallel in the same in vitro model of mouse chondrocyte dedifferentiation/redifferentiation. We demonstrated that TGF-beta1 stimulates the expression of the non-chondrogenic form of type II procollagen, IIA isoform, and of a marker of mesenchymal tissues, i.e. the alpha 11 integrin subunit. On the contrary, BMP-2 stimulates the cartilage-specific form of type II procollagen, IIB isoform, and a specific marker of chondrocytes, i.e. the alpha 10 integrin subunit. Collectively, our results demonstrate that BMP-2 has a better capability than TGF-beta1 to stimulate chondrocyte redifferentiation and reveal that the relative expressions of type IIB to type IIA procollagens and alpha 10 to alpha 11 integrin subunits are good markers to define the differentiation state of chondrocytes. In addition, adenoviral expression of Smad6, an inhibitor of BMP canonical Smad signaling, did not affect expression of total type II procollagen or the ratio of type IIA and type IIB isoforms in mouse chondrocytes exposed to BMP-2. This result strongly suggests that signaling pathways other than Smad proteins are involved in the effect of BMP-2 on type II procollagen expression.

In vivo 13C NMR spectroscopy and metabolic modeling in the brain: a practical perspective.

In vivo 13C NMR spectroscopy has the unique capability to measure metabolic fluxes noninvasively in the brain. Quantitative measurements of metabolic fluxes require analysis of the 13C labeling time courses obtained experimentally with a metabolic model. The present work reviews the ingredients necessary for a dynamic metabolic modeling study, with particular emphasis on practical issues.

The Waddlia genome: a window into chlamydial biology.

Growing evidence suggests that a novel member of the Chlamydiales order, Waddlia chondrophila, is a potential agent of miscarriage in humans and abortion in ruminants. Due to the lack of genetic tools to manipulate chlamydia, genomic analysis is proving to be the most incisive tool in stimulating investigations into the biology of these obligate intracellular bacteria. 454/Roche and Solexa/Illumina technologies were thus used to sequence and assemble de novo the full genome of the first representative of the Waddliaceae family, W. chondrophila. The bacteria possesses a 2'116'312 bp chromosome and a 15'593 bp low-copy number plasmid that might integrate into the bacterial chromosome. The Waddlia genome displays numerous repeated sequences indicating different genome dynamics from classical chlamydia which almost completely lack repetitive elements. Moreover, W. chondrophila exhibits many virulence factors also present in classical chlamydia, including a functional type III secretion system, but also a large complement of specific factors for resistance to host or environmental stresses. Large families of outer membrane proteins were identified indicating that these highly immunogenic proteins are not Chlamydiaceae specific and might have been present in their last common ancestor. Enhanced metabolic capability for the synthesis of nucleotides, amino acids, lipids and other co-factors suggests that the common ancestor of the modern Chlamydiales may have been less dependent on their eukaryotic host. The fine-detailed analysis of biosynthetic pathways brings us closer to possibly developing a synthetic medium to grow W. chondrophila, a critical step in the development of genetic tools. As a whole, the availability of the W. chondrophila genome opens new possibilities in Chlamydiales research, providing new insights into the evolution of members of the order Chlamydiales and the biology of the Waddliaceae.

GLUT2 in pancreatic and extra-pancreatic gluco-detection (review).

Detection of variations in blood glucose concentrations by pancreatic beta-cells and a subsequent appropriate secretion of insulin are key events in the control of glucose homeostasis. Because a decreased capability to sense glycemic changes is a hallmark of type 2 diabetes, the glucose signalling pathway leading to insulin secretion in pancreatic beta-cells has been extensively studied. This signalling mechanism depends on glucose metabolism and requires the presence of specific molecules such as GLUT2, glucokinase and the K(ATP) channel subunits Kir6.2 and SUR1. Other cells are also able to sense variations in glycemia or in local glucose concentrations and to modulate different physiological functions participating in the general control of glucose and energy homeostasis. These include cells forming the hepatoportal vein glucose sensor, which controls glucose storage in the liver, counterregulation, food intake and glucose utilization by peripheral tissues and neurons in the hypothalamus and brainstem whose firing rates are modulated by local variations in glucose concentrations or, when not protected by a blood-brain barrier, directly by changes in blood glucose levels. These glucose-sensing neurons are involved in the control of insulin and glucagon secretion, food intake and energy expenditure. Here, recent physiological studies performed with GLUT2-/- mice will be described, which indicate that this transporter is essential for glucose sensing by pancreatic beta-cells, by the hepatoportal sensor and by sensors, probably located centrally, which control activity of the autonomic nervous system and stimulate glucagon secretion. These studies may pave the way to a fine dissection of the molecular and cellular components of extra-pancreatic glucose sensors involved in the control of glucose and energy homeostasis.

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Lung cancer treatment strategy relies on an accurate staging of the disease and a careful evaluation of patient characteristics, including capability of undergoing and tolerating a defined treatment plan. Therefore, a solid knowledge on all intervention-related adverse events and drug toxicities is essential for a reliable decision-making process. Most lung cancer patients are diagnosed at an advanced stage of the disease, correlated with a dismal prognosis. Systemic therapy is the mainstay, and drug selection still strongly relies on expected toxicity profile. This chapter first describes the drug standard options and their respective toxicities in this context. Side effects of more complex multimodality combined treatments of early non-small-cell lung cancer as well as small-cell lung cancer, usually involving use of the same cytotoxic agents jointly with surgery and radiotherapy, are discussed in the second part of this chapter.

Comprehensive analysis of proteins secreted by dermatophytes in a protein medium which to some extent mimic "in vivo" growth parameters

RESUME : Les dermatophytes sont les agents infectieux les plus fréquents responsables de la plupart des mycoses superficielles chez les humains et chez les animaux. Ces infections, dermatophytoses, également appelées tineas ou teignes, sont fréquentes et causent des problèmes de santé publique au niveau mondial. La capacité d'envahir et de progresser au sein des structures kératinisées est probablement liée à la sécrétion de différentes enzymes kératinolytiques, qui sont considérées comme la principale caractéristique liée à la pathogénicité de ces champignons. L'objectif de ma thèse a été premièrement de progresser dans l'identification et la caractérisation des nouvelles protéines sécrétées, afin de mieux comprendre a) la capacité globale des dermatophytes à envahir les structures kératinisées, et b) les différences dans la virulence et la spécificité d'hôte que présentent les espèces étudiées .Pour progresser dans l'identification et la caractérisation de ces nouvelles protéines, les secretomes de six espèces de dermatophytes (Trichophyton rubrum, Trichophyton violaceum, Trichophyton soudanense, Trichophyton equinum, Arthroderma vanbreuseghemii et Trichophyton tonsurans) ont été étudiés. Bien qu'il y ait un niveau globalement élevé de similitude entre les protéases sécrétées, les différentes espèces de dermatophytes sécrètent des profiles protéiques distincts lorsqu'elles sont cultivées dans les mêmes conditions de culture, et donc une signature spécifique a pu être associé à chaque espèce. Ces profiles ont été un outil avantageux pour identifier et cartographier les protéines orthologues aux six espèces et ont aussi permit la discrimination d'espèces très proches comme T. tonsurans et T. equinum qui ne peuvent pas être différenciées par l'ADN ribosomal. Ce travail également présente ce que l'on croit être la première identification global des protéines sécrétées par les dermatophytes dans des conditions de culture que incitent l'activité protéolytique extracellulaire. Ce catalogue de protéines, comprenant des endo- and exo- proteases, autres hydrolases, oxydoreductases et des protéines avec fonction inconnue, représente probablement le spectre d'enzymes qui permettent la dégradation des tissus kératinisés en composés qui peuvent être assimilés par le champignon. Les résultats suggèrent qu'un changement écologique pourrait être associé à une expression différentielle des gènes codant les protéines sécrétées, en particulier, les protéases, plutôt qu'à des divergences génétiques au niveau des gènes codant les protéines orthologues. Une sécrétion différentielle des protéines par les dermatophytes pourrait également être responsable de la variabilité inflammatoire qui causent ces agents infectieux chez les différents hôtes. Par conséquent, les protéines identifiées ici sont également importantes pour faire la lumière sur la réponse immunitaire de l'hôte au cours du processus infectieux. SUMMARY : Dermatophytes are the most common infectious agents responsible for superficial mycosis in humans and animals. Dermatophytoses, also called tineas or ringworm, are frequent and cause public health problems worldwide. The secretion of different keratinolytic enzymes is believed to be a key pathogenicity-related characteristic of these fungi. The aim of this work was first to progress in the identification and characterization of novel secreted proteins, in order to better understand a) the overall capability of dermatophytes to invade keratinised structures, and b) differences in virulence and host-specificity of the investigated species. To progress in the identification and characterization of novel proteins, the secretomes from Trichophyton rubrum, Trichophyton violaceum, Trichophyton soudanense, Trichophyton equinum, Arthroderma vanbreuseghemii and Trichophyton tonsurans were studied. Although there is a high global level of similarity among the secreted proteases, different dermatophyte species produce distinct patterns of proteins when grown in the same culture medium, and so a specific signature could be associated to each species. These patterns were useful to identify and map orthologous proteins among the six species, as well as to discriminate the closely related species T. tonsurans and T. equinum, which cannot be differentiated by ribosomal DNA. This work also presents the first in-depth identification of the major proteins secreted by dermatophytes growing under conditions promoting extracellular proteolytic activity. This catalogue of proteins, which include several endo- and exo- proteases, other hydrolases, oxydoreductases, and proteins of unknown function, probably represents the spectrum of enzymes that allow the degradation of keratinized tissues into compounds which can be assimilated by the fungus. The results suggest that ecological switching could be related to a differential expression of genes encoding secreted proteins, particularly, proteases, rather than genetic divergences of the genes encoding orthologous proteins. Differential secretion of proteins by Dermatophyte species could also be responsible for the variable inflammation caused by the infectious agent within the host. Therefore, the proteins here identified are also important to shed light into the immune response of the host during the infection process.

Seal properties of TachoSil: in vitro hemodynamic measurements.

Fibrin glue products and collagen patches are frequently used as a sealing product, preventing surgical side bleedings. This is especially true in the field of cardiovascular surgery, where increasing numbers of patients are being operated with antiplatelet and anticoagulation therapy. The aim of this report was, in an in vitro hemodynamic setting, to examine the sealant properties of the TachoSil (Nycomed Pharma, Linz, Austria) patch. Burst pressure and normal force of 15 TachoSil sealed defects were measured. This was determined in a closed hydraulic system. Mean burst pressure load for a 5-mm defect was 69+/-11.4 mmHg; for a 7-mm defect was 63+/-16 mmHg; and, 62+/-16 mmHg for the defect with a diameter of 10 mm (P>0.05). The mean calculated normal force was as follows: 0.91+/-0.15 N for the 5 mm defect, 6.5+/-1.6 N for the 7 mm, and 8.1+/-0.75 N for the 10 mm defect. The TachoSil patch has the capability to seal small defects. However, at the larger defects the seal character was significantly reduced. These results suggest that the device may be a good alternative for hemostasis for small defects. The capacity to curtail or stop hemorrhage at the larger defects is unlikely.

Uncovering the genetic basis of adaptive change: on the intersection of landscape genomics and theoretical population genetics

A workshop recently held at the Ecole Polytechnique Federale de Lausanne (EPFL, Switzerland) was dedicated to understanding the genetic basis of adaptive change, taking stock of the different approaches developed in theoretical population genetics and landscape genomics and bringing together knowledge accumulated in both research fields. Indeed, an important challenge in theoretical population genetics is to incorporate effects of demographic history and population structure. But important design problems (e.g. focus on populations as units, focus on hard selective sweeps, no hypothesis-based framework in the design of the statistical tests) reduce their capability of detecting adaptive genetic variation. In parallel, landscape genomics offers a solution to several of these problems and provides a number of advantages (e.g. fast computation, landscape heterogeneity integration). But the approach makes several implicit assumptions that should be carefully considered (e.g. selection has had enough time to create a functional relationship between the allele distribution and the environmental variable, or this functional relationship is assumed to be constant). To address the respective strengths and weaknesses mentioned above, the workshop brought together a panel of experts from both disciplines to present their work and discuss the relevance of combining these approaches, possibly resulting in a joint software solution in the future.

Tumor targeting with newly designed biparatopic antibodies directed against two different epitopes of the carcinoembryonic antigen (CEA).

In an attempt to improve tumor targeting and tumor retention time of monoclonal antibodies (MAbs), we prepared biparatopic antibodies (BpAbs) having the capability of binding 2 different non-overlapping epitopes on the same target antigen molecule, namely, the carcinoembryonic antigen (CEA). Six BpAbs were constructed by coupling 2 different Fab' fragments from 4 different specific anti-CEA MAbs recognizing 4 CEA epitopes (Gold 1-4). Demonstration of the double paratopic binding of these antibodies for CEA was confirmed in vitro by inhibition radioimmunoassay and cross-inhibition analysis by surface plasmon resonance (SPR; BIACORE) technology. Using the latter technique, the affinity constants for CEA immobilized onto the sensor chip were found to range from 0.37 to 1.54 x 10(9) M(-1) for the 4 parental F(ab')2 fragments and from 1.88 to 10.14 x 10(9) M(-1) for the BpAbs, demonstrating the advantage of biparatopic binding over conventional F(ab')2 binding. The Ka improvement was particularly high for BpAb F6/35A7 and BpAb F6/B17 with a 9.5- and 8.1-fold increase, respectively, as compared with the parental F(ab')2. In vivo, the 6 BpAbs were compared with their 2 respective parental F(ab')2 by injection of 131I-BpAb/125I-F(ab')2 parental fragments into nude mice xenografted with the human colon carcinoma T380. Dissection 72 hr post-injection demonstrated that BpAb B17/CE25 and BpAb F6/B17 gave higher tumor uptake than that of their parental F(ab')2. This finding is particularly interesting for BpAb F6/B17, which compared favorably with the F6 F(ab')2, one of the best parental F(ab')2 fragments used in our study.