A filtering method to correct time-lapse 3D ERT data and improve imaging of natural aquifer dynamics

We have developed a processing methodology that allows crosshole ERT (electrical resistivity tomography) monitoring data to be used to derive temporal fluctuations of groundwater electrical resistivity and thereby characterize the dynamics of groundwater in a gravel aquifer as it is infiltrated by river water. Temporal variations of the raw ERT apparent-resistivity data were mainly sensitive to the resistivity (salinity), temperature and height of the groundwater, with the relative contributions of these effects depending on the time and the electrode configuration. To resolve the changes in groundwater resistivity, we first expressed fluctuations of temperature-detrended apparent-resistivity data as linear superpositions of (i) time series of riverwater-resistivity variations convolved with suitable filter functions and (ii) linear and quadratic representations of river-water-height variations multiplied by appropriate sensitivity factors; river-water height was determined to be a reliable proxy for groundwater height. Individual filter functions and sensitivity factors were obtained for each electrode configuration via deconvolution using a one month calibration period and then the predicted contributions related to changes in water height were removed prior to inversion of the temperature-detrended apparent-resistivity data. Applications of the filter functions and sensitivity factors accurately predicted the apparent-resistivity variations (the correlation coefficient was 0.98). Furthermore, the filtered ERT monitoring data and resultant time-lapse resistivity models correlated closely with independently measured groundwater electrical resistivity monitoring data and only weakly with the groundwater-height fluctuations. The inversion results based on the filtered ERT data also showed significantly less inversion artefacts than the raw data inversions. We observed resistivity increases of up to 10% and the arrival time peaks in the time-lapse resistivity models matched those in the groundwater resistivity monitoring data.

Detecting long-range chromatin interactions using the chromosome conformation capture sequencing (4C-seq) method.

Eukaryotic transcription is tightly regulated by transcriptional regulatory elements, even though these elements may be located far away from their target genes. It is now widely recognized that these regulatory elements can be brought in close proximity through the formation of chromatin loops, and that these loops are crucial for transcriptional regulation of their target genes. The chromosome conformation capture (3C) technique presents a snapshot of long-range interactions, by fixing physically interacting elements with formaldehyde, digestion of the DNA, and ligation to obtain a library of unique ligation products. Recently, several large-scale modifications to the 3C technique have been presented. Here, we describe chromosome conformation capture sequencing (4C-seq), a high-throughput version of the 3C technique that combines the 3C-on-chip (4C) protocol with next-generation Illumina sequencing. The method is presented for use in mammalian cell lines, but can be adapted to use in mammalian tissues and any other eukaryotic genome.

Method to assess and optimise dependability of complex macro-systems: application to a railway signalling system

Achieving a high degree of dependability in complex macro-systems is challenging. Because of the large number of components and numerous independent teams involved, an overview of the global system performance is usually lacking to support both design and operation adequately. A functional failure mode, effects and criticality analysis (FMECA) approach is proposed to address the dependability optimisation of large and complex systems. The basic inductive model FMECA has been enriched to include considerations such as operational procedures, alarm systems. environmental and human factors, as well as operation in degraded mode. Its implementation on a commercial software tool allows an active linking between the functional layers of the system and facilitates data processing and retrieval, which enables to contribute actively to the system optimisation. The proposed methodology has been applied to optimise dependability in a railway signalling system. Signalling systems are typical example of large complex systems made of multiple hierarchical layers. The proposed approach appears appropriate to assess the global risk- and availability-level of the system as well as to identify its vulnerabilities. This enriched-FMECA approach enables to overcome some of the limitations and pitfalls previously reported with classical FMECA approaches.

Accurate calculations of intermolecular interaction energies using explicitly correlated coupled cluster wave functions and a dispersion-weighted MP2 method.

Explicitly correlated coupled-cluster calculations of intermolecular interaction energies for the S22 benchmark set of Jurecka, Sponer, Cerny, and Hobza (Chem. Phys. Phys. Chem. 2006, 8, 1985) are presented. Results obtained with the recently proposed CCSD(T)-F12a method and augmented double-zeta basis sets are found to be in very close agreement with basis set extrapolated conventional CCSD(T) results. Furthermore, we propose a dispersion-weighted MP2 (DW-MP2) approximation that combines the good accuracy of MP2 for complexes with predominately electrostatic bonding and SCS-MP2 for dispersion-dominated ones. The MP2-F12 and SCS-MP2-F12 correlation energies are weighted by a switching function that depends on the relative HF and correlation contributions to the interaction energy. For the S22 set, this yields a mean absolute deviation of 0.2 kcal/mol from the CCSD(T)-F12a results. The method, which allows obtaining accurate results at low cost, is also tested for a number of dimers that are not in the training set.

Method for retinal gene repair in neonatal mouse.

Gene correction at the site of the mutation in the chromosome is the absolute way to really cure a genetic disease. The oligonucleotide (ODN)-mediated gene repair technology uses an ODN perfectly complementary to the genomic sequence except for a mismatch at the base that is mutated. The endogenous repair machinery of the targeted cell then mediates substitution of the desired base in the gene, resulting in a completely normal sequence. Theoretically, it avoids potential gene silencing or random integration associated with common viral gene augmentation approaches and allows an intact regulation of expression of the therapeutic protein. The eye is a particularly attractive target for gene repair because of its unique features (small organ, easily accessible, low diffusion into systemic circulation). Moreover therapeutic effects on visual impairment could be obtained with modest levels of repair. This chapter describes in details the optimized method to target active ODNs to the nuclei of photoreceptors in neonatal mouse using (1) an electric current application at the eye surface (saline transpalpebral iontophoresis), (2) combined with an intravitreous injection of ODNs, as well as the experimental methods for (3) the dissection of adult neural retinas, (4) their immuno-labelling, and (5) flat-mounting for direct observation of photoreceptor survival, a relevant criteria of treatment outcomes for retinal degeneration.

High b-value diffusion-weighted imaging: A sensitive method to reveal white matter differences in schizophrenia.

Over the last 10 years, diffusion-weighted imaging (DWI) has become an important tool to investigate white matter (WM) anomalies in schizophrenia. Despite technological improvement and the exponential use of this technique, discrepancies remain and little is known about optimal parameters to apply for diffusion weighting during image acquisition. Specifically, high b-value diffusion-weighted imaging known to be more sensitive to slow diffusion is not widely used, even though subtle myelin alterations as thought to happen in schizophrenia are likely to affect slow-diffusing protons. Schizophrenia patients and healthy controls were scanned with a high b-value (4000s/mm(2)) protocol. Apparent diffusion coefficient (ADC) measures turned out to be very sensitive in detecting differences between schizophrenia patients and healthy volunteers even in a relatively small sample. We speculate that this is related to the sensitivity of high b-value imaging to the slow-diffusing compartment believed to reflect mainly the intra-axonal and myelin bound water pool. We also compared these results to a low b-value imaging experiment performed on the same population in the same scanning session. Even though the acquisition protocols are not strictly comparable, we noticed important differences in sensitivities in the favor of high b-value imaging, warranting further exploration.

Study of the regulation of antifungal activity in plant-associated pseudomas fluorescens

RésuméEn agriculture d'énormes pertes sont causées par des champignons telluriques pathogènes tels que Thielaviopsis, Fusarium, Gaeumannomyces et Rhizoctonia ou encore l'oomycète Pythium. Certaines bactéries dites bénéfiques, comme Pseudomonas fluorescens, ont la capacité de protéger les plantes de ces pathogènes par la colonisation de leur racines, par la production de métabolites secondaires possédants des propriétés antifongiques et par l'induction des mécanismes de défenses de la plante colonisée. P. fluorescens CHAO, une bactérie biocontrôle isolée d'un champ de tabac à Payerne, a la faculté de produire un large spectre de métabolites antifongiques, en particulier le 2,4- diacétylphloroglucinol (DAPG), la pyolutéorine (PLT), le cyanure d'hydrogène (HCN), la pyrrolnitrine (PRN) ainsi que des chélateurs de fer.La plante, par sécrétion racinaire, produit des rhizodéposites, source de carbone et d'azote, qui profitent aux populations bactériennes vivant dans la rhizosphere. De plus, certains stresses biotiques et abiotiques modifient cette sécrétion racinaire, en terme quantitatif et qualitatif. De leur côté, les bactéries bénéfiques, améliorent, de façon direct et/ou indirect, la croissance de la plante hôte. De nombreux facteurs biotiques et abiotiques sont connus pour réguler la production de métabolites secondaires chez les bactéries. Des études récentes ont démontré l'importance de la communication entre la plante et les bactéries bénéfiques afin que s'établisse une interaction profitant à chacun des deux partis. Il est ainsi vraisemblable que les populations bactériennes associées aux racines soient capables d'intégrer ces signaux et d'adapter spécifiquement leur comportement en conséquence.La première partie de ce travail de thèse a été la mise au point d'outils basés sur la cytométrie permettant de mesurer l'activité antifongique de cellules bactériennes individuelles dans un environnent naturel, les racines des plantes. Nous avons démontré, grâce à un double marquage aux protéines autofluorescentes GFP et mCherry, que les niveaux d'expression des gènes impliqués dans la biosynthèse des substances antifongiques DAPG, PLT, PRN et HCN ne sont pas les mêmes dans des milieux de cultures liquides que sur les racines de céréales. Par exemple, l'expression de pltA (impliqué dans la biosynthèse du PLT) est quasiment abolie sur les racines de blé mais atteint un niveau relativement haut in vitro. De plus cette étude a mis en avant l'influence du génotype céréalien sur l'expression du gène phlA qui est impliqué dans la biosynthèse du DAPG.Une seconde étude a révélé la communication existant entre une céréale (orge) infectée par le pathogène tellurique Pythium ultimum et P. fluorescens CHAO. Un système de partage des racines nous a permis de séparer physiquement le pathogène et la bactérie bénéfique sur la plante. Cette méthode a donné la possibilité d'évaluer l'effet systémique, causé par l'attaque du pathogène, de la plante sur la bactérie biocontrôle. En effet, l'infection par le phytopathogène modifie la concentration de certains composés phénoliques dans les exsudats racinaires stimulant ainsi l'expression de phi A chez P.fluorescens CHAO.Une troisième partie de ce travail focalise sur l'effet des amibes qui sont des micro-prédateurs présents dans la rhizosphere. Leur présence diminue l'expression des gènes impliqués dans la biosynthèse du DAPG, PLT, PRN et HCN chez P.fluorescens CHAO, ceci en culture liquide et sur des racines d'orge. De plus, des molécules provenant du surnageant d'amibes, influencent l'expression des gènes requis pour la biosynthèse de ces antifongiques. Ces résultats illustrent que les amibes et les bactéries de la rhizosphere ont développé des stratégies pour se reconnaître et adapter leur comportement.La dernière section de ce travail est consacrée à l'acide indole-acétique (LA.A), une phytohormone connue pour son effet stimulateur sur phlA. Une étude moléculaire détaillée nous a démontré que cet effet de l'IAA est notamment modulé par une pompe à efflux (FusPl) et de son régulateur transcriptionnel (MarRl). De plus, les gènes fusPl et marRl sont régulés par d'autres composés phénoliques tels que le salicylate (un signal végétal) et l'acide fusarique (une phytotoxine du pathogène Fusarium).En résumé, ce travail de thèse illustre la complexité des interactions entre les eucaryotes et procaryotes de la rhizosphère. La reconnaissance mutuelle et l'instauration d'un dialogue moléculaire entre une plante hôte et ses bactéries bénéfiques associées? sont indispensables à la survie des deux protagonistes et semblent être hautement spécifiques.SummaryIn agriculture important crop losses result from the attack of soil-borne phytopathogenic fungi, including Thielaviopsis, Fusarium, Gaeumannomyces and Rhizoctonia, as well as from the oomycete Pythium. Certain beneficial microorganisms of the rhizosphere, in particular Pseudomonas fluorescens, have the ability to protect plants against phytopathogens by the intense colonisation of roots, by the production of antifungal exoproducts, and by induction of plant host defences. P. fluorescens strain CHAO, isolated from a tobacco field near Payerne, produces a large array of antifungal exoproducts, including 2,4-diacetylphloroglucinol (DAPG), pyoluteorin (PLT), hydrogen cyanide (HCN), pyrrolnitrin (PRN) and iron chelators. Plants produce rhizodeposites via root secretion and these represent a relevant source of carbon and nitrogen for rhizosphere microorganisms. Various biotic and abiotic stresses influence the quantity and the quality of released exudates. One the other hand, beneficial bacteria directly or indirectly promote plant growth. Biotic and abiotic factors regulate exoproduct production in biocontrol microorganisms. Recent studies have highlighted the importance of communication in establishing a fine-tuned mutualist interaction between plants and their associated beneficial bacteria. Bacteria may be able to integrate rhizosphere signals and adapt subsequently their behaviour.In a first part of the thesis, we developed a new method to monitor directly antifungal activity of individual bacterial cells in a natural environment, i.e. on roots of crop plants. We were able to demonstrate, via a dual-labelling system involving green and red fluorescent proteins (GFP, mCherry) and FACS-based flow cytometry, that expression levels of biosynthetic genes for the antifungal compounds DAPG, PLT, PRN, and HCN are highly different in liquid culture and on roots of cereals. For instance, expression of pltA (involved in PLT biosynthesis) was nearly abolished on wheat roots whereas it attained a relatively high level under in vitro conditions. In addition, we established the importance of the cereal genotype in the expression of phi A (involved in DAPG biosynthesis) in P. fluorescens CHAO.A second part of this work highlighted the systemic communication that exists between biocontrol pseudomonads and plants following attack by a root pathogen. A split-root system, allowing physical separation between the soil-borne oomycete pathogen Phytium ultimum and P. fluorescens CHAO on barley roots, was set up. Root infection by the pathogen triggered a modification of the concentration of certain phenolic root exudates in the healthy root part, resulting in an induction ofphlA expression in P. fluorescens CHAO.Amoebas are micro-predators of the rhizosphere that feed notably on bacteria. In the third part of the thesis, co-habitation of Acanthamoeba castellanii with P. fluorescens CHAO in culture media and on barley roots was found to significantly reduce bacterial expression of genes involved in the biosynthesis of DAPG, PLT, HCN and PRN. Interestingly, molecular cues present in supernatant of A. castelanii induced the expression of these antifungal genes. These findings illustrate the strategies of mutual recognition developed by amoeba and rhizosphere bacteria triggering responses that allow specific adaptations of their behaviour.The last section of the work focuses on indole-3-acetic acid (IAA), a phytohormone that stimulates the expression of phi A. A detailed molecular study revealed that the IAA-mediated effect on phi A is notably modulated by an efflux pump (FusPl) and its transcriptional regulator (MarRl). Remarkably, transcription of fusPl and marRl was strongly upregulated in presence of other phenolic compounds such as salicylate (a plant signal) and fusaric acid (a phytotoxin of the pathogenic fungus Fusarium).To sum up, this work illustrates the great complexity of interactions between eukaryotes and prokaryotes taking place in the rhizosphere niche. The mutual recognition and the establishment of a molecular cross-talk between the host plant and its associated beneficial bacteria are essential for the survival of the two partners and these interactions appear to be highly specific.

The prognostic value of semi-quantitative i-123 mibg scintigraphy at diagnosis in high risk neuroblastoma: validation of the siopen score method

Purpose: SIOPEN scoring of 123I mIBG imaging has been shown to predict response to induction chemotherapy and outcome at diagnosis in children with HRN.Method: Patterns of skeletal 123I mIBG uptake were assigned numerical scores (Mscore) ranging from 0 (no metastasis) to 72 (diffuse metastases) within 12 body areas as described previously. 271 anonymised, paired image data sets acquired at diagnosis and on completion of Rapid COJEC induction chemotherapy were reviewed, constituting a representative sample of 1602 children treated prospectively within the HR-NBL1/SIOPEN trial. Pre-and post-treatment Mscores were compared with bone marrow cytology (BM) and 3 year event free survival (EFS).Results: Results 224/271 patients showed skeletal MIBG-uptake at diagnosis and were evaluable forMIBG-response. Complete response (CR) on MIBG to Rapid COJEC induction was achieved by 66%, 34% and 15% of patients who had pre-treatment Mscores of <18 (n¼65, 29%), 18-44 (n¼95,42%) and Y ´ 45 (n¼64, 28.5%) respectively (chi squared test p<.0001). Mscore at diagnosis and on completion of Rapid COJEC correlated strongly with BM involvement (p<0.0001). The correlation of pre score with post scores and response was highly significant (p<0.001). Most importantly, the 3 year EFS in 47 children with Mscore 0 at diagnosis was 0.68 (A ` 0.07), by comparison with 0.42 (A` 0.06), 0.35 (A` 0.05) and 0.25 (A` 0.06) for patients in pre-treatment score groups <18, 18-44 and Y ´ 45, respectively (p<0.001). AnMscore threshold ofY ´ 45 at diagnosis was associated with significantly worse outcome by comparison with all other Mscore groups (p¼0.029). The 3 year EFS of 0.53 (A` 0.07) of patients in metastatic CR (mIBG and BM) after Rapid Cojec (33%) is clearly superior to patients not achieving metastatic CR (0.24 (A ` 0.04), p¼0.005).Conclusion: SIOPEN scoring of 123I mIBG imaging has been shown to predict response to induction chemotherapy and outcome at diagnosis in children with HRN.

Genetic association tests: a method for the joint analysis of family and case-control data.

With the trend in molecular epidemiology towards both genome-wide association studies and complex modelling, the need for large sample sizes to detect small effects and to allow for the estimation of many parameters within a model continues to increase. Unfortunately, most methods of association analysis have been restricted to either a family-based or a case-control design, resulting in the lack of synthesis of data from multiple studies. Transmission disequilibrium-type methods for detecting linkage disequilibrium from family data were developed as an effective way of preventing the detection of association due to population stratification. Because these methods condition on parental genotype, however, they have precluded the joint analysis of family and case-control data, although methods for case-control data may not protect against population stratification and do not allow for familial correlations. We present here an extension of a family-based association analysis method for continuous traits that will simultaneously test for, and if necessary control for, population stratification. We further extend this method to analyse binary traits (and therefore family and case-control data together) and accurately to estimate genetic effects in the population, even when using an ascertained family sample. Finally, we present the power of this binary extension for both family-only and joint family and case-control data, and demonstrate the accuracy of the association parameter and variance components in an ascertained family sample.

A specific HPLC method for determination of beta-blockers topically used in ophthalmological diseases.

A HPLC method is presented for the identification and quantification in plasma and urine of beta-adrenergic receptor antagonists (betaxolol, carteolol, metipranolol, and timolol) commonly prescribed in ophthalmology. An extraction method is described using pindolol as an internal standard. An RSIL 10 micron column was used. The lower detection limits of the beta-blockers were found to be 4-27 ng/ml. This method is simple, rapid and sensitive; moreover, it allows the determination of 8 other beta-blockers.

A new accelerometric method to assess the daily walking practice.

OBJECTIVE: To describe a method to obtain a profile of the duration and intensity (speed) of walking periods over 24 hours in women under free-living conditions. DESIGN: A new method based on accelerometry was designed for analyzing walking activity. In order to take into account inter-individual variability of acceleration, an individual calibration process was used. Different experiments were performed to highlight the variability of acceleration vs walking speed relationship, to analyze the speed prediction accuracy of the method, and to test the assessment of walking distance and duration over 24-h. SUBJECTS: Twenty-eight women were studied (mean+/-s.d.) age: 39.3+/-8.9 y; body mass: 79.7+/-11.1 kg; body height: 162.9+/-5.4 cm; and body mass index (BMI) 30.0+/-3.8 kg/m(2). RESULTS: Accelerometer output was significantly correlated with speed during treadmill walking (r=0.95, P<0.01), and short unconstrained walks (r=0.86, P<0.01), although with a large inter-individual variation of the regression parameters. By using individual calibration, it was possible to predict walking speed on a standard urban circuit (predicted vs measured r=0.93, P<0.01, s.e.e.=0.51 km/h). In the free-living experiment, women spent on average 79.9+/-36.0 (range: 31.7-168.2) min/day in displacement activities, from which discontinuous short walking activities represented about 2/3 and continuous ones 1/3. Total walking distance averaged 2.1+/-1.2 (range: 0.4-4.7) km/day. It was performed at an average speed of 5.0+/-0.5 (range: 4.1-6.0) km/h. CONCLUSION: An accelerometer measuring the anteroposterior acceleration of the body can estimate walking speed together with the pattern, intensity and duration of daily walking activity.

Dating human skeletal remains using a radiometric method: Biogenic versus diagenetic (90)Sr and (210)Pb in vertebrae.

In forensic science, there is a strong interest in determining the post-mortem interval (PMI) of human skeletal remains up to 50 years after death. Currently, there are no reliable methods to resolve PMI, the determination of which relies almost exclusively on the experience of the investigating expert. Here we measured (90)Sr and (210)Pb ((210)Po) incorporated into bones through a biogenic process as indicators of the time elapsed since death. We hypothesised that the activity of radionuclides incorporated into trabecular bone will more accurately match the activity in the environment and the food chain at the time of death than the activity in cortical bone because of a higher remodelling rate. We found that determining (90)Sr can yield reliable PMI estimates as long as a calibration curve exists for (90)Sr covering the studied area and the last 50 years. We also found that adding the activity of (210)Po, a proxy for naturally occurring (210)Pb incorporated through ingestion, to the (90)Sr dating increases the reliability of the PMI value. Our results also show that trabecular bone is subject to both (90)Sr and (210)Po diagenesis. Accordingly, we used a solubility profile method to determine the biogenic radionuclide only, and we are proposing a new method of bone decontamination to be used prior to (90)Sr and (210)Pb dating.

Isothermal microcalorimetry: a novel method for real-time determination of antifungal susceptibility of Aspergillus species.

We evaluated microcalorimetry for real-time susceptibility testing of Aspergillus spp. based on growth-related heat production. The minimal heat inhibitory concentration (MHIC) for A. fumigatus ATCC 204305 was 1 mg/L for amphotericin B, 0.25 mg/L for voriconazole, 0.06 mg/L for posaconazole, 0.125 mg/L for caspofungin and 0.03 mg/L for anidulafungin. Agreement within two 2-fold dilutions between MHIC (determined by microcalorimetry) and MIC or MEC (determined by CLSI M38A) was 90% for amphotericin B, 100% for voriconazole, 90% for posaconazole and 70% for caspofungin. This proof-of-concept study demonstrated the potential of isothermal microcalorimetry for growth evaluation of Aspergillus spp. and real-time antifungal susceptibility testing.

Method for performing cerebral perfusion-weighted MRI in neonates

Cerebral perfusion-weighted imaging (PWI) in neonates is known to be technically difficult and there are very few published studies on its use in preterm infants. In this paper, we describe one convenient method to perform PWI in neonates, a method only recently used in newborns. A device was used to manually inject gadolinium contrast material intravenously in an easy, quick and reproducible way. We studied 28 newborn infants, with various gestational ages and weights, including both normal infants and those suffering from different brain pathologies. A signal intensity-time curve was obtained for each infant, allowing us to build perfusion maps. This technique offered a fast and easy method to manually inject a bolus gadolinium contrast material, which is essential in performing PWI in neonates. Cerebral PWI is technically feasible and reproducible in neonates of various gestational age and with various pathologies.