Anomalous photon diffusion in atomic vapors

The multiple scattering of photons in a hot, resonant, atomic vapor is investigated and shown to exhibit a L\'evy Flight-like behavior. Monte Carlo simulations give insights into the frequency redistribution process that originates the long steps characteristic of this class of random walk phenomena

Mitochondrial dysfunction and pathophysiology of Charcot-Marie-Tooth disease involving GDAP1 mutations

Charcot-Marie-Tooth (CMT) disease represents a large group of clinically and genetically heterogeneous disorders leading to inherited peripheral neuropathies affecting motor and sensory neurons. Mutations in the ganglioside-induced differentiation-associated-protein 1 gene (GDAP1), which encodes a protein anchored to the mitochondrial outer membrane, are usually associated with the recessive forms of CMT disease and only rarely with the autosomal dominant forms. The function of GDAP1 is not fully understood but it plays a role in mitochondrial dynamics by promoting fission events. We present an overview of GDAP1 and the corresponding protein together with the complete spectrum of the 41 gene mutations described so far. We examine the relationship between the genotype and the phenotype in the various forms of CMT disease related to GDAP1 mutations, and discuss the pathophysiological hypotheses that link peripheral neuropathies to mitochondrial dysfunction and GDAP1 mutations. The meta-analysis of the literature reveals the great heterogeneity of phenotypic presentations and shows that the recessive forms of CMT disease, i.e. CMT4A and AR-CMT2, are far more severe than the dominant form, i.e. CMT2K. Among patients with recessive forms of the disease, those carrying truncating mutations are more seriously affected, often becoming wheelchair-bound before the end of the third decade. At the neuronal level, GDAP1 mutations may lead to perturbed axonal transport and impaired energy production as in other neurodegenerative diseases due to mutations in genes involved in mitochondrial dynamics

Data and Image Transfer Using Mobile Phones to Strengthen Microscopy-Based Diagnostic Services in Low and Middle Income Country Laboratories

Background: The emerging market of mobile phone technology and its use in the health sector is rapidly expanding and connecting even the most remote areas of world. Distributing diagnostic images over the mobile network for knowledge sharing, feedback or quality control is a logical innovation. Objective: To determine the feasibility of using mobile phones for capturing microscopy images and transferring these to a central database for assessment, feedback and educational purposes. Methods: A feasibility study was carried out in Uganda. Images of microscopy samples were taken using a prototype connector that could fix a variety of mobile phones to a microscope. An Information Technology (IT) platform was set up for data transfer from a mobile phone to a website, including feedback by text messaging to the end user. Results: Clear images were captured using mobile phone cameras of 2 megapixels (MP) up to 5MP. Images were sent by mobile Internet to a website where they were visualized and feedback could be provided to the sender by means of text message. Conclusion: The process of capturing microscopy images on mobile phones, relaying them to a central review website and feeding back to the sender is feasible and of potential benefit in resource poor settings. Even though the system needs furthe

Development and application of a fragment-based docking approach to model protein-ssRNA interactions

Les interactions ARN-protéine interviennent dans de nombreux processus cellulaires fondamentaux. L'obtention de détails à l'échelle atomique de ces interactions nous éclaire sur leurs fonctions, mais permet également d'envisager la conception rationnelle de ligands pouvant les moduler. Lorsque les deux techniques majeures que sont la RMN et la cristallographie aux rayons X ne permettent pas d'obtenir une structure 3D entre les deux partenaires, des approches de docking peuvent être utilisées pour apporter des modèles. L'application de ces approches aux complexes ARN-protéine se heurtent cependant à une difficulté. Ces complexes résultent en effet souvent de la liaison spécifique d'une courte séquence d'ARN simple-brin (ARNsb) à sa protéine cible. Hors, la flexibilité inhérente aux segments simples-brins impose dans une approche classique de docking d'explorer un large ensemble de leur espace conformationnel. L'objectif du projet est de contourner cette difficulté par le développement d'une approche de docking dite "par fragments". Ce dernier s'est fait à partir de domaines de liaison à l'ARN très représentés dans le monde du vivant. Les résultats ont montré une excellente capacité prédictive de l'approche à partir de la séquence de l'ARN. Ils ont de plus montré un potentiel intéressant dans la prédiction de séquences d'ARN simple-brin préférentiellement reconnues par des domaines de liaisons à l'ARN.RNA-protein interactions mediate numerous fundamental cellular processes. Atomic scale details of these interactions shed light on their functions but can also allow the rational design of ligands that could modulate them. NMR and X-ray crystallography are the 2 main techniques used to resolve 3D highresolution structures between two interacting molecules. Docking approaches can also be utilized to give models as an alternative. However, the application of these approaches to RNA-protein complexes is hampered by an issue. RNA-protein interactions often relies on the specific recognition of a short singlestranded RNA (ssRNA) sequence by the protein. The inherent flexibility of the ssRNA segment would impose, in a classical docking approach, to explore their resulting large conformation space which is not computationally reliable. The goal of this project is to overcome this barrier by using a fragment-based docking approach. This approach developed from some of the most represented RNA-binding domains showed excellent results in the prediction of the ssRNA-protein binding mode from the RNA sequence and also a great potential to predict preferential RNA binding sequences

Développement et application d’une approche de docking par fragments pour modéliser les interactions entre protéines et ARN simple-brin

RNA-protein interactions mediate numerous fundamental cellular processes. Atomic scale details of these interactions shed light on their functions but can also allow the rational design of ligands that could modulate them. NMR and X-ray crystallography are the 2 main techniques used to resolve 3D highresolution structures between two interacting molecules. Docking approaches can also be utilized to give models as an alternative. However, the application of these approaches to RNA-protein complexes is hampered by an issue. RNA-protein interactions often relies on the specific recognition of a short singlestranded RNA (ssRNA) sequence by the protein. The inherent flexibility of the ssRNA segment would impose, in a classical docking approach, to explore their resulting large conformation space which is not computationally reliable. The goal of this project is to overcome this barrier by using a fragment-based docking approach. This approach developed from some of the most represented RNA-binding domains showed excellent results in the prediction of the ssRNA-protein binding mode from the RNA sequence and also a great potential to predict preferential RNA binding sequences.Les interactions ARN-protéine interviennent dans de nombreux processus cellulaires fondamentaux. L'obtention de détails à l'échelle atomique de ces interactions nous éclaire sur leurs fonctions, mais permet également d'envisager la conception rationnelle de ligands pouvant les moduler. Lorsque les deux techniques majeures que sont la RMN et la cristallographie aux rayons X ne permettent pas d'obtenir une structure 3D entre les deux partenaires, des approches de docking peuvent être utilisées pour apporter des modèles. L'application de ces approches aux complexes ARN-protéine se heurtent cependant à une difficulté. Ces complexes résultent en effet souvent de la liaison spécifique d'une courte séquence d'ARN simple-brin (ARNsb) à sa protéine cible. Hors, la flexibilité inhérente aux segments simples-brins impose dans une approche classique de docking d'explorer un large ensemble de leur espace conformationnel. L'objectif du projet est de contourner cette difficulté par le développement d'une approche de docking dite "par fragments". Ce dernier s'est fait à partir de domaines de liaison à l'ARN très représentés dans le monde du vivant. Les résultats ont montré une excellente capacité prédictive de l'approche à partir de la séquence de l'ARN. Ils ont de plus montré un potentiel intéressant dans la prédiction de séquences d'ARN simple-brin préférentiellement reconnues par des domaines de liaisons à l'ARN

Lévy flights of photons in hot atomic vapours

This final version is identical to the one published in Nature PhysicsInternational audienceProperties of random and fluctuating systems are often studied through the use of Gaussian distributions. However, in a number of situations, rare events have drastic consequences, which can not be explained by Gaussian statistics. Considerable efforts have thus been devoted to the study of non Gaussian fluctuations such as Lévy statistics, generalizing the standard description of random walks. Unfortunately only macroscopic signatures, obtained by averaging over many random steps, are usually observed in physical systems. We present experimental results investigating the elementary process of anomalous diffusion of photons in hot atomic vapours. We measure the step size distribution of the random walk and show that it follows a power law characteristic of Lévy flights

MCSS-based Predictions of Binding Mode and Selectivity of Nucleotide Ligands

International audienceComputational fragment-based approaches are widely used in drug design and discovery. One of their limitations is the lack of performance of docking methods, mainly the scoring functions. With the emergence of fragment-based approaches for single-stranded RNA ligands, we analyze the performance in docking and screening powers of an MCSS-based approach. The performance is evaluated on a benchmark of protein-nucleotide complexes where the four RNA residues are used as fragments. The screening power can be considered the major limiting factor for the fragment-based modeling or design of sequence-selective oligonucleotides. We show that the MCSS sampling is efficient even for such large and flexible fragments. Hybrid solvent models based on some partial explicit representation improve both the docking and screening powers. Clustering of the {\it n} best-ranked poses can also contribute to a lesser extent to better performance. A detailed analysis of molecular features suggests various ways to optimize the performance further

SURFMAP: A Software for Mapping in Two Dimensions Protein Surface Features

International audienceMolecular cartography using two-dimensional (2D) representation of protein surfaces has been shown to be very promising for protein surface analysis. Here, we present SURFMAP, a free standalone and easy-to-use software that enables the fast and automated 2D projection of either predefined features of protein surface (i.e., electrostatic potential, hydrophobicity, stickiness, and surface relief) or any descriptor encoded in the temperature factor column of a PDB file. SURFMAP proposes three different “equal-area” projections that have the advantage of preserving the area measures. It provides the user with (i) 2D maps that enable the easy and visual analysis of protein surface features of interest and (ii) maps in a text file format allowing the fast and straightforward quantitative comparison of 2D maps of homologous proteins