Mathematical approach to modeling of the treatment of suppurative processes

Consideration of an inflammation focus as an "open system" provided analogy between microbiological processes in inflamed wounds and in systems of continuous cultivation of microorganisms. Mathematical modeling of such systems is widely used. Some of the methods for the mathematical modeling were applied to chemoprophylaxis and chemotherapy of postoperative wounds. In modeling continuous cultivation of microorganisms it is usually necessary to determine optimal conditions for the maximum yield of their biomass. In modeling of wound treatment the aim was to determine the process parameters providing the minimum biomass. The described simple models showed that there could be certain optimal flow rate of the washing fluid in the aspiration-washing procedure for wound treatment at which the drug was not completely washed out while the growth rate of the microbial population was minimal. Such mathematical models were shown valuable in optimizing the use of bactericidal and bacteriostatic antibiotics.     

Structural plasticity: rewiring the brain

Experience may shape brain structure. Recent studies in which brain connections were traced in monkeys who had learnt a new skill or recovered from an injury suggest that extensive rewiring is possible, even in the adult brain.     

Opinion: an integrated approach to classifying neuronal phenotypes

Characterizing the functional phenotypes of neurons is essential for understanding how genotypes can be related to the neural basis of behaviour. Traditional classifications of neurons by single features (such as morphology or firing behaviour) are increasingly inadequate for reflecting functional phenotypes, as they do not integrate functions across different neuronal types. Here, we describe a set of rules for identifying and predicting functional phenotypes that combine morphology, intrinsic ion channel species and their distributions in dendrites, and functional properties. This more comprehensive neuronal classification should be an improvement on traditional classifications for relating genotype to functional phenotype.     

CRAC: an integrated approach to the analysis of RNA-seq reads

A large number of RNA-sequencing studies set out to predict mutations, splice junctions or fusion RNAs. We propose a method, CRAC, that integrates genomic locations and local coverage to enable such predictions to be made directly from RNA-seq read analysis. A k-mer profiling approach detects candidate mutations, indels and splice or chimeric junctions in each single read. CRAC increases precision compared with existing tools, reaching 99:5% for splice junctions, without losing sensitivity. Importantly, CRAC predictions improve with read length. In cancer libraries, CRAC recovered 74% of validated fusion RNAs and predicted novel recurrent chimeric junctions. CRAC is available at http://crac.gforge.inria.fr.     

The magic-bead concept: an integrated approach to nitrogen removal with co-immobilized micro-organisms

This paper describes both qualitative and quantitative aspects of simultaneous autotrophic nitrification and heterotrophic denitrification by, respectively, the nitrifierNitrisomonas europaea and either of the denitrifiersPseudomonas denitrificans orParacoccus denitrificans co-immobilized in double-layer gel beads. The system is based on the establishment of well-defined oxic and anoxic zones within the cell supports and on physical separation of the nitrifying and denitrifying populations. Nitrification and denitrification rates were obtained from measured bulk concentrations and head-space analysis. The latter analyses showed that ammonia was primarily converted into molecular nitrogen. Nitrous oxide was not detected. High nitrogen removal rates (up to 5.1 mmol N m^–3 gel s^–1) were achieved in continuous reactors under aerobic conditions. The overall rate of nitrogen removal was controlled by the nitrifying step. The approach followed is, in principle, also suitable to the coupling of other oxidative and reductive bioprocesses having complementary metabolic routes. Two-stage bioconversion processes can be thus conducted as if single-staged, which results in more compact reactor systems.     

An integrated approach to Phoma systematics

Physiological and morphological characters were recorded from 55 strains of 17 Phoma taxa and one Pyrenochaeta. The results were subjected to numerical analysis and UPGMA dendrograms produced. The full results were compared with TLC profiles of secondary metabolites. Seven distinct clusters were recovered from dendrograms based on full and partial character sets and the grouping of strains within each cluster discussed. The new combination Phoma sambuci-nigrae (Sacc.) Monte, Bridge & Sutton is proposed for P. herbarum f. sambuci-nigrae Sacc.     

Understanding the unfavorable result after otoplasty: an integrated approach to correction

The correction of an unfavorable outcome after otoplasty requires a thorough understanding of the anatomy of prominent ear and recognition of the spectrum of secondary deformities and their origin. The goal of this article is to describe the causes of postotoplasty deformity, including both undercorrection and overcorrection. The latter presents the more complicated reconstructive problem, as both skin shortage and permanent cartilage disruption need to be addressed. The authors propose an algorithm for revision otoplasty based on clinical findings and patient concerns. Finally, a case with overcorrection secondary to both skin deficiency and cartilage disruption is illustrated showing the sequential steps needed for optimal correction.     

RNAPack: an integrated NMR approach to RNA structure determination

Over the last decade, a vast number of useful nuclear magnetic resonance (NMR) experiments have been developed and successfully employed to determine the structure and dynamics of RNA oligonucleotides. Despite this progress, high-resolution RNA structure determination by NMR spectroscopy still remains a lengthy process and requires programming and extensive calibrations to perform NMR experiments successfully. To accelerate RNA structure determination by NMR spectroscopy, we have designed and programmed a package of RNA NMR experiments, called RNAPack. The user-friendly package contains a set of semiautomated single, double, and triple resonance NMR experiments, which are fully optimized for high-resolution RNA solution structure determination on Varian NMR spectrometers. RNAPack provides an autocalibration feature that allows rapid calibration of all NMR experiments in a single step and thereby speeds up the NMR data collection and eliminates user errors. In our laboratory, we have successfully employed this technology to solve RNA solution structures of domains of the internal ribosome entry site of the genomic hepatitis C viral RNA in less than 3 months. RNAPack therefore makes NMR spectroscopy an attractive and rapid structural tool and allows integration of atomic resolution structural information into biochemical studies of large RNA systems.     

The Lord Howe Island Biodiversity Management Plan: An integrated approach to recovery planning

Summary   The Lord Howe Island Biodiversity Management Plan targeted significant species for the Lord Howe Island Group and formed the recovery plan for 30 threatened species and one endangered ecological community. The plan addressed threats and management actions relevant to the Lord Howe Island Group's overall biodiversity, with a particular focus on rare and significant species and communities. The Biodiversity Management Plan approach enabled holistic and cost-effective planning for the management of biodiversity on Lord Howe Island. We describe the approach, as applied to Lord Howe Island, including the utilization of expert and community knowledge, species research data and GIS innovations.     

An integrated approach to the prediction of domain-domain interactions

Background  

The development of high-throughput technologies has produced several large scale protein interaction data sets for multiple species, and significant efforts have been made to analyze the data sets in order to understand protein activities. Considering that the basic units of protein interactions are domain interactions, it is crucial to understand protein interactions at the level of the domains. The availability of many diverse biological data sets provides an opportunity to discover the underlying domain interactions within protein interactions through an integration of these biological data sets.