The central role of Fyn kinase in axon-glial signalling and translation of myelin proteins

During central nervous system myelination, oligodendrocytes extend membrane processes towards an axonal contact site which is followed by ensheathment resulting in a compacted multilamellar myelin sheath. The formation of this axon-glial unit facilitates rapid saltatory propagation of action potentials along the axon and requires the synthesis and transport of copious amounts of lipids and proteins to the axon-glial contact site. Fyn is a member of the Src family of non receptor tyrosine kinases and inserted into the inner leaflet of the oligodendrocyte membrane by acylation. Fyn activity plays a pivotal role in the maturation of oligodendrocytes and the myelination process. It was suggested previously that Fyn kinase can be stimulated by binding of a neuronal ligand to oligodendroglial F3/ contactin, a glycosyl-phosphatidyl-inositol anchored immunoglobulin superfamily (IgSF) member protein. It could be shown here, that neuronal cell adhesion molecule L1 binds to oligodendrocytes in an F3-dependent manner and activates glial Fyn. In the search for downstream participants of this novel axon-glial signalling cascade, heterogeneous nuclear ribonucleoprotein (hnRNP) A2 was identified as a novel Fyn target in oligodendrocytes. HnRNP A2 was known to be involved in the localisation of translationally repressed myelin basic protein (MBP) mRNA by binding to a cis acting A2 response element (A2RE) present in the 3’ untranslated region. Transport of MBP mRNAs occurs in RNA-protein complexes termed RNA granules and translational repression during transport is achieved by hnRNP A2-mediated recruitment of hnRNP E1 to the granules. It could be shown here, that Fyn activity leads to enhanced translation of reporter mRNA containing a part of the 3’ UTR of MBP including the A2RE. Furthermore hnRNP E1 seems to dissociate from RNA granules in response to Fyn activity and L1 binding. These findings suggest a novel form of neuron- glial communication: Axonal L1 binding to oligodendroglial F3 activates Fyn kinase. Activated Fyn phosphorylates hnRNP A2 leading to removal of hnRNP E1 from RNA granules initiating the translation of MBP mRNA. MBP is the second most abundant myelin protein and mice lacking this protein show a severe hypomyelination phenotype. Moreover, the brains of Fyn knock out mice contain reduced MBP levels and are hypomyelinated. Hence, L1-mediated MBP synthesis via Fyn as a central molecule could be part of a regulatory mechanism required for myelinogenesis in the central nervous system.

Sustainable improvement of water networks : to achieve best decisions for rehabilitation plans using advanced GIS and statistical techniques

Many of developing countries are facing crisis in water management due to increasing of population, water scarcity, water contaminations and effects of world economic crisis. Water distribution systems in developing countries are facing many challenges of efficient repair and rehabilitation since the information of water network is very limited, which makes the rehabilitation assessment plans very difficult. Sufficient information with high technology in developed countries makes the assessment for rehabilitation easy. Developing countries have many difficulties to assess the water network causing system failure, deterioration of mains and bad water quality in the network due to pipe corrosion and deterioration. The limited information brought into focus the urgent need to develop economical assessment for rehabilitation of water distribution systems adapted to water utilities. Gaza Strip is subject to a first case study, suffering from severe shortage in the water supply and environmental problems and contamination of underground water resources. This research focuses on improvement of water supply network to reduce the water losses in water network based on limited database using techniques of ArcGIS and commercial water network software (WaterCAD). A new approach for rehabilitation water pipes has been presented in Gaza city case study. Integrated rehabilitation assessment model has been developed for rehabilitation water pipes including three components; hydraulic assessment model, Physical assessment model and Structural assessment model. WaterCAD model has been developed with integrated in ArcGIS to produce the hydraulic assessment model for water network. The model have been designed based on pipe condition assessment with 100 score points as a maximum points for pipe condition. As results from this model, we can indicate that 40% of water pipeline have score points less than 50 points and about 10% of total pipes length have less than 30 score points. By using this model, the rehabilitation plans for each region in Gaza city can be achieved based on available budget and condition of pipes. The second case study is Kuala Lumpur Case from semi-developed countries, which has been used to develop an approach to improve the water network under crucial conditions using, advanced statistical and GIS techniques. Kuala Lumpur (KL) has water losses about 40% and high failure rate, which make severe problem. This case can represent cases in South Asia countries. Kuala Lumpur faced big challenges to reduce the water losses in water network during last 5 years. One of these challenges is high deterioration of asbestos cement (AC) pipes. They need to replace more than 6500 km of AC pipes, which need a huge budget to be achieved. Asbestos cement is subject to deterioration due to various chemical processes that either leach out the cement material or penetrate the concrete to form products that weaken the cement matrix. This case presents an approach for geo-statistical model for modelling pipe failures in a water distribution network. Database of Syabas Company (Kuala Lumpur water company) has been used in developing the model. The statistical models have been calibrated, verified and used to predict failures for both networks and individual pipes. The mathematical formulation developed for failure frequency in Kuala Lumpur was based on different pipeline characteristics, reflecting several factors such as pipe diameter, length, pressure and failure history. Generalized linear model have been applied to predict pipe failures based on District Meter Zone (DMZ) and individual pipe levels. Based on Kuala Lumpur case study, several outputs and implications have been achieved. Correlations between spatial and temporal intervals of pipe failures also have been done using ArcGIS software. Water Pipe Assessment Model (WPAM) has been developed using the analysis of historical pipe failure in Kuala Lumpur which prioritizing the pipe rehabilitation candidates based on ranking system. Frankfurt Water Network in Germany is the third main case study. This case makes an overview for Survival analysis and neural network methods used in water network. Rehabilitation strategies of water pipes have been developed for Frankfurt water network in cooperation with Mainova (Frankfurt Water Company). This thesis also presents a methodology of technical condition assessment of plastic pipes based on simple analysis. This thesis aims to make contribution to improve the prediction of pipe failures in water networks using Geographic Information System (GIS) and Decision Support System (DSS). The output from the technical condition assessment model can be used to estimate future budget needs for rehabilitation and to define pipes with high priority for replacement based on poor condition. rn