Long-term potentiation and neural network activity in the neonatal rat cerebral cortex in vivo

Long-term potentiation in the neonatal rat rnbarrel cortex in vivo rnLong-term potentiation (LTP) is important for the activity-dependent formation of early cortical circuits. In the neonatal rodent barrel cortex LTP has been so far only studied in vitro. I combined voltage-sensitive dye imaging with extracellular multi-electrode recordings to study whisker stimulation-induced LTP for both the slope of field potential and the number of multi-unit activity in the whisker-to-barrel cortex pathway of the neonatal rat barrel cortex in vivo. Single whisker stimulation at 2 Hz for 10 min induced an age-dependent expression of LTP in postnatal day (P) 0 to P14 rats with the strongest expression of LTP at P3-P5. The magnitude of LTP was largest in the stimulated barrel-related column, smaller in the surrounding septal region and no LTP could be observed in the neighboring barrel. Current source density analyses revealed an LTP-associated increase of synaptic current sinks in layer IV / lower layer II/III at P3-P5 and in the cortical plate / upper layer V at P0-P1. This study demonstrates for the first time an age-dependent and spatially confined LTP in the barrel cortex of the newborn rat in vivo. These activity-dependent modifications during the critical period may play an important role in the development and refinement of the topographic map in the barrel cortex. (An et al., 2012)rnEarly motor activity triggered by gamma and spindle bursts in neonatal rat motor cortexrnSelf-generated neuronal activity generated in subcortical regions drives early spontaneous motor activity, which is a hallmark of the developing sensorimotor system. However, the neuronal activity patterns and functions of neonatal primary motor cortex (M1) in the early movements are still unknown. I combined voltage-sensitive dye imaging with simultaneous extracellular multi-electrode recordings in the neonatal rat S1 and M1 in vivo. At P3-P5, gamma and spindle bursts observed in M1 could trigger early paw movements. Furthermore, the paw movements could be also elicited by the focal electrical stimulation of M1 at layer V. Local inactivation of M1 could significantly attenuate paw movements, suggesting that the neonatal M1 operates in motor mode. In contrast, the neonatal M1 can also operate in sensory mode. Early spontaneous movements and sensory stimulations of paw trigger gamma and spindle bursts in M1. Blockade of peripheral sensory input from the paw completely abolished sensory evoked gamma and spindle bursts. Moreover, both sensory evoked and spontaneously occurring gamma and spindle bursts mediated interactions between S1 and M1. Accordingly, local inactivation of the S1 profoundly reduced paw stimulation-induced and spontaneously occurring gamma and spindle bursts in M1, indicating that S1 plays a critical role in generation of the activity patterns in M1. This study proposes that both self-generated and sensory evoked gamma and spindle bursts in M1 may contribute to the refinement and maturation of corticospinal and sensorimotor networks required for sensorimotor coordination.rn

Numerical coupling of thermal-electric network models and energy-transport equations including optoelectronic semiconductor devices

In this work the numerical coupling of thermal and electric network models with model equations for optoelectronic semiconductor devices is presented. Modified nodal analysis (MNA) is applied to model electric networks. Thermal effects are modeled by an accompanying thermal network. Semiconductor devices are modeled by the energy-transport model, that allows for thermal effects. The energy-transport model is expandend to a model for optoelectronic semiconductor devices. The temperature of the crystal lattice of the semiconductor devices is modeled by the heat flow eqaution. The corresponding heat source term is derived under thermodynamical and phenomenological considerations of energy fluxes. The energy-transport model is coupled directly into the network equations and the heat flow equation for the lattice temperature is coupled directly into the accompanying thermal network. The coupled thermal-electric network-device model results in a system of partial differential-algebraic equations (PDAE). Numerical examples are presented for the coupling of network- and one-dimensional semiconductor equations. Hybridized mixed finite elements are applied for the space discretization of the semiconductor equations. Backward difference formluas are applied for time discretization. Thus, positivity of charge carrier densities and continuity of the current density is guaranteed even for the coupled model.

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

RAB3GAP1 und RAB3GAP2 (RAB3 GTPase-activating Protein 1/2) beeinflussen die Autophagie in C. elegans und humanen Zellen

Die Proteinhomöostase wird in der Zelle von drei Stoffwechselwegen reguliert: den molekularen Chaperonen, dem Ubiquitin-Proteasom-System und dem autophagosomalen Abbauweg. Die (Makro)Autophagie verpackt und transportiert zytosolische Komponenten in Autophagosomen zu den Lysosomen, wo sie abgebaut werden. Eine Störung dieses Abbauwegs wirkt auf die Proteostase.rnIn dieser Dissertation wurde C. elegans als Modellorganismus zur Erforschung von Proteinstabilität genutzt. In einer RNAi-vermittelten Proteostase-Analyse von Chromosom I und ausgewählter zusätzlicher Gene wurde ein Wurmstamm, der ein Luc::GFP-Konstrukt im Muskel exprimiert, genutzt. Dieses Reporterprotein aggregiert unter Hitzestressbedingungen und diese Aggregation kann durch Modulatoren der Proteostase beeinflusst werden. Dabei wurden mögliche neue Faktoren der Proteinhomöostase entdeckt. Durch weitere Experimente bei denen die Aggregation von PolyQ35::YFP im AM140-System, der Paralyse-Phänotyp und die Akkumulation Thioflavin S-gefärbter Aggregate von Aβ42 im CL2006-Wurmstamm und die Effekte auf die Autophagie mittels eines GFP::LGG1-Konstrukt analysiert wurden, konnten rbg-1 und rbg-2 als neue Modulatoren der Proteinhomöostase, insbesondere der Autophagie, identifiziert werden.rnIm Säuger bilden beide Orthologe dieser Gene, RAB3GAP1 und RAB3GAP2 den heterodimeren RAB3GAP-Komplex, der bisher nur bekannt war für die Stimulation der Umwandlung der GTP-gebundenen aktiven Form zur GDP-gebundenen inaktiven Form der RAB GTPase RAB3. In Immunoblot-Analysen und mikroskopischen Darstellungen im Säugersystem konnte gezeigt werden, dass die Effekte auf die Proteostase über den autophagosomalen Abbauweg wirken. RAB3GAP1/2 wirken als positive Stimulatoren, wenn die Lipidierung von LC3-I und der autophagische Flux von LC3-II und p62/SQSTM1 betrachtet werden. Diese Effekte werden aber nicht über die RAB GTPase RAB3 vermittelt. Die Proteine FEZ1 und FEZ2 haben einen antagonistischen Effekt auf die Autophagie und wenn alle vier Komponenten RAB3GAP1, RAB3GAP2, FEZ1 und FEZ2 zusammen herunter- oder hochreguliert werden, heben sich diese Effekte auf. In Co-Immunopräzipitationen und proteomischen Analysen konnte keine direkte Interaktion zwischen dem RAB3GAP-Komplex und FEZ1/2 oder zu anderen Autophagie-Genen nachgewiesen werden.rnHier konnte der RAB3GAP-Komplex funktionell mit Proteostase und Autophagie in C. elegans und Säugerzellen assoziiert werden. Dieser Komplex zeigt Einflüsse auf die autophagosomale Biogenese indem sie die Proteostase und die Bildung von (prä)autophagosomalen Strukturen in C. elegans und die Lipidierung von LC3 und damit den autophagischen Flux der Autophagiesubstrate LC3-II und p62/SQSTM1 in Säugerzellen beeinflusst. Darüber hinaus wirkt RAB3GAP der komplexen Autophagie-Unterdrückung durch FEZ1 und FEZ2 entgegen. Somit konnte gezeigt werden, dass RAB3GAP als neuartiger Faktor auf die autophagosomale Biogenese und somit auf die Proteostase wirkt.rn

Neural network activity in the neonatal acute slice, slice culture and cell culture

Information processing and storage in the brain may be presented by the oscillations and cell assemblies. Here we address the question of how individual neurons associate together to assemble neural networks and present spontaneous electrical activity. Therefore, we dissected the neonatal brain at three different levels: acute 1-mm thick brain slice, cultured organotypic 350-µm thick brain slice and dissociated neuronal cultures. The spatio-temporal properties of neural activity were investigated by using a 60-channel Micro-electrode arrays (MEA), and the cell assemblies were studied by using a template-matching method. We find local on-propagating as well as large- scale propagating spontaneous oscillatory activity in acute slices, spontaneous network activity characterized by synchronized burst discharges in organotypic cultured slices, and autonomous bursting behaviour in dissociated neuronal cultures. Furthermore, repetitive spike patterns emerge after one week of dissociated neuronal culture and dramatically increase their numbers as well as their complexity and occurrence in the second week. Our data indicate that neurons can self-organize themselves, assembly to a neural network, present spontaneous oscillations, and emerge spatio-temporal activation patterns. The spontaneous oscillations and repetitive spike patterns may serve fundamental functions for information processing and storage in the brain.