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Acetylcholine (ACh) mediates transmission at vertebrate neuromuscular junctions and many other synapses. The postsynaptic ACh receptors at neuromuscular junctions are of the nicotinic subtype (nAChRs). They are among the best studied receptor channels and often serve as models or receptor prototypes. Despite a wealth of information on muscle type nAChRs so far little is known about species specific functional differences. In this work, mouse and human adult muscle type nAChRs are investigated.
Cell attached recordings in the HEK293T heterologous expression system provided evidence that the ACh affinity of recombinant mouse and human adult muscle type nAChRs are different. To clarify this, I compared these receptors in outside-out patches employing a system for fast agonist application. Thus, the individual membrane patches with receptors can be exposed to various ligand concentrations. In response to 10 and 30 µM ACh normalized peak currents (î) were significantly larger and current rise-time (tr) shorter in human than in mouse receptors. Analyzing dose-response curves of î and tr and fitting them with a two-step equivalent binding-site kinetic mechanism revealed a two-fold higher ACh association rate constant in human compared to mouse receptors. Furthermore, human nAChRs were blocked faster in outside-out patches by superfusion of 300 nM α-Bungarotoxin (α-Bgtx) than mouse nAChRs. Finally, human nAChRs in outside-out patches showed higher affinity at 3 µM ACh than chimeric receptors consisting of mouse α- and human β-, γ- and ε-subunits. The higher affinity of human than mouse receptors for ACh and α-Bgtx is thus at least in part due to sequence difference in their α-subunits.
In recent years, numerous renewable energy cities were established worldwide, piloting different pathways to transition to clean energy. With the ability to address local needs more precisely in their unique geographic, social and economic contexts, cities play a vital role in implementing overall climate mitigation goals on the local level. In China, many renewable energy cities have emerged as well. However, official documents suggest that Chinese government authorities establish such renewable energy cities strategically, which leads to the assumption that the impulse to become renewable is different from other countries, where bottom-up initiatives are more common. Hence, this thesis explores answer to the question why and how the Chinese government promotes the energy transition of Chinese cities and regions. To explore the dynamics of local energy transition projects, this thesis adopts two frameworks from the field of sustainability transitions, the multi-level perspective and strategic niche management, and applies them to seven European and two Chinese case studies. The European sample includes the cities Graz, Güssing, Freiburg, and Helsinki as well as the communities Feldheim, Jühnde and Murau. The Chinese sample consists of the bottom-up initiative Shaanxi Sunflower Project and the demonstration project Tongli New Energy Town. A comparative analysis evaluates in how far the cases correspond to the multi-level perspective or strategic niche management. The comparison of the case studies reveals that the development of renewable energy cities in China goes beyond a top-down vs. bottom-up logic. In the Chinese context, strategic niche management should be understood as experimentation under hierarchy, which serves at pretesting different approaches before rolling them out nationwide. In addition, the analysis shows that both the multi-level perspective and strategic niche management have their advantages and disadvantages for niche development. Niches following the logic of the multi-level perspective may result in higher stakeholder acceptance, whereas strategic niche management can in turn accelerate niche development. However, since natural niche development cannot be steered intentionally, decision-makers who intend to induce local renewable energy projects have no other option but to resort to strategic niche management. To increase stakeholder acceptance and thus to improve the project outcome, decision-makers are advised to accommodate sufficient room for stakeholder participation in the project design.
A 1,8-naphthyridine diphosphine (NDP) reacts with boron-containing Lewis acids to generate complexes featuring a number of different naphthyridine bonding modes. When exposed to diborane B\(_{2}\)Br\(_{4}\), NDP underwent self-deprotonation to afford [NDP-B\(_{2}\)Br\(_{3}\)]Br, an unsymmetrical diborane comprised of four fused rings. The reaction of two equivalents of monoborane BBr\(_{3}\) and NDP in a non-polar solvent provided the simple phosphine-borane adduct [NDP(BBr\(_{3}\))\(_{2}\)], which then underwent intramolecular halide abstraction to furnish the salt [NDP-BBr\(_{2}\)][BBr\(_{4}\)], featuring a different coordination mode from that of [NDP-B\(_{2}\)Br\(_{3}\)]Br. Direct deprotonation of NDP by KHMDS or PhCH2K generates mono- and dipotassium reagents, respectively. The monopotassium reagent reacts with one or half an equivalent of B\(_{2}\)(NMe\(_{2}\))\(_{2}\)Cl\(_{2}\) to afford NDP-based diboranes with three or four amino substituents.
Cell culture and protein target-based compound screening strategies, though broadly utilized in selecting candidate compounds, often fail to eliminate candidate compounds with non-target effects and/or safety concerns until late in the drug developmental process. Phenotype screening using intact research animals is attractive because it can help identify small molecule candidate compounds that have a high probability of proceeding to clinical use. Most FDA approved, first-in-class small molecules were identified from phenotypic screening. However, phenotypic screening using rodent models is labor intensive, low-throughput, and very expensive. As a novel alternative for small molecule screening, we have been developing gene expression disease profiles, termed the Transcriptional Disease Signature (TDS), as readout of small molecule screens for therapeutic molecules. In this concept, compounds that can reverse, or otherwise affect known disease-associated gene expression patterns in whole animals may be rapidly identified for more detailed downstream direct testing of their efficacy and mode of action. To establish proof of concept for this screening strategy, we employed a transgenic strain of a small aquarium fish, medaka (Oryzias latipes), that overexpresses the malignant melanoma driver gene xmrk, a mutant egfr gene, that is driven by a pigment cell-specific mitf promoter. In this model, melanoma develops with 100% penetrance. Using the transgenic medaka malignant melanoma model, we established a screening system that employs the NanoString nCounter platform to quantify gene expression within custom sets of TDS gene targets that we had previously shown to exhibit differential transcription among xmrk-transgenic and wild-type medaka. Compound-modulated gene expression was identified using an internet-accessible custom-built data processing pipeline. The effect of a given drug on the entire TDS profile was estimated by comparing compound-modulated genes in the TDS using an activation Z-score and Kolmogorov-Smirnov statistics. TDS gene probes were designed that target common signaling pathways that include proliferation, development, toxicity, immune function, metabolism and detoxification. These pathways may be utilized to evaluate candidate compounds for potential favorable, or unfavorable, effects on melanoma-associated gene expression. Here we present the logistics of using medaka to screen compounds, as well as, the development of a user-friendly NanoString data analysis pipeline to support feasibility of this novel TDS drug-screening strategy.