The ADP-ribosylation factor (ARF) family of small G-proteins regulates membrane dynamics and intracellular membrane traffic. ARFs are activated upon GTP-binding catalyzed by guanine-nucleotide exchange factors (GEF), which works as a molecular switch and triggers association with specific target membranes. This work focused on the cloning, expression and characterization of genes from the milk yeast K. lactis and the fly D. melanogaster, which are putative homologs of the S. cerevisiae genes GEA1, GEA2, ARF1, ARF2, and ARF3.

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Herzinsuffizienz ist ein klinisches Syndrom, welches durch funktionelle und strukturelle Anomalien des Herzens verursacht wird, und ist weltweit die häufigste Todesursache. Die dilatative Kardiomyopathie, welche durch eine Vergrößerung der linken Herzkammer definiert ist, und die arrhythmogene Kardiomyopathie, welche im Gegensatz durch eine Dysfunktion der rechten Herzkammer definiert ist, sind eine der häufigsten Ursachen für Herzinsuffizienz. Trotz vieler Bemühungen die molekularen Veränderungen der Herzinsuffizienz zu charakterisieren, sind Zelltypzusammensetzung, Genexpressionsänderungen, und zelluläre Interaktionen unter pathologischen Bedingungen unbekannt. Um diese Fragen zu adressieren wurde ein Protokoll zur Isolation intakter Zellkerne entwickelt um Einzelkernsequenzierung im Herzen durchzuführen. Anschließend wurde mit dem entwickelten Protokoll die zelluläre Zusammensetzung des erwachsenen gesunden menschlichen Herzens charakterisiert. Hier war mein Fokus die Charakterisierung und Identifikation von Subformen von Fibroblasten, und deren Genexpressionsunterschiede in den linken und rechten Vorhöfen und Herzkammern. Basierend auf dieser Annotation wurden die Zelltypen und Subtypen von ungefähr 900.000 Zellkernen von 61 nicht-ischämischen Herzinsuffizienzpatienten mit unterschliedlichen pathogenen Varianten in DCM- und ACM-assoziierten Genen oder idiopathischen Erkrankungen charakterisiert und mit 18 gesunden Spenderherzen verglichen. Dieser Datensatz zeigte spezifische Unterschiede des linken und rechten Ventrikels mit differenziell regulierten Genen und Signalwegen, and Veränderungen in der Zusammensetzung der verschiedenen Zelltypen und Subtypen. Um genotyp-spezifische Antworten unabhängig zu bestätigen wurden Algorithmen des maschinellen Lernens angewendet, welche die zugehörige Genotyp-Untergruppe des Patienten mit hoher Genauigkeit vorhersagten. Zusammenfassend stellen die in dieser Arbeit veröffentlichten Daten das vorherrschende Dogma in Frage, dass Herzinsuffizienz auf einen gemeinsamen finalen Signalweg zurückzuführen ist. / Heart failure is a clinical syndrom and leading cause of death worldwide, caused by functional and structural abnormalities of the heart. Dilated Cardiomyopathy, defined by a left ventricular enlargement, and arrhythmogenic cardiomyopathy, defined by a right ventricular dysfunction, are leading causes of heart failure. Despite previous efforts to characterise molecular changes in the failing heart, little is known on cell-type specific abundance and expression changes under pathological conditions, and how individual cell-types interact during heart failure and cardiac remodelling. To address this question, a protocol for the isolation of intact nuclei was firstly established to perform robust single-nucleus RNA sequencing in the heart. Next, the cell-type composition of the healthy adult human heart was characterised. Here my focus was on the fibroblast nieche by characterising fibroblast states, their composition and their atria- and ventricle-specific expression patterns. Cell type and state annotation was then used to characterize the transcriptome of roughly 900,000 nuclei from 61 failing, non-ischemic human hearts with distinct pathogenic variants in DCM and ACM genes or idiopathic disease and compared those to 18 healthy donor hearts. This dataset revealed distinct responses of the right and left ventricle with differently regulated genes and pathways, and compositional changes across cell types and states. To independently confirm genotype-specific responses, machine learning approaches were applied, predicting genotype subgroups with high accuracy. Taken together, the findings published in this thesis upend the prevalent dogma that heart failure results in a final common pathway.

Peptides play pivotal roles in the regulation of various physiological processes. As neuropeptides or peptide hormones, they can bind to a range of receptors and thereby trigger the activation of different pathways, including insulin signaling. Another central functionality is facilitated by the action of the as regulins summarized transmembrane micropeptides. By binding to the sarco/endoplasmic reticulum Ca2+ ATPase (SERCA), the regulins control Ca2+ homeostasis and muscle contraction. With the ongoing identification of novel modulatory micropeptides encoded by small open reading frames, the urgency to understand peptide-dependent regulatory networks rises. In this regard, especially impact and physiological relevance exerted by the enzymatic inactivation of the mature, biologically active peptides are far from completely understood. Neprilysins are metalloendopeptidases expressed throughout the animal kingdom. Based on their broad substrate specificity, the activity of neprilysins is crucial for the modulation of multiple peptide-dependent processes. This work aimed to identify new peptide substrates of the Drosophila melanogaster Neprilysin 4 (Nep4) and investigate the enzyme's physiological impact on the affected regulatory mechanisms. The first part of the work could identify 16 novel Nep4 peptide substrates that play essential roles in insulin signaling and the regulation of food intake: allatostatin A1-A4, adipokinetic hormone, corazonin, diuretic hormone 31, drosulfakinin 1 and 2, leucokinin, two short neuropeptide F peptides, and tachykinin 1-4. Thereby, aberrant expression of Nep4 leads to severe phenotypes linked to misregulation of insulin signaling, including reduced body size and weight, compromised food intake, and a characteristic shift in metabolomic composition. To further investigate and understand the complex functionality of the newly discovered Nep4 substrates, these peptides were tested for their ability to modulate the Drosophila heartbeat. A combined in vitro/in vivo screen revealed that the tested substrates exert chronotropic as well as inotropic effects, rendering the peptides as essential novel modulators of the heartbeat in Drosophila. The main project of this thesis was based on the initial finding that animals with Nep4 overexpression exhibit severe impairments of body wall muscle and heart functionality. By applying various experiments, including analyses of muscle and heart contraction, measurement of Ca2+ transients, pull-down studies, STED super-resolution microscopy, and mass spectrometry, Neprilysin 4 was identified as a novel modulator of SERCA activity. The molecular underpinning of this regulatory mechanism is the Nep4 mediated cleavage and inactivation of Drosophila SERCA-inhibitory Sarcolamban micropeptides SCLA and SCLB. Strikingly, cleavage experiments using the mammalian neprilysin and apparent colocalization of Neprilysin and SERCA in human heart tissue indicate evolutionary conservation of this mechanism. In summary, this work could identify a range of so far unknown Nep4 substrates and thereby point out the critical roles these class of enzymes plays in insulin signaling as well as the physiology of muscle and heart contraction.

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