@phdthesis{Cellini2024,
  author    = {Cellini, Antonella},
  title     = {Die Rolle der Na\(^+\)/K\(^+\)-ATPase in der Herzinsuffizienz},
  doi       = {10.25972/OPUS-29789},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-297894},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {Die Na+ /K+ -ATPase (NKA) ist maßgeblich an der Regulation der kardialen Na+ -Hom{\"o}ostase beteilligt. Im Myokard werden haupts{\"a}chlich zwei Isoformen exprimiert: die α1 (NKA-α1) und die α2-Isoform (NKA-α2). Diese beiden Isoformen unterscheiden sich sowohl in ihrer Lokalisation als auch in ihrer zellul{\"a}ren Funktion. So ist die NKA-α1 recht homogen entlang des Sarkolemms zu finden und ist verantwortlich f{\"u}r die Regulation der globalen intrazellul{\"a}ren Na+ -Konzentration ([Na+ ]i). Die NKA-α2 hingegen konzentriert sich haupts{\"a}chlich in den T-Tubuli und beeinflusst {\"u}ber Ver{\"a}nderung der lokalen [Na+ ]i die Ca2+ -Transienten und die Kontraktilit{\"a}t. Im Rahmen einer Herzinsuffizienz wurde eine verminderte Expression und Aktivit{\"a}t der NKA beobachtet. Gleichzeitig werden Inhibitoren der NKA, sogenannte Digitalisglykoside, in fortgeschrittenen Herzinsuffizienz-Stadien eingesetzt. Die Studienlage {\"u}ber den Einsatz dieser Therapeutika ist recht uneinheitlich und reicht von einer verringerten Hospitalisierung bis hin zu einer erh{\"o}hten Mortalit{\"a}t. Ziel dieser Arbeit war es die Folgen einer NKA-α2 Aktivierung w{\"a}hrend einer Herzinsuffizienz mit Hilfe eines murinen {\"U}berexpressionsmodells zu analysieren. 11-Wochen alte M{\"a}use mit einer kardialen NKA-α2 {\"U}berexpression (NKA-α2) und Wildtyp (WT) Versuchstiere wurden einem 8-w{\"o}chigen Myokardinfarkt (MI) unterzogen. NKA-α2 Versuchstiere waren vor einem pathologischem Remodeling und einer kardialen Dysfunktion gesch{\"u}tzt. NKA-α2 Kardiomyozyten zeigten eine erh{\"o}hte Na+ /Ca2+ -Austauscher (NCX) Aktivit{\"a}t, die zu niedrigeren diastolischen und systolischen Ca2+ -Spiegeln f{\"u}hrte und einer Ca2+ -Desensitisierung der Myofibrillen entgegenwirkte. WT Versuchstiere zeigten nach chronischem MI eine sarkoplasmatische Ca2+ -Akkumulation, die in NKA-α2 Kardiomyozyten ausblieb. Gleichzeitig konnte in der NKA-α2 MI Kohorte im Vergleich zu den WT MI Versuchstieren eine erh{\"o}hte Expression von β1-adrenergen Rezeptoren (β1AR) beobachtet werden, die eine verbesserte Ansprechbarkeit gegen{\"u}ber β-adrenergen Stimuli bewirkte. Zudem konnte in unbehandelten Versuchstieren eine Interaktion zwischen NKA-α2 und dem β1AR nachgewiesen werden, welche in der WT Kohorte gr{\"o}ßer ausfiel als in der NKA-α2 Versuchsgruppe. Gleichzeitig zeigten unbehandelte NKA-α2 Kardiomyozyten eine erh{\"o}hte Sensitivit{\"a}t gegen{\"u}ber β-adrenerger Stimulation auf, welche nicht mit einer erh{\"o}hten Arrhythmie-Neigung oder vermehrten Bildung reaktiver Sauerstoffspezies einherging. Diese Untersuchungen zeigen, dass eine NKA-α2 {\"U}berexpression vor pathologischem Remodeling und einer kardialen Funktionbeeintr{\"a}chtigung sch{\"u}tzt, indem eine systolische, diastolische und sarkoplasmatische Ca2+ -Akkumulation verhindert wird. Gleichzeitig wird die β1AR Expression stabilisert, wodurch es zu einer verminderten neurohumoralen Aktivierung und einer Durchbrechung des Circulus vitiosus kommen k{\"o}nnte. Insgesamt scheint eine Aktivierung der NKA-α2 durchaus ein vielversprechendes Target in der Herzinsuffizienz Therapie darzustellen. Therapie darzustellen.},
  subject      = {Herzinsuffizienz},
  language  = {de}
}
@phdthesis{Daeullary2024,
  author    = {D{\"a}ullary, Thomas},
  title     = {Establishment of an infection model of the human intestinal epithelium to study host and pathogen determinants during the \(Salmonella\) Typhimurium infection process},
  doi       = {10.25972/OPUS-31154},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-311548},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {According to the WHO, foodborne derived enteric infections are a global disease burden and often manifest in diseases that can potentially reach life threatening levels, especially in developing countries. These diseases are caused by a variety of enteric pathogens and affect the gastrointestinal tract, from the gastric to the intestinal to the rectal tissue. Although the complex mucosal structure of these organs is usually well prepared to defend the body against harmful agents, specialised pathogens such as Salmonella enterica can overcome the intestinal defence mechanism. After ingestion, Salmonella are capable of colonising the gut and establishing their proliferative niche, thereby leading to inflammatory processes and tissue damage of the host epithelium. In order to understand these processes, the scientific community in the last decades mostly used cell line based in vitro approaches or in vivo animal studies. Although these approaches provide fundamental insights into the interactions between bacteria and host cells, they have limited applicability to human pathology. Therefore, tissue engineered primary based approaches are important for modern infection research. They exhibit the human complexity better than traditional cell lines and can mimic human-obligate processes in contrast to animal studies. Therefore, in this study a tissue engineered human primary model of the small intestinal epithelium was established for the application of enteric infection research with the exemplary pathogen Salmonella Typhimurium. To this purpose, adult stem cell derived intestinal organoids were used as a primary human cell source to generate monolayers on biological or synthetic scaffolds in a Transwell®-like setting. These tissue models of the intestinal epithelium were examined for their comparability to the native tissue in terms of morphology, morphometry and barrier function. Further, the gene expression profiles of organotypical mucins, tight junction-associated proteins and claudins were investigated. Overall, the biological scaffold-based tissue models showed higher similarity to the native tissue - among others in morphometry and polarisation. Therefore, these models were further characterised on cellular and structural level. Ultrastructural analysis demonstrated the establishment of characteristic microvilli and tight-junction connections between individual epithelial cells. Furthermore, the expression pattern of typical intestinal epithelial protein was addressed and showed in vivo-like localisation. Interested in the cell type composition, single cell transcriptomic profiling revealed distinct cell types including proliferative cells and stem cells, progenitors, cellular entities of the absorptive lineage, Enterocytes and Microfold-like cells. Cells of the secretory lineage were also annotated, but without distinct canonical gene expression patterns. With the organotypical polarisation, protein expression, structural features and the heterogeneous cell composition including the rare Microfold-like cells, the biological scaffold-based tissue model of the intestinal epithelium demonstrates key requisites needed for infection studies with Salmonella. In a second part of this study, a suitable infection protocol of the epithelial tissue model with Salmonella Typhimurium was established, followed by the examination of key features of the infection process. Salmonella adhered to the epithelial microvilli and induced typical membrane ruffling during invasion; interestingly the individual steps of invasion could be observed. After invasion, time course analysis showed that Salmonella resided and proliferated intracellularly, while simultaneously migrating from the apical to the basolateral side of the infected cell. Furthermore, the bacterial morphology changed to a filamentous phenotype; especially when the models have been analysed at late time points after infection. The epithelial cells on the other side released the cytokines Interleukin 8 and Tumour Necrosis Factor α upon bacterial infection in a time-dependent manner. Taken together, Salmonella infection of the intestinal epithelial tissue model recapitulates important steps of the infection process as described in the literature, and hence demonstrates a valid in vitro platform for the investigation of the Salmonella infection process in the human context. During the infection process, intracellular Salmonella populations varied in their bacterial number, which could be attributed to increased intracellular proliferation and demonstrated thereby a heterogeneous behaviour of Salmonella in individual cells. Furthermore, by the application of single cell transcriptomic profiling, the upregulation of Olfactomedin-4 (OLFM4) gene expression was detected; OLFM4 is a protein involved in various functions including cell immunity as well as proliferating signalling pathways and is often used as intestinal stem cell marker. This OLFM4 upregulation was time-dependent, restricted to Salmonella infected cells and seemed to increase with bacterial mass. Investigating the OLFM4 regulatory mechanism, nuclear factor κB induced upregulation could be excluded, whereas inhibition of the Notch signalling led to a decrease of OLFM4 gene and protein expression. Furthermore, Notch inhibition resulted in decreased filamentous Salmonella formation. Taken together, by the use of the introduced primary epithelial tissue model, a heterogeneous intracellular bacterial behaviour was observed and a so far overlooked host cell response - the expression of OLFM4 by individual infected cells - could be identified; although Salmonella Typhimurium is one of the best-studied enteric pathogenic bacteria. This proves the applicability of the introduced tissue model in enteric infection research as well as the importance of new approaches in order to decipher host-pathogen interactions with higher relevance to the host.},
  subject      = {Salmonella typhimurium},
  language  = {en}
}
@phdthesis{Schmid2024,
  author    = {Schmid, Kerstin},
  title     = {Integrative, three-dimensional \(in\) \(silico\) modeling of gas exchange in the human alveolus},
  doi       = {10.25972/OPUS-35182},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-351823},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {Die Lunge erf{\"u}llt durch den Austausch von Atemgasen eine {\"u}berlebenswichtige Aufgabe. Der Gasaustausch erfolgt durch einen einfachen, aber entscheidenden passiven Diffusionsprozess. Dieser findet in den Alveolen statt, ballonartigen Strukturen, die an die peripheren Atemwege grenzen. Alveolen sind von einem dichten Netz aus kleinen Kapillaren umgeben. Hier kommt die eingeatmete Luft in unmittelbare N{\"a}he zu dem vom Herzen kommenden sauerstoffarmen Blut und erm{\"o}glicht den Austausch von Sauerstoff und Kohlenstoffdioxid {\"u}ber deren Konzentrationsgradienten. Die Effizienz des Gasaustauschs kann anhand von Indikatoren wie der Sauerstoffdiffusionskapazit{\"a}t der Lunge und der Reaktionshalbzeit gemessen werden. Beim Menschen besteht eine betr{\"a}chtliche Diskrepanz zwischen physiologischen Sch{\"a}tzungen der Diffusionskapazit{\"a}t und der theoretischen Maximalkapazit{\"a}t unter optimalen strukturellen Bedingungen (der morphologischen Sch{\"a}tzung). Diese Diskrepanz wird durch eine Reihe ineinandergreifender Faktoren beeinflusst, darunter strukturelle Elemente wie die Oberfl{\"a}che und die Dicke der Diffusionsbarriere sowie physiologische Faktoren wie die Blutflussdynamik. Um die verschiedenen Rollen dieser Faktoren zu entschl{\"u}sseln, untersuchten wir, wie die morphologischen und physiologischen Eigenschaften der menschlichen alveol{\"a}ren Mikroumgebung kollektiv und individuell den Prozess des Gasaustauschs beeinflussen. Zu diesem Zweck entwickelten wir einen integrativen in silico Ansatz, der 3D morphologische Modellierung und Simulation von Blutfluss und Sauerstofftransport kombiniert. Im Mittelpunkt unseres Ansatzes steht die Simulationssoftware Alvin, die als interaktive Plattform f{\"u}r das zugrundeliegende mathematische Modell des Sauerstofftransports in der Alveole dient. Unser r{\"a}umlich-zeitliches Modell wurde durch die Integration und Erweiterung bestehender mathematischer Modelle entwickelt und liefert Ergebnisse, die mit experimentellen Daten im Einklang stehen. Alvin erm{\"o}glicht eine immersive Auseinandersetzung mit dem simulierten Gasaustausch, indem sie Parameter{\"a}nderungen in Echtzeit und die Ausf{\"u}hrung mehrerer Simulationsinstanzen gleichzeitig erm{\"o}glicht w{\"a}hrend sie ein detailliertes quantitatives Feedback liefert. Die beteiligten morphologischen und physiologischen Parameter wurden mit einem Fokus auf der Mikrovaskulatur weiter untersucht. Durch die Zusammenstellung stereologischer Daten aus der Literatur und geometrischer 3D-Modellierung erstellten wir ein "sheet-flow" Modell als realistische Darstellung des menschlichen alveol{\"a}ren Kapillarnetzwerks. Blutfluss wurde mit Hilfe numerischer Str{\"o}mungsdynamik simuliert. Unsere Ergebnisse stimmen mit fr{\"u}heren Sch{\"a}tzungen {\"u}berein und unterstreichen die entscheidende Rolle von Viskosit{\"a}tsmodellen bei der Vorhersage des Druckabfalls in der Mikrovaskulatur. Dar{\"u}ber hinaus zeigten wir, wie unser Ansatz genutzt werden kann, um strukturelle Details wie die Konnektivit{\"a}t des alveol{\"a}ren Kapillarnetzes mit dem Gef{\"a}ßbaum anhand von Blutflussindizes zu untersuchen. Es ist wichtig zu betonen, dass wir uns bislang auf verschiedene Datenquellen st{\"u}tzten und dass f{\"u}r weitere Fortschritte eine experimentelle Vailidierung erforderlich ist. Die Integration unserer Ergebnisse in Alvin erm{\"o}glichte die Quantifizierung des simulierten Gasaustauschprozesses {\"u}ber die Sauerstoffdiffusionskapazit{\"a}t und die Reaktionshalbzeit. Neben der Bewertung der kollektiven Einfl{\"u}sse der morphologischen und physiologischen Eigenschaften erleichterte unsere interaktive Software auch die Bewertung einzelner Parameter{\"a}nderungen. Die Betrachtung des Blutvolumens und der f{\"u}r den Gasaustausch zur Verf{\"u}gung stehenden Oberfl{\"a}che ergab lineare Korrelationen mit der Diffusionskapazit{\"a}t. Die Blutflussgeschwindigkeit hatte einen positiven, nichtlinearen Effekt auf die Diffusionskapazit{\"a}t. Die Reaktionshalbzeit best{\"a}tigte, dass der Gasaustauschprozess in der Regel nicht diffusionslimitiert ist. Insgesamt lieferte unser Alveolenmodell einen Wert f{\"u}r die Diffusionskapazit{\"a}t, der in der Mitte der fr{\"u}heren physiologischen und morphologischen Sch{\"a}tzung lag. Daraus l{\"a}sst sich schließen, dass Ph{\"a}nomene auf Alveolarebene zu 50\% der Limitierung der Diffusionskapazit{\"a}t beitragen, die in vivo eintreten. Zusammenfassend l{\"a}sst sich sagen, dass unser integrativer in silico Ansatz verschiedene strukturelle und funktionelle Einfl{\"u}sse auf den alveol{\"a}ren Gasaustausch aufschl{\"u}sselt und damit die traditionelle Forschung in der Atemwegsforschung erg{\"a}nzt. Zus{\"a}tzlich zeigen wir seinen Nutzen in der Lehre oder bei der Interpretation ver{\"o}ffentlichter Daten auf. Um unser Verst{\"a}ndnis zu verbessern, sollten k{\"u}nftige Arbeiten vorrangig darauf ausgerichtet sein, einen zusammenh{\"a}ngenden experimentellen Datensatz zu erhalten und ein geeignetes Viskosit{\"a}tsmodell f{\"u}r Blutflusssimulationen zu finden.},
  subject      = {Gasaustausch},
  language  = {en}
}
@phdthesis{Forster2023,
  author    = {Forster, Andr{\´e}},
  title     = {Targeting Temporally Stable Vulnerability Factors in the Prediction of Long-Term Courses of Depression: Diagnostic Considerations and Therapeutic Protocols Based on Transcranial Ultrasonic Neuromodulation of Endophenotypes},
  doi       = {10.25972/OPUS-27906},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-279065},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Depressive disorders represent one of the main sources for the loss of healthy years of life. One of the reasons for this circumstance is the recurrent course of these disorders, which can be interrupted by current therapeutic approaches, especially in the shortterm, but seem to be maintained at least in part in the long-term. Subsequently, on one hand, this thesis deals with methodological measurement issues in the longitudinal prediction of depressive courses. On the other hand, it addresses two currently discussed neuroscience-based treatment approaches, which are investigated experimentally in a basic-psychological manner and reviewed in the light of their potential to translate results to the application in patient care. These two approaches each address potential mechanisms that may negatively impact long-term disease trajectories: First, stable endophenotypes for vulnerability factors that could regain control over the organism and reactivate maladaptive experiences, or behaviors with increasing temporal distance from therapeutic methods are focused on. In the studies presented, these were influenced by a recently rediscovered method of neuromodulation (transcranial low-intensity focused ultrasound) which is discussed in light of its unique capability to address even deepest, subcortical regions at a high spatial resolution. Lastly, as a second approach, an experimental design for the use of reconsolidation interference is presented, which could provide a first insight into the applicability of corresponding protocols in the field of depressive disorders and thus contribute to the modification, instead of inhibition, of already mentioned endophenotypes. In sum, methodological considerations for monitoring and predicting long-term courses of depression are deducted before two approaches are discussed that could potentially exert positive influences on the recurrent nature of depressive symptoms on their own, in combination with each other, or as augmentation for existing therapeutic procedures.},
  subject      = {Depression},
  language  = {en}
}
@phdthesis{Schmalz2023,
  author    = {Schmalz, Fabian Dominik},
  title     = {Processing of behaviorally relevant stimuli at different levels in the bee brain},
  doi       = {10.25972/OPUS-28882},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-288824},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {The behavior of honeybees and bumblebees relies on a constant sensory integration of abiotic or biotic stimuli. As eusocial insects, a sophisticated intraspecific communication as well as the processing of multisensory cues during foraging is of utter importance. To tackle the arising challenges, both honeybees and bumblebees have evolved a sophisticated olfactory and visual processing system. In both organisms, olfactory reception starts at the antennae, where olfactory sensilla cover the antennal surface in a sex-specific manner. These sensilla house olfactory receptor neurons (ORN) that express olfactory receptors. ORNs send their axons via four tracts to the antennal lobe (AL), the prime olfactory processing center in the bee brain. Here, ORNs specifically innervate spheroidal structures, so-called glomeruli, in which they form synapses with local interneurons and projection neurons (PN). PNs subsequently project the olfactory information via two distinct tracts, the medial and the lateral antennal-lobe tract, to the mushroom body (MB), the main center of sensory integration and memory formation. In the honeybee calyx, the sensory input region of the MB, PNs synapse on Kenyon cells (KC), the principal neuron type of the MB. Olfactory PNs mainly innervate the lip and basal ring layer of the calyx. In addition, the basal ring receives input from visual PNs, making it the first site of integration of visual and olfactory information. Visual PNs, carrying sensory information from the optic lobes, send their terminals not only to the to the basal ring compartment but also to the collar of the calyx. Receiving olfactory or visual input, KCs send their axons along the MB peduncle and terminate in the main output regions of the MB, the medial and the vertical lobe (VL) in a layer-specific manner. In the MB lobes, KCs synapse onto mushroom body output neurons (MBON). In so far barely understood processes, multimodal information is integrated by the MBONs and then relayed further into the protocerebral lobes, the contralateral brain hemisphere, or the central brain among others. This dissertation comprises a dichotomous structure that (i) aims to gain more insight into the olfactory processing in bumblebees and (ii) sets out to broaden our understanding of visual processing in honeybee MBONs. The first manuscript examines the olfactory processing of Bombus terrestris and specifically investigates sex-specific differences. We used behavioral (absolute conditioning) and electrophysiological approaches to elaborate the processing of ecologically relevant odors (components of plant odors and pheromones) at three distinct levels, in the periphery, in the AL and during olfactory conditioning. We found both sexes to form robust memories after absolute conditioning and to generalize towards the carbon chain length of the presented odors. On the contrary, electroantennographic (EAG) activity showed distinct stimulus and sex-specific activity, e.g. reduced activity towards citronellol in drones. Interestingly, extracellular multi-unit recordings in the AL confirmed stimulus and sex-specific differences in olfactory processing, but did not reflect the differences previously found in the EAG. Here, farnesol and 2,3-dihydrofarnesol, components of sex-specific pheromones, show a distinct representation, especially in workers, corroborating the results of a previous study. This explicitly different representation suggests that the peripheral stimulus representation is an imperfect indication for neuronal representation in high-order neuropils and ecological importance of a specific odor. The second manuscript investigates MBONs in honeybees to gain more insights into visual processing in the VL. Honeybee MBONs can be categorized into visually responsive, olfactory responsive and multimodal. To clarify which visual features are represented at this high-order integration center, we used extracellular multi-unit recordings in combination with visual and olfactory stimulation. We show for the first time that information about brightness and wavelength is preserved in the VL. Furthermore, we defined three specific classes of visual MBONs that distinctly encode the intensity, identity or simply the onset of a stimulus. The identity-subgroup exhibits a specific tuning towards UV light. These results support the view of the MB as the center of multimodal integration that categorizes sensory input and subsequently channels this information into specific MBON populations. Finally, I discuss differences between the peripheral representations of stimuli and their distinct processing in high-order neuropils. The unique activity of farnesol in manuscript 1 or the representation of UV light in manuscript 2 suggest that the peripheral representation of a stimulus is insufficient as a sole indicator for its neural activity in subsequent neuropils or its putative behavioral importance. In addition, I discuss the influence of hard-wired concepts or plasticity induced changes in the sensory pathways on the processing of such key stimuli in the peripheral reception as well as in high-order centers like the AL or the MB. The MB as the center of multisensory integration has been broadly examined for its olfactory processing capabilities and receives increasing interest about its visual coding properties. To further unravel its role of sensory integration and to include neglected modalities, future studies need to combine additional approaches and gain more insights on the multimodal aspects in both the input and output region.},
  subject      = {Biene},
  language  = {en}
}
@phdthesis{KayisogluKaya2022,
  author    = {Kayisoglu-Kaya, {\"O}zge},
  title     = {Analysis of gastrointestinal epithelial innate immune barrier using human and murine organoids as a model},
  doi       = {10.25972/OPUS-27749},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-277497},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {The epithelial layer of the gastrointestinal (GI) tract provides a barrier between the environment and the body. Dysfunction of the epithelium, including changes of the innate immune response facilitated by pattern recognition receptors (PRRs), plays a major role in the development of GI disorders. However, the organization of innate immune sensing, the expression and activity of PRRs and the factors contri¬buting to such possible organization along the GI tract are unclear. In recent years, stem cell-derived organoids gained increasing attention as promising tissue models. Here, a biobank of human and murine organoids comprising three lines from each GI segment; corpus, pylorus, duodenum, jejunum, ileum, colon was generated. RNA sequencing of 42 lines confirmed the preservation of tissue identity and revealed an extensive organization of innate immune signaling components along the cephalocaudal axis, giving each segment a specific innate immune profile. Comple-menting the region-specific expression analysis, several PRRs in human and murine organoids showed region- and species-specific function. To investigate the factors contributing to the patterning of innate immunity in the GI tract, the impact of microbial components was analyzed using murine embryo-derived, never colonized gastric and proximal intestinal organoids. Transcriptional profiling of embryo-derived organoids showed that while expression of some PRRs may depend on environmental cues as expected, an unexpectedly large part of segment-specific expression of PRR signaling components is independent of prior contact with microbial products. Further, analysis of published RNA-seq data as well as in vitro experiments using directed differentiation of organoids into specific cell types showed that expression of innate immune gene also depended on cellular differentiation along the crypt-villus axis. This underlined the importance of cellular differentiation rather than contact to microbial compounds for expression of PRRs. Lastly, analysis of published datasets of RNA-seq and ATAC-seq after knockout of the intestinal transcription factor Cdx2 demonstrated that Cdx2 is likely important for the expression of Nlrp6 and Naip1 in the murine intestine. Future experiments have to support these preliminary findings. Taken together, the expression of a large part of epithelial innate immunity is develop¬mentally defined and conserved in tissue-resident stem cells. The identification of mechanisms governing expression of genes related to immunity will provide further insights into the mechanisms that play a role in the progress of inflammatory diseases.},
  subject      = {Organoid},
  language  = {en}
}
@phdthesis{Mayer2021,
  author    = {Mayer, Alexander E.},
  title     = {Protein kinase D3 signaling in the regulation of liver metabolism},
  doi       = {10.25972/OPUS-20797},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-207978},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {The liver plays a pivotal role in maintaining energy homeostasis. Hepatic carbohydrate and lipid metabolism are tightly regulated in order to adapt quickly to changes in nutrient availability. Postprandially, the liver lowers the blood glucose levels and stores nutrients in form of glycogen and triglycerides (TG). In contrast, upon fasting, the liver provides glucose, TG, and ketone bodies. However, obesity resulting from a discrepancy in food intake and energy expenditure leads to abnormal fat accumulation in the liver, which is associated with the development of hepatic insulin resistance, non-alcoholic fatty liver disease, and diabetes. In this context, hepatic insulin resistance is directly linked to the accumulation of diacylglycerol (DAG) in the liver. Besides being an intermediate product of TG synthesis, DAG serves as second messenger in response to G-protein coupled receptor signaling. Protein kinase D (PKD) family members are DAG effectors that integrate multiple metabolic inputs. However, the impact of PKD signaling on liver physiology has not been studied so far. In this thesis, PKD3 was identified as the predominantly expressed isoform in liver. Stimulation of primary hepatocytes with DAG as well as high-fat diet (HFD) feeding of mice led to an activation of PKD3, indicating its relevance during obesity. HFD-fed mice lacking PKD3 specifically in hepatocytes displayed significantly improved glucose tolerance and insulin sensitivity. However, at the same time, hepatic deletion of PKD3 in mice resulted in elevated liver weight as a consequence of increased hepatic lipid accumulation. Lack of PKD3 in hepatocytes promoted sterol regulatory element-binding protein (SREBP)-mediated de novo lipogenesis in vitro and in vivo, and thus increased hepatic triglyceride and cholesterol content. Furthermore, PKD3 suppressed the activation of SREBP by impairing the activity of the insulin effectors protein kinase B (AKT) and mechanistic target of rapamycin complexes (mTORC) 1 and 2. In contrast, liver-specific overexpression of constitutive active PKD3 promoted glucose intolerance and insulin resistance. Taken together, lack of PKD3 improves hepatic insulin sensitivity but promotes hepatic lipid accumulation. For this reason, manipulating PKD3 signaling might be a valid strategy to improve hepatic lipid content or insulin sensitivity. However, the exact molecular mechanism by which PKD3 regulates hepatocytes metabolism remains unclear. Unbiased proteomic approaches were performed in order to identify PKD3 phosphorylation targets. In this process, numerous potential targets of PKD3 were detected, which are implicated in different aspects of cellular metabolism. Among other hits, phenylalanine hydroxylase (PAH) was identified as a target of PKD3 in hepatocytes. PAH is the enzyme that is responsible for the conversion of phenylalanine to tyrosine. In fact, manipulation of PKD3 activity using genetic tools confirmed that PKD3 promotes PAH-dependent conversion of phenylalanine to tyrosine. Therefore, the data in this thesis suggests that PKD3 coordinates lipid and amino acid metabolism in the liver and contributes to the development of hepatic dysfunction.},
  subject      = {Metabolismus},
  language  = {en}
}
@phdthesis{Dannhaeuser2021,
  author    = {Dannh{\"a}user, Sven},
  title     = {Function of the Drosophila adhesion-GPCR Latrophilin/CIRL in nociception and neuropathy},
  doi       = {10.25972/OPUS-20158},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-201580},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {Touch sensation is the ability to perceive mechanical cues which is required for essential behaviors. These encompass the avoidance of tissue damage, environmental perception, and social interaction but also proprioception and hearing. Therefore research on receptors that convert mechanical stimuli into electrical signals in sensory neurons remains a topical research focus. However, the underlying molecular mechanisms for mechano-metabotropic signal transduction are largely unknown, despite the vital role of mechanosensation in all corners of physiology. Being a large family with over 30 mammalian members, adhesion-type G protein-coupled receptors (aGPCRs) operate in a vast range of physiological processes. Correspondingly, diverse human diseases, such as developmental disorders, defects of the nervous system, allergies and cancer are associated with these receptor family. Several aGPCRs have recently been linked to mechanosensitive functions suggesting, that processing of mechanical stimuli may be a common feature of this receptor family - not only in classical mechanosensory structures. This project employed Drosophila melanogaster as the candidate to analyze the aGPCR Latrophilin/dCIRL function in mechanical nociception in vivo. To this end, we focused on larval sensory neurons and investigated molecular mechanisms of dCIRL activity using noxious mechanical stimuli in combination with optogenetic tools to manipulate second messenger pathways. In addition, we made use of a neuropathy model to test for an involvement of aGPCR signaling in the malfunctioning peripheral nervous system. To do so, this study investigated and characterized nocifensive behavior in dCirl null mutants (dCirlKO) and employed genetically targeted RNA-interference (RNAi) to cell-specifically manipulate nociceptive function. The results revealed that dCirl is transcribed in type II class IV peripheral sensory neurons - a cell type that is structurally similar to mammalian nociceptors and detects different nociceptive sensory modalities. Furthermore, dCirlKO larvae showed increased nocifensive behavior which can be rescued in cell specific reexpression experiments. Expression of bPAC (bacterial photoactivatable adenylate cyclase) in these nociceptive neurons enabled us to investigate an intracellular signaling cascade of dCIRL function provoked by light-induced elevation of cAMP. Here, the findings demonstrated that dCIRL operates as a down-regulator of nocifensive behavior by modulating nociceptive neurons. Given the clinical relevance of this results, dCirl function was tested in a chemically induced neuropathy model where it was shown that cell specific overexpression of dCirl rescued nocifensive behavior but not nociceptor morphology.},
  subject      = {Drosophila},
  language  = {en}
}
@phdthesis{Staus2021,
  author    = {Staus, Madlen},
  title     = {Glutathione-dependent reprogramming in melanoma},
  doi       = {10.25972/OPUS-16842},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-168424},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {These days, treatment of melanoma patients relies on targeted therapy with BRAF/MEK inhibitors and on immunotherapy. About half of all patients initially respond to existing therapies. Nevertheless, the identification of alternative therapies for melanoma patients with intrinsic or acquired resistance is of great importance. In melanoma, antioxidants play an essential role in the maintenance of the redox homeostasis. Therefore, disruption of the redox homeostasis is regarded as highly therapeutically relevant and is the focus of the present work. An adequate supply of cysteine is essential for the production of the most important intracellular antioxidants, such as glutathione. In the present work, it was investigated whether the depletion of cysteine and glutathione is therapeutically useful. Depletion of glutathione in melanoma cells could be achieved by blocking cysteine supply, glutathione synthesis, and NADPH regeneration. As expected, this led to an increased level of reactive oxygen species (ROS). Surprisingly, however, these changes did not impair the proliferation and survival of the melanoma cells. In contrast, glutathione depletion led to cellular reprogramming which was characterized by the induction of mesenchymal genes and the repression of differentiation markers (phenotypic switch). This was accompanied by an increased migration and invasion potential which was favored by the induction of the transcription factor FOSL1. To study in vivo reprogramming, Gclc, the first and rate-limiting enzyme in glutathione synthesis, was knocked out by CRISPR/Cas9 in murine melanoma cells. The cells were devoid of glutathione, but were fully viable and showed a phenotypic switch, the latter only in MITF-expressing B16F1 cells and not in MITF-deficient D4M3A.781 cells. Following subcutaneous injection into immunocompetent C57BL/6 mice, Gclc knockout B16F1 cells grew more aggressively and resulted in an earlier tumor onset than B16F1 control cells. In summary, this work demonstrates that inhibition of cysteine supply and thus, glutathione synthesis leads to cellular reprogramming in melanoma. In this context, melanoma cells show metastatic capabilities, promoting a more aggressive form of the disease.},
  subject      = {Melanom},
  language  = {en}
}
@phdthesis{Segebarth2021,
  author    = {Segebarth, Dennis},
  title     = {Evaluation and validation of deep learning strategies for bioimage analyses},
  doi       = {10.25972/OPUS-24372},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-243728},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {Significant advances in fluorescence imaging techniques enable life scientists today to gain insights into biological systems at an unprecedented scale. The interpretation of image features in such bioimage datasets and their subsequent quantitative analysis is referred to as bioimage analysis. A substantial proportion of bioimage analyses is still performed manually by a human expert - a tedious process that is long known to be subjective. Particularly in tasks that require the annotation of image features with a low signal-to-noise ratio, like in fluorescence images of tissue samples, the inter-rater agreement drops. However, like any other scientific analysis, also bioimage analysis has to meet the general quality criteria of quantitative research, which are objectivity, reliability, and validity. Thus, the automation of bioimage analysis with computer-aided approaches is highly desirable. Albeit conventional hard-coded algorithms are fully unbiased, a human user has to set its respective feature extraction parameters. Thus, also these approaches can be considered subjective. Recently, deep learning (DL) has enabled impressive advances in computer vision research. The predominant difference between DL and conventional algorithms is the capability of DL models to learn the respective task on base of an annotated training dataset, instead of following user-defined rules for feature extraction. This thesis hypothesized that DL can be used to increase the objectivity, reliability, and validity of bioimage analyses, thus going beyond mere automation. However, in absence of ground truth annotations, DL models have to be trained on manual and thus subjective annotations, which could cause the model to incorporate such a bias. Moreover, model training is stochastic and even training on the same data could result in models with divergent outputs. Consequently, both the training on subjective annotations and the model-to-model variability could impair the quality of DL-based bioimage analyses. This thesis systematically assessed the impacts of these two limitations experimentally by analyzing fluorescence signals of a protein called cFOS in mouse brain sections. Since the abundance of cFOS correlates with mouse behavior, behavioral analyses could be used for cross-validation of the bioimage analysis results. Furthermore, this thesis showed that pooling the input of multiple human experts during model training and integration of multiple trained models in a model ensemble can mitigate the impact of these limitations. In summary, the present study establishes guidelines for how DL can be used to increase the general quality of bioimage analyses.},
  subject      = {Deeplearning},
  language  = {en}
}