@phdthesis{Romanov2019,
  author    = {Romanov, Natalie},
  title     = {Characterizing Variation of Protein Complexes and Functional Modules on a Temporal Scale and across Individuals},
  doi       = {10.25972/OPUS-16813},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-168139},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2019},
  abstract  = {A fundamental question in current biology concerns the translational mechanisms leading from genetic variability to phenotypes. Technologies have evolved to the extent that they can efficiently and economically determine an individual's genomic composition, while at the same time big data on clinical profiles and diagnostics have substantially accumulated. Genome-wide association studies linking genomic loci to certain traits, however, remain limited in their capacity to explain the cellular mechanisms that underlie the given association. For most associations, gene expression has been blamed; yet given that transcript and protein abundance oftentimes do not correlate, that finding does not necessarily decrypt the underlying mechanism. Thus, the integration of further information is crucial to establish a model that could prove more accurate in predicting genotypic effects on the human organism. In this work we describe the so-called proteotype as a feature of the cell that could provide a substantial link between genotype and phenotype. Rather than looking at the proteome as a set of independent molecules, we demonstrate a consistent modular architecture of the proteome that is driven by molecular cooperativity. Functional modules, especially protein complexes, can be further interrogated for differences between individuals and tackled as imprints of genetic and environmental variability. We also show that subtle stoichiometric changes of protein modules could have broader effects on the cellular system, such as the transport of specific molecular cargos. The presented work also delineates to what extent temporal events and processes influence the stoichiometry of protein complexes and functional modules. The re-wiring of the glycolytic pathway for example is illustrated as a potential cause for an increased Warburg effect during the ageing of the human bone marrow. On top of analyzing protein abundances we also interrogate proteome dynamics in terms of stability and solubility transitions during the short temporal progression of the cell cycle. One of our main observations in the thesis encompass the delineation of protein complexes into respective sub-complexes according to distinct stability patterns during the cell cycle. This has never been demonstrated before, and is functionally relevant for our understanding of the dis- and assembly of large protein modules. The insights presented in this work imply that the proteome is more than the sum of its parts, and primarily driven by variability in entire protein ensembles and their cooperative nature. Analyzing protein complexes and functional modules as molecular reflections of genetic and environmental variations could indeed prove to be a stepping stone in closing the gap between genotype and phenotype and customizing clinical treatments in the future.},
  subject      = {Proteotype},
  language  = {en}
}
@phdthesis{Confalonieri2018,
  author    = {Confalonieri, Davide},
  title     = {Development and characterization of a bone marrow stem cell niche model},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-163128},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2018},
  abstract  = {Kritische Knochendefekte stellen heutzutage ein ungel{\"o}stes Problem in der klinischen Praxis dar, da die verf{\"u}gbaren prothetischen Optionen oft die mechanische Anpassung an das Gewebe nicht gew{\"a}hrleisten oder zu wichtigen immunologischen und Implantat-bedingten Komplikationen f{\"u}hren. In diesem Kontext erm{\"o}glichen Tissue Engineering-Ans{\"a}tze neue Strategien, um in vitro Zell-Material Interaktionen zu untersuchen und so die Implantatmaterialien zu optimieren. In dieser Arbeit habe ich Zell-Material Interaktionen eines neuen Kollagen-basierten Scaffolds untersucht, das langfristig als Tr{\"a}gerstruktur f{\"u}r eine zellbasierte Therapie f{\"u}r kritische Knochendefekte entwickelt werden soll. Im Rahmen der Dissertation konnte ich belegen, dass die Kollagen-basierten makropor{\"o}se Mikrocarrier f{\"u}r die Zellvermehrung humaner mesenchymaler Stammzellen (MSC) und deren osteogene Differenzierung unter GMP Bedingungen verwendet werden k{\"o}nnen. Außerdem habe ich die die Kokultur von h{\"a}matopoietischen Stammzellen des Knochenmarks und multiplen Myelomzellen funktionell charakterisiert. Ich konnte erstmals Kulturbedingungen etablieren, die die Langzeitkultur ohne die Verwendung von Zytokinen erm{\"o}glicht. Mittels dieser Kokultur konnte ich ein Knochenmarknischen-Modell etablieren und die Untersuchung der Expression von zentralen Signalkaskaden der Hom{\"o}ostase dieser Nische untersuchen. Ich konnte die Expression von zwei verschiedenen Isoformen von Osteopontin nachweisen, die in Tiermodellen nicht gefunden werden. Diese Isoformen des Osteopontins habe ich kloniert und die rekombinanten Isoformen exprimiert und ihre Rollen in der Hom{\"o}ostase der Knochenmarknische untersucht. Critical size bone defects represent nowadays an unresolved problem in the clinical practice, where the available prosthetic options often lack adequate mechanical matching to the host tissue or lead to important immunological and implant-related complications. In this context, Tissue Engineering approaches promise more effective strategies to study cell-material interactions in vitro and consequently optimize implant materials. In this work, I investigated the cell-scaffold interactions of a new collagen-based scaffold for a putative cell-based therapy for critical size defects to be developed. In the context of this thesis, I could demonstrate that the collagen-based macroporous microcarriers could be employed for the expansion and osteogenic differentiation of human mesenchymal stromal cells (MSCs) under GMP-compliant conditions. Moreover, I functionally characterized the co-culture of bone marrow hematopoietic stem cells and multiple myeloma cells. I was for the first time able to establish culture conditions allowing their long-term culture in absence of externally supplemented cytokines. Using this co-culture, I was able to establish a bone marrow niche model to investigate the expression of key signaling pathways involved in the niche´s homeostasis. I was able to demonstrate the expression of two different isoforms of Osteopontin, that could not previously be detected in animal models. Finally, I cloned these Osteopontin isoforms, expressed recombinant versions of the isoforms, and investigated their roles in the homeostasis of the bone marrow niche.},
  subject      = {bone marrow niche},
  language  = {en}
}
@phdthesis{CruzGarcia2021,
  author    = {Cruz Garcia, Yiliam},
  title     = {Interactome of the β2b subunit of L-type voltage-gated calcium channels in cardiomyocytes},
  doi       = {10.25972/OPUS-20857},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-208579},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {L-type voltage-gated calcium channels (LTCC) are heteromultimeric membrane proteins that allow Ca2+ entry into the cell upon plasma membrane depolarization. The β subunit of voltage-dependent calcium channels (Cavβ) binds to the α-interaction domain in the pore-forming α1 subunit and regulates the trafficking and biophysical properties of these channels. Of the four Cavβ isoforms, Cavβ2 is predominantly expressed in cardiomyocytes. This subunit associates with diverse proteins besides LTCC, but the molecular composition of the Cavβ2 nanoenvironments in cardiomyocytes is yet unresolved. Here, we used a protein-labeling technique in living cells based on an engineered ascorbate peroxidase 2 (APEX2). In this strategy, Cavβ2b was fused to APEX2 and expressed in adult rat cardiomyocytes using an adenovirus system. Nearby proteins covalently labeled with biotin-phenol were purified using streptavidin-coated beads and identified by mass spectrometry (MS). Analysis of the in situ APEX2-based biotin labeling by MS revealed 61 proteins located in the nanoenvironments of Cavβ2b, with a high specificity and consistency in all the replicates. These proteins are involved in diverse cellular functions such as cellular trafficking, sarcomere organization and excitation-contraction coupling. Among these proteins, we demonstrated an interaction between the ryanodine receptor 2 (RyR2) and Cavβ2b, probably coupling LTCC and the RyR2 into a supramolecular complex at the dyads. This interaction is mediated by the Src homology 3 (SH3) domain of Cavβ2b and is necessary for an effective pacing frequency-dependent increase in Ca2+-induced Ca2+ release in cardiomyocytes.},
  subject      = {Calciumkanal},
  language  = {en}
}
@phdthesis{Wolf2017,
  author    = {Wolf, Beat},
  title     = {Reducing the complexity of OMICS data analysis},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-153687},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2017},
  abstract  = {The field of genetics faces a lot of challenges and opportunities in both research and diagnostics due to the rise of next generation sequencing (NGS), a technology that allows to sequence DNA increasingly fast and cheap. NGS is not only used to analyze DNA, but also RNA, which is a very similar molecule also present in the cell, in both cases producing large amounts of data. The big amount of data raises both infrastructure and usability problems, as powerful computing infrastructures are required and there are many manual steps in the data analysis which are complicated to execute. Both of those problems limit the use of NGS in the clinic and research, by producing a bottleneck both computationally and in terms of manpower, as for many analyses geneticists lack the required computing skills. Over the course of this thesis we investigated how computer science can help to improve this situation to reduce the complexity of this type of analysis. We looked at how to make the analysis more accessible to increase the number of people that can perform OMICS data analysis (OMICS groups various genomics data-sources). To approach this problem, we developed a graphical NGS data analysis pipeline aimed at a diagnostics environment while still being useful in research in close collaboration with the Human Genetics Department at the University of W{\"u}rzburg. The pipeline has been used in various research papers on covering subjects, including works with direct author participation in genomics, transcriptomics as well as epigenomics. To further validate the graphical pipeline, a user survey was carried out which confirmed that it lowers the complexity of OMICS data analysis. We also studied how the data analysis can be improved in terms of computing infrastructure by improving the performance of certain analysis steps. We did this both in terms of speed improvements on a single computer (with notably variant calling being faster by up to 18 times), as well as with distributed computing to better use an existing infrastructure. The improvements were integrated into the previously described graphical pipeline, which itself also was focused on low resource usage. As a major contribution and to help with future development of parallel and distributed applications, for the usage in genetics or otherwise, we also looked at how to make it easier to develop such applications. Based on the parallel object programming model (POP), we created a Java language extension called POP-Java, which allows for easy and transparent distribution of objects. Through this development, we brought the POP model to the cloud, Hadoop clusters and present a new collaborative distributed computing model called FriendComputing. The advances made in the different domains of this thesis have been published in various works specified in this document.},
  subject      = {Bioinformatik},
  language  = {en}
}
@phdthesis{Anwar2022,
  author    = {Anwar, Ammarah},
  title     = {Natural variation of gene regulatory networks in \(Arabidopsis\) \(thaliana\)},
  doi       = {10.25972/OPUS-29154},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-291549},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Understanding the causal relationship between genotype and phenotype is a major objective in biology. The main interest is in understanding trait architecture and identifying loci contributing to the respective traits. Genome-wide association mapping (GWAS) is one tool to elucidate these relationships and has been successfully used in many different species. However, most studies concentrate on marginal marker effects and ignore epistatic and gene-environment interactions. These interactions are problematic to account for, but are likely to make major contributions to many phenotypes that are not regulated by independent genetic effects, but by more sophisticated gene-regulatory networks. Further complication arises from the fact that these networks vary in different natural accessions. However, understanding the differences of gene regulatory networks and gene-gene interactions is crucial to conceive trait architecture and predict phenotypes. The basic subject of this study - using data from the Arabidopsis 1001 Genomes Project - is the analysis of pre-mature stop codons. These have been incurred in nearly one-third of the ~ 30k genes. A gene-gene interaction network of the co-occurrence of stop codons has been built and the over and under representation of different pairs has been statistically analyzed. To further classify the significant over and under- represented gene-gene interactions in terms of molecular function of the encoded proteins, gene ontology terms (GO-SLIM) have been applied. Furthermore, co- expression analysis specifies gene clusters that co-occur over different genetic and phenotypic backgrounds. To link these patterns to evolutionary constrains, spatial location of the respective alleles have been analyzed as well. The latter shows clear patterns for certain gene pairs that indicate differential selection.},
  subject      = {Arabidopsis thaliana},
  language  = {en}
}
@phdthesis{Sauerwein2023,
  author    = {Sauerwein, Till},
  title     = {Implementation and application of bioinformatical software for the analysis of dual RNA sequencing data of host and pathogen during infection},
  doi       = {10.25972/OPUS-30307},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-303075},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Since the advent of high-throughput sequencing technologies in the mid-2010s, RNA se- quencing (RNA-seq) has been established as the method of choice for studying gene expression. In comparison to microarray-based methods, which have mainly been used to study gene expression before the rise of RNA-seq, RNA-seq is able to profile the entire transcriptome of an organism without the need to predefine genes of interest. Today, a wide variety of RNA-seq methods and protocols exist, including dual RNA sequenc- ing (dual RNA-seq) and multi RNA sequencing (multi RNA-seq). Dual RNA-seq and multi RNA-seq simultaneously investigate the transcriptomes of two or more species, re- spectively. Therefore, the total RNA of all interacting species is sequenced together and only separated in silico. Compared to conventional RNA-seq, which can only investi- gate one species at a time, dual RNA-seq and multi RNA-seq analyses can connect the transcriptome changes of the species being investigated and thus give a clearer picture of the interspecies interactions. Dual RNA-seq and multi RNA-seq have been applied to a variety of host-pathogen, mutualistic and commensal interaction systems. We applied dual RNA-seq to a host-pathogen system of human mast cells and Staphylo- coccus aureus (S. aureus). S. aureus, a commensal gram-positive bacterium, can become an opportunistic pathogen and infect skin lesions of atopic dermatitis (AD) patients. Among the first immune cells S. aureus encounters are mast cells, which have previously been shown to be able to kill the bacteria by discharging antimicrobial products and re- leasing extracellular traps made of protein and deoxyribonucleic acid (DNA). However, S. aureus is known to evade the host's immune response by internalizing within mast cells. Our dual RNA-seq analysis of different infection settings revealed that mast cells and S. aureus need physical contact to influence each other's gene expression. We could show that S. aureus cells internalizing within mast cells undergo profound transcriptome changes to adjust their metabolism to survive in the intracellular niche. On the host side, we found out that infected mast cells elicit a type-I interferon (IFN-I) response in an autocrine manner and in a paracrine manner to non-infected bystander-cells. Our study provides the first evidence that mast cells are capable to produce IFN-I upon infection with a bacterial pathogen.},
  subject      = {Biologie},
  language  = {en}
}
@phdthesis{Kaltdorf2020,
  author    = {Kaltdorf, Martin Ernst},
  title     = {Analyse von regulatorischen Netzwerken bei Zelldifferenzierung und in der Infektionsbiologie},
  doi       = {10.25972/OPUS-19852},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-198526},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {Das zentrale Paradigma der Systembiologie zielt auf ein m{\"o}glichst umfassendes Ver-st{\"a}ndnis der komplexen Zusammenh{\"a}nge biologischer Systeme. Die in dieser Arbeit angewandten Methoden folgen diesem Grundsatz. Am Beispiel von drei auf Basis von Datenbanken und aktueller Literatur rekonstruier-ten Netzwerkmodellen konnte in der hier vorliegenden Arbeit die G{\"u}ltigkeit analyti-scher und pr{\"a}diktiver Algorithmen nachgewiesen werden, die in Form der Analy-sesoftware Jimena angewandt wurden. Die daraus resultierenden Ergebnisse sowohl f{\"u}r die Berechnung von stabilen Systemzust{\"a}nden, der dynamischen Simulation, als auch der Identifikation zentraler Kontrollknoten konnten experimentell validiert wer-den. Die Ergebnisse wurden in einem iterativen Prozess verwendet werden um das entsprechende Netzwerkmodell zu optimieren. Beim Vergleich des Verhaltens des semiquantitativ ausgewerteten regulatorischen Netzwerks zur Kontrolle der Differenzierung humaner mesenchymaler Stammzellen in Chondrozyten (Knorpelbildung), Osteoblasten (Knochenbildung) und Adipozyten (Fett-zellbildung) konnten 12 wichtige Faktoren (darunter: RUNX2, OSX/SP7, SOX9, TP53) mit Hilfe der Berechnung der Bedeutung (Kontrollzentralit{\"a}t der Netzwerkknoten identifi-ziert werden). Der Abgleich des simulierten Verhaltens dieses Netzwerkes ergab eine {\"U}bereinstimmung mit experimentellen Daten von 47,2\%, bei einem widerspr{\"u}chlichen Verhalten von ca. 25\%, dass unter anderem durch die tempor{\"a}re Natur experimentel-ler Messungen im Vergleich zu den terminalen Bedingungen des Berechnung der stabilen Systemzust{\"a}nde erkl{\"a}rt werden kann. Bei der Analyse des Netzwerkmodells der menschlichen Immunantwort auf eine Infek-tion durch A. fumigatus konnten vier Hauptregulatoren identifiziert werden (A. fumi-gatus, Blutpl{\"a}ttchen, hier Platelets genannt, und TNF), die im Zusammenspiel mit wei-teren Faktoren mit hohen Zentralit{\"a}tswerten (CCL5, IL1, IL6, Dectin-1, TLR2 und TLR4) f{\"a}hig sind das gesamte Netzwerkverhalten zu beeinflussen. Es konnte gezeigt werden, dass sich das Aktivit{\"a}tsverhalten von IL6 in Reaktion auf A. fumigatus und die regulato-rische Wirkung von Blutpl{\"a}ttchen mit den entsprechenden experimentellen Resultaten deckt. Die Simulation, sowie die Berechnung der stabilen Systemzust{\"a}nde der Immunantwort von A. thaliana auf eine Infektion durch Pseudomonas syringae konnte zeigen, dass die in silico Ergebnisse mit den experimentellen Ergebnissen {\"u}bereinstimmen. Zus{\"a}tzlich konnten mit Hilfe der Analyse der Zentralit{\"a}tswerte des Netzwerkmodells f{\"u}nf Master-regulatoren identifiziert werden: TGA Transkriptionsfaktor, Jasmons{\"a}ure, Ent-Kaurenoate-Oxidase, Ent-kaurene-Synthase und Aspartat-Semialdehyd-Dehydrogenase. W{\"a}hrend die ersteren beiden bereits lange als wichtige Regulatoren f{\"u}r die Gib-berellin-Synthese bekannt sind, ist die immunregulatorische Funktion von Aspartat-Semialdehyd-Dehydrogenase bisher weitgehend unbekannt.},
  subject      = {Netzwerksimulation},
  language  = {de}
}
@phdthesis{Slaby2017,
  author    = {Slaby, Beate Magdalena},
  title     = {Exploring the microbiome of the Mediterranean sponge \(Aplysina\) \(aerophoba\) by single-cell and metagenomics},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-151869},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2017},
  abstract  = {Sponges (phylum Porifera) are evolutionary ancient, sessile filter-feeders that harbor a largely diverse microbial community within their internal mesohyl matrix. Throughout this thesis project, I aimed at exploring the adaptations of these symbionts to life within their sponge host by sequencing and analyzing the genomes of a variety of bacteria from the microbiome of the Mediterranean sponge Aplysina aerophoba. Employed methods were fluorescence-activated cell sorting with subsequent multiple displacement amplification and single-cell / 'mini-metagenome' sequencing, and metagenomic sequencing followed by differential coverage binning. These two main approaches both aimed at obtaining genome sequences of bacterial symbionts of A. aerophoba, that were then compared to each other and to references from other environments, to gain information on adaptations to the host sponge environment and on possible interactions with the host and within the microbial community. Cyanobacteria are frequent members of the sponge microbial community. My 'mini-metagenome' sequencing project delivered three draft genomes of "Candidatus Synechococcus spongiarum," the cyanobacterial symbiont of A. aerophoba and many more sponges inhabiting the photic zone. The most complete of these genomes was compared to other clades of this symbiont and to closely related free-living cyanobacterial references in a collaborative project published in Burgsdorf I*, Slaby BM* et al. (2015; *shared first authorship). Although the four clades of "Ca. Synechococcus spongiarum" from the four sponge species A. aerophoba, Ircinia variabilis, Theonella swinhoei, and Carteriospongia foliascens were approximately 99\% identical on the level of 16S rRNA gene sequences, they greatly differed on the genomic level. Not only the genome sizes were different from clade to clade, but also the gene content and a number of features including proteins containing the eukaryotic-type domains leucine-rich repeats or tetratricopeptide repeats. On the other hand, the four clades shared a number of features such as ankyrin repeat domain-containing proteins that seemed to be conserved also among other microbial phyla in different sponge hosts and from different geographic locations. A possible novel mechanism for host phagocytosis evasion and phage resistance by means of an altered O antigen of the lipopolysaccharide was identified. To test previous hypotheses on adaptations of sponge-associated bacteria on a broader spectrum of the microbiome of A. aerophoba while also taking a step forward in methodology, I developed a bioinformatic pipeline to combine metagenomic Illumina short-read sequencing data with PacBio long-read data. At the beginning of this project, no pipelines to combine short-read and long-read data for metagenomics were published, and at time of writing, there are still no projects published with a comparable aim of un-targeted assembly, binning and analysis of a metagenome. I tried a variety of assembly programs and settings on a simulated test dataset reflecting the properties of the real metagenomic data. The developed assembly pipeline improved not only the overall assembly statistics, but also the quality of the binned genomes, which was evaluated by comparison to the originally published genome assemblies. The microbiome of A. aerophoba was studied from various angles in the recent years, but only genomes of the candidate phylum Poribacteria and the cyanobacterial sequences from my above-described project have been published to date. By applying my newly developed assembly pipeline to a metagenomic dataset of A. aerophoba consisting of a PacBio long-read dataset and six Illumina short-read datasets optimized for subsequent differential coverage binning, I aimed at sequencing a larger number and greater diversity of symbionts. The results of this project are currently in review by The ISME Journal. The complementation of Illumina short-read with PacBio long-read sequencing data for binning of this highly complex metagenome greatly improved the overall assembly statistics and improved the quality of the binned genomes. Thirty-seven genomes from 13 bacterial phyla and candidate phyla were binned representing the most prominent members of the microbiome of A. aerophoba. A statistical comparison revealed an enrichment of genes involved in restriction modification and toxin-antitoxin systems in most symbiont genomes over selected reference genomes. Both are defense features against incoming foreign DNA, which may be important for sponge symbionts due to the sponge's filtration and phagocytosis activity that exposes the symbionts to high levels of free DNA. Also host colonization and matrix utilization features were significantly enriched. Due to the diversity of the binned symbiont genomes, a within-symbionts genome comparison was possible, that revealed three guilds of symbionts characterized by i) nutritional specialization on the metabolization of carnitine, ii) specialization on sulfated polysaccharides, and iii) apparent nutritional generalism. Both carnitine and sulfated polysaccharides are abundant in the sponge extracellular matrix and therefore available to the sponge symbionts as substrates. In summary, the genomes of the diverse community of symbionts in A. aerophoba were united in their defense features, but specialized regarding their nutritional preferences.},
  subject      = {Metagenom},
  language  = {en}
}
@phdthesis{Ferretti2022,
  author    = {Ferretti, Pamela},
  title     = {\(Clostridioides\) \(difficile\) beyond the disease-centred perspective: Beneficial properties in healthy infants and over-diagnosis in diseased adults identified by species- and SNV-based metagenomic analysis},
  doi       = {10.25972/OPUS-25417},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-254170},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Clostridioides difficile is a bacterial species well known for its ability to cause C. difficile infection (also known as CDI). The investigation of the role of this species in the human gut has been so far dominated by a disease-centred perspective, focused on studying C. difficile in relation to its associated disease. In this context, the first aim of this thesis was to combine publicly available metagenomic data to analyse the microbial composition of stool samples from patients diagnosed with CDI, with a particular focus on identifying a CDI-specific microbial signature. However, similarly to many other bacterial species inhabiting the human gut, C. difficile association with disease is not valid in absolute terms, as C. difficile can be found also among healthy subjects. Further aims of this thesis were to 1) identify potential C. difficile reservoirs by screening a wide range of habitats, hosts, body sites and age groups, and characterize the biotic context associated with C. difficile presence, and 2) investigate C. difficile within-species diversity and its toxigenic potential across different age groups. The first part of the thesis starts with the description of the concepts and definitions used to identify bacterial species and within-species diversity, and then proceeds to provide an overview of the bacterial species at the centre of my investigation, C. difficile. The first Chapter includes a detailed description of the discovery, biology and physiology of this clinically relevant species, followed by an overview of the diagnostic protocols used in the clinical setting to diagnose CDI. The second part of the thesis describes the methodology used to investigate the questions mentioned above, while the third part presents the results of such investigative effort. I first show that C. difficile could be found in only a fraction of the CDI samples and that simultaneous colonization of multiple enteropathogenic species able to cause CDI-like clinical manifestations is more common than previously thought, raising concerns about CDI overdiagnosis. I then show that the CDIassociated gut microbiome is characterized by a specific microbial signature, distinguishable from the community composition associated with non-CDI diarrhea. Beyond the nosocomial and CDI context, I show that while rarely found in adults, C. difficile is a common member of the infant gut microbiome, where its presence is associated with multiple indicators typical of a desirable healthy microbiome development. In addition, I describe C. difficile extensive carriage among asymptomatic subjects, of all age groups and a potentially novel clade of C. difficile identified exclusively among infants. Finally, I discuss the limitations, challenges and future perspectives of my investigation.},
  language  = {en}
}
@phdthesis{Breitenbach2019,
  author    = {Breitenbach, Tim},
  title     = {A mathematical optimal control based approach to pharmacological modulation with regulatory networks and external stimuli},
  doi       = {10.25972/OPUS-17436},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-174368},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2019},
  abstract  = {In this work models for molecular networks consisting of ordinary differential equations are extended by terms that include the interaction of the corresponding molecular network with the environment that the molecular network is embedded in. These terms model the effects of the external stimuli on the molecular network. The usability of this extension is demonstrated with a model of a circadian clock that is extended with certain terms and reproduces data from several experiments at the same time. Once the model including external stimuli is set up, a framework is developed in order to calculate external stimuli that have a predefined desired effect on the molecular network. For this purpose the task of finding appropriate external stimuli is formulated as a mathematical optimal control problem for which in order to solve it a lot of mathematical methods are available. Several methods are discussed and worked out in order to calculate a solution for the corresponding optimal control problem. The application of the framework to find pharmacological intervention points or effective drug combinations is pointed out and discussed. Furthermore the framework is related to existing network analysis tools and their combination for network analysis in order to find dedicated external stimuli is discussed. The total framework is verified with biological examples by comparing the calculated results with data from literature. For this purpose platelet aggregation is investigated based on a corresponding gene regulatory network and associated receptors are detected. Furthermore a transition from one to another type of T-helper cell is analyzed in a tumor setting where missing agents are calculated to induce the corresponding switch in vitro. Next a gene regulatory network of a myocardiocyte is investigated where it is shown how the presented framework can be used to compare different treatment strategies with respect to their beneficial effects and side effects quantitatively. Moreover a constitutively activated signaling pathway, which thus causes maleficent effects, is modeled and intervention points with corresponding treatment strategies are determined that steer the gene regulatory network from a pathological expression pattern to physiological one again.},
  subject      = {Bioinformatik},
  language  = {en}
}
@phdthesis{Thelen2020,
  author    = {Thelen, David},
  title     = {Erstellung eines genregulatorischen Netzwerkes zur Simulation der Entstehung von Zahnhartsubstanz},
  doi       = {10.25972/OPUS-20406},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-204068},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {In this dissertation, the author describes the creation of a basic bioinformatic model of human enamel maturation. Supported by the interactions found in the KEGG Pathway database, we were able to establish a gene regulatory network (GRN) that focuses primarily on the signal transduction pathways apoptosis, cell cycle, hedgehog signaling pathway, MAP kinase pathway, mTOR signaling pathway, Notch signaling pathway, TGF-β signaling pathway and Wnt signaling pathway. We extended this through further verified interactions and implicated the tooth-specific genes AMELX, AMELY, AMBN, ENAM and DSPP. In the subsequent simulation of the network by the simulation tool Jimena, six stable states could be identified. These are examined in more detail and juxtaposed with results of a GEO dataset. The long-term goal is to draw conclusions about the odontogenesis of humans through consistent optimization of the bioinformatics network.},
  subject      = {Universit{\"a}t W{\"u}rzburg. Lehrstuhl f{\"u}r Bioinformatik},
  language  = {de}
}
@phdthesis{Zaum2019,
  author    = {Zaum, Ann-Kathrin},
  title     = {Erweiterte Diagnostik bei neuromuskul{\"a}ren Erkrankungen: vom Genpanel zum Whole Genome Sequencing},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-176314},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2019},
  abstract  = {Muskeln und Nerven bilden eine essentielle funktionelle Einheit f{\"u}r den Bewegungsapparat. Neuromuskul{\"a}re Erkrankungen lassen sich unterteilen in Krankheiten, denen ein muskul{\"a}res Problem zu Grunde liegt, wie zum Beispiel Muskeldystrophien (Muskeldystrophie Duchenne, DMD) und Myopathien (Myofibrill{\"a}re Myopathie, MFM), und in Erkrankungen aufgrund von Nervensch{\"a}digungen, wie zum Beispiel Neuropathien und spastische Paraplegien (SPG). In den vier Teilen der vorliegenden Arbeit konnte sowohl das genetische wie auch das ph{\"a}notypische Spektrum von neuromuskul{\"a}ren Krankheiten erweitert werden. Die daf{\"u}r verwendeten Methoden reichen von der Sanger-Sequenzierung einzelner Gene {\"u}ber Next-Generation Sequencing (NGS)-Panel-Diagnostik, zu Whole Exome Sequencing (WES) und schließlich zu Whole Genome Sequencing (WGS). Zus{\"a}tzlich wurde cDNA zur Detektion von Ver{\"a}nderungen im Transkriptom sequenziert. Im ersten Teil wurde der klinische Ph{\"a}notyp der Seipinopathien erweitert, der jetzt auch amyotrophe Lateralsklerose (ALS) und multifokale motorische Neuropathie (MMN) beinhaltet. Daf{\"u}r wurde eine Panel-Analyse durchgef{\"u}hrt, die eine bekannte Mutation in BSCL2 aufdeckte. Aufgrund des hiermit erweiterten Ph{\"a}notyps der Seipinopathien sollten Mutationen in BSCL2 auch bei anderen Verdachtsdiagnosen, wie ALS oder MMN, ber{\"u}cksichtigt werden. Außerdem wurde gezeigt, dass in der Diagnostik SPGs und Charcot-Marie-Tooth Erkrankungen (CMTs) eine {\"U}berlappung zeigen und bei der Diagnose von Verdachtsf{\"a}llen Gene aus beiden Krankheitsbereichen ber{\"u}cksichtigt werden sollten. Die Suche mit Hilfe eines Ph{\"a}notyp-Filters hat sich dabei als erfolgreich erwiesen. Ungel{\"o}ste F{\"a}lle sollten aber in regelm{\"a}ßigen Abst{\"a}nden neu analysiert werden, da immer neue Gene mit den Ph{\"a}notypen assoziiert werden. Der zweite Teil befasst sich mit der Untersuchung von DMD-Patienten mit bisher ungekl{\"a}rtem Genotyp. Durch eine RNA-Analyse des gesamten DMD-Transkripts wurden tief-intronische Mutationen aufgedeckt, die Einfluss auf das Spleißen haben. Durch diese Mutationen wurden intronische Sequenzen als Pseudoexons in die mRNA eingef{\"u}gt. Diese Mutationsart scheint h{\"a}ufig unter ungekl{\"a}rten DMD-F{\"a}llen zu sein, in unserer Kohorte von 5 DMD-Patienten wurden in zwei F{\"a}llen Pseudoexons entdeckt. Eine Besonderheit besteht darin, dass in der RNA-Analyse immer noch ein Rest Wildtyp-Transkript vorhanden war, wodurch die Patienten vermutlich einen milderen Becker-Ph{\"a}notyp aufweisen. Ein weiterer ungekl{\"a}rter DMD-Fall konnte durch die Sequenzierung der gesamten genomischen Sequenz aufgekl{\"a}rt werden. Es wurde eine perizentrische Inversion entdeckt (46,Y,inv(X)(p21.1q13.3). Dies zeigt, dass WGS auch zur Detektion von großen Strukturvariationen geeignet ist. Im dritten Teil wurden Spleißmutationen untersucht. Spleißmutationen wurden bisher nicht in TMEM5-assoziierter alpha-Dystroglykanopathie beschrieben und somit als neue Mutationsart f{\"u}r diese Erkrankung nachgewiesen. Dabei wurde auch die funktionelle Exostosin-Dom{\"a}ne in TMEM5 best{\"a}tigt. Eine RNA-Untersuchung verschiedener Spleißmutationen zeigte, dass Spleißmutationen h{\"a}ufig zu einem ver{\"a}nderten Transkript f{\"u}hren, auch wenn diese Mutationen weiter von der Konsensussequenz entfernt sind. Spleißmutation sollten daher h{\"a}ufiger in der Diagnostik ber{\"u}cksichtig und {\"u}berpr{\"u}ft werden. Im letzten Teil wurde eine strukturierte Diagnostik von MFM-Patienten beschrieben und neue Kandidaten-Gene f{\"u}r MFM vorgestellt. Es ist zu vermuten, dass auch Mutationen in Genen, die bisher f{\"u}r Kardiomyopathien, Kollagen Typ VI-Myopathien und Neuropathien beschrieben sind, einen MFM-Ph{\"a}notyp verursachen k{\"o}nnen. Diese Ergebnisse erweitern das genetische Spektrum der MFM, was sich auf die Diagnostik dieser Erkrankungen auswirken sollte. Im Laufe dieser Arbeit konnten damit die neuromuskul{\"a}ren Erkrankungen vieler Patienten genetisch gekl{\"a}rt werden. Neue Ph{\"a}notypen und genetische Ursachen wurden beschrieben und es wurde gezeigt, dass sich WGS technisch f{\"u}r die Diagnostik, auch zur Detektion von großen Strukturvarianten, eignet.},
  subject      = {Neuromuskul{\"a}re Krankheit},
  language  = {de}
}
@phdthesis{Yu2019,
  author    = {Yu, Sung-Huan},
  title     = {Development and application of computational tools for RNA-Seq based transcriptome annotations},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-176468},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2019},
  abstract  = {In order to understand the regulation of gene expression in organisms, precise genome annotation is essential. In recent years, RNA-Seq has become a potent method for generating and improving genome annotations. However, this Approach is time consuming and often inconsistently performed when done manually. In particular, the discovery of non-coding RNAs benefits strongly from the application of RNA-Seq data but requires significant amounts of expert knowledge and is labor-intensive. As a part of my doctoral study, I developed a modular tool called ANNOgesic that can detect numerous transcribed genomic features, including non-coding RNAs, based on RNA-Seq data in a precise and automatic fashion with a focus on bacterial and achaeal species. The software performs numerous analyses and generates several visualizations. It can generate annotations of high-Resolution that are hard to produce using traditional annotation tools that are based only on genome sequences. ANNOgesic can detect numerous novel genomic Features like UTR-derived small non-coding RNAs for which no other tool has been developed before. ANNOgesic is available under an open source license (ISCL) at https://github.com/Sung-Huan/ANNOgesic. My doctoral work not only includes the development of ANNOgesic but also its application to annotate the transcriptome of Staphylococcus aureus HG003 - a strain which has been a insightful model in infection biology. Despite its potential as a model, a complete genome sequence and annotations have been lacking for HG003. In order to fill this gap, the annotations of this strain, including sRNAs and their functions, were generated using ANNOgesic by analyzing differential RNA-Seq data from 14 different samples (two media conditions with seven time points), as well as RNA-Seq data generated after transcript fragmentation. ANNOgesic was also applied to annotate several bacterial and archaeal genomes, and as part of this its high performance was demonstrated. In summary, ANNOgesic is a powerful computational tool for RNA-Seq based annotations and has been successfully applied to several species.},
  subject      = {Genom},
  language  = {en}
}
@phdthesis{KaltdorfgebSchuch2019,
  author    = {Kaltdorf [geb. Schuch], Kristin Verena},
  title     = {Mikroskopie, Bildverarbeitung und Automatisierung der Analyse von Vesikeln in \(C.\) \(elegans\) und anderen biologischen Strukturen},
  doi       = {10.25972/OPUS-16062},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-160621},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2019},
  abstract  = {Thema dieser Thesis ist die Analyse sekretorischer Vesikelpools auf Ultrastrukturebene in unterschiedlichen biologischen Systemen. Der erste und zweite Teil dieser Arbeit fokussiert sich auf die Analyse synaptischer Vesikelpools in neuromuskul{\"a}ren Endplatten (NME) im Modellorganismus Caenorhabditis elegans. Dazu wurde Hochdruckgefrierung und Gefriersubstitution angewandt, um eine unverz{\"u}gliche Immobilisation der Nematoden und somit eine Fixierung im nahezu nativen Zustand zu gew{\"a}hrleisten. Anschließend wurden dreidimensionale Aufnahmen der NME mittels Elektronentomographie erstellt. Im ersten Teil dieser Arbeit wurden junge adulte, wildtypische C. elegans Hermaphroditen mit Septin-Mutanten verglichen. Um eine umfassende Analyse mit hoher Stichprobenzahl zu erm{\"o}glichen und eine automatisierte L{\"o}sung f{\"u}r {\"a}hnliche Untersuchungen von Vesikelpools bereit zu stellen wurde eine Software namens 3D ART VeSElecT zur automatisierten Vesikelpoolanalyse entwickelt. Die Software besteht aus zwei Makros f{\"u}r ImageJ, eines f{\"u}r die Registrierung der Vesikel und eines zur Charakterisierung. Diese Trennung in zwei separate Schritte erm{\"o}glicht einen manuellen Verbesserungsschritt zum Entfernen falsch positiver Vesikel. Durch einen Vergleich mit manuell ausgewerteten Daten neuromuskul{\"a}rer Endplatten von larvalen Stadien des Modellorganismus Zebrafisch (Danio rerio) konnte erfolgreich die Funktionalit{\"a}t der Software bewiesen werden. Die Analyse der neuromuskul{\"a}ren Endplatten in C. elegans ergab kleinere synaptische Vesikel und dichtere Vesikelpools in den Septin-Mutanten verglichen mit Wildtypen. Im zweiten Teil der Arbeit wurden neuromuskul{\"a}rer Endplatten junger adulter C. elegans Hermaphroditen mit Dauerlarven verglichen. Das Dauerlarvenstadium ist ein spezielles Stadium, welches durch widrige Umweltbedingungen induziert wird und in dem C. elegans {\"u}ber mehrere Monate ohne Nahrungsaufnahme {\"u}berleben kann. Da hier der Vergleich der Abundanz zweier Vesikelarten, der „clear-core"-Vesikel (CCV) und der „dense-core"-Vesikel (DCV), im Fokus stand wurde eine Erweiterung von 3D ART VeSElecT entwickelt, die einen „Machine-Learning"-Algorithmus zur automatisierten Klassifikation der Vesikel integriert. Durch die Analyse konnten kleinere Vesikel, eine erh{\"o}hte Anzahl von „dense-core"-Vesikeln, sowie eine ver{\"a}nderte Lokalisation der DCV in Dauerlarven festgestellt werden. Im dritten Teil dieser Arbeit wurde untersucht ob die f{\"u}r synaptische Vesikelpools konzipierte Software auch zur Analyse sekretorischer Vesikel in Thrombozyten geeignet ist. Dazu wurden zweidimensionale und dreidimensionale Aufnahmen am Transmissionselektronenmikroskop erstellt und verglichen. Die Untersuchung ergab, dass hierf{\"u}r eine neue Methodik entwickelt werden muss, die zwar auf den vorherigen Arbeiten prinzipiell aufbauen kann, aber den besonderen Herausforderungen der Bilderkennung sekretorischer Vesikel aus Thrombozyten gerecht werden muss.},
  subject      = {Mikroskopie},
  language  = {de}
}
@phdthesis{Nelke2022,
  author    = {Nelke, Johannes},
  title     = {Entwicklung multi-funktioneller TNFRSF Rezeptorspezifischer Antik{\"o}rper-Fusionsproteine mit FcγR-unabh{\"a}ngiger Aktivit{\"a}t},
  doi       = {10.25972/OPUS-27985},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-279855},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Antik{\"o}rper, die gegen eine klinisch relevante Gruppe von Rezeptoren innerhalb der Tumornekrosefaktor-Rezeptor-Superfamilie (TNFRSF) gerichtet sind, darunter CD40 und CD95 (Fas/Apo-1), ben{\"o}tigen ebenfalls eine Bindung an Fc-Gamma-Rezeptoren (FcγRs), um eine starke agonistische Wirkung zu entfalten. Diese FcγR-Abh{\"a}ngigkeit beruht weitgehend auf der bloßen zellul{\"a}ren Verankerung durch die Fc-Dom{\"a}ne des Antik{\"o}rpers und ben{\"o}tigt dabei kein FcγR-Signalling. Ziel dieser Doktorarbeit war es, das agonistische Potenzial von αCD40- und αCD95-Antik{\"o}rpern unabh{\"a}ngig von der Bindung an FcγRs durch die Verankerung an Myelomzellen zu entfalten. Zu diesem Zweck wurden verschiedene Antik{\"o}rpervarianten (IgG1, IgG1-N297A, Fab2) gegen die TNFRSF-Mitglieder CD40 und CD95 genetisch mit einem einzelkettig kodierten B-Zell-aktivierenden Faktor (scBaff) Trimer als C-terminale myelom-spezifische Verankerungsdom{\"a}ne fusioniert, welche die Fc-Dom{\"a}ne-vermittelte FcγR-Bindung ersetzt. Diese bispezifischen Antik{\"o}rper-scBaff-Fusionsproteine wurden in Bindungsstudien und funktionellen Assays mit Tumorzelllinien untersucht, die einen oder mehrere der drei Baff-Rezeptoren exprimieren: BaffR, Transmembran-Aktivator und CAML-Interaktor (TACI) und B-Zell-Reifungsantigen (BCMA). Zellul{\"a}re Bindungsstudien zeigten, dass die Bindungseigenschaften der verschiedenen Dom{\"a}nen innerhalb der Antik{\"o}rper-scBaff-Fusionen gegen{\"u}ber der Zielantigene vollst{\"a}ndig intakt blieben. In Ko-Kulturversuchen von CD40- und CD95-responsiven Zellen mit BaffR-, BCMA- oder TACI-exprimierenden Verankerungszellen zeigten die Antik{\"o}rper-Fusionsproteine einen starken Agonismus, w{\"a}hrend in Ko-Kulturen mit Zellen ohne Expression von Baff-interagierenden Rezeptoren nur eine geringe Rezeptorstimulation beobachtet wurde. Die hier vorgestellten αCD40- und αCD95-Antik{\"o}rper-scBaff-Fusionsproteine zeigen also Myelom-spezifische Aktivit{\"a}t und versprechen im Vergleich zu herk{\"o}mmlichen CD40- und CD95-Agonisten geringere systemische Nebenwirkungen.},
  subject      = {Antigen CD40},
  language  = {de}
}
@phdthesis{LopezArboleda2021,
  author    = {L{\´o}pez Arboleda, William Andr{\´e}s},
  title     = {Global Genetic Heterogeneity in Adaptive Traits},
  doi       = {10.25972/OPUS-24246},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-242468},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {Genome Wide Association Studies (GWAS) have revolutionized the way on how genotype-phenotype relations are assessed. In the 20 years long history of GWAS, multiple challenges from a biological, computational, and statistical point of view have been faced. The implementation of this technique using the model plant species Arabidopsis thaliana, has enabled the detection of many association for multiple traits. Despite a lot of studies implementing GWAS have discovered new candidate genes for multiple traits, different samples are used across studies. In many cases, either globally diverse samples or samples composed of accessions from a geographically restricted area are used. With the aim of comparing GWAS outcomes between populations from different geographic areas, this thesis describes the performance of GWAS in different European samples of A. thaliana. Here, association mapping results for flowering time were compared. Chapter 2 describes the analyses of random resampling from this original sample. The aim was to establish reduced subsamples to later carry out GWAS and compare the outcomes between these subsamples. In Chapter 3, the European sample was split into eight equally-sized local samples representing different geographic regions. Next, GWAS was carried out and an attempt was made to clarify the differences in GWAS outcomes. Chapter 4 contains the results of a collaboration with Prof. Dr. Wolfgang Dr{\"o}ge- Laser, in which my mainly task was the analysis of RNAseq data from A. thaliana plants infected by pathogenic fungi. Finally, Appendix A presents a very short description of my participation in the GHP Project on Access to Care for Cardiometabolic Diseases (HPACC) at the university of Heidelberg.},
  language  = {en}
}
@phdthesis{Seibold2020,
  author    = {Seibold, Marcel},
  title     = {Funktionelle Charakterisierung des Ras family small GTP binding protein RAL im Multiplen Myelom},
  doi       = {10.25972/OPUS-20800},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-208003},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {Die monoklonale Proliferation maligner Plasmazellen im Knochenmark ist charakteristisch f{\"u}r das multiple Myelom (MM) und kann bei Erkrankten zu St{\"o}rungen in der H{\"a}matopoese sowie zu Knochenl{\"a}sionen und Niereninsuffizienz f{\"u}hren. Die Weiterentwicklung und der Einsatz neuer Therapieoptionen konnten das {\"U}berleben von MM-Patienten zwar erheblich verbessern, jedoch gilt diese Krankheit weiterhin als unheilbar. Onkogene Mutationen und das Knochenmarkmikromilieu f{\"u}hren in MM-Zellen zur Entstehung eines onkogenen Signalnetzwerks, das das Wachstum und {\"U}berleben der Zellen aufrechterh{\"a}lt. Mutationen der GTPase RAS treten bei bis zu 50 \% der MM-Patienten auf und tragen zum {\"U}berleben von MM-Zellen bei. Trotz der H{\"a}ufigkeit und Bedeutsamkeit von onkogenem RAS, auch in anderen Tumorentit{\"a}ten, ist die GTPase nach wie vor therapeutisch nicht angreifbar. Die GTPase RAL aus der Familie der RAS-GTPasen wird als Downstream-Effektor von RAS angesehen, der damit ebenfalls zur Aufrechterhaltung des Tumorzell{\"u}berlebens beitragen k{\"o}nnte. In einigen Tumorentit{\"a}ten konnte bisher gezeigt werden, dass eine {\"U}berexpression von RAL in den Tumorzellen vorliegt und die Proliferation und Apoptose von Tumorzellen durch RAL beeinflusst wird. Daher stellte sich die Frage, ob RAL im MM ebenfalls das {\"U}berleben von Tumorzellen beeinflusst und ob eine direkte Verbindung zwischen onkogenem RAS und RAL besteht. In dieser Arbeit wurde die funktionelle Rolle von RAL sowie dessen Zusammenhang mit onkogenem RAS im MM untersucht. Hierbei konnte eine {\"U}berexpression von RAL in MM-Zellen im Vergleich zu MGUS oder normalen Plasmazellen beobachtet werden. In Knockdown-Analysen wurde gezeigt, dass RAL {\"u}berlebensnotwendig f{\"u}r MM-Zellen ist. Dabei wurde in Western Blot-Analysen festgestellt, dass diese {\"U}berlebenseffekte unabh{\"a}ngig von MAPK/ERK-Signaling vermittelt werden. Es konnte teilweise jedoch eine Abh{\"a}ngigkeit von der AKT-Aktivit{\"a}t beobachtet werden. Da RAL-Knockdown Einfluss auf das {\"U}berleben von MM-Zellen hat, wurde eine pharmakologische Inhibition von RAL durch den Inhibitor RBC8 untersucht. RBC8 zeigte in h{\"o}heren Dosen nur bei einem Teil der MM-Zelllinien eine Wirkung auf das Zell{\"u}berleben sowie auf die RAL-Aktivierung. Die Weiterentwicklung potenter RAL-Inhibitoren ist daher f{\"u}r eine klinische Translation einer RAL-Inhibition von großer Bedeutung. Zur Untersuchung des Zusammenhangs zwischen onkogenem RAS und der RAL-Aktivierung wurden RAL-Pulldown-Analysen nach Knockdown von onkogenem RAS durchgef{\"u}hrt. In diesen Experimenten wurde keine Abh{\"a}ngigkeit der RAL-Aktivierung von onkogenem RAS festgestellt. Dar{\"u}ber hinaus zeigten Genexpressionsanalysen nach RAS- bzw. RAL-Knockdown unterschiedliche Genexpressionsprofile. In Massenspektrometrie-Analysen wurden m{\"o}gliche Effektoren, die mit RAL an der Beeinflussung des Zell{\"u}berlebens beteiligt sein k{\"o}nnten, untersucht. Hierbei wurden die Komponenten des Exozyst-Komplexes EXO84 und SEC5 als Interaktionspartner von RAL identifiziert. Nachdem gezeigt wurde, dass RAL ausschlaggebend f{\"u}r das {\"U}berleben von MM-Zellen ist, wurde eine Kombination von RAL-Knockdown mit klinisch relevanten Wirkstoffen analysiert. Diese zeigte bei der Kombination mit PI3K oder AKT-Inhibitoren verst{\"a}rkte Effekte auf das Zell{\"u}berleben der MM-Zellen. Zusammenfassend wurde die Bedeutung von RAL f{\"u}r das {\"U}berleben von Tumorzellen im MM gezeigt und RAL als potentielles therapeutisches Target im MM beschrieben, welches unabh{\"a}ngig von onkogenem RAS reguliert wird.},
  subject      = {Kleine GTP-bindende Proteine},
  language  = {de}
}
@phdthesis{Schweitzer2022,
  author    = {Schweitzer, Sophie Emily},
  title     = {Differentialdiagnostik von Nebennierentumoren mittels massenspektrometrischer Steroidhormon-Untersuchungen und targeted Metabolomics},
  doi       = {10.25972/OPUS-26137},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-261370},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Das Nebennierenrindenkarzinom (ACC) ist eine sehr seltene maligne Erkrankung, die mit einer infausten Prognose vergesellschaftet ist. In Zeiten apparativ gepr{\"a}gter Medizin treten suspekte Befunde der Nebenniere geh{\"a}ufter auf als je zuvor. Diese Nebennierenraumforderungen, die zumeist bei Bildgebungen auffallen, die aus anderen Gr{\"u}nden indiziert waren, werden Nebenniereninzidentalome genannt und sind meist benigne Befunde. Dennoch wird es angesichts dieser steigenden Zahl an Inzidentalomen immer wichtiger, die Entit{\"a}t der gefundenen Raumforderung schnell zu sichern, um die entsprechende Therapie einleiten zu k{\"o}nnen. Somit sollen das Zeitfenster bis zur Krebstherapie verkleinert und gleichsam unn{\"o}tige chirurgische Eingriffe bei Patient*innen mit benignen Nebennierentumoren vermieden werden. Um die diagnostischen Schritte weiter zu verbessern, wurde in der vorliegenden Arbeit eine bioinformatische Regressionsanalyse an Steroidhormonkonzentrationen von ACC-Patient*innen und Kontrollen durchgef{\"u}hrt und der diagnostische Wert der berechneten Steroidsignaturen untersucht. Dabei zeigte sich im geschlechtsspezifischen Modell jeweils eine 6-Steroid-Signatur mit bester Trennsch{\"a}rfe zwischen benignen und malignen NN-Befunden. So konnte mit der 6-Steroid-Signatur in der m{\"a}nnlichen Patientengruppe mit einer Sensitivit{\"a}t von 80\% und Spezifit{\"a}t von 97\%, in der weiblichen Patientinnengruppe mit einer Sensitivit{\"a}t von 78\% und Spezifit{\"a}t von 97\% die Diagnose richtig zugewiesen werden. Im Rahmen der targeted Metabolomics Untersuchung konnten Tumor-assoziierte Stoffwechselalterationen aufgezeigt werden. Eine Plasma-Metabolit-Signatur zur Differenzierung von ACCs und Nebennierenadenomen, welche die g{\"a}ngige Diagnostik bei der Abkl{\"a}rung von unklaren Nebennierentumoren erleichtern k{\"o}nnte, erscheint jedoch angesichts der großen Anzahl an zu bestimmenden Metaboliten - auch unter {\"o}konomischen Gesichtspunkten - zu diesem Zeitpunkt noch nicht mit der Routine-Patient*innenversorgung vereinbar.},
  subject      = {Nebennierenrindenkrebs},
  language  = {de}
}
@phdthesis{Brado2020,
  author    = {Brado, Dominik Alexander},
  title     = {Genetic diversity and baseline drug resistance of South African HIV-1 Integrase sequences prior to the availability of Integrase strand-transfer inhibitors},
  doi       = {10.25972/OPUS-21656},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-216562},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {Background: Integrase strand transfer inhibitors (INSTIs) are the latest addition to the array of antiretroviral compounds used to treat an infection with Human Immunodeficiency Virus (HIV). Due to their high efficacy and increased tolerability, INSTIs have become an integral part of first-line therapy in most high-income countries over the past years. However, little is known about HIV-1's genetic inter- and intra-subtype diversity on the Integrase (IN)-gene and its impact on the emergence of INSTI-resistance. In the absence of a functional cure, long-term efficacy of first-line compounds remains paramount for reducing virological failure and curbing on-going HIV transmissions. South Africa, harbouring more than 20\% of the global HIV burden (7.7 / 37.9 million people), requires international attention in order to globally pursue UNAIDS' (Joint United Nations Programme on HIV/AIDS) 90-90-90 goals and the road to ending the HIV/AIDS (Acquired immunodeficiency syndrome) pandemic by 2030. Methods: In this study, the prevalence of INSTI-resistance associated mutations (RAM) was investigated in a cohort of 169 archived drug-na{\"i}ve blood samples from multiple collection sites around Cape Town, South Africa. Viral RNA was isolated from plasma samples, the integrase fragment amplified by RT-PCR and subsequently sequenced by Sanger-sequencing. Additionally, all publicly available drug-na{\"i}ve, South African IN sequences, isolated before the availability of the first INSTIs in 2007, were retrieved from the Los Alamos HIV sequence database (n=284). All sequences were analysed for RAMs using the Stanford HIV Drug resistance database. The identification of polymorphism in the South African subtype C IN consensus sequence allowed for comparative analyses with global subtype B, as well as subtype C sequences, from countries other than South Africa. Results: The IN gene could be amplified and sequenced in 95/169 samples (56\%). Phylogenetic inference revealed close homology between three sequence-pairs, warranting the exclusion of 3/95 sequences from further analyses. Of the 92 samples used for mutational analyses, 86/92 (93.5\%) belonged to subtype C, 5/92 (5.4\%) to subtype B and 1/92 (1.1\%) to subtype A. The prevalence of major and accessory INSTI RAMs was 0/92 (0\%) and 1/91 (1.1\%), respectively, similar to the observed rates of 8/284 (2.8\%) and 8/284 (2.8\%) in the database sequences (p = 0.2076 and p = 0.6944, Fisher's exact test). Compared to subtype B IN sequences, 15 polymorphisms were significantly enriched in South African subtype C sequences (corrected p<0.0015. Fisher's exact test, Bonferroni post-hoc procedure). Compared to subtype C IN sequences isolated outside South Africa, four polymorphisms were significantly enriched in this study cohort (corrected p<0.0014, Fisher's exact test, Bonferroni post-hoc procedure). The highest prevalence margin was observed for the polymorphism Met50Ile being present in 60.1\% of South African subtype C sequences, compared to 37\% in non-South African subtype C sequences. Conclusions: The low prevalence of major and minor RAMs in all South African Integrase sequences predicts a high susceptibility to INSTIs, however, the presence of natural polymorphisms, in particular Met50Ile, in the majority of sequences warrants further monitoring under therapeutic pressure, as their role in mutational pathways leading to INSTI- resistance is yet to be determined. Additionally, this study revealed the presence of substantial inter- and intra-subtype diversity within the HIV-1 Subtype C IN-gene. These results implicate the need for more research on a regional, potentially patient-specific level, as mutational insights from other diverse backgrounds may not accurately represent the South African context. The implementation of a national pre-treatment INSTI-resistance screening program may provide necessary insights into the development of mutational pathways leading to INSTI-resistance under therapeutic pressure for the South African context and thereby bring South Africa one step closer to achieving UNAIDS 90-90-90 goals and ending the AIDS epidemic by 2030.},
  subject      = {HIV},
  language  = {en}
}
@phdthesis{Grebinyk2021,
  author    = {Grebinyk, Anna},
  title     = {Synergistic Chemo- and Photodynamic Treatment of Cancer Cells with C\(_{60}\) Fullerene Nanocomplexes},
  doi       = {10.25972/OPUS-22207},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-222075},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {Recent progress in nanotechnology has attracted interest to a biomedical application of the carbon nanoparticle C60 fullerene (C60) due to its unique structure and versatile biological activity. In the current study the dual functionality of C60 as a photosensitizer and a drug nanocarrier was exploited to improve the efficiency of chemotherapeutic drugs towards human leukemic cells. Pristine C60 demonstrated time-dependent accumulation with predominant mitochondrial localization in leukemic cells. C60's effects on leukemic cells irradiated with high power single chip LEDs of different wavelengths were assessed to find out the most effective photoexcitation conditions. A C60-based noncovalent nanosized system as a carrier for an optimized drug delivery to the cells was evaluated in accordance to its physicochemical properties and toxic effects. Finally, nanomolar amounts of C60-drug nanocomplexes in 1:1 and 2:1 molar ratios were explored to improve the efficiency of cell treatment, complementing it with photodynamic approach. A proposed treatment strategy was developed for C60 nanocomplexes with the common chemotherapeutic drug Doxorubicin, whose intracellular accumulation and localization, cytotoxicity and mechanism of action were investigated. The developed strategy was revealed to be transferable to an alternative potent anticancer drug - the herbal alkaloid Berberine. Hereafter, a strong synergy of treatments arising from the combination of C60-mediated drug delivery and C60 photoexcitation was revealed. Presented data indicate that a combination of chemo- and photodynamic treatments with C60-drug nanoformulations could provide a promising synergetic approach for cancer treatment.},
  subject      = {cancer},
  language  = {en}
}