@phdthesis{Merscher2024,
  author    = {Merscher, Alma-Sophia},
  title     = {To Fear or not to Fear: Unraveling the (Oculo)motor and Autonomic Components of Defensive States in Humans},
  doi       = {10.25972/OPUS-32791},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-327913},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {Defensive behaviors in response to threats are key factors in maintaining mental and physical health, but their phenomenology remains poorly understood. Prior work reported an inhibition of oculomotor activity in response to avoidable threat in humans that reminded of freezing behaviors in rodents. This notion of a homology between defensive responding in rodents and humans was seconded by concomitant heart rate decrease and skin conductance increase. However, several aspects of this presumed defense state remained ambiguous. For example, it was unclear whether the observed oculomotor inhibition would 1) robustly occur during preparation for threat-avoidance irrespective of task demands, 2) reflect a threat-specific defensive state, 3) be related to an inhibition of somatomotor activity as both motion metrics have been discussed as indicators for freezing behaviors in humans, and 4) manifest in unconstrained settings. We thus embarked on a series of experiments to unravel the robustness, threat-specificity, and validity of previously observed (oculo)motor and autonomic dynamics upon avoidable threat in humans. We provided robust evidence for reduced gaze dispersion, significantly predicting the speed of subsequent motor reactions across a wide range of stimulus contexts. Along this gaze pattern, we found reductions in body movement and showed that the temporal profiles between gaze and body activity were positively related within individuals, suggesting that both metrics reflect the same construct. A simultaneous activation of the parasympathetic (i.e., heart rate deceleration) and sympathetic (i.e., increased skin conductance and pupil dilation) nervous system was present in both defensive and appetitive contexts, suggesting that these autonomic dynamics are not only sensitive to threat but reflecting a more general action-preparatory mechanism. We further gathered evidence for two previously proposed defensive states involving a decrease of (oculo)motor activity in a naturalistic, unconstrained virtual reality environment. Specifically, we observed a state consisting of a cessation of ongoing behaviors and orienting upon relatively distal, ambiguous threat (Attentive Immobility) while an entire immobilization and presumed allocation of attention to the threat stimulus became apparent upon approaching potential threat (Immobility under Attack). Taken together, we provided evidence for specific oculomotor and autonomic dynamics upon increasing levels of threat that may inspire future translational work in rodents and humans on shared mechanisms of threat processing, ultimately supporting the development of novel therapeutic approaches.},
  subject      = {Furcht},
  language  = {en}
}
@phdthesis{Hartmann2024,
  author    = {Hartmann, Oliver},
  title     = {Development of somatic modified mouse models of Non-Small cell lung cancer},
  doi       = {10.25972/OPUS-36340},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-363401},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {In 2020, cancer was the leading cause of death worldwide, accounting for nearly 10 million deaths. Lung cancer was the most common cancer, with 2.21 million cases per year in both sexes. This non-homogeneous disease is further subdivided into small cell lung cancer (SCLC, 15\%) and non-small cell lung cancer (NSCLC, 85\%). By 2023, the American Cancer Society estimates that NSCLC will account for 13\% of all new cancer cases and 21\% of all estimated cancer deaths. In recent years, the treatment of patients with NSCLC has improved with the development of new therapeutic interventions and the advent of targeted and personalised therapies. However, these advances have only marginally improved the five-year survival rate, which remains alarmingly low for patients with NSCLC. This observation highlights the importance of having more appropriate experimental and preclinical models to recapitulate, identify and test novel susceptibilities in NSCLC. In recent years, the Trp53fl/fl KRaslsl-G12D/wt mouse model developed by Tuveson, Jacks and Berns has been the main in vivo model used to study NSCLC. This model mimics ADC and SCC to a certain extent. However, it is limited in its ability to reflect the genetic complexity of NSCLC. In this work, we use CRISPR/Cas9 genome editing with targeted mutagenesis and gene deletions to recapitulate the conditional model. By comparing the Trp53fl/fl KRaslsl- G12D/wt with the CRISPR-mediated Trp53mut KRasG12D, we demonstrated that both showed no differences in histopathological features, morphology, and marker expression. Furthermore, next-generation sequencing revealed a very high similarity in their transcriptional profile. Adeno-associated virus-mediated tumour induction and the modular design of the viral vector allow us to introduce additional mutations in a timely manner. CRISPR-mediated mutation of commonly mutated tumour suppressors in NSCLC reliably recapitulated the phenotypes described in patients in the animal model. Lastly, the dual viral approach could induce the formation of lung tumours not only in constitutive Cas9 expressing animals, but also in wildtype animals. Thus, the implementation of CRISPR genome editing can rapidly advance the repertoire of in vivo models for NSCLC research. Furthermore, it can reduce the necessity of extensive breeding.},
  subject      = {CRISPR/Cas-Methode},
  language  = {en}
}
@phdthesis{Dietrich2024,
  author    = {Dietrich, Oliver},
  title     = {Integrating single-cell multi-omics to decipher host-pathogen interactions},
  doi       = {10.25972/OPUS-36013},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-360138},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {Interactions between host and pathogen determine the development, progression and outcomes of disease. Medicine benefits from better descriptions of these interactions through increased precision of prevention, diagnosis and treatment of diseases. Single-cell genomics is a disruptive technology revolutionizing science by increasing the resolution with which we study diseases. Cell type specific changes in abundance or gene expression are now routinely investigated in diseases. Meanwhile, detecting cellular phenotypes across diseases can connect scientific fields and fuel discovery. Insights acquired through systematic analysis of high resolution data will soon be translated into clinical practice and improve decision making. Therefore, the continued use of single-cell technologies and their application towards clinical samples will improve molecular interpretation, patient stratification, and the prediction of outcomes. In the past years, I was fortunate to participate in interdisciplinary research groups bridging biology, clinical research and data science. I was able to contribute to diverse projects through computational analysis and biological interpretation of sequencing data. Together, we were able to discover cellular phenotypes that influence disease progression and outcomes as well as the response to treatment. Here, I will present four studies that I have conducted in my PhD. First, we performed a case study of relapse from cell-based immunotherapy in Multiple Myeloma. We identified genomic deletion of the epitope as mechanism of immune escape and implicate heterozygosity or monosomy of the genomic locus at baseline as a potential risk factor. Second, we investigated the pathomechanisms of severe COVID-19 at the earliest stage of the COVID- 19 pandemic in Germany in March 2020. We discovered that profibrotic macrophages and lung fibrosis can be caused by SARS-CoV-2 infection. Third, we used a mouse model of chronic infection with Staphylococcus aureus that causes Osteomyelitis similar to the human disease. We were able to identify dysregulated immunometabolism associated with the generation of myeloid-derived suppressor cells (MDSC). Fourth, we investigated Salmonella infection of the human small intestine in an in vitro model and describe features of pathogen invasion and host response. Overall, I have been able to successfully employ single-cell sequencing to discover important aspects of diseases ranging from development to treatment and outcome. I analyzed samples from the clinics, human donors, mouse models and organoid models to investigate different aspects of diseases and managed to integrate data across sample types, technologies and diseases. Based on successful studies, we increased our efforts to combine data from multiple sources to build comprehensive references for the integration of large collections of clinical samples. Our findings exemplify how single-cell sequencing can improve clinical research and highlights the potential of mechanistic discoveries to drive precision medicine.},
  subject      = {Einzelzellanalyse},
  language  = {en}
}
@phdthesis{Nair2024,
  author    = {Nair, Radhika Karal},
  title     = {Structural and biochemical characterization of USP28 inhibition by small molecule inhibitors},
  doi       = {10.25972/OPUS-28174},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-281742},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {Ubiquitination is an important post-translational modification that maintains cellular homeostasis by regulating various biological processes. Deubiquitinases (DUBs) are enzymes that reverse the ubiquitination process by catalyzing the removal of ubiquitin from a substrate. Abnormal expression or function of DUBs is often associated with the onset and progression of various diseases, including cancer. Ubiquitin specific proteases (USPs), which constitute the largest family of DUBs in humans, have become the center of interest as potential targets in cancer therapy as many of them display increased activity or are overexpressed in a range of malignant tumors or the tumor microenvironment. Two related members of the USP family, USP28 and USP25, share high sequence identities but play diverse biological roles. USP28 regulates cell proliferation, oncogenesis, DNA damage repair and apoptosis, whereas USP25 is involved in the anti-viral response, innate immunity and ER-associated degradation in addition to carcinogenesis. USP28 and USP25 also exhibit different oligomeric states - while USP28 is a constitutively active dimer, USP25 assumes an auto-inhibited tetrameric structure. The catalytic domains of both USP28 and USP25 comprise the canonical, globular USP-domain but contain an additional, extended insertion site called USP25/28 catalytic domain inserted domain (UCID) that mediates oligomerization of the proteins. Disruption of the USP25 tetramer leads to the formation of an activated dimeric protein. However, it is still not clear what triggers its activation. Due to their role in maintaining and stabilizing numerous oncoproteins, USP28 and USP25 have emerged as interesting candidates for anti-cancer therapy. Recent advances in small-molecular inhibitor development have led to the discovery of relatively potent inhibitors of USP28 and USP25. This thesis focuses on the structural elucidation of USP28 and the biochemical characterization of USP28/USP25, both in complex with representatives of three out of the eight compound classes reported as USP28/USP25-specific inhibitors. The crystal structures of USP28 in complex with the AZ compounds, Vismodegib and FT206 reveal that all three inhibitor classes bind into the same allosteric pocket distant from the catalytic center, located between the palm and the thumb subdomains (the S1-site). Intriguingly, this binding pocket is identical to the UCID-tip binding interface in the USP25 tetramer, rendering the protein in a locked, inactive conformation. Formation of the binding pocket in USP28 requires a shift in the helix α5, which induces conformational changes and local distortion of the binding channel that typically accommodates the C-terminal tail of Ubiquitin, thus preventing catalysis and abrogating USP28 activity. The key residues of the USP28-inhibitor binding pocket are highly conserved in USP25. Mutagenesis studies of these residues accompanied by biochemical and biophysical assays confirm the proposed mechanism of inhibition and similar binding to USP25. This work provides valuable insights into the inhibition mechanism of the small molecule compounds specifically for the DUBs USP28 and USP25. The USP28-inhibitor complex structures offer a framework to develop more specific and potent inhibitors.},
  subject      = {Unique Selling Proposition},
  language  = {en}
}
@phdthesis{Kuehnemundt2024,
  author    = {K{\"u}hnemundt, Johanna},
  title     = {Defined microphysiologic 3D tumour models with aspects from the tumour microenvironment for the evaluation of cellular immunotherapies},
  doi       = {10.25972/OPUS-27667},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-276674},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {Adoptive cellular immunotherapy with chimeric antigen receptor (CAR) T cells is highly effective in haematological malignancies. This success, however, has not been achieved in solid tumours so far. In contrast to hematologic malignancies, solid tumours include a hostile tumour microenvironment (TME), that poses additional challenges for curative effects and consistent therapeutic outcome. These challenges manifest in physical and immunological barriers that dampen efficacy of the CAR T cells. Preclinical testing of novel cellular immunotherapies is performed mainly in 2D cell culture and animal experiments. While 2D cell culture is an easy technique for efficacy analysis, animal studies reveal information about toxicity in vivo. However, 2D cell culture cannot fully reflect the complexity observed in vivo, because cells are cultured without anchorage to a matrix and only short-term periods are feasible. Animal studies provide a more complex tissue environment, but xenografts often lack human stroma and tumour inoculation occurs mostly ectopically. This emphasises the need for standardisable and scalable tumour models with incorporated TME-aspects, which enable preclinical testing with enhanced predictive value for the clinical outcome of immunotherapies. Therefore, microphysiologic 3D tumour models based on the biological SISmuc (Small Intestinal mucosa and Submucosa) matrix with preserved basement membrane were engaged and improved in this work to serve as a modular and versatile tumour model for efficacy testing of CAR T cells. In order to reflect a variety of cancer entities, TME-aspects, long-term stability and to enhance the read-out options they were further adapted to achieve scalable and standardisable defined microphysiologic 3D tumour models. In this work, novel culture modalities (semi-static, sandwich-culture) were characterised and established that led to an increased and organised tissue generation and long-term stability. Application of the SISmuc matrix was extended to sarcoma and melanoma models and serial bioluminescence intensity (BLI)-based in vivo imaging analysis was established in the microphysiologic 3D tumour models, which represents a time-efficient read-out method for quality evaluation of the models and treatment efficacy analysis, that is independent of the cell phenotype. Isolation of cancer-associated-fibroblasts (CAFs) from lung (tumour) tissue was demonstrated and CAF-implementation further led to stromal-enriched microphysiologic 3D tumour models with in vivo-comparable tissue-like architecture. Presence of CAFs was confirmed by CAF-associated markers (FAP, α-SMA, MMP-2/-9) and cytokines correlated with CAF phenotype, angiogenesis, invasion and immunomodulation. Additionally, an endothelial cell barrier was implemented for static and dynamic culture in a novel bioreactor set-up, which is of particular interest for the analysis of immune cell diapedesis. Studies in microphysiologic 3D Ewing's sarcoma models indicated that sarcoma cells could be sensitised for GD2-targeting CAR T cells. After enhancing the scale of assessment of the microphysiologic 3D tumour models and improving them for CAR T cell testing, the tumour models were used to analyse their sensitivity towards differently designed receptor tyrosine kinase-like orphan receptor 1 (ROR1) CAR T cells and to study the effects of the incorporated TME-aspects on the CAR T cell treatment respectively. ROR1 has been described as a suitable target for several malignancies including triple negative breast cancer (TNBC), as well as lung cancer. Therefore, microphysiologic 3D TNBC and lung cancer models were established. Analysis of ROR1 CAR T cells that differed in costimulation, spacer length and targeting domain, revealed, that the microphysiologic 3D tumour models are highly sensitive and can distinguish optimal from sub-optimal CAR design. Here, higher affinity of the targeting domain induced stronger anti-tumour efficacy and anti-tumour function depended on spacer length, respectively. Long-term treatment for 14 days with ROR1 CAR T cells was demonstrated in dynamic microphysiologic 3D lung tumour models, which did not result in complete tumour cell removal, whereas direct injection of CAR T cells into TNBC and lung tumour models represented an alternative route of application in addition to administration via the medium flow, as it induced strong anti-tumour response. Influence of the incorporated TME-aspects on ROR1 CAR T cell therapy represented by CAF-incorporation and/or TGF-β supplementation was analysed. Presence of TGF-β revealed that the specific TGF-β receptor inhibitor SD-208 improves ROR1 CAR T cell function, because it effectively abrogated immunosuppressive effects of TGF-β in TNBC models. Implementation of CAFs should provide a physical and immunological barrier towards ROR1 CAR T cells, which, however, was not confirmed, as ROR1 CAR T cell function was retained in the presence of CAFs in stromal-enriched microphysiologic 3D lung tumour models. The absence of an effect of CAF enrichment on CAR T cell efficacy suggests a missing component for the development of an immunosuppressive TME, even though immunomodulatory cytokines were detected in co-culture models. Finally, improved gene-edited ROR1 CAR T cells lacking exhaustion-associated genes (PD-1, TGF-β-receptor or both) were challenged by the combination of CAF-enrichment and TGF-β in microphysiologic 3D TNBC models. Results indicated that the absence of PD-1 and TGF-β receptor leads to improved CAR T cells, that induce strong tumour cell lysis, and are protected against the hostile TME. Collectively, the microphysiologic 3D tumour models presented in this work reflect aspects of the hostile TME of solid tumours, engage BLI-based analysis and provide long-term tissue homeostasis. Therefore, they present a defined, scalable, reproducible, standardisable and exportable model for translational research with enhanced predictive value for efficacy testing and candidate selection of cellular immunotherapy, as exemplified by ROR1 CAR T cells.},
  subject      = {Immuntherapie},
  language  = {en}
}
@phdthesis{Yu2024,
  author    = {Yu, Yanying},
  title     = {Applied machine learning for the analysis of CRISPR-Cas systems},
  doi       = {10.25972/OPUS-32021},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-320219},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {Among the defense strategies developed in microbes over millions of years, the innate adaptive CRISPR-Cas immune systems have spread across most of bacteria and archaea. The flexibility, simplicity, and specificity of CRISPR-Cas systems have laid the foundation for CRISPR-based genetic tools. Yet, the efficient administration of CRISPR-based tools demands rational designs to maximize the on-target efficiency and off-target specificity. Specifically, the selection of guide RNAs (gRNAs), which play a crucial role in the target recognition of CRISPR-Cas systems, is non-trivial. Despite the fact that the emerging machine learning techniques provide a solution to aid in gRNA design with prediction algorithms, design rules for many CRISPR-Cas systems are ill-defined, hindering their broader applications. CRISPR interference (CRISPRi), an alternative gene silencing technique using a catalytically dead Cas protein to interfere with transcription, is a leading technique in bacteria for functional interrogation, pathway manipulation, and genome-wide screens. Although the application is promising, it also is hindered by under-investigated design rules. Therefore, in this work, I develop a state-of-art predictive machine learning model for guide silencing efficiency in bacteria leveraging the advantages of feature engineering, data integration, interpretable AI, and automated machine learning. I first systematically investigate the influential factors that attribute to the extent of depletion in multiple CRISPRi genome-wide essentiality screens in Escherichia coli and demonstrate the surprising dominant contribution of gene-specific effects, such as gene expression level. These observations allowed me to segregate the confounding gene-specific effects using a mixed-effect random forest (MERF) model to provide a better estimate of guide efficiency, together with the improvement led by integrating multiple screens. The MERF model outperformed existing tools in an independent high-throughput saturating screen. I next interpret the predictive model to extract the design rules for robust gene silencing, such as the preference for cytosine and disfavoring for guanine and thymine within and around the protospacer adjacent motif (PAM) sequence. I further incorporated the MERF model in a web-based tool that is freely accessible at www.ciao.helmholtz-hiri.de. When comparing the MERF model with existing tools, the performance of the alternative gRNA design tool optimized for CRISPRi in eukaryotes when applied to bacteria was far from satisfying, questioning the robustness of prediction algorithms across organisms. In addition, the CRISPR-Cas systems exhibit diverse mechanisms albeit with some similarities. The captured predictive patterns from one dataset thereby are at risk of poor generalization when applied across organisms and CRISPR-Cas techniques. To fill the gap, the machine learning approach I present here for CRISPRi could serve as a blueprint for the effective development of prediction algorithms for specific organisms or CRISPR-Cas systems of interest. The explicit workflow includes three principle steps: 1) accommodating the feature set for the CRISPR-Cas system or technique; 2) optimizing a machine learning model using automated machine learning; 3) explaining the model using interpretable AI. To illustrate the applicability of the workflow and diversity of results when applied across different bacteria and CRISPR-Cas systems, I have applied this workflow to analyze three distinct CRISPR-Cas genome-wide screens. From the CRISPR base editor essentiality screen in E. coli, I have determined the PAM preference and sequence context in the editing window for efficient editing, such as A at the 2nd position of PAM, A/TT/TG downstream of PAM, and TC at the 4th to 5th position of gRNAs. From the CRISPR-Cas13a screen in E. coli, in addition to the strong correlation with the guide depletion, the target expression level is the strongest predictor in the model, supporting it as a main determinant of the activation of Cas13-induced immunity and better characterizing the CRISPR-Cas13 system. From the CRISPR-Cas12a screen in Klebsiella pneumoniae, I have extracted the design rules for robust antimicrobial activity across K. pneumoniae strains and provided a predictive algorithm for gRNA design, facilitating CRISPR-Cas12a as an alternative technique to tackle antibiotic resistance. Overall, this thesis presents an accurate prediction algorithm for CRISPRi guide efficiency in bacteria, providing insights into the determinants of efficient silencing and guide designs. The systematic exploration has led to a robust machine learning approach for effective model development in other bacteria and CRISPR-Cas systems. Applying the approach in the analysis of independent CRISPR-Cas screens not only sheds light on the design rules but also the mechanisms of the CRISPR-Cas systems. Together, I demonstrate that applied machine learning paves the way to a deeper understanding and a broader application of CRISPR-Cas systems.},
  subject      = {Maschinelles Lernen},
  language  = {en}
}
@phdthesis{Ramirez2024,
  author    = {Ramirez, Yesid A.},
  title     = {Structural basis of ubiquitin recognition and rational design of novel covalent inhibitors targeting Cdu1 from \(Chlamydia\) \(Trachomatis\)},
  doi       = {10.25972/OPUS-19168},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-191683},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {The WHO-designated neglected-disease pathogen Chlamydia trachomatis (CT) is a gram-negative bacterium responsible for the most frequently diagnosed sexually transmitted infection worldwide. CT infections can lead to infertility, blindness and reactive arthritis, among others. CT acts as an infectious agent by its ability to evade the immune response of its host, which includes the impairment of the NF-κB mediated inflammatory response and the Mcl1 pro-apoptotic pathway through its deubiquitylating, deneddylating and transacetylating enzyme ChlaDUB1 (Cdu1). Expression of Cdu1 is also connected to host cell Golgi apparatus fragmentation, a key process in CT infections. Cdu1 may this be an attractive drug target for the treatment of CT infections. However, a lead molecule for the development of novel potent inhibitors has been unknown so far. Sequence alignments and phylogenetic searches allocate Cdu1 in the CE clan of cysteine proteases. The adenovirus protease (adenain) also belongs to this clan and shares a high degree of structural similarity with Cdu1. Taking advantage of topological similarities between the active sites of Cdu1 and adenain, a target-hopping approach on a focused set of adenain inhibitors, developed at Novartis, has been pursued. The thereby identified cyano-pyrimidines represent the first active-site directed covalent reversible inhibitors for Cdu1. High-resolution crystal structures of Cdu1 in complex with the covalently bound cyano-pyrimidines as well as with its substrate ubiquitin have been elucidated. The structural data of this thesis, combined with enzymatic assays and covalent docking studies, provide valuable insights into Cdu1s activity, substrate recognition, active site pocket flexibility and potential hotspots for ligand interaction. Structure-informed drug design permitted the optimization of this cyano-pyrimidine based scaffold towards HJR108, the first molecule of its kind specifically designed to disrupt the function of Cdu1. The structures of potentially more potent and selective Cdu1 inhibitors are herein proposed. This thesis provides important insights towards our understanding of the structural basis of ubiquitin recognition by Cdu1, and the basis to design highly specific Cdu1 covalent inhibitors.},
  subject      = {Ubiquitin},
  language  = {en}
}
@phdthesis{MathewSchmitt2024,
  author    = {Mathew-Schmitt, Sanjana},
  title     = {Development of blood-brain barrier spheroid models based on human induced pluripotent stem cells (hiPSCs) and investigation of shear stress on hiPSC-derived brain capillary endothelial-like cells},
  doi       = {10.25972/OPUS-32247},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-322475},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {A highly regulated microenvironment is essential in maintaining normal functioning of the central nervous system (CNS). The existence of a biological barrier, termed as the blood-brain barrier (BBB), at the blood to brain interface effectively allows for selective passage of substances and pathogens into the brain (Kadry, Noorani et al. 2020). The BBB chiefly serves in protecting the brain from extrinsic toxin entry and pathogen invasions. The BBB is formed mainly by brain capillary endothelial cells (BCECs) which are responsible for excluding ∼ 100\% of large-molecule neurotherapeutics and more than 98\% of all small-molecule drugs from entry into the brain. Minimal BBB transport of major potential CNS drugs allows for attenuated effective treatments for majority of CNS disorders (Appelt-Menzel, Oerter et al. 2020). Animals are generally used as model systems to study neurotherapeutic delivery into the brain, however due to species based disparity, experimental animal models lead to several false positive or false negative drug efficacy predictions thereby being unable to fully predict effects in humans (Ruck, Bittner et al. 2015). An example being that over the last two decades, much of the studies involving animals lead to high failure rates in drug development with ~ 97\% failure in cancers and ~ 99\% failure for Alzheimer´s disease (Pound 2020). Widespead failures in clinical trials associated with neurological disorders have resulted in questions on whether existing preclinical animal models are genuinely reflective of the human condition (Bhalerao, Sivandzade et al. 2020). Apart from high failure rates in humans, the costs for animal testings is extremely high. According to the Organisation for Economic Co-operation and Development (OECD), responsible for determining animal testing guidelines and methodology for government, industry, and independent laboratories the average cost of a single two-generation reproductive animal toxicity study worldwide is 318,295 € and for Europe alone is ~ 285,842 € (Van Norman 2019). Due to these reasons two separate movements exist within the scientific world, one being to improve animal research and the other to promote new approach methodologies with the European government setting 2025 - 2035 as a deadline for gradually disposing the use of animals in pharmaceutical testing (Pound 2020). The discovery of human induced pluripotent stem cell (hiPSC) technology in 2006 (Takahashi and Yamanaka 2006, Takahashi, Tanabe et al. 2007) revolutionized the field of drug discovery in-vitro. HiPSCs can be differentiated into various tissue types that mimic disease phenotypes, thereby offering the possibility to deliver humanized in-vitro test systems. With respect to the BBB, several strategies to differentiate hiPSCs to BCECs (iBCECs) are reported over the years (Appelt-Menzel, Oerter et al. 2020). However, iBCECs are said to possess an epithelial or undifferentiated phenotype causing incongruity in BBB lineage specifications (Lippmann, 7 Azarin et al. 2020). Therefore, in order to identify a reliable differentiation strategy in deriving iBCECs possessing hallmark BBB characteristics, which can be used for downstream applications, the work in this thesis compared two methods, namely the co-differentiation (CD) and the directed differentiation (DD). Briefly, CD mimics a brain like niche environment for iBCEC specification (Lippmann, Al-Ahmad et al. 2014), while DD focuses on induction of the mesoderm followed by iBCEC specification (Qian, Maguire et al. 2017). The results obtained verified that while iBCECs derived via CD, in comparison to human BCEC cell line hCMEC/D3 showed the presence of epithelial transcripts such as E-Cadherin (CDH1), and gene level downregulation of endothelial specific platelet endothelial cell adhesion molecule-1 (PECAM-1) and VE-cadherin (CDH5) but demonstrated higher barrier integrity. The CD strategy essentially presented iBCECs with a mean trans-endothelial electrical resistance (TEER) of ~ 2000 - 2500 Ω*cm2 and low permeability coefficients (PC) of < 0.50 μm/min for small molecule transport of sodium fluorescein (NaF) and characteristic BCEC tight junction (TJ) protein expression of claudin-5 and occludin. Additionally, iBCECs derived via CD did not form tubes in response to angiogenic stimuli. DD on the other hand resulted in iBCECs with similar down regulations in PECAM-1 and CDH5 gene expression. They were additionally characterized by lower barrier integrity, measured by mean TEER of only ~ 250 - 450 Ω*cm2 and high PC of > 5 μm/min in small molecule transport of NaF. Although iBCECs derived via DD formed tubes in response to angiogenic stimuli, they did not show positive protein expression of characteristic BCEC TJs such as claudin-5 and occludin. These results led to the hypothesis that maturity and lineage specification of iBCECs could be improved by incorporating in-vivo like characteristics in-vitro, such as direct co-culture with neurovascular unit (NVU) cell types via spheroid formation and by induction of shear stress and fluid flow. In comparison to standard iBCEC transwell mono-cultures, BBB spheroids showed enhanced transcript expression of PECAM-1 and reduced expression of epithelial markers such as CDH1 and claudin-6 (CLDN6). BBB spheroids showed classical BCEC-like ultrastructure that was identified by TJ particles on the protoplasmic face (P-face) and exoplasmic face (E-face) of the plasma membrane. TJ strands were organized as particles and particle-free grooves on the E-face, while on the P-face, partly beaded particles and partly continuous strands were identified. BBB spheroids also showed positive protein expression of claudin-5, VE-cadherin, PECAM-1, glucose transporter-1 (GLUT-1), P-glycoprotein (P-gp) and transferrin receptor-1 (Tfr-1). BBB spheroids demonstrated higher relative impedance percentages in comparison to spheroids without an iBCEC barrier. Barrier integrity assessments additionally corresponded with lower permeability to small molecule tracer NaF, with spheroids containing iBCECs showing higher relative fluorescence unit percentages (RFU\%) of ~ 90\% in apical compartments, compared to ~ 80\% in spheroids without iBCECs. In summary, direct cellular contacts in the complex spheroid model resulted in enhanced maturation of iBCECs. 8 A bioreactor system was used to further assess the effect of shear stress. This system enabled inclusion of fluidic flow and shear stress conditions in addition to non-invasive barrier integrity measurements (Choi, Mathew et al. 2022). iBCECs were cultured for a total of seven days post differentiation (d17) within the bioreactor and barrier integrity was non-invasively monitored. Until d17 of long-term culture, TEER values of iBCECs steadily dropped from ~ 1800 Ω*cm2 ~ 400 Ω*cm2 under static conditions and from ~ 2500 Ω*cm2 to ~ 250 Ω*cm2 under dynamic conditions. Transcriptomic analyses, morphometric analyses and protein marker expression showed enhanced maturation of iBECs under long-term culture and dynamic flow. Importantly, on d10 claudin-5 was expressed mostly in the cytoplasm with only ~ 5\% iBCECs showing continuous staining at the cell borders. With increase in culture duration, iBCECs at d17 of static culture showed ~ 18\% of cells having continuous cell border expression, while dynamic conditions showed upto ~ 30\% of cells with continuous cell-cell border expression patterns. Similarly, ~ 33\% of cells showed cell-cell border expression of occludin on d10 with increases to ~ 55\% under d17 static and up to ~ 65\% under d17 dynamic conditions, thereby indicating iBCEC maturation. In conclusion, the data presented within this thesis demonstrates the maturation of iBCECs in BBB spheroids, obtained via direct cellular contacts and by the application of flow and shear stress. Both established novel models need to be further validated for pharmaceutical drug applications together with in-vitro-in-vivo correlations in order to exploit their full potential.},
  subject      = {Blut-Hirn-Schranke},
  language  = {en}
}
@phdthesis{Diehl2024,
  author    = {Diehl, Janina Marie Christin},
  title     = {Ecology and evolution of symbiont management in ambrosia beetles},
  doi       = {10.25972/OPUS-32121},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-321213},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {The relationship between a farmer and their cultivated crops in agriculture is multifaceted, with pathogens affecting both the farmer and crop, and weeds that take advantage of resources provided by farmers. For my doctoral thesis, I aimed to gain a comprehensive understanding of the ecology and symbiosis of fungus farming ambrosia beetles. Through my research, I discovered that the microbial composition of fungus gardens, particularly the mutualists, is significantly influenced by the presence of both adults and larvae. The recognition of both beneficial and harmful symbionts is crucial for the success of ambrosia beetles, who respond differently depending on their life stage and the microbial species they encounter, which can contribute to the division of labour among family groups. The presence of antagonists and pathogens in the fungus garden depends on habitat and substrate quality, and beetle response to their introduction results in behavioural and developmental changes. Individual and social immunity measures, as well as changes in bacterial and fungal communities, were detected as a result of pathogen introduction. Additionally, the ability of ambrosia beetles to establish two nutritional fungal species depends on several factors. These insects must strike a balance between their essential functions and adapt to the constantly changing ecological and social conditions, which demonstrates their adaptive flexibility. However, interpreting data from laboratory studies should be approached with caution, as the natural environment allows for more flexibility and the potential for other beneficial symbionts to become more prominent if required. To aid in my research, I designed primers that use the 'fungal large subunit' (LSU) as genetic marker to identify and differentiate mutualistic and antagonistic fungi in X. saxesenii. The primers were able to distinguish closely related species of the Ophiostomataceae and other fungal symbionts. This allowed me to associate the abundance of key fungal taxa with factors such as the presence of beetles, the nest's age and condition, and the various developmental stages present. My primers are a valuable tool for understanding fungal communities, including their composition and the identification of previously unknown functional symbionts. However, some aspects should be approached with caution due to the exclusion of non-amplified taxa in the relative fungal community compositions.},
  subject      = {{\"O}kologie},
  language  = {en}
}