@phdthesis{Ruecker2021,
  author    = {R{\"u}cker, Viktoria},
  title     = {Time trends and determinants of stroke mortality in Germany},
  doi       = {10.25972/OPUS-23311},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-233116},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {In several countries, a decline in mortality, case-fatality and recurrence rates of stroke was observed. However, studies investigating sex-specific and subtype-specific (pathological and etiological) time trends in stroke mortality, case-fatality and recurrence rates are scarce, especially in Germany. The decline in ischemic stroke mortality and case-fatality might be associated with the high quality of acute care of ischemic stroke, but the exact determinants of early outcome remains unknown for Germany. Therefore, as first step of this thesis, we investigated the time trends of subtype- and sex-specific age- standardized stroke mortality rates in Germany from 1998 to 2015, by applying joinpoint regression on official causes of death statistics, provided by the Federal Statistical Office. Furthermore, a regional comparison of the time trends in stroke mortality between East and West was conducted. In the second step, time trends in case-fatality and stroke recurrence rates were analyzed using data from a population- based stroke register in Germany between 1996 and 2015. The analysis was stratified by sex and etiological subtype of ischemic stroke. In the third step, quality of stroke care and the association between adherence to measures of quality of acute ischemic stroke care and in-hospital mortality was estimated based on data from nine regional hospital-based stroke registers in Germany from the years 2015 and 2016. We showed that in Germany, age-standardized stroke mortality declined by over 50\% from 1998 to 2015 both, in women and men. Stratified by the pathological subtypes of stroke, the decrease in mortality was larger in ischemic stroke compared to hemorrhagic stroke. Different patterns in the time trends of stroke were observed for stroke subtypes, regions in Germany (former Eastern part of Germany (EG), former Western part of Germany (WG)) and sex, but in all strata a decline was found. By applying joinpoint regression, the number of changes in time trend differed between the regions and up to three changes in the trend in ischemic stroke mortality were detected. Trends in hemorrhagic stroke were in parallel between the regions with up to one change (in women) in joinpoint regression. Comparing the regions, stroke mortality was higher in EG compared to WG throughout the whole observed time period, however the differences between the regions started to diminish from 2007 onwards. Further it was found that, based on the population-based Erlangen Stroke Project (ESPro), case-fatality and recurrence rates in ischemic stroke patients are still high in Germany. 46\% died and 20\% got a recurrent stroke within the first five years after stroke. Case-fatality rates declined statistically significant from 1996 to 2015 across all ischemic stroke patients and all etiological subtypes of ischemic stroke. Based on Cox regression no statistically significant decrease in stroke recurrence was observed. Based on the pooled data of nine regional hospital-based stroke registers from the years 2015 and 2016 covering about 80\% of all hospitalized stroke patients in Germany, a high quality of care of acute ischemic stroke patients, measured via 11 evidence-based quality indicators (QI) of process of care, was observed. Across all registers, most QI reached the predefined target values for good quality of stroke care. 9 out of 11 QI showed a significant association with 7-day in-hospital mortality. An inverse linear association between overall adherence to QI and 7-day in-hospital mortality was observed. In conclusion, stroke mortality and case-fatality showed a favorable development over time in Germany, which might partly be due to improvements in acute treatment. This is supported by the association between overall adherence to quality of care and in-hospital mortality. However, there might be room for improvements in long-term secondary prevention, as no clear reduction in recurrence rates was observed.},
  subject      = {Schlaganfall},
  language  = {en}
}
@phdthesis{Ye2022,
  author    = {Ye, Mingyu},
  title     = {Immunotherapy with Vaccinia virus co-expressing tumor-associated antigens and mouse IL-2 cytokine in mice with mammary cancer},
  doi       = {10.25972/OPUS-25309},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-253095},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Interleukin 2 (IL-2) was the first cytokine applied for cancer treatment in human history. It has been approved as monotherapy for renal cell carcinoma and melanoma by the FDA and does mediate the regression of the tumors in patients. One of the possible mechanisms is that the administration of IL-2 led to T lymphocytes expansion, including CD4+ and CD8+ T cells. In addition, a recent study demonstrated that antigen-specific T cells could also be expanded through the induction of IL-2, which plays a crucial role in mediating tumor regression. However, despite the long-term and extensive use of IL-2 in the clinic, the ratio of patients who get a complete response was still low, and only about one-fifth of patients showed objective tumor regression. Therefore, the function of IL-2 in cancer treatment should continue to be optimized and investigated. A study by Franz O. Smith et al. has shown that the combination treatment of IL-2 and tumor-associated antigen vaccine has a strong trend to increased objective responses compared to patients with melanoma receiving IL-2 alone. Peptide vaccines are anti-cancer vaccines able to induce a powerful tumor antigenspecific immune response capable of eradicating the tumors. According to the type of antigens, peptide vaccines can be classified into two distinct categories: Tumor-associated antigens (TAA) vaccine and tumor-specific neoantigens (TSA) vaccine. Currently, Peptide vaccines are mainly investigated in phase I and phase II clinical trials of human cancer patients with various advanced cancers such as lung cancer, gastrointestinal tumors, and breast cancers. Vaccinia virus (VACV) is one of the safest viral vectors, which has been wildly used in cancer treatment and pathogen prevention. As an oncolytic vector, VACV can carry multiple large foreign genes, which enable the virus to introduce diagnostic and therapeutic agents without dramatically reducing the viral replication. Meanwhile, the recombinant vaccinia virus (rVACV) can be easily generated by homologous recombination. Here, we used the vaccinia virus as the therapeutic cancer vector, expressing mouse Interleukin 2 (IL-2) and tumor-associated antigens simultaneously to investigate the combined effect of anti-tumor immune response in the 4T1 mouse tumor model. As expected, the VACV driven mIL-2 expression remarkably increased both CD4+ and CD8+ populations in vivo, and the virus-expressed tumor-associated peptides successfully elicited theantigen-specific T cell response to inhibit the growth of tumors. Furthermore, the experiments with tumor-bearing animals showed that the mIL-2 plus tumor antigens expressing VACV vector gave a better anti-cancer response than the mIL-2 alone expressing vector. The combinations did significantly more inhibit tumor growth than mIL-2 treatment alone. Moreover, the results confirmed our previous unpublished data that the mIL-2 expression driven by synthetic early/late promoter in the Lister strain VACV could enhance the tumor regression in the 4T1 mouse model.},
  language  = {en}
}
@misc{Selig2007,
  type      = {Master Thesis},
  author    = {Selig, Christian},
  title     = {The ITS2 Database - Application and Extension},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-23895},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2007},
  abstract  = {Der internal transcribed spacer 2 (ITS2) des ribosomalen Genrepeats ist ein zunehmend wichtiger phylogenetischer Marker, dessen RNA-Sekund{\"a}rstruktur innerhalb vieler eukaryontischer Organismen konserviert ist. Die ITS2-Datenbank hat zum Ziel, eine umfangreiche Ressource f{\"u}r ITS2-Sequenzen und -Sekund{\"a}rstrukturen auf Basis direkter thermodynamischer als auch homologiemodellierter RNA-Faltung zu sein. Ergebnisse: (a) Eine komplette Neufassung der urspr{\"u}nglichen die ITS2-Datenbank generierenden Skripte, angewandt auf einen aktuellen NCBI-Datensatz, deckte mehr als 65.000 ITS2-Strukturen auf. Dies verdoppelt den Inhalt der urspr{\"u}nglichen Datenbank und verdreifacht ihn, wenn partielle Strukturen mit einbezogen werden. (b) Die Endbenutzer-Schnittstelle wurde neu geschrieben, erweitert und ist jetzt in der Lage, benutzerdefinierte Homologiemodellierungen durchzuf{\"u}hren. (c) Andere m{\"o}glichen RNA-Strukturaufkl{\"a}rungsmethoden (suboptimales und formenbasiertes Falten) sind hilfreich, k{\"o}nnen aber Homologiemodellierung nicht ersetzen. (d) Ein Anwendungsfall der ITS2-Datenbank in Zusammenhang mit anderen am Lehrstuhl entwickelten Werkzeugen gab Einblick in die Verwendung von ITS2 f{\"u}r molekulare Phylogenie.},
  subject      = {Phylogenie},
  language  = {en}
}
@phdthesis{OkgebHofmann2014,
  author    = {Ok [geb. Hofmann], Claudia Barbara},
  title     = {Isoform-spezifische Analyse der PI3-Kinase (Klasse I) im Multiplen Myelom},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-108466},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2014},
  abstract  = {Das Multiple Myelom (MM) ist eine unheilbare Erkrankung, die aus einer klonalen Proliferation maligner Plasmazellen im Knochenmark hervorgeht. Dabei liegt ein komplexes Signalnetzwerk vor, das zum {\"U}berleben und Wachstum der MM-Zellen f{\"u}hrt. Das MM ist durch eine enorme genetische und ph{\"a}notypische Heterogenit{\"a}t gekennzeichnet. Die konstitutive Aktivierung des PI3K/Akt-Signalwegs spielt bei ungef{\"a}hr der H{\"a}lfte der Patienten mit MM eine wichtige Rolle f{\"u}r das {\"U}berleben der MM-Zellen und ist daher ein potentieller therapeutischer Ansatzpunkt. Isoform-spezifische Untersuchungen der katalytischen Untereinheiten der Klasse I-PI3K (p110α, p110β, p110γ, p110δ) sollten zur Erkenntnis f{\"u}hren, welche dieser Isoformen f{\"u}r das MM Zell{\"u}berleben wichtig sind, um spezifischere Behandlungen mit m{\"o}glichst geringen Nebenwirkungen zu erlauben. Daf{\"u}r wurden zun{\"a}chst Isoform-spezifische Knockdown-Experimente mit MM Zelllinien durchgef{\"u}hrt und sowohl deren {\"U}berleben als auch die Aktivierung der nachgeschalteten Komponenten im PI3K Signalweg untersucht. Zur Verifizierung der Ergebnisse wurden sowohl MM Zelllinien als auch Prim{\"a}rzellen mit Isoform-spezifischen PI3K-Inhibitoren behandelt (BYL 719 f{\"u}r p110α, TGX 221 f{\"u}r p110β, CAY10505 f{\"u}r p110γ und CAL 101 f{\"u}r p110δ) und in gleicher Weise untersucht. In beiden Versuchsans{\"a}tzen stellte sich die katalytische Untereinheit p110α als wichtigste Isoform f{\"u}r das {\"U}berleben von MM Zellen mit konstitutiv phosphoryliertem Akt Signal heraus. Weder der Knockdown noch die pharmakologische Inhibition der anderen drei Isoformen (p110β, p110γ, p110δ) f{\"u}hrten in MM-Zelllinien zur Beeintr{\"a}chtigung des Zell{\"u}berlebens. Auch reagierten die Prim{\"a}rzellen von MM Patienten gr{\"o}ßtenteils nicht mit Apoptose auf eine Behandlung mit TGX 221, CAY10505 oder CAL 101. Aufbauend auf der postulierten Bedeutung von p110α, wurde der daf{\"u}r spezifische Inhibitor BYL 719 mit bereits klinisch etablierten Therapeutika in Kombination verwendet, woraus eine im Vergleich zur Einzelbehandlung verst{\"a}rkte Apoptose resultierte. Insgesamt deuten diese Daten darauf hin, dass PI3K/p110α eine therapeutisch nutzbare Zielstruktur zur Behandlung des Multiplen Myeloms darstellt. Daher scheinen weitergehende pr{\"a}-klinische Studien mit p110α Inhibitoren erfolgversprechend.},
  subject      = {Phosphatidylinositolkinase <Phosphatidylinositol-3-Kinase>},
  language  = {de}
}
@phdthesis{WeyhmuellerReboredo2014,
  author    = {Weyhm{\"u}ller Reboredo, Jenny},
  title     = {Tissue Engineering eines Meniskus - Vom Biomaterial zum Implantat},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-108477},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2014},
  abstract  = {Der Meniskus, ein scheibenf{\"o}rmiger Faserknorpel, spielt im Kniegelenk eine bedeutende Rolle, weil er Kr{\"a}fte und Druck im Kniegelenk gleichm{\"a}ßig verteilt, St{\"o}ße d{\"a}mpft sowie der Kraft{\"u}bertragung und Stabilisierung dient. Durch die Entfernung des Gewebes, der sogenannten Totalmeniskektomie, nach einer Meniskusverletzung oder einem Riss, ver{\"a}ndern sich die mechanischen Eigenschaften des Gelenks stark und verursachen durch die erh{\"o}hte Belastung der Gelenkfl{\"a}chen Arthrose. Arthrose ist weltweit die H{\"a}ufigste aller Gelenkerkrankungen. Der Erhalt der k{\"o}rperlichen Leistungsf{\"a}higkeit und Mobilit{\"a}t bis ins hohe Alter sowie die Bewahrung der Gesundheit von Herz-Kreislauf- und Stoffwechselorganen z{\"a}hlen aufgrund des demografischen Wandels zu den großen medizinischen Herausforderungen. Die Erkrankung des muskuloskelettalen Systems stellte 2010 im Bundesgebiet die am h{\"a}ufigsten vorkommende Krankheitsart dar. W{\"a}hrend Risse in den {\"a}ußeren Teilen des Meniskus aufgrund des Anschlusses an das Blutgef{\"a}ßsystem spontan heilen k{\"o}nnen, k{\"o}nnen sie dies in tieferen Zonen nicht. Durch die begrenzte Heilungsf{\"a}higkeit des Knorpels bleibt langfristig der Einsatz eines Ersatzgewebes die einzige therapeutische Alternative. In der vorliegenden Arbeit wurde als therapeutische Alternative erfolgreich ein vaskularisiertes Meniskusersatzgewebe mit Methoden des Tissue Engineering entwickelt. Es soll in Zukunft als Implantat Verwendung finden. Tissue Engineering ist ein interdisziplin{\"a}res Forschungsfeld, in dem Gewebe außerhalb des K{\"o}rpers generiert werden. Schl{\"u}sselkomponenten sind Zellen, die aus einem Organismus isoliert werden, und Tr{\"a}gerstrukturen, die mit Zellen besiedelt werden. Die Biomaterialien geben den Zellen eine geeignete Umgebung, die die Extrazellul{\"a}re Matrix (EZM) ersetzen soll, um die Funktion der Zellen beizubehalten, eigene Matrix zu bilden. Zum Erhalt eines funktionelles Gewebes werden oftmals dynamische Kultursysteme, sogenannte Bioreaktoren, verwendet, die nat{\"u}rliche Stimuli wie beispielsweise den Blutfluss oder mechanische Kompressionskr{\"a}fte w{\"a}hrend der in vitro Reifungsphase des Gewebes, zur Verf{\"u}gung stellen. Das Gewebekonstrukt wurde auf Basis nat{\"u}rlicher Biomaterialien aufgebaut, unter Verwendung ausschließlich prim{\"a}rer Zellen, die sp{\"a}ter direkt vom Patienten gewonnen werden k{\"o}nnen und damit Abstoßungsreaktionen auszuschließen sind. Da der Meniskus teilvaskularisiert ist und die in vivo Situation des Gewebes bestm{\"o}glich nachgebaut werden sollte, wurden Konstrukte mit mehreren Zelltypen, sogenannte Ko-Kulturen aufgebaut. Neben mikrovaskul{\"a}ren Endothelzellen (mvEZ) und Meniskuszellen (MZ) erfolgten Versuche mit mesenchymalen Stammzellen (MSZ). Zur Bereitstellung einer zelltypspezifischen Matrixumgebung, diente den mvEZ ein St{\"u}ck Schweinedarm mit azellularisierten Gef{\"a}ßstrukturen (BioVaSc®) und den MZ diente eine geeig- nete Kollagenmatrix (Kollagen Typ I Hydrogel). Die Validierung und Charakterisierung des aufgebauten 3D Meniskuskonstrukts, welches in einem dynamischen Perfusions-Bioreaktorsystem kultiviert wurde, erfolgte mit knorpeltypischen Matrixmarkern wie Aggrekan, Kollagen Typ I, II und X sowie mit den Transkriptionsfaktoren RunX2 und Sox9, die in der Knorpelentstehung von großer Bedeutung sind. Zus{\"a}tzlich erfolgten Auswertungen mit endothelzellspezifischen Markern wie vWF, CD31 und VEGF, um die Vaskularisierung im Konstrukt nachzuweisen. Analysiert wurden auch die Zellvitalit{\"a}ten in den Konstrukten. Aufgrund einer nur geringen Verf{\"u}gbarkeit von MZ wurden Kulturans{\"a}tze mit alternativen Zellquellen, den MSZ, durchgef{\"u}hrt. Daf{\"u}r erfolgte zun{\"a}chst deren Isolation und Charakterisierung und die Auswahl einer geeigneten 3D Kollagenmatrix. Die beste Zellintegration der MSZ konnte auf einer eigens hergestellten elektrogesponnenen Matrix beobachtet werden. Die Matrix besteht aus zwei unterschiedlichen Kollagentypen, die auf insgesamt f{\"u}nf Schichten verteilt sind. Die Fasern besitzen weiter unterschiedliche Ausrichtungen. W{\"a}hrend die Kollagen Typ I Fasern in den {\"a}ußeren Schichten keiner Ausrichtung zugeh{\"o}ren, liegen die Kollagen Typ II Fasern in der mittleren Schicht parallel zueinander. Der native Meniskus war f{\"u}r den Aufbau einer solchen Kollagen-Tr{\"a}gerstruktur das nat{\"u}rliche Vorbild, das imitiert werden sollte. Nach der Besiedelung der Matrix mit MSZ, konnte eine Integration der Zellen bereits nach vier Tagen bis in die Mittelschicht sowie eine spontane chondrogene Differenzierung nach einer insgesamt dreiw{\"o}chigen Kultivierung gezeigt werden. Das Biomaterial stellt in Hinblick auf die Differenzierung der Zellen ohne die Zugabe von Wachstumsfaktoren eine relevante Bedeutung f{\"u}r klinische Studien dar. Zur Kultivierung des 3D Meniskuskonstrukts wurde ein Bioreaktor entwickelt. Mit diesem k{\"o}nnen neben Perfusion der Gef{\"a}ßsysteme zus{\"a}tzlich Kompressionskr{\"a}fte sowie Scherspannungen auf das Ersatzgewebe appliziert und die Differenzierung von MZ bzw. MSZ w{\"a}hrend der in vitro Kultur {\"u}ber mechanische Reize stimuliert werden. Ein anderes Anwendungsfeld f{\"u}r den neuartigen Bioreaktor ist seine Verwendung als Pr{\"u}ftestsystem f{\"u}r die Optimierung und Qualit{\"a}tssicherung von Gewebekonstrukten.},
  subject      = {Tissue Engineering},
  language  = {de}
}
@phdthesis{Schaefer2014,
  author    = {Schaefer, Frauke},
  title     = {Diagnosis and therapy of malaria under the conditions of a developing country - the example of Burkina Faso},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-102863},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2014},
  abstract  = {Malaria is a challenging infection with increasing and wide-spread treatment failure risk due to resistance. With a estimated death toll of 1-3 Million per year, most cases of Malaria affect children under the age of five years in Sub-Saharan Africa. In this thesis, I analyse the current status of malaria control (focussing on diagnosis and therapy) in Burkina Faso to show how this disease burdens public health in endemic countries and to identify possible approaches to improvement. MB is discussed as a therapeutic option under these circumstances. Burkina Faso is used as a representative example for a country in Sub-Saharan Africa with high endemicity for malaria and is here portrayed, its health system characterised and discussed under socioeconomic aspects. More than half of this country's population live in absolute poverty. The burden that malaria, especially treatment cost, poses on these people cannot be under-estimated. A retrospective study of case files from the university pediatric hospital in Burkina Faso's capital, Ouagadougou, shows that the case load is huge, and especially the specific diagnosis of severe malaria is difficult to apply in the hospital's daily routine. Treatment policy as proposed by WHO is not satisfactorily implemented neither in home treatment nor in health services, as data for pretreatment clearly show. In the face of growing resistance in malaria parasites, pharmacological combination therapies are important. Artemisinins currently are the last resort of malaria therapy. As I show with homology models, even this golden bullet is not beyond resistance development. Inconsidered mass use has rendered other drugs virtually useless before. Artemisinins should thus be protected similar to reserve antibiotics against multi-resistant bacteria. There is accumulating evidence that MB is an effective drug against malaria. Here the biological effects of both MB alone and in combination therapy is explored via modeling and experimental data. Several different lines of MB attack on Plasmodium redox defense were identified by analysis of the network effects. Next, CQ resistance based on Pfmdr1 and PfCRT transporters as well as SP resistance were modeled in silico. Further modeling shows that MB has a favorable synergism on antimalarial network effects with these commonly used antimalarial drugs, given their correct application. Also from the economic point of view MB shows great potential: in terms of production price, it can be compared to CQ, which could help to diminuish the costs of malaria treatment to affordable ranges for those most affected and struk by poverty. Malaria control is feasible, but suboptimal diagnosis and treatment are often hindering the achievment of this goal. In order to achieve malaria control, more effort has to be made to implement better adjusted and available primary treatment strategies for uncomplicated malaria that are highly standardised. Unfortunately, campaigns against malaria are chronically underfinanced. In order to maximize the effect of available funds, a cheap treatment option is most important, especially as pharmaceuticals represent the biggest single matter of expense in the fight against malaria.},
  subject      = {Malaria},
  language  = {en}
}
@phdthesis{ZeeshangebMajeed2014,
  author    = {Zeeshan [geb. Majeed], Saman},
  title     = {Implementation of Bioinformatics Methods for miRNA and Metabolic Modelling},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-102900},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2014},
  abstract  = {Dynamic interactions and their changes are at the forefront of current research in bioinformatics and systems biology. This thesis focusses on two particular dynamic aspects of cellular adaptation: miRNA and metabolites. miRNAs have an established role in hematopoiesis and megakaryocytopoiesis, and platelet miRNAs have potential as tools for understanding basic mechanisms of platelet function. The thesis highlights the possible role of miRNAs in regulating protein translation in platelet lifespan with relevance to platelet apoptosis and identifying involved pathways and potential key regulatory molecules. Furthermore, corresponding miRNA/target mRNAs in murine platelets are identified. Moreover, key miRNAs involved in aortic aneurysm are predicted by similar techniques. The clinical relevance of miRNAs as biomarkers, targets, resulting later translational therapeutics, and tissue specific restrictors of genes expression in cardiovascular diseases is also discussed. In a second part of thesis we highlight the importance of scientific software solution development in metabolic modelling and how it can be helpful in bioinformatics tool development along with software feature analysis such as performed on metabolic flux analysis applications. We proposed the "Butterfly" approach to implement efficiently scientific software programming. Using this approach, software applications were developed for quantitative Metabolic Flux Analysis and efficient Mass Isotopomer Distribution Analysis (MIDA) in metabolic modelling as well as for data management. "LS-MIDA" allows easy and efficient MIDA analysis and, with a more powerful algorithm and database, the software "Isotopo" allows efficient analysis of metabolic flows, for instance in pathogenic bacteria (Salmonella, Listeria). All three approaches have been published (see Appendices).},
  subject      = {miRNS},
  language  = {en}
}
@phdthesis{Morowski2014,
  author    = {Morowski, Martina},
  title     = {Relevance of platelet count and ITAM-signalling pathway in murine models of haemostasis, thrombosis and thrombo-inflammation},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-99193},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2014},
  abstract  = {Platelets are important players in haemostasis and their activation is essential to limit post-traumatic blood loss upon vessel injury. On the other hand, pathological platelet activation may lead to thrombosis resulting in myocardial infarction and stroke. Platelet activation and subsequent thrombus formation are, therefore, tightly regulated and require a well-defined interplay of platelet surface receptors, intracellular signalling molecules, cytoskeletal rearrangements and the activation of the coagulation cascade. In vivo thrombosis and haemostasis models mimic thrombus formation at sites of vascular lesions and are frequently used to assess thrombotic and haemostatic functions of platelets. In this dissertation, different in vivo models were used in mice to address the question at what level a reduced platelet count (PC) compromises stable thrombus formation. To study this, mice were rendered thrombocytopenic by low-dose anti-GPIbα antibody treatment and subjected to a tail bleeding time assay as well as to four different in vivo thrombosis models. Haemostasis and occlusive thrombus formation in small vessels were only mildly affected even at severe reductions of the PC. In contrast, occlusive thrombus formation in larger arteries required higher PCs demonstrating that considerable differences in the sensitivity for PC reductions exist between these models. In a second part of this study, mice were rendered thrombocytopenic by injection of high-dose anti-GPIbα antibody which led to the complete loss of all platelets from the circulation for several days. During recovery from thrombocytopenia, the newly generated platelet population was characterised and revealed a defect in immunoreceptor tyrosine-based activation motif (ITAM)-signalling. This defect translated into impaired arterial thrombus formation. To further investigate ITAM-signalling in vivo, genetically modified mice were analysed which display a positive or negative regulation of platelet ITAM-signalling in vitro. Whereas mice lacking the adapter Grb2 in platelets showed a delayed thrombus formation in vivo after acetylsalicylic acid treatment, Clp36ΔLIM bone marrow chimeric mice and SLAP/SLAP2-deficient mice displayed pro-thrombotic properties in vivo. Finally, mice lacking the adapter protein EFhd2 were analysed in vitro and in vivo. However, EFhd2-deficient platelets showed only a minor increase in the procoagulant activity compared to control.},
  subject      = {Thrombozyt},
  language  = {en}
}
@phdthesis{Audretsch2013,
  author    = {Audretsch, Christof},
  title     = {Analysing Quorum Sensing and Biofilm formation in Staphylococcus aureus},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-92189},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2013},
  abstract  = {Staphylococcus aureus (SA) causes nosocomial infections including life threatening sepsis by multi-resistant strains (MRSA). It has the ability to form biofilms to protect it from the host immune system and from anti staphylococcal drugs. Biofilm and planctonic life style is regulated by a complex Quorum-Sensing (QS) system with agr as a central regulator. To study biofilm formation and QS mechanisms in SA a Boolean network was build (94 nodes, 184 edges) including two different component systems such as agr, sae and arl. Important proteins such as Sar, Rot and SigB were included as further nodes in the model. System analysis showed there are only two stable states biofilm forming versus planctonic with clearly different subnetworks turned on. Validation according to gene expression data confirmed this. Network consistency was tested first according to previous knowledge and literature. Furthermore, the predicted node activity of different in silico knock-out strains agreed well with corresponding micro array experiments and data sets. Additional validation included the expression of further nodes (Northern blots) and biofilm production compared in different knock-out strains in biofilm adherence assays. The model faithfully reproduces the behaviour of QS signalling mutants. The integrated model allows also prediction of various other network mutations and is supported by experimental data from different strains. Furthermore, the well connected hub proteins elucidate how integration of different inputs is achieved by the QS network. For in silico as well as in vitro experiments it was found that the sae-locus is also a central modulator of biofilm production. Sae knock-out strains showed stronger biofilms. Wild type phenotype was rescued by sae complementation. To elucidate the way in which sae takes influence on biofilm formation the network was used and Venn-diagrams were made, revealing nodes regulated by sae and changed in biofilms. In these Venn-diagrams nucleases and extracellular proteins were found to be promising nodes. The network revealed DNAse to be of great importance. Therefore qualitatively the DNAse amount, produced by different SA mutants was measured, it was tried to dissolve biofilms with according amounts of DNAse and the concentration of nucleic acids, proteins and polysaccharides were measured in biofilms of different SA mutants. With its thorough validation the network model provides a powerful tool to study QS and biofilm formation in SA, including successful predictions for different knock-out mutant behaviour, QS signalling and biofilm formation. This includes implications for the behaviour of MRSA strains and mutants. Key regulatory mutation combinations (agr-, sae-, sae-/agr-, sigB+, sigB+/sae-) were directly tested in the model but also in experiments. High connectivity was a good guide to identify master regulators, whose detailed behaviour was studied both in vitro and in the model. Together, both lines of evidence support in particular a refined regulatory role for sae and agr with involvement in biofilm repression and/or SA dissemination. With examination of the composition of different mutant biofilms as well as with the examination of the reaction cascade that connects sae to the biofilm forming ability of SA and also by postulating that nucleases might play an important role in that, first steps were taken in proving and explaining regulatory links leading from sae to biofilms. Furthermore differences in biofilms of different mutant SA strains were found leading us in perspective towards a new understanding of biofilms including knowledge how to better regulate, fight and use its different properties.},
  subject      = {Staphylococcus aureus},
  language  = {en}
}
@phdthesis{Heydenreich2013,
  author    = {Heydenreich, Nadine},
  title     = {Studies on the contact-kinin system and macrophage activation in experimental focal cerebral ischemia},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-94534},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2013},
  abstract  = {Traditionally, ischemic stroke has been regarded as the mere consequence of cessation of cerebral blood flow, e.g. due to the thromboembolic occlusion of a major brain supplying vessel. However, the simple restoration of blood flow via thrombolysis and/or mechanical recanalization alone often does not guarantee a good functional outcome. It appears that secondary detrimental processes are triggered by hypoxia and reoxygenation, which are referred to as ischemia/reperfusion (I/R) injury. During recent years it became evident that, beside thrombosis inflammation and edema formation are key players in the pathophysiology of cerebral ischemia. The contact-kinin system represents an interface between thrombotic, inflammatory and edematous circuits. It connects the intrinsic coagulation pathway with the plasma kallikrein-kinin system (KKS) via coagulation factor FXII. The serine protease inhibitor C1-inhibitor (C1-INH) has a wide spectrum of inhibitory activities and counteracts activation of the contact-kinin system at multiple levels. The first part of the thesis aimed to multimodally interfere with infarct development by C1-INH and to analyze modes of actions of human plasma derived C1-INH Berinert® P in a murine model of focal cerebral ischemia. It was shown that C57BL/6 mice following early application of 15.0 units (U) C1-INH, but not 7.5 U developed reduced brain infarctions by ~60\% and less neurological deficits in the model of transient occlusion of the middle cerebral artery (tMCAO). This protective effect was preserved at more advanced stages of infarction (day 7), without increasing the risk of intracerebral bleeding or affecting normal hemostasis. Less neurological deficits could also be observed with delayed C1-INH treatment, whereas no improvement was achieved in the model of permanent MCAO (pMCAO). Blood-brain-barrier (BBB) damage, inflammation and thrombosis were significantly improved following 15.0 U C1-INH application early after onset of ischemia. Based on its strong antiedematous, antiinflammatory and antithrombotic properties C1-INH constitutes a multifaceted therapeutic compound that protects from ischemic neurodegeneration in 'clinically meaningful' settings. The second part of the thesis addresses the still elusive functional role of macrophages in the early phase of stroke, especially the role of the macrophage-specific adhesion molecule sialoadhesin (Sn). For the first time, sialoadhesin null (Sn-/-) mice, homozygous deficient for Sn on macrophages were subjected to tMCAO to assess the clinical outcome. Neurological and motor function was significantly improved in Sn-/- mice on day 1 after ischemic stroke compared with wildtype (Sn+/+) animals. These clinical improvements were clearly detectable even on day 3 following tMCAO. Infarctions on day 1 were roughly the same size as in Sn+/+ mice and did not grow until day 3. No intracerebral bleeding could be detected at any time point of data acquisition. Twenty four hours after ischemia a strong induction of Sn was detectable in Sn+/+ mice, which was previously observed only on perivascular macrophages in the normal brain. Deletion of Sn on macrophages resulted in less disturbance of the BBB and a reduced number of CD11b+ (specific marker for macrophages/microglia) cells, which, however, was not associated with altered expression levels of inflammatory cytokines. To further analyze the function of macrophages following stroke this thesis took advantage of LysM-Cre+/-/IKK2-/- mice bearing a nuclear factor (NF)-ϰB activation defect in the myeloid lineage, including macrophages. Consequently, macrophages were not able to synthesize inflammatory cytokines under the control of NF-ϰB. Surprisingly, infarct sizes and neurological deficits upon tMCAO were roughly the same in conditional knockout mice and respective wildtype littermates. These findings provide evidence that macrophages do not contribute to tissue damage and neurological deficits, at least, not by release of inflammatory cytokines in the early phase of cerebral ischemia. In contrast, Sn which is initially expressed on perivascular macrophages and upregulated on macrophages/microglia within the parenchyma following stroke, influenced functional outcome.},
  subject      = {Blut-Hirn-Schranke},
  language  = {en}
}
@phdthesis{Kraus2021,
  author    = {Kraus, Amelie Johanna},
  title     = {H2A.Z - a molecular guardian of RNA polymerase II transcription in African trypanosomes},
  doi       = {10.25972/OPUS-25056},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-250568},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {In eukaryotes, the enormously long DNA molecules need to be packaged together with histone proteins into nucleosomes and further into compact chromatin structures to fit it into the nucleus. This nuclear organisation interferes with all phases of transcription that require the polymerase to bind to DNA. During transcription - the process in which the hereditary information stored in DNA is transferred to many transportable RNA molecules - nucleosomes form a physical obstacle for polymerase progression. Thus, transcription is usually accompanied by processes mediating nucleosome destabilisation, including post-translational histone modifications (PTMs) or exchange of canonical histones by their variant forms. To the best of our knowledge, acetylation of histones has the highest capability to induce chromatin opening. The lysine modification can destabilise histone-DNA interactions within a nucleosome and can serve as a binding site for various chromatin remodelers that can modify the nucleosome composition. For example, H4 acetylation can impede chromatin folding and can stimulate the exchange of canonical H2A histone by its variant form H2A.Z at transcription start sites (TSSs) in many eukaryotes, including humans. As histone H4, H2A.Z can be post-translationally acetylated and as acetylated H4, acetylated H2A.Z is enriched at TSSs suggested to be critical for transcription. However, thus far, it has been difficult to study the cause and consequence of H2A.Z acetylation. Even though, genome-wide chromatin profiling studies such as ChIP-seq have already revealed the genomic localisation of many histone PTMs and variant proteins, they can only be used to study individual chromatin marks and not to identify all factors important for establishing a distinct chromatin structure. This would require a comprehensive understanding of all marks associated to a specific genomic locus. However, thus far, such analyses of locus-specific chromatin have only been successful for repetitive regions, such as telomeres. In my doctoral thesis, I used the unicellular parasite Trypanosoma brucei as a model system for chromatin biology and took advantage of its chromatin landscape with TSSs comprising already 7\% of the total T. brucei genome (humans: 0.00000156\%). Atypical for a eukaryote, the protein-coding genes are arranged in long polycistronic transcription units (PTUs). Each PTU is controlled by its own ~10 kb-wide TSS, that lies upstream of the PTU. As observed in other eukaryotes, TSSs are enriched with nucleosomes containing acetylated histones and the histone variant H2A.Z. This is why I used T. brucei to particularly investigate the TSS-specific chromatin structures and to identify factors involved in H2A.Z deposition and transcription regulation in eukaryotes. To this end, I established an approach for locus-specific chromatin isolation that would allow me to identify the TSSs- and non-TSS-specific chromatin marks. Later, combining the approach with a method for quantifying lysine-specific histone acetylation levels, I found H2A.Z and H4 acetylation enriched in TSSs-nucleosomes and mediated by the histone acetyltransferases HAT1 and HAT2. Depletion of HAT2 reduced the levels of TSS-specific H4 acetylation, affected targeted H2A.Z deposition and shifted the sites of transcription initiation. Whereas HAT1 depletion had only a minor effect on H2A.Z deposition, it had a strong effect on H2A.Z acetylation and transcription levels. My findings demonstrate a clear link between histone acetylation, H2A.Z deposition and transcription initiation in the early diverged unicellular parasite T. brucei, which was thus far not possible to determine in other eukaryotes. Overall, my study highlights the usefulness of T. brucei as a model system for studying chromatin biology. My findings allow the conclusion that H2A.Z regardless of its modification state defines sites of transcription initiation, whereas H2A.Z acetylation is essential co-factor for transcription initiation. Altogether, my data suggest that TSS-specific chromatin establishment is one of the earliest developed mechanisms to control transcription initiation in eukaryotes.},
  subject      = {Chromatin},
  language  = {en}
}
@phdthesis{Juerges2022,
  author    = {J{\"u}rges, Christopher Sebastian},
  title     = {Algorithmic methods for elucidating the transcriptomic landscape of herpesviruses},
  doi       = {10.25972/OPUS-27282},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-272825},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Transcription describes the process of converting the information contained in DNA into RNA. Although, tremendous progress has been made in recent decades to uncover this complex mechanism, it is still not fully understood. Given the advances and reduction in cost of high-throughput sequencing experiments, more and more data have been generated to help elucidating this complex process. Importantly, these sequencing experiments produce massive amounts of data that are incomprehensible in their raw form for humans. Further, sequencing techniques are not always 100\% accurate and are subject to a certain degree of variability and, in special cases, they might introduce technical artifacts. Thus, computational and statistical methods are indispensable to uncover the information buried in these datasets. In this thesis, I worked with multiple high throughput datasets from herpes simplex virus 1 (HSV-1) and human cytomegalovirus (HCMV) infections. During the last decade, it has became clear that a gene might not have a single, but multiple sites at which transcription initiates. These multiple transcription start sites (TiSS) demonstrated to have regulatory effects on the gene itself depending on which TiSS is used. Specialized experimental approaches were developed to help identify TiSS (TiSS-profiling). In order to facilitate the identification of all potential TiSS that are used for cell type- and condition-specific transcription, I developed the tool iTiSS. By using a new general enrichment-based approach to predict TiSS, iTiSS proved to be applicable in integrated studies and made it less prone to false positives compared to other TiSS-calling tools. Another improvement in recent years was made in metabolic labeling experiments such as SLAM-seq. Here, they removed the time consuming and laborious step of physically separating new from old RNA in the samples. This was achieved by inducing specific nucleotide conversions in newly synthesized RNA that are later visible in the data. Consequently, the separation of new and old RNA is now done computationally and, hence, tools are needed that accurately quantify these fold-changes. My second tool that I developed, called GRAND-SLAM proved to be capable to accomplish this task and outperform competing programs. As both of my tools, iTiSS and GRAND-SLAM are not specifically tailored to my own goals, but could also facilitate the research of other groups in this field, I made them publicly available on GitHub. I applied my tools to datasets generated in our lab as well as to publicly available data sets from HSV-1 and HCMV, respectively. For HSV-1, I was able to predict and validate TiSS with nucleotide precision using iTiSS. This has lead to the most comprehensive annotation for HSV-1 to date, which now serves as the fundamental basis of any future transcriptomic research on HSV-1. By combining both my tools, I was further able to uncover parts of the highly complex gene kinetics in HCMV and to resolve the limitations caused by the densely packed genome of HCMV. With the ever-increasing advances in sequencing techniques and their decrease in cost, the amounts of data produced will continue to rise massively in the future. Additionally, more and more specialized omics approaches are appearing, calling for new tools to leverage their full information potential. Consequently, it has become apparent that specialized computational tools such as iTiSS and GRAND-SLAM are needed and will become an essential and indispensable part of the analysis.},
  subject      = {Herpesviren},
  language  = {en}
}
@phdthesis{Somody2023,
  author    = {Somody, Joseph Christian Campbell},
  title     = {Leveraging deep learning for identification and structural determination of novel protein complexes from \(in\) \(situ\) electron cryotomography of \(Mycoplasma\) \(pneumoniae\)},
  doi       = {10.25972/OPUS-31344},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-313447},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {The holy grail of structural biology is to study a protein in situ, and this goal has been fast approaching since the resolution revolution and the achievement of atomic resolution. A cell's interior is not a dilute environment, and proteins have evolved to fold and function as needed in that environment; as such, an investigation of a cellular component should ideally include the full complexity of the cellular environment. Imaging whole cells in three dimensions using electron cryotomography is the best method to accomplish this goal, but it comes with a limitation on sample thickness and produces noisy data unamenable to direct analysis. This thesis establishes a novel workflow to systematically analyse whole-cell electron cryotomography data in three dimensions and to find and identify instances of protein complexes in the data to set up a determination of their structure and identity for success. Mycoplasma pneumoniae is a very small parasitic bacterium with fewer than 700 protein-coding genes, is thin enough and small enough to be imaged in large quantities by electron cryotomography, and can grow directly on the grids used for imaging, making it ideal for exploratory studies in structural proteomics. As part of the workflow, a methodology for training deep-learning-based particle-picking models is established. As a proof of principle, a dataset of whole-cell Mycoplasma pneumoniae tomograms is used with this workflow to characterize a novel membrane-associated complex observed in the data. Ultimately, 25431 such particles are picked from 353 tomograms and refined to a density map with a resolution of 11 {\AA}. Making good use of orthogonal datasets to filter search space and verify results, structures were predicted for candidate proteins and checked for suitable fit in the density map. In the end, with this approach, nine proteins were found to be part of the complex, which appears to be associated with chaperone activity and interact with translocon machinery. Visual proteomics refers to the ultimate potential of in situ electron cryotomography: the comprehensive interpretation of tomograms. The workflow presented here is demonstrated to help in reaching that potential.},
  subject      = {Kryoelektronenmikroskopie},
  language  = {en}
}
@phdthesis{Landwehr2023,
  author    = {Landwehr, Laura-Sophie},
  title     = {Steroid Hormones and Cancer Immunity - learning from Adrenocortical Carcinoma},
  doi       = {10.25972/OPUS-25189},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-251895},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Adrenocortical carcinoma (ACC) is a rare, but highly aggressive endocrine malignancy. Tumor-related hypercortisolism is present in 60 \% of patients and associated with worse outcome. While cancer immunotherapies have revolutionized the treatment of many cancer entities, the results of initial studies of different immune checkpoint inhibitors in ACC were heterogeneous. Up to now, five small clinical trials with a total of 121 patients have been published and demonstrated an objective response in only 17 patients. However, one of the studies, by Raj et al., reported a clinically meaningful disease control rate of 52 \% and a median overall survival of almost 25 months suggesting that a subgroup of ACC patients may benefit from immunotherapeutic approaches. Following the hypothesis that some ACCs are characterized by a glucocorticoid-induced T lymphocytes depletion, several studies were performed as part of the presented thesis. First, the immune cell infiltration in a large cohort of 146 ACC specimens was investigated. It was demonstrated for the first time, and against the common assumption, that ACCs were infiltrated not only by FoxP3+ regulatory T cells (49.3 \%), but also that a vast majority of tumor samples was infiltrated by CD4+ TH cells (74 \%) and CD8+ cytotoxic T cells (84.3 \%), albeit the immune cell number varied heterogeneously and was rather low (median: 7.7 CD3+ T cells / high power field, range: 0.1-376). Moreover, the presence of CD3+-, CD4+- and CD8+ ACC-infiltrating lymphocytes was associated with an improved recurrence-free (HR: 0.31 95 \% CI 0.11-0.82) and overall survival (HR: 0.47 96 \% CI 0.25-0.87). Particularly, patients with tumor-infiltrating CD4+ TH cells without glucocorticoid excess had a significantly longer overall survival compared to patients with T cell-depleted ACC and hypercortisolism (121 vs. 27 months, p = 0.004). Hence, the impact of glucocorticoids might to some extent be responsible for the modest immunogenicity in ACC as hypercortisolism was reversely correlated with the number of CD4+ TH cells. Accordingly, CD3+ T cells co-cultured with steroidogenic NCI-H295R ACC cells demonstrated in vitro an enhanced anti-tumoral cytotoxicity by secreting 747.96 ±225.53 pg/ml IFN-γ in a therapeutically hormone-depleted microenvironment (by incubation with metyrapone), versus only 276.02 ±117.46 pg/ml IFN-γ in a standard environment with glucocorticoid excess. Other potential biomarkers to predict response to immunotherapies are the immunomodulatory checkpoint molecules, programmed cell death 1 (PD-1) and its ligand PD-L1, since both are targets of antibodies used therapeutically in different cancer entities. In a subcohort of 129 ACCs, expressions of both molecules were heterogeneous (PD-1 17.4 \%, range 1-15; PD-L1 24.4 \%, range 1 - 90) and rather low. Interestingly, PD-1 expression significantly influenced ACC patients´ overall (HR: 0.21 95 \% CI 0.53-0.84) and progression- free survival (HR: 0.30 95 \% CI 0.13-0.72) independently of established factors, like ENSAT tumor stage, resection status, Ki67 proliferation index and glucocorticoid excess, while PD-L1 had no impact. In conclusion, this study provides several potential explanations for the heterogeneous results of the immune checkpoint therapy in advanced ACC. In addition, the establishment of PD-1 as prognostic marker can be easily applied in routine clinical care, because it is nowadays anyway part of a detailed histo-pathological work-up. Furthermore, these results provide the rationale and will pave the way towards a combination therapy using immune checkpoint inhibitors as well as glucocorticoid blockers. This will increase the likelihood of re-activating the immunological anti-tumor potential in ACC. However, this will have to be demonstrated by additional preclinical in vivo experiments and finally in clinical trials with patients.},
  subject      = {Steroidhormon},
  language  = {en}
}
@phdthesis{Gensler2023,
  author    = {Gensler, Marius E.},
  title     = {Simultaneous printing of tissue and customized bioreactor},
  doi       = {10.25972/OPUS-28019},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-280190},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Additive manufacturing processes such as 3D printing are booming in the industry due to their high degree of freedom in terms of geometric shapes and available materials. Focusing on patient-specific medicine, 3D printing has also proven useful in the Life Sciences, where it exploits the shape fidelity for individualized tissues in the field of bioprinting. In parallel, the current systems of bioreactor technology have adapted to the new manufacturing technology as well and 3D-printed bioreactors are increasingly being developed. For the first time, this work combines the manufacturing of the tissue and a tailored bioreactor, significantly streamlining the overall process and optimally merging the two processes. This way the production of the tissues can be individualized by customizing the reactor to the tissue and the patient-specific wound geometry. For this reason, a common basis and guideline for the cross-device and cross-material use of 3D printers was created initially. Their applicability was demonstrated by the iterative development of a perfusable bioreactor system, made from polydimethylsiloxane (PDMS) and a lignin-based filament, into which a biological tissue of flexible shape can be bioprinted. Cost-effective bioink-replacements and in silico computational fluid dynamics simulations were used for material sustainability and shape development. Also, nutrient distribution and shear stress could be predicted in this way pre-experimentally. As a proof of functionality and adaptability of the reactor, tissues made from a nanocellulose-based Cellink® Bioink, as well as an alginate-based ink mixed with Me-PMeOx100-b-PnPrOzi100-EIP (POx) (Alginate-POx bioink) were successfully cultured dynamically in the bioreactor together with C2C12 cell line. Tissue maturation was further demonstrated using hMSC which were successfully induced to adipocyte differentiation. For further standardization, a mobile electrical device for automated media exchange was developed, improving handling in the laboratory and thus reduces the probability of contamination.},
  subject      = {3 D bioprinting},
  language  = {en}
}
@phdthesis{Allgaier2024,
  author    = {Allgaier, Johannes},
  title     = {Machine Learning Explainability on Multi-Modal Data using Ecological Momentary Assessments in the Medical Domain},
  doi       = {10.25972/OPUS-35118},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-351189},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {Introduction. Mobile health (mHealth) integrates mobile devices into healthcare, enabling remote monitoring, data collection, and personalized interventions. Machine Learning (ML), a subfield of Artificial Intelligence (AI), can use mHealth data to confirm or extend domain knowledge by finding associations within the data, i.e., with the goal of improving healthcare decisions. In this work, two data collection techniques were used for mHealth data fed into ML systems: Mobile Crowdsensing (MCS), which is a collaborative data gathering approach, and Ecological Momentary Assessments (EMA), which capture real-time individual experiences within the individual's common environments using questionnaires and sensors. We collected EMA and MCS data on tinnitus and COVID-19. About 15 \% of the world's population suffers from tinnitus. Materials \& Methods. This thesis investigates the challenges of ML systems when using MCS and EMA data. It asks: How can ML confirm or broad domain knowledge? Domain knowledge refers to expertise and understanding in a specific field, gained through experience and education. Are ML systems always superior to simple heuristics and if yes, how can one reach explainable AI (XAI) in the presence of mHealth data? An XAI method enables a human to understand why a model makes certain predictions. Finally, which guidelines can be beneficial for the use of ML within the mHealth domain? In tinnitus research, ML discerns gender, temperature, and season-related variations among patients. In the realm of COVID-19, we collaboratively designed a COVID-19 check app for public education, incorporating EMA data to offer informative feedback on COVID-19-related matters. This thesis uses seven EMA datasets with more than 250,000 assessments. Our analyses revealed a set of challenges: App user over-representation, time gaps, identity ambiguity, and operating system specific rounding errors, among others. Our systematic review of 450 medical studies assessed prior utilization of XAI methods. Results. ML models predict gender and tinnitus perception, validating gender-linked tinnitus disparities. Using season and temperature to predict tinnitus shows the association of these variables with tinnitus. Multiple assessments of one app user can constitute a group. Neglecting these groups in data sets leads to model overfitting. In select instances, heuristics outperform ML models, highlighting the need for domain expert consultation to unveil hidden groups or find simple heuristics. Conclusion. This thesis suggests guidelines for mHealth related data analyses and improves estimates for ML performance. Close communication with medical domain experts to identify latent user subsets and incremental benefits of ML is essential.},
  subject      = {Maschinelles Lernen},
  language  = {en}
}
@phdthesis{Schulz2023,
  author    = {Schulz, Ellina},
  title     = {Lokale Ultraschall-vermittelte Zytostatika-Applikation zur Behandlung von Hirntumoren},
  doi       = {10.25972/OPUS-32016},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-320168},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Glioblastoma (GBM) sind b{\"o}sartige hirneigene Tumore, deren schlechte Prognose einer innovativen Therapie bedarf. Aus diesem Grund wurde ein neuer Therapieansatz entwickelt, der auf einer lokalen Ultraschall-vermittelten Zytostatika Applikation beruht. Hierf{\"u}r wurden stabile Microbubbles (MB) bestehend aus Phospholipiden synthetisiert. Es konnte gezeigt werden, dass MB als auch fokussierter Ultraschall niedriger Intensit{\"a}t (LIFU) keinen negativen Einfluss auf GBM-Zellen hat. MB hingegen konnten mittels LIFU destruiert werden, wodurch das in den MB eingeschlossene Chemotherapeutikum freigesetzt werden kann. Es wurden verschiedene Platin(II)- und Palladium(II)-Komplexe auf GBM Zellen getestet. Zur Beladung der MB wurde Doxorubicin (Dox) verwendet. Es konnte eine Beladungseffizienz der MB mit Dox von 52 \% erreicht werden, auch eine Aufreinigung dieser mittel Ionenaustausch-Chromatographie und Dialyse war erfolgreich. Die Austestung der mit Dox beladenen MB (MBDox) erfolgte auf GBM-Zellen in 2D- und 3D-Zelkulturmodellen. Dabei zeigte sich, dass die Behandlung mit MBDox und LIFU f{\"u}r 48 h eine zytotoxische Wirkung hatte, die sich signifikant von der Behandlung mit MBDox ohne LIFU unterschied. Zur Austestung der MBDox in 3D-Zellkulturmodellen wurden zwei Scaffold-Systeme eingesetzt. Es zeigte sich in den Versuchen, dass MBDox mit LIFU im Vergleich zu MBDox ohne LIFU Applikation einen zytotoxischen Effekt auf GBM-Zellen haben. Somit konnte die Wirksamkeit der Zytostatika Applikation mittels MB und LIFU in 2D- und 3D-Zellkulturmodellen erfolgreich etabliert werden. Als weiterer Schritt wurden zwei 3D in vitro Modelle erarbeitet. Dabei wurden zun{\"a}chst organotypische hippocampale Slice Kulturen (organotypic hippocampal brain slice cultures, OHSC) aus der Maus hergestellt und anschließend mit fluoreszent-markierten Mikrotumoren aus GBM-Zelllinien, Prim{\"a}rzellen (PZ) und aus Patienten generierten GBM-Organoiden hergestellt. Diese GBM-Modelle wurden mit Tumor Treating Fields (TTFields) behandelt. Dabei war eine Abnahme der Tumorgr{\"o}ße von Mikrotumoren aus GBM-Zellen und PZ unter TTFields-Behandlung f{\"u}r 72 h messbar. Als weiteres in vitro Modell wurden humane Tumorschnitte aus intraoperativ entferntem GBM-Patientenmaterial hergestellt. Die Schnitte wiesen ein heterogenes Ansprechen nach 72 h TTFields-Applikation auf. Dies spiegelt die Heterogenit{\"a}t des GBM sehr gut wider und best{\"a}rkt die Eignung des Modelles zur Untersuchung von neuen Therapieans{\"a}tzen zur Behandlung von GBM.},
  subject      = {Glioblastom},
  language  = {de}
}
@phdthesis{Baumann2023,
  author    = {Baumann, Juliane},
  title     = {Studies on the influence of mutations in the Myh9 gene on platelet function},
  doi       = {10.25972/OPUS-28795},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-287953},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {The platelet cytoskeleton ensures normal size and discoid shape under resting conditions and undergoes immediate reorganization in response to changes in the extracellular environment through integrin-based adhesion sites, resulting in actomyosin-mediated contractile forces. Mutations in the contractile protein non-muscle myosin heavy chain IIA display, among others, macrothrombocytopenia and a mild to moderate bleeding tendency in human patients. It is insufficiently understood which factors contribute to the hemostatic defect found in MYH9-related disease patients. Therefore, a better understanding of the underlying biophysical mechanisms in thrombus formation and stabilization is warranted. This thesis demonstrates that an amino acid exchange at the positions 702, 1424 and 1841 in the heavy chain of the contractile protein non-muscle myosin IIA, caused by heterozygous point mutations in the gene, resulted in macrothrombocytopenia and increased bleeding in mice, reflecting the clinical hallmark of the MYH9-related disease in human patients. Basic characterization of biological functions of Myh9 mutant platelets revealed overall normal surface glycoprotein expression and agonist-induced activation when compared to wildtype platelets. However, myosin light chain phosphorylation after thrombin-activation was reduced in mutant platelets, resulting in less contractile forces and a defect in clot retraction. Altered biophysical characteristics with lower adhesion and interaction forces of Myh9 mutant platelets led to reduced thrombus formation and stability. Platelets from patients with the respective mutations recapitulated the findings obtained with murine platelets, such as impaired thrombus formation and stiffness. Besides biological and biophysical characterization of mutant platelets from mice and men, treatment options were investigated to prevent increased bleeding caused by reduced platelet forces. The antifibrinolytic agent tranexamic acid was applied to stabilize less compact thrombi, which are presumably more vulnerable to fibrinolysis. The hemostatic function in Myh9 mutant mice was improved by interfering with the fibrinolytic system. These results show the beneficial effect of fibrin stabilization to reduce bleeding in MYH9-related disease.},
  subject      = {Thrombozyt},
  language  = {en}
}
@phdthesis{Schurr2023,
  author    = {Schurr, Yvonne},
  title     = {Studies on the role of cytoskeletal-regulatory and -crosslinking proteins in platelet function},
  doi       = {10.25972/OPUS-21892},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-218924},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Cytoskeletal reorganization in platelets is highly regulated and important for proper platelet function during activation and aggregation at sites of vascular injury. In this thesis, the role of three different cytoskeletal-regulatory and -crosslinking proteins was studied in platelet physiology using megakaryocyte- and platelet-specific knockout mice. The generation of branched actin filaments is regulated by nucleation promoting factors (NPF) and the Arp2/3 complex. (1.) The WAVE complex is a NPF, which upregulates the Arp2/3 complex activity at the plasma membrane. As shown in this thesis, the loss of the WAVE complex subunit Cyfip1 in mice did not alter platelet production and had only a minor impact on platelet activation. However, Cyfip1 played an essential role for branching of actin filaments and consequently for lamellipodia formation in vitro. The importance of lamellipodia for thrombus formation and stability has been controversially discussed. Cyfip1-deficient platelets were able to form a stable thrombus ex vivo and in vivo and a hemostatic plug comparable to controls. Moreover, Cyfip1-deficient mice maintained vascular integrity at the site of inflammation. These data show that platelet lamellipodia formation is not required for hemostatic function and pathophysiological thrombus formation. (2.) The WASH complex is another NPF, which mediates actin filament polymerization on endosomal vesicles via the Arp2/3 complex. Loss of the WASH complex subunit Strumpellin led to a decreased protein abundance of the WASH protein and to a 20\% reduction in integrin αIIbβ3 surface expression on platelets and megakaryocytes, whereas the expression of other surface receptors as well as the platelet count, size, ex vivo thrombus formation and bleeding time remained unaltered. These data point to a distinct role of Strumpellin in maintaining integrin αIIbβ3 expression and provide new insights into regulatory mechanisms of platelet integrins. (3.) MACF1 has been described as a cytoskeletal crosslinker of microtubules and F-actin. However, MACF1-deficient mice displayed no alterations in platelet production, activation, thrombus formation and hemostatic function. Further, no compensatory up- or downregulation of other proteins could be found that contain an F-actin- and a microtubule-binding domain. These data indicate that MACF1 is dispensable for platelet biogenesis, activation and thrombus formation. Nevertheless, functional redundancy among different proteins mediating the cytoskeletal crosstalk may exist.},
  subject      = {Cytoskeleton},
  language  = {en}
}
@phdthesis{PradaSalcedo2018,
  author    = {Prada Salcedo, Juan Pablo},
  title     = {Image Processing and other bioinformatic tools for Neurobiology},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-157721},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2018},
  abstract  = {Neurobiology is widely supported by bioinformatics. Due to the big amount of data generated from the biological side a computational approach is required. This thesis presents four different cases of bioinformatic tools applied to the service of Neurobiology. The first two tools presented belong to the field of image processing. In the first case, we make use of an algorithm based on the wavelet transformation to assess calcium activity events in cultured neurons. We designed an open source tool to assist neurobiology researchers in the analysis of calcium imaging videos. Such analysis is usually done manually which is time consuming and highly subjective. Our tool speeds up the work and offers the possibility of an unbiased detection of the calcium events. Even more important is that our algorithm not only detects the neuron spiking activity but also local spontaneous activity which is normally discarded because it is considered irrelevant. We showed that this activity is determinant in the calcium dynamics in neurons and it is involved in important functions like signal modulation and memory and learning. The second project is a segmentation task. In our case we are interested in segmenting the neuron nuclei in electron microscopy images of c.elegans. Marking these structures is necessary in order to reconstruct the connectome of the organism. C.elegans is a great study case due to the simplicity of its nervous system (only 502 neurons). This worm, despite its simplicity has taught us a lot about neuronal mechanisms. There is still a lot of information we can extract from the c.elegans, therein lies the importance of reconstructing its connectome. There is a current version of the c.elegans connectome but it was done by hand and on a single subject which leaves a big room for errors. By automatizing the segmentation of the electron microscopy images we guarantee an unbiased approach and we will be able to verify the connectome on several subjects. For the third project we moved from image processing applications to biological modeling. Because of the high complexity of even small biological systems it is necessary to analyze them with the help of computational tools. The term in silico was coined to refer to such computational models of biological systems. We designed an in silico model of the TNF (Tumor necrosis factor) ligand and its two principal receptors. This biological system is of high relevance because it is involved in the inflammation process. Inflammation is of most importance as protection mechanism but it can also lead to complicated diseases (e.g. cancer). Chronic inflammation processes can be particularly dangerous in the brain. In order to better understand the dynamics that govern the TNF system we created a model using the BioNetGen language. This is a rule based language that allows one to simulate systems where multiple agents are governed by a single rule. Using our model we characterized the TNF system and hypothesized about the relation of the ligand with each of the two receptors. Our hypotheses can be later used to define drug targets in the system or possible treatments for chronic inflammation or lack of the inflammatory response. The final project deals with the protein folding problem. In our organism proteins are folded all the time, because only in their folded conformation are proteins capable of doing their job (with some very few exceptions). This folding process presents a great challenge for science because it has been shown to be an NP problem. NP means non deterministic Polynomial time problem. This basically means that this kind of problems cannot be efficiently solved. Nevertheless, somehow the body is capable of folding a protein in just milliseconds. This phenomenon puzzles not only biologists but also mathematicians. In mathematics NP problems have been studied for a long time and it is known that given the solution to one NP problem we could solve many of them (i.e. NP-complete problems). If we manage to understand how nature solves the protein folding problem then we might be able to apply this solution to many other problems. Our research intends to contribute to this discussion. Unfortunately, not to explain how nature solves the protein folding problem, but to explain that it does not solve the problem at all. This seems contradictory since I just mentioned that the body folds proteins all the time, but our hypothesis is that the organisms have learned to solve a simplified version of the NP problem. Nature does not solve the protein folding problem in its full complexity. It simply solves a small instance of the problem. An instance which is as simple as a convex optimization problem. We formulate the protein folding problem as an optimization problem to illustrate our claim and present some toy examples to illustrate the formulation. If our hypothesis is true, it means that protein folding is a simple problem. So we just need to understand and model the conditions of the vicinity inside the cell at the moment the folding process occurs. Once we understand this starting conformation and its influence in the folding process we will be able to design treatments for amyloid diseases such as Alzheimer's and Parkinson's. In summary this thesis project contributes to the neurobiology research field from four different fronts. Two are practical contributions with immediate benefits, such as the calcium imaging video analysis tool and the TNF in silico model. The neuron nuclei segmentation is a contribution for the near future. A step towards the full annotation of the c.elegans connectome and later for the reconstruction of the connectome of other species. And finally, the protein folding project is a first impulse to change the way we conceive the protein folding process in nature. We try to point future research in a novel direction, where the amino code is not the most relevant characteristic of the process but the conditions within the cell.},
  subject      = {Bildverarbeitung},
  language  = {en}
}