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The evolutionary success of insects is believed to be at least partially facilitated by symbioses between insects and prokaryotes. Bacterial endosymbionts confer various fitness advantages to their hosts, for example by providing nutrients lacking from the insects’ diet thereby enabling the inhabitation of new ecological niches. The Florida carpenter ant Camponotus floridanus harbours endosymbiotic bacteria of the genus Blochmannia. These primary endosymbionts mainly reside in the cytoplasm of bacteriocytes, specialised cells interspersed into the midgut tissue, but they were also found in oocytes which allows their vertical transmission. The social lifestyle of C. floridanus may facilitate the rapid spread of infections amongst genetically closely related animals living in huge colonies. Therefore, the ants require an immune system to efficiently combat infections while maintaining a “chronic” infection with their endosymbionts.
In order to investigate the immune repertoire of the ants, the Illumina sequencing method was used. The previously published genome sequence of C. floridanus was functionally re-annotated and 0.53% of C. floridanus proteins were assigned to the gene ontology (GO) term subcategory “immune system process”. Based on homology analyses, genes encoding 510 proteins with possible immune function were identified. These genes are involved in microbial recognition and immune signalling pathways but also in cellular defence mechanisms, such as phagocytosis and melanisation. The components of the major signalling pathways appear to be highly conserved and the analysis revealed an overall broad immune repertoire of the ants though the number of identified genes encoding pattern recognition receptors (PRRs) and antimicrobial peptides (AMPs) is comparatively low. Besides three genes coding for homologs of thioester-containing proteins (TEPs), which have been shown to act as opsonins promoting phagocytosis in other insects, six genes encoding the AMPs defesin-1 and defensin-2, hymenoptaecin, two tachystatin-like peptides and one crustin-like peptide are present in the ant genome. Although the low number of known AMPs in comparison to 13 AMPs in the honey bee Apis mellifera and 46 AMPs in the wasp Nasonia vitripennis may indicate a less potent immune system, measures summarised as external or social immunity may enhance the immune repertoire of C. floridanus, as it was discussed for other social insects. Also, the hymenoptaecin multipeptide precursor protein may be processed to yield seven possibly bioactive peptides. In this work, two hymenoptaecin derived peptides were heterologously expressed and purified. The preliminary antimicrobial activity assays indicate varying bacteriostatic effects of different hymenoptaecin derived peptides against Escherichia coli D31 and Staphylococcus aureus which suggests a functional amplification of the immune response further increasing the antimicrobial potency of the ants.
Furthermore, 257 genes were differentially expressed upon immune challenge of C. floridanus and most of the immune genes showing differential expression are involved in recognition of microbes or encode immune effectors rather than signalling components. Additionally, genes coding for proteins involved in storage and metabolism were downregulated upon immune challenge suggesting a trade-off between two energy-intensive processes in order to enhance effectiveness of the immune response. The analysis of gene expression via qRT-PCR was used for validation of the transcriptome data and revealed stage-specific immune gene regulation. Though the same tendencies of regulation were observed in larvae and adults, expression of several immune-related genes was generally more strongly induced in larvae. Immune gene expression levels depending on the developmental stage of C. floridanus are in agreement with observations in other insects and might suggest that animals from different stages revert to individual combinations of external and internal immunity upon infection.
The haemolymph proteome of immune-challenged ants further established the immune-relevance of several proteins involved in classical immune signalling pathways, e.g. PRRs, extracellularly active proteases of the Toll signalling pathway and effector molecules such as AMPs, lysozymes and TEPs. Additionally, non-canonical proteins with putative immune function were enriched in immune-challenged haemolymph, e.g. Vitellogenins, NPC2-like proteins and Hemocytin. As known from previous studies, septic wounding also leads to the upregulation of genes involved in stress responses. In the haemolymph, proteins implicated in protein stabilisation and in the protection against oxidative stress and insecticides were enriched upon immune challenge. In order to identify additional putative immune effectors, haemolymph peptide samples from immune-challenged larvae and adults were analysed. The analysis in this work focussed on the identification of putative peptides produced via the secretory pathway as previously described for neuropeptides of C. floridanus. 567 regulated peptides derived from 39 proteins were identified in the larval haemolymph, whereas 342 regulated peptides derived from 13 proteins were found in the adult haemolymph. Most of the peptides are derived from hymenoptaecin or from putative uncharacterised proteins. One haemolymph peptide of immune-challenged larvae comprises the complete amino acid sequence of a predicted peptide derived from a Vitellogenin. Though the identified peptide lacks similarities to any known immune-related peptide, it is a suitable candidate for further functional analysis.
To establish a stable infection with the endosymbionts, the bacteria have to be transmitted to the next generation of the ants. The vertical transmission of B. floridanus is guaranteed by bacterial infestation of oocytes. This work presents the first comprehensive and detailed description of the localisation of the bacterial endosymbionts in C. floridanus ovaries during oogenesis. Whereas the most apical part of the germarium, which contains the germ-line stem cells, is not infected by the bacteria, small somatic cells in the outer layers of each ovariole were found to be infected in the lower germarium. Only with the beginning of cystocyte differentiation, endosymbionts are exclusively transported from follicle cells into the growing oocytes, while nurse cells were never infected with B. floridanus. This infestation of the oocytes by bacteria very likely involves exocytosis-endocytosis processes between follicle cells and the oocytes. A previous study suggested a down-modulation of the immune response in the midgut tissue which may promote endosymbiont tolerance. Therefore, the expression of several potentially relevant immune genes was analysed in the ovarial tissue by qRT-PCR. The relatively low expression of genes involved in Toll and IMD signalling, and the high expression of genes encoding negative immune regulators, such as PGRP-LB, PGRP-SC2, and tollip, strongly suggest that a down-modulation of the immune response may also facilitate endosymbiont tolerance in the ovaries and thereby contribute to their vertical transmission.
Overall, the present thesis improves the knowledge about the immune repertoire of C. floridanus and provides new candidates for further functional analyses. Moreover, the involvement of the host immune system in maintaining a “chronic” infection with symbiotic bacteria was confirmed and extended to the ovaries.
The sequencing of several ant genomes within the last six years open new research avenues for understanding not only the genetic basis of social species but also the complex systems such as immune responses in general. Similar to other social insects, ants live in cooperative colonies, often in high densities and with genetically identical or closely related individuals. The contact behaviours and crowd living conditions allow the disease to spread rapidly through colonies. Nevertheless, ants can efficiently combat infections by using diverse and effective immune mechanisms. However, the components of the immune system of carpenter ant Camponotus floridanus and also the factors in bacteria that facilitate infection are not well understood.
To form a better view of the immune repository and study the C. floridanus immune responses against the bacteria, experimental data from Illumina sequencing and mass-spectrometry (MS) data of haemolymph in normal and infectious conditions were analysed and integrated with the several bioinformatics approaches. Briefly, the tasks were accomplished in three levels. First, the C. floridanus genome was re-annotated for the improvement of the existing annotation using the computational methods and transcriptomics data. Using the homology based methods, the extensive survey of literature, and mRNA expression profiles, the immune repository of C. floridanus were established. Second, large-scale protein-protein interactions (PPIs) and signalling network of C. floridanus were reconstructed and analysed and further the infection induced functional modules in the networks were detected by mapping of the expression data over the networks. In addition, the interactions of the immune components with the bacteria were identified by reconstructing inter-species PPIs networks and the interactions were validated by literature. Third, the stage-specific MS data of larvae and worker ants were analysed and the differences in the immune response were reported.
Concisely, all the three omics levels resulted to multiple findings, for instance, re-annotation and transcriptome profiling resulted in the overall improvement of structural and functional annotation and detection of alternative splicing events, network analysis revealed the differentially expressed topologically important proteins and the active functional modules, MS data analysis revealed the stage specific differences in C. floridanus immune responses against bacterial pathogens.
Taken together, starting from re-annotation of C. floridanus genome, this thesis provides a transcriptome and proteome level characterization of ant C. floridanus, particularly focusing on the immune system responses to pathogenic bacteria from a biological and a bioinformatics point of view. This work can serve as a model for the integration of omics data focusing on the immuno-transcriptome of insects.
Bei der zystischen Fibrose (CF) sowie der primären Ziliendyskinesie (PCD) handelt es sich um zwei seltene Erkrankungen, die unter anderem den mukoziliären Transport beeinträchtigen. CF gehört hierbei zu den am häufigsten vorkommenden angeborenen Stoffwechselerkrankungen, wobei Betroffene unter einem Defekt des Cystic Fibrosis Transmembrane Conductor Regulator (CFTR)-Gens leiden, der durch die Produktion von hochviskosem Sekret in muzinproduzierenden Organen, wie dem gastrointestinalen Trakt und der Lunge, gekennzeichnet ist. Patienten, die an PCD leiden, weisen Defekte in, zum jetzigen Zeitpunkt, ca. 38 bekannten und PCD-assoziierten Genen auf, die in strukturellen Defekten des ziliären Apparats und somit in dysfunktionalen Kinozilien resultieren. Da aktuell weder für die CF noch für die PCD eine Heilung möglich ist, steht bei der Therapie vor allem die Linderung der Symptome im Fokus. Grundlegendes Ziel ist der langfristige Erhalt der Lungenfunktion sowie die Prävention bakterieller Infekte. Als bisherige Modellsysteme zur Erforschung möglicher Therapeutika gelten Tiermodelle, die den humanen Phänotyp aufgrund von Speziesdiversität nicht vollständig abbilden können. Als vielversprechende Testsysteme für die zystische Fibrose gelten humane intestinale Organoidkulturen. Nachdem allerdings vorwiegend respiratorische Symptome für die Mortalität der Patienten verantwortlich sind, stellen CF-Atemwegsmodelle bessere Testsysteme für zukünftige Therapeutika dar. Atmungsorganoidkulturen wurden verwendet, um die CFTR-Funktionalität zu untersuchen, repräsentieren aber nicht vollständig die in vivo Situation. Deshalb werden zur Entwicklung neuer Therapiestrategien patientenspezifische 3D in vitro Testsysteme der humanen Atemwege benötigt, die insbesondere im Hinblick auf personalisierte Medizin ihren Einsatz finden. In der vorliegenden Arbeit wurde eine für den Lehrstuhl neue Methode zur Zellgewinnung aus nasalen Schleimhautabstrichen etabliert, die eine standardisierte Versorgung mit humanem Primärmaterial garantiert. Zur Generierung einer krankheitsspezifischen Zelllinie, wie beispielsweise einer PCD-Zelllinie mit Hilfe des CRISPR/Cas9-Systems, ist eine Atemwegszelllinie erforderlich, die die in vivo Situation vollständig repräsentiert. So wurden vier verschiedene respiratorische Epithelzelllinien (HBEC3-KT, Calu-3, VA10 und Cl-huAEC) auf ihren mukoziliären Phänotyp hin untersucht, wobei lediglich die Zelllinie HBEC3-KT in zilientragende Zellen differenzierte. Diese zeigten jedoch nur auf ca. 5 % der Modelloberfläche Kinozilien, wodurch die humane respiratorische Mukosa nicht komplett abgebildet werden konnte und die HBEC3-KT-Zelllinie keine geeignete Zelllinie zur Generierung einer PCD-Zelllinie darstellte. Mit Hilfe des Tissue Engineering war es möglich, 3D in vitro Testsysteme basierend auf zwei unterschiedlichen Matrices, der biologischen SIS (small intestinal submucosa) und der synthetischen Polyethylenterephthalat (PET)-Membran, aufzubauen. Es wurden 3D Atemwegstestsysteme mit humanen primären nasalen und tracheobronchialen Epithelzellen generiert. Ergänzend zu histologischen Untersuchungen und zur Charakterisierung spezifischer Marker des respiratorischen Systems mittels Immunfluoreszenz, wurde die Ultrastruktur der Modelle, mit speziellem Fokus auf ziliäre Strukturen, analysiert. Um Rückschlüsse auf die ziliäre Funktionalität ziehen zu können und somit eine hohe in vivo Korrelation zu bestätigen, wurde im Rahmen dieser Arbeit am Lehrstuhl für Tissue Engineering und Regenerative Medizin die Methode der Hochgeschwindigkeitsvideomikroskopie etabliert, welche die Analyse der Zilienschlagfrequenz sowie des mukoziliären Transports ermöglicht. Ebenfalls wurde der Einfluss von isotoner Kochsalzlösung und des � 2-adrenergen Agonisten Salbutamol, das vor allem als Bronchodilatator bei Asthmapatienten eingesetzt wird, auf die Zilienschlagfrequenz analysiert. Es konnte gezeigt werden, dass beide Substanzen den Zilienschlag im Atemwegsmodell erhöhen. Zur Generierung der Testsysteme der beiden seltenen Erkrankungen CF und PCD wurden Epithelzellen der betroffenen Patienten zunächst mittels nicht-invasiver Raman-Spektroskopie auf einen potentiellen Biomarker untersucht, welcher Einsatz in der Diagnostik der beiden Krankheiten finden könnte. Es konnte jedoch weder für die CF noch für die PCD ein Biomarker aufgedeckt werden. Jedoch zeigten PCD-Zellen eine geringe Auftrennung gegenüber nicht-PCD Zellen. Anschließend wurden 3D-Atemwegstestsysteme basierend auf Patientenzellen aufgebaut. Der Phänotyp der CF-Modelle wurde mittels immunhistologischer Färbung und der Analyse des gestörten mukoziliären Transports verifiziert. Strukturelle ziliäre Defekte konnten durch die ultrastrukturelle Analyse von Zilienquerschnitten in drei donorspezifischen PCD-Modellen identifiziert werden. Darüber hinaus konnte die ziliäre Funktionalität mit Hilfe der Hochgeschwindigkeitsvideomikroskopie nicht nachgewiesen werden. Zusammenfassend ist es in dieser Arbeit gelungen, eine neue Methode zur vollständigen Charakterisierung von 3D-Atemwegstestsystemen zu etablieren, die die Analyse der Zilienschlagfrequenz sowie des mukoziliären Transports ermöglicht. Es konnte erstmalig gezeigt werden, dass mit Hilfe des Tissue Engineering ein personalisiertes Krankheitsmodell für die PCD auf Segmenten eines dezellularisierten porzinen Jejunums generiert werden kann, das zukünftig ein Testsystem für potentielle Therapeutika darstellen kann.
Die Regulation der Genexpression steht am Anfang vieler zellbiologischer Prozesse wie beispielsweise dem Zellwachstum oder der Differenzierung. Gene werden an Promotoren transkribiert, wobei ein Promotor selbst aus vielen logischen Einheiten aufgebaut ist, den Transkriptionsfaktorbindestellen (TFBSs). Diese können sehr nah beieinander liegen, aber auch weit entfernt voneinander sein. Sie werden spezifisch von Transkriptionsfaktoren (TFs) gebunden, die die Transkritptionsrate z.B. verstärken (Enhancer) oder schwächen (Silencer) können. Zwei oder mehr dieser TFBSs mit bestimmtem Abstand werden als "Module" zusammengefasst, die über Spezies hinweg konserviert sein können. Typischerweise findet man Module in Zellen mit einem Zellkern. Spezies mit gemeinsamen Modulen können ein Hinweis auf die gemeinsame phylogenetische Abstammung darstellen, aber auch gemeinsame Funktionsmechanismen von TFs über Gene hinweg aufdecken. Heutzutage sind verschiedene Anwendungen verfügbar, mit denen nach TFBSs in DNA gesucht werden kann. Zum Zeitpunkt des Verfassens dieser Arbeit sind aber nur zwei kommerzielle Produkte bekannt, die nicht nur TFBSs, sondern auch Module erkennen. Deshalb stellen wir hier die freie und quelloffene Lösung "AIModules" vor, die diese Lücke füllt und einen Webservice zur Verfügung stellt, der es erlaubt nach TFBSs sowie nach Modulen auf DNA- und auf RNA-Abschnitten zu suchen. Für die Motivesuche werden entweder Matrizen aus der Jaspar Datenbank oder Matrizen vom Anwender verwendet. Darüberhinaus zeigen wir, dass unser Tool für die TF Suche nur Sekunden benötigt, wohingegen conTraV3 mindestens eine Stunde für dieselbe Analyse braucht. Zusätzlich kann der Anwender bei unserem Tool den Grad der Konserviertheit für TFs mit angeben und wir zeigen, dass wir mit unserer Lösung, die die Jaspar Datenbank heranzieht, mehr Module finden, als ein kommerziell verfügbares Produkt. Weiterhin kann mit unserer Lösung auch auf RNA-Sequenzen nach regulatorischen Motiven gesucht werden, wenn der Anwender die dafür nötigen Matrizen liefert. Wir zeigen dies am Beispiel von Polyadenylierungsstellen. Zusammenfassend stellen wir ein Werkzeug vor, das erstens frei und quelloffen ist und zweitens entweder auf Servern veröffentlicht werden kann oder On-Site auf einem Notebook läuft. Unser Tool erlaubt es Promotoren zu analysieren und nach konservierten Modulen sowie TFBSs in Genfamilien sowie nach regulatorischen Elementen in mRNA wie z.B. Polyadenylierungsstellen oder andere regulatorische Elemente wie beispielsweise Enhancern oder Silencern in genomischer DNA zu suchen.
Neisseria meningitidis (the meningococcus) is one of the major causes of bacterial meningitis, a life-threatening inflammation of the meninges. Traversal of the meningeal blood-cerebrospinal fluid barrier (mBCSFB), which is composed of highly specialized brain endothelial cells (BECs), and subsequent interaction with leptomeningeal cells (LMCs) are critical for disease progression. Due to the human-exclusive tropism of N. meningitidis, research on this complex host-pathogen interaction is mostly limited to in vitro studies. Previous studies have primarily used peripheral or immortalized BECs alone, which do not retain relevant barrier phenotypes in culture. To study meningococcal interaction with the mBCSFB in a physiologically more accurate context, BEC-LMC co-culture models were developed in this project using BEC-like cells derived from induced pluripotent stem cells (iBECs) or hCMEC/D3 cells in combination with LMCs derived from tumor biopsies.
Distinct BEC and LMC layers as well as characteristic expression of cellular markers were observed using transmission electron microscopy (TEM) and immunofluorescence staining. Clear junctional expression of brain endothelial tight and adherens junction proteins was detected in the iBEC layer. LMC co-culture increased iBEC barrier tightness and stability over a period of seven days, as determined by sodium fluorescein (NaF) permeability and transendothelial electrical resistance (TEER). Infection experiments demonstrated comparable meningococcal adhesion and invasion of the BEC layer in all models tested, consistent with previously published data. While only few bacteria crossed the iBEC-LMC barrier initially, transmigration rates increased substantially over 24 hours, despite constant high TEER. After 24 hours of infection, deterioration of the barrier properties was observed including loss of TEER and altered expression of tight and adherens junction components. Reduced mRNA levels of ZO-1, claudin-5, and VE-cadherin were detected in BECs from all models. qPCR and siRNA knockdown data suggested that transcriptional downregulation of these genes was potentially but not solely mediated by Snail1. Immunofluorescence staining showed reduced junctional coverage of occludin, indicating N. meningitidis-induced post-transcriptional modulation of this protein, as previous studies have suggested. Together, these results suggest a potential combination of transcellular and paracellular meningococcal traversal of the mBCSFB, with the more accessible paracellular route becoming available upon barrier disruption after prolonged N. meningitidis infection. Finally, N. meningitidis induced cellular expression of pro-inflammatory cytokines and chemokines such as IL-8 in all mBCSFB models. Overall, the work described in this thesis highlights the usefulness of advanced in vitro models of the mBCSFB that mimic native physiology and exhibit relevant barrier properties to study infection with meningeal pathogens such as N. meningitidis.
Abstract:
COVID-19 has impressively shown how quickly an emerging pathogen can have a massive impact on our entire lives and show how infectious diseases spread regardless of national borders and economic stability. We find ourselves in a post-antibiotic era and have rested too long on the laurels of past research, so today more and more people are dying from infections with multi-resistant germs.
Infections are highly plastic and heterogeneous processes that are strongly dependent on the individual, whether on the host or pathogen side.
Improving our understanding of the pathogenicity of microorganisms and finding potential targets for a completely new class of drugs is a declared goal of current basic research. To tackle this challenge, single-cell RNA sequencing (scRNA-seq) is our most accurate tool.
In this thesis we implemented different state of the art scRNA-seq technologies to better understand infectious diseases. Furthermore, we developed a new method which is capable to resolve the transcriptome of a single bacterium. Applying a poly(A)-independent scRNA-seq protocol to three different, infection relevant growth conditions we can report the faithful detection of growth-dependent gene expression patterns in individual Salmonella Typhimurium and Pseudomonas aeruginosa bacteria. The data analysis shows that this method not only allows the differentiation of various culture conditions but can also capture transcripts across different RNA species.
Furthermore, using state of the art imaging and single-cell RNA sequencing technologies, we comprehensively characterized a human intestinal tissue model which in further course of the project was used as a Salmonella enterica serovar Typhimurium infection model. While most infection studies are conducted in mice, lacking a human intestinal physiology, the in vitro human tissue model allows us to directly infer in vivo pathogenesis. Combining immunofluorescent imaging, deep single-cell RNA sequencing and HCR-FISH, applied in time course experiments, allows an unseen resolution for studying heterogeneity and the dynamics of Salmonella infection which reveals details of pathogenicity contrary to the general scientific opinion.
Blumeria graminis, the obligate biotrophic grass powdery mildew, is a highly pathogenic fungus capable of inflicting foliar diseases and of causing severe yield losses. There is asexual and sexual propagation in the life cycle of B. graminis. In the epidemiological processes of this pathogen, both types of spores - asexual conidia and sexual ascospores – are crucial.
Conidia of B. graminis are demonstrated to perceive cuticular very-long-chain aldehydes as molecular signal substances notably promoting germination and differentiation of the infection structure (the appressorium) – the prepenetration processes – in a concentration- and chain-length-dependent manner. Conidial germination and appressorium formation are known to be dramatically impeded by the presence of free water on the host surface. However, sexually formed ascospores are reported to easily germinate immersed in water. There are abundant assays on conidial prepenetration processes. However, with respect to the stimulating effects of very-long-chain aldehydes and to the influence of the presence of free water, ascosporic prepenetration processes are still obscure.
In order to study the effects of very-long-chain aldehydes on the ascosporic prepenetration processes of wheat powdery mildew fungus B. graminis f. sp. tritici, Formvar®-based in vitro systems were applied to exclude the secondary host effects (such as host resistance) and to reproducibly provide homogeneous hydrophobic substratum surfaces. By the presence of even-numbered very-long-chain aldehydes (C22 - C30), the appressorium formation of the ascospores was notably triggered in a chain-length dependent manner. N-octacosanal (C28) was the most inducing aldehyde tested. Unlike conidia, ascospores could easily differentiate immersed in water and showed a more variable differentiation pattern even with a single germ tube differentiating an appressorium.
To evaluate the alternative management against barley powdery mildew fungus Blumeria graminis f. sp. hordei, the suppressing effects of UV-C irradiation on the developmental processes of conidia on artificial surfaces (in vitro) and on host leaf surfaces (in vivo) were assayed. In vitro and in vivo, a single dose of 100 J m-2 UV-C was adequate to decrease conidial germination to < 20 % and to reduce appressorium formation to values < 5 %. UV-C irradiation negatively affected colony pustule size and vegetative propagation. Under photoperiodic conditions of 2h light/16h dark, 6h dark/12h light or 6h dark/18h light, UV-C-treated conidia showed photoreactivation (photo-recovery). White light-mediated photoreactivation was most effective immediately after UV-C irradiation, suggesting that a prolonged phase of darkness after UV-C application increased the efficacy of management against B. graminis. UV-C irradiation increased transcript levels of three putative photolyase genes in B. graminis, indicating those were probably involved in photoreactivation processes. However, mere white light or blue light (wavelength peak, 475 nm) could not induce the up-regulation of these genes.
To determine whether visible light directly impacted the prepenetration and penetration processes of this powdery mildew pathogen, conidia of Blumeria graminis f. sp. hordei and Blumeria graminis f. sp. tritici were inoculated onto artificial surfaces and on host leaf surfaces. Samples were analyzed after incubation periods under light conditions (white light intensity and spectral quality). Increasing white light intensities directly impaired conidial prepenetration processes in vitro but not in vivo. Applying an agar layer under the wax membrane compensated for conidial water loss as a consequence of high white light irradiation. Light stimulated in vitro and in vivo the appressorium elongation of B. graminis in a wavelength-dependent manner. Red light was more effective to trigger the elongation of appressorium than blue light or green light assayed.
Taken together, the findings of this study demonstrate that 1) a host surface recognition principle based on cuticular very-long-chain aldehydes is a common feature of B. graminis f. sp. tritici ascospores and conidia; 2) the transcriptional changes of three putative photolyase genes in B. graminis are mediated in a UV-C-dependent manner; 3) light directly affected the (pre)penetration processes of B. graminis.
In this work models for molecular networks consisting of ordinary differential equations are extended by terms that include the interaction of the corresponding molecular network with the environment that the molecular network is embedded in. These terms model the effects of the external stimuli on the molecular network. The usability of this extension is demonstrated with a model of a circadian clock that is extended with certain terms and reproduces data from several experiments at the same time.
Once the model including external stimuli is set up, a framework is developed in order to calculate external stimuli that have a predefined desired effect on the molecular network. For this purpose the task of finding appropriate external stimuli is formulated as a mathematical optimal control problem for which in order to solve it a lot of mathematical methods are available. Several methods are discussed and worked out in order to calculate a solution for the corresponding optimal control problem. The application of the framework to find pharmacological intervention points or effective drug combinations is pointed out and discussed. Furthermore the framework is related to existing network analysis tools and their combination for network analysis in order to find dedicated external stimuli is discussed.
The total framework is verified with biological examples by comparing the calculated results with data from literature. For this purpose platelet aggregation is investigated based on a corresponding gene regulatory network and associated receptors are detected. Furthermore a transition from one to another type of T-helper cell is analyzed in a tumor setting where missing agents are calculated to induce the corresponding switch in vitro. Next a gene regulatory network of a myocardiocyte is investigated where it is shown how the presented framework can be used to compare different treatment strategies with respect to their beneficial effects and side effects quantitatively. Moreover a constitutively activated signaling pathway, which thus causes maleficent effects, is modeled and intervention points with corresponding treatment strategies are determined that steer the gene regulatory network from a pathological expression pattern to physiological one again.
Genetic foundation of unrivaled survival strategies - Of water bears and carnivorous plants -
(2018)
All living organisms leverage mechanisms and response systems to optimize reproduction, defense, survival, and competitiveness within their natural habitat. Evolutionary theories such as the universal adaptive strategy theory (UAST) developed by John Philip Grime (1979) attempt to describe how these systems are limited by the trade-off between growth, maintenance and regeneration; known as the universal three-way trade-off. Grime introduced three adaptive strategies that enable organisms to coop with either high or low intensities of stress (e.g., nutrient deficiency) and environmental disturbance (e.g., seasons). The competitor is able to outcompete other organisms by efficiently tapping available resources in environments of low intensity stress and disturbance (e.g., rapid growers). A ruderal specism is able to rapidly complete the life cycle especially during high intensity disturbance and low intensity stress (e.g., annual colonizers). The stress tolerator is able to respond to high intensity stress with physiological variability but is limited to low intensity disturbance environments. Carnivorous plants like D. muscipula and tardigrades like M. tardigradum are two extreme examples for such stress tolerators. D. muscipula traps insects in its native habitat (green swamps in North and South Carolina) with specialized leaves and thereby is able to tolerate nutrient deficient soils. M. tardigradum on the other side, is able to escape desiccation of its terrestrial habitat like mosses and lichens which are usually covered by a water film but regularly fall completely dry. The stress tolerance of the two species is the central study object of this thesis. In both cases, high througput sequencing data and methods were used to test for transcriptomic (D. muscipula) or genomic adaptations (M. tardigradum) which underly the stress tolerance. A new hardware resource including computing cluster and high availability storage system was implemented in the first months of the thesis work to effectively analyze the vast amounts of data generated for both projects. Side-by-side, the data management resource TBro [14] was established together with students to intuitively approach complex biological questions and enhance collaboration between researchers of several different disciplines. Thereafter, the unique trapping abilities of D. muscipula were studied using a whole transcriptome approach. Prey-dependent changes of the transcriptional landscape as well as individual tissue-specific aspects of the whole plant were studied. The analysis revealed that non-stimulated traps of D. muscipula exhibit the expected hallmarks of any typical leaf but operates evolutionary conserved stress-related pathways including defense-associated responses when digesting prey. An integrative approach, combining proteome and transcriptome data further enabled the detailed description of the digestive cocktail and the potential nutrient uptake machinery of the plant. The published work [25] as well as a accompanying video material (https://www.eurekalert.org/pub_releases/ 2016-05/cshl-fgr042816.php; Video credit: Sönke Scherzer) gained global press coverage and successfully underlined the advantages of D. muscipula as experimental system to understand the carnivorous syndrome. The analysis of the peculiar stress tolerance of M. tardigradum during cryptobiosis was carried out using a genomic approach. First, the genome size of M. tardigradum was estimated, the genome sequenced, assembled and annotated. The first draft of M. tardigradum and the workflow used to established its genome draft helped scrutinizing the first ever released tardigrade genome (Hypsibius dujardini) and demonstrated how (bacterial) contamination can influence whole genome analysis efforts [27]. Finally, the
M. tardigradum genome was compared to two other tardigrades and all species present in the current release of the Ensembl Metazoa database. The analysis revealed that tardigrade genomes are not that different from those of other Ecdysozoa. The availability of the three genomes allowed the delineation of their phylogenetic position within the Ecdysozoa and placed them as sister taxa to the nematodes. Thereby, the comparative analysis helped to identify evolutionary trends within this metazoan lineage. Surprisingly, the analysis did not reveal general mechanisms (shared by all available tardigrade genomes) behind the arguably most peculiar feature of tardigrades; their enormous stress tolerance. The lack of molecular evidence for individual tardigrade species (e.g., gene expression data for M. tardigradum) and the non-existence of a universal experimental framework which enables hypothesis testing withing the whole phylum Tardigrada, made it nearly impossible to link footprints of genomic adaptations to the unusual physiological capabilities. Nevertheless, the (comparative) genomic framework established during this project will help to understand how evolution tinkered, rewired and modified existing molecular systems to shape the remarkable phenotypic features of tardigrades.
Pertussis is a highly contagious acute respiratory disease of humans which is mainly caused by the gram-negative obligate human pathogen Bordetella pertussis. Despite the availability and extensive use of vaccines, the disease persists and has shown periodic re-emergence resulting in an estimated 640,000 deaths worldwide in 2014. The pathogen expresses various virulence factors that enable it to modulate the host immune response, allowing it to colonise the ciliated airway mucosa. Many of these factors also directly interfere with host signal transduction systems, causing damage to the ciliated airway mucosa and increase mucous production. Of the many virulence factors of B. pertussis, only the tracheal cytotoxin (TCT) is able to recapitulate the pathophysiology of ciliated cell extrusion and blebbing in animal models and in human nasal biopsies. Furthermore, due to the lack of appropriate human models and donor materials, the role of bacterial virulence factors has been extrapolated from studies using animal models infected with either B. pertussis or with the closely related species B. bronchiseptica which naturally causes respiratory infections in these animals and produces many similar virulence factors. Thus, in the present work, in vitro airway mucosa models developed by co-culturing human airway epithelia cells and fibroblasts from the conduction zone of the respiratory tract on a decellularized porcine small intestine submucosa scaffold (SISser®) were used, since these models have a high correlation to native human conducting zone respiratory epithelia. The major aim was to use the engineered airway mucosa models to elucidate the contribution of B. pertussis TCT in the pathophysiology of the disease as well as the virulence mechanism of B. pertussis in general. TCT and lipopolysaccharide (LPS) either alone or in combination were observed to induce epithelial cell blebbing and necrosis in the in vitro airway mucosa model. Additionally, the toxins induced viscous hyper-mucous secretion and significantly disrupted barrier properties of the in vitro airway mucosa models. This work also sought to assess the invasion and intracellular survival of B. pertussis in the polarised epithelia, which has been critically discussed for many years in the literature. Infection of the models with B. pertussis showed that the bacteria can adhere to the models and invade the epithelial cells as early as 6 hours post inoculation. Invasion and intracellular survival assays indicated the bacteria could invade and persist intracellularly in the epithelial cells for up to 3 days. Due to the novelty of the in vitro airway mucosa models, this work also intended to establish a method for isolating individual cells for scRNA-seq after infection with B. pertussis. Cold dissociation with Bacillus licheniformis subtilisin A was found to be capable of dissociating the cells without inducing a strong fragmentation, a problem which occurs when collagenase and trypsin/EDTA are used. In summary, the present work showed that TCT acts possibly in conjunction with LPS to disrupt the human airway mucosa much like previously shown in the hamster tracheal ring models and thus appears to play an important role during the natural B. pertussis infection. Furthermore, we established a method for infecting and isolating infected cells from the airway mucosa models in order to further investigate the effect of B. pertussis infection on the different cell populations in the airway by single cell analytics in the future.
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.