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Patients diagnosed with the rare autoimmune disease of Stiff Person Syndrome (SPS) suffer from varying motor symptoms mainly characterized by painful spasms and muscle stiffness. Among patients suffering from Stiff Person spectrum, clinical presentation, course of disease and treatment responses also differ. Regardless of disease severity, which ranges from mild and intermittent motor impairments to the most severe form progressive encephalomyelitis with rigidity and myoclonus (PERM), autoantibodies are the underlying cause. One of the autoantibody targets associated with SPS is the glycine receptor (GlyR). Functional impairment of this protein interferes with inhibitory signal transmission in the central nervous system and subsequently causes motor symptoms. Similar to functional alterations of the GlyR upon autoantibody binding, GlyR function can be altered in patients with mutations in genes encoding GlyR subunits. Such mutations underlie hereditary hyperekplexia. Understanding the GlyR physiology and how different molecular mechanisms contribute to disease pathology is crucial for development of more targeted and effective disease options.
Therefore, novel GlyR β subunit mutations identified in hyperekplexia patients were investigated towards their expression, trafficking and receptor function. The findings suggest that impaired recruitment into functional receptors at the synapses might underlie the functional alterations revealed by electrophysiological recordings for most cases.
To unravel the autoantibody-related pathology causing the highly diverse clinical appearance of the Stiff Person spectrum, antibody binding abilities were studied. Neutralization assays confirmed that presence of the entire target protein, a sub-domain or a short peptide eliminates the autoantibodies from patient samples. Epitope characterization using residue exchanges within the GlyR in cell-based assays uncovered that GlyR autoantibody epitopes are polyclonal and their combination is patient-specific. Tissue-based binding assays emphasized the high variability in autoantibody distribution within spinal cord and brain sections regardless of the patients’ primary diagnosis. The irregular binding patterns among the patient groups of SPS, PERM, epilepsy and ‘others’ reflected the variation in the symptomatic arrangement. Passive transfer of GlyR autoantibodies from patients with different courses and severity of disease similarly revealed variable effects on murine motor and anxiety-related behavior. The detected small effects on motor function and post-mortem analyses indicate glycinergic disorganization and a possible onset of compensatory mechanisms.
Altogether, this study demonstrates that GlyR impairment is patient-specific and of greater variability than expected.
The evolutionary success of higher plants is largely attributed to their tremendous developmental
plasticity, which allows them to cope with adverse conditions. However, because these adaptations
require investments of resources, they must be tightly regulated to avoid unfavourable trade-offs.
Most of the resources required are macronutrients based on carbon and nitrogen. Limitations in the
availability of these nutrients have major effects on gene expression, metabolism, and overall plant
morphology. These changes are largely mediated by the highly conserved master kinase SNF1-RELATED
PROTEIN KINASE1 (SnRK1), which represses growth and induces catabolic processes. Downstream of
SnRK1, a hub of heterodimerising group C and S1 BASIC LEUCINE ZIPPER (bZIP) transcription factors has
been identified. These bZIPs act as regulators of nutrient homeostasis and are highly expressed in
strong sink tissues, such as flowers or the meristems that initiate lateral growth of both shoots and
roots. However, their potential involvement in controlling developmental responses through their
impact on resource allocation and usage has been largely neglected so far. Therefore, the objective of
this work was to elucidate the impact of particularly S1 bZIPs on gene expression, metabolism, and
plant development.
Due to the high homology and suspected partial redundancy of S1 bZIPs, higher order loss-of-function
mutants were generated using CRISPR-Cas9. The triple mutant bzip2/11/44 showed a variety of robust
morphological changes but maintained an overall growth comparable to wildtype plants. In detail
however, seedlings exhibited a strong reduction in primary root length. In addition, floral transition
was delayed, and siliques and seeds were smaller, indicating a reduced supply of resources to the shoot
and root apices. However, lateral root density and axillary shoot branching were increased, suggesting
an increased ratio of lateral to apical growth in the mutant. The full group S1 knockout
bzip1/2/11/44/53 showed similar phenotypes, albeit far more pronounced and accompanied by
growth retardation. Metabolomic approaches revealed that these architectural changes were
accompanied by reduced sugar levels in distal sink tissues such as flowers and roots. Sugar levels were
also diminished in leaf apoplasts, indicating that long distance transport of sugars by apoplastic phloem
loading was impaired in the mutants. In contrast, an increased sugar supply to the proximal axillary
buds and elevated starch levels in the leaves were measured. In addition, free amino acid levels were
increased in bzip2/11/44 and bzip1/2/11/44/53, especially for the important transport forms
asparagine and glutamine. The increased C and N availability in the proximal tissues could be the cause
of the increased axillary branching in the mutants.
To identify bZIP target genes that might cause the observed shifts in metabolic status, RNAseq
experiments were performed. Strikingly, clade III SUGARS WILL EVENTUALLY BE EXPORTED (SWEET)
8
genes were abundant among the differentially expressed genes. As SWEETs are crucial for sugar export
to the apoplast and long-distance transport through the phloem, their reduced expression is likely to
be the cause of the observed changes in sugar allocation. Similarly, the reduced expression of
GLUTAMINE AMIDOTRANSFERASE 1_2.1 (GAT1_2.1), which exhibits glutaminase activity, could be an
explanation for the abundance of glutamine in the mutants. Additional experiments (ATAC-seq, DAPseq, PTA, q-RT-PCR) supported the direct induction of SWEETs and GAT1_2.1 by S1 bZIPs. To confirm
the involvement of these target genes in the observed S1 bZIP mutant phenotypes, loss-of-function
mutants were obtained, which showed moderately increased axillary branching. At the same time, the
induced overexpression of bZIP11 in axillary meristems had the opposite effect.
Collectively, a model is proposed for the function of S1 bZIPs in regulating sink tissue development. For
efficient long-distance sugar transport, bZIPs may be required to induce the expression of clade III
SWEETs. Thus, reduced SWEET expression in the S1 bZIP mutants would lead to a decrease in apoplastic
sugar loading and a reduced supply to distal sinks such as shoot or root apices. The reduction in longdistance transport could lead to sugar accumulation in the leaves, which would then increasingly be
transported via symplastic routes towards proximal sinks such as axillary branches and lateral roots or
sequestered as starch. The reduced GAT1_2.1 levels lead to an abundance of glutamine, a major
nitrogen transport form. The combined effect on C and N allocation results in increased nutrient
availability in proximal tissues, promoting the formation of lateral plant organs. Alongside emerging
evidence highlighting the power of bZIPs to steer nutrient allocation in other species, a novel but
evolutionary conserved role for S1 bZIPs as regulators of developmental plasticity is proposed, while
the generation of valuable data sets and novel genetic resources will help to gain a deeper
understanding of the molecular mechanisms involved
Integrative, three-dimensional \(in\) \(silico\) modeling of gas exchange in the human alveolus
(2024)
The lung plays a vital role by exchanging respiratory gases. At the core of this gas exchange is a simple yet crucial passive diffusion process occurring within the alveoli. These balloon-like structures, connected to the peripheral airways, are surrounded by a dense network
of small capillaries. Here, inhaled air comes into close proximity with deoxygenated blood coming from the heart, enabling the exchange of oxygen and carbon dioxide across their concentration gradients.
The efficiency of gas exchange can be measured through indicators such as the diffusion capacity of the lung for oxygen and the reaction half-time. A notable discrepancy exists in humans between physiological estimates of diffusion capacity and the theoretical maximum capacity under optimal structural conditions (morphological estimate). This discrepancy is influenced by a range of interrelated factors, including structural elements like the surface area and thickness of the diffusion barrier, as well as physiological factors such as blood flow dynamics. To unravel the different roles of these factors, we investigated how morphological and physiological properties of the human alveolar micro-environment collectively and individually influence the process of gas exchange. To this end, we developed an integrative in silico approach combining 3D morphological modeling and simulation of blood flow and of oxygen transport.
At the core of our approach lies the simulation software Alvin, serving as an interactive platform for the underlying mathematical model of oxygen transport within the alveolus. Developed by integrating and expanding existing mathematical models, our spatio-temporal model produces results in agreement with experimental data. Alvin allows for real-time parameter adjustments and the execution of multiple simultaneous simulation instances and provides detailed quantitative feedback, offering an immersive exploration of the simulated gas exchange process. The morphological and physiological parameters at play were further investigated with a focus on the microvasculature. By compiling a stereological database from the literature and 3D geometric modeling, we created a sheet-flow model as a realistic representation of the morphology of the human alveolar capillary network. Blood flow was simulated using computational fluid dynamics. Our findings were in line with previous estimations and highlighted the crucial role of viscosity models in predicting pressure drop across the microvasculature. Furthermore, we showcased how our approach can be harnessed to explore structural details, such as the connectivity of the alveolar capillary network with the vascular tree, using blood flow indices. It is important to emphasize that
so far we have relied on different data sources and that experimental validation is needed to move forward.
Integration of our findings into Alvin allowed quantification of the simulated gas exchange process through the diffusion capacity for oxygen and reaction half-time. In addition to evaluating the collective influences of the morphological and physiological properties, our interactive software facilitates the assessment of individual parameter value changes. Exploring blood volume and surface area available for gas exchange revealed linear correlations with diffusion capacity. The blood flow velocity had a positive, non-linear effect on diffusion capacity. The reaction half-time confirmed that under normal conditions, the gas exchange process is not diffusion-limited. Collectively, our alveolar model yielded a diffusion capacity value that fell in the middle of previous physiological and morphological estimates, implying that alveolar-level phenomena contribute to 50% of the diffusion capacity limitations that occur in vivo.
In summary, our integrative in silico approach disentangles various structural and functional influences on alveolar gas exchange, complementing traditional investigations in respiratory
research. We further showcase its utility in teaching and the interpretation of published data. To advance our understanding, future work should prioritize obtaining a cohesive experimental data set and identifying an appropriate viscosity model for blood flow simulations.
According to the WHO, foodborne derived enteric infections are a global disease burden and often manifest in diseases that can potentially reach life threatening levels, especially in developing countries. These diseases are caused by a variety of enteric pathogens and affect the gastrointestinal tract, from the gastric to the intestinal to the rectal tissue. Although the complex mucosal structure of these organs is usually well prepared to defend the body against harmful agents, specialised pathogens such as Salmonella enterica can overcome the intestinal defence mechanism. After ingestion, Salmonella are capable of colonising the gut and establishing their proliferative niche, thereby leading to inflammatory processes and tissue damage of the host epithelium. In order to understand these processes, the scientific community in the last decades mostly used cell line based in vitro approaches or in vivo animal studies. Although these approaches provide fundamental insights into the interactions between bacteria and host cells, they have limited applicability to human pathology. Therefore, tissue engineered primary based approaches are important for modern infection research. They exhibit the human complexity better than traditional cell lines and can mimic human-obligate processes in contrast to animal studies.
Therefore, in this study a tissue engineered human primary model of the small intestinal epithelium was established for the application of enteric infection research with the exemplary pathogen Salmonella Typhimurium.
To this purpose, adult stem cell derived intestinal organoids were used as a primary human cell source to generate monolayers on biological or synthetic scaffolds in a Transwell®-like setting. These tissue models of the intestinal epithelium were examined for their comparability to the native tissue in terms of morphology, morphometry and barrier function. Further, the gene expression profiles of organotypical mucins, tight junction-associated proteins and claudins were investigated. Overall, the biological scaffold-based tissue models showed higher similarity to the native tissue - among others in morphometry and polarisation. Therefore, these models were further characterised on cellular and structural level. Ultrastructural analysis demonstrated the establishment of characteristic microvilli and tight-junction connections between individual epithelial cells. Furthermore, the expression pattern of typical intestinal epithelial protein was addressed and showed in vivo-like localisation. Interested in the cell type composition, single cell transcriptomic profiling revealed distinct cell types including proliferative cells and stem cells, progenitors, cellular entities of the absorptive lineage, Enterocytes and Microfold-like cells. Cells of the secretory lineage were also annotated, but without distinct canonical gene expression patterns. With the organotypical polarisation, protein expression, structural features and the heterogeneous cell composition including the rare Microfold-like cells, the biological scaffold-based tissue model of the intestinal epithelium demonstrates key requisites needed for infection studies with Salmonella.
In a second part of this study, a suitable infection protocol of the epithelial tissue model with Salmonella Typhimurium was established, followed by the examination of key features of the infection process. Salmonella adhered to the epithelial microvilli and induced typical membrane ruffling during invasion; interestingly the individual steps of invasion could be observed. After invasion, time course analysis showed that Salmonella resided and proliferated intracellularly, while simultaneously migrating from the apical to the basolateral side of the infected cell. Furthermore, the bacterial morphology changed to a filamentous phenotype; especially when the models have been analysed at late time points after infection. The epithelial cells on the other side released the cytokines Interleukin 8 and Tumour Necrosis Factor α upon bacterial infection in a time-dependent manner. Taken together, Salmonella infection of the intestinal epithelial tissue model recapitulates important steps of the infection process as described in the literature, and hence demonstrates a valid in vitro platform for the investigation of the Salmonella infection process in the human context.
During the infection process, intracellular Salmonella populations varied in their bacterial number, which could be attributed to increased intracellular proliferation and demonstrated thereby a heterogeneous behaviour of Salmonella in individual cells. Furthermore, by the application of single cell transcriptomic profiling, the upregulation of Olfactomedin-4 (OLFM4) gene expression was detected; OLFM4 is a protein involved in various functions including cell immunity as well as proliferating signalling pathways and is often used as intestinal stem cell marker. This OLFM4 upregulation was time-dependent, restricted to Salmonella infected cells and seemed to increase with bacterial mass. Investigating the OLFM4 regulatory mechanism, nuclear factor κB induced upregulation could be excluded, whereas inhibition of the Notch signalling led to a decrease of OLFM4 gene and protein expression. Furthermore, Notch inhibition resulted in decreased filamentous Salmonella formation. Taken together, by the use of the introduced primary epithelial tissue model, a heterogeneous intracellular bacterial behaviour was observed and a so far overlooked host cell response – the expression of OLFM4 by individual infected cells – could be identified; although Salmonella Typhimurium is one of the best-studied enteric pathogenic bacteria. This proves the applicability of the introduced tissue model in enteric infection research as well as the importance of new approaches in order to decipher host-pathogen interactions with higher relevance to the host.
Die Na+ /K+ -ATPase (NKA) ist maßgeblich an der Regulation der kardialen Na+ -Homöostase beteilligt. Im Myokard werden hauptsächlich zwei Isoformen exprimiert: die α1 (NKA-α1) und die α2-Isoform (NKA-α2). Diese beiden Isoformen unterscheiden sich sowohl in ihrer Lokalisation als auch in ihrer zellulären Funktion. So ist die NKA-α1 recht homogen entlang des Sarkolemms zu finden und ist verantwortlich für die Regulation der globalen intrazellulären Na+ -Konzentration ([Na+ ]i). Die NKA-α2 hingegen konzentriert sich hauptsächlich in den T-Tubuli und beeinflusst über Veränderung der lokalen [Na+ ]i die Ca2+ -Transienten und die Kontraktilität. Im Rahmen einer Herzinsuffizienz wurde eine verminderte Expression und Aktivität der NKA beobachtet. Gleichzeitig werden Inhibitoren der NKA, sogenannte Digitalisglykoside, in fortgeschrittenen Herzinsuffizienz-Stadien eingesetzt. Die Studienlage über den Einsatz dieser Therapeutika ist recht uneinheitlich und reicht von einer verringerten Hospitalisierung bis hin zu einer erhöhten Mortalität. Ziel dieser Arbeit war es die Folgen einer NKA-α2 Aktivierung während einer Herzinsuffizienz mit Hilfe eines murinen Überexpressionsmodells zu analysieren. 11-Wochen alte Mäuse mit einer kardialen NKA-α2 Überexpression (NKA-α2) und Wildtyp (WT) Versuchstiere wurden einem 8-wöchigen Myokardinfarkt (MI) unterzogen. NKA-α2 Versuchstiere waren vor einem pathologischem Remodeling und einer kardialen Dysfunktion geschützt. NKA-α2 Kardiomyozyten zeigten eine erhöhte Na+ /Ca2+ -Austauscher (NCX) Aktivität, die zu niedrigeren diastolischen und systolischen Ca2+ -Spiegeln führte und einer Ca2+ -Desensitisierung der Myofibrillen entgegenwirkte. WT Versuchstiere zeigten nach chronischem MI eine sarkoplasmatische Ca2+ -Akkumulation, die in NKA-α2 Kardiomyozyten ausblieb. Gleichzeitig konnte in der NKA-α2 MI Kohorte im Vergleich zu den WT MI Versuchstieren eine erhöhte Expression von β1-adrenergen Rezeptoren (β1AR) beobachtet werden, die eine verbesserte Ansprechbarkeit gegenüber β-adrenergen Stimuli bewirkte. Zudem konnte in unbehandelten Versuchstieren eine Interaktion zwischen NKA-α2 und dem β1AR nachgewiesen werden, welche in der WT Kohorte größer ausfiel als in der NKA-α2 Versuchsgruppe. Gleichzeitig zeigten unbehandelte NKA-α2 Kardiomyozyten eine erhöhte Sensitivität gegenüber β-adrenerger Stimulation auf, welche nicht mit einer erhöhten Arrhythmie-Neigung oder vermehrten Bildung reaktiver Sauerstoffspezies einherging. Diese Untersuchungen zeigen, dass eine NKA-α2 Überexpression vor pathologischem Remodeling und einer kardialen Funktionbeeinträchtigung schützt, indem eine systolische, diastolische und sarkoplasmatische Ca2+ -Akkumulation verhindert wird. Gleichzeitig wird die β1AR Expression stabilisert, wodurch es zu einer verminderten neurohumoralen Aktivierung und einer Durchbrechung des Circulus vitiosus kommen könnte. Insgesamt scheint eine Aktivierung der NKA-α2 durchaus ein vielversprechendes Target in der Herzinsuffizienz Therapie darzustellen.
Therapie darzustellen.
The behavior of honeybees and bumblebees relies on a constant sensory integration of abiotic or biotic stimuli. As eusocial insects, a sophisticated intraspecific communication as well as the processing of multisensory cues during foraging is of utter importance. To tackle the arising challenges, both honeybees and bumblebees have evolved a sophisticated olfactory and visual processing system.
In both organisms, olfactory reception starts at the antennae, where olfactory sensilla cover the antennal surface in a sex-specific manner. These sensilla house olfactory receptor neurons (ORN) that express olfactory receptors. ORNs send their axons via four tracts to the antennal lobe (AL), the prime olfactory processing center in the bee brain. Here, ORNs specifically innervate spheroidal structures, so-called glomeruli, in which they form synapses with local interneurons and projection neurons (PN). PNs subsequently project the olfactory information via two distinct tracts, the medial and the lateral antennal-lobe tract, to the mushroom body (MB), the main center of sensory integration and memory formation. In the honeybee calyx, the sensory input region of the MB, PNs synapse on Kenyon cells (KC), the principal neuron type of the MB. Olfactory PNs mainly innervate the lip and basal ring layer of the calyx. In addition, the basal ring receives input from visual PNs, making it the first site of integration of visual and olfactory information. Visual PNs, carrying sensory information from the optic lobes, send their terminals not only to the to the basal ring compartment but also to the collar of the calyx. Receiving olfactory or visual input, KCs send their axons along the MB peduncle and terminate in the main output regions of the MB, the medial and the vertical lobe (VL) in a layer-specific manner. In the MB lobes, KCs synapse onto mushroom body output neurons (MBON). In so far barely understood processes, multimodal information is integrated by the MBONs and then relayed further into the protocerebral lobes, the contralateral brain hemisphere, or the central brain among others.
This dissertation comprises a dichotomous structure that (i) aims to gain more insight into the olfactory processing in bumblebees and (ii) sets out to broaden our understanding of visual processing in honeybee MBONs.
The first manuscript examines the olfactory processing of Bombus terrestris and specifically investigates sex-specific differences. We used behavioral (absolute conditioning) and electrophysiological approaches to elaborate the processing of ecologically relevant odors (components of plant odors and pheromones) at three distinct levels, in the periphery, in the AL and during olfactory conditioning. We found both sexes to form robust memories after absolute conditioning and to generalize towards the carbon chain length of the presented odors. On the contrary, electroantennographic (EAG) activity showed distinct stimulus and sex-specific activity, e.g. reduced activity towards citronellol in drones. Interestingly, extracellular multi-unit recordings in the AL confirmed stimulus and sex-specific differences in olfactory processing, but did not reflect the differences previously found in the EAG. Here, farnesol and 2,3-dihydrofarnesol, components of sex-specific pheromones, show a distinct representation, especially in workers, corroborating the results of a previous study. This explicitly different representation suggests that the peripheral stimulus representation is an imperfect indication for neuronal representation in high-order neuropils and ecological importance of a specific odor.
The second manuscript investigates MBONs in honeybees to gain more insights into visual processing in the VL. Honeybee MBONs can be categorized into visually responsive, olfactory responsive and multimodal. To clarify which visual features are represented at this high-order integration center, we used extracellular multi-unit recordings in combination with visual and olfactory stimulation. We show for the first time that information about brightness and wavelength is preserved in the VL. Furthermore, we defined three specific classes of visual MBONs that distinctly encode the intensity, identity or simply the onset of a stimulus. The identity-subgroup exhibits a specific tuning towards UV light. These results support the view of the MB as the center of multimodal integration that categorizes sensory input and subsequently channels this information into specific MBON populations.
Finally, I discuss differences between the peripheral representations of stimuli and their distinct processing in high-order neuropils. The unique activity of farnesol in manuscript 1 or the representation of UV light in manuscript 2 suggest that the peripheral representation of a stimulus is insufficient as a sole indicator for its neural activity in subsequent neuropils or its putative behavioral importance. In addition, I discuss the influence of hard-wired concepts or plasticity induced changes in the sensory pathways on the processing of such key stimuli in the peripheral reception as well as in high-order centers like the AL or the MB. The MB as the center of multisensory integration has been broadly examined for its olfactory processing capabilities and receives increasing interest about its visual coding properties. To further unravel its role of sensory integration and to include neglected modalities, future studies need to combine additional approaches and gain more insights on the multimodal aspects in both the input and output region.
Depressive disorders represent one of the main sources for the loss of healthy years of life. One of the reasons for this circumstance is the recurrent course of these disorders, which can be interrupted by current therapeutic approaches, especially in the shortterm, but seem to be maintained at least in part in the long-term. Subsequently, on one hand, this thesis deals with methodological measurement issues in the longitudinal prediction of depressive courses. On the other hand, it addresses two currently discussed neuroscience-based treatment approaches, which are investigated experimentally in a basic-psychological manner and reviewed in the light of their potential to translate results to the application in patient care. These two approaches each address potential mechanisms that may negatively impact long-term disease trajectories: First, stable endophenotypes for vulnerability factors that could regain control over the organism and reactivate maladaptive experiences, or behaviors with increasing temporal distance from therapeutic methods are focused on. In the studies presented, these were influenced by a recently rediscovered method of neuromodulation (transcranial low-intensity focused ultrasound) which is discussed in light of its unique capability to address even deepest, subcortical regions at a high spatial resolution. Lastly, as a second approach, an experimental design for the use of reconsolidation interference is presented, which could provide a first insight into the applicability of corresponding protocols in the field of depressive disorders and thus contribute to the modification, instead of inhibition, of already mentioned endophenotypes. In sum, methodological considerations for monitoring and predicting long-term courses of depression are deducted before two approaches are discussed that could potentially exert positive influences on the recurrent nature of depressive symptoms on their own, in combination with each other, or as augmentation for existing therapeutic procedures.
The epithelial layer of the gastrointestinal (GI) tract provides a barrier between the environment and the body. Dysfunction of the epithelium, including changes of the innate immune response facilitated by pattern recognition receptors (PRRs), plays a major role in the development of GI disorders. However, the organization of innate immune sensing, the expression and activity of PRRs and the factors contri¬buting to such possible organization along the GI tract are unclear. In recent years, stem cell-derived organoids gained increasing attention as promising tissue models. Here, a biobank of human and murine organoids comprising three lines from each GI segment; corpus, pylorus, duodenum, jejunum, ileum, colon was generated. RNA sequencing of 42 lines confirmed the preservation of tissue identity and revealed an extensive organization of innate immune signaling components along the cephalocaudal axis, giving each segment a specific innate immune profile. Comple-menting the region-specific expression analysis, several PRRs in human and murine organoids showed region- and species-specific function. To investigate the factors contributing to the patterning of innate immunity in the GI tract, the impact of microbial components was analyzed using murine embryo-derived, never colonized gastric and proximal intestinal organoids. Transcriptional profiling of embryo-derived organoids showed that while expression of some PRRs may depend on environmental cues as expected, an unexpectedly large part of segment-specific expression of PRR signaling components is independent of prior contact with microbial products. Further, analysis of published RNA-seq data as well as in vitro experiments using directed differentiation of organoids into specific cell types showed that expression of innate immune gene also depended on cellular differentiation along the crypt-villus axis. This underlined the importance of cellular differentiation rather than contact to microbial compounds for expression of PRRs. Lastly, analysis of published datasets of RNA-seq and ATAC-seq after knockout of the intestinal transcription factor Cdx2 demonstrated that Cdx2 is likely important for the expression of Nlrp6 and Naip1 in the murine intestine. Future experiments have to support these preliminary findings. Taken together, the expression of a large part of epithelial innate immunity is develop¬mentally defined and conserved in tissue-resident stem cells. The identification of mechanisms governing expression of genes related to immunity will provide further insights into the mechanisms that play a role in the progress of inflammatory diseases.
Significant advances in fluorescence imaging techniques enable life scientists today to gain insights into biological systems at an unprecedented scale. The interpretation of image features in such bioimage datasets and their subsequent quantitative analysis is referred to as bioimage analysis. A substantial proportion of bioimage analyses is still performed manually by a human expert - a tedious process that is long known to be subjective. Particularly in tasks that require the annotation of image features with a low signal-to-noise ratio, like in fluorescence images of tissue samples, the inter-rater agreement drops. However, like any other scientific analysis, also bioimage analysis has to meet the general quality criteria of quantitative research, which are objectivity, reliability, and validity. Thus, the automation of bioimage analysis with computer-aided approaches is highly desirable. Albeit conventional hard-coded algorithms are fully unbiased, a human user has to set its respective feature extraction parameters. Thus, also these approaches can be considered subjective.
Recently, deep learning (DL) has enabled impressive advances in computer vision research. The predominant difference between DL and conventional algorithms is the capability of DL models to learn the respective task on base of an annotated training dataset, instead of following user-defined rules for feature extraction. This thesis hypothesized that DL can be used to increase the objectivity, reliability, and validity of bioimage analyses, thus going beyond mere automation. However, in absence of ground truth annotations, DL models have to be trained on manual and thus subjective annotations, which could cause the model to incorporate such a bias. Moreover, model training is stochastic and even training on the same data could result in models with divergent outputs. Consequently, both the training on subjective annotations and the model-to-model variability could impair the quality of DL-based bioimage analyses. This thesis systematically assessed the impacts of these two limitations experimentally by analyzing fluorescence signals of a protein called cFOS in mouse brain sections. Since the abundance of cFOS correlates with mouse behavior, behavioral analyses could be used for cross-validation of the bioimage analysis results. Furthermore, this thesis showed that pooling the input of multiple human experts during model training and integration of multiple trained models in a model ensemble can mitigate the impact of these limitations. In summary, the present study establishes guidelines for how DL can be used to increase the general quality of bioimage analyses.
These days, treatment of melanoma patients relies on targeted therapy with BRAF/MEK inhibitors and on immunotherapy. About half of all patients initially respond to existing therapies. Nevertheless, the identification of alternative therapies for melanoma patients with intrinsic or acquired resistance is of great importance. In melanoma, antioxidants play an essential role in the maintenance of the redox homeostasis. Therefore, disruption of the redox homeostasis is regarded as highly therapeutically relevant and is the focus of the present work.
An adequate supply of cysteine is essential for the production of the most important intracellular antioxidants, such as glutathione. In the present work, it was investigated whether the depletion of cysteine and glutathione is therapeutically useful. Depletion of glutathione in melanoma cells could be achieved by blocking cysteine supply, glutathione synthesis, and NADPH regeneration. As expected, this led to an increased level of reactive oxygen species (ROS). Surprisingly, however, these changes did not impair the proliferation and survival of the melanoma cells. In contrast, glutathione depletion led to cellular reprogramming which was characterized by the induction of mesenchymal genes and the repression of differentiation markers (phenotypic switch). This was accompanied by an increased migration and invasion potential which was favored by the induction of the transcription factor FOSL1. To study in vivo reprogramming, Gclc, the first and rate-limiting enzyme in glutathione synthesis, was knocked out by CRISPR/Cas9 in murine melanoma cells. The cells were devoid of glutathione, but were fully viable and showed a phenotypic switch, the latter only in MITF-expressing B16F1 cells and not in MITF-deficient D4M3A.781 cells. Following subcutaneous injection into immunocompetent C57BL/6 mice, Gclc knockout B16F1 cells grew more aggressively and resulted in an earlier tumor onset than B16F1 control cells.
In summary, this work demonstrates that inhibition of cysteine supply and thus, glutathione synthesis leads to cellular reprogramming in melanoma. In this context, melanoma cells show metastatic capabilities, promoting a more aggressive form of the disease.