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The mold Aspergillus fumigatus (A. fumigatus) is known as human pathogen and can cause life-threatening infections in humans with a weakened immune system. This is a known complication in patients receiving glucocorticoids, e.g. after hematopoietic stem cell transplantation or solid organ transplantation. Although research in the field of immune cell/fungus interaction has discovered key strategies how immune cells fight against infectious fungi, our knowledge is still incomplete. In order to develop effective treatment options against fungal infections, a detailed understanding of their interactions is crucial. Thus, visualization of immune cell and fungus is an excellent approach to gain further knowledge. For a detailed view of such interaction processes, a high optical resolution on nanometer scale is required. There is a variety of super resolution microscopy techniques, enabling fluorescence imaging beyond the diffraction limit. This work combines the use of three complementary super resolution microscopy techniques, in order to study immune cell/fungus interaction from different points of view.
Aim of this work is the introduction of the recently invented imaging technique named expansion microscopy (ExM) for the study of immune cell/fungus interactions. The core aspect of this method is the physical magnification of the specimen, which increases the distance between protein structures that are close to each other and which can therefore be imaged separately.
The simultaneous magnification of primary human natural killer (NK) cells and A. fumigatus hyphae was established in this work using ExM. Reorganization of cytoskeletal components of interacting NK cells was demonstrated here, by expansion of the immunological synapse (IS), formed between NK cells and A. fumigatus. In addition, reorganization of the microtubule-organizing center (MTOC) towards fungal hyphae and an accumulation of actin at the IS has been observed. Furthermore, ExM has been used to visualize lytic granules of NK cells after degranulation. After magnification of the specimen, lysosome associated protein 1 (LAMP1) was shown to surround perforin. In absence of the plasma membrane-exposed degranulation marker LAMP1, a “ring-shaped” structure was often observed for fluorescently labeled perforin. Volume calculation of lytic granules demonstrated the benefit of ExM. Compared to pre-expansion images, analyses of post-expansion images showed two volume distributions for degranulated and non-degranulated NK cells. In addition, this work emphasizes the importance of determining the expansion factor for a structure in each species, as variations of expansion factors have been observed. This factor, as well as possible sample distortions should be considered, when ExM is used in order to analyze the interaction between two species.
A second focus of this work is the visualization of a chimeric antigen receptor (CAR), targeting an epitope on the cell wall of A. fumigatus. Structured illumination microscopy (SIM) revealed that the CAR is part of the immunological synapse of primary human CAR T cells and CAR-NK-92 cells. At the interaction site, an accumulation of the CAR was observed, as well as the presence of perforin. CAR accumulation at fungal hyphae was further demonstrated by automated live cell imaging of interacting CAR-NK-92 cells, expressing a fluorescent fusion protein.
Additionally, the use of direct stochastic optical reconstruction microscopy (dSTORM) gave first insights in CAR expression levels on the basal membrane of CAR-NK-92 cells, with single molecule sensitivity. CAR cluster analyses displayed a heterogeneous CAR density on the basal membrane of transfected NK 92 cells.
In summary, this work provides insights into the application of ExM for studying the interaction of primary human NK cells and A. fumigatus for the first time. Furthermore, this thesis presents first insights regarding the characterization of an A. fumigatus-targeting CAR, by applying super-resolution fluorescence microscopy, like SIM and dSTORM.
Platelets play an important role in the body, since they are part of the hemostasis
system, preventing and stopping blood loss. Nevertheless, when platelet or
coagulation system function are impaired, uncontrolled bleedings but also irreversible
vessel occlusion followed by ischemic tissue damage can occur. Therefore,
understanding platelet function and activation, mechanisms which are controlled by a
variety of platelet membrane receptors and other factors is important to advance out
knowledge of hemostasis and platelet malfunction. For a complete picture of platelet
function and their modulating behavior it is desired to be able to quantify receptor
distributions and interactions of these densely packed molecular ensembles in the
membrane. This challenges scientists for several reasons. Most importantly, platelets
are microscopically small objects, challenging the spatial resolution of conventional
light microscopy. Moreover, platelet receptors are highly abundant on the membrane
so even super-resolution microscopy struggles with quantitative receptor imaging on
platelets.
With Expansion microscopy (ExM), a new super-resolution technique was introduced,
allowing resolutions to achieve super-resolution without using a super-resolution
microscope, but by combining a conventional confocal microscopy with a highly
processed sample that has been expanded physically. In this doctoral thesis, I
evaluated the potential of this technique for super-resolution platelet imaging by
optimizing the sample preparation process and establishing an imaging and image
processing pipeline for dual-color 3D images of different membrane receptors. The
analysis of receptor colocalization using ExM demonstrated a clear superiority
compared to conventional microscopy. Furthermore, I identified a library of
fluorescently labeled antibodies against different platelet receptors compatible with
ExM and showed the possibility of staining membrane receptors and parts of the
cytoskeleton at the same time.
The fusion of methods from several disciplines is a crucial component of scientific development. Artificial Neural Networks, based on the principle of biological neuronal networks, demonstrate how nature provides the best templates for technological advancement. These innovations can then be employed to solve the remaining mysteries of biology, including, in particular, processes that take place on microscopic scales and can only be studied with sophisticated techniques. For instance, direct Stochastic Optical Reconstruction Microscopy combines tools from chemistry, physics, and computer science to visualize biological processes at the molecular level. One of the key components is the computer-aided reconstruction of super-resolved images. Improving the corresponding algorithms increases the quality of the generated data, providing further insights into our biology. It is important, however, to ensure that the heavily processed images are still a reflection of reality and do not originate in random artefacts.
Expansion microscopy is expanding the sample by embedding it in a swellable hydrogel. The method can be combined with other super-resolution techniques to gain additional resolution. We tested this approach on microtubules, a well-known filamentous reference structure, to evaluate the performance of different protocols and labelling techniques.
We developed LineProfiler an objective tool for data collection. Instead of collecting perpendicular profiles in small areas, the software gathers line profiles from filamentous structures of the entire image. This improves data quantity, quality and prevents a biased choice of the evaluated regions. On the basis of the collected data, we deployed theoretical models of the expected intensity distribution across the filaments. This led to the conclusion that post-expansion labelling significantly reduces the labelling error and thus, improves the data quality. The software was further used to determine the expansion factor and arrangement of synaptonemal complex data.
Automated Simple Elastix uses state-of-the-art image alignment to compare pre- and post-expansion images. It corrects linear distortions occurring under isotropic expansion, calculates a structural expansion factor and highlights structural mismatches in a distortion map. We used the software to evaluate expanded fungi and NK cells. We found that the expansion factor differs for the two structures and is lower than the overall expansion of the hydrogel.
Assessing the fluorescence lifetime of emitters used for direct Stochastic Optical Reconstruction Microscopy can reveal additional information about the molecular environment or distinguish dyes emitting with a similar wavelength. The corresponding measurements require a confocal scanning of the sample in combination with the fluorescent switching of the underlying emitters. This leads to non-linear, interrupted Point Spread Functions. The software ReCSAI targets this problem by combining the classical algorithm of compressed sensing with modern methods of artificial intelligence. We evaluated several different approaches to combine these components and found, that unrolling compressed sensing into the network architecture yields the best performance in terms of reconstruction speed and accuracy.
In addition to a deep insight into the functioning and learning of artificial intelligence in combination with classical algorithms, we were able to reconstruct the described non-linearities with significantly improved resolution, in comparison to other state-of-the-art architectures.
Systemic and local mechanisms of small fiber pathology in female patients with fibromyalgia syndrome
(2023)
Fibromyalgia syndrome (FMS) is a largely heterogeneous chronic pain syndrome of unclear pathophysiology, which lacks objective diagnostics and specific treatment. An immune-related shift towards a pro-inflammatory profile is discussed at a systemic level. Small fiber pathology (SFP) and local participation of non-neuronal skin cells like keratinocytes in cutaneous nociception are potential peripheral contributors. Small RNAs, particularly microRNAs (miRs) and newly described tRNA fragments (tRFs) act as posttranscriptional key regulators of gene expression and may modulate systemic and peripheral cell pathways. On cellular level, the exact mechanisms of keratinocyte-intraepidermal nerve fiber (IENF) interaction in the skin are insufficiently understood.
Via small RNA sequencing and quantitative real-time PCR, we investigated miR and tRF signatures in whole blood cells and skin biopsy-derived keratinocytes of female FMS patients versus healthy controls. We applied gene target prediction analysis to uncover underlying cellular pathways affected by dysregulated small RNAs. Altered FMS small RNAs from blood were compared with their expression in disease controls, i.e. Parkinson`s patients and patients with major depression and chronic pain. Association of SFP with small RNAs was investigated via correlation with clinical parameter. To explore keratinocyte-nerve fiber interactions with high relevance for SFP and cutaneous nociception, we adapted a super-resolution array tomography (srAT) approach and expansion microscopy (ExM) for human skin samples. Further, we created a fully human 2D co-culture model of primary keratinocytes and induced pluripotent stem cell derived sensory neurons.
Blood miR deregulation indicated systemic modulation of immune processes exerted by CholinomiRs and by miRs targeting the FoxO signaling pathway. Short sized tRFs were associated with mRNA metabolism and splicing. This supports the hypothesis of an inflammatory/autoimmunity component in FMS. Expression of blood small RNAs in FMS were discriminative against disease controls, highlighting their potential as objective biomarker. Blood small RNAs were predominantly upregulated and correlations between miR and clinical parameter reflected rather pain in general than SFP.
In FMS keratinocytes, a downregulation of miRs and tRFs was evident. Pathways for adenosine monophosphate-activated protein kinase (AMPK), adherens junction, and focal adhesion were predicted to be affected by miRs, while tRFs may influence proliferation, migration, and cell growth. Similar to blood miRs, altered miRs in keratinocytes correlated mostly with widespread pain and pain severity parameter. TRFs were partially associated with more severe IENF loss. Small RNAs in FMS keratinocytes may modulate pathways that define how keratinocytes interact with each other and with IENF.
These interactions include nerve fiber ensheathment, a conserved epithelial mechanism, which we visualize in human epidermis and a fully human co-culture model. Additionally, we revealed plaques of connexin 43, a pore forming protein involved in intercellular communication, at keratinocyte- nerve fiber contact sites. Objective quantification of these morphological findings in FMS and other diseases with SFP may inherit diagnostic value similar to IENF density.
We provide evidence for distinct miR and tRF signatures in FMS with implications for systemic immune regulation and local cell-cell interaction pathways. In the periphery we explored novel keratinocyte-nerve fiber interactions relevant for SFP and cutaneous nociception.
Single-molecule dynamics at a bottleneck: a systematic study of the narrow escape problem in a disc
(2023)
Diffusion facilitates numerous reactions within the biological context of a cell. It is remarkable how the cost-efficient random process of Brownian motion promotes fast reactions. From the narrow escape theory, it is possible to determine the mean first passage time of such processes based on their reaction space and diffusion coefficient. The narrow escape theory of Brownian particles is characterized by a confining domain with reflective boundaries and a small reaction site. In this thesis, the mean first passage time was systematically tested in a disc as a function of the escape opening size in vitro and in silico. For the in vitro experiments, a model system of patterned supported-lipid bilayers (SLB) was established. Such a model is prepared by a combined colloid metalization approach, where a gold scaffold on glass facilitates assembly of SLB patches of distinct sizes through vesicle fusion. The model setup was evaluated and found to match all necessary requirements to test the nar- row escape problem in vitro. In particular, the reflectivity of the boundaries, the unhindered, free diffusion of the tracer lipids, and the distinct area were assessed. Observed results of the mean first passage time agreed with the theory of the narrow escape problem. There was excellent agreement in both absolute values and across a range of small escape opening sizes. Additionally, I developed a straightforward method, a correction factor, to calculate the mean first passage time from incomplete experimental traces. By re-scaling the mean first passage time to the fraction of particles that escaped, I was able to overcome the lifetime limitations of fluorescent probes. Previously inaccessible measurements of the mean first passage time relying on fluorescent probes will be made possible through this approach. The in vitro experiments were complemented with various in silico experiments. The latter were based on random walk simulations in discs, mimicking the in vitro situation with its uncertainties. The lifetime of single particles was either set sufficiently long to allow all particles to escape, or was adjusted to meet the lifetime limitations observed in the in vitro experiments. A comparison of the mean first passage time from lifetime-unlimited particles to the corrected, lifetime-limited particles did support the use of the correction factor. In agreement with the narrow escape theory, it was experimentally found that the mean first passage time is independent of the start point of the particle within the domain. This is when the particle adheres to a minimum distance to the escape site. In general, the presented random walk simulations do accurately represent the in vitro experiments in this study. The required hardware for the establishment of an astigmatism-based 3D system was installed in the existing microscope. The first attempts to analyze the obtained 3D imaging data gave insight into the potential of the method to investigate molecule dynamics in living trypanosome cells. The full functionality will be realized with the ongoing improvement of image analysis outside of this thesis.
Die Fluoreszenzmikroskopie ist eine vielseitig einsetzbare Untersuchungsmethode für biologische Proben, bei der Biomoleküle selektiv mit Fluoreszenzfarbstoffen markiert werden, um sie dann mit sehr gutem Kontrast abzubilden. Dies ist auch mit mehreren verschiedenartigen Zielmolekülen gleichzeitig möglich, wobei üblicherweise verschiedene Farbstoffe eingesetzt werden, die über ihre Spektren unterschieden werden können.
Um die Anzahl gleichzeitig verwendbarer Färbungen zu maximieren, wird in dieser Arbeit zusätzlich zur spektralen Information auch das zeitliche Abklingverhalten der Fluoreszenzfarbstoffe mittels spektral aufgelöster Fluoreszenzlebensdauer-Mikroskopie (spectrally resolved fluorescence lifetime imaging microscopy, sFLIM) vermessen. Dazu wird die Probe in einem Konfokalmikroskop von drei abwechselnd gepulsten Lasern mit Wellenlängen von 485 nm, 532nm und 640nm angeregt. Die Detektion des Fluoreszenzlichtes erfolgt mit einer hohen spektralen Auflösung von 32 Kanälen und gleichzeitig mit sehr hoher zeitlicher Auflösung von einigen Picosekunden. Damit wird zu jedem detektierten Fluoreszenzphoton der Anregungslaser, der spektrale Kanal und die Ankunftszeit registriert. Diese detaillierte multidimensionale Information wird von einem Pattern-Matching-Algorithmus ausgewertet, der das Fluoreszenzsignal mit zuvor erstellten Referenzpattern der einzelnen Farbstoffe vergleicht. Der Algorithmus bestimmt so für jedes Pixel die Beiträge der einzelnen Farbstoffe.
Mit dieser Technik konnten pro Anregungslaser fünf verschiedene Färbungen gleichzeitig dargestellt werden, also theoretisch insgesamt 15 Färbungen. In der Praxis konnten mit allen drei Lasern zusammen insgesamt neun Färbungen abgebildet werden, wobei die Anzahl der Farben vor allem durch die anspruchsvolle Probenvorbereitung limitiert war. In anderen Versuchen konnte die sehr hohe Sensitivität des sFLIM-Systems genutzt werden, um verschiedene Zielmoleküle voneinander zu unterscheiden, obwohl sie alle mit demselben Farbstoff markiert waren. Dies war möglich, weil sich die Fluoreszenzeigenschaften eines Farbstoffmoleküls geringfügig in Abhängigkeit von seiner Umgebung ändern. Weiterhin konnte die sFLIM-Technik mit der hochauflösenden STED-Mikroskopie (STED: stimulated emission depletion) kombiniert werden, um so hochaufgelöste zweifarbige Bilder zu erzeugen, wobei nur ein einziger gemeinsamer STED-Laser benötigt wurde.
Die gleichzeitige Erfassung von mehreren photophysikalischen Messgrößen sowie deren Auswertung durch den Pattern-Matching-Algorithmus ermöglichten somit die Entwicklung von neuen Methoden der Fluoreszenzmikroskopie für Mehrfachfärbungen.
Humans tend to believe in what they can see with their own eyes. Hence, visualization methods like microscopy have always been extremely popular since their invention in the 17th century. With the advent of super-resolution microscopy, the diffraction limit of ~200 - 250 nm could be overcome to enable more detailed insights into biological samples. Especially the single molecule localization microscopy method dSTORM offers the possibility of quantitative bioimaging. Hereby, the repetitive photoswitching of organic dyes in the presence of thiols is exploited to enable a lateral resolution of 20 nm. Another, recently introduced super-resolution method is expansion microscopy (ExM) which physically expands the sample to increase the resolution by the expansion factor from four to even twenty. To enable this, the sample is embedded into a hydrogel, homogenized using an unspecific proteinase and expanded in distilled water. Within this thesis, both methods were used to shed light on plasma membrane receptor distributions and different bacterial and fungal pathogens. In the first part of this thesis dSTORM was used to elucidate the “Receptome”, the entirety of all membrane receptors, of the cell line Jurkat T-cells and primary T-cells. Within this project we could successfully visualize and quantify the distribution of the plasma membrane receptors CD2, CD3, CD4, CD5, CD7, CD11a, CD20, CD28, CD45, CD69 and CD105 with receptor densities ranging from 0.8 cluster/µm² in case of CD20 and 81.4 cluster/µm² for the highly abundant CD45 in activated primary T-cells at the basal membrane. Hereby, we could also demonstrate a homogeneous distribution of most receptors, while only few were clustered. In the case of CD3-clusters were detected in Jurkat T-cells and in primary activated T-cells, but not in naïve ones, demonstrating the activation of this receptor. This was followed by the application of dSTORM to three different clinical projects involving the receptors CD38, BCMA and CD20 which are immunotherapeutic targets by monoclonal antibodies and CAR T-cells. In the first two projects dSTORM was applied to determine the receptor upregulation upon exposure of various drugs to MM1.S cells or primary multiple myeloma patient cells. This increase in membrane receptor expression can subsequently enhance the efficacy of therapies directed against these receptors. Within the CD20-project, the superior sensitivity of dSTORM compared to flow cytometry could be demonstrated. Hereby, a substantially higher fraction of CD20-positive patient cells was detected by dSTORM than by flow cytometry. In addition, we could show that by dSTORM CD20-positive evaluated cells were eradicated by immunotherapeutic CAR T-cell treatment. These studies were followed by whole cell super-resolution imaging using both LLS-3D dSTORM and 10x ExM to exclude any artifacts caused by interactions with the glass surface. In 10x ExM signal amplification via biotinylated primary antibodies and streptavidin ATTO 643 was essential to detect even single antibodies directed against the heterodimer CD11a with standard confocal microscopes. Albeit probably not quantitative due to the process of gelation, digestion and expansion during the ExM protocol, even some putative dimers of the receptor CD2 could be visualized using 10x ExM-SIM, similar to dSTORM experiments. Within the second part of this thesis, expansion microscopy was established in bacterial and fungal pathogens. ExM enabled not only an isotropic fourfold expansion of Chlamydia trachomatis, but also allowed the discrimination between the two developmental forms by the chlamydial size after expansion into reticulate and elementary bodies. Hereafter, a new α-NH2-ω-N3-C6-ceramide was introduced enabling an efficient fixation and for the first time the use of lipids in both, 4x and 10x ExM, termed sphingolipid ExM. This compound was used to investigate the ceramide uptake and incorporation into the cell membrane of Chlamydia trachomatis and Simkania negevensis. For Chlamydia trachomatis the combined resolution power of 10x ExM and SIM even allowed the visualization of both bacterial membranes within a distance of ~30 nm. Finally, ExM was applied to the three different fungi Ustilago maydis, Fusarium oxysporum and Aspergillus fumigatus after enzymatic removal of the fungal cell wall. In case of Ustilago maydis sporidia this digestion could be applied to both, living cells resulting in protoplasts and to fixed cells, preserving the fungal morphology. This new protocol could be demonstrated for immunostainings and fluorescent proteins of the three different fungi.
Die Entwicklung hochauflösender Fluoreszenzmikroskopiemethoden hat die Lichtmikroskopie revolutioniert. Einerseits ermöglicht die höhere erzielte räumliche Auflösung die Abbildung von Strukturen, die deutlich unterhalb der beugungsbedingten Auflösungsgrenze liegen. Andererseits erhält man durch Einzelmoleküllokalisationsmikroskopiemethoden
wie dSTORM (Direct Stochastic Optical Reconstruction Microscopy) Informationen, welche man für quantitative Analysen heranziehen kann. Aufgrund der sich dadurch bietenden neuen Möglichkeiten, hat sich die hochauflösende Fluoreszenzmikroskopie rasant entwickelt und kommt mittlerweile zur Untersuchung einer Vielzahl biologischer und medizinischer Fragestellungen zum Einsatz. Trotz dieses Erfolgs ist jedoch nicht zu verleugnen, dass auch diese neuen Methoden ihre Nachteile haben. Dazu zählt die Notwendigkeit relativ hoher Laserleistungen, welche Voraussetzung für hohe Auflösung ist und bei lebenden Proben zur Photoschädigung führen kann.
Diese Arbeit widmet sich sowohl dem Thema der Photoschädigung durch Einzelmoleküllokalisationsmikroskopie,
als auch der Anwendung von dSTORM und SIM (Structured Illumination Microscopy) zur Untersuchung neurobiologischer Fragestellungen auf Proteinebene.
Zur Ermittlung der Photoschädigung wurden lebende Zellen unter typischen Bedingungen bestrahlt und anschließend für 20−24 h beobachtet. Als quantitatives Maß für den Grad der Photoschädigung wurde der Anteil sterbender Zellen bestimmt. Neben der zu erwartenden Intensitäts- und Wellenlängenabhängigkeit, zeigte sich, dass die Schwere der Photoschädigung auch von vielen weiteren Faktoren abhängt und dass sich Einzelmoleküllokalisationsmikroskopie bei Berücksichtigung der gewonnenen Erkenntnisse durchaus mit Lebendzellexperimenten vereinbaren lässt.
Ein weiteres Projekt diente der Untersuchung der A- und B-Typ-Glutamatrezeptoren an der neuromuskulären Synapse von Drosophila melanogaster mittels dSTORM. Dabei konnte eine veränderte Anordnung beider Rezeptortypen infolge synaptischer Plastizität beobachtet, sowie eine absolute Quantifizierung des A-Typ-Rezeptors durchgeführt werden.
Im Mittelpunkt eines dritten Projekts standen Cadherin-13 (CDH13) sowie der Glucosetransporter Typ 3 (GluT3), welche beide mit der Aufmerksamkeitsdefizit-Hyperaktivitätsstörung in Verbindung gebracht werden. CDH13 konnte mittels SIM in serotonergen Neuronen, sowie radiären Gliazellen der dorsalen Raphekerne des embryonalen Mausgehirns nachgewiesen werden. Die Rolle von GluT3 wurde in aus induzierten pluripotenten Stammzellen differenzierten Neuronen analysiert, welche verschiedene Kopienzahlvariation des für GluT3-codierenden SLC2A3-Gens aufwiesen. Die Proteine GluT3, Bassoon und Homer wurden mittels dSTORM relativ quantifiziert. Während die Deletion des Gens zu einer erwartenden Verminderung von GluT3 auf Proteinebene führte, hatte die Duplikation keinen Effekt auf die GluT3-Menge. Für Bassoon und Homer zeigte sich weder durch die Deletion noch die Duplikation eine signifikante Veränderung.
Die zunehmende Antibiotikaresistenz vieler Krankheitserreger ist ein weltweites Problem, welches zu einem klinischen Bedarf an neuen antimikrobiellen Substanzen führt. Sphingolipide einschließlich Ceramide stellen eine vielfältige Gruppe strukturverwandter Lipide dar und bestehen aus einem Sphingosin-Grundgerüst, welches mit einer Fettsäure verbunden ist. Sowohl das Sphingosin-Grundgerüst allein als auch Sphingolipide zeigen eine antibakterielle Wirkung gegenüber einer Vielzahl pathogener Mikroorganismen. Die Intensität der Hemmung hängt von der Sphingolipidstruktur und dem Mikroorganismus ab. Neuere Studien konnten zeigen, dass Sphingosin, Ceramide und Ceramid-Analoga in N. meningitidis aufgenommen werden und eine bakteriostatische oder bakterizide Wirkung zeigen. Jedoch ist die antibakterielle Wirkungsweise noch nicht genau bekannt. Um mehr über den Wirkmechanismus zu erfahren haben wir die ultrastrukturellen Veränderungen von N. meningitidis nach Inkubation mit azido-funktionalisierten Sphingolipiden mit elektronenmikroskopischen Verfahren (transmissionselektronenmikroskopische und rasterelektronenmikroskopische Aufnahmen) untersucht. Mittels korrelativer Licht- und Elektronenmikroskopie (CLEM) konnten wir die azido-funktionalisierten Sphingolipide nach Aufnahme in N. meningitidis lokalisieren. Zum Anfärben der funktionalisierten Sphingolipide wurde die kupferfreie Azid-Alkin-Cyccloaddition verwendet.
The culture of human induced pluripotent stem cells (hiPSCs) at large-scale becomes feasible with the aid of scalable suspension setups in continuously stirred tank reactors (CSTRs). Suspension cul- tures of hiPSCs are characterized by the self-aggregation of single cells into macroscopic cell aggre- gates that increase in size over time. The development of these free-floating aggregates is dependent on the culture vessel and thus represents a novel process parameter that is of particular interest for hiPSC suspension culture scaling. Further, aggregates surpassing a critical size are prone to spon- taneous differentiation or cell viability loss. In this regard, and, for the first time, a hiPSC-specific suspension culture unit was developed that utilizes in situ microscope imaging to monitor and to characterize hiPSC aggregation in one specific CSTR setup to a statistically significant degree while omitting the need for error-prone and time-intensive sampling. For this purpose, a small-scale CSTR system was designed and fabricated by fused deposition modeling (FDM) using an in-house 3D- printer. To provide a suitable cell culture environment for the CSTR system and in situ microscope, a custom-built incubator was constructed to accommodate all culture vessels and process control devices. Prior to manufacture, the CSTR design was characterized in silico for standard engineering parameters such as the specific power input, mixing time, and shear stress using computational fluid dynamics (CFD) simulations. The established computational model was successfully validated by comparing CFD-derived mixing time data to manual measurements. Proof for system functionality was provided in the context of long-term expansion (4 passages) of hiPSCs. Thereby, hiPSC aggregate size development was successfully tracked by in situ imaging of CSTR suspensions and subsequent automated image processing. Further, the suitability of the developed hiPSC culture unit was proven by demonstrating the preservation of CSTR-cultured hiPSC pluripotency on RNA level by qRT-PCR and PluriTest, and on protein level by flow cytometry.