@article{DammertBraegelmannOlsenetal.2019, author = {Dammert, Marcel A. and Br{\"a}gelmann, Johannes and Olsen, Rachelle R. and B{\"o}hm, Stefanie and Monhasery, Niloufar and Whitney, Christopher P. and Chalishazar, Milind D. and Tumbrink, Hannah L. and Guthrie, Matthew R. and Klein, Sebastian and Ireland, Abbie S. and Ryan, Jeremy and Schmitt, Anna and Marx, Annika and Ozretić, Luka and Castiglione, Roberta and Lorenz, Carina and Jachimowicz, Ron D. and Wolf, Elmar and Thomas, Roman K. and Poirier, John T. and B{\"u}ttner, Reinhard and Sen, Triparna and Byers, Lauren A. and Reinhardt, H. Christian and Letai, Anthony and Oliver, Trudy G. and Sos, Martin L.}, title = {MYC paralog-dependent apoptotic priming orchestrates a spectrum of vulnerabilities in small cell lung cancer}, series = {Nature Communications}, volume = {10}, journal = {Nature Communications}, doi = {10.1038/s41467-019-11371-x}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-223569}, year = {2019}, abstract = {MYC paralogs are frequently activated in small cell lung cancer (SCLC) but represent poor drug targets. Thus, a detailed mapping of MYC-paralog-specific vulnerabilities may help to develop effective therapies for SCLC patients. Using a unique cellular CRISPR activation model, we uncover that, in contrast to MYCN and MYCL, MYC represses BCL2 transcription via interaction with MIZ1 and DNMT3a. The resulting lack of BCL2 expression promotes sensitivity to cell cycle control inhibition and dependency on MCL1. Furthermore, MYC activation leads to heightened apoptotic priming, intrinsic genotoxic stress and susceptibility to DNA damage checkpoint inhibitors. Finally, combined AURK and CHK1 inhibition substantially prolongs the survival of mice bearing MYC-driven SCLC beyond that of combination chemotherapy. These analyses uncover MYC-paralog-specific regulation of the apoptotic machinery with implications for genotype-based selection of targeted therapeutics in SCLC patients.}, language = {en} } @article{CoelhoAlvesMonteiroetal.2019, author = {Coelho, Luis Pedro and Alves, Renato and Monteiro, Paulo and Huerta-Cepas, Jaime and Freitas, Ana Teresa and Bork, Peer}, title = {NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific language}, series = {Microbiome}, volume = {7}, journal = {Microbiome}, number = {84}, doi = {10.1186/s40168-019-0684-8}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-223161}, year = {2019}, abstract = {Background Shotgun metagenomes contain a sample of all the genomic material in an environment, allowing for the characterization of a microbial community. In order to understand these communities, bioinformatics methods are crucial. A common first step in processing metagenomes is to compute abundance estimates of different taxonomic or functional groups from the raw sequencing data. Given the breadth of the field, computational solutions need to be flexible and extensible, enabling the combination of different tools into a larger pipeline. Results We present NGLess and NG-meta-profiler. NGLess is a domain specific language for describing next-generation sequence processing pipelines. It was developed with the goal of enabling user-friendly computational reproducibility. It provides built-in support for many common operations on sequencing data and is extensible with external tools with configuration files. Using this framework, we developed NG-meta-profiler, a fast profiler for metagenomes which performs sequence preprocessing, mapping to bundled databases, filtering of the mapping results, and profiling (taxonomic and functional). It is significantly faster than either MOCAT2 or htseq-count and (as it builds on NGLess) its results are perfectly reproducible. Conclusions NG-meta-profiler is a high-performance solution for metagenomics processing built on NGLess. It can be used as-is to execute standard analyses or serve as the starting point for customization in a perfectly reproducible fashion. NGLess and NG-meta-profiler are open source software (under the liberal MIT license) and can be downloaded from https://ngless.embl.de or installed through bioconda.}, language = {en} } @article{HuppRosenkranzBonfigetal.2019, author = {Hupp, Sabrina and Rosenkranz, Maaria and Bonfig, Katharina and Pandey, Chandana and Roitsch, Thomas}, title = {Noninvasive Phenotyping of Plant-Pathogen Interaction: Consecutive In Situ Imaging of Fluorescing Pseudomonas syringae, Plant Phenolic Fluorescence, and Chlorophyll Fluorescence in Arabidopsis Leaves}, series = {Frontiers in Plant Science}, volume = {10}, journal = {Frontiers in Plant Science}, number = {1239}, issn = {1664-462X}, doi = {10.3389/fpls.2019.01239}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-189425}, year = {2019}, abstract = {Plant-pathogen interactions have been widely studied, but mostly from the site of the plant secondary defense. Less is known about the effects of pathogen infection on plant primary metabolism. The possibility to transform a fluorescing protein into prokaryotes is a promising phenotyping tool to follow a bacterial infection in plants in a noninvasive manner. In the present study, virulent and avirulent Pseudomonas syringae strains were transformed with green fluorescent protein (GFP) to follow the spread of bacteria in vivo by imaging Pulse-Amplitude-Modulation (PAM) fluorescence and conventional binocular microscopy. The combination of various wavelengths and filters allowed simultaneous detection of GFP-transformed bacteria, PAM chlorophyll fluorescence, and phenolic fluorescence from pathogen-infected plant leaves. The results show that fluorescence imaging allows spatiotemporal monitoring of pathogen spread as well as phenolic and chlorophyll fluorescence in situ, thus providing a novel means to study complex plant-pathogen interactions and relate the responses of primary and secondary metabolism to pathogen spread and multiplication. The study establishes a deeper understanding of imaging data and their implementation into disease screening.}, language = {en} } @article{BluemelZinkKlopockietal.2019, author = {Bl{\"u}mel, Rabea and Zink, Miriam and Klopocki, Eva and Liedtke, Daniel}, title = {On the traces of tcf12: Investigation of the gene expression pattern during development and cranial suture patterning in zebrafish (Danio rerio)}, series = {PLoS ONE}, volume = {14}, journal = {PLoS ONE}, number = {6}, doi = {10.1371/journal.pone.0218286}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-201428}, pages = {e0218286}, year = {2019}, abstract = {The transcription factor 12 (tcf12) is a basic Helix-Loop-Helix protein (bHLH) of the E-protein family, proven to play an important role in developmental processes like neurogenesis, mesoderm formation, and cranial vault development. In humans, mutations in TCF12 lead to craniosynostosis, a congenital birth disorder characterized by the premature fusion of one or several of the cranial sutures. Current research has been primarily focused on functional studies of TCF12, hence the cellular expression profile of this gene during embryonic development and early stages of ossification remains poorly understood. Here we present the establishment and detailed analysis of two transgenic tcf12:EGFP fluorescent zebrafish (Danio rerio) reporter lines. Using these transgenic lines, we analyzed the general spatiotemporal expression pattern of tcf12 during different developmental stages and put emphasis on skeletal development and cranial suture patterning. We identified robust tcf12 promoter-driven EGFP expression in the central nervous system (CNS), the heart, the pronephros, and the somites of zebrafish embryos. Additionally, expression was observed inside the muscles and bones of the viscerocranium in juvenile and adult fish. During cranial vault development, the transgenic fish show a high amount of tcf12 expressing cells at the growth fronts of the ossifying frontal and parietal bones and inside the emerging cranial sutures. Subsequently, we tested the transcriptional activity of three evolutionary conserved non-coding elements (CNEs) located in the tcf12 locus by transient transgenic assays and compared their in vivo activity to the expression pattern determined in the transgenic tcf12:EGFP lines. We could validate two of them as tcf12 enhancer elements driving specific gene expression in the CNS during embryogenesis. Our newly established transgenic lines enhance the understanding of tcf12 gene regulation and open up the possibilities for further functional investigation of these novel tcf12 enhancer elements in zebrafish.}, language = {en} } @article{PanzerBrychBatschaueretal.2019, author = {Panzer, Sabine and Brych, Annika and Batschauer, Alfred and Terpitz, Ulrich}, title = {Opsin 1 and Opsin 2 of the corn smut fungus ustilago maydis are green light-driven proton pumps}, series = {Frontiers in Microbiology}, volume = {10}, journal = {Frontiers in Microbiology}, doi = {10.3389/fmicb.2019.00735}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-201453}, pages = {735}, year = {2019}, abstract = {In fungi, green light is absorbed by rhodopsins, opsin proteins carrying a retinal molecule as chromophore. The basidiomycete Ustilago maydis, a fungal pathogen that infects corn plants, encodes three putative photoactive opsins, called ops1 (UMAG_02629), ops2 (UMAG_00371), and ops3 (UMAG_04125). UmOps1 and UmOps2 are expressed during the whole life cycle, in axenic cultures as well as in planta, whereas UmOps3 was recently shown to be absent in axenic cultures but highly expressed during plant infection. Here we show that expression of UmOps1 and UmOps2 is induced by blue light under control of white collar 1 (Wco1). UmOps1 is mainly localized in the plasma membrane, both when expressed in HEK cells and U. maydis sporidia. In contrast, UmOps2 was mostly found intracellularly in the membranes of vacuoles. Patch-clamp studies demonstrated that both rhodopsins are green light-driven outward rectifying proton pumps. UmOps1 revealed an extraordinary pH dependency with increased activity in more acidic environment. Also, UmOps1 showed a pronounced, concentration-dependent enhancement of pump current caused by weak organic acids (WOAs), especially by acetic acid and indole-3-acetic acid (IAA). In contrast, UmOps2 showed the typical behavior of light-driven, outwardly directed proton pumps, whereas UmOps3 did not exhibit any electrogenity. With this work, insights were gained into the localization and molecular function of two U. maydis rhodopsins, paving the way for further studies on the biological role of these rhodopsins in the life cycle of U. maydis.}, language = {en} } @article{KimShustaDoran2019, author = {Kim, Brandon J. and Shusta, Eric V. and Doran, Kelly S.}, title = {Past and current perspectives in modeling bacteria and blood-brain barrier interactions}, series = {Frontiers in Microbiology}, volume = {10}, journal = {Frontiers in Microbiology}, number = {1336}, doi = {10.3389/fmicb.2019.01336}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-201766}, year = {2019}, abstract = {The central nervous system (CNS) barriers are highly specialized cellular barriers that promote brain homeostasis while restricting pathogen and toxin entry. The primary cellular constituent regulating pathogen entry in most of these brain barriers is the brain endothelial cell (BEC) that exhibits properties that allow for tight regulation of CNS entry. Bacterial meningoencephalitis is a serious infection of the CNS and occurs when bacteria can cross specialized brain barriers and cause inflammation. Models have been developed to understand the bacterial - BEC interaction that lead to pathogen crossing into the CNS, however, these have been met with challenges due to these highly specialized BEC phenotypes. This perspective provides a brief overview and outlook of the in vivo and in vitro models currently being used to study bacterial brain penetration, and opinion on improved models for the future.}, language = {en} } @phdthesis{Koenig2019, author = {K{\"o}nig, Eva-Maria}, title = {Pathogenese von Kraniosynostosen}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-175181}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2019}, abstract = {Das humane Sch{\"a}deldach besteht aus f{\"u}nf Sch{\"a}delplatten, die durch intramembran{\"o}se Ossifikation entstehen. Wenn diese in der Embryonalentwicklung aufeinandertreffen, bilden sich Sch{\"a}deln{\"a}hte aus, die eine Fusion der Sch{\"a}delplatten verhindern und damit ein Sch{\"a}delwachstum parallel zu Gehirnentwicklung erm{\"o}glichen. F{\"u}r diesen Prozess ist eine Balance aus Zellproliferation und Differenzierung n{\"o}tig, deren Aufrechterhaltung wiederum durch eine komplexe Regulation von verschiedenen Signalwegen gew{\"a}hrleistet wird. St{\"o}rungen in diesem regulatorischen System k{\"o}nnen zu einer vorzeitigen Fusion der Sch{\"a}delplatten, Kraniosynostose genannt, f{\"u}hren. Die Kraniosynostose ist eine der h{\"a}ufigsten kraniofazialen Fehlbildungen beim Menschen. Durch kompensatorisches Wachstum an den nicht fusionierten Suturen entstehen charakteristische Sch{\"a}deldeformationen, die sekund{\"a}r einen erh{\"o}hten intrakranialen Druck zur Folge haben k{\"o}nnen. Eine vorzeitige Fusion der Suturen kann sowohl isoliert als auch syndromal zusammen mit weiteren klinischen Auff{\"a}lligkeiten vorliegen. Bisher sind {\"u}ber 150 verschiedene Kraniosynostose Syndrome beschrieben und insgesamt 25-30\% aller Kraniosynostose Patienten sind von einer syndromalen Form betroffen. Da die klinischen Merkmale der Kraniosynostose Syndrome variabel sind und zum Teil {\"u}berlappen, ist eine klare klinische Diagnose h{\"a}ufig erschwert. Sowohl Umwelteinfl{\"u}sse als auch genetische Ver{\"a}nderungen k{\"o}nnen die Ursache f{\"u}r Kraniosynostosen sein. Vor allem bei syndromalen Kraniosynostosen wurden genetische Ver{\"a}nderungen, wie beispielsweise Mutationen in den Genen FGFR2, FGFR3, TWIST1 und EFNB1, identifiziert. Dar{\"u}ber hinaus wurden chromosomale Ver{\"a}nderungen wie partielle Monosomien von 7p, 9p oder 11p sowie partielle Trisomien von 5q, 13q oder 15q mit Kraniosynostose assoziiert. Trotzdem ist in {\"u}ber 50\% der F{\"a}lle die genetische Ursache unbekannt und die Pathogenese von Kraniosynostosen noch nicht vollst{\"a}ndig gekl{\"a}rt. Ziel dieser Arbeit war es neue genetische Ursachen bei Kraniosynostose Patienten zu identifizieren und so zur Aufkl{\"a}rung der Pathogenese beizutragen. Es wurde die genomische DNA von 83 Patienten molekulargenetisch durch Mikroarray basierte vergleichende Genomhybridisierung (Array-CGH) oder durch ein speziell entworfenes Next Generation Sequencing (NGS) Genpanel untersucht. Bei 30\% der Patienten konnte eine potentiell pathogene Ver{\"a}nderung identifiziert werden. Davon waren 23\% chromosomale Aberrationen wie unbalancierte Translokationen, isolierte interstitielle Verluste und ein Zugewinn an genomischen Material. Bei zwei Patienten wurden unbalancierte Translokationen mit partieller 5q Trisomie nachgewiesen. Das Gen MSX2 liegt innerhalb des duplizierten Bereichs, sodass m{\"o}glicherweise eine MSX2 {\"U}berexpression vorliegt. F{\"u}r ein normales Sch{\"a}delwachstum ist jedoch die richtige Menge an MSX2 kritisch. Des Weiteren wurde eine partielle Deletion von TCF12 detektiert, die in einer Haploinsuffizienz von TCF12 resultiert. TCF12 Mutationen sind mit Koronarnahtsynosten assoziiert. In einem anderen Fall lag das Gen FGF10 innerhalb der duplizierten 5p15.1-p12 Region. Das Gen kodiert f{\"u}r einen Liganden des FGF Signalwegs und wurde bisher noch nicht mit Kraniosynostose assoziiert. Aufgrund dessen wurden Analysen im Tiermodell Danio rerio durchgef{\"u}hrt. Eine simulierte {\"U}berexpression durch Injektion der fgf10a mRNA in das 1-Zell Stadium f{\"u}hrte zu schweren Gehirn-, Herz- und Augendefekten. Mittels NGS wurden 77\% der potentiell pathogenen genetischen Ver{\"a}nderungen identifiziert. Hierf{\"u}r wurde in dieser Arbeit ein Genpanel erstellt, das 68 Gene umfasst. Es wurden sowohl bekannte Kraniosynostose- als auch Kandidaten-Gene sowie Gene, die mit der Ossifikation assoziiert sind, in die Analyse eingeschlossen. Das Genpanel wurde durch die Sequenzierung von f{\"u}nf Kontrollproben mit bekannten Mutationen erfolgreich validiert. Anschließend wurde die genomische DNA von 66 Patienten analysiert. Es konnten 20 (potentiell) pathogene Varianten identifiziert werden. Neben bereits bekannten Mutationen in den Genen FGFR1, FGFR2, FGFR3 und TWIST1, konnten zus{\"a}tzlich 8 neue, potentiell pathogene Varianten in den Genen ERF, MEGF8, MSX2, PTCH1 und TCF12 identifiziert werden. Die Ergebnisse dieser Arbeit tragen dazu bei das Mutationsspektrum dieser Gene zu erweitern. Bei zwei der Varianten handelte es sich um potentielle Spleißvarianten. F{\"u}r diese konnte in einem in vitro Spleißsystem gezeigt werden, dass sie eine {\"A}nderung des Spleißmusters bewirken. Der Nachweis von zwei seltenen Varianten in den Genen FGFR2 und HUWE1 hat außerdem dazu beigetragen die Pathogenit{\"a}t dieser spezifischen Varianten zu bekr{\"a}ftigen. Eine Variante in POR, die aufgrund bioinformatischer Analysen als potentiell pathogen bewertet wurde, wurde nach der Segregationsanalyse als wahrscheinlich benigne eingestuft. Zusammenfassend konnten bei etwa einem Drittel der Patienten, die mit dem NGS Genpanel analysiert wurden, eine genetische Ursache identifiziert werden. Dieses Genpanel stellt somit ein effizientes diagnostisches Tool dar, das zuk{\"u}nftig in der genetischen Routine-Diagnostik von Kraniosynostose-Patienten eingesetzt werden kann. Die Ergebnisse dieser Arbeit zeigen, dass sowohl eine Untersuchung auf CNVs als auch auf Sequenz{\"a}nderungen bei Kraniosynostose Patienten sinnvoll ist.}, subject = {Kraniosynostose}, language = {de} } @phdthesis{Njovu2019, author = {Njovu, Henry Kenneth}, title = {Patterns and drivers of herbivore diversity and invertebrate herbivory along elevational and land use gradients at Mt. Kilimanjaro, Tanzania}, doi = {10.25972/OPUS-17254}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-172544}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2019}, abstract = {This thesis elucidates patterns and drivers of invertebrate herbivory, herbivore diversity, and community-level biomass along elevational and land use gradients at Mt. Kilimanjaro, Tanzania. Chapter I provides background information on the response and predictor variables, study system, and the study design. First, I give an overview of the elevational patterns of species diversity/richness and herbivory published in the literature. The overview illuminates existing debates on elevational patterns of species diversity/richness and herbivory. In connection to these patterns, I also introduce several hypotheses and mechanisms put forward to explain macroecological patterns of species richness. Furthermore, I explain the main variables used to test hypotheses. Finally, I describe the study system and the study design used. Chapter II explores the patterns of invertebrate herbivory and their underlying drivers along extensive elevational and land use gradients on the southern slopes of Mt. Kilimanjaro. I recorded standing leaf herbivory from leaf chewers, leaf miners and gall-inducing insects on 55 study sites located in natural and anthropogenic habitats distributed from 866 to 3060 meters above sea level (m asl) on Mt. Kilimanjaro. Standing leaf herbivory was related to climatic variables [mean annual temperature - (MAT) and mean annual precipitation - (MAP)], net primary productivity (NPP) and plant functional traits (leaf traits) [specific leaf area (SLA), carbon to nitrogen ratio (CN), and nitrogen to phosphorous ratio (NP)]. Results revealed an unimodal pattern of total leaf herbivory along the elevation gradient in natural habitats. Findings also revealed differences in the levels and patterns of herbivory among feeding guilds and between anthropogenic and natural habitats. Changes in NP and CN ratios which were closely linked to NPP were the strongest predictors of leaf herbivory. Our study uncovers the role of leaf nutrient stoichiometry and its linkages to climate in explaining the variation in leaf herbivory along climatic gradients. Chapter III presents patterns and unravels direct and indirect effects of resource (food) abundance (NPP), resource (food) diversity [Functional Dispersion (FDis)], resource quality (SLA, NP, and CN rations), and climate variables (MAT and MAP) on species diversity of phytophagous beetles. Data were collected from 65 study sites located in natural and anthropogenic habitats distributed from 866 to 4550 m asl on the southern slopes of Mt. Kilimanjaro. Sweep net and beating methods were used to collect a total of 3,186 phytophagous beetles representing 21 families and 304 morphospecies. Two groups, weevils (Curculionidae) and leaf beetles (Chrysomelidae) were the largest and most diverse families represented with 898 and 1566 individuals, respectively. Results revealed complex (bimodal) and dissimilar patterns of Chao1-estimated species richness (hereafter referred to as species diversity) along elevation and land use gradients. Results from path analysis showed that temperature and climate-mediated changes in NPP had a significant positive direct and indirect effect on species diversity of phytophagous beetles, respectively. The results also revealed that the effect of NPP (via beetles abundance and diversity of food resources) on species diversity is stronger than that of temperature. Since we found that factors affecting species diversity were intimately linked to climate, I concluded that predicted climatic changes over the coming decades will likely alter the species diversity patterns which we observe today. Chapter IV presents patterns and unravels the direct and indirect effects of climate, NPP and anthropogenic disturbances on species richness and community-level biomass of wild large mammals which represent endothermic organisms and the most important group of vertebrate herbivores. Data were collected from 66 study sites located in natural and anthropogenic habitats distributed from 870 to 4550 m asl on the southern slopes of Mt. Kilimanjaro. Mammals were collected using camera traps and used path analysis to disentangle the direct and indirect effects of climatic variables, NPP, land use, land area, levels of habitat protection and occurrence of domesticated mammals on the patterns of richness and community-level biomass of wild mammals, respectively. Results showed unimodal patterns for species richness and community-level biomass of wild mammals along elevation gradients and that the patterns differed depending on the type of feeding guild. Findings from path analysis showed that net primary productivity and levels of habitat protection had a strong direct effect on species richness and community-level biomass of wild mammals whereas temperature had an insignificant direct effect. Findings show the importance of climate-mediated food resources in determining patterns of species richness of large mammals. While temperature is among key predictors of species richness in several ectotherms, its direct influence in determining species richness of wild mammals was insignificant. Findings show the sensitivity of wild mammals to anthropogenic influences and underscore the importance of protected areas in conserving biodiversity. In conclusion, despite a multitude of data sets on species diversity and ecosystem functions along broad climatic gradients, there is little mechanistic understanding of the underlying causes. Findings obtained in the three studies illustrate their contribution to the scientific debates on the mechanisms underlying patterns of herbivory and diversity along elevation gradients. Results present strong evidence that plant functional traits play a key role in determining invertebrate herbivory and species diversity along elevation gradients and that, their strong interdependence with climate and anthropogenic activities will shape these patterns in future. Additionally, findings from path analysis demonstrated that herbivore diversity, community-level biomass, and herbivory are strongly influenced by climate (either directly or indirectly). Therefore, the predicted climatic changes are expected to dictate ecological patterns, biotic interactions, and energy and nutrient fluxes in terrestrial ecosystems in the coming decades with stronger impacts probably occurring in natural ecosystems. Furthermore, findings demonstrated the significance of land use effects in shaping ecological patterns. As anthropogenic pressure is advancing towards more pristine higher elevations, I advocate conservation measures which are responsive to and incorporate human dimensions to curb the situation. Although our findings emanate from observational studies which have to take several confounding factors into account, we have managed to demonstrate global change responses in real ecosystems and fully established organisms with a wide range of interactions which are unlikely to be captured in artificial experiments. Nonetheless, I recommend additional experimental studies addressing the effect of top-down control by natural enemies on herbivore diversity and invertebrate herbivory in order to deepen our understanding of the mechanisms driving macroecological patterns along elevation gradients.  }, subject = {Species richness}, language = {en} } @article{DuquePoelmanSteffanDewenter2019, author = {Duque, Laura and Poelman, Erik H. and Steffan-Dewenter, Ingolf}, title = {Plant-mediated effects of ozone on herbivores depend on exposure duration and temperature}, series = {Scientific Reports}, volume = {9}, journal = {Scientific Reports}, doi = {10.1038/s41598-019-56234-z}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-202805}, pages = {19891}, year = {2019}, abstract = {Abiotic stress by elevated tropospheric ozone and temperature can alter plants' metabolism, growth, and nutritional value and modify the life cycle of their herbivores. We investigated how the duration of exposure of Sinapis arvensis plants to high ozone and temperature levels affect the life cycle of the large cabbage white, Pieris brassicae. Plants were exposed to ozone-clean (control) or ozone-enriched conditions (120 ppb) for either 1 or 5 days and were afterwards kept in a greenhouse with variable temperature conditions. When given the choice, P. brassicae butterflies laid 49\% fewer eggs on ozone-exposed than on control plants when the exposure lasted for 5 days, but showed no preference when exposure lasted for 1 day. The caterpillars took longer to hatch on ozone-exposed plants and at lower ambient temperatures. The ozone treatment had a positive effect on the survival of the eggs. Ozone decreased the growth of caterpillars reared at higher temperatures on plants exposed for 5 days, but not on plants exposed for 1 day. Overall, longer exposure of the plants to ozone and higher temperatures affected the life cycle of the herbivore more strongly. With global warming, the indirect impacts of ozone on herbivores are likely to become more common.}, language = {en} } @phdthesis{Letschert2019, author = {Letschert, Sebastian}, title = {Quantitative Analysis of Membrane Components using Super-Resolution Microscopy}, doi = {10.25972/OPUS-16213}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-162139}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2019}, abstract = {The plasma membrane is one of the most thoroughly studied and at the same time most complex, diverse, and least understood cellular structures. Its function is determined by the molecular composition as well as the spatial arrangement of its components. Even after decades of extensive membrane research and the proposal of dozens of models and theories, the structural organization of plasma membranes remains largely unknown. Modern imaging tools such as super-resolution fluorescence microscopy are one of the most efficient techniques in life sciences and are widely used to study the spatial arrangement and quantitative behavior of biomolecules in fixed and living cells. In this work, direct stochastic optical reconstruction microscopy (dSTORM) was used to investigate the structural distribution of mem-brane components with virtually molecular resolution. Key issues are different preparation and staining strategies for membrane imaging as well as localization-based quantitative analyses of membrane molecules. An essential precondition for the spatial and quantitative analysis of membrane components is the prevention of photoswitching artifacts in reconstructed localization microscopy images. Therefore, the impact of irradiation intensity, label density and photoswitching behavior on the distribution of plasma membrane and mitochondrial membrane proteins in dSTORM images was investigated. It is demonstrated that the combination of densely labeled plasma membranes and inappropriate photoswitching rates induces artificial membrane clusters. Moreover, inhomogeneous localization distributions induced by projections of three-dimensional membrane structures such as microvilli and vesicles are prone to generate artifacts in images of biological membranes. Alternative imaging techniques and ways to prevent artifacts in single-molecule localization microscopy are presented and extensively discussed. Another central topic addresses the spatial organization of glycosylated components covering the cell membrane. It is shown that a bioorthogonal chemical reporter system consisting of modified monosaccharide precursors and organic fluorophores can be used for specific labeling of membrane-associated glycoproteins and -lipids. The distribution of glycans was visualized by dSTORM showing a homogeneous molecule distribution on different mammalian cell lines without the presence of clusters. An absolute number of around five million glycans per cell was estimated and the results show that the combination of metabolic labeling, click chemistry, and single-molecule localization microscopy can be efficiently used to study cell surface glycoconjugates. In a third project, dSTORM was performed to investigate low-expressing receptors on cancer cells which can act as targets in personalized immunotherapy. Primary multiple myeloma cells derived from the bone marrow of several patients were analyzed for CD19 expression as potential target for chimeric antigen receptor (CAR)-modified T cells. Depending on the patient, 60-1,600 CD19 molecules per cell were quantified and functional in vitro tests demonstrate that the threshold for CD19 CAR T recognition is below 100 CD19 molecules per target cell. Results are compared with flow cytometry data, and the important roles of efficient labeling and appropriate control experiments are discussed.}, subject = {Fluoreszenzmikroskopie}, language = {en} }