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Src1 is a Protein of the Inner Nuclear Membrane Interacting with the Dictyostelium Lamin NE81
(2016)
The nuclear envelope (NE) consists of the outer and inner nuclear membrane (INM), whereby the latter is bound to the nuclear lamina. Src1 is a Dictyostelium homologue of the helix-extension-helix family of proteins, which also includes the human lamin-binding protein MAN1. Both endogenous Src1 and GFP-Src1 are localized to the NE during the entire cell cycle. Immuno-electron microscopy and light microscopy after differential detergent treatment indicated that Src1 resides in the INM. FRAP experiments with GFP-Src1 cells suggested that at least a fraction of the protein could be stably engaged in forming the nuclear lamina together with the Dictyostelium lamin NE81. Both a BioID proximity assay and mis-localization of soluble, truncated mRFP-Src1 at cytosolic clusters consisting of an intentionally mis-localized mutant of GFP-NE81 confirmed an interaction of Src1 and NE81. Expression GFP-Src11–646, a fragment C-terminally truncated after the first transmembrane domain, disrupted interaction of nuclear membranes with the nuclear lamina, as cells formed protrusions of the NE that were dependent on cytoskeletal pulling forces. Protrusions were dependent on intact microtubules but not actin filaments. Our results indicate that Src1 is required for integrity of the NE and highlight Dictyostelium as a promising model for the evolution of nuclear architecture.
The cytoskeleton is an essential component of living cells. It is composed of different types of protein filaments that form complex, dynamically rearranging, and interconnected networks. The cytoskeleton serves a multitude of cellular functions which further depend on the cell context. In animal cells, the cytoskeleton prominently shapes the cell's mechanical properties and movement. In plant cells, in contrast, the presence of a rigid cell wall as well as their larger sizes highlight the role of the cytoskeleton in long-distance intracellular transport. As it provides the basis for cell growth and biomass production, cytoskeletal transport in plant cells is of direct environmental and economical relevance. However, while knowledge about the molecular details of the cytoskeletal transport is growing rapidly, the organizational principles that shape these processes on a whole-cell level remain elusive.
This thesis is devoted to the following question: How does the complex architecture of the plant cytoskeleton relate to its transport functionality? The answer requires a systems level perspective of plant cytoskeletal structure and transport. To this end, I combined state-of-the-art confocal microscopy, quantitative digital image analysis, and mathematically powerful, intuitively accessible graph-theoretical approaches.
This thesis summarizes five of my publications that shed light on the plant cytoskeleton as a transportation network: (1) I developed network-based frameworks for accurate, automated quantification of cytoskeletal structures, applicable in, e.g., genetic or chemical screens; (2) I showed that the actin cytoskeleton displays properties of efficient transport networks, hinting at its biological design principles; (3) Using multi-objective optimization, I demonstrated that different plant cell types sustain cytoskeletal networks with cell-type specific and near-optimal organization; (4) By investigating actual transport of organelles through the cell, I showed that properties of the actin cytoskeleton are predictive of organelle flow and provided quantitative evidence for a coordination of transport at a cellular level; (5) I devised a robust, optimization-based method to identify individual cytoskeletal filaments from a given network representation, allowing the investigation of single filament properties in the network context. The developed methods were made publicly available as open-source software tools.
Altogether, my findings and proposed frameworks provide quantitative, system-level insights into intracellular transport in living cells. Despite my focus on the plant cytoskeleton, the established combination of experimental and theoretical approaches is readily applicable to different organisms. Despite the necessity of detailed molecular studies, only a complementary, systemic perspective, as presented here, enables both understanding of cytoskeletal function in its evolutionary context as well as its future technological control and utilization.
Seit der Einführung von Antibiotika in die medizinische Behandlung von bakteriellen Infektionskrankheiten existiert ein Wettlauf zwischen der Evolution von Bakterienresistenzen und der Entwicklung wirksamer Antibiotika. Während bis in die 80er Jahre verstärkt an neuen Antibiotika geforscht wurde, gewinnen multiresistente Keime heute zunehmend die Oberhand. Um einzelne Pathogene erfolgreich nachzuweisen und zu bekämpfen, ist ein grundlegendes Wissen über den Erreger unumgänglich. Bakterielle Proteine, die bei einer Infektion vorrangig vom Immunsystem prozessiert und präsentiert werden, könnten für die Entwicklung von Impfstoffen oder gezielten Therapeutika nützlich sein. Auch für die Diagnostik wären diese immundominanten Proteine interessant. Allerdings herrscht ein Mangel an Wissen über spezifische Antigene vieler pathogener Bakterien, die eine eindeutige Diagnostik eines einzelnen Erregers erlauben würden.
Daher wurden in dieser Arbeit vier verschiedene Humanpathogene mittels Phage Display untersucht: Neisseria gonorrhoeae, Neisseria meningitidis, Borrelia burgdorferi und Clostridium difficile. Hierfür wurden aus der genomischen DNA der vier Erreger Bibliotheken konstruiert und durch wiederholte Selektion und Amplifikation, dem sogenannten Panning, immunogene Proteine isoliert. Für alle Erreger bis auf C. difficile wurden immunogene Proteine aus den jeweiligen Bibliotheken isoliert. Die identifizierten Proteine von N. meningitidis und B. burgdorferi waren größtenteils bekannt, konnten aber in dieser Arbeit durch Phage Display verifiziert werden. Für N. gonorrhoeae wurden 21 potentiell immunogene Oligopeptide isoliert, von denen sechs Proteine als neue zuvor unbeschriebene Proteine mit immunogenem Charakter identifiziert wurden. Von den Phagen-präsentierten Oligopeptide der 21 immunogenen Proteine wurden Epitopmappings mit verschiedenen polyklonalen Antikörpern durchgeführt, um immunogene Bereiche näher zu identifizieren und zu charakterisieren. Bei zehn Proteinen wurden lineare Epitope eindeutig mit drei polyklonalen Antikörpern identifiziert, von fünf weiteren Proteinen waren Epitope mit mindestens einem Antikörper detektierbar. Für eine weitere Charakterisierung der ermittelten Epitope wurden Alaninscans durchgeführt, die eine detaillierte Auskunft über kritische Aminosäuren für die Bindung des Antikörpers an das Epitop geben.
Ausgehend von dem neu identifizierten Protein mit immunogenem Charakter NGO1634 wurden 26 weitere Proteine aufgrund ihrer funktionellen Ähnlichkeit ausgewählt und mithilfe bioinformatischer Analysen auf ihre Eignung zur Entwicklung einer diagnostischen Anwendung analysiert. Durch Ausschluss der meisten Proteine aufgrund ihrer Lokalisation, Membrantopologie oder unspezifischen Proteinsequenz wurden scFv-Antikörper gegen acht Proteine mittels Phage Display generiert und anschließend als scFv-Fc-Fusionsantikörper produziert und charakterisiert.
Die hier identifizierten Proteine und linearen Epitope könnten einen Ansatzpunkt für die Entwicklung einer diagnostischen oder therapeutischen Anwendung bieten. Lineare Epitopsequenzen werden häufig für die Impfstoffentwicklung eingesetzt, sodass vor allem die in dieser Arbeit bestimmten Epitope von Membranproteinen interessante Kandidaten für weitere Untersuchungen in diese Richtung sind. Durch weitere Untersuchungen könnten möglicherweise unbekannte Virulenzfaktoren entdeckt werden, deren Inhibierung einen entscheidenden Einfluss auf Infektionen haben könnten.
Fruits exhibit a vast array of different 3D shapes, from simple spheres and cylinders to more complex curved forms; however, the mechanism by which growth is oriented and coordinated to generate this diversity of forms is unclear. Here, we compare the growth patterns and orientations for two very different fruit shapes in the Brassicaceae: the heart-shaped Capsella rubella silicle and the near-cylindrical Arabidopsis thaliana silique. We show, through a combination of clonal and morphological analyses, that the different shapes involve different patterns of anisotropic growth during three phases. These experimental data can be accounted for by a tissue level model in which specified growth rates vary in space and time and are oriented by a proximodistal polarity field. The resulting tissue conflicts lead to deformation of the tissue as it grows. The model allows us to identify tissue-specific and temporally specific activities required to obtain the individual shapes. One such activity may be provided by the valve-identity gene FRUITFULL, which we show through comparative mutant analysis to modulate fruit shape during post-fertilisation growth of both species. Simple modulations of the model presented here can also broadly account for the variety of shapes in other Brassicaceae species, thus providing a simplified framework for fruit development and shape diversity.
The human immunodeficiency virus (HIV) has resisted nearly three decades of efforts targeting a cure. Sustained suppression of the virus has remained a challenge, mainly due
to the remarkable evolutionary adaptation that the virus exhibits by the accumulation of drug-resistant mutations in its genome. Current therapeutic strategies aim at achieving and maintaining a low viral burden and typically involve multiple drugs. The choice of optimal combinations of these drugs is crucial, particularly in the background of treatment failure having occurred previously with certain other drugs. An understanding of the dynamics of viral mutant genotypes aids in the assessment of treatment failure with a certain drug
combination, and exploring potential salvage treatment regimens.
Mathematical models of viral dynamics have proved invaluable in understanding the viral life cycle and the impact of antiretroviral drugs. However, such models typically use simplified and coarse-grained mutation schemes, that curbs the extent of their application to drug-specific clinical mutation data, in order to assess potential next-line therapies. Statistical
models of mutation accumulation have served well in dissecting mechanisms of resistance evolution by reconstructing mutation pathways under different drug-environments. While these models perform well in predicting treatment outcomes by statistical learning, they do not incorporate drug effect mechanistically. Additionally, due to an inherent lack of
temporal features in such models, they are less informative on aspects such as predicting mutational abundance at treatment failure. This limits their application in analyzing the
pharmacology of antiretroviral drugs, in particular, time-dependent characteristics of HIV therapy such as pharmacokinetics and pharmacodynamics, and also in understanding the impact of drug efficacy on mutation dynamics.
In this thesis, we develop an integrated model of in vivo viral dynamics incorporating drug-specific mutation schemes learned from clinical data. Our combined modelling
approach enables us to study the dynamics of different mutant genotypes and assess mutational abundance at virological failure. As an application of our model, we estimate in vivo
fitness characteristics of viral mutants under different drug environments. Our approach also extends naturally to multiple-drug therapies. Further, we demonstrate the versatility of our model by showing how it can be modified to incorporate recently elucidated mechanisms of drug action including molecules that target host factors.
Additionally, we address another important aspect in the clinical management of HIV disease, namely drug pharmacokinetics. It is clear that time-dependent changes in in vivo
drug concentration could have an impact on the antiviral effect, and also influence decisions on dosing intervals. We present a framework that provides an integrated understanding
of key characteristics of multiple-dosing regimens including drug accumulation ratios and half-lifes, and then explore the impact of drug pharmacokinetics on viral suppression.
Finally, parameter identifiability in such nonlinear models of viral dynamics is always a concern, and we investigate techniques that alleviate this issue in our setting.
Species can adjust their traits in response to selection which may strongly influence species coexistence. Nevertheless, current theory mainly assumes distinct and time-invariant trait values. We examined the combined effects of the range and the speed of trait adaptation on species coexistence using an innovative multispecies predator–prey model. It allows for temporal trait changes of all predator and prey species and thus simultaneous coadaptation within and among trophic levels. We show that very small or slow trait adaptation did not facilitate coexistence because the stabilizing niche differences were not sufficient to offset the fitness differences. In contrast, sufficiently large and fast trait adaptation jointly promoted stable or neutrally stable species coexistence. Continuous trait adjustments in response to selection enabled a temporally variable convergence and divergence of species traits; that is, species became temporally more similar (neutral theory) or dissimilar (niche theory) depending on the selection pressure, resulting over time in a balance between niche differences stabilizing coexistence and fitness differences promoting competitive exclusion. Furthermore, coadaptation allowed prey and predator species to cluster into different functional groups. This equalized the fitness of similar species while maintaining sufficient niche differences among functionally different species delaying or preventing competitive exclusion. In contrast to previous studies, the emergent feedback between biomass and trait dynamics enabled supersaturated coexistence for a broad range of potential trait adaptation and parameters. We conclude that accounting for trait adaptation may explain stable and supersaturated species coexistence for a broad range of environmental conditions in natural systems when the absence of such adaptive changes would preclude it. Small trait changes, coincident with those that may occur within many natural populations, greatly enlarged the number of coexisting species.
A model analysis of mechanisms for radial microtubular patterns at root hair initiation sites
(2016)
Plant cells have two main modes of growth generating anisotropic structures. Diffuse growth where whole cell walls extend in specific directions, guided by anisotropically positioned cellulose fibers, and tip growth, with inhomogeneous addition of new cell wall material at the tip of the structure. Cells are known to regulate these processes via molecular signals and the cytoskeleton. Mechanical stress has been proposed to provide an input to the positioning of the cellulose fibers via cortical microtubules in diffuse growth. In particular, a stress feedback model predicts a circumferential pattern of fibers surrounding apical tissues and growing primordia, guided by the anisotropic curvature in such tissues. In contrast, during the initiation of tip growing root hairs, a star-like radial pattern has recently been observed. Here, we use detailed finite element models to analyze how a change in mechanical properties at the root hair initiation site can lead to star-like stress patterns in order to understand whether a stress-based feedback model can also explain the microtubule patterns seen during root hair initiation. We show that two independent mechanisms, individually or combined, can be sufficient to generate radial patterns. In the first, new material is added locally at the position of the root hair. In the second, increased tension in the initiation area provides a mechanism. Finally, we describe how a molecular model of Rho-of-plant (ROP) GTPases activation driven by auxin can position a patch of activated ROP protein basally along a 2D root epidermal cell plasma membrane, paving the way for models where mechanical and molecular mechanisms cooperate in the initial placement and outgrowth of root hairs.
The population structure of the highly mobile marine mammal, the harbor porpoise (Phocoena phocoena), in the Atlantic shelf waters follows a pattern of significant isolation-by-distance. The population structure of harbor porpoises from the Baltic Sea, which is connected with the North Sea through a series of basins separated by shallow underwater ridges, however, is more complex. Here, we investigated the population differentiation of harbor porpoises in European Seas with a special focus on the Baltic Sea and adjacent waters, using a population genomics approach. We used 2872 single nucleotide polymorphisms (SNPs), derived from double digest restriction-site associated DNA sequencing (ddRAD-seq), as well as 13 microsatellite loci and mitochondrial haplotypes for the same set of individuals. Spatial principal components analysis (sPCA), and Bayesian clustering on a subset of SNPs suggest three main groupings at the level of all studied regions: the Black Sea, the North Atlantic, and the Baltic Sea. Furthermore, we observed a distinct separation of the North Sea harbor porpoises from the Baltic Sea populations, and identified splits between porpoise populations within the Baltic Sea. We observed a notable distinction between the Belt Sea and the Inner Baltic Sea sub-regions. Improved delineation of harbor porpoise population assignments for the Baltic based on genomic evidence is important for conservation management of this endangered cetacean in threatened habitats, particularly in the Baltic Sea proper. In addition, we show that SNPs outperform microsatellite markers and demonstrate the utility of RAD-tags from a relatively small, opportunistically sampled cetacean sample set for population diversity and divergence analysis.
In this dissertation, an electric field-assisted method was developed and applied to achieve immobilization and alignment of biomolecules on metal electrodes in a simple one-step experiment. Neither modifications of the biomolecule nor of the electrodes were needed. The two major electrokinetic effects that lead to molecule motion in the chosen electrode configurations used were identified as dielectrophoresis and AC electroosmotic flow. To minimize AC electroosmotic flow, a new 3D electrode configuration was designed. Thus, the influence of experimental parameters on the dielectrophoretic force and the associated molecule movement could be studied. Permanent immobilization of proteins was examined and quantified absolutely using an atomic force microscope. By measuring the volumes of the immobilized protein deposits, a maximal number of proteins contained therein was calculated. This was possible since the proteins adhered to the tungsten electrodes even after switching off the electric field. The permanent immobilization of functional proteins on surfaces or electrodes is one crucial prerequisite for the fabrication of biosensors.
Furthermore, the biofunctionality of the proteins must be retained after immobilization. Due to the chemical or physical modifications on the proteins caused by immobilization, their biofunctionality is sometimes hampered. The activity of dielectrophoretically immobilized proteins, however, was proven here for an enzyme for the first time. The enzyme horseradish peroxidase was used exemplarily, and its activity was demonstrated with the oxidation of dihydrorhodamine 123, a non-fluorescent precursor of the fluorescence dye rhodamine 123.
Molecular alignment and immobilization - reversible and permanent - was achieved under the influence of inhomogeneous AC electric fields. For orientational investigations, a fluorescence microscope setup, a reliable experimental procedure and an evaluation protocol were developed and validated using self-made control samples of aligned acridine orange molecules in a liquid crystal.
Lambda-DNA strands were stretched and aligned temporarily between adjacent interdigitated electrodes, and the orientation of PicoGreen molecules, which intercalate into the DNA strands, was determined. Similarly, the aligned immobilization of enhanced Green Fluorescent Protein was demonstrated exploiting the protein's fluorescence and structural properties. For this protein, the angle of the chromophore with respect to the protein's geometrical axis was determined in good agreement with X-ray crystallographic data. Permanent immobilization with simultaneous alignment of the proteins was achieved along the edges, tips and on the surface of interdigitated electrodes. This was the first demonstration of aligned immobilization of proteins by electric fields.
Thus, the presented electric field-assisted immobilization method is promising with regard to enhanced antibody binding capacities and enzymatic activities, which is a requirement for industrial biosensor production, as well as for general interaction studies of proteins.
Liverwort Blasia pusilla L. recruits soil nitrogen-fixing cyanobacteria of genus Nostoc as symbiotic partners. In this work we compared Nostoc community composition inside the plants and in the soil around them from two distant locations in Northern Norway. STRR fingerprinting and 16S rDNA phylogeny reconstruction showed a remarkable local diversity among isolates assigned to several Nostoc clades. An extensive web of negative allelopathic interactions was recorded at an agricultural site, but not at the undisturbed natural site. The cell extracts of the cyanobacteria did not show antimicrobial activities, but four isolates were shown to be cytotoxic to human cells. The secondary metabolite profiles of the isolates were mapped by MALDI-TOF MS, and the most prominent ions were further analyzed by Q-TOF for MS/MS aided identification. Symbiotic isolates produced a great variety of small peptide-like substances, most of which lack any record in the databases. Among identified compounds we found microcystin and nodularin variants toxic to eukaryotic cells. Microcystin producing chemotypes were dominating as symbiotic recruits but not in the free-living community. In addition, we were able to identify several novel aeruginosins and banyaside-like compounds, as well as nostocyclopeptides and nosperin.
Background:
Environmental stress puts organisms at risk and requires specific stress-tailored responses to maximize
survival. Long-term exposure to stress necessitates a global reprogramming of the cellular activities at different
levels of gene expression.
Results:
Here, we use ribosome profiling and RNA sequencing to globally profile the adaptive response of
Arabidopsis thaliana
to prolonged heat stress. To adapt to long heat exposure, the expression of many genes is
modulated in a coordinated manner at a transcriptional and translational level. However, a significant group of
genes opposes this trend and shows mainly translational regulation. Different secondary structure elements are
likely candidates to play a role in regulating translation of those genes.
Conclusions:
Our data also uncover on how the subunit stoichiometry of multimeric protein complexes in plastids
is maintained upon heat exposure.
Among the bloom-forming and potentially harmful cyanobacteria, the genus Microcystis represents a most diverse taxon, on the genomic as well as on morphological and secondary metabolite levels. Microcystis communities are composed of a variety of diversified strains. The focus of this study lies on potential interactions between Microcystis representatives and the roles of secondary metabolites in these interaction processes.
The role of secondary metabolites functioning as signaling molecules in the investigated interactions is demonstrated exemplary for the prevalent hepatotoxin microcystin. The extracellular and intracellular roles of microcystin are tested in microarray-based transcriptomic approaches. While an extracellular effect of microcystin on Microcystis transcription is confirmed and connected to a specific gene cluster of another secondary metabolite in this study, the intracellularly occurring microcystin is related with several pathways of the primary metabolism. A clear correlation of a microcystin knockout and the SigE-mediated regulation of carbon metabolism is found. According to the acquired transcriptional data, a model is proposed that postulates the regulating effect of microcystin on transcriptional regulators such as the alternative sigma factor SigE, which in return captures an essential role in sugar catabolism and redox-state regulation.
For the purpose of simulating community conditions as found in the field, Microcystis colonies are isolated from the eutrophic lakes near Potsdam, Germany and established as stably growing under laboratory conditions. In co-habitation simulations, the recently isolated field strain FS2 is shown to specifically induce nearly immediate aggregation reactions in the axenic lab strain Microcystis aeruginosa PCC 7806. In transcriptional studies via microarrays, the induced expression program in PCC 7806 after aggregation induction is shown to involve the reorganization of cell envelope structures, a highly altered nutrient uptake balance and the reorientation of the aggregating cells to a heterotrophic carbon utilization, e.g. via glycolysis. These transcriptional changes are discussed as mechanisms of niche adaptation and acclimation in order to prevent competition for resources.
Jeden Tag werden unzählige Mengen an medizinischen Patientendaten in Krankenhäusern und Arztpraxen digital gespeichert. Für Forschungszwecke werden diese Daten bisher größtenteils nicht verwendet. Ziel dieser Arbeit ist es täglich anfallende anonymisierte Patientendaten, die aus einer Praxis für ganzheitliche Innere Medizin stammen, zu analysieren. Aufgrund mangelnder Kooperation seitens des Anbieters der Praxissoftware konnten die Patientendaten nicht automatisch extrahiert werden. Daher wurde eine Auswahl an Diagnosen und anthropometrischen Parametern manuell in eine Datenbank übertragen. Informationen über die Behandlung wurden dabei nicht berücksichtigt. Data-Mining Verfahren ermöglichen die Forschung auf der Grundlage von alltäglichen Patientendaten. Durch die Anwendung maschinellen Lernens kann Präventionsmedizin und die Überwachung von Behandlungsverläufen unterstützt werden.
Das Potenzial der Analyse dieser sonst weitgehend ungenutzten Daten wird anhand von Untersuchungen zur Komorbidität verdeutlicht. Dabei zeigt sich, dass einerseits das Metabolische Syndrom und dessen Komponenten zusammen mit Krebserkrankungen ein Cluster bilden und andererseits psychosomatische Störungen vermehrt mit Autoimmunerkrankungen der Schilddrüse auftreten. Außerdem wird eine noch nicht schulmedizinisch anerkannte Stoffwechselerkrankung, die Hämopyrrollaktamurie (HPU) untersucht. Diese lässt sich durch eine vermehrte Ausscheidung von Pyrrolen im Urin nachweisen. Bezüglich der Patienten bei denen ein HPU-Test vorliegt, weisen 84 % einen erhöhten Titer auf. Diese Beobachtung steht im Widerspruch zur vorherigen Annahme, dass in etwa 10 % der Bevölkerung von HPU betroffen sind.
Präventives Handeln ermöglicht es Gesundheit zu erhalten. Zu diesem Zweck ist es notwen- dig Krankheiten möglichst früh zu erkennen. In dieser Studie können Entscheidungsbaum-Modelle die Hashimoto Thyreoiditis mit einer Genauigkeit von 87.5 % bei einem Patienten diagnostizieren. Defizite durch die fehlenden Informationen über die medikamentöse Behandlung werden anhand des Modells zur Vorhersage von Hypothyreoiditis (Genauigkeit von 60.9 %) aufgezeigt.
Mit Hilfe von STATIS, das auf einer Erweiterung der Hauptkomponentenanalyse basiert, die es ermöglicht mehrere Tabellen simultan zu vergleichen, wurde der Behandlungsverlauf von 20 Patienten über einen Zeitraum von fünf Jahren überwacht. Anhand von Hypertonie wird gezeigt, dass sich sich die Patenten bezüglich Ihrer Laborwerte voneinander unterscheiden und sich Muster für Krankheiten erkennen lassen.
Diese Arbeit demonstriert den Nutzen, der durch die vermehrte Analyse alltäglicher hochdimensionaler und heterogener Daten erbracht werden kann.
The LEA (late embryogenesis abundant) proteins COR15A and COR15B from Arabidopsis thaliana are intrinsically disordered under fully hydrated conditions, but obtain α-helical structure during dehydration, which is reversible upon rehydration. To understand this unusual structural transition, both proteins were investigated by circular dichroism (CD) and molecular dynamics (MD) approaches. MD simulations showed unfolding of the proteins in water, in agreement with CD data obtained with both HIS-tagged and untagged recombinant proteins. Mainly intramolecular hydrogen bonds (H-bonds) formed by the protein backbone were replaced by H-bonds with water molecules. As COR15 proteins function in vivo as protectants in leaves partially dehydrated by freezing, unfolding was further assessed under crowded conditions. Glycerol reduced (40%) or prevented (100%) unfolding during MD simulations, in agreement with CD spectroscopy results. H-bonding analysis indicated that preferential exclusion of glycerol from the protein backbone increased stability of the folded state.
Für alle Organismen ist die Aufrechterhaltung ihres energetischen Gleichgewichts unter fluktuierenden Umweltbedingungen lebensnotwendig. In Eukaryoten steuern evolutionär konservierte Proteinkinasen, die in Pflanzen als SNF1-RELATED PROTEIN KINASE1 (SnRK1) bezeichnet werden, die Adaption an Stresssignale aus der Umwelt und an die Limitierung von Nährstoffen und zellulärer Energie. Die Aktivierung von SnRK1 bedingt eine umfangreiche transkriptionelle Umprogrammierung, die allgemein zu einer Repression energiekonsumierender Prozesse wie beispielsweise Zellteilung und Proteinbiosynthese und zu einer Induktion energieerzeugender, katabolischer Stoffwechselwege führt. Wie unterschiedliche Signale zu einer generellen sowie teilweise gewebe- und stressspezifischen SnRK1-vermittelten Antwort führen ist bisher noch nicht ausreichend geklärt, auch weil bislang nur wenige Komponenten der SnRK1-Signaltransduktion identifiziert wurden. In dieser Arbeit konnte ein Protein-Protein-Interaktionsnetzwerk um die SnRK1αUntereinheiten aus Arabidopsis AKIN10/AKIN11 etabliert werden. Dadurch wurden zunächst Mitglieder der pflanzenspezifischen DUF581-Proteinfamilie als Interaktionspartner der SnRK1α-Untereinheiten identifiziert. Diese Proteine sind über ihre konservierte DUF581Domäne, in der ein Zinkfinger-Motiv lokalisiert ist, fähig mit AKIN10/AKIN11 zu interagieren. In planta Ko-Expressionsanalysen zeigten, dass die DUF581-Proteine eine Verschiebung der nucleo-cytoplasmatischen Lokalisierung von AKIN10 hin zu einer nahezu ausschließlichen zellkernspezifischen Lokalisierung begünstigen sowie die Ko-Lokalisierung von AKIN10 und DUF581-Proteinen im Nucleus. In Bimolekularen Fluoreszenzkomplementations-Analysen konnte die zellkernspezifische Interaktion von DUF581-Proteinen mit SnRK1α-Untereinheiten in planta bestätigt werden. Außerhalb der DUF581-Domäne weisen die Proteine einander keine große Sequenzähnlichkeit auf. Aufgrund ihrer Fähigkeit mit SnRK1 zu interagieren, dem Fehlen von SnRK1Phosphorylierungsmotiven sowie ihrer untereinander sehr variabler gewebs-, entwicklungs- und stimulusspezifischer Expression wurde für DUF581-Proteine eine Funktion als Adaptoren postuliert, die unter bestimmten physiologischen Bedingungen spezifische Substratproteine in den SnRK1-Komplex rekrutieren. Auf diese Weise könnten DUF581Proteine die Interaktion von SnRK1 mit deren Zielproteinen modifizieren und eine Feinjustierung der SnRK1-Signalweiterleitung ermöglichen. Durch weiterführende Interaktionsstudien konnten DUF581-interagierende Proteine darunter Transkriptionsfaktoren, Proteinkinasen sowie regulatorische Proteine gefunden werden, die teilweise ebenfalls Wechselwirkungen mit SnRK1α-Untereinheiten aufzeigten. Im Rahmen dieser Arbeit wurde eines dieser Proteine für das eine Beteiligung an der SnRK1Signalweiterleitung als Transkriptionsregulator vermutet wurde näher charakterisiert. STKR1 (STOREKEEPER RELATED 1), ein spezifischer Interaktionspartner von DUF581-18, gehört zu einer pflanzenspezifischen Leucin-Zipper-Transkriptionsfaktorfamilie und interagiert in Hefe sowie in planta mit SnRK1. Die zellkernspezifische Interaktion von STKR1 und AKIN10 in Pflanzen unterstützt die Vermutung der kooperativen Regulation von Zielgenen. Weiterhin stabilisierte die Anwesenheit von AKIN10 die Proteingehalte von STKR1, das wahrscheinlich über das 26S Proteasom abgebaut wird. Da es sich bei STKR1 um ein Phosphoprotein mit SnRK1-Phosphorylierungsmotiv handelt, stellt es sehr wahrscheinlich ein SnRK1-Substrat dar. Allerdings konnte eine SnRK1-vermittelte Phosphorylierung von STKR1 in dieser Arbeit nicht gezeigt werden. Der Verlust von einer Phosphorylierungsstelle beeinflusste die Homo- und Heterodimerisierungsfähigkeit von STKR1 in Hefeinteraktionsstudien, wodurch eine erhöhte Spezifität der Zielgenregulation ermöglicht werden könnte. Außerdem wurden Arabidopsis-Pflanzen mit einer veränderten STKR1-Expression phänotypisch, physiologisch und molekularbiologisch charakterisiert. Während der Verlust der STKR1-Expression zu Pflanzen führte, die sich kaum von Wildtyp-Pflanzen unterschieden, bedingte die konstitutive Überexpression von STKR1 ein stark vermindertes Pflanzenwachstum sowie Entwicklungsverzögerungen hinsichtlich der Blühinduktion und Seneszenz ähnlich wie sie auch bei SnRK1α-Überexpression beschrieben wurden. Pflanzen dieser Linien waren nicht in der Lage Anthocyane zu akkumulieren und enthielten geringere Gehalte an Chlorophyll und Carotinoiden. Neben einem erhöhten nächtlichen Stärkeumsatz waren die Pflanzen durch geringere Saccharosegehalte im Vergleich zum Wildtyp gekennzeichnet. Eine Transkriptomanalyse ergab, dass in den STKR1-überexprimierenden Pflanzen unter Energiemangelbedingungen, hervorgerufen durch eine verlängerte Dunkelphase, eine größere Anzahl an Genen im Vergleich zum Wildtyp differentiell reguliert war als während der Lichtphase. Dies spricht für eine Beteiligung von STKR1 an Prozessen, die während der verlängerten Dunkelphase aktiv sind. Ein solcher ist beispielsweise die SnRK1-Signaltransduktion, die unter energetischem Stress aktiviert wird. Die STKR1Überexpression führte zudem zu einer verstärkten transkriptionellen Induktion von Abwehrassoziierten Genen sowie NAC- und WRKY-Transkriptionsfaktoren nach verlängerter Dunkelphase. Die Transkriptomdaten deuteten auf eine stimulusunabhängige Induktion von Abwehrprozessen hin und konnten eine Erklärung für die phänotypischen und physiologischen Auffälligkeiten der STKR1-Überexprimierer liefern.
Molekulare Charakterisierung von CP75, einem neuen centrosomalen Protein in Dictyostelium discoideum
(2016)
Das Centrosom ist ein Zellkern-assoziiertes Organell, das nicht von einer Membran umschlossen ist. Es spielt eine wichtige Rolle in vielen Mikrotubuli- abhängigen Prozessen wie Organellenpositionierung, Zellpolarität oder die Organisation der mitotischen Spindel. Das Centrosom von Dictyostelium besteht aus einer dreischichtigen Core-Struktur umgeben von einer Corona, die Mikrotubuli-nukleierende Komplexe enthält. Die Verdoppelung des Centrosoms in Dictyostelium findet zu Beginn der Mitose statt. In der Prophase vergrößert sich die geschichtete Core-Struktur und die Corona löst sich auf. Anschließend trennen sich die beiden äußeren Lagen der Core-Struktur und bilden in der Metaphase die beiden Spindelpole, die in der Telophase zu zwei vollständigen Centrosomen heranreifen. Das durch eine Proteom-Analyse identifizierte Protein CP75 lokalisiert am Centrosom abhängig von den Mitosephasen. Es dissoziiert von der Core-Struktur in der Prometaphase und erscheint an den Spindelpolen in der Telophase wieder. Dieses Verhalten korreliert mit dem Verhalten der mittleren Lage der Core-Struktur in der Mitose, was darauf hinweist, dass CP75 eine Komponente dieser Schicht sein könnte. Die FRAP-Experimente am Interphase- Centrosom zeigen, dass GFP-CP75 dort nicht mobil ist. Das deutet darauf hin, dass das Protein wichtige Funktionen im Strukturerhalt der centrosomalen Core- Struktur übernehmen könnte. Sowohl die C- als auch die N-terminale Domäne von CP75 enthalten centrosomale Targeting-Domäne. Als GFP-Fusionsproteine (GFP-CP75-N und -C) lokalisieren die beiden Fragmente am Centrosom in der Interphase. Während GFP-CP75-C in der Mitose am Centrosom verbleibt, verschwindet GFP-CP75-N in der Metaphase und kehrt erst in der späten Telophase zurück. GFP-CP75-C und GFP-CP75O/E kolokalisieren mit F-Aktin am Zellcortex, zeigen aber keine Interaktion mit Aktin mit der BioID-Methode. Die N-terminale Domäne von CP75 enthält eine potentielle Plk1- Phosphorylierungssequenz. Die Überexpression der nichtphosphorylierbaren Punktmutante (GFP-CP75-Plk-S143A) ruft verschiedene Phänotypen wie verlängerte oder überzählige Centrosomen, vergrößerte Zellkerne und Anreicherung von detyrosinierten Mikrotubuli hervor. Die ähnlichen Phänotypen konnten auch bei GFP-CP75-N und CP75-RNAi beobachtet werden. Der
Phänotyp der detyrosinierten Mikrotubuli bringt erstmals den Beweis dafür, dass I
in Dictyostelium posttranslationale Modifikation an Tubulinen stattfindet. Außerdem zeigten CP75-RNAi-Zellen Defekte in der Organisation der mitotischen Spindel. Mittels BioID-Methode konnten drei potentielle Interaktionspartner von CP75 identifiziert werden. Diese drei Proteine CP39, CP91 und Cep192 sind ebenfalls Bestandteile des Centrosoms.
Light-triggered release of bioactive compounds from HA/PLL multilayer films for stimulation of cells
(2016)
The concept of targeting cells and tissues by controlled delivery of molecules is essential in the field of biomedicine. The layer-by-layer (LbL) technology for the fabrication of polymer multilayer films is widely implemented as a powerful tool to assemble tailor-made materials for controlled drug delivery. The LbL films can as well be engineered to act as mimics of the natural cellular microenvironment. Thus, due to the myriad possibilities such as controlled cellular adhesion and drug delivery offered by LbL films, it becomes easily achievable to direct the fate of cells by growing them on the films.
The aim of this work was to develop an approach for non-invasive and precise control of the presentation of bioactive molecules to cells. The strategy is based on employment of the LbL films, which function as support for cells and at the same time as reservoirs for bioactive molecules to be released in a controlled manner. UV light is used to trigger the release of the stored ATP with high spatio-temporal resolution. Both physico-chemical (competitive intermolecular interactions in the film) and biological aspects (cellular response and viability) are addressed in this study.
Biopolymers hyaluronic acid (HA) and poly-L-lysine (PLL) were chosen as the building blocks for the LbL film assembly. Poor cellular adhesion to native HA/PLL films as well as significant degradation by cells within a few days were shown. However, coating the films with gold nanoparticles not only improved cellular adhesion and protected the films from degradation, but also formed a size-exclusion barrier with adjustable cut-off in the size range of a few tens of kDa.
The films were shown to have high reservoir capacity for small charged molecules (reaching mM levels in the film). Furthermore, they were able to release the stored molecules in a sustained manner. The loading and release are explained by a mechanism based on interactions between charges of the stored molecules and uncompensated charges of the biopolymers in the film. Charge balance and polymer dynamics in the film play the pivotal role.
Finally, the concept of light-triggered release from the films has been proven using caged ATP loaded into the films from which ATP was released on demand. ATP induces a fast cellular response, i.e. increase in intracellular [Ca2+], which was monitored in real-time. Limitations of the cellular stimulation by the proposed approach are highlighted by studying the stimulation as a function of irradiation parameters (time, distance, light power). Moreover, caging molecules bind to the film stronger than ATP does, which opens new perspectives for the use of the most diverse chemical compounds as caging molecules.
Employment of HA/PLL films as a nouvelle support for cellular growth and hosting of bioactive molecules, along with the possibility to stimulate individual cells using focused light renders this approach highly efficient and unique in terms of precision and spatio-temporal resolution among those previously described. With its high potential, the concept presented herein provides the foundation for the design of new intelligent materials for single cell studies, with the focus on tissue engineering, diagnostics, and other cell-based applications.
Molekulare Charakterisierung des Centrosom-assoziierten Proteins CP91 in Dictyostelium discoideum
(2016)
Das Dictyostelium-Centrosom ist ein Modell für acentrioläre Centrosomen. Es besteht aus einer dreischichtigen Kernstruktur und ist von einer Corona umgeben, welche Nukleationskomplexe für Mikrotubuli beinhaltet. Die Verdoppelung der Kernstruktur wird einmal pro Zellzyklus am Übergang der G2 zur M-Phase gestartet. Durch eine Proteomanalyse isolierter Centrosomen konnte CP91 identifiziert werden, ein 91 kDa großes Coiled-Coil Protein, das in der centrosomalen Kernstruktur lokalisiert. GFP-CP91 zeigte fast keine Mobilität in FRAP-Experimenten während der Interphase, was darauf hindeutet, dass es sich bei CP91 um eine Strukturkomponente des Centrosoms handelt. In der Mitose hingegen dissoziieren das GFP-CP91 als auch das endogene CP91 ab und fehlen an den Spindelpolen von der späten Prophase bis zur Anaphase. Dieses Verhalten korreliert mit dem Verschwinden der zentralen Schicht der Kernstruktur zu Beginn der Centrosomenverdopplung. Somit ist CP91 mit großer Wahrscheinlichkeit ein Bestandteil dieser Schicht. CP91-Fragmente der N-terminalen bzw. C-terminalen Domäne (GFP-CP91 N-Terminus, GFP-CP91 C-Terminus) lokalisieren als GFP-Fusionsproteine exprimiert auch am Centrosom, zeigen aber nicht die gleiche mitotische Verteilung des Volllängenproteins. Das CP91-Fragment der zentralen Coiled-Coil Domäne (GFP-CP91cc) lokalisiert als GFP-Fusionsprotein exprimiert, als ein diffuser cytosolische Cluster, in der Nähe des Centrosoms. Es zeigt eine partiell ähnliche mitotische Verteilung wie das Volllängenprotein. Dies lässt eine regulatorische Domäne innerhalb der Coiled-Coil Domäne vermuten. Die Expression der GFP-Fusionsproteine unterdrückt die Expression des endogenen CP91 und bringt überzählige Centrosomen hervor. Dies war auch eine markante Eigenschaft nach der Unterexpression von CP91 durch RNAi. Zusätzlich zeigte sich in CP91-RNAi Zellen eine stark erhöhte Ploidie verursacht durch schwere Defekte in der Chromosomensegregation verbunden mit einer erhöhten Zellgröße und Defekten im Abschnürungsprozess während der Cytokinese. Die Unterexpression von CP91 durch RNAi hatte auch einen direkten Einfluss auf die Menge an den centrosomalen Proteinen CP39, CP55 und CEP192 und dem Centromerprotein Cenp68 in der Interphase. Die Ergebnisse deuten darauf hin, dass CP91 eine zentrale centrosomale Kernkomponente ist und für den Zusammenhalt der beiden äußeren Schichten der Kernstruktur benötigt wird. Zudem spielt CP91 eine wichtige Rolle für eine ordnungsgemäße Centrosomenbiogenese und, unabhängig davon, bei dem Abschnürungsprozess der Tochterzellen während der Cytokinese.
Background:
Skewed body size distributions and the high relative richness of small-bodied taxa are a fundamental
property of a wide range of animal clades. The evolutionary processes responsible for generating these distributions
are well described in vertebrate model systems but have yet to be explored in detail for other major terrestrial
clades. In this study, we explore the macro-evolutionary patterns of body size variation across families of Hexapoda
(insects and their close relatives), using recent advances in phylogenetic understanding, with an aim to investigate
the link between size and diversity within this ancient and highly diverse lineage.
Results:
The maximum, minimum and mean-log body lengths of hexapod families are all approximately log-normally
distributed, consistent with previous studies at lower taxonomic levels, and contrasting with skewed distributions
typical of vertebrate groups. After taking phylogeny and within-tip variation into account, we find no evidence for a
negative relationship between diversification rate and body size, suggesting decoupling of the forces controlling these
two traits. Likelihood-based modeling of the log-mean body size identifies distinct processes operating within
Holometabola and Diptera compared with other hexapod groups, consistent with accelerating rates of size evolution
within these clades, while as a whole, hexapod body size evolution is found to be dominated by neutral processes
including significant phylogenetic conservatism.
Conclusions:
Based on our findings we suggest that the use of models derived from well-studied but atypical clades,
such as vertebrates may lead to misleading conclusions when applied to other major terrestrial lineages. Our results
indicate that within hexapods, and within the limits of current systematic and phylogenetic knowledge, insect
diversification is generally unfettered by size-biased macro-evolutionary processes, and that these processes over large
timescales tend to converge on apparently neutral evolutionary processes. We also identify limitations on available
data within the clade and modeling approaches for the resolution of trees of higher taxa, the resolution of which may
collectively enhance our understanding of this key component of terrestrial ecosystems.
Background
Antiphospholipid antibodies (aPL) can be detected in asymptomatic carriers and infectious patients. The aim was to investigate whether a novel line immunoassay (LIA) differentiates between antiphospholipid syndrome (APS) and asymptomatic aPL+ carriers or patients with infectious diseases (infectious diseases controls (IDC)).
Methods
Sixty-one patients with APS (56 primary, 22/56 with obstetric events only, and 5 secondary), 146 controls including 24 aPL+ asymptomatic carriers and 73 IDC were tested on a novel hydrophobic solid phase coated with cardiolipin (CL), phosphatic acid, phosphatidylcholine, phosphatidylethanolamine, phosphatidylglycerol, phosphatidylinositol, phosphatidylserine, beta2-glycoprotein I (β2GPI), prothrombin, and annexin V. Samples were also tested by anti-CL and anti-β2GPI ELISAs and for lupus anticoagulant activity. Human monoclonal antibodies (humoAbs) against human β2GPI or PL alone were tested on the same LIA substrates in the absence or presence of human serum, purified human β2GPI or after CL-micelle absorption.
Results
Comparison of LIA with the aPL-classification assays revealed good agreement for IgG/IgM aß2GPI and aCL. Anti-CL and anti-ß2GPI IgG/IgM reactivity assessed by LIA was significantly higher in patients with APS versus healthy controls and IDCs, as detected by ELISA. IgG binding to CL and ß2GPI in the LIA was significantly lower in aPL+ carriers and Venereal Disease Research Laboratory test (VDRL) + samples than in patients with APS. HumoAb against domain 1 recognized β2GPI bound to the LIA-matrix and in anionic phospholipid (PL) complexes. Absorption with CL micelles abolished the reactivity of a PL-specific humoAb but did not affect the binding of anti-β2GPI humoAbs.
Conclusions
The LIA and ELISA have good agreement in detecting aPL in APS, but the LIA differentiates patients with APS from infectious patients and asymptomatic carriers, likely through the exposure of domain 1.