Refine
Has Fulltext
- yes (84)
Is part of the Bibliography
- yes (84)
Year of publication
- 2019 (84) (remove)
Document Type
- Journal article (68)
- Doctoral Thesis (15)
- Preprint (1)
Language
- English (84) (remove)
Keywords
- apoptosis (4)
- infection (3)
- leukemic cells (3)
- p53 (3)
- 3D tissue model (2)
- B-MYB (2)
- Bees (2)
- Chronobiologie (2)
- Drosophila melanogaster (2)
- HeLa cells (2)
- Melanoma (2)
- Taufliege (2)
- cytotoxicity (2)
- dSTORM (2)
- genome annotation (2)
- metagenomics (2)
- optimal drug combination (2)
- sphingolipids (2)
- wound healing (2)
- (classical and atypical) Werner syndrome (1)
- ABP1 (1)
- AUX1 (1)
- Accurate (1)
- Acids (1)
- Alpine habitats (1)
- Aminerge Nervenzelle (1)
- Annotation (1)
- Anthropocene (1)
- Antigen CD19 (1)
- Apidae (1)
- Apis mellifera (1)
- Aspergillus fumigalus (1)
- Barrier (1)
- Behavioural ecology (1)
- Berberine (1)
- Bioinformatik (1)
- C-60 fullerene (1)
- C60 fullerene (1)
- CD274 (1)
- CIDP (1)
- C\(_{60}\) fullerene (1)
- Cancer (1)
- Cancer Cell (1)
- Cataglyphis (1)
- Cell stainin (1)
- Central nervous system (1)
- Chemical composition (1)
- Chlamydia trachomatis (1)
- Circular dichroism (1)
- Click Chemie (1)
- CoQ10 (1)
- Colonization (1)
- Computational and Systems Biology (1)
- Computer modelling (1)
- Confocal microscopy (1)
- Conifers (1)
- Conservation (1)
- CpG (1)
- Cushing’s disease (1)
- Cytosol (1)
- DLS and AFM measurements (1)
- DNA damage (1)
- Dopamine (1)
- Doxorubicin (1)
- Dynamics (1)
- E8 symmetry (1)
- ERK signaling (1)
- Ecology (1)
- Einzelmolekülmikroskopie (1)
- Embryonic induction (1)
- Endogene Rhythmik (1)
- Environmental impact (1)
- Evolutionary developmental biology (1)
- Evolutionary emergence (1)
- Extracellular matrix (1)
- Fgf-signalling (1)
- Flowering plants (1)
- Flowers (1)
- Fluorescence spectroscopy (1)
- Fluoreszenzmikroskopie (1)
- Forests (1)
- GABA (1)
- GABAA receptors (1)
- GAD1 (1)
- Gene expression analysis (1)
- Genome (1)
- Genomics (1)
- Germline (1)
- Gliazelle (1)
- Glykane (1)
- Haut (1)
- Health (1)
- Herzmuskelzelle (1)
- Hochauflösende Fluoreszenzmikroskopie (1)
- Honey bees (1)
- Host-parasite interaction (1)
- Hurwitz theorem (1)
- Hypothalamus (1)
- Immunoprecipitation (1)
- Immuntherapie (1)
- In vitro (1)
- Inhibitor (1)
- Insect flight (1)
- Invertebrate herbivory (1)
- JAK2 (1)
- K-RAS (1)
- Laparoscopy (1)
- Leaf traits (1)
- Learning and memory (1)
- Learning walk (1)
- Lee Smolin (1)
- Limb development (1)
- Llullaillaco Volcano (1)
- Lungenkrebs (1)
- Lymph nodes (1)
- M14 carboxypeptidasses (1)
- MMB (1)
- Maculinea butterfly (1)
- Mc4r (1)
- Melanom (1)
- Methylation (1)
- Microbiology and Infectious Disease (1)
- Minimally invasive surgery (1)
- Mitochondria (1)
- Mitose (1)
- Modell (1)
- Molekülsystem (1)
- Myb-MuvB (1)
- Myrmica ant non-equilibrium dynamics (1)
- Neisseria gonorrhoeae (1)
- Neisseria meningitidis (1)
- Neural circuits (1)
- Neuroanatomie (1)
- Nicht-kleinzelliges Bronchialkarzinom (1)
- Non-coding RNA (1)
- Oncology (1)
- Outer membrane proteins (1)
- PD-L1 (1)
- PDF neurons (1)
- PTEN (1)
- Patterns and drivers of invertebrate herbivory (1)
- Patterns and drivers of species diversity of phytophagous beetles (1)
- Patterns and drivers of species richness and community biomass of large mammals (1)
- Phenols (1)
- Pigmentdispergierender Faktor (1)
- Plants (1)
- Plasmamembranorganisation (1)
- Polysaccharide (1)
- Poplars (1)
- Protein folding (1)
- Protein kinase D3 (PKD3) (1)
- Proteomics Analysis of Complexes (1)
- Proteotype (1)
- Proteus vulgaris (1)
- Quantifizierung (1)
- Quantitative Mikroskopie (1)
- R package (1)
- RNA metabolism (1)
- RNA-seq (1)
- RNA-seq transcriptome (1)
- RNAi (1)
- Reiz (1)
- Research Article (1)
- SSR42 (1)
- Scarabaeidae (1)
- Self-renewal (1)
- Serotonin (1)
- Sex chromosome (1)
- Sex determination (1)
- Sexual development and function (1)
- Small interfering RNAs (1)
- Solid tumors (1)
- Solution-state NMR (1)
- Species delimitation (1)
- Species richness (1)
- Stammzelle (1)
- Staphylococcus aureus (1)
- Stoffwechsel (1)
- Strains (1)
- Subtercola vilae (1)
- Surgical and invasive medical procedures (1)
- Surgical oncology (1)
- TNNI3 (1)
- TP53 (1)
- Tagesrhythmus (1)
- Transcription (1)
- Transcriptomic (1)
- Translation (1)
- Transposable element (1)
- Trees (1)
- Tumor (1)
- UV–Vis (1)
- Ustilago maydis (1)
- V-ATPase (1)
- Wundheilung (1)
- YAP (1)
- abdominal surgery (1)
- accessory medulla (1)
- accumulation (1)
- acetate (1)
- alternative splicing (1)
- altitudinal gradients (1)
- aminergic neurons (1)
- anti-contactin-1 (1)
- artifacts (1)
- autoantibody (1)
- autophagy (1)
- auxin (1)
- behavioral plasticity (1)
- bioinformatics tool (1)
- biomarker signature (1)
- biotic interaction (1)
- bisulfite pyrosequencing (1)
- bladder (1)
- boolean modeling (1)
- brain (1)
- brain development (1)
- brain disorders (1)
- burnt-wood (1)
- cancer (1)
- cancer therapy (1)
- carabid beetles (1)
- cardiolipin (1)
- cardiomyocytes (1)
- cardiomyopathy (1)
- catheterization (1)
- catheters (1)
- cell migration (1)
- ceramide (1)
- chlamydia (1)
- cholesterol (1)
- circRNA (1)
- circadian clock (1)
- circadian rhythms (1)
- circular transcriptome sequencing (1)
- cisplatin (1)
- click chemistry (1)
- co-culture (1)
- cold adaptation (1)
- collybistin (1)
- colorectal cancer (1)
- comparative genomics (1)
- competition (1)
- complement deposition (1)
- conservation (1)
- cosmology (1)
- crystal growth (1)
- crystallization (1)
- dead-wood enrichment (1)
- dendritic cell (1)
- dendritic cells (1)
- deubiquitinases (1)
- developmental forms (1)
- diacylglycerol (DAG) (1)
- dimeric peptide (1)
- direct muss spectrometric profiling (1)
- disease modelling (1)
- diversity gradients (1)
- domain-specific language (1)
- doxorubicin (1)
- drivers and patterns of diversity and herbivory (1)
- drug release (1)
- ecology (1)
- ecosystem service (1)
- efficient intervention points (1)
- elementary body (1)
- endocytosis (1)
- enercy-richness hypothesis (1)
- energy homeostasis (1)
- enhancer (1)
- epidural block (1)
- eugenol (1)
- evolution (1)
- expansion microscopy (1)
- external stimuli (1)
- extinction dynamics (1)
- fertility (1)
- fission (1)
- fluorescent probes (1)
- fluxosome (1)
- food resources (1)
- foraging patterns (1)
- forest fire (1)
- forest management (1)
- friut fly behaviour (1)
- functional analysis (1)
- fungal rhodopsins (1)
- gangliosides and lipid rafts (1)
- gastrointestinal tract (1)
- gene expression analysis (1)
- genetics (1)
- genome analysis (1)
- genome assembly (1)
- gephyrin (1)
- glia cells (1)
- glioblastoma multiforme (1)
- global change (1)
- glucose transporter (1)
- ground-dwelling predators (1)
- growth (1)
- heuristics (1)
- histone H2AX (1)
- honeybee (1)
- honeybees (1)
- human xenografted mouse models (1)
- imaging (1)
- immunocompetent skin (1)
- indole-3-acetic acid (1)
- infection biology (1)
- inflation (1)
- insect abundance (1)
- insect collection (1)
- integrative management strategy (1)
- intervention point analyzing (1)
- intracellular bacterial pathogens (1)
- irradiation (1)
- knockout (1)
- land sharing (1)
- land use (1)
- lipid metabolism (1)
- liver (1)
- localization microscopy (1)
- lowland beech forests (1)
- lung cancer (1)
- lysosome (1)
- mRNA (1)
- mTOR (1)
- machine learning (1)
- macrophages (1)
- mating preference (1)
- measles virus (1)
- mechanistic modelling (1)
- medaka (1)
- meta-analysis (1)
- metabolic adaptation (1)
- metabolic flux (1)
- metabolic modeling (1)
- metabolic modelling (1)
- metabolism (1)
- metabolism of infected and uninfected host cells (1)
- metabolite profiling (1)
- methods (1)
- methylation array (1)
- microbial rhodopsins (1)
- microbiome (1)
- migration (1)
- mitochondria (1)
- mitochondrial genome (1)
- mitotic genes (1)
- molecular biology (1)
- mutants (1)
- nanocomplex (1)
- native populations (1)
- natural pest control (1)
- nervous system (1)
- nest microbiota (1)
- neuronal (1)
- next generation sequencing (1)
- next-generation sequencing (1)
- noncovalent complex (1)
- noncovalent nanocomplex (1)
- nuclear envelope (1)
- nuclear export (1)
- oncolytic virus (1)
- optimal drug targeting (1)
- optimal pharmacological modulation (1)
- optimal treatment strategies (1)
- paranodopathy (1)
- passive transfer (1)
- patch-clamp (1)
- pathogenesis (1)
- pathogenic bacteria (1)
- pediatrics (1)
- peptide inhibitor design (1)
- peptidomoics (1)
- photodynamic chemotherapy (1)
- piRNA (1)
- plant–microbe–pollinator triangle (1)
- plasma membrane depolarization (1)
- plasma membrane organization (1)
- pollination (1)
- pollination network (1)
- population genetics (1)
- post-fire management (1)
- premature aging (1)
- protected forests (1)
- protein processing (1)
- protein-protein interaction (PPI) (1)
- psychiatric disorders (1)
- puberty (1)
- radiation (1)
- radiation sensitivity (1)
- rectum (1)
- reprogamming of host cell metabolism (1)
- resonance theory (1)
- reticulate body (1)
- rheumatoid arthritis (1)
- saproxylic organisms (1)
- sarcomere (1)
- secreted effectors (1)
- segmental progeria (1)
- sentinel prey (1)
- signalling (1)
- single cell anatomy (1)
- single-molecule tracking (1)
- skin model (1)
- sleep (1)
- small intestinal submucosa scaffold (1)
- soil fauna (1)
- solitary bees (1)
- somatic mutations (1)
- species richness (1)
- species‐area hypothesis (1)
- sphingosine-1-phosphate (1)
- sporidia (1)
- structured illumination microscopy (1)
- super resolution microscopy (1)
- super-resolution fluorescence microscopy (1)
- super-resolution microscopy (1)
- superresolution (1)
- surgical and invasive medical procedures (1)
- survival analysis (1)
- synapses (1)
- synergistic effect (1)
- systematic affiliation (1)
- systematic drug targeting (1)
- temperature‐mediated resource exploitation hypothesis (1)
- temperature‐richness hypothesis (1)
- time lag (1)
- topminnow (1)
- transcription (1)
- transcription deficiency (1)
- transcriptome (1)
- transient dynamics (1)
- transposable elements (1)
- tree cavities (1)
- trypanosomes (1)
- unmanaged broadleaved forests (1)
- uptake (1)
- urinary tract infections (1)
- vessel wall resident stem cells (1)
- virus (1)
- viruses (1)
- whole-genome sequencing (1)
- wild bees (1)
Institute
- Theodor-Boveri-Institut für Biowissenschaften (84) (remove)
Understanding extinction debts: spatio-temporal scales, mechanisms and a roadmap for future research
(2019)
Extinction debt refers to delayed species extinctions expected as a consequence of ecosystem perturbation. Quantifying such extinctions and investigating long‐term consequences of perturbations has proven challenging, because perturbations are not isolated and occur across various spatial and temporal scales, from local habitat losses to global warming. Additionally, the relative importance of eco‐evolutionary processes varies across scales, because levels of ecological organization, i.e. individuals, (meta)populations and (meta)communities, respond hierarchically to perturbations. To summarize our current knowledge of the scales and mechanisms influencing extinction debts, we reviewed recent empirical, theoretical and methodological studies addressing either the spatio–temporal scales of extinction debts or the eco‐evolutionary mechanisms delaying extinctions. Extinction debts were detected across a range of ecosystems and taxonomic groups, with estimates ranging from 9 to 90% of current species richness. The duration over which debts have been sustained varies from 5 to 570 yr, and projections of the total period required to settle a debt can extend to 1000 yr. Reported causes of delayed extinctions are 1) life‐history traits that prolong individual survival, and 2) population and metapopulation dynamics that maintain populations under deteriorated conditions. Other potential factors that may extend survival time such as microevolutionary dynamics, or delayed extinctions of interaction partners, have rarely been analyzed. Therefore, we propose a roadmap for future research with three key avenues: 1) the microevolutionary dynamics of extinction processes, 2) the disjunctive loss of interacting species and 3) the impact of multiple regimes of perturbation on the payment of debts. For their ability to integrate processes occurring at different levels of ecological organization, we highlight mechanistic simulation models as tools to address these knowledge gaps and to deepen our understanding of extinction dynamics.
C60 fullerene as an effective nanoplatform of alkaloid Berberine delivery into leukemic cells
(2019)
A herbal alkaloid Berberine (Ber), used for centuries in Ayurvedic, Chinese, Middle-Eastern, and native American folk medicines, is nowadays proved to function as a safe anticancer agent. Yet, its poor water solubility, stability, and bioavailability hinder clinical application. In this study, we have explored a nanosized carbon nanoparticle—C60 fullerene (C60)—for optimized Ber delivery into leukemic cells. Water dispersions of noncovalent C60-Ber nanocomplexes in the 1:2, 1:1, and 2:1 molar ratios were prepared. UV–Vis spectroscopy, dynamic light scattering (DLS), and atomic force microscopy (AFM) evidenced a complexation of the Ber cation with the negatively charged C60 molecule. The computer simulation showed that π-stacking dominates in Ber and C\(_{60}\) binding in an aqueous solution. Complexation with C\(_{60}\) was found to promote Ber intracellular uptake. By increasing C\(_{60}\) concentration, the C\(_{60}\)-Ber nanocomplexes exhibited higher antiproliferative potential towards CCRF-CEM cells, in accordance with the following order: free Ber < 1:2 < 1:1 < 2:1 (the most toxic). The activation of caspase 3/7 and accumulation in the sub-G1 phase of CCRF-CEM cells treated with C\(_{60}\)-Ber nanocomplexes evidenced apoptosis induction. Thus, this study indicates that the fast and easy noncovalent complexation of alkaloid Ber with C\(_{60}\) improved its in vitro efficiency against cancer cells.
Cosmology often uses intricate formulas and mathematics to derive new theories and concepts. We do something different in this paper: We look at biological processes and derive from these heuristics so that the revised cosmology agrees with astronomical observations but does also agree with standard biological observations. We show that we then have to replace any type of singularity at the start of the universe by a condensation nucleus and that the very early period of the universe usually assumed to be inflation has to be replaced by a period of rapid crystal growth as in Weiss magnetization domains.
Impressively, these minor modifications agree well with astronomical observations including removing the strong inflation perturbations which were never observed in the recent BICEP2 experiments. Furthermore, looking at biological principles suggests that such a new theory with a condensation nucleus at start and a first rapid phase of magnetization-like growth of the ordered, physical laws obeying lattice we live in is in fact the only convincing theory of the early phases of our universe that also is compatible with current observations.
We show in detail in the following that such a process of crystal creation, breaking of new crystal seeds and ultimate evaporation of the present crystal readily leads over several generations to an evolution and selection of better, more stable and more self-organizing crystals. Moreover, this explains the “fine-tuning” question why our universe is fine-tuned to favor life: Our Universe is so self-organizing to have enough offspring and the detailed physics involved is at the same time highly favorable for all self-organizing processes including life.
This biological theory contrasts with current standard inflation cosmologies. The latter do not perform well in explaining any phenomena of sophisticated structure creation or self-organization. As proteins can only thermodynamically fold by increasing the entropy in the solution around them we suggest for cosmology a condensation nucleus for a universe can form only in a “chaotic ocean” of string-soup or quantum foam if the entropy outside of the nucleus rapidly increases. We derive an interaction potential for 1 to n-dimensional strings or quantum-foams and show that they allow only 1D, 2D, 4D or octonion interactions. The latter is the richest structure and agrees to the E8 symmetry fundamental to particle physics and also compatible with the ten dimensional string theory E8 which is part of the M-theory. Interestingly, any other interactions of other dimensionality can be ruled out using Hurwitz compositional theorem. Crystallization explains also extremely well why we have only one macroscopic reality and where the worldlines of alternative trajectories exist: They are in other planes of the crystal and for energy reasons they crystallize mostly at the same time, yielding a beautiful and stable crystal. This explains decoherence and allows to determine the size of Planck´s quantum h (very small as separation of crystal layers by energy is extremely strong).
Ultimate dissolution of real crystals suggests an explanation for dark energy agreeing with estimates for the “big rip”. The halo distribution of dark matter favoring galaxy formation is readily explained by a crystal seed starting with unit cells made of normal and dark matter.
That we have only matter and not antimatter can be explained as there may be right handed mattercrystals and left-handed antimatter crystals. Similarly, real crystals are never perfect and we argue that exactly such irregularities allow formation of galaxies, clusters and superclusters. Finally, heuristics from genetics suggest to look for a systems perspective to derive correct vacuum and Higgs Boson energies.
Life on earth adapted to the daily reoccurring changes in environment by evolving an endogenous circadian clock. Although the circadian clock has a crucial impact on survival and behavior of solitary bees, many aspects of solitary bee clock mechanisms remain unknown. Our study is the first to show that the circadian clock governs emergence in Osmia bicornis, a bee species which overwinters as adult inside its cocoon. Therefore, its eclosion from the pupal case is separated by an interjacent diapause from its emergence in spring. We show that this bee species synchronizes its emergence to the morning. The daily rhythms of emergence are triggered by temperature cycles but not by light cycles. In contrast to this, the bee’s daily rhythms in locomotion are synchronized by light cycles. Thus, we show that the circadian clock of O. bicornis is set by either temperature or light, depending on what activity is timed. Light is a valuable cue for setting the circadian clock when bees have left the nest. However, for pre-emerged bees, temperature is the most important cue, which may represent an evolutionary adaptation of the circadian system to the cavity-nesting life style of O. bicornis.
Werner Syndrome (WS) is an adult‐onset segmental progeroid syndrome. Bisulfite pyrosequencing of repetitive DNA families revealed comparable blood DNA methylation levels between classical (18 WRN‐mutant) or atypical WS (3 LMNA‐mutant and 3 POLD1‐mutant) patients and age‐ and sex‐matched controls. WS was not associated with either age‐related accelerated global losses of ALU, LINE1, and α‐satellite DNA methylations or gains of rDNA methylation. Single CpG methylation was analyzed with Infinium MethylationEPIC arrays. In a correspondence analysis, atypical WS samples clustered together with the controls and were clearly separated from classical WS, consistent with distinct epigenetic pathologies. In classical WS, we identified 659 differentially methylated regions (DMRs) comprising 3,656 CpG sites and 613 RefSeq genes. The top DMR was located in the HOXA4 promoter. Additional DMR genes included LMNA, POLD1, and 132 genes which have been reported to be differentially expressed in WRN‐mutant/depleted cells. DMRs were enriched in genes with molecular functions linked to transcription factor activity and sequence‐specific DNA binding to promoters transcribed by RNA polymerase II. We propose that transcriptional misregulation of downstream genes by the absence of WRN protein contributes to the variable premature aging phenotypes of WS. There were no CpG sites showing significant differences in DNA methylation changes with age between WS patients and controls. Genes with both WS‐ and age‐related methylation changes exhibited a constant offset of methylation between WRN‐mutant patients and controls across the entire analyzed age range. WS‐specific epigenetic signatures occur early in life and do not simply reflect an acceleration of normal epigenetic aging processes.
Since its first experimental implementation in 2005, single-molecule localization microscopy (SMLM) emerged as a versatile and powerful imaging tool for biological structures with nanometer resolution. By now, SMLM has compiled an extensive track-record of novel insights in sub- and inter- cellular organization.\\
Moreover, since all SMLM techniques rely on the analysis of emission patterns from isolated fluorophores, they inherently allocate molecular information $per$ $definitionem$.\\
Consequently, SMLM transitioned from its origin as pure high-resolution imaging instrument towards quantitative microscopy, where the key information medium is no longer the highly resolved image itself, but the raw localization data set.\\
The work presented in this thesis is part of the ongoing effort to translate those $per$ $se$ molecular information gained by SMLM imaging to insights into the structural organization of the targeted protein or even beyond. Although largely consistent in their objectives, the general distinction between global or segmentation clustering approaches on one side and particle averaging or meta-analyses techniques on the other is usually made.\\
During the course of my thesis, I designed, implemented and employed numerous quantitative approaches with varying degrees of complexity and fields of application.\\ \\
In my first major project, I analyzed the localization distribution of the integral protein gp210 of the nuclear pore complex (NPC) with an iterative \textit{k}-means algorithm. Relating the distinct localization statistics of separated gp210 domains to isolated fluorescent signals led, among others, to the conclusion that the anchoring ring of the NPC consists of 8 homo-dimers of gp210.\\
This is of particular significance, both because it answered a decades long standing question about the nature of the gp210 ring and it showcased the possibility to gain structural information well beyond the resolution capabilities of SMLM by crafty quantification approaches.\\ \\
The second major project reported comprises an extensive study of the synaptonemal complex (SNC) and linked cohesin complexes. Here, I employed a multi-level meta-analysis of the localization sets of various SNC proteins to facilitate the compilation of a novel model of the molecular organization of the major SNC components with so far unmatched extend and detail with isotropic three-dimensional resolution.\\
In a second venture, the two murine cohesin components SMC3 and STAG3 connected to the SNC were analyzed. Applying an adapted algorithm, considering the disperse nature of cohesins, led to the realization that there is an apparent polarization of those cohesin complexes in the SNC, as well as a possible sub-structure of STAG3 beyond the resolution capabilities of SMLM.\\ \\
Other minor projects connected to localization quantification included the study of plasma membrane glycans regarding their overall localization distribution and particular homogeneity as well as the investigation of two flotillin proteins in the membrane of bacteria, forming clusters of distinct shapes and sizes.\\ \\
Finally, a novel approach to three-dimensional SMLM is presented, employing the precise quantification of single molecule emitter intensities. This method, named TRABI, relies on the principles of aperture photometry which were improved for SMLM.\\
With TRABI it was shown, that widely used Gaussian fitting based localization software underestimates photon counts significantly. This mismatch was utilized as a $z$-dependent parameter, enabling the conversion of 2D SMLM data to a virtual 3D space. Furthermore it was demonstrated, that TRABI can be combined beneficially with a multi-plane detection scheme, resulting in superior performance regarding axial localization precision and resolution.\\
Additionally, TRABI has been subsequently employed to photometrically characterize a novel dye for SMLM, revealing superior photo-physical properties at the single-molecule level.\\
Following the conclusion of this thesis, the TRABI method and its applications remains subject of diverse ongoing research.
Viral infections induce a significant impact on various functional categories of biological processes in the host. The understanding of this complex modification of the infected host immune system requires a global and detailed overview on the infection process. Therefore it is essential to apply a powerful approach which identifies the involved components conferring the capacity to recognize and respond to specific pathogens, which in general are defeated in so-called compatible virus-plant infections. Comparative and integrated systems biology of plant-virus interaction progression may open a novel framework for a systemic picture on the modulation of plant immunity during different infections and understanding pathogenesis mechanisms. In this thesis these approaches were applied to study plant-virus infections during two main viral pathogens of cassava: Cassava brown streak virus and African cassava mosaic virus.
Here, the infection process was reconstructed by a combination of omics data-based analyses and metabolic network modelling, to understand the major metabolic pathways and elements underlying viral infection responses in different time series, as well as the flux activity distribution to gain more insights into the metabolic flow and mechanism of regulation; this resulted in simultaneous investigations on a broad spectrum of changes in several levels including the gene expression, primary metabolites, and enzymatic flux associated with the characteristic disease development process induced in Nicotiana benthamiana plants due to infection with CBSV or ACMV.
Firstly, the transcriptome dynamics of the infected plant was analysed by using mRNA-sequencing, in order to investigate the differential expression profile according the symptom developmental stage. The spreading pattern and different levels of biological functions of these genes were analysed associated with the infection stage and virus entity. A next step was the Real-Time expression modification of selected key pathway genes followed by their linear regression model. Subsequently, the functional loss of regulatory genes which trigger R-mediated resistance was observed. Substantial differences were observed between infected mutants/transgenic lines and wild-types and characterized in detail. In addition, we detected a massive localized accumulation of ROS and quantified the scavenging genes expression in the infected wild-type plants relative to mock infected controls.
Moreover, we found coordinated regulated metabolites in response to viral infection measured by using LC-MS/MS and HPLC-UV-MS. This includes the profile of the phytohormones, carbohydrates, amino acids, and phenolics at different time points of infection with the RNA and DNA viruses. This was influenced by differentially regulated enzymatic activities along the salicylate, jasmonate, and chorismate biosynthesis, glycolysis, tricarboxylic acid cycle, and pentose phosphate pathways, as well as photosynthesis, photorespiration, transporting, amino acid and fatty acid biosynthesis. We calculated the flux redistribution considering a gradient of modulation for enzymes along different infection stages, ranging from pre-symptoms towards infection stability.
Collectively, our reverse-engineering study consisting of the generation of experimental data and modelling supports the general insight with comparative and integrated systems biology into a model plant-virus interaction system. We refine the cross talk between transcriptome modification, metabolites modulation and enzymatic flux redistribution during compatible infection progression. The results highlight the global alteration in a susceptible host, correlation between symptoms severity and the alteration level. In addition we identify the detailed corresponding general and specific responses to RNA and DNA viruses at different stages of infection. To sum up, all the findings in this study strengthen the necessity of considering the timing of treatment, which greatly affects plant defence against viral infection, and might result in more efficient or combined targeting of a wider range of plant pathogens.
The evolutionary conserved Myb-MuvB (MMB) multiprotein complex is a transcriptional master regulator of mitotic gene expression. The MMB subunits B-MYB, FOXM1 as well as target genes of MMB are often overexpressed in different cancer types. Elevated expression of these genes correlates with an advanced tumor state and a poor prognosis for patients. Furthermore, it has been reported that pathways, which are involved in regulating the mitotic machinery are attractive for a potential treatment of cancers harbouring Ras mutations (Luo et al., 2009).
This suggest that the MMB complex could be required for tumorigenesis by mediating overactivity of mitotic genes and that the MMB could be a useful target for lung cancer treatment. However, although MMB has been characterized biochemically, the contribution of MMB to tumorigenesis is largely unknown in particular in vivo.
In this thesis, it was demonstrated that the MMB complex is required for lung tumorigenesis in vivo in a mouse model of non small cell lung cancer. Elevated levels of B-MYB, NUSAP1 or CENPF in advanced tumors as opposed to low levels of these proteins levels in grade 1 or 2 tumors support the possible contribution of MMB to lung tumorigenesis and the oncogenic potential of B-MYB.The tumor growth promoting function of B-MYB was illustrated by a lower fraction of KI-67 positive cells in vivo and a significantly high impairment in proliferation after loss of B-Myb in vitro. Defects in cytokinesis and an abnormal cell cycle profile after loss of B-Myb underscore the impact of B-MYB on proliferation of lung cancer cell lines. The incomplete recombination of B-Myb in murine lung tumors and in the tumor derived primary cell lines illustrates the selection pressure against the complete loss of B-Myb and further demonstrats that B-Myb is a tumor-essential gene. In the last part of this thesis, the contribution of MMB to the proliferation of human lung cancer cells was demonstrated by the RNAi-mediated depletion of B-Myb. Detection of elevated B-MYB levels in human adenocarcinoma and a reduced proliferation, cytokinesis defects and abnormal cell cycle profile after loss of B-MYB in human lung cancer cell lines underlines the potential of B-MYB to serve as a clinical marker.
Staphylococcus aureus asymptomatically colonizes the skin and anterior nares of 20-30% of the healthy human population. As an opportunistic human pathogen it elicits a variety of infections ranging from skin and soft tissue infections to highly severe manifestations such as pneumonia, endocarditis and osteomyelitis. Due to the emergence of multi resistant strains, treatment of staphylococcal infections becomes more and more challenging and the WHO therefore classified S. aureus as a “superbug”. The variety of diseases triggered by S. aureus is the result of a versatile expression of a large set of virulence factors. The most prominent virulence factor is the cytotoxic and haemolytic pore-forming α-toxin whose expression is mediated by a complex regulatory network involving two-component systems such as the agr quorum-sensing system, accessory transcriptional regulators and alternative sigma-factors. However, the intricate regulatory network is not yet understood in its entirety. Recently, a transposon mutation screen identified the AraC-family transcriptional regulator ‘Repressor of surface proteins’ (Rsp) to regulate haemolysis, cytotoxicity and the expression of various virulence associated factors. Deletion of rsp was accompanied by a complete loss of transcription of a 1232 nt long non-coding RNA, SSR42.
This doctoral thesis focuses on the molecular and functional characterization of SSR42. By analysing the transcriptome and proteome of mutants in either SSR42 or both SSR42 and rsp, as well as by complementation of SSR42 in trans, the ncRNA was identified as the main effector of Rsp-mediated virulence. Mutants in SSR42 exhibited strong effects on transcriptional and translational level when compared to wild-type bacteria. These changes resulted in phenotypic alterations such as strongly reduced haemolytic activity and cytotoxicity towards epithelial cells as well as reduced virulence in a murine infection model. Deletion of SSR42 further promoted the formation of small colony variants (SCV) during long term infection of endothelial cells and demonstrated the importance of this molecule for intracellular bacteria. The impact of this ncRNA on staphylococcal haemolysis was revealed to be executed by modulation of sae mRNA stability and by applying mutational studies functional domains within SSR42 were identified.
Moreover, various stressors modulated the transcription of SSR42 and antibiotic challenge resulted in SSR42-dependently increased haemolysis and cytotoxicity. Transcription of SSR42 itself was found under control of various important global regulators including AgrA, SaeS, CodY and σB, thereby illustrating a central position in S. aureus virulence gene regulation.
The present study thus demonstrates SSR42 as a global virulence regulatory RNA which is important for haemolysis, disease progression and adaption of S. aureus to intracellular conditions via formation of SCVs.
The FDA approval of targeted therapy with BRAFV600E inhibitors like vemurafenib and dabrafenib in 2011 has been the first major breakthrough in the treatment of metastatic melanoma since almost three decades. Despite increased progression free survival and elevated overall survival rates, complete responses are scarce due to resistance development approximately six months after the initial drug treatment. It was previously shown in our group that melanoma cells under vemurafenib pressure in vitro and in vivo exhibit features of drug-induced senescence. It is known that some cell types, which undergo this cell cycle arrest, develop a so-called senescence associated secretome and it has been reported that melanoma cell lines also upregulate the expression of different factors after senescence induction. This work describes the effect of the vemurafenib-induced secretome on cells. Conditioned supernatants of vemurafenib-treated cells increased the viability of naive fibroblast and melanoma cell lines. RNA analysis of donor melanoma cells revealed elevated transcriptional levels of FGF1, MMP2 and CCL2 in the majority of tested cell lines under vemurafenib pressure, and I could confirm the secretion of functional proteins. Similar observations were also done after MEK inhibition as well as in a combined BRAF and MEK inhibitor treatment situation. Interestingly, the transcription of other FGF ligands (FGF7, FGF17) was also elevated after MEK/ERK1/2 inhibition. As FGF receptors are therapeutically relevant, I focused on the analysis of FGFR-dependent processes in response to BRAF inhibition. Recombinant FGF1 increased the survival rate of melanoma cells under vemurafenib pressure, while inhibition of the FGFR pathway diminished the viability of melanoma cells in combination with vemurafenib and blocked the stimulatory effect of vemurafenib conditioned medium. The BRAF inhibitor induced secretome is regulated by active PI3K/AKT signaling, and the joint inhibition of mTor and BRAFV600E led to decreased senescence induction and to a diminished induction of the secretome-associated genes. In parallel, combined inhibition of MEK and PI3K also drastically decreased mRNA levels of the relevant secretome components back to basal levels.
In summary, I could demonstrate that BRAF inhibitor treated melanoma cell lines acquire a specific PI3K/AKT dependent secretome, which is characterized by FGF1, CCL2 and MMP2. This secretome is able to stimulate other cells such as naive melanoma cells and fibroblasts and contributes to a better survival under drug pressure. These data are therapeutically highly relevant, as they imply the usage of novel drug combinations, especially specific FGFR inhibitors, with BRAF inhibitors in the clinic.
Myocardial infarction (MI) is a major cause of health problems and is among the leading deadly ending diseases. Accordingly, regenerating functional myocardial tissue and/or cardiac repair by stem cells is one of the most desired aims worldwide. Indeed, the human heart serves as an ideal target for regenerative intervention, because the capacity of the adult myocardium to restore itself after injury or infarct is limited. Thus, identifying new sources of tissue resident adult stem or progenitor cells with cardiovascular potential would help to establish more sophisticated therapies in order to either prevent cardiac failure or to achieve a functional repair. Ongoing research worldwide in this field is focusing on a) induced pluripotent stem (iPS) cells, b) embryonic stem (ES) cells and c) adult stem cells (e. g. mesenchymal stem cells) as well as cardiac fibroblasts or myofibroblasts. However, thus far, these efforts did not result in therapeutic strategies that were transferable into the clinical management of MI and heart failure. Hence, identifying endogenous and more cardiac-related sources of stem cells capable of differentiating into mature cardiomyocytes would open promising new therapeutic opportunities. The working hypothesis of this thesis is that the vascular wall serves as a niche for cardiogenic stem cells. In recent years, various groups have identified different types of progenitors or mesenchymal stem cell-like cells in the adventitia and sub-endothelial zone of the adult vessel wall, the so called vessel wall-resident stem cells (VW-SCs). Considering the fact that heart muscle tissue contains blood vessels in very high density, the physiological relevance of VW-SCs for the myocardium can as yet only be assumed. The aim of the present work is to study whether a subset of VW-SCs might have the capacity to differentiate into cardiomyocyte-like cells. This assumption was challenged using adult mouse aorta-derived cells cultivated in different media and treated with selected factors. The presented results reveal the generation of spontaneously beating cardiomyocyte-like cells using specific media conditions without any genetic manipulation. The cells reproducibly started beating at culture days 8-10. Further analyses revealed that in contrast to several publications reporting the Sca-1+ cells as cardiac progenitors the Sca-1- fraction of aortic wall-derived VW-SCs reproducibly delivered beating cells in culture. Similar to mature cardiomyocytes the beating cells developed sarcomeric structures indicated by the typical cross striated staining pattern upon immunofluorescence analysis detecting α-sarcomeric actinin (α-SRA) and electron microscopic analysis. These analyses also showed the formation of sarcoplasmic reticulum which serves as calcium store. Correspondingly, the aortic wall-derived beating cardiomyocyte-like cells (Ao-bCMs) exhibited calcium oscillations. This differentiation seems to be dependent on an inflammatory microenvironment since depletion of VW-SC-derived macrophages by treatment with clodronate liposomes in vitro stopped the generation of Ao bCMs. These locally generated F4/80+ macrophages exhibit high levels of VEGF (vascular endothelial growth factor). To a great majority, VW-SCs were found to be positive for VEGFR-2 and blocking this receptor also stopped the generation VW-SC-derived beating cells in vitro. Furthermore, the treatment of aortic wall-derived cells with the ß-receptor agonist isoproterenol or the antagonist propranolol resulted in a significant increase or decrease of beating frequency. Finally, fluorescently labeled aortic wall-derived cells were implanted into the developing chick embryo heart field where they became positive for α-SRA two days after implantation. The current data strongly suggest that VW-SCs resident in the vascular adventitia deliver both progenitors for an inflammatory microenvironment and beating cells. The present study identifies that the Sca-1- rather than Sca-1+ fraction of mouse aortic wall-derived cells harbors VW-SCs differentiating into cardiomyocyte-like cells and reveals an essential role of VW-SCs-derived inflammatory macrophages and VEGF-signaling in this process. Furthermore, this study demonstrates the cardiogenic capacity of aortic VW-SCs in vivo using a chimeric chick embryonic model.
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.
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.
Current preclinical models used to evaluate novel therapies for improved healing include both in vitro and in vivo methods. However, ethical concerns related to the use of animals as well as the poor physiological translation between animal and human skin wound healing designate in vitro models as a highly relevant and promising platforms for healing investigation. While current in vitro 3D skin models recapitulate a mature tissue with healing properties, they still represent a simplification of the in vivo conditions, where for example the inflammatory response originating after wound formation involves the contribution of immune cells. Macrophages are among the main contributors to the inflammatory response and regulate its course thanks to their plasticity. Therefore, their implementation into in vitro skin could greatly increase the physiological relevance of the models. As no full-thickness immunocompetent skin model containing macrophages has been reported so far, the parameters necessary for a successful triple co-culture of fibroblasts, keratinocytes and macrophages were here investigated. At first, cell source and culture timed but also an implementation strategy for macrophages were deter-mined. The implementation of macrophages into the skin model focused on the minimization of the culture time to preserve immune cell viability and phenotype, as the environment has a major influence on cell polarization and cytokine production. To this end, incorporation of macrophages in 3D gels prior to the combination with skin models was selected to better mimic the in vivo environment. Em-bedded in collagen hydrogels, macrophages displayed a homogeneous cell distribution within the gel, preserving cell viability, their ability to respond to stimuli and their capability to migrate through the matrix, which are all needed during the involvement of macrophages in the inflammatory response. Once established how to introduce macrophages into skin models, different culture media were evaluated for their effects on primary fibroblasts, keratinocytes and macrophages, to identify a suitable medium composition for the culture of immunocompetent skin. The present work confirmed that each cell type requires a different supplement combination for maintaining functional features and showed for the first time that media that promote and maintain a mature skin structure have negative effects on primary macrophages. Skin differentiation media negatively affected macrophages in terms of viability, morphology, ability to respond to pro- and anti-inflammatory stimuli and to migrate through a collagen gel. The combination of wounded skin equivalents and macrophage-containing gels con-firmed that culture medium inhibits macrophage participation in the inflammatory response that oc-curs after wounding. The described macrophage inclusion method for immunocompetent skin creation is a promising approach for generating more relevant skin models. Further optimization of the co-cul-ture medium will potentially allow mimicking a physiological inflammatory response, enabling to eval-uate the effects novel drugs designed for improved healing on improved in vitro models.
Background
The honeybee (Apis mellifera) represents a model organism for social insects displaying behavioral plasticity. This is reflected by an age-dependent task allocation. The most protruding tasks are performed by young nurse bees and older forager bees that take care of the brood inside the hive and collect food from outside the hive, respectively. The molecular mechanism leading to the transition from nurse bees to foragers is currently under intense research. Circular RNAs, however, were not considered in this context so far. As of today, this group of non-coding RNAs was only known to exist in two other insects, Drosophila melanogaster and Bombyx mori. Here we complement the state of circular RNA research with the first characterization in a social insect.
Results
We identified numerous circular RNAs in the brain of A. mellifera nurse bees and forager bees using RNA-Seq with exonuclease enrichment. Presence and circularity were verified for the most abundant representatives. Back-splicing in honeybee occurs further towards the end of transcripts and in transcripts with a high number of exons. The occurrence of circularized exons is correlated with length and CpG-content of their flanking introns. The latter coincides with increased DNA-methylation in the respective loci. For two prominent circular RNAs the abundance in worker bee brains was quantified in TaqMan assays. In line with previous findings of circular RNAs in Drosophila, circAmrsmep2 accumulates with increasing age of the insect. In contrast, the levels of circAmrad appear age-independent and correlate with the bee's task. Its parental gene is related to amnesia-resistant memory.
Conclusions
We provide the first characterization of circRNAs in a social insect. Many of the RNAs identified here show homologies to circular RNAs found in Drosophila and Bombyx, indicating that circular RNAs are a common feature among insects. We find that exon circularization is correlated to DNA-methylation at the flanking introns. The levels of circAmrad suggest a task-dependent abundance that is decoupled from age. Moreover, a GO term analysis shows an enrichment of task-related functions. We conclude that circular RNAs could be relevant for task allocation in honeybee and should be investigated further in this context.
Hepatic activation of protein kinase C (PKC) isoforms by diacylglycerol (DAG) promotes insulin resistance and contributes to the development of type 2 diabetes (T2D). The closely related protein kinase D (PKD) isoforms act as effectors for DAG and PKC. Here, we showed that PKD3 was the predominant PKD isoform expressed in hepatocytes and was activated by lipid overload. PKD3 suppressed the activity of downstream insulin effectors including the kinase AKT and mechanistic target of rapamycin complex 1 and 2 (mTORC1 and mTORC2). Hepatic deletion of PKD3 in mice improved insulin-induced glucose tolerance. However, increased insulin signaling in the absence of PKD3 promoted lipogenesis mediated by SREBP (sterol regulatory element-binding protein) and consequently increased triglyceride and cholesterol content in the livers of PKD3-deficient mice fed a high-fat diet. Conversely, hepatic-specific overexpression of a constitutively active PKD3 mutant suppressed insulin-induced signaling and caused insulin resistance. Our results indicate that PKD3 provides feedback on hepatic lipid production and suppresses insulin signaling. Therefore, manipulation of PKD3 activity could be used to decrease hepatic lipid content or improve hepatic insulin sensitivity.
Endogenous clocks regulate physiological as well as behavioral rhythms within all organisms. They are well investigated in D. melanogaster on a molecular as well as anatomical level. The neuronal clock network within the brain represents the center for rhythmic activity control. One neuronal clock subgroup, the pigment dispersing factor (PDF) neurons, stands out for its importance in regulating rhythmic behavior. These neurons express the neuropeptide PDF (pigment dispersing factor). A small neuropil at the medulla’s edge, the accessory medulla (AME), is of special interest, as it has been determined as the main center for clock control. It is not only highly innervated by the PDF neurons but also by terminals of all other clock neuron subgroups. Furthermore, terminals of the photoreceptors provide light information to the AME. Many different types of neurons converge within the AME and afterward spread to their next target. Thereby the AME is supplied with information from a variety of brain regions. Among these neurons are the aminergic ones whose receptors’ are expressed in the PDF neurons. The present study sheds light onto putative synaptic partners and anatomical arrangements within the neuronal clock network, especially within the AME, as such knowledge is a prerequisite to understand circadian behavior. The aminergic neurons’ conspicuous vicinity to the PDF neurons suggests synaptic communication among them. Thus, based on former anatomical studies regarding this issue detailed light microscopic studies have been performed. Double immunolabellings, analyses of the spatial relation of pre- and postsynaptic sites of the individual neuron populations with respect to each other and the identification of putative synaptic partners using GRASP reenforce the hypothesis of synaptic interactions within the AME between dopaminergic/ serotonergic neurons and the PDF neurons. To shed light on the synaptic partners I performed first steps in array tomography, as it allows terrific informative analyses of fluorescent signals on an ultrastructural level. Therefore, I tested different ways of sample preparation in order to achieve and optimize fluorescent signals on 100 nm thin tissue sections and I made overlays with electron microscopic images. Furthermore, I made assumptions about synaptic modulations within the neuronal clock network via glial cells. I detected their cell bodies in close vicinity to the AME and PDFcontaining clock neurons. It has already been shown that glial cells modulate the release of PDF from s-LNvs’ terminals within the dorsal brain. On an anatomical level this modulation appears to exist also within the AME, as synaptic contacts that involve PDF-positive dendritic terminals are embedded into glial fibers. Intriguingly, these postsynaptic PDF fibers are often VIIAbstract part of dyadic or even multiple-contact sites in opposite to prolonged presynaptic active zonesimplicating complex neuronal interactions within the AME. To unravel possible mechanisms of such synaptic arrangements, I tried to localize the ABC transporter White. Its presence within glial cells would indicate a recycling mechanism of transmitted amines which allows their fast re-provision. Taken together, synapses accompanied by glial cells appear to be a common arrangement within the AME to regulate circadian behavior. The complexity of mechanisms that contribute in modulation of circadian information is reflected by the complex diversity of synaptic arrangements that involves obviously several types of neuron populations
Anti-CNTN1 IgG3 induces acute conduction block and motor deficits in a passive transfer rat model
(2019)
Background:
Autoantibodies against the paranodal protein contactin-1 have recently been described in patients with severe acute-onset autoimmune neuropathies and mainly belong to the IgG4 subclass that does not activate complement. IgG3 anti-contactin-1 autoantibodies are rare, but have been detected during the acute onset of disease in some cases. There is evidence that anti-contactin-1 prevents adhesive interaction, and chronic exposure to anti-contactin-1 IgG4 leads to structural changes at the nodes accompanied by neuropathic symptoms. However, the pathomechanism of acute onset of disease and the pathogenic role of IgG3 anti-contactin-1 is largely unknown.
Methods:
In the present study, we aimed to model acute autoantibody exposure by intraneural injection of IgG of patients with anti-contacin-1 autoantibodies to Lewis rats. Patient IgG obtained during acute onset of disease (IgG3 predominant) and IgG from the chronic phase of disease (IgG4 predominant) were studied in comparison.
Results:
Conduction blocks were measured in rats injected with the “acute” IgG more often than after injection of “chronic” IgG (83.3% versus 35%) and proved to be reversible within a week after injection. Impaired nerve conduction was accompanied by motor deficits in rats after injection of the “acute” IgG but only minor structural changes of the nodes. Paranodal complement deposition was detected after injection of the “acute IgG”. We did not detect any inflammatory infiltrates, arguing against an inflammatory cascade as cause of damage to the nerve. We also did not observe dispersion of paranodal proteins or sodium channels to the juxtaparanodes as seen in patients after chronic exposure to anti-contactin-1.
Conclusions:
Our data suggest that anti-contactin-1 IgG3 induces an acute conduction block that is most probably mediated by autoantibody binding and subsequent complement deposition and may account for acute onset of disease in these patients. This supports the notion of anti-contactin-1-associated neuropathy as a paranodopathy with the nodes of Ranvier as the site of pathogenesis.
Solitary bees build their nests by modifying the interior of natural cavities, and they provision them with food by importing collected pollen. As a result, the microbiota of the solitary bee nests may be highly dependent on introduced materials. In order to investigate how the collected pollen is associated with the nest microbiota, we used metabarcoding of the ITS2 rDNA and the 16S rDNA to simultaneously characterize the pollen composition and the bacterial communities of 100 solitary bee nest chambers belonging to seven megachilid species. We found a weak correlation between bacterial and pollen alpha diversity and significant associations between the composition of pollen and that of the nest microbiota, contributing to the understanding of the link between foraging and bacteria acquisition for solitary bees. Since solitary bees cannot establish bacterial transmission routes through eusociality, this link could be essential for obtaining bacterial symbionts for this group of valuable pollinators.
Mathematical optimization framework allows the identification of certain nodes within a signaling network. In this work, we analyzed the complex extracellular-signal-regulated kinase 1 and 2 (ERK1/2) cascade in cardiomyocytes using the framework to find efficient adjustment screws for this cascade that is important for cardiomyocyte survival and maladaptive heart muscle growth. We modeled optimal pharmacological intervention points that are beneficial for the heart, but avoid the occurrence of a maladaptive ERK1/2 modification, the autophosphorylation of ERK at threonine 188 (ERK\(^{Thr188}\) phosphorylation), which causes cardiac hypertrophy. For this purpose, a network of a cardiomyocyte that was fitted to experimental data was equipped with external stimuli that model the pharmacological intervention points. Specifically, two situations were considered. In the first one, the cardiomyocyte was driven to a desired expression level with different treatment strategies. These strategies were quantified with respect to beneficial effects and maleficent side effects and then which one is the best treatment strategy was evaluated. In the second situation, it was shown how to model constitutively activated pathways and how to identify drug targets to obtain a desired activity level that is associated with a healthy state and in contrast to the maleficent expression pattern caused by the constitutively activated pathway. An implementation of the algorithms used for the calculations is also presented in this paper, which simplifies the application of the presented framework for drug targeting, optimal drug combinations and the systematic and automatic search for pharmacological intervention points. The codes were designed such that they can be combined with any mathematical model given by ordinary differential equations.