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Institute
- Theodor-Boveri-Institut für Biowissenschaften (107) (remove)
Sonstige beteiligte Institutionen
Salinity stress tolerance in durum wheat is strongly associated with a plant’s ability to control Na\(^{+}\) delivery to the shoot. Two loci, termed Nax1 and Nax2, were recently identified as being critical for this process and the sodium transporters HKT1;4 and HKT1;5 were identified as the respective candidate genes. These transporters retrieve Na\(^{+}\) from the xylem, thus limiting the rates of Na\(^{+}\) transport from the root to the shoot. In this work, we show that the Nax loci also affect activity and expression levels of the SOS1-like Na\(^{+}\)/H\(^{+}\) exchanger in both root cortical and stelar tissues. Net Na\(^{+}\) efflux measured in isolated steles from salt-treated plants, using the non-invasive ion flux measuring MIFE technique, decreased in the sequence: Tamaroi (parental line)>Nax1=Nax2>Nax1:Nax2 lines. This efflux was sensitive to amiloride (a known inhibitor of the Na\(^{+}\)/H\(^{+}\) exchanger) and was mirrored by net H\(^{+}\) flux changes. TdSOS1 relative transcript levels were 6–10-fold lower in Nax lines compared with Tamaroi. Thus, it appears that Nax loci confer two highly complementary mechanisms, both of which contribute towards reducing the xylem Na\(^{+}\) content. One enhances the retrieval of Na\(^{+}\) back into the root stele via HKT1;4 or HKT1;5, whilst the other reduces the rate of Na\(^{+}\) loading into the xylem via SOS1. It is suggested that such duality plays an important adaptive role with greater versatility for responding to a changing environment and controlling Na\(^{+}\) delivery to the shoot.
Neurofilament depletion improves microtubule dynamics via modulation of Stat3/stathmin signaling
(2016)
In neurons, microtubules form a dense array within axons, and the stability and function of this microtubule network is modulated by neurofilaments. Accumulation of neurofilaments has been observed in several forms of neurodegenerative diseases, but the mechanisms how elevated neurofilament levels destabilize axons are unknown so far. Here, we show that increased neurofilament expression in motor nerves of pmn mutant mice, a model of motoneuron disease, causes disturbed microtubule dynamics. The disease is caused by a point mutation in the tubulin-specific chaperone E (Tbce) gene, leading to an exchange of the most C-terminal amino acid tryptophan to glycine. As a consequence, the TBCE protein becomes instable which then results in destabilization of axonal microtubules and defects in axonal transport, in particular in motoneurons. Depletion of neurofilament increases the number and regrowth of microtubules in pmn mutant motoneurons and restores axon elongation. This effect is mediated by interaction of neurofilament with the stathmin complex. Accumulating neurofilaments associate with stathmin in axons of pmn mutant motoneurons. Depletion of neurofilament by Nefl knockout increases Stat3-stathmin interaction and stabilizes the microtubules in pmn mutant motoneurons. Consequently, counteracting enhanced neurofilament expression improves axonal maintenance and prolongs survival of pmn mutant mice. We propose that this mechanism could also be relevant for other neurodegenerative diseases in which neurofilament accumulation and loss of microtubules are prominent features.
Attraction to ethanol is common in both flies and humans, but the neuromodulatory mechanisms underlying this innate attraction are not well understood. Here, we dissect the function of the key regulator of serotonin signaling—the serotonin transporter–in innate olfactory attraction to ethanol in Drosophila melanogaster. We generated a mutated version of the serotonin transporter that prolongs serotonin signaling in the synaptic cleft and is targeted via the Gal4 system to different sets of serotonergic neurons. We identified four serotonergic neurons that inhibit the olfactory attraction to ethanol and two additional neurons that counteract this inhibition by strengthening olfactory information. Our results reveal that compensation can occur on the circuit level and that serotonin has a bidirectional function in modulating the innate attraction to ethanol. Given the evolutionarily conserved nature of the serotonin transporter and serotonin, the bidirectional serotonergic mechanisms delineate a basic principle for how random behavior is switched into targeted approach behavior.
Quantitative community-wide moth surveys frequently employ flight-interception traps equipped with UV-light emitting sources as attractants. It has long been known that moth species differ in their responsiveness to light traps. We studied how the settling behaviour of moths at a light trap may further contribute to sampling bias. We observed the behaviour of 1426 moths at a light tower. Moths were classified as either, settling and remaining still after arrival, or continually moving on the gauze for extended periods of time. Moths that did not move after settling may not end up in the sampling container of the light trap and therefore are under-represented in automated trap samples relative to their true proportions in the community. Our analyses revealed highly significant behavioural differences between moths that differed in body size. Small moths were more likely to remain stationary after settling. As a corollary, representatives of three taxa, which in Europe are predominantly small species (Nolidae, Geometridae: Eupitheciini, Erebidae: Lithosiini), usually settled down immediately, whereas most other moths remained active on or flying around the trap for some time. Moth behaviour was also modulated by ambient temperature. At high temperatures, they were less likely to settle down immediately, but this behavioural difference was most strongly apparent among medium-sized moths. These results indicate the likely extent of the sampling bias when analysing and interpreting automated light-trap samples. Furthermore, to control for temperature modulated sampling bias temperature should always be recorded when sampling moths using flight-interception traps.
Genetic Dissection of Aversive Associative Olfactory Learning and Memory in Drosophila Larvae
(2016)
Memory formation is a highly complex and dynamic process. It consists of different phases, which depend on various neuronal and molecular mechanisms. In adult Drosophila it was shown that memory formation after aversive Pavlovian conditioning includes—besides other forms—a labile short-term component that consolidates within hours to a longer-lasting memory. Accordingly, memory formation requires the timely controlled action of different neuronal circuits, neurotransmitters, neuromodulators and molecules that were initially identified by classical forward genetic approaches. Compared to adult Drosophila, memory formation was only sporadically analyzed at its larval stage. Here we deconstruct the larval mnemonic organization after aversive olfactory conditioning. We show that after odor-high salt conditioning larvae form two parallel memory phases; a short lasting component that depends on cyclic adenosine 3’5’-monophosphate (cAMP) signaling and synapsin gene function. In addition, we show for the first time for Drosophila larvae an anesthesia resistant component, which relies on radish and bruchpilot gene function, protein kinase C activity, requires presynaptic output of mushroom body Kenyon cells and dopamine function. Given the numerical simplicity of the larval nervous system this work offers a unique prospect for studying memory formation of defined specifications, at full-brain scope with single-cell, and single-synapse resolution.
Mutation Detection in Patients with Retinal Dystrophies Using Targeted Next Generation Sequencing
(2016)
Retinal dystrophies (RD) constitute a group of blinding diseases that are characterized by clinical variability and pronounced genetic heterogeneity. The different nonsyndromic and syndromic forms of RD can be attributed to mutations in more than 200 genes. Consequently, next generation sequencing (NGS) technologies are among the most promising approaches to identify mutations in RD. We screened a large cohort of patients comprising 89 independent cases and families with various subforms of RD applying different NGS platforms. While mutation screening in 50 cases was performed using a RD gene capture panel, 47 cases were analyzed using whole exome sequencing. One family was analyzed using whole genome sequencing. A detection rate of 61% was achieved including mutations in 34 known and two novel RD genes. A total of 69 distinct mutations were identified, including 39 novel mutations. Notably, genetic findings in several families were not consistent with the initial clinical diagnosis. Clinical reassessment resulted in refinement of the clinical diagnosis in some of these families and confirmed the broad clinical spectrum associated with mutations in RD genes.
Colorectal Cancer and the Human Gut Microbiome: Reproducibility with Whole-Genome Shotgun Sequencing
(2016)
Accumulating evidence indicates that the gut microbiota affects colorectal cancer development, but previous studies have varied in population, technical methods, and associations with cancer. Understanding these variations is needed for comparisons and for potential pooling across studies. Therefore, we performed whole-genome shotgun sequencing on fecal samples from 52 pre-treatment colorectal cancer cases and 52 matched controls from Washington, DC. We compared findings from a previously published 16S rRNA study to the metagenomics-derived taxonomy within the same population. In addition, metagenome-predicted genes, modules, and pathways in the Washington, DC cases and controls were compared to cases and controls recruited in France whose specimens were processed using the same platform. Associations between the presence of fecal Fusobacteria, Fusobacterium, and Porphyromonas with colorectal cancer detected by 16S rRNA were reproduced by metagenomics, whereas higher relative abundance of Clostridia in cancer cases based on 16S rRNA was merely borderline based on metagenomics. This demonstrated that within the same sample set, most, but not all taxonomic associations were seen with both methods. Considering significant cancer associations with the relative abundance of genes, modules, and pathways in a recently published French metagenomics dataset, statistically significant associations in the Washington, DC population were detected for four out of 10 genes, three out of nine modules, and seven out of 17 pathways. In total, colorectal cancer status in the Washington, DC study was associated with 39% of the metagenome-predicted genes, modules, and pathways identified in the French study. More within and between population comparisons are needed to identify sources of variation and disease associations that can be reproduced despite these variations. Future studies should have larger sample sizes or pool data across studies to have sufficient power to detect associations that are reproducible and significant after correction for multiple testing.
Obesity is a major risk factor predisposing to the development of peripheral insulin resistance and type 2 diabetes (T2D). Elevated food intake and/or decreased energy expenditure promotes body weight gain and acquisition of adipose tissue. Number of studies implicated phospholipase D (PLD) enzymes and their product, phosphatidic acid (PA), in regulation of signaling cascades controlling energy intake, energy dissipation and metabolic homeostasis. However, the impact of PLD enzymes on regulation of metabolism has not been directly determined so far. In this study we utilized mice deficient for two major PLD isoforms, PLD1 and PLD2, to assess the impact of these enzymes on regulation of metabolic homeostasis. We showed that mice lacking PLD1 or PLD2 consume more food than corresponding control animals. Moreover, mice deficient for PLD2, but not PLD1, present reduced energy expenditure. In addition, deletion of either of the PLD enzymes resulted in development of elevated body weight and increased adipose tissue content in aged animals. Consistent with the fact that elevated content of adipose tissue predisposes to the development of hyperlipidemia and insulin resistance, characteristic for the pre-diabetic state, we observed that Pld1\(^{-/-}\) and Pld2\(^{-/-}\) mice present elevated free fatty acids (FFA) levels and are insulin as well as glucose intolerant. In conclusion, our data suggest that deficiency of PLD1 or PLD2 activity promotes development of overweight and diabetes.
Accumulating evidences have assigned a central role to parasite-derived proteins in immunomodulation. Here, we report on the proteomic identification and characterization of immunomodulatory excretory-secretory (ES) products from the metacestode larva (tetrathyridium) of the tapeworm Mesocestoides corti (syn. M. vogae). We demonstrate that ES products but not larval homogenates inhibit the stimuli-driven release of the pro-inflammatory, Th1-inducing cytokine IL-12p70 by murine bone marrow-derived dendritic cells (BMDCs). Within the ES fraction, we biochemically narrowed down the immunosuppressive activity to glycoproteins since active components were lipid-free, but sensitive to heat- and carbohydrate-treatment. Finally, using bioassay-guided chromatographic analyses assisted by comparative proteomics of active and inactive fractions of the ES products, we defined a comprehensive list of candidate proteins released by M. corti tetrathyridia as potential suppressors of DC functions. Our study provides a comprehensive library of somatic and ES products and highlight some candidate parasite factors that might drive the subversion of DC functions to facilitate the persistence of M. corti tetrathyridia in their hosts.
Insects inhabiting the temperate zones measure seasonal changes in day or night length to enter the overwintering diapause. Diapause induction occurs after the duration of the night exceeds a critical night length (CNL). Our understanding of the time measurement mechanisms is continuously evolving subsequent to Bünning’s proposal that circadian systems play the clock role in photoperiodic time measurement (Bünning, 1936). Initially, the photoperiodic clocks were considered to be either based on circadian oscillators or on simple hour-glasses, depending on ‘positive’ or ‘negative’ responses in Nanda–Hamner and Bünsow experiments (Nanda & Hammer, 1958; Bünsow, 1960).
However, there are also species whose responses can be regarded as neither ‘positive’, nor as ‘negative’, such as the Northern Drosophila species Drosophila ezoana, which is investigated in the present study. In addition, modelling efforts show that the ‘positive’ and ‘negative’ Nanda–Hamner responses can also be provoked by circadian oscillators that are damped to different degrees: animals with highly sustained circadian clocks will respond ‘positive’ and those with heavily damped circadian clocks will respond ‘negative’. In the present study, an experimental assay is proposed that characterizes the photoperiodic oscillators by determining the effects of non-24-h light/dark cycles (T-cycles) on critical night length. It is predicted that there is (i) a change in the critical night length as a function of T-cycle period in sustained-oscillator-based clocks and (ii) a fxed night-length measurement (i.e. no change in critical night length) in damped-oscillator-based clocks. Drosophila ezoana flies show a critical night length of approximately 7 h irrespective of T-cycle period, suggesting a damped-oscillator-based photoperiodic clock. The conclusion is strengthened by activity recordings revealing that the activity rhythm of D. ezoana flies also dampens in constant darkness.
Background
Tropical mountain forests are hotspots of biodiversity hosting a huge but little known diversity of insects that is endangered by habitat destruction and climate change. Therefore, rapid assessment approaches of insect diversity are urgently needed to complement slower traditional taxonomic approaches. We empirically compare different DNA-based species delimitation approaches for a rapid biodiversity assessment of hyperdiverse leaf beetle assemblages along an elevational gradient in southern Ecuador and explore their effect on species richness estimates.
Methodology/Principal Findings
Based on a COI barcode data set of 674 leaf beetle specimens (Coleoptera: Chrysomelidae) of 266 morphospecies from three sample sites in the Podocarpus National Park, we employed statistical parsimony analysis, distance-based clustering, GMYC- and PTP-modelling to delimit species-like units and compared them to morphology-based (parataxonomic) species identifications. The four different approaches for DNA-based species delimitation revealed highly similar numbers of molecular operational taxonomic units (MOTUs) (n = 284–289). Estimated total species richness was considerably higher than the sampled amount, 414 for morphospecies (Chao2) and 469–481 for the different MOTU types. Assemblages at different elevational levels (1000 vs. 2000 m) had similar species numbers but a very distinct species composition for all delimitation methods. Most species were found only at one elevation while this turnover pattern was even more pronounced for DNA-based delimitation.
Conclusions/Significance
Given the high congruence of DNA-based delimitation results, probably due to the sampling structure, our study suggests that when applied to species communities on a regionally limited level with high amount of rare species (i.e. ~50% singletons), the choice of species delimitation method can be of minor relevance for assessing species numbers and turnover in tropical insect communities. Therefore, DNA-based species delimitation is confirmed as a valuable tool for evaluating biodiversity of hyperdiverse insect communities, especially when exact taxonomic identifications are missing.
Honeybees learn color information of rewarding flowers and recall these memories in future decisions. For fine color discrimination, bees require differential conditioning with a concurrent presentation of target and distractor stimuli to form a long-term memory. Here we investigated whether the long-term storage of color information shapes the neural network of microglomeruli in the mushroom body calyces and if this depends on the type of conditioning. Free-flying honeybees were individually trained to a pair of perceptually similar colors in either absolute conditioning towards one of the colors or in differential conditioning with both colors. Subsequently, bees of either conditioning groups were tested in non-rewarded discrimination tests with the two colors. Only bees trained with differential conditioning preferred the previously learned color, whereas bees of the absolute conditioning group, and a stimuli-naïve group, chose randomly among color stimuli. All bees were then kept individually for three days in the dark to allow for complete long-term memory formation. Whole-mount immunostaining was subsequently used to quantify variation of microglomeruli number and density in the mushroom-body lip and collar. We found no significant differences among groups in neuropil volumes and total microglomeruli numbers, but learning performance was negatively correlated with microglomeruli density in the absolute conditioning group. Based on these findings we aim to promote future research approaches combining behaviorally relevant color learning tests in honeybees under free-flight conditions with neuroimaging analysis; we also discuss possible limitations of this approach.q
Human papilloma virus (HPV) is the primary etiological agent responsible for cervical cancer in women. Although in total 16 high-risk HPV strains have been identified so far. Currently available commercial vaccines are designed by targeting mainly HPV16 and HPV18 viral strains as these are the most common strains associated with cervical cancer. Because of the high level of antigenic specificity of HPV capsid antigens, the currently available vaccines are not suitable to provide cross-protection from all other high-risk HPV strains. Due to increasing reports of cervical cancer cases from other HPV high-risk strains other than HPV16 and 18, it is crucial to design vaccine that generate reasonable CD8+ T-cell responses for possibly all the high-risk strains. With this aim, we have developed a computational workflow to identify conserved cross-clade CD8+ T-cell HPV vaccine candidates by considering E1, E2, E6 and E7 proteins from all the high-risk HPV strains. We have identified a set of 14 immunogenic conserved peptide fragments that are supposed to provide protection against infection from any of the high-risk HPV strains across globe.
Traditional species identification based on morphological characters is laborious
and requires expert knowledge. It is further complicated in the case of
species assemblages or degraded and processed material. DNA-barcoding,
species identification based on genetic data, has become a suitable alternative,
yet species assemblages are still difficult to study. In the past decade
meta-barcoding has widely been adopted for the study of species communities,
due to technological advances in modern sequencing platforms and
because manual separation of individual specimen is not required. Here,
meta-barcoding is put into context and applied to the study of bee-collected
pollen as well as bacterial communities. These studies provide the basis
for a critical evaluation of the powers and limitations of meta-barcoding. Advantages
identified include species identification without the need for expert
knowledge as well as the high throughput of samples and sequences. In
microbiology, meta-barcoding can facilitate directed cultivation of taxa of interest
identified with meta-barcoding data. Disadvantages include insufficient
species resolution due to short read lengths and incomplete reference
databases, as well as limitations in abundance estimation of taxa and functional
profiling. Despite these, meta-barcoding is a powerful method for the
analysis of species communities and holds high potential especially for automated
biomonitoring.
Background
Xiphophorus fishes are represented by 26 live-bearing species of tropical fish that express many attributes (e.g., viviparity, genetic and phenotypic variation, ecological adaptation, varied sexual developmental mechanisms, ability to produce fertile interspecies hybrids) that have made attractive research models for over 85 years. Use of various interspecies hybrids to investigate the genetics underlying spontaneous and induced tumorigenesis has resulted in the development and maintenance of pedigreed Xiphophorus lines specifically bred for research. The recent availability of the X. maculatus reference genome assembly now provides unprecedented opportunities for novel and exciting comparative research studies among Xiphophorus species.
Results
We present sequencing, assembly and annotation of two new genomes representing Xiphophorus couchianus and Xiphophorus hellerii. The final X. couchianus and X. hellerii assemblies have total sizes of 708 Mb and 734 Mb and correspond to 98 % and 102 % of the X. maculatus Jp 163 A genome size, respectively. The rates of single nucleotide change range from 1 per 52 bp to 1 per 69 bp among the three genomes and the impact of putatively damaging variants are presented. In addition, a survey of transposable elements allowed us to deduce an ancestral TE landscape, uncovered potential active TEs and document a recent burst of TEs during evolution of this genus.
Conclusions
Two new Xiphophorus genomes and their corresponding transcriptomes were efficiently assembled, the former using a novel guided assembly approach. Three assembled genome sequences within this single vertebrate order of new world live-bearing fishes will accelerate our understanding of relationship between environmental adaptation and genome evolution. In addition, these genome resources provide capability to determine allele specific gene regulation among interspecies hybrids produced by crossing any of the three species that are known to produce progeny predisposed to tumor development.
Natural genetic variation makes it possible to discover evolutionary changes that have been maintained in a population because they are advantageous. To understand genotype–phenotype relationships and to investigate trait architecture, the existence of both high-resolution genotypic and phenotypic data is necessary. Arabidopsis thaliana is a prime model for these purposes. This herb naturally occurs across much of the Eurasian continent and North America. Thus, it is exposed to a wide range of environmental factors and has been subject to natural selection under distinct conditions. Full genome sequencing data for more than 1000 different natural inbred lines are available, and this has encouraged the distributed generation of many types of phenotypic data. To leverage these data for meta analyses, AraPheno (https://arapheno.1001genomes.org) provide a central repository of population-scale phenotypes for A. thaliana inbred lines. AraPheno includes various features to easily access, download and visualize the phenotypic data. This will facilitate a comparative analysis of the many different types of phenotypic data, which is the base to further enhance our understanding of the genotype–phenotype map.
Rhodopsins are the major photopigments in the fruit fly Drosophila melanogaster. Drosophila express six well-characterized Rhodopsins (Rh1–Rh6) with distinct absorption maxima and expression pattern. In 2000, when the Drosophila genome was published, a novel Rhodopsin gene was discovered: Rhodopsin 7 (Rh7). Rh7 is highly conserved among the Drosophila genus and is also found in other arthropods. Phylogenetic trees based on protein sequences suggest that the seven Drosophila Rhodopsins cluster in three different groups. While Rh1, Rh2 and Rh6 form a “vertebrate-melanopsin-type”–cluster, and Rh3, Rh4 and Rh5 form an “insect-type”-Rhodopsin cluster, Rh7 seem to form its own cluster. Although Rh7 has nearly all important features of a functional Rhodopsin, it differs from other Rhodopsins in its genomic and structural properties, suggesting it might have an overall different role than other known Rhodopsins.
Zusammenfassung
In der Regenerativen Medizin sind polymerbasierte Biomaterialien von großer Bedeutung für
die Entwicklung und Anwendung verbesserter bzw. neuer Therapien. Die Erforschung der
Oberflächeneigenschaften von Biomaterialien, welche als Implantate eingesetzt werden, ist
eine grundlegende Voraussetzung für deren erfolgreichen Einsatz. Die Protein-Oberflächen-
Interaktion geschieht initial, sobald ein Implantat mit Körperflüssigkeiten oder mit Gewebe
in Kontakt kommt, und trägt maßgeblich zur direkten Wechselwirkung von Implantat und
umgebenden Zellen bei. Dieser Prozess wird in der vorliegenden Arbeit an Gelatine untersucht.
Daher bestand ein Ziel darin, stabile, nanometerdünne Gelatineoberflächen herzustellen
und darauf die Adsorption von humanen Plasmaproteinen und bakteriellen Proteinen zu
analysieren.
Die Abscheidung der Gelatinefilme in variabler Schichtdicke auf zuvor mit PPX-Amin modifizierten
Oberflächen wurde unter Verwendung eines Rotationsbeschichters durchgeführt.
Um stabile Hydrogelfilme zu erhalten, wurden die Amingruppen der disaggregierten Gelatinefibrillen
untereinander und mit denen der Amin-Modifizierung durch ein biokompatibles
Diisocyanat quervernetzt. Dieser Prozess lieferte einen reproduzierbaren und chemisch stabilen
Gelatinefilm, welcher durch die substratunabhängige Amin-Modifizierung kovalent auf
unterschiedlichste Oberflächen aufgebracht werden konnte. Die durch den Herstellungsprozess
präzise eingestellte Schichtdicke (Nano- bzw. Mikrometermaßstab) wurde mittels Ellipsometrie
und Rasterkraftmikroskopie ermittelt. Die ebenso bestimmte Rauheit war unabhängig
von der Schichtdicke sehr gering. Gelatinefilme, die auf funktionalisierte und strukturierte
Proben aufgebracht wurden, konnten durch Elektronenmikroskopie dargestellt werden. Mit
Hilfe der Infrarot-Reflexions-Absorptions-Spektroskopie wurden die Gelatinefilme im Hinblick
auf ihre Stabilität chemisch charakterisiert. Zur Quantifizierung der Adsorption humaner
Plasmaproteine (Einzelproteinlösungen) und komplexer Proteingemische aus steril filtrierten
Kulturüberständen des humanpathogenen Bakteriums Pseudomonas aeruginosa wurde die
Quarzkristall-Mikrowaage mit Dissipationsüberwachung eingesetzt. Hiermit konnte nicht
nur die adsorbierte Menge an Proteinen auf dem Gelatinehydrogel bzw. Referenzoberflächen
(Gold, PPX-Amin, Titan), sondern auch die viskoelastischen Eigenschaften des adsorbierten
Proteinfilms bestimmt werden. Allgemein adsorbierte auf dem Gelatinehydrogel eine geringere
Proteinmasse im Vergleich zu den Referenzoberflächen. Circa ein Viertel der adsorbierten
Proteine migrierte in die Poren des gequollenen Gels und veränderte dessen viskoelastische
Eigenschaften. Durch anschließende MALDI-ToF/MS- und MS/MS-Analyse konnten die bakteriellen
Proteine auf den untersuchten Oberflächen identifiziert und untereinander verglichen
werden. Hierbei zeigten sich nur geringfügige Unterschiede in der Proteinzusammensetzung.
Zudem wurde eine Sekundärionenmassenspektrometrie mit Flugzeitanalyse an reinen Gelatinefilmen
und an mit humanen Plasmaproteinen beladenen Gelatinefilmen durchgeführt.
Durch eine anschließende multivariante Datenanalyse konnte zwischen den untersuchten
Proben eindeutig differenziert werden. Dieser Ansatz ermöglicht es, die Adsorption von
unterschiedlichen Proteinen auf proteinbasierten Oberflächen markierungsfrei zu untersuchen
und kann zur Aufklärung der in vivo-Situation beitragen. Darüber hinaus bietet dieser
Untersuchungsansatz neue Perspektiven für die Gestaltung und das schnelle und effiziente
Screening von unterschiedlichen Proteinzusammensetzungen.
Biomaterialien können jedoch nicht nur als Implantate oder Implantatbeschichtungen eingesetzt
werden. Im Bereich des drug delivery und der Depotarzneimittel sind biologisch
abbaubare Polymere, aufgrund ihrer variablen Eigenschaften, von großem Interesse. Die
Behandlung von bakteriellen und fungalen Pneumonien stellt insbesondere bei Menschen mit
Vorerkrankungen wie Cystische Fibrose oder primäre Ziliendyskinesie eine große Herausforderung
dar. Oral oder intravenös applizierte Wirkstoffe erreichen die Erreger aufgrund der
erhöhten Zähigkeit des Bronchialsekretes oft nicht in ausreichender Konzentration. Daher
besteht ein weiteres Ziel der vorliegenden Arbeit darin, mittels electrohydrodynamic cojetting
mikrometergroße, inhalierbare, wirkstoffbeladene Partikel mit zwei Kompartimenten
(Janus-Partikel) herzustellen und deren Eignung für die therapeutische Anwendung bei
Lungeninfektionen zu untersuchen.
Durch das in dieser Arbeit entwickelte Lösungsmittelsystem können Janus-Partikel aus
biologisch abbaubaren Co-Polymeren der Polymilchsäure (Poly(lactid-co-glycolid), PLGA)
hergestellt und mit verschiedenen Wirkstoffen beladen werden. Darunter befinden sich ein
Antibiotikum (Aztreonam, AZT), ein Antimykotikum (Itraconazol, ICZ), ein Mukolytikum
(Acetylcystein, ACC) und ein Antiphlogistikum (Ibuprofen, IBU). Die Freisetzung der eingelagerten
Wirkstoffe, mit Ausnahme von ICZ, konnte unter physiologischen Bedingungen
mittels Dialyse und anschließender Hochleistungsflüssigkeitschromatographie gemessen werden.
Die Freisetzungsrate wird von der Kettenlänge des Polymers beeinflusst, wobei eine
kürzere Kettenlänge zu einer schnelleren Freisetzung führt. Das in die Partikel eingelagerte
Antimykotikum zeigte in vitro eine gute Wirksamkeit gegen Aspergillus nidulans. Durch das
Einlagern von ICZ in die Partikel ist es möglich diesen schlecht wasserlöslichen Wirkstoff in
eine für Patienten zugängliche und wirksame Applikationsform zu bringen. In Interaktion mit
P. aeruginosa erzielten die mit Antibiotikum beladenen Partikel in vitro bessere Ergebnisse
als der Wirkstoff in Lösung, was sich in einem in vivo-Infektionsmodell mit der Wachsmotte
Galleria mellonella bestätigte. AZT-beladene Partikel hatten gegenüber einer identischen
Wirkstoffmenge in Lösung eine 27,5% bessere Überlebensrate der Wachsmotten zur Folge.
Des Weiteren hatten die Partikel keinen messbaren negativen Einfluss auf die Wachsmotten.
Dreidimensionale Atemwegsschleimhautmodelle, hergestellt mit Methoden des Tissue Engineerings,
bildeten die Basis für Untersuchungen der Partikel in Interaktion mit humanen
Atemwegszellen. Die Untersuchung von Apoptose- und Entzündungsmarkern im Überstand
der 3D-Modelle zeigte diesbezüglich keinen negativen Einfluss der Partikel auf die humanen
Zellen. Diese gut charakterisierten und standardisierten in vitro-Testsysteme machen es
möglich, Medikamentenuntersuchungen an menschlichen Zellen durchzuführen. Hinsichtlich
der histologischen Architektur und funktionellen Eigenschaften der 3D-Modelle konnte eine
hohe in vitro-/in vivo-Korrelation zu menschlichem Gewebe festgestellt werden. Humane
Mucine auf den 3D-Modellen dienten zur Untersuchung der schleimlösenden Wirkung von
ACC-beladenen Partikeln. Standen diese in räumlichem Kontakt zu den Mucinen, wurde deren
Zähigkeit durch das freigesetzte ACC herabgesetzt, was qualitativ mittels histologischen
Methoden bestätigt werden konnte.
Die in dieser Arbeit entwickelten Herstellungsprotokolle dienen als Grundlage und können
für die Synthese ähnlicher Systeme, basierend auf anderen Polymeren und Wirkstoffen,
modifiziert werden. Gelatine und PLGA erwiesen sich als vielseitig einsetzbare Werkstoffe
und bieten eine breite Anwendungsvielfalt in der Regenerativen Medizin, was die erzielten
Resultate bekräftigen.
Sequence Logos and its variants are the most commonly used method for visualization of multiple sequence alignments (MSAs) and sequence motifs. They provide consensus-based summaries of the sequences in the alignment. Consequently, individual sequences cannot be identified in the visualization and covariant sites are not easily discernible. We recently proposed Sequence Bundles, a motif visualization technique that maintains a one-to-one relationship between sequences and their graphical representation and visualizes covariant sites. We here present Alvis, an open-source platform for the joint explorative analysis of MSAs and phylogenetic trees, employing Sequence Bundles as its main visualization method. Alvis combines the power of the visualization method with an interactive toolkit allowing detection of covariant sites, annotation of trees with synapomorphies and homoplasies, and motif detection. It also offers numerical analysis functionality, such as dimension reduction and classification. Alvis is user-friendly, highly customizable and can export results in publication-quality figures. It is available as a full-featured standalone version (http://www.bitbucket.org/rfs/alvis) and its Sequence Bundles visualization module is further available as a web application (http://science-practice.com/projects/sequence-bundles).
Normal human brain development is dependent on highly dynamic epigenetic processes for spatial and temporal gene regulation. Recent work identified wide-spread changes in DNA methylation during fetal brain development. We profiled CpG methylation in frontal cortex of 27 fetuses from gestational weeks 12-42, using Illumina 450K methylation arrays. Sites showing genome-wide significant correlation with gestational age were compared to a publicly available data set from gestational weeks 3-26. Altogether, we identified 2016 matching developmentally regulated differentially methylated positions (m-dDMPs): 1767 m-dDMPs were hypermethylated and 1149 hypomethylated during fetal development. M-dDMPs are underrepresented in CpG islands and gene promoters, and enriched in gene bodies. They appear to cluster in certain chromosome regions. M-dDMPs are significantly enriched in autism-associated genes and CpGs. Our results promote the idea that reduced methylation dynamics during fetal brain development may predispose to autism. In addition, m-dDMPs are enriched in genes with human-specific brain expression patterns and/or histone modifications. Collectively, we defined a subset of dDMPs exhibiting constant methylation changes from early to late pregnancy. The same epigenetic mechanisms involving methylation changes in cis-regulatory regions may have been adopted for human brain evolution and ontogeny.