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- Drosophila (5)
- Taufliege (4)
- DNA methylation (3)
- Drosophila melanogaster (3)
- biodiversity (3)
- circadian rhythms (3)
- vision (3)
- DNA damage (2)
- DNS-Sequenz (2)
- Spermatogenesis (2)
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- Theodor-Boveri-Institut für Biowissenschaften (107) (entfernen)
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The microbial communities that live inside the human gastrointestinal tract -the human gut
microbiome- are important for host health and wellbeing. Characterizing this new “organ”,
made up of as many cells as the human body itself, has recently become possible through
technological advances. Metagenomics, the high-throughput sequencing of DNA directly from
microbial communities, enables us to take genomic snapshots of thousands of microbes living
together in this complex ecosystem, without the need for isolating and growing them.
Quantifying the composition of the human gut microbiome allows us to investigate its
properties and connect it to host physiology and disease. The wealth of such connections was
unexpected and is probably still underestimated. Due to the fact that most of our dietary as well
as medicinal intake affects the microbiome and that the microbiome itself interacts with our
immune system through a multitude of pathways, many mechanisms have been proposed to
explain the observed correlations, though most have yet to be understood in depth.
An obvious prerequisite to characterizing the microbiome and its interactions with the host is
the accurate quantification of its composition, i.e. determining which microbes are present and
in what numbers they occur. Historically, standard practices have existed for sample handling,
DNA extraction and data analysis for many years. However, these were generally developed for
single microbe cultures and it is not always feasible to implement them in large scale
metagenomic studies. Partly because of this and partly because of the excitement that new
technology brings about, the first metagenomic studies each took the liberty to define their own
approach and protocols. From early meta-analysis of these studies it became clear that the
differences in sample handling, as well as differences in computational approaches, made
comparisons across studies very difficult. This restricts our ability to cross-validate findings of
individual studies and to pool samples from larger cohorts. To address the pressing need for
standardization, we undertook an extensive comparison of 21 different DNA extraction methods
as well as a series of other sample manipulations that affect quantification. We developed a
number of criteria for determining the measurement quality in the absence of a mock
community and used these to propose best practices for sampling, DNA extraction and library
preparation. If these were to be accepted as standards in the field, it would greatly improve
comparability across studies, which would dramatically increase the power of our inferences
and our ability to draw general conclusions about the microbiome.
Most metagenomics studies involve comparisons between microbial communities, for example
between fecal samples from cases and controls. A multitude of approaches have been proposed
to calculate community dissimilarities (beta diversity) and they are often combined with
various preprocessing techniques. Direct metagenomics quantification usually counts
sequencing reads mapped to specific taxonomic units, which can be species, genera, etc. Due to
technology-inherent differences in sampling depth, normalizing counts is necessary, for
instance by dividing each count by the sum of all counts in a sample (i.e. total sum scaling), or by
subsampling. To derive a single value for community (dis-)similarity, multiple distance
measures have been proposed. Although it is theoretically difficult to benchmark these
approaches, we developed a biologically motivated framework in which distance measures can
be evaluated. This highlights the importance of data transformations and their impact on the
measured distances.
Building on our experience with accurate abundance estimation and data preprocessing
techniques, we can now try and understand some of the basic properties of microbial
communities. In 2011, it was proposed that the space of genus level variation of the human gut
microbial community is structured into three basic types, termed enterotypes. These were
described in a multi-country cohort, so as to be independent of geography, age and other host
properties. Operationally defined through a clustering approach, they are “densely populated
areas in a multidimensional space of community composition”(source) and were proposed as a
general stratifier for the human population. Later studies that applied this concept to other
datasets raised concerns about the optimum number of clusters and robustness of the
clustering approach. This heralded a long standing debate about the existence of structure and
the best ways to determine and capture it. Here, we reconsider the concept of enterotypes, in
the context of the vastly increased amounts of available data. We propose a refined framework
in which the different types should be thought of as weak attractors in compositional space and
we try to implement an approach to determining which attractor a sample is closest to. To this
end, we train a classifier on a reference dataset to assign membership to new samples. This way,
enterotypes assignment is no longer dataset dependent and effects due to biased sampling are
minimized. Using a model in which we assume the existence of three enterotypes characterized
by the same driver genera, as originally postulated, we show the relevance of this stratification
and propose it to be used in a clinical setting as a potential marker for disease development.
Moreover, we believe that these attractors underline different rules of community assembly and
we recommend they be accounted for when analyzing gut microbiome samples.
While enterotypes describe structure in the community at genus level, metagenomic sequencing
can in principle achieve single-nucleotide resolution, allowing us to identify single nucleotide
polymorphisms (SNPs) and other genomic variants in the gut microbiome. Analysis
methodology for this level of resolution has only recently been developed and little exploration
has been done to date. Assessing SNPs in a large, multinational cohort, we discovered that the
landscape of genomic variation seems highly structured even beyond species resolution,
indicating that clearly distinguishable subspecies are prevalent among gut microbes. In several
cases, these subspecies exhibit geo-stratification, with some subspecies only found in the
Chinese population. Generally however, they present only minor dispersion limitations and are
seen across most of our study populations. Within one individual, one subspecies is commonly
found to dominate and only rarely are several subspecies observed to co-occur in the same
ecosystem. Analysis of longitudinal data indicates that the dominant subspecies remains stable
over periods of more than three years. When interrogating their functional properties we find
many differences, with specific ones appearing relevant to the host. For example, we identify a
subspecies of E. rectale that is lacking the flagellum operon and find its presence to be
significantly associated with lower body mass index and lower insulin resistance of their hosts;
it also correlates with higher microbial community diversity. These associations could not be
seen at the species level (where multiple subspecies are convoluted), which illustrates the
importance of this increased resolution for a more comprehensive understanding of microbial
interactions within the microbiome and with the host.
Taken together, our results provide a rigorous basis for performing comparative metagenomics
of the human gut, encompassing recommendations for both experimental sample processing
and computational analysis. We furthermore refine the concept of community stratification into
enterotypes, develop a reference-based approach for enterotype assignment and provide
compelling evidence for their relevance. Lastly, by harnessing the full resolution of
metagenomics, we discover a highly structured genomic variation landscape below the
microbial species level and identify common subspecies of the human gut microbiome. By
developing these high-precision metagenomics analysis tools, we thus hope to contribute to a
greatly improved understanding of the properties and dynamics of the human gut microbiome.
Spermiogenesis describes the differentiation of haploid germ cells into motile, fertilization-competent spermatozoa. During this fundamental transition the species-specific sperm head is formed, which necessitates profound nuclear restructuring coincident with the assembly of sperm-specific structures and chromatin compaction. In the case of the mouse, it is characterized by reshaping of the early round spermatid nucleus into an elongated sickle-shaped sperm head. This tremendous shape change requires the transduction of cytoskeletal forces onto the nuclear envelope (NE) or even further into the nuclear interior. LINC (linkers of nucleoskeleton and cytoskeleton) complexes might be involved in this process, due to their general function in bridging the NE and thereby physically connecting the nucleus to the peripheral cytoskeleton.
LINC complexes consist of inner nuclear membrane integral SUN-domain proteins and outer nuclear membrane KASH-domain counterparts. SUN- and KASH-domain proteins are directly connected to each other within the perinuclear space, and are thus capable of transferring forces across the NE. To date, these protein complexes are known for their essential functions in nuclear migration, anchoring and positioning of the nucleus, and even for chromosome movements and the maintenance of cell polarity and nuclear shape.
In this study LINC complexes were investigated with regard to their potential role in sperm head formation, in order to gain further insight into the processes occurring during spermiogenesis. To this end, the behavior and function of the testis-specific SUN4 protein was studied. The SUN-domain protein SUN4, which had received limited characterization prior to this work, was found to be exclusively expressed in haploid stages during germ cell development. In these cell stages, it specifically localized to the posterior NE at regions decorated by the manchette, a spermatid-specific structure which was previously shown to be involved in nuclear shaping. Mice deficient for SUN4 exhibited severely disorganized manchette residues and gravely misshapen sperm heads. These defects resulted in a globozoospermia-like phenotype and male mice infertility. Therefore, SUN4 was not only found to be mandatory for the correct assembly and anchorage of the manchette, but also for the correct localization of SUN3 and Nesprin1, as well as of other NE components. Interaction studies revealed that SUN4 had the potential to interact with SUN3, Nesprin1, and itself, and as such is likely to build functional LINC complexes that anchor the manchette and transfer cytoskeletal forces onto the nucleus.
Taken together, the severe impact of SUN4 deficiency on the nucleocytoplasmic junction during sperm development provided direct evidence for a crucial role of SUN4 and other LINC complex components in mammalian sperm head formation and fertility.
Aufklärung der molekularen Struktur und Funktion des R-Typ Anionenkanals QUAC1 in Schließzellen
(2016)
Zum Gasaustausch mit Ihrer Umgebung besitzen höhere Pflanzen stomatäre Komplexe. Die Turgor-getrieben Atmungsöffnungen in der Epidermis der Blätter werden von zwei Schließzellen umsäumt. Um bei Trockenheit einen exzessiven Verlust von Wasser zu verhindern, synthetisieren/importieren Schließzellen das Stresshormon ABA (Abszisinsäure), das über eine schnelle ABA-Signalkaskade plasmamembrangebundene Ionenkanäle steuert. Dabei wird der Stomaschluss durch die Aktivität von R-(rapid) und S-(slow)Typ Anionenkanälen initiiert. Obwohl die R- und S-Typ Anionenströme in Schließzellen seit Jahrzehnten bekannt waren, konnte erst kürzlich das Gen identifiziert werden, das für den S-Typ Anionenkanal (SLAC1, Slow activating Anion Channel 1) kodiert. Daraufhin wurde schnell der Zusammenhang zwischen dem Stresshormon ABA, der ABA-Signalkette und der Aktivität des SLAC1 Anionenkanals im heterologen Expressionssystem der X. laevis Oozyten als auch in Schließzellprotoplasten aufgeklärt. Es konnte gezeigt werden, dass ABA durch einen zytosolischen Rezeptor/Phosphatasekomplex (RCAR1/ABI1) erkannt wird und die Aktivität von kalziumabhängigen Kinasen (CPK-Familie) sowie kalziumunabhängigen Kinasen der SnRK2-Familie (OST1) steuert. In Anwesenheit von ABA phosphorylieren diese Kinasen SLAC1 und sorgen so für die Aktivierung von Anionenströmen und damit für die Initiierung des Stomaschlusses.
Die genetische Herkunft der ABA-induzierten R-Typ Ströme in Schließzellen war zu Beginn der vorliegenden Arbeit noch nicht bekannt. R-Typ Ströme zeichnen sich durch eine strikte Spannungsabhängigkeit und sehr schnellen Aktivierungs- sowie Deaktivierungskinetiken aus. Die Charakterisierung von Verlustmutanten des Schließzell-exprimierten Gens ALMT12 (Aluminium-aktivierter Malattransporter 12) konnte in Zusammenarbeit mit der Arbeitsgruppe Martinoia (Zürich) erste Hinweise auf die Beteiligung dieses Gens an der Stomabewegung demonstrieren. Anschließende Patch-Clamp Untersuchungen an Schließzellprotoplasten aus Wildtyppflanzen und ALMT12-Verlustmutanten zeigten, dass ALMT12 für die Malat-aktivierte R-Typ Anionenstromkomponente verantwortlich ist. Deshalb wurde der Anionenkanal QUAC1 (Quickly activating Anion Channel 1) benannt - in Anlehnung an die Benennung des Anionenkanals SLAC1. Mit der Identifizierung von QUAC1 in planta war es nun meine Aufgabe, die elektrischen Eigenschaften von ALMT12/QUAC1 und dessen Aktivitätskontrolle durch die ABA-Signalkaskade im heterologen Expressionssystem der Xenopus Oozyten zu untersuchen.
Protein-Protein Interaktionsstudien mit der Hilfe der Bimolekularen Fluoreszenz-Technik, sowie die Beobachtung von markant erhöhten QUAC1 Anionenströmen in Anwesenheit der SnRK2 Kinase OST1 und den Calcium-abhängigen Kinasen CPK2 und CPK20, ließen den Schluss zu, dass QUAC1, ebenso wie SLAC1, unter der Kontrolle des schnellen ABA-Signalwegs steht. Eine zusätzliche Expression des negativen Regulators ABI1 unterdrückte die aktivierenden Eigenschaften der QUAC1-aktivierenden Kinasen, was die Hypothese der Koregulation von S- und R-Typ Anionenkanälen durch die gleiche ABA-Signalkaskade weiter unterstützt.
Zur weiteren Aufklärung der elektrischen Eigenschaften von QUAC1 wurden tiefgreifende elektrophysiologische Untersuchungen mit der Zwei-Elektroden-Spannungsklemmen Technik durchgeführt. Durch die Wahl von geschickten Spannungsprotokollen konnte sowohl die schnelle Aktivierungskinetik als auch die schnelle Deaktivierungskinetik von QUAC1 bestimmt und quantifiziert werden. Diese Stromantworten waren sehr ähnlich zu den R-Typ Strömen, die man von Patch-Clamp Untersuchungen an Schließzellprotoplasten kannte, was ein weiteres Indiz dafür war, dass es sich bei QUAC1 tatsächlich um eine Komponente des R-Typ Kanals aus Schließzellen handelt. Weiterführende Untersuchungen bezüglich der Spannungsabhängigkeit und der Selektivität von QUAC1 charakterisierten das Protein als einen Depolarisations-aktivierten Anionenkanal mit einer starken Präferenz für Dicarbonsäuren wie Malat und Fumarat. Zudem konnte auch eine Leitfähigkeit für Sulfat und Chlorid nachgewiesen werden. Interessanterweise erwies sich Malat nicht nur als ein permeierendes Ion, sondern auch als ein regulierendes Ion, welches das spannungsabhängige Schalten von QUAC1 maßgeblich beeinflusst. Extrazelluläres Malat verschob die Offenwahrscheinlichkeit von QUAC1 sehr stark zu negativeren Membranspannungen, so dass der Anionenkanal bereits bei typischen Ruhespannungen von Schließzellen (ca. -150 mV) aktiviert werden konnte. Eine Beladung von QUAC1-exprimierender Oozyten mit Malat bewirkte zum einen höhere Anioneneffluxströme, aber auch eine Verschiebung der spannungsabhängigen Offenwahrscheinlichkeit zu negativeren Membranpotentialen.
Struktur-Funktionsanalysen sollten die umstrittene Topologie von ALMT-ähnlichen Proteinen beleuchten und die molekulare Herkunft der Phosphorylierungsaktivierung aufzeigen, sowie die Malatabhängigkeit und die starke Spannungsabhängigkeit von QUAC1 aufklären. Es zeigte sich jedoch schnell, dass Punktmutationen und Deletionen im C-Terminus von QUAC1 sehr häufig zu nicht-funktionellen Mutanten führten. Diese Tatsache weist darauf hin, dass es sich um einen hoch-strukturierten und funktionell sehr wichtigen Bereich des Anionenkanals handelt. Auch die Topologie des Anionenkanalproteins wird in der Literatur kontrovers diskutiert. Sowohl die Lage des N- und C-Terminus (extrazellulär oder intrazellulär), als auch die Anzahl der membrandurchspannenden Domänen war nicht abschließend geklärt. Deshalb wurde in einem Fluoreszenz-basiertem Ansatz die Lage der Termini bestimmt. Im Rahmen meiner Arbeit konnte somit eindeutig gezeigt werden, dass sich beide Termini im Zytosol der Zelle befinden. Auf Grundlage von Modellen aus der Literatur und meiner Topologiebestimmungen konnte schließlich ein erweitertes Modell zur Struktur von QUAC1 entwickelt werden. Dieses Modell kann in Zukunft als Ausgangspunkt für weiterführende Struktur-Funktionsanalysen dienen.
Diese Arbeit hat somit gezeigt, dass das Gen QUAC1 tatsächlich eine Komponente der R-Typ Ströme in Schließzellen kodiert. Ebenso wie SLAC1 steht der Malat-induzierte Anionenkanal QUAC1 unter der Kontrolle der schnellen ABA-Signalkaskade. In Zukunft bleibt zu klären, welche weiteren Gene für die R-Typ Kanalproteine in Schließzellen kodieren und welche strukturelle Grundlage für die besonderen Eigenschaften von QUAC1 hinsichtlich seiner schnellen Kinetiken, seiner Selektivität und Aktivierbarkeit durch Malat.
The rotation of the earth around its own axis determines periodically changing environmental conditions, like alterations in light and temperature. For the purpose of adapting all organisms’ behavior, physiology and metabolism to recurring changes, endogenous clocks have evolved, which allow the organisms to anticipate environmental changes. In chronobiology, the scientific field dealing with the investigation of the underlying mechanisms of the endogenous clock, the fruit fly Drosophila melanogaster serves as a beneficial model organism. The fruit fly’s circadian clock exhibits a rather simple anatomical organization, but nevertheless constitutes homologies to the mammalian system. Thus also in this PhD-thesis the fruit fly was used to decipher general features of the circadian clock’s interneuronal communication.
Drosophila melanogaster’s circadian clock consists of about 150 clock neurons, which are located in the central nervous system of the fly. These clock neurons can be subdivided regarding to their anatomical position in the brain into the dorsal neurons (DN1s, DN2s, DN3s), as well as into the lateral neurons (LPNs, LNds, s-LNvs, l-LNvs). Functionally these clock neuron clusters can be classified as Morning- and Evening oscillators (M- and E- oscillators), driving different parts of the fly’s locomotor activity in light-dark conditions (LD). The Morning-oscillators are represented by the s-LNvs and are known to be the main pacemakers, driving the pace of the clock in constant conditions (constant darkness; DD). The group of Evening-oscillators consists of the LNds, the DN1s and the 5th s-LNv and is important for the proper timing of the evening activity in LD. All of these clock neurons are not functionally independent, but form complex neuronal connections, which are highly plastic in their response to different environmental stimuli (Zeitgebers), like light or temperature.
Even though a lot is known about the function and the importance of some clock neuron clusters, the exact interplay between the neurons is not fully known yet. To investigate the mechanisms, which are involved in communication processes among different clock neurons, we depolarized specific clock cells in a temporally and cell-type restricted manner using dTrpA1, a thermosensitive cation channel, which allows the depolarization of neurons by application of temperature pulses (TP) above 29°C to the intact and freely moving fly. Using different clock specific GAL4-driver lines and applying TPs at different time points within the circadian cycle in DD enabled us with the help of phase shift experiments to draw conclusions on the properties of the endogenous clock. The obtained phase shifts in locomotor behavior elicited by specific clock neuronal activation were plotted as phase response curves (PRCs).
The depolarization of all clock neurons shifted the phase of activity the strongest, especially in the delay zone of the PRC. The exclusive depolarization of the M oscillators together with the l-LNvs (PDF+ neurons: s-LNvs & l-LNvs) caused shifts in the delay and in the advance zone as well, however the advances were severely enhanced in their temporal occurrence ranging into the subjective day. We concluded that light might have inhibitory effects on the PDF+ cells in that particular part of the PRC, as typical light PRCs do not exhibit that kind of distinctive advances. By completely excluding light in the PRC-experiments of this PhD-thesis, this photic inhibitory input to the PDF+ neurons is missing, probably causing the broadened advance zone. These findings suggest the existence of an inhibitory light-input pathway to the PDF+ cells from the photoreceptive organs (Hofbauer-Buchner eyelet, photoreceptor cells of compound eyes, ocelli) or from other clock neurons, which might inhibit phase advances during the subjective day.
To get an impression of the molecular state of the clock in the delay and advance zone, staining experiments against Period (PER), one of the most important core clock components, and against the neuropeptide Pigment Dispersing Factor (PDF) were performed. The cycling of PER levels mirrored the behavioral phase shifts in experimental flies, whereas the controls were widely unaffected. As just those neurons, which had been depolarized, exhibited immediate shifted PER oscillations, this effect has to be rapidly regulated in a cell-autonomous manner.
However, the molecular link between clock neuron depolarization and shifts in the molecular clock’s cycling is still missing. This issue was addressed by CREB (cAMP responsive element binding protein) quantification in the large ventrolateral neurons (l-LNvs), as these neurons responded unexpectedly and strongest to the artificial depolarization exhibiting a huge increase in PER levels. It had been previously suggested that CREB is involved in circadian rhythms by binding to regulatory sequences of the period gene (Belvin et al., 1999), thus activating its transcription. We were able to show, that CREB levels in the l-LNvs are under circadian regulation, as they exhibit higher CREB levels at the end of the subjective night relative to the end of the subjective day. That effect was further reinforced by artificial depolarization, independently of the time point of depolarization. Furthermore the data indicate that rises in CREB levels are coinciding with the time point of increases of PER levels in the l-LNvs, suggesting CREB being the molecular link between the neuronal electrical state and the molecular clock.
Taking together, the results indicate that a temporal depolarization using dTrpA1 is able to significantly phase shift the clock on the behavioral and protein level. An artificial depolarization at the beginning of the subjective night caused phase delays, whereas a depolarization at the end of the subjective night resulted in advances. The activation of all clock neurons caused a PRC that roughly resembled a light-PRC. However, the depolarization of the PDF+ neurons led to a PRC exhibiting a shape that did not resemble that of a light-mediated PRC, indicating the complex processing ability of excitatory and inhibitory input by the circadian clock. Even though this experimental approach is highly artificial, just the exclusion of light-inputs enabled us to draw novel conclusions on the network communication and its light input pathways.
Die Blut-Hirn-Schranke (BHS) stellt eine der dichtesten und wichtigsten Barrieren zwischen Blutzirkulation und Zentralnervensystem (ZNS) dar. Sie besteht aus spezialisierten Endothelzellen, welche die zerebralen Kapillaren auskleiden und durch sehr dichte Tight Junctions (TJs) miteinander verbunden sind. Weitere Komponenten der dynamischen Blut-Hirn-Schrankenbarriere stellen Perizyten, Astrozyten, Neurone und Mikrogliazellen dar, welche zusammen mit der extrazellulären Matrix der Basalmembran der Gehirnkapillaren und den zuvor genannten Endothelzellen ein komplexes regulatorisches System, die so genannte neurovaskuläre Einheit bilden (Hawkins und Davis 2005).
Die Hauptfunktionen der BHS lassen sich in drei Untergruppen untergliedern, die physikalische, metabolische und Transport-Barriere (Neuhaus und Noe 2010). Hauptsächlich dient die BHS der Aufrechterhaltung der Homöostase des ZNS und dem Schutz vor neurotoxischen Substanzen sowie Pathogenen, wie Bakterien und Viren. Zudem ist sie auch für die Versorgung der Neuronen mit Nährstoffen und regulierenden Substanzen sowie den Efflux von Stoffwechselendprodukten des ZNS zurück ins Blut verantwortlich. Für die Entwicklung von Medikamenten zur Behandlung von neurodegenerativen Erkrankungen, wie Morbus Alzheimer, Morbus Parkinson und Multiple Sklerose oder Gehirntumoren, stellt die Dichtigkeit der BHS gegenüber Substanzen und die hohe metabolische Aktivität der Endothelzellen aber ein großes Problem dar. Viele Medikamente sind nicht in der Lage in ausreichender Konzentration die BHS zu überwinden, um an ihren Wirkort zu gelangen oder werden vor dem Transport metabolisiert und die Wirksamkeit dadurch eingeschränkt. Weiterhin spielen auch Defekte der BHS eine entscheidende Rolle in der Beeinflussung der Pathogenese vieler ZNS-Erkrankungen.
Aufgrund des hohen Bedarfs an geeigneten Testsystemen in der Grundlagen- sowie präklinischen Forschung für Medikamentenentwicklung und Infektionsstudien wurden eine Vielzahl unterschiedlicher BHS-Modelle entwickelt. Neben in silico-, azellulären in vitro- und in vivo-Modellen sind auch zahlreiche zellbasierte Modelle der BHS entwickelt worden. Standardisierte Modelle auf Basis immortalisierter
Zelllinien jedoch weisen nur eine inhomogene TJ-Expression auf und verfügen meist
über eine geringe Barriereintegrität, erfasst über transendotheliale elektrische Widerstände (TEER)
unter 150
· cm2 (Deli et al. 2005). Im Vergleich dazu wurden in Tierexperimenten TEER-Werte
von mehr als 1500
· cm2 an der BHS gemessen (Butt et al. 1990; Crone und Olesen 1982). Die
Verfügbarkeit humaner primärer BHS-Zellen ist sehr limitiert und ihr Einsatz nicht nur im Hinblick
auf ethische Aspekte bedenklich. Humane Gehirnzellen können z. B. aus Biopsie- oder Autopsiematerial
von Patienten mit Epilepsie oder Gehirntumoren isoliert werden. Allerdings besteht hier
das Risiko, dass die isolierten Zellen krankheitsbedingt verändert sind, was die Eigenschaften der
BHS-Modelle erheblich beeinflussen kann.
Eine Alternative, die diese Probleme umgeht, ist die Verwendung von humanen induziert pluripotenten
Stammzellen (hiPSCs), um standardisierte humane BHS-Modelle unter reproduzierbaren
Bedingungen bereitzustellen.
Im Rahmen dieser Arbeit ist es gelungen, hiPSCs in vitro nach etablierten und standardisierten Methoden
in Endothelzellen der BHS, neurale Stammzellen (hiPS-NSCs) sowie Astrozyten (hiPS-A)
zu differenzieren (Lippmann et al. 2012; Lippmann et al. 2014; Wilson et al. 2015; Yan et al. 2013;Reinhardt et al. 2013) und zum Aufbau der Modelle einzusetzen. Die Endothelzellen wurden mit
Hilfe protein- und genbasierter Nachweismethoden auf das Vorhandensein von endothelzellspezifischen
TJ-Markern sowie spezifischen Transportern untersucht und funktionell charakterisiert. Die
Kryokonservierung der hiPS-EC-Progenitoren, die im Rahmen der vorliegenden Arbeit entwickelt
wurde, ermöglicht eine größere räumliche und zeitliche Flexibilität beim Arbeiten mit den stammzellbasierten
Modellen sowie das Anlegen standardisierter Zellbanken. Weiterhin wurden multipotente
NSCs aus fetalen Gehirnbiopsien isoliert (fNSCs) und als Kontrollkulturen zu den hiPS-NSCs
für den Aufbau von BHS-Modellen eingesetzt.
Mit dem Ziel die in vivo-BHS bestmöglich zu imitieren und die Modelleigenschaften zu optimieren,
wurde ein Set aus zehn unterschiedlichen BHS-Modellen basierend auf primären Zellen, hiPSCs
und fNSCs analysiert. Der Aufbau der BHS-Modelle erfolgte unter Verwendung von Transwellsystemen.
Durch die systematische Untersuchung des Einflusses der unterschiedlichen Zelltypen der
neurovaskulären Einheit auf die Barriereintegrität und Genexpression des BHS-Endothels, konnten
die Quadrupel-Kulturen mit Perizyten, Astrozyten und hiPS-NSCs als die Kultur mit den physiologischsten
Eigenschaften identifiziert werden. Auf Grund der signifikant erhöhten TEER-Werte
von bis zu 2500
· cm2 und einer um mindestens 1,5-fachen Steigerung der Genexpression BHSrelevanter
Transporter und TJ-Moleküle gegenüber den Monokulturen, wurden diese Modelle für
weiterführende Studien ausgewählt.
Das Vorhandensein eines komplexen, in vivo-ähnlichen TJ-Netzwerkes, bestehend aus Occludin,
Claudin 1, 3, 4 und 5, konnte mittels quantitativer Realtime-PCR, Western Blot sowie ultrastruktureller
Analyse in der Gefrierbruch- und Raster-Elektronenmikroskopie nachgewiesen werden.
Neben der Begrenzung der parazellulären Permeabilität, welche über die geringe Permeation von
FITC-Dextran (4 kDa und 40 kDa), Fluoreszein und Lucifer Yellow nachgewiesen wurde, stellt die
BHS ebenfalls eine Barriere für den transzellulären Transport von Substanzen dar. Eine Beurteilung
der Modelle hinsichtlich der Qualifikation für die Nutzung im Wirkstoffscreening wurde mit
Hilfe von Transportversuchen unter dem Einsatz von BHS-relevanten Referenzsubstanzen durchgeführt.
Die Klassifikation der Testsubstanzen erfolgte analog ihrer Permeationsgeschwindigkeiten:
Diazepam und Koffein gelten als schnell transportierte Wirkstoffe, Ibuprofen, Celecoxib und Diclofenac
werden mit einer mittleren Geschwindigkeit über die BHS transportiert und Loratadin sowie
Rhodamin 123 sind langsam permeierende Substanzen. Innerhalb der Versuche mit den Quadrupelkulturen
wurde diese Reihenfolge bestätigt, lediglich für Koffein wurde ein signifikant niedrigerer
Permeationskoeffizient verglichen mit der Monokultur erzielt.
Der Einsatz der hiPSC-Technologie ermöglicht es zudem, aus einer Stammzelllinie große Mengen
an humanen somatischen Zelltypen zu generieren und für gezielte Anwendungen bereitzustellen.
Es konnte im Rahmen dieser Arbeit gezeigt werden, dass mit Hilfe eines eigens für diese Zwecke
konstruierten Rührreaktorsystems eine reproduzierbare Expansion der hiPSCs unter definierten Bedingungen
ermöglicht wurde. Basierend auf dieser Grundlage ist nun ein Hochdurchsatz-Screening
von Medikamenten denkbar.
Die in dieser Arbeit präsentierten Daten belegen die Etablierung eines stammzellbasierten in vitro-
Quadrupelmodels der humanen BHS, welches über in vivo-ähnliche Eigenschaften verfügt. Die
Anforderungen, die an humane BHS-Modelle gestellt werden, wie die Reproduzierbarkeit der Ergebnisse,
eine angemessene Charakterisierung, welche die Untersuchung der Permeabilität von Referenzsubstanzen
einschließt, die Analyse der Expression von BHS-relevanten Transportermolekülen sowie die solide und physiologische Morphologie der Zellen, wurden erfüllt.
Das etablierte BHS-Modell kann in der Pharmaindustrie für die Entwicklung von Medikamenten
eingesetzt werden. Ausreichend qualifizierte Modelle können hier in der präklinischen Forschung
genutzt werden, um Toxizitäts- und Transportstudien an neu entwickelten Substanzen durchzuführen
und eine bessere in vitro-in vivo-Korrelation der Ergebnisse zu ermöglichen oder Mechanismen
zu entwickeln, um die BHS-Barriere gezielt zu überwinden.
Finding the right behavior at the right time is one of the major tasks of brains. In a natural scenery there is often an abundance of stimuli present and the brain has to separate the relevant from the irrelevant ones. Selective visual attention (SVA) is a property of higher visual systems that achieves this separation, as it allows to ‘[…] focus on one source of sensory input to the exclusion of others’ (Luck and Mangun, 1996). There are probably several forms of SVA depending upon the criteria used for the separation, such as salience, color, location in space, novelty, or motion. Many studies have investigated SVA in humans and non-human primates. However, complex functions like attention were initially not expected to be already implemented in the brains of simple organisms like Drosophila. After a first demonstration of selective attention in the fly (Wolf and Heisenberg, 1980), it took some time until other studies included attentional mechanisms in their argumentation to explain certain behaviors of Drosophila. However, their definition and characterization of attention differed and often was ambiguous.
Here, one particular form, spatially selective visual attention in the fly Drosophila is investigated. It has been shown earlier that the fly spontaneously may restrict its behavioral responses in stationary flight to the visual stimuli on one side of the visual field. On the basis of experiments of Sareen et al., (2011) it has been conjectured that the fly has a focus of attention (FoA) and that the fly responds to the visual stimuli within this area of the visual field. Whether the FoA is the adequate concept for this spatial property of SVA in the fly needs to be further discussed and is a subject also of the present study. At this stage, the concept will be used in the description of the new results expanding the characterization of SVA.
This study continued the investigation of SVA during tethered flight with variable but controlled visual input and an automated primary data evaluation. This standardized paradigm allowed for analysis of wild-type behavior as well as for a comparison of several mutant and pharmacologically manipulated strains to the wild-type. Some properties of human SVA like the occurrence of externally as well as internally caused shifts of attention were found in Drosophila and it could be shown, that SVA in the fly can be externally guided and has an attention span. Additionally, a neurotransmitter and proteins, which play a significant role in SVA were discovered. Based on this, the genetic tools available for Drosophila provided the means to a first examination of cells and circuits involved in SVA. Finally, the free walk behavior of flies that had been shown to have compromised SVA was characterized. The results suggested that the observed phenotypes of SVA were not behavior specific.
Covert shifts of the FoA were investigated. The FoA can be externally guided by visual cues to one or the other side of the visual field and even after the cue has disappeared it remains there for <4s. An intriguing finding of this study is the fact, that the quality of the cue determines whether it is attractive or repellent. For example a cue can be changed from being repellent (negative) to being attractive (positive) by changing its oscillation amplitude from 4° to 2°. Testing the effectiveness of cues in the upper and lower visual field separately, revealed that the perception of a cue by the fly is not exclusively based on a sum of its specifications. Because positive cueing did not have an after-effect in each of the two half-fields alone, but did so if the cue was shown in both, the fly seems to evaluate the cue for each combination of parameters specifically. Whether this evaluation of the cue changed on a trial-to-trial basis or if the cue in some cases failed to shift the FoA can at this point not be determined.
Looking at the responses of the fly to the displacement of a black vertical stripe showed that they can be categorized as no responses, syn-directional responses (following the direction of motion of the stripe) and anti-directional responses (in the opposite direction of the motion of the stripe). The yaw-torque patterns of the latter bared similarities with spontaneous body saccades and they most likely represented escape attempts of the fly. Syn-directional responses, however, were genuine object responses, distinguishable by a longer latency until they were elicited and a larger amplitude. These properties as well as the distribution of response polarities were not influenced by the presence or absence of a cue. When two stripes were displaced simultaneously in opposite directions the rate of no responses increased in comparison to the displacement of a single stripe. If one of the stripes was cued, both, the responses towards and away from the side of cue resembled the syn-directional responses.
Significant progress was made with the elucidation of the neuronal underpinnings of SVA. Ablation of the mushroom bodies (MB) demonstrated their requirement for SVA. Furthermore, it was shown that dopamine signaling has to be balanced between too much and too little. Either inhibiting the synthesis of dopamine or its re-uptake at the synapse via the dDAT impaired the flies’ susceptibility to cueing. Using the Gal4/UAS system, cell specific expression or knockdown of the dDAT was used to scrutinize the role of MB sub-compartments in SVA. The αβ-lobes turned out to be necessary and sufficient to maintain SVA. The Gal4-line c708a labels only a subset of Kenyon cells (KC) within the αβ-lobes, αβposterior. These cells stand out, because of (A) the mesh-like arrangement of their fibers within the lobes and (B) the fact that unlike the other KCs they bypass the calyx and thereby the main source of olfactory input to the MBs, forming connections only in the posterior accessory calyx (Tanaka et al., 2008). This structure receives no or only marginal olfactory input, suggesting for it a role in tasks other than olfaction. This study shows their requirement in a visual task by demonstrating that they are necessary to uphold SVA. Restoring dDAT function in these approximately only 90 cells was probably insufficient to lower the dopamine concentration at the relevant synapses and hence a rescue failed. Alternatively, the processes mediating SVA at the αβ-lobes might require an interplay between all of their KCs. In conclusion, the results provide an initial point for future research to fully understand the localization of and circuitry required for SVA in the brain.
In the experiments described so far, attention has been externally guided. However, flies are also able to internally shift their FoA without any cues from the outside world. In a set of 60 consecutive simultaneous displacements of two stripes, they were more likely to produce a response with the same polarity as the preceding one than a random polarity selection predicted. This suggested a dwelling of the FoA on one side of the visual field. Assuming that each response was influenced by the previous one in a way that the probability to repeat the response polarity was increased by a certain factor (dwelling factor, df), a random selection of response type including a df was computed. Implementation of the df removed the difference between observed probability of polarity repetition and the one suggested by random selection. When the interval between displacements was iteratively increased to 5s, no significant df could be detected anymore for pauses longer than 4s. In conclusion, Drosophila has an attention span of approximately 4s. Flies with a mutation in the radish gene expressed no after-effect of cueing and had a shortened attention span of about 1s. The dDAT inhibitor methylphenidate is able to rescue the first, but does not affect the latter phenotype. Probably, radish is differently involved in the two mechanisms.
This study showed, that endogenous (covert) shifts of spatially selective visual attention in the fly Drosophila can be internally and externally guided. The variables determining the quality of a cue turned out to be multifaceted and a more systematic approach is needed for a better understanding of what property or feature of the cue changes the way it is evaluated by the fly. A first step has been made to demonstrate that SVA is a fundamental process and compromising it can influence the characteristics of other behaviors like walking. The existence of an attention span, the dependence of SVA on dopamine as well as the susceptibility to pharmacological manipulations, which in humans are used to treat respective diseases, point towards striking similarities between SVA in humans and Drosophila.
The Venus flytrap, \textit{Dionaea muscipula}, with its carnivorous life-style and its highly
specialized snap-traps has fascinated biologist since the days of Charles Darwin. The
goal of the \textit{D. muscipula} genome project is to gain comprehensive insights into the
genomic landscape of this remarkable plant.
The genome of the diploid Venus flytrap with an estimated size between 2.6 Gbp to
3.0 Gbp is comparatively large and comprises more than 70 % of repetitive regions.
Sequencing and assembly of genomes of this scale are even with state-of-the-art
technology and software challenging. Initial sequencing and assembly of the genome
was performed by the BGI (Beijing Genomics Institute) in 2011 resulting in a 3.7 Gbp
draft assembly. I started my work with thorough assessment of the delivered assembly
and data. My analysis showed that the BGI assembly is highly fragmented and
at the same time artificially inflated due to overassembly of repetitive sequences.
Furthermore, it only comprises about on third of the expected genes in full-length,
rendering it inadequate for downstream analysis.
In the following I sought to optimize the sequencing and assembly strategy to obtain
an assembly of higher completeness and contiguity by improving data quality and
assembly procedure and by developing tailored bioinformatics tools. Issues with
technical biases and high levels of heterogeneity in the original data set were solved
by sequencing additional short read libraries from high quality non-polymorphic DNA
samples. To address contiguity and heterozygosity I examined numerous alternative
assembly software packages and strategies and eventually identified ALLPATHS-LG
as the most suited program for assembling the data at hand. Moreover, by utilizing
digital normalization to reduce repetitive reads, I was able to substantially reduce
computational demands while at the same time significantly increasing contiguity of
the assembly.
To improve repeat resolution and scaffolding, I started to explore the novel PacBio
long read sequencing technology. Raw PacBio reads exhibit high error rates of 15 %
impeding their use for assembly. To overcome this issue, I developed the PacBio
hybrid correction pipeline proovread (Hackl et al., 2014). proovread uses high
coverage Illumina read data in an iterative mapping-based consensus procedure to
identify and remove errors present in raw PacBio reads. In terms of sensitivity and
accuracy, proovread outperforms existing software. In contrast to other correction
programs, which are incapable of handling data sets of the size of D. muscipula
project, proovread’s flexible design allows for the efficient distribution of work load on high-performance computing clusters, thus enabling the correction of the Venus
flytrap PacBio data set.
Next to the assembly process itself, also the assessment of the large de novo draft
assemblies, particularly with respect to coverage by available sequencing data, is
difficult. While typical evaluation procedures rely on computationally extensive
mapping approaches, I developed and implemented a set of tools that utilize k-mer
coverage and derived values to efficiently compute coverage landscapes of large-scale
assemblies and in addition allow for automated visualization of the of the obtained
information in comprehensive plots.
Using the developed tools to analyze preliminary assemblies and by combining my
findings regarding optimizations of the assembly process, I was ultimately able to
generate a high quality draft assembly for D. muscipula. I further refined the assembly
by removal of redundant contigs resulting from separate assembly of heterozygous
regions and additional scaffolding and gapclosing using corrected PacBio data. The
final draft assembly comprises 86 × 10 3 scaffolds and has a total size of 1.45 Gbp.
The difference to the estimated genomes size is well explained by collapsed repeats.
At the same time, the assembly exhibits high fractions full-length gene models,
corroborating the interpretation that the obtained draft assembly provides a complete
and comprehensive reference for further exploration of the fascinating biology of the
Venus flytrap.