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Biochemical and molecular characterization of an original master sex determining gene in Salmonids
(2016)
Sexual development is a fundamental and versatile process that shapes animal morphology, physiology and behavior. The underlying developmental process is composed of the sex determination and the sex differentiation. Sex determination mechanisms are extremely labile among taxa. The initial triggers of the sex determination process are often genetics called sex determining genes. These genes are expressed in the bipotential gonad and tilt the balance to a developmental program allowing the differentiation of either a testis or an ovary. Fish represent a large and fascinating vertebrate group to study both sex determination and sex differentiation mechanisms. To date, among the known sex determining genes, three gene families namely sox, dmrt and TGF-β factors govern this developmental program. As exception to this rule, sdY “sexually dimorphic on the Y” does not belong to one of these families as it comes from the duplication / evolution of an ancestor gene related to immunity, i.e., the interferon related factor 9, irf9. sdY is the master sex determining gene in salmonids, a group of fishes that include species such as rainbow trout and Atlantic salmon. The present study was aimed to firstly characterize the features of SdY protein. Results indicate that SdY is predominantly localized in the cytoplasm tested in various fish and mammalian cell lines and confirmed by different methods. Predictive in silico analysis revealed that SdY is composed of a β-sandwich core surrounded by three α-helices as well specific characteristics conferring a putative protein-protein interaction site. Secondly, the study was aimed to understand how SdY could trigger testicular differentiation. SdY is a truncated divergent version of Irf9 that has a conserved protein-protein domain but lost the DNA interaction domain of its ancestor gene. It was then hypothesized that SdY could initiate testicular differentiation by protein-protein interactions. To evaluate this we first conducted a yeast-two-hybrid screen that revealed a high proportion of transcription factors including fox proteins. Using various biochemical and cellular methods we confirm an interaction between SdY and Foxl2, a major transcription factor involved in ovarian differentiation and identity maintenance. Interestingly, the interaction of SdY with Foxl2 leads to nuclear translocation of SdY from the cytoplasm. Furthermore, this SdY translocation mechanism was found to be specific to fish Foxl2 and to a lesser extend Foxl3 and not other Fox proteins or mammalian FoxL2. In addition, we found that this interaction allows the stabilization of SdY and prevents its degradation. Finally, to better decipher SdY action we used as a model a mutated version of SdY that was identified in XY females of Chinook salmon natural population. Results show that this mutation induces a local conformation defect obviously leading to a misfolded protein and a quick degradation. Moreover, the mutated version compromised the interaction with Foxl2 defining a minimal threshold to induce testicular differentiation. Altogether results from my thesis propose that SdY would trigger testicular differentiation in salmonids by preventing Foxl2 to promote ovarian differentiation. Further research should be now carried out on how this interaction of SdY and Foxl2 acts in-vivo.
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.
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.
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.
In dieser Arbeit sollte die Funktion von RSK in Motoneuronen von Drosophila untersucht
werden. Mutationen im RSK2-Gen verursachen das Coffin-Lowry-Syndrom (CLS), das durch
mentale Retardierung charakterisiert ist. RSK2 ist hauptsächlich in Regionen des Gehirns
exprimiert, in denen Lernen und Gedächtnisbildung stattfinden. In Mäusen und Drosophila, die
als Modellorganismen für CLS dienen, konnten auf makroskopischer Ebene keine
Veränderungen in den Hirnstrukturen gefunden werden, dennoch wurden in verschiedenen
Verhaltensstudien Defekte im Lernen und der Gedächtnisbildung beobachtet.
Die synaptische Plastizität und die einhergehenden Veränderungen in den Eigenschaften der
Synapse sind fundamental für adaptives Verhalten. Zur Analyse der synaptischen Plastizität
eignet sich das neuromuskuläre System von Drosophila als Modell wegen des stereotypen
Innervierungsmusters und der Verwendung ionotroper Glutamatrezeptoren, deren
Untereinheiten homolog sind zu den Untereinheiten der Glutamatrezeptoren des AMPA-Typs
aus Säugern, die wesentlich für die Bildung von LTP im Hippocampus sind.
Zunächst konnte gezeigt werden, dass RSK in den Motoneuronen von Drosophila an der
präsynaptischen Seite lokalisiert ist, wodurch RSK eine Synapsen-spezifische Funktion
ausüben könnte. Morphologische Untersuchungen der Struktur der neuromuskulären Synapsen
konnten aufzeigen, dass durch den Verlust von RSK die Größe der neuromuskulären Synapse,
der Boutons sowie der Aktiven Zonen und Glutamatrezeptorfelder reduziert ist. Obwohl mehr
Boutons gebildet werden, sind weniger Aktive Zonen und Glutamatrezeptorfelder in der
neuromuskulären Synapse enthalten. RSK reguliert die synaptische Transmission, indem es die
postsynaptische Sensitivität, nicht aber die Freisetzung der Neurotransmitter an der
präsynaptischen Seite beeinflusst, obwohl in immunhistochemischen Analysen eine
postsynaptische Lokalisierung von RSK nicht nachgewiesen werden konnte. RSK ist demnach
an der Regulation der synaptischen Plastizität glutamaterger Synapsen beteiligt.
Durch immunhistochemische Untersuchungen konnte erstmals gezeigt werden, dass aktiviertes
ERK an der präsynaptischen Seite lokalisiert ist und diese synaptische Lokalisierung von RSK
reguliert wird. Darüber hinaus konnte in dieser Arbeit nachgewiesen werden, dass durch den
Verlust von RSK hyperaktiviertes ERK in den Zellkörpern der Motoneurone vorliegt. RSK
wird durch den ERK/MAPK-Signalweg aktiviert und übernimmt eine Funktion sowohl als
Effektorkinase als auch in der Negativregulation des Signalwegs. Demnach dient RSK in den
Zellkörpern der Motoneurone als Negativregulator des ERK/MAPK-Signalwegs. Darüber
hinaus könnte RSK die Verteilung von aktivem ERK in den Subkompartimenten der
Motoneurone regulieren.
Da in vorangegangenen Studien gezeigt werden konnte, dass ERK an der Regulation der
synaptischen Plastizität beteiligt ist, indem es die Insertion der AMPA-Rezeptoren zur Bildung
der LTP reguliert, sollte in dieser Arbeit aufgeklärt werden, ob der Einfluss von RSK auf die
synaptische Plastizität durch seine Funktion als Negativregulator von ERK zustande kommt.
Untersuchungen der genetischen Interaktion von rsk und rolled, dem Homolog von ERK in
Drosophila, zeigten, dass die durch den Verlust von RSK beobachtete reduzierte Gesamtzahl
der Aktiven Zonen und Glutamatrezeptorfelder der neuromuskulären Synapse auf die Funktion
von RSK als Negativregulator von ERK zurückzuführen ist. Die Größe der neuromuskulären
Synapse sowie die Größe der Aktiven Zonen und Glutamatrezeptorfelder beeinflusst RSK
allerdings durch seine Funktion als Effektorkinase des ERK/MAPK-Signalwegs.
Studien des axonalen Transports von Mitochondrien zeigten, dass dieser in vielen
neuropathologischen Erkrankungen beeinträchtigt ist. Die durchgeführten Untersuchungen des
axonalen Transports in Motoneuronen konnten eine neue Funktion von RSK in der Regulation
des axonalen Transports aufdecken. In den Axonen der Motoneurone von RSK-Nullmutanten
wurden BRP- und CSP-Agglomerate nachgewiesen. RSK könnte an der Regulation des
axonalen Transports von präsynaptischem Material beteiligt sein. Durch den Verlust von RSK
wurden weniger Mitochondrien in anterograder Richtung entlang dem Axon transportiert, dafür verweilten mehr Mitochondrien in stationären Phasen. Diese Ergebnisse zeigen, dass
auch der anterograde Transport von Mitochondrien durch den Verlust von RSK beeinträchtigt
ist.
Although the concept of botanical carnivory has been known since Darwin's time, the molecular mechanisms that allow animal feeding remain unknown, primarily due to a complete lack of genomic information. Here, we show that the transcriptomic landscape of the Dionaea trap is dramatically shifted toward signal transduction and nutrient transport upon insect feeding, with touch hormone signaling and protein secretion prevailing. At the same time, a massive induction of general defense responses is accompanied by the repression of cell death-related genes/processes. We hypothesize that the carnivory syndrome of Dionaea evolved by exaptation of ancient defense pathways, replacing cell death with nutrient acquisition.
Unique features of a global human ectoparasite identified through sequencing of the bed bug genome
(2016)
The bed bug, Cimex lectularius, has re-established itself as a ubiquitous human ectoparasite throughout much of the world during the past two decades. This global resurgence is likely linked to increased international travel and commerce in addition to widespread insecticide resistance. Analyses of the C. lectularius sequenced genome (650 Mb) and 14,220 predicted protein-coding genes provide a comprehensive representation of genes that are linked to traumatic insemination, a reduced chemosensory repertoire of genes related to obligate hematophagy, host–symbiont interactions, and several mechanisms of insecticide resistance. In addition, we document the presence of multiple putative lateral gene transfer events. Genome sequencing and annotation establish a solid foundation for future research on mechanisms of insecticide resistance, human–bed bug and symbiont–bed bug associations, and unique features of bed bug biology that contribute to the unprecedented success of C. lectularius as a human ectoparasite.
Background: In the phase III AVAGAST trial, the addition of bevacizumab to chemotherapy improved progression-free survival (PFS) but not overall survival (OS) in patients with advanced gastric cancer. We studied the role of Angiopoietin-2 (Ang-2), a key driver of tumour angiogenesis, metastasis and resistance to antiangiogenic treatment, as a biomarker.
Methods: Previously untreated, advanced gastric cancer patients were randomly assigned to receive bevacizumab (n = 387) or placebo (n = 387) in combination with chemotherapy. Plasma collected at baseline and at progression was analysed by ELISA. The role of Ang-2 as a prognostic and a predictive biomarker of bevacizumab efficacy was studied using a Cox proportional hazards model. Logistic regression analysis was applied for correlations with metastasis. Results: Median baseline plasma Ang-2 levels were lower in Asian (2143 pg ml\(^-\)\(^1\)) vs non-Asian patients (3193 pg ml\(^-\)\(^1\)), P<0.0001. Baseline plasma Ang-2 was identified as an independent prognostic marker for OS but did not predict bevacizumab efficacy alone or in combination with baseline VEGF. Baseline plasma Ang-2 correlated with the frequency of liver metastasis (LM) at any time: Odds ratio per 1000 pg ml\(^-\)\(^1\) increase: 1.19; 95% CI 1.10-1.29; P<0.0001 (non-Asians) and 1.37; 95% CI 1.13-1.64; P = 0.0010 (Asians).
Conclusions: Baseline plasma Ang-2 is a novel prognostic biomarker for OS in advanced gastric cancer strongly associated with LM. Differences in Ang-2 mediated vascular response may, in part, account for outcome differences between Asian and non-Asian patients; however, data have to be further validated. Ang-2 is a promising drug target in gastric cancer.
Mining biomedical images towards valuable information retrieval in biomedical and life sciences
(2016)
Biomedical images are helpful sources for the scientists and practitioners in drawing significant hypotheses, exemplifying approaches and describing experimental results in published biomedical literature. In last decades, there has been an enormous increase in the amount of heterogeneous biomedical image production and publication, which results in a need for bioimaging platforms for feature extraction and analysis of text and content in biomedical images to take advantage in implementing effective information retrieval systems. In this review, we summarize technologies related to data mining of figures. We describe and compare the potential of different approaches in terms of their developmental aspects, used methodologies, produced results, achieved accuracies and limitations. Our comparative conclusions include current challenges for bioimaging software with selective image mining, embedded text extraction and processing of complex natural language queries.