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The UN's sustainable development goals (SDGs), which aim to solve important economic, social, and environmental problems of humanity, are to be supported by education for sustainable development (ESD). Empirical studies on the success of the implementation of the SDGs in the field of education are still pending. For this reason, using the loss of global biodiversity as an example, this study examined the extent to which high school students, teacher trainees in biology, and biology bachelor students can identify the causes of the global biodiversity loss. A new questioning tool was developed and tested on 889 participants. In addition, the relationship between connection to nature and the personal assessment about biodiversity threats was examined. The factor analysis of the scale used showed that 11 out of 16 items were assigned to the intended factor. The comparison between high school students, teacher trainees in biology, and biology bachelor students showed no significant difference in overall assessment of the reasons for global biodiversity loss. When comparing the three risk levels in which the risk factors for biodiversity could be divided, across the three student groups, only minor differences were found. Therefore, a specific education of prospective teachers is necessary, as they have to pass on the competence as multipliers to their students. No significant difference could be found when examining the relationship between connection to nature and the overall scores of the assessment scale for the reasons of biodiversity loss. However, it was found that people who felt more connected to nature were more capable of assessing the main causes of risk for global biodiversity, while people who felt less connected to nature achieved better scores for the medium factors
Precise knowledge on the binding sites of an RNA-binding protein (RBP) is key to understanding the complex post-transcriptional regulation of gene expression. This information can be obtained from individual-nucleotide resolution UV crosslinking and immunoprecipitation (iCLIP) experiments. Here, we present a complete data analysis workflow to reliably detect RBP binding sites from iCLIP data. The workflow covers all steps from the initial quality control of the sequencing reads up to peak calling and quantification of RBP binding. For each tool, we explain the specific requirements for iCLIP data analysis and suggest optimised parameter settings.
Risk evaluations for agricultural chemicals are necessary to preserve healthy populations of honey bee colonies. Field studies on whole colonies are limited in behavioural research, while results from lab studies allow only restricted conclusions on whole colony impacts. Methods for automated long-term investigations of behaviours within comb cells, such as brood care, were hitherto missing. In the present study, we demonstrate an innovative video method that enables within-cell analysis in honey bee (Apis mellifera) observation hives to detect chronic sublethal neonicotinoid effects of clothianidin (1 and 10 ppb) and thiacloprid (200 ppb) on worker behaviour and development. In May and June, colonies which were fed 10 ppb clothianidin and 200 ppb thiacloprid in syrup over three weeks showed reduced feeding visits and duration throughout various larval development days (LDDs). On LDD 6 (capping day) total feeding duration did not differ between treatments. Behavioural adaptation was exhibited by nurses in the treatment groups in response to retarded larval development by increasing the overall feeding timespan. Using our machine learning algorithm, we demonstrate a novel method for detecting behaviours in an intact hive that can be applied in a versatile manner to conduct impact analyses of chemicals, pests and other stressors.
Connectomic analysis of apical dendrite innervation in pyramidal neurons of mouse cerebral cortex
(2020)
The central goal of this study was to generate synapse-resolution maps of local and long-range innervation on apical dendrites (AD) in mouse cerebral cortex. We used three-dimensional electron microscopy (3D-EM) to first measure the cell-type specific balance in the excitatory and inhibitory input on ADs. Further, we found two inhibitory axon populations with preference for apical dendrites originating from layer 2 and 3/5. Additionally, we used a combination of large-scale volumetric light and electron microscopy to investigate the innervation preference of long-range cortical projections onto ADs. To generate such large-scale 3D-EM datasets, we also developed a software package to automate aberration adjustment.
The balance of excitation and inhibition defines the computational properties of neurons. We, therefore, generated 6 datasets and annotated 26,548 excitatory and inhibitory synapses to map the relative inhibitory strength on the AD of pyramidal neurons in layers 1 and 2 (L1 and 2) of the cortex. We found consistent and cell-type specific patterns of inhibitory strength along the apical dendrite of L2-5 pyramidal neurons in primary somatosensory (S1), secondary visual (V2), posterior parietal (PPC) and anterior cingulate (ACC) cortices. L2 and L5 pyramidal neurons had inhibitory hot-zones at their main bifurcation and distal apical dendrite tuft, respectively. In contrast, L3 neurons had a baseline (~10%) level of inhibition along their apical dendrite. As controls, we quantified the effect of synapse strength (size), dendrite diameter, AD classification and synapse identification methods on the cell-type specific synapse densities. To classify L5 pyramidal subtypes, we performed hierarchical clustering using morphological properties that were described to differentiate slender- and thick-tufted L5 neurons.
We also investigated the distance to soma as a predictor of fractional inhibition around the main bifurcation of apical dendrites. Interestingly, we found a strong exponential relationship that was absent in density of either synapse type. This suggests a distance dependent control mechanism designed specifically for the balance (in synapse numbers) of excitation and inhibition.
Next, we focused on the inhibitory innervation preference for apical dendrite of pyramidal neuron. We, therefore, annotated 5,448 output synapses of AD-targeting inhibitory axons and found two populations specific for either L2 or L3/5 apical dendrites. Together with previous findings on preferential innervation of sub-cellular structures by inhibitory axons, this suggests two distinct inhibitory circuits for control of AD activity in L2 vs. deep-layer pyramidal neurons. This innervation preference was surprisingly consistent across S1, V2, PPC and ACC cortices.
3D-EM data acquisition is a laborious process that is made easier and more popular everyday by technical progress in the laboratory and industrial settings. To make data acquisition robust using our custom-built 3D-EM microscopes, an automatic aberration software was implemented to adjust the objective lens and the stigmators of the electron microscope. This method was used in multiple month-long experiments across 2 microscopes and 10 datasets. The aberration adjustment used the reduction in image details (high-frequency elements) to estimate the level of deviation from optimal focus and stigmator parameters. However, large objects in EM micrographs such as blood vessel and nuclei cross-sections generated anomalous results. We, therefore, added image processing routines based on edge detection combined with morphological operations to exclude such large objects.
Finally, we performed a correlative three-dimensional (3D) light (LM) and electron (EM) microscopy experiment to map the long-range primary visual (V1) and secondary motor (M2) cortical input to ADs in layer 1 of PPC using the “FluoEM” approach. This method allows for identification of the long-range source of projection axons in EM volumes without the need for EM-dense label conversion or heat-induced markings. The long-range source of an axon in EM is identified based on the fluorescent protein that is expressed in its LM counterpart. In comparison to M2 input, Long-range axons from V1 had a higher tendency to target L3 pyramidal neurons in PPC according to our preliminary analysis. In combination with the difference observed in the synapse composition of L2 and L3 apical dendrites, this suggests the need for separate functional and structural analysis of L2 and 3 pyramidal neurons.
Elevated tumor interstitial fluid pressure (TIFP) is a characteristic of most solid tumors. Clinically, TIFP may hamper the uptake of chemotherapeutic drugs into the tumor tissue reducing their therapeutic efficacy. In this study, a means of modulating TIFP to increase the flux of macromolecules into tumor tissue is presented, which is based on the rationale that elevated plasma colloid osmotic pressure (COP) pulls water from tumor interstitium lowering the TIFP. Concentrated human serum albumin: (20% HSA), used as an agent to enhance COP, reduced the TIFP time-dependently from 8 to 2 mm Hg in human tumor xenograft models bearing A431 epidermoid vulva carcinomas. To evaluate whether this reduction facilitates the uptake of macromolecules, the intratumoral distribution of fluorescently conjugated dextrans (2.5 mg/ml) and cetuximab (2.0 mg/ml) was probed using novel time domain nearinfrared fluorescence imaging. This method permitted discrimination and semiquantification of tumor-accumulated conjugate from background and unspecific probe fluorescence. The coadministration of 20% HSA together with either dextrans or cetuximab was found to lower the TIFP significantly and increase the concentration of the substances within the tumor tissue in comparison to control tumors. Furthermore, combined administration of 20%HSA plus cetuximab reduced the tumor growth significantly in comparison to standard cetuximab treatment. These data demonstrate that increased COP lowers the TIFP within hours and increases the uptake of therapeutic macromolecules into the tumor interstitium leading to reduced tumor growth. This model represents a novel approach to facilitate the delivery of therapeutics into tumor tissue, particularly monoclonal antibodies.
Durch natürliche Selektion werden Funktionen, die dem Überleben und dem Fortpflanzungserfolg eines Organismus dienen, optimiert. Da die Struktur eines Organs dessen Funktion und umgekehrt die Funktion eines Organs dessen Struktur bestimmt, kann durch das Studium der Morphologie die Funktionsweise von Organen verstanden werden. Trotz des umfangreichen Wissens über die Struktur von Nervensystemen sowohl auf mikro- als auch auf makroskopischer Ebene, ist es weiterhin unklar, wie Bewusstsein und ein kohärentes Abbild der Umwelt im Gehirn erzeugt werden. Der Grund hierfür ist vor allem die gewaltige Komplexität neuronaler Netzwerke, die unmöglich geistig erfasst werden können. Eine Möglichkeit, das Gehirn ohne das detaillierte Wissen über all seine Bestandteile zu verstehen, bietet das Studium von Optimierungsprinzipien und deren Anwendung in theoretischen Modellen. So wie eingangs erwähnt die Funktion von Organen durch natürliche Selektion optimiert wird, sollte auch die Funktion neuronaler Netzwerke optimiert werden und neuronale Netzwerke sollten entsprechend solcher Optimierungsprinzipien aufgebaut sein. Ein wichtiges Prinzip, das essenziell für die Effizienz neuronaler Netzwerke ist, ist die Minimierung der Verbindungslänge zwischen Neuronen. Basierend auf diesem Prinzip wurde im Rahmen dieser Dissertation eine algorithmische Methode etabliert, die es ermöglicht Vorhersagen der relativen Position von Neuronen anhand ihrer Verbindungen zu treffen. Diese neuronale Platzierungsmethode beruht darauf, dass Neuronen mit ähnlicher Verbindungsnachbarschaft näher zueinander platziert werden als zu Neuronen mit weniger ähnlichen Verbindungsnachbarn, wodurch die durchschnittliche Verbindungslänge minimiert wird. Nach der Etablierung dieser Methode, wurde diese benutzt um Modelle zu erstellen, die es ermöglichen die Entstehung neuronaler Karten und kortikaler Faltungen im Zusammenhang mit der Konnektivität und der Anzahl der Neuronen zu untersuchen.
Neuronale Karten sind geordnete Muster auf der Oberfläche des Kortex, die durch die präferierte Aktivität einzelner Neuronen in Antwort auf Stimuli einer Modalität beobachtet werden können. Im visuellen Kortex existieren sogar mehrere Karten, je nachdem welche Qualität visueller Stimuli man betrachtet. Abhängig von der Präferenz für einen Sehwinkel, ein stimuliertes Auge oder der Orientierung eines Balken-Stimulus, können retinotopische Karten, Karten mit streifenartigen Mustern oder Karten mit sogenannten „Pinwheel“-Strukturen beobachtet werden. Pinwheels sind periodische Strukturen, die sichtbar werden indem man die Orientierungspräferenz von Neuronen für die spezifische Orientierung eines Balken-Stimulus mit der entsprechenden Farbe des Farbkreises visualisiert. Da diese Strukturen eine Ähnlichkeit mit bunten Windrädern haben, werde sie als Pinwheels bezeichnet. Die in dieser Dissertation erstellten Modelle sagen vorher, dass die Entstehung strukturierter neuronaler Karten im Allgemeinen von der Anzahl der Neuronen abhängt. In der Tat könnte diese Abhängigkeit auch für neuronale Karten im Kortex gelten. Während strukturierte Karten im visuellen Kortex in verschiedenen Säugerordnungen wie Primaten, Karnivoren und Huftieren existieren, sind sie in kleinen Nagern mit weniger Neuronen nicht vorhanden, trotz ähnlicher Verbindungsspezifizität. Folglich müssen Unterschiede in der Struktur neuronaler Karten im Kortex nicht zwangsläufig mit einer unterschiedlichen Funktionsweise zusammenhängen, sondern könnten auch durch allgemeine Optimierungsprinzipien beim Aufbau neuronaler Netzwerke bedingt werden. Eine weitere Gemeinsamkeit zwischen verschiedenen Säugetierordnungen ist, dass die relative Dichte der Pinwheels ziemlich genau bei der Zahl Pi liegt. Entsprechend der Ergebnisse dieser Dissertation könnte dies dadurch erklärt werden, dass für neuronale Karten ähnlicher Struktur die Anzahl der Neuronen pro Pinwheel relativ konstant ist. Unterschiede in der räumlichen Dichte der Pinwheels könnten dann einfach durch Unterschiede in der Dichte der Neuronen erklärt werden.
Neben den Modellen für neuronale Karten wurde im Rahmen dieser Dissertation auch ein Modell kortikaler Faltungen mit derselben neuronalen Platzierungsmethode erstellt. Die Existenz kortikaler Faltungen wird gemeinhin damit erklärt, dass der Kortex ohne Faltungen wegen seiner verhältnismäßig großen Oberfläche nicht in den Schädel gepackt werden könnte. Allerdings haben Experimente gezeigt, dass die Faltungen nicht durch eine Restriktion des wachsenden Kortex an der Schädeloberfläche entstehen, da auch mit mehr Platz für die Expansion des Kortex die gleichen Faltungsmuster exprimiert werden. Interessanterweise entstehen die kortikalen Faltungen erst, wenn die Proliferation der Neuronen während der Entwicklung größtenteils abgeschlossen ist und die Neuronen anfangen ihre Verbindungen auszubilden. Um kortikale Faltungen basierend auf der Konnektivität zwischen Neuronen im Modell vorherzusagen, genügt es das allgemeine Muster einer starken lokalen, aber schwachen globalen Konnektivität zwischen Neuronen nachzubilden. Abhängig von Variationen dieser Konnektivität, der Anzahl der kortikalen Kolumnen und der Neuronenanzahl innerhalb dieser Kolumnen, können im Modell viele Eigenschaften kortikaler Faltungsmuster in Säugetieren vorhergesagt werden. Ähnlich wie in Säugetieren ist der Faltungsgrad der vom Modell vorhergesagt wird von dem Verhältnis zwischen Parametern, die die Größe und Dicke des Kortex beschreiben, abhängig. Dementsprechend werden mehr und mehr Faltungen mit steigender Anzahl der Kolumnen, aber gleicher Anzahl von Neuronen pro Kolumne vorhergesagt. Wie in Säugetieren entstehen dabei auch die größeren primären Faltungen zuerst bevor es innerhalb der größeren Faltungen zu kleineren Faltungen höherer Ordnung kommt. Neben der Abhängigkeit des Faltungsgrads von der Größe des Kortex können Variationen in der Konnektivität erklären, wie es einerseits zu stereotypischen Faltungsmustern kommen kann, aber andererseits auch warum der Faltungsgrad zwischen verschiedenen Säugerordnungen unterschiedlich mit der Größe des Kortex skaliert. Letztlich könnten pathologische Veränderungen der Konnektivität zu den entsprechenden Änderungen im Faltungsmuster führen.
Insgesamt wurde in dieser Arbeit gezeigt, dass mittels einfacher Prinzipien, die die Verbindung zwischen Neuronen und deren relative Position zueinander beschreiben, komplexe neuroanatomische Strukturen vorhergesagt werden können. Da mit derselben Methode zur neuronalen Platzierung sowohl neuronale Karten als auch kortikalen Faltungen, also sehr unterschiedliche Strukturen vorhergesagt werden konnten, stellt sich die Frage, ob diese Strukturen durch einen gemeinsamen biologischen Mechanismus entstehen. Neuronale Zugkräfte sind ein möglicher Mechanismus, der die Entstehung kortikaler Faltungen erklären könnte. Auch wenn es eher unwahrscheinlich ist, dass die Entstehung neuronaler Karten von Zugkräften zwischen Neuronen abhängt, kann es nicht vollständig ausgeschlossen werden. Ob solche Kräfte an der Selbstorganisation neuronaler Netzwerke beteiligt sein könnten, ist eine interessante Fragestellung für zukünftige empirische Studien.
Coagulation factor XIII (FXIII) is a plasma-circulating heterotetrameric pro-transglutaminase complex that is composed of two catalytic FXIII-A and two protective/regulatory FXIII-B subunits. FXIII acts by forming covalent cross-links within a preformed fibrin clots to prevent its premature fibrinolysis. The FXIII-A subunit is known to have pleiotropic roles outside coagulation, but the FXIII-B subunit is a relatively unexplored entity, both structurally as well as functionally. Its discovered roles so far are limited to that of the carrier/regulatory protein of its partner FXIII-A subunit. In the present study, we have explored the co-presence of protein excipients in commercial FXIII plasma concentrate FibrogamminP by combination of protein purification and mass spectrometry-based verification. Complement factor H was one of the co-excipients observed in this analysis. This was followed by performing pull down assays from plasma in order to detect the putative novel interacting partners for the FXIII-B subunit. Complement system proteins, like complement C3 and complement C1q, were amongst the proteins that were pulled down. The only protein that was observed in both experimental set ups was alpha-2-macroglobulin, which might therefore be a putative interacting partner of the FXIII/FXIII-B subunit. Future functional investigations will be needed to understand the physiological significance of this association.
Constitutive Wnt activation upon loss of Adenoma polyposis coli (APC) acts as main driver of colorectal cancer (CRC). Targeting Wnt signaling has proven difficult because the pathway is crucial for homeostasis and stem cell renewal. To distinguish oncogenic from physiological Wnt activity, we have performed transcriptome and proteome profiling in isogenic human colon organoids. Culture in the presence or absence of exogenous ligand allowed us to discriminate receptor-mediated signaling from the effects of CRISPR/Cas9-induced APC loss. We could catalog two nonoverlapping molecular signatures that were stable at distinct levels of stimulation. Newly identified markers for normal stem/progenitor cells and adenomas were validated by immunohistochemistry and flow cytometry. We found that oncogenic Wnt signals are associated with good prognosis in tumors of the consensus molecular subtype 2 (CMS2). In contrast, receptor-mediated signaling was linked to CMS4 tumors and poor prognosis. Together, our data represent a valuable resource for biomarkers that allow more precise stratification of Wnt responses in CRC.
The transition from local to global patterns governs the differentiation of mouse blastocysts
(2020)
During mammalian blastocyst development, inner cell mass (ICM) cells differentiate into epiblast (Epi) or primitive endoderm (PrE). These two fates are characterized by the expression of the transcription factors NANOG and GATA6, respectively. Here, we investigate the spatio-temporal distribution of NANOG and GATA6 expressing cells in the ICM of the mouse blastocysts with quantitative three-dimensional single cell-based neighbourhood analyses. We define the cell neighbourhood by local features, which include the expression levels of both fate markers expressed in each cell and its neighbours, and the number of neighbouring cells. We further include the position of a cell relative to the centre of the ICM as a global positional feature. Our analyses reveal a local three-dimensional pattern that is already present in early blastocysts: 1) Cells expressing the highest NANOG levels are surrounded by approximately nine neighbours, while 2) cells expressing GATA6 cluster according to their GATA6 levels. This local pattern evolves into a global pattern in the ICM that starts to emerge in mid blastocysts. We show that FGF/MAPK signalling is involved in the three-dimensional distribution of the cells and, using a mutant background, we further show that the GATA6 neighbourhood is regulated by NANOG. Our quantitative study suggests that the three-dimensional cell neighbourhood plays a role in Epi and PrE precursor specification. Our results highlight the importance of analysing the three-dimensional cell neighbourhood while investigating cell fate decisions during early mouse embryonic development.
Wolves (Canis lupus) are currently showing a remarkable comeback in the highly frag-mented cultural landscapes of Germany. We here show that wolf numbers increasedexponentially between 2000 and 2015 with an annual increase of about 36%. Wedemonstrate that the first territories in each newly colonized region were establishedover long distances from the nearest known reproducing pack on active militarytraining areas (MTAs). We show that MTAs, rather than protected areas, served asstepping-stones for the recolonization of Germany facilitating subsequent spreadingof wolf territories in the surrounding landscape. We did not find any significant differ-ence between MTAs and protected areas with regard to habitat. One possible reasonfor the importance of MTAs may be their lower anthropogenic mortality rates com-pared to protected and other areas. To our knowledge, this is the first documented casewhere MTAs facilitate the recolonization of an endangered species across large areas.