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Institute
- Institut für Biochemie und Biologie (48) (remove)
For the elucidation of the dynamics of signal transduction processes that are induced by cellular interactions, defined events along the signal transduction cascade and subsequent activation steps have to be analyzed and then also correlated with each other. This cannot be achieved by ensemble measurements because averaging biological data ignores the variability in timing and response patterns of individual cells and leads to highly blurred results. Instead, only a multi-parameter analysis at a single-cell level is able to exploit the information that is crucially needed for deducing the signaling pathways involved. The aim of this work was to develop a process line that allows the initiation of cell-cell or cell-particle interactions while at the same time the induced cellular reactions can be analyzed at various stages along the signal transduction cascade and correlated with each other. As this approach requires the gentle management of individually addressable cells, a dielectrophoresis (DEP)-based microfluidic system was employed that provides the manipulation of microscale objects with very high spatiotemporal precision and without the need of contacting the cell membrane. The system offers a high potential for automation and parallelization. This is essential for achieving a high level of robustness and reproducibility, which are key requirements in order to qualify this approach for a biomedical application. As an example process for intercellular communication, T cell activation has been chosen. The activation of the single T cells was triggered by contacting them individually with microbeads that were coated with antibodies directed against specific cell surface proteins, like the T cell receptor-associated kinase CD3 and the costimulatory molecule CD28 (CD; cluster of differentiation). The stimulation of the cells with the functionalized beads led to a rapid rise of their cytosolic Ca2+ concentration which was analyzed by a dual-wavelength ratiometric fluorescence measurement of the Ca2+-sensitive dye Fura-2. After Ca2+ imaging, the cells were isolated individually from the microfluidic system and cultivated further. Cell division and expression of the marker molecule CD69 as a late activation event of great significance were analyzed the following day and correlated with the previously recorded Ca2+ traces for each individual cell. It turned out such that the temporal profile of the Ca2+ traces between both activated and non-activated cells as well as dividing and non-dividing cells differed significantly. This shows that the pattern of Ca2+ signals in T cells can provide early information about a later reaction of the cell. As isolated cells are highly delicate objects, a precondition for these experiments was the successful adaptation of the system to maintain the vitality of single cells during and after manipulation. In this context, the influences of the microfluidic environment as well as the applied electric fields on the vitality of the cells and the cytosolic Ca2+ concentration as crucially important physiological parameters were thoroughly investigated. While a short-term DEP manipulation did not affect the vitality of the cells, they showed irregular Ca2+ transients upon exposure to the DEP field only. The rate and the strength of these Ca2+ signals depended on exposure time, electric field strength and field frequency. By minimizing their occurrence rate, experimental conditions were identified that caused the least interference with the physiology of the cell. The possibility to precisely control the exact time point of stimulus application, to simultaneously analyze short-term reactions and to correlate them with later events of the signal transduction cascade on the level of individual cells makes this approach unique among previously described applications and offers new possibilities to unravel the mechanisms underlying intercellular communication.
Background: Multidirectional interactions in social networks can have a profound effect on mate choice behavior; e.g., Poecilia mexicana males show weaker expression of mating preferences when being observed by a rival. This may be an adaptation to reduce sperm competition risk, which arises because commonly preferred female phenotypes will receive attention also from surrounding males, and/or because other males can copy the focal male's mate choice. Do P. mexicana males indeed respond to perceived sperm competition risk? We gave males a choice between two females and repeated the tests under one of the following conditions: (1) an empty transparent cylinder was presented (control); (2) another ("audience") male inside the cylinder observed the focal male throughout the 2nd part, or (3) the audience male was presented only before the tests, but could not eavesdrop during the actual choice tests (non-specific sperm competition risk treatments); (4) the focal male could see a rival male interact sexually with the previously preferred, or (5) with the non-preferred female before the 2nd part of the tests (specific sperm competition risk treatments). Results: The strength of individual male preferences declined slightly also during the control treatment (1). However, this decrease was more than two-fold stronger in audience treatment (2), i.e., with non-specific sperm competition risk including the possibility for visual eavesdropping by the audience male. No audience effect was found in treatments (3) and (5), but a weak effect was also observed when the focal male had seen the previously preferred female sexually interact with a rival male (treatment 4; specific sperm competition risk). Conclusion: When comparing the two 'non-specific sperm competition risk' treatments, a very strong effect was found only when the audience male could actually observe the focal male during mate choice [treatment (2)]. This suggests that focal males indeed attempt to conceal their mating preferences so as to prevent surrounding males from copying their mate choice. When there is no potential for eavesdropping [treatment (3)], non-specific specific sperm competition risk seems to play a minor or no role. Our results also show that P. mexicana males tend to share their mating effort more equally among females when the resource value of their previously preferred mate decreases after mating with a rival male (perceived specific sperm competition risk), but this effect is comparatively weak.
Ein genereller Ansatz zur Charakterisierung von biologischen Systemen bietet die Untersuchung des Metaboloms, dessen Analyse als „Metabolomics“ bezeichnet wird. “Omics”- Technologien haben das Ziel, ohne Selektionskriterien möglichst alle Bestandteile einer biologischen Probe zu detektieren (identifizieren und quantifizieren), um daraus Rückschlüsse auf nicht vorhersehbare und somit neuartige Korrelationen in biologischen Systemen zu ziehen. Ein zentrales Dogma in der Biologie besteht in der Kausalität zwischen Gen – Enzym – Metabolite. Perturbationen auf einer Ebene rufen systemische Antworten hervor, die in einem veränderten Phänotyp münden können. Metabolite sind die Endprodukte von zellulären regulatorischen Prozessen, deren Abundanz durch die Resonanz auf genetische Modifikationen oder Umwelteinflüsse zurückzuführen ist. Zudem repräsentieren Metabolite ultimativ den Phänotyp eines Organismus und haben die Fähigkeit als Biomarker zu fungieren. Die integrale Analyse verschiedenster Stoffwechselwegen wie Krebszyklus, Pentosephosphatzyklus oder Calvinzyklus offeriert die Identifikation von metabolischen Mustern. In dieser Arbeit wurden sowohl das targeted Profiling via GC-TOF-MS als auch das untargeted Profiling via GC-TOF-MS und LC-FT-MS als analytische Strategien genutzt, um biologische Systeme anhand ihrer Metabolite zu charakterisieren und um physiologische Muster als Resonanz auf endogene oder exogene Stimuli zu erkennen. Dabei standen die metabolische, phänotypische und genotypische Plastizität von Pflanzen im Fokus der Untersuchungen. Metabolische Varianzen eines Phänotyps reflektieren die genotyp-abhängige Resonanz des Organismus auf umweltbedingte Parameter (abiotischer und biotischer Stress, Entwicklung) und können mit sensitiven Metabolite Profiling Methoden determiniert werden. Diese Anwendungen haben unter anderem auch zum Begriff des „Environmental Metabolomics“ geführt. In Kapitel 2 wurde der Einfluss biotischer Interaktionen von endophytischen Bakterien auf den Metabolismus von Pappelklonen untersucht; Kapitel 3 betrachtet die metabolische Plastizität von Pflanzen im Freiland auf veränderte biotische Interaktionsmuster (Konkurrenz/Diversität/Artenzusammensetzung); Abschließend wurde in Kapitel 4 der Einfluss von spezifischen genetischen Modifikationen an Peroxisomen und den daraus resultierenden veränderten metabolischen Fluss der Photorespiration dargestellt. Aufgrund der sensitiven Analyse- Technik konnten metabolische Phänotypen, die nicht zwingend in einen morphologischen Phänotyp mündeten, in drei biologischen Systemen identifiziert und in einen stoffwechselphysiologischen Kontext gestellt werden. Die drei untersuchten biologischen Systeme – in vitro- Pappeln, Grünland- Arten (Arrhenatherion-Gesellschaft) und der Modellorganismus (Arabidopsis) – belegten anschaulich die Plastizität des Metabolismus der Arten, welche durch endogene oder exogene Faktoren erzeugt wurden.
In den Chloroplasten von höheren Pflanzen sind die Galaktolipide Monogalaktosyldiacylglycerol (MGDG) und Digalaktosyldiacylglycerol (DGDG) die am weitesten verbreiteten Lipide. In dieser Forschungsarbeit wurde die Funktion der DGDG Synthase DGD1, und insbesondere die Funktion des N-terminalen Bereichs dieses Enzyms in der Modellpflanze Arabidopsis thaliana untersucht. Die Überexpression des N-terminalen Bereichs von DGD1 in WT-Col2 resultierte in einem reduzierten Wachstum, welches sich jedoch von der dgd1-1 Mutante unterschied. Dies legte bereits nahe, dass die Expression von N-DGD1 einen negativen Einfluss auf das Wachstum hat. Durch Studien in einem heterologen E.coli Expressionssystem konnte diese These bestätigt werden. Zellen, die ausschließlich N-DGD1 zusammen mit einer MGD Synthase aus Gurke exprimierten, waren im Wachstum stark beeinträchtigt. Nicht nur der N-terminale Bereich von DGD1, auch der N-terminale Bereich von MGD1 besitzt eine Funktion als Transitpeptid und ist somit ein wichtiger Faktor zur korrekten Lokalisierung des MGD1 Proteins. In dieser Arbeit ist es gelungen, ein Fusionskonstrukt aus N-MGD1 und DGD2 in die dgd1-1 Mutante zu transferieren und damit das reduzierte Wachstum zu komplementieren. Frühere Versuche, ein reduziertes dgd1-1 Wachstum mit DGD2 allein zu komplementieren, scheiterten. Somit gibt dies einen Hinweis darauf, dass N-MGD1 als Transitpeptid fungieren kann. Bindungsstudien zur Interaktion von DGD1 und N-DGD1 Protein zeigten, dass die polaren Lipide MGDG und DGDG in Wechselwirkung mit dem N-terminalen Bereich von DGD1 treten. Bis zum heutigen Zeitpunkt ist nicht erforscht, wie der Transport von DGDG und MGDG zwischen den Hüllmembranen des Chloroplasten erfolgt. Die in dieser Arbeit angefertigen Bindungsstudien konnten Hinweise darauf geben, dass N-DGD1 als eine Art „Antiporter“ fungiert, um MGDG und DGDG zwischen den Hüllmembranen zu transportieren. Weiterhin wurden Bindungsstudien zur Erforschung von Interaktionen der Glykosyltransferasen DGD1, DGD2, MGD1, MGD2 und MGD3 angefertigt. Dabei wurden Wechselwirkungen zwischen den Glykosyltransferasen DGD1, DGD2 und MGD2 detektiert. Interessant ist, dass Hinweise auf eine Dimerbildung bestimmter Enzyme gefunden wurden, so für DGD1 und MGD2. Ein weiterer Ansatz zur Erforschung von Wechselwirkungen von DGD1 Protein mit bis jetzt unbekannten Proteinen war die Expression von DGD1-StrepIITag und DGD1-CTAPTag Fusionsproteinen in dgd1-1 Mutanten. Es wurden für beide Tags transgene Linien generiert, die im Wachstum komplementiert waren und wildtypähnliche Mengen an DGDG akkumulierten. Die Expression der verschiedenen Tags in den Pflanzen war sehr unterschiedlich, wobei der DGD1-CTAP-Tag am stärksten exprimiert war. Mit Pflanzenmaterial dieser Linien kann nun eine Aufreinigung des getaggten Proteins und eventueller Interaktionspartner erfolgen.
Source, topography and excitatory effects of GABAergic innervation in cockroach salivary glands
(2009)
Cockroach salivary glands are innervated by dopaminergic and serotonergic neurons. Both transmitters elicit saliva secretion. We studied the distribution pattern of neurons containing gamma-aminobutyric acid ( GABA) and their physiological role. Immunofluorescence revealed a GABA-immunoreactive axon that originates within the subesophageal ganglion at the salivary neuron 2 (SN2) and this extends within the salivary duct nerve towards the salivary gland. GABA-positive fibers form a network on most acinar lobules and a dense plexus in the interior of a minor fraction of acinar lobules. Co-staining with anti-synapsin revealed that some putative GABAergic terminals seem to make pre-synaptic contacts with GABA-negative release sites. Many putative GABAergic release sites are at some distance from other synapses and at distance from the acinar tissue. Intracellular recordings from isolated salivary glands have revealed that GABA does not affect the basolateral membrane potential of the acinar cells directly. When applied during salivary duct nerve stimulation, GABA enhances the electrical response of the acinar cells and increases the rates of fluid and protein secretion. The effect on electrical cell responses is mimicked by the GABA(B) receptor agonists baclofen and SKF97541, and blocked by the GABAB receptor antagonists CGP52432 and CGP54626. These findings indicate that GABA has a modulatory role in the control of salivation, acting presynaptically on serotonergic and/or dopaminergic neurotransmission.
This work presents mathematical and computational approaches to cover various aspects of metabolic network modelling, especially regarding the limited availability of detailed kinetic knowledge on reaction rates. It is shown that precise mathematical formulations of problems are needed i) to find appropriate and, if possible, efficient algorithms to solve them, and ii) to determine the quality of the found approximate solutions. Furthermore, some means are introduced to gain insights on dynamic properties of metabolic networks either directly from the network structure or by additionally incorporating steady-state information. Finally, an approach to identify key reactions in a metabolic networks is introduced, which helps to develop simple yet useful kinetic models. The rise of novel techniques renders genome sequencing increasingly fast and cheap. In the near future, this will allow to analyze biological networks not only for species but also for individuals. Hence, automatic reconstruction of metabolic networks provides itself as a means for evaluating this huge amount of experimental data. A mathematical formulation as an optimization problem is presented, taking into account existing knowledge and experimental data as well as the probabilistic predictions of various bioinformatical methods. The reconstructed networks are optimized for having large connected components of high accuracy, hence avoiding fragmentation into small isolated subnetworks. The usefulness of this formalism is exemplified on the reconstruction of the sucrose biosynthesis pathway in Chlamydomonas reinhardtii. The problem is shown to be computationally demanding and therefore necessitates efficient approximation algorithms. The problem of minimal nutrient requirements for genome-scale metabolic networks is analyzed. Given a metabolic network and a set of target metabolites, the inverse scope problem has as it objective determining a minimal set of metabolites that have to be provided in order to produce the target metabolites. These target metabolites might stem from experimental measurements and therefore are known to be produced by the metabolic network under study, or are given as the desired end-products of a biotechological application. The inverse scope problem is shown to be computationally hard to solve. However, I assume that the complexity strongly depends on the number of directed cycles within the metabolic network. This might guide the development of efficient approximation algorithms. Assuming mass-action kinetics, chemical reaction network theory (CRNT) allows for eliciting conclusions about multistability directly from the structure of metabolic networks. Although CRNT is based on mass-action kinetics originally, it is shown how to incorporate further reaction schemes by emulating molecular enzyme mechanisms. CRNT is used to compare several models of the Calvin cycle, which differ in size and level of abstraction. Definite results are obtained for small models, but the available set of theorems and algorithms provided by CRNT can not be applied to larger models due to the computational limitations of the currently available implementations of the provided algorithms. Given the stoichiometry of a metabolic network together with steady-state fluxes and concentrations, structural kinetic modelling allows to analyze the dynamic behavior of the metabolic network, even if the explicit rate equations are not known. In particular, this sampling approach is used to study the stabilizing effects of allosteric regulation in a model of human erythrocytes. Furthermore, the reactions of that model can be ranked according to their impact on stability of the steady state. The most important reactions in that respect are identified as hexokinase, phosphofructokinase and pyruvate kinase, which are known to be highly regulated and almost irreversible. Kinetic modelling approaches using standard rate equations are compared and evaluated against reference models for erythrocytes and hepatocytes. The results from this simplified kinetic models can simulate acceptably the temporal behavior for small changes around a given steady state, but fail to capture important characteristics for larger changes. The aforementioned approach to rank reactions according to their influence on stability is used to identify a small number of key reactions. These reactions are modelled in detail, including knowledge about allosteric regulation, while all other reactions were still described by simplified reaction rates. These so-called hybrid models can capture the characteristics of the reference models significantly better than the simplified models alone. The resulting hybrid models might serve as a good starting point for kinetic modelling of genome-scale metabolic networks, as they provide reasonable results in the absence of experimental data, regarding, for instance, allosteric regulations, for a vast majority of enzymatic reactions.
Dispersal behavior plays an important role for the geographical distribution and population structure of any given species. Individual’s fitness, reproductive and competitive ability, and dispersal behavior can be determined by the age of the individual. Age-dependent as well as density-dependent dispersal patterns are common in many bird species. In this thesis, I first present age-dependent breeding ability and natal site fidelity in white storks (Ciconia ciconia); migratory birds breeding in large parts of Europe. I predicted that both the proportion of breeding birds and natal site fidelity increase with the age. After the seventies of the last century, following a steep population decline, a recovery of the white stork population has been observed in many regions in Europe. Increasing population density in the white stork population in Eastern Germany especially after 1983 allowed examining density- as well as age-dependent breeding dispersal patterns. Therefore second, I present whether: young birds show more often and longer breeding dispersal than old birds, and frequency of dispersal events increase with the population density increase, especially in the young storks. Third, I present age- and density-dependent dispersal direction preferences in the give population. I asked whether and how the major spring migration direction interacts with dispersal directions of white storks: in different age, and under different population densities. The proportion of breeding individuals increased in the first 22 years of life and then decreased suggesting, the senescent decay in aging storks. Young storks were more faithful to their natal sites than old storks probably due to their innate migratory direction and distance. Young storks dispersed more frequently than old storks in general, but not for longer distance. Proportion of dispersing individuals increased significantly with increasing population densities indicating, density- dependent dispersal behavior in white storks. Moreover, the finding of a significant interaction effects between the age of dispersing birds and year (1980–2006) suggesting, older birds dispersed more from their previous nest sites over time due to increased competition. Both young and old storks dispersed along their spring migration direction; however, directional preferences were different in young storks and old storks. Young storks tended to settle down before reaching their previous nest sites (leading to the south-eastward dispersal) while old birds tended to keep migrating along the migration direction after reaching their previous nest sites (leading to the north-westward dispersal). Cues triggering dispersal events may be age-dependent. Changes in the dispersal direction over time were observed. Dispersal direction became obscured during the second half of the observation period (1993–2006). Increase in competition may affect dispersal behavior in storks. I discuss the potential role of: age for the observed age-dependent dispersal behavior, and competition for the density dependent dispersal behavior. This Ph.D. thesis contributes significantly to the understanding of population structure and geographical distribution of white storks. Moreover, presented age- and density (competition)-dependent dispersal behavior helps understanding underpinning mechanisms of dispersal behavior in bird species.
To date, positive relationships between diversity and community biomass have been mainly found, especially in terrestrial ecosystems due to the complementarity and/or dominance effect. In this thesis, the effect of diversity on the performance of terrestrial plant and phytoplankton communities was investigated to get a better understanding of the underlying mechanisms in the biodiversity-ecosystem functioning context. In a large grassland biodiversity experiment, the Jena Experiment, the effect of community diversity on the individual plant performance was investigated for all species. The species pool consisted of 60 plant species belonging to 4 functional groups (grasses, small herbs, tall herbs, legumes). The experiment included 82 large plots which differed in species richness (1-60), functional richness (1-4), and community composition. Individual plant height increased with increasing species richness suggesting stronger competition for light in more diverse communities. The aboveground biomass of the individual plants decreased with increasing species richness indicating stronger competition in more species-rich communities. Moreover, in more species-rich communities plant individuals were less likely to flower out and had fewer inflorescences which may be resulting from a trade-off between resource allocation to vegetative height growth and to reproduction. Responses to changing species richness differed strongly between functional groups and between species of similar functional groups. To conclude, individual plant performance can largely depend on the diversity of the surrounding community. Positive diversity effects on biomass have been mainly found for substrate-bound plant communities. Therefore, the effect of diversity on the community biomass of phytoplankton was studied using microcosms. The communities consisted of 8 algal species belonging to 4 functional groups (green algae, diatoms, cyanobacteria, phytoflagellates) and were grown at different functional richness levels (1-4). Functional richness and community biomass were negatively correlated and all community biomasses were lower than their average monoculture biomasses of the component species, revealing community underyielding. This was mainly caused by the dominance of a fast-growing species which built up low biomasses in monoculture and mixture. A trade-off between biomass and growth rate in monoculture was found for all species, and thus fast-growing species built up low biomasses and slow-growing species reached high biomasses in monoculture. As the fast-growing, low-productive species monopolised nutrients in the mixtures, they became the dominant species resulting in the observed community underyielding. These findings suggest community overyielding when biomasses of the component species are positively correlated with their growth rates in monocultures. Aquatic microcosm experiments with an extensive design were performed to get a broad range of community responses. The phytoplankton communities differed in species diversity (1, 2, 4, 8, and 12), functional diversity (1, 2, 3, and 4) and community composition. The species/functional diversity positively affected community biomass, revealing overyielding in most of the communities. This was mainly caused by a positive complementarity effect which can be attributed to resource use complementarity and/or facilitative interaction among the species. Overyielding of more diverse communities occurred when the biomass of the component species was correlated positively with their growth rates in monoculture and thus, fast-growing and high-productive species were dominant in mixtures. This and the study mentioned above generated an emergent pattern for community overyielding and underyielding from the relationship between biomass and growth rate in monoculture as long as the initial community structure prevailed. Invasive species can largely affect ecosystem processes, whereas invasion is also influenced by diversity. To date, studies revealed negative and positive diversity effects on the invasibility (susceptibility of a community to the invasion by new species). The effect of productivity (nutrient concentration ranging from 10 to 640 µg P L-1), herbivory (presence/absence of the generalist feeder) and diversity (3, 4, 6 species were randomly chosen from the resident species pool) on the invasibility of phytoplankton communities consisting of 10 resident species was investigated using semi-continuous microcosms. Two functionally diverse invaders were chosen: the filamentous and less-edible cynaobacterium C. raciborskii and the unicellular and well-edible phytoflagellate Cryptomonas sp. The phytoflagellate indirectly benefited from grazing pressure of herbivores whereas C. raciborskii suffered more from it. Diversity did not affect the invasibility of the phytoplankton communities. Rather, it was strongly influenced by the functional traits of the resident and invasive species.
Das serotonerge System besitzt sowohl bei Invertebraten als auch bei Vertebraten eine große Bedeutung für die Kontrolle und Modulation vieler physiologischer Prozesse und Verhaltensleistungen. Bei der Honigbiene Apis mellifera spielt Serotonin (5-Hydroxytryptamin, 5-HT) eine wichtige Rolle bei der Arbeitsteilung und dem Lernen. Die 5-HT-Rezeptoren, die überwiegend zur Familie der G-Protein gekoppelten Rezeptoren (GPCRs) gehören, besitzen eine Schlüsselstellung für das Verständnis der molekularen Mechanismen der serotonergen Signalweiterleitung. Ziel dieser Arbeit war es, 5-HT-Rezeptoren der Honigbiene zu charakterisieren. Dazu zählt die Identifizierung der molekularen Struktur, die Ermittlung der intrazellulären Signalwege, die Erstellung von pharmakologischen Profilen, die Ermittlung der Expressionsmuster und die Ermittlung der physiologischen Funktionen der Rezeptoren. Mit Hilfe der Informationen aus dem Honey Bee Genome Project, konnten drei RezeptorcDNAs kloniert werden. Vergleiche der abgeleiteten Aminosäuresequenzen mit den Aminosäuresequenzen bereits charakterisierter Rezeptoren legten nahe, dass es sich dabei um einen 5-HT1- (Am5-HT1) und zwei 5-HT2-Rezeptoren (Am5-HT2α und Am5-HT2β) handelt. Die strukturelle Analyse der abgeleiteten Aminosäuresequenz dieser Rezeptoren postuliert das Vorhandensein der charakteristischen heptahelikalen Architektur von GPCRs und zeigt starkkonservierte Motive, die bedeutend für die Ligandenbindung, die Rezeptoraktivierung und die Kopplung an G-Proteine sind. Für die beiden 5 HT2-Rezeptoren konnte zudem alternatives Spleißen nachgewiesen werden. Mit den cDNAs des Am5-HT1- und des Am5-HT2α-Rezeptors wurden HEK293-Zellen stabil transfiziert und anschließend die Rezeptoren funktionell und pharmakologisch analysiert. Am5-HT1 hemmt bei Aktivierung abhängig von der 5-HT-Konzentration die cAMPProduktion.Die Substanzen 5-Methoxytryptamin (5-MT) und 5-Carboxamidotryptamin konnten als Agonisten identifiziert werden. Methiothepin dagegen blockiert die 5-HTWirkung vollständig. Prazosin und WAY100635 stellen partielle Antagonisten des Am5-HT1-Rezeptors dar. Der Am5-HT2_-Rezeptor stimuliert bei Aktivierung die Synthese des sekundären Botenstoffs Inositoltrisphosphat, was wiederum zu einer messbaren Erhöhung der intrazellulären Ca2+-Konzentration führt. 5-MT und 8-OH-DPAT zeigen eine deutliche agonistische Wirkung auf Am5-HT2α. Dagegen besitzen Clozapin, Methiothepin, Mianserin und Cyproheptadin die Fähigkeit, die 5-HT-Wirkung um 51-64 % zu vermindern. Die bereits erwähnte alternative Spleißvariante von Am5-HT2α wurde ebenfalls in HEK293-Zellen exprimiert und analysiert, scheint jedoch eigenständig nicht funktionell zu sein. Gegen die dritte cytoplasmatische Schleife (CPL3) wurde ein polyklonales Antiserum generiert. Dieses erkennt in Western-Blot-Analysen ein Protein mit einer Masse von ca. 50 kDa. Durch immunhistochemische Analysen am Bienengehirn wurde die Verteilung des Rezeptors genauer untersucht. Dabei zeigten die optischen Neuropile, besonders die Lamina und die Ocellarnerven, stets eine starke Markierung. Außerdem wird der Rezeptor in den α- und β-Loben sowie der Lippe, dem Basalring und dem Pedunculus der Pilzkörper exprimiert. Doppelmarkierungen zeigen stets eine enge Nachbarschaft von serotonergen Fasern und dem Am5-HT1-Rezeptor. Weiterhin konnte gezeigt werden, dass der Am5-HT1-Rezeptor sehr wahrscheinlich an der Regulation des phototaktischen Verhalten der Honigbiene beteiligt ist. Verfütterung von 5-HT hat eine deutlich negative Wirkung auf das phototaktischen Verhalten. Diese kann durch den Am5-HT1-Rezeptor-Agonisten 5-CT imitiert werden. Schließlich konnte gezeigt werden, dass der Am5-HT1-Antagonist Prazosin die 5-HT-Wirkung deutlich vermindern kann.
Arabidopsis thaliana HYL1 is a nuclear doublestranded RNA-binding protein involved in the maturation of pri-miRNAs. A quantitative real-time PCR platform for parallel quantification of 176 primiRNAs was used to reveal strong accumulation of 57 miRNA precursors in the hyl1 mutant that completely lacks HYL1 protein. This approach enabled us for the first time to pinpoint particular members of MIRNA family genes that require HYL1 activity for efficient maturation of their precursors. Moreover, the accumulation of miRNA precursors in the hyl1 mutant gave us the opportunity to carry out 3’ and 5’ RACE experiments which revealed that some of these precursors are of unexpected length. The alignment of HYL1- dependent miRNA precursors to A. thaliana genomic sequences indicated the presence of introns in 12 out of 20 genes studied. Some of the characterized intron-containing pri-miRNAs undergo alternative splicing such as exon skipping or usage of alternative 5’ splice sites suggesting that this process plays a role in the regulation of miRNA biogenesis. In the hyl1 mutant intron-containing pri-miRNAs accumulate alongside spliced primiRNAs suggesting the recruitment of HYL1 into the miRNA precursor maturation pathway before their splicing occurs.