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Institut
- Theodor-Boveri-Institut für Biowissenschaften (30) (entfernen)
In this thesis, synaptic transmission was studied electrophysiologically at an invertebrate model synapse, the neuromuscular junction of the Drosophila 3rd instar wandering larvae. In the first part, synaptic function is characterized at the neuromuscular junction in fly lines which are null mutants for the synaptic proteins “the synapse associated protein of 47 kDa” (Sap-47156), Synapsin (Syn97), the corresponding double mutant (Sap-47156, Syn97), a null mutant for an as yet uncharacterized Drosophila SR protein kinase, the Serine-Arginine protein kinase 3 (SRPK3), and the Löchrig (Loe) mutant which shows a strong neurodegenerative phenotype. Intracellular voltage recordings from larval body wall muscles 6 and 7 were performed to measure amplitude and frequency of spontaneous single vesicle fusion events (miniature excitatory junction potentials or mEJPs). Evoked excitatory junction potentials (eEJPs) at different frequencies and calcium concentrations were also measured to see if synaptic transmission was altered in mutants which lacked these synaptic proteins. In addition, structure and morphology of presynaptic boutons at the larval neuromuscular junction were examined immunohistochemically using monoclonal antibodies against different synaptic vesicle proteins (SAP-47, CSP, and Synapsin) as well as the active zone protein Bruchpilot. Synaptic physiology and morphology was found to be similar in all null mutant lines. However, Löchrig mutants displayed an elongated bouton morphology, a significant shift towards larger events in mEJP amplitude frequency histograms, and increased synaptic facilitation during a 10 Hz tetanus. These deficits suggest that Loe mutants may have a defect in some aspect of synaptic vesicle recycling. The second part of this thesis involved the electrophysiological characterization of heterologously expressed light activated proteins at the Drosophila neuromuscular junction. Channelrhodopsin-2 (ChR2), a light gated ion channel, and a photoactivated adenylate cyclase (PAC) were expressed in larval motor neurons using the UAS-Gal4 system. Single EJPs could be recorded from muscles 15, 16, and 17 when larva expressing ChR2 were illuminated with short (100 ms) light pulses, whereas long light pulses (10 seconds) resulted in trains of EJPs with a frequency of around 25 Hz. Larva expressing PAC in preparations where motor neurons were cut from the ventral ganglion displayed a significant increase in mEJP frequency after a 1 minute exposure to blue light. Evoked responses in low (.2 mM) calcium were also significantly increased when PAC was stimulated with blue light. When motor nerves were left intact, PAC stimulation resulted in light evoked EJPs in muscles 6 and 7 in a manner consistent with RP3 motor neuron activity. ChR2 and PAC are therefore useful and reliable tools for manipulating neuronal activity in vivo.
Past experience contributes to behavioural organization mainly via learning: Animals learn otherwise ordinary cues as predictors for biologically significant events. This thesis studies such predictive, associative learning, using the fruit fly Drosophila melanogaster. I ask two main questions, which complement each other: One deals with the processing of those cues that are to be learned as predictors for an important event; the other one deals with the processing of the important event itself, which is to be predicted. Do fruit flies learn about combinations of olfactory and visual cues? I probe larval as well as adult fruit flies for the learning about combinations of olfactory and visual cues, using a so called ‘biconditional discrimination’ task: During training, one odour is paired with reinforcement only in light, but not in darkness; the other odour in turn is reinforced only in darkness, but not in light. Thus, neither the odours nor the visual conditions alone predict reinforcement, only combinations of both do. I find no evidence that either larval or adult fruit flies were to solve such task, speaking against a cross-talk between olfactory and visual modalities. Previous studies however suggest such cross-talk. To reconcile these results, I suggest classifying different kinds of interaction between sensory modalities, according to their site along the sensory-motor continuum: I consider an interaction ‘truly’ cross-modal, if it is between the specific features of the stimuli. I consider an interaction ’amodal’ if it instead engages the behavioural tendencies or ‘values’ elicited by each stimulus. Such reasoning brings me to conclude that different behavioural tasks require different kinds of interaction between sensory modalities; whether a given kind of interaction will be found depends on the neuronal infrastructure, which is a function of the species and the developmental stage. Predictive learning of pain-relief in fruit flies Fruit flies build two opposing kinds of memory, based on an experience with electric shock: Those odours that precede shock during training are learned as predictors for punishment and are subsequently avoided; those odours that follow shock during training on the other hand are learned as signals for relief and are subsequently approached. I focus on such relief learning. I start with a detailed parametric analysis of relief learning, testing for reproducibility as well as effects of gender, repetition of training, odour identity, odour concentration and shock intensity. I also characterize how relief memories, once formed, decay. In addition, concerning the psychological mechanisms of relief learning, first, I show that relief learning establishes genuinely associative conditioned approach behaviour and second, I report that it is most likely not mediated by context associations. These results enable the following neurobiological analysis of relief learning; further, they will form in the future the basis for a mathematical model; finally, they will guide the researchers aiming at uncovering relief learning in other experimental systems. Next, I embark upon neurogenetic analysis of relief learning. First, I report that fruit flies mutant for the so called white gene build overall more ‘negative’ memories about an experience with electric shock. That is, in the white mutants, learning about the painful onset of shock is enhanced, whereas learning about the relieving offset of shock is diminished. As they are coherently affected, these two kinds of learning should be in a balance. The molecular mechanism of the effect of white on this balance remains unresolved. Finally, as a first step towards a neuronal circuit analysis of relief learning, I compare it to reward learning and punishment learning. I find that relief learning is distinct from both in terms of the requirement for biogenic amine signaling: Reward and punishment are respectively signalled by octopamine and dopamine, for relief learning, either of these seem dispensible. Further, I find no evidence for roles for two other biogenic amines, tyramine and serotonin in relief learning. Based on these findings I give directions for further research.
This work was aimed at experimentally studying whether climatic variables act as environmental cues for workers’ building behaviour in leaf-cutting ants of the genus Acromyrmex, and to what extent building responses account for the maintenance of nest climate in a proper range for the inhabiting colony. Specifically, this work presents independent analysis in different Acromyrmex species with disparate ecology and nesting habits, aimed at understanding to what extent: i) temperature and humidity act as cues for workers’ building behaviour, ii) inter- and intraspecific differences in the nesting habits observed in South American Acromyrmex are based on distinct building behaviours and on the variation in regional climate across continent, iii) differences in nest architecture account for the maintenance of nest climate in a proper range for colony members and, iv) climatic variables trigger building responses aimed at controlling short-term changes in nest climate. It is first experimentally shown that soil temperature acts as a cue for workers’ digging behaviour. Acromyrmex lundi workers were observed to respond to both soil temperature as well as its changes, and to decide accordingly where to start or whether to stop digging. The soil temperature range preferred by workers to dig, between 20°C and maximally 30.6°C, matches the range at which colony growth is expected to be maximized. Temperature-sensitive digging might therefore lead to the establishment of the fungus chambers in soil layers with a proper range of temperatures for colony growth. Based on that, it was hypothesized that nest depth in Acromyrmex largely depends on the depth at which this temperature range is located across the soil profile, i.e., the higher the temperature in the superficial soil layers, the deeper the nest location, since soil temperature decreases with increasing depth. A bibliographic survey on nesting habits of 21 South American Acromyrmex species confirmed that the warmer the soil temperature at 50 cm depth throughout the South American continent, the higher the number of species presenting subterranean nests, compared with those inhabiting superficial nests. Temperature-sensitive digging in Acromyrmex would therefore explain the geographical distribution of nesting habits observed for this genus in the South American continent, i.e., subterranean in the northern tropical regions, and superficial in the southern temperate ones. In addition, results showed that Acromyrmex colonies from temperate regions indeed achieve thermoregulatory benefits through the determination of nest depth based on thermoregulatory needs. In sympatrically-occurring colonies of the grass-cutting ant A. heyeri, temperature inside superficial thatched nests was higher, and more suitable for colony growth, than that inside subterranean nests. This temperature surplus was even higher in spring, at the time of production of sexual brood, than in winter or summer. It was demonstrated that such temperature surplus was brought about by the low thermal diffusivity of the nest thatch, which prevents diurnal nest overheating by the incoming solar radiation, and avoids losses of the accumulated daily heat into the cold air during night, thus leading to high average nest temperatures. Although highly advantageous for colonies in terms of nest temperature, the determination of nest depth based on thermoregulatory needs may differentially affect nest ventilation and humidity depending on how nest exposition influences the exchange of nest air with the outside air. For instance, colonies with a superficial nesting habit might benefit from improved nest ventilation, but be at risk of desiccation due to their exposition and the consequent humidity losses into the dry outside air. Results demonstrated that in two Acromyrmex species, short-term regulatory building responses triggered and spatially organized by climatic variables occur, and may counteract undesired changes in internal nest humidity. Workers of the thatching grass-cutting ant A. heyeri, for instance, closed a number of nest-thatch openings as a response to desiccation of the outside air, even at a nest temperature that otherwise triggered the response of opening them so as to reduce nest temperature. In the leaf-cutting ant A. ambiguus, the direction of the airflow inside nest tunnels was shown to act as a cue for spatially guiding the building behaviour of plugging nest entrances. However, workers only responded if the humidity content of the circulating air was low, trading therefore nest ventilation for humidity maintenance.
In this thesis, the development of a phylogenetic DNA microarray, the analysis of several gene expression microarray datasets and new approaches for improved data analysis and interpretation are described. In the first publication, the development and analysis of a phylogenetic microarray is presented. I could show that species detection with phylogenetic DNA microarrays can be significantly improved when the microarray data is analyzed with a linear regression modeling approach. Standard methods have so far relied on pure signal intensities of the array spots and a simple cutoff criterion was applied to call a species present or absent. This procedure is not applicable to very closely related species with high sequence similarity because cross-hybridization of non-target DNA renders species detection impossible based on signal intensities alone. By modeling hybridization and cross-hybridization with linear regression, as I have presented in this thesis, even species with a sequence similarity of 97% in the marker gene can be detected and distinguished from related species. Another advantage of the modeling approach over existing methods is that the model also performs well on mixtures of different species. In principle, also quantitative predictions can be made. To make better use of the large amounts of microarray data stored in public databases, meta-analysis approaches need to be developed. In the second publication, an explorative meta-analysis exemplified on Arabidopsis thaliana gene expression datasets is presented. Integrating datasets studying effects such as the influence of plant hormones, pathogens and different mutations on gene expression levels, clusters of similarly treated datasets could be found. From the clusters of pathogen-treated and indole-3-acetic acid (IAA) treated datasets, representative genes were selected which pointed to functions which had been associated with pathogen attack or IAA effects previously. Additionally, hypotheses about the functions of so far uncharacterized genes could be set up. Thus, this kind of meta-analysis could be used to propose gene functions and their regulation under different conditions. In this work, also primary data analysis of Arabidopsis thaliana datasets is presented. In the third publication, an experiment which was conducted to find out if microwave irradiation has an effect on the gene expression of a plant cell culture is described. During the first steps, the data analysis was carried out blinded and exploratory analysis methods were applied to find out if the irradiation had an effect on gene expression of plant cells. Small but statistically significant changes in a few genes were found and could be experimentally confirmed. From the functions of the regulated genes and a meta-analysis with publicly available microarray data, it could be suspected that the plant cell culture somehow perceived the irradiation as energy, similar to perceiving light rays. The fourth publication describes the functional analysis of another Arabidopsis thaliana gene expression dataset. The gene expression data of the plant tumor dataset pointed to a switch from a mainly aerobic, auxotrophic to an anaerobic and heterotrophic metabolism in the plant tumor. Genes involved in photosynthesis were found to be repressed in tumors; genes of amino acid and lipid metabolism, cell wall and solute transporters were regulated in a way that sustains tumor growth and development. Furthermore, in the fifth publication, GEPAT (Genome Expression Pathway Analysis Tool), a tool for the analysis and integration of microarray data with other data types, is described. It consists of a web application and database which allows comfortable data upload and data analysis. In later chapters of this thesis (publication 6 and publication 7), GEPAT is used to analyze human microarray datasets and to integrate results from gene expression analysis with other datatypes. Gene expression and comparative genomic hybridization data from 71 Mantle Cell Lymphoma (MCL) patients was analyzed and allowed proposing a seven gene predictor which facilitates survival predictions for patients compared to existing predictors. In this study, it was shown that CGH data can be used for survival predictions. For the dataset of Diffuse Large B-cell lymphoma (DLBCL) patients, an improved survival predictor could be found based on the gene expression data. From the genes differentially expressed between long and short surviving MCL patients as well as for regulated genes of DLBCL patients, interaction networks could be set up. They point to differences in regulation for cell cycle and proliferation genes between patients with good and bad prognosis.
Abstract: Inbreeding avoidance and asymmetric competition over resources have both been identified as factors favoring the evolution of sex-biased dispersal. It has also been recognized that sex-specific costs of dispersal would select for sex-biased dispersal, but there is little quantitative information on this aspect. In this paper we explore (i) the quantitative relationship between cost-asymmetry and a bias in dispersal, (ii) the influence of demographic stochasticity on this effect, and (iii) how inbreeding and cost-asymmetry interact in their effect on sex-specific dispersal. We adjust an existing analytical model to account for sex-specific costs of dispersal. Based on numerical calculations we predict a severe bias in dispersal already for small differences in dispersal costs. We corroborate these predictions in individual-based simulations, but show that demographic stochasticity generally leads to more balanced dispersal. In combination with inbreeding, cost asymmetries will usually determine which of the two sexes becomes the more dispersive.
The Guinea savanna-forest mosaic of West Africa is particularly rich in animal-dispersed plants. African savannas harbour the richest dung beetle community worldwide. The role of primates and dung beetles in natural plant regeneration and biodiversity maintenance in this ecosystem, however, is still poorly understood. The present study on olive baboons (Papio anubis Lesson 1827, Cercopithecinae) at Comoé National Park (CNP), north-eastern Ivory Coast, revealed that western olive baboon populations differ in several ways from their eastern conspecifics. Baboons are commonly regarded as predators of the seeds of their food plants. In the savanna-forest mosaic of West Africa, however, they are highly frugivorous and are important seed dispersers of a high number of woody plant species that differ in fruit type and seed size. They disperse intact seeds of at least 22% of the woody plant species of the regional plant pool. Their "seed dispersal potential", regarding seed number and seed sizes, is comparable to that of the much larger great apes. Relative to the availability in the regional pool of woody plant species, baboons preferred trees to shrubs and lianas as fruit sources and especially included larger fruit into their diet. Among several morphological fruit traits investigated, fruit type and fruit colour best described whether baboons included a species into their diet, whereas fruit type and seed size best predicted whether baboons predated upon the seeds of a food plant species. Seed size is an important plant fitness trait that can influence several steps between fruiting and the establishment of a plant´s offspring. Seed size can vary considerably within and among individuals of the same species. Primates may select for certain seed sizes within a species for a number of reasons, e.g. to decrease indigestible seed load or to increase pulp intake per fruit. Within eight out of ten plant species investigated, which differed in fruit type, seed number and seed size, olive baboons were selective in fruit choice regarding seed size. Seed size selection by olive baboons seems to be influenced, among other traits, by the amount of pulp rewarded per fruit relative to seed load, which varies with fruit and seed shape. Being a habitat generalist (with a preference for forest habitats) and able to move comparatively long distances, the olive baboon might be especially important for the biodiversity maintenance of distant forest islands. Because most woody plant species at the study site had medium-sized to large fruits and seeds, olive baboons may be crucial for seed dispersal and plant recruitment in this ecosystem. Their importance for seed dispersal of plants with small fruits should not, however, be underrated. Observation of frugivores at a typical "bird-dispersed" tree species showed that classification of seed dispersers on the basis of fruit syndromes alone can be misleading. Olive baboons disperse seeds in their faeces in a clumped manner, which generally is regarded disadvantageous for plants. Yet, seeds from all plant species being naturally present in baboon dung during seasonal peaks of dung beetle activity apparently can be scattered locally by dung beetles. Dung beetle activity at baboon faeces deposited in the two habitats was high, totalling 99 species from 26 genera. The probability and pattern of secondary seed dispersal by dung beetles depend on the structure and composition of the dung beetle community, which, in turn, seems to be strongly determined by vegetation type. I thus expected pronounced differences in secondary seed dispersal by dung beetles between seeds deposited by baboons in the savanna and in the forest. Experiments indicated that compared to seeds dispersed by baboons into the forest, seeds that end up in the savanna generally have a higher probability of (a) being removed by dung beetles, (b) being horizontally scattered by telecoprids, (c) being rapidly removed from the place of primary deposition and (d) being secondarily dispersed over larger distances. In general, savanna plants and plant habitat generalists the seeds of which baboons disperse into the savanna should profit most from secondary seed dispersal by dung beetles.
Vertebrate and invertebrate visual systems exhibit similarities in early stages of visual processing. For instance, in the human brain, the modalities of color, form and motion are separately processed in parallel neuronal pathways. This basic property is also found in the fly Drosophila melanogaster which has a similar division in color- sensitive and (color blind) motion-sensitive pathways that are determined by two distinct subsets of photoreceptors (the R1-6 and the R7/8 system, respectively). Flies have a highly organized visual system that is characterized by its repetitive, retinotopic organization of four neuropils: the lamina, the medulla, the lobula and the lobula plate. Each of these consists of columns which contain the same set of neurons. In the lamina, axon bundles of six photoreceptors R1-6 that are directed towards the same point in space form columnar structures called cartridges. These are the visual sampling units and are associated with four types of first-order interneuron that receive common input from R1-6: L1, L2, L3 and the amacrine cells (amc, together with their postsynaptic partner T1). They constitute parallel pathways that have been studied in detail at the anatomical level. Little is known, however, about their functional role in processing behaviorally relevant information, e.g. for gaze stabilization, visual course control or the fixation of objects. The availability of a variety of neurogenetic tools for structure-function analysis in Drosophila allowed first steps into the genetic dissection of the neuronal circuitry mediating motion and position detection. In this respect, the choice of the effector turned out to be crucial. Surprisingly, it was found that the clostridial tetanus neurotoxin failed to block mature Drosophila photoreceptor synapses, but caused irreversible damage when expressed during their development. Therefore, the dominant-negative shibire allele shits1 which turned out to be better suited was used for blocking lamina interneurons and thereby analyzing the necessity of the respective pathways. To determine whether the latter were also sufficient for the same behavioral task, the inverse strategy was developed, based on the fact that lamina interneurons express histamine receptors encoded by the ort gene. The specific rescue of ort function in defined channels in an otherwise mutant background allowed studying their sufficiency in a given task. Combining these neurogenetic methods with the optomotor response and object induced orientation behavior as behavioral measures, the aim of the present thesis was to answer the following questions: (a) Which pathways feed into elementary motion detectors and which ones are necessary and/or sufficient for the detection of directional motion? (b) Do pathways exist which specifically mediate responses to unidirectional motion? (c) Which pathways are necessary and/or sufficient for object induced orientation behavior? Some basic properties of the visual circuitry were revealed: The two central cartridge pathways, represented by the large monopolar cells L1 and L2, are key players in motion detection. Under a broad range of stimulatory conditions, the two subsystems are redundant and are able to process motion independently of each other. To detect an impairment when only one of the pathways is intact, one has to drive the system to its operational limits. At low signal to noise ratios, i.e. at low pattern contrast or low background illumination, the L2 pathway has a higher sensitivity. At intermediate pattern contrast, both pathways are specialized in mediating responses to unidirectional motion of opposite stimulus direction. In contrast, neither the L3, nor the amc/T1 pathway is necessary or sufficient for motion detection. While the former may provide position information for orientation, the latter has a modulatory role at intermediate pattern contrast. Orientation behavior turned out to be even more robust than motion vision and may utilize a less sophisticated mechanism, as it does not require a nonlinear comparison of signals from neighboring visual sampling units. The position of objects is processed in several redundant pathways, involving both receptor subsystems. The fixation of objects does not generally require motion vision. However, motion detection improves the fixation of landmarks, especially when these are narrow or have a reduced contrast.
Chapter 1 - Evolution of local adaptations in dispersal strategies The optimal probability and distance of dispersal largely depend on the risk to end up in unsuitable habitat. This risk is highest close to the habitat’s edge and consequently, optimal dispersal probability and distance should decline towards the habitat’s border. This selection should lead to the emergence of spatial gradients in dispersal strategies. However, gene flow caused by dispersal itself is counteracting local adaptation. Using an individual based model I investigate the evolution of local adaptations of dispersal probability and distance within a single, circular, habitat patch. I compare evolved dispersal probabilities and distances for six different dispersal kernels (two negative exponential kernels, two skewed kernels, nearest neighbour dispersal and global dispersal) in patches of different size. For all kernels a positive correlation between patch size and dispersal probability emerges. However, a minimum patch size is necessary to allow for local adaptation of dispersal strategies within patches. Beyond this minimum patch area the difference in mean dispersal distance between center and edge increases linearly with patch radius, but the intensity of local adaptation depends on the dispersal kernel. Except for global and nearest neighbour dispersal, the evolved spatial pattern are qualitatively similar for both, mean dispersal probability and distance. I conclude, that inspite of the gene-flow originating from dispersal local adaptation of dispersal strategies is possible if a habitat is of sufficient size. This presumably holds for any realistic type of dispersal kernel. Chapter 2 - How dispersal propensity and distance depend on the capability to assess population density We analyze the simultaneous evolution of emigration probability and dispersal distance for species with different abilities to assess habitat quality (population density) and which suffer from distance dependent dispersal costs. Using an individual-based model I simulate dispersal as a multistep (patch to patch) process in a world consisting of habitat patches surrounded by lethal matrix. Our simulations show that natal dispersal is strongly driven by kin-competition but that consecutive dispersal steps are mostly determined by the chance to immigrate into patches with lower population density. Consequently, individuals following an informed strategy where emigration probability depends on local population density disperse over larger distances than individuals performing density-independent emigration; this especially holds when variation in environmental conditions is spatially correlated. However, already moderate distance-dependent dispersal costs prevent the evolution of long-distance dispersal irrespectively of the chosen dispersal strategy. Chapter 3 - Evolution of sex-biased dispersal: the role of sex-specific dispersal costs, demographic stochasticity, and inbreeding Inbreeding avoidance and asymmetric competition over resources have both been identified as factors favouring the evolution of sex- biased dispersal. It has also been recognized that sex-specific costs of dispersal would promote selection for sexspecific dispersal, but there is little quantitative information on this aspect. In this paper I explore (i) the quantitative relationship between cost-asymmetry and a bias in dispersal, (ii) the influence of demographic stochasticity on this effect, and (iii) how inbreeding and cost-asymmetry interact in their effect on sex-specific dispersal. I adjust an existing analytical model to account for sex-specific costs of dispersal. Based on numerical calculations I predict a severe bias in dispersal already for small differences in dispersal costs. I corroborate these predictions in individualbased simulations, but show that demographic stochasticity generally leads to more balanced dispersal. In combination with inbreeding, cost asymmetries will usually determine which of the two sexes becomes the more dispersive. Chapter 4 - Evolution of sex-biased dispersal: the role of sex-specific dispersal costs, demographic stochasticity, and inbreeding Inbreeding depression, asymmetries in costs or benefits, and the mating system have been identified as potential factors underlying the evolution of sex-biased dispersal. We use individual-based simulations to explore how the mating system and demographic stochasticity influence the evolution of sex-specific dispersal in a metapopulation with females competing over breeding sites, and males over mating opportunities. Comparison of simulation results for random mating with those for a harem system (locally, a single male sires all offspring) reveal that even extreme variance in local male reproductive success (extreme male competition) does not induce a male bias in dispersal. The latter evolves if between-patch variance in reproductive success is larger for males than females. This can emerge due to demographic stochasticity if habitat patches are small. More generally, members of a group of individuals experiencing higher spatio-temporal variance in fitness expectations may evolve to disperse with greater probability than others.
Investigations of Measles virus regulation on activation and function of antigen presenting cells
(2008)
Interaction with dendritic cells (DCs) is considered as central to immunosuppression induced by viruses, including measles virus (MV). Commonly, viral infection of DCs abrogates their ability to promote T cell expansion, yet underlying mechanisms at a cellular level are undefined. It appears that MV-WTF infection modulate DCs morphology and dynamic adhesion on extra cellular matrix proteins such as FN or ICAM-1. By morphological criteria, WTF-DCs resembled LPS-DCs, associated with their mature phenotype also adhered less efficiently to the FN or ICAM-1 support. Reduced adhesion could not be explained by a lack of 1-integrin expression or activation. Similarly, MV-DCs strongly resembled LPS-DCs in that levels of focal adhesion kinase phosphorylated at Y397 were high and not further enhanced upon FN ligation. Fascin, a downstream effector of integrin signaling was highly upregulated in LPS-DCs and moderately in WTF-DCs, and differences in its subcellular distribution were not observed between both cell cultures. Apparently, however, fascin associated less efficiently with PKC in WTF-DCs then in LPS-DCs. In line with findings for murine DCs, high motility of mature human DCs was found to require expression of Rac-GTPases. Human LPS-DCs and more so, DC transfected to express constitutively active Rac1 were the most motile DC-species analysed, confirming that migration of human DC also involved Rac activity. The velocity of WTF-DCs on FN is below that of LPS-DCs, indicating that maturation induced by WTF may be insufficient to completely promote integrin signaling which leads to Rac activation. The organisation of MV-DC/T cell interfaces was consistent with that of functional immune synapses with regard to CD3 clustering, MHC class II surface recruitment and MTOC location. These analyses are based in the selection of stable conjugates. Subsequently, however, neither contacts nor calcium flux can be stabilised and sustained in the majority of MV-DC/T cell conjugates and only promoted abortive T cell activation. Formation of spatially organised IS in T cells requites, prolonged contact durations. Therefore, aberrant distribution patterns of CD3 in these structures, if occurring, are not likely to contribute to the type of contacts predominating for WTF-DC/T cell interactions. It is also likely that transient interactions of less than 2 minutes may if at all, not efficiently support viral transmission to T cells. Transient interactions are typically observed with immature DCs in the absence of antigen, but this is not likely to be relevant in our allogenic system, which includes SA-loaded WTF-DCs. Thus, MV-infected DCs retain activities required for initiating, but not sustaining T cell conjugation and activation. This is partially rescued if surface expression of the MV glycoproteins on DCs is abolished by infection with a recombinant MV encoding VSV G protein instead, indicating that these contribute directly to synapse destabilisation and thereby act as effectors of T cell inhibition.
Regulated progression through the cell cycle is essential for ordered cell proliferation. One of the best characterized tumor suppressors is the retinoblastoma protein pRB, which together with the E2F transcription factors regulates cell cycle progression. In the model organisms Drosophila melanogaster and Caenorhabditis elegans, RB/E2F containing multiprotein complexes have been described as transcriptional regulators of gene expression. This work first describes a homologous complex in human cells named LINC (for LIN complex). It consists of a stable core complex containing LIN-9, LIN-37, LIN-52, LIN-54 and RbAp48. This core complex interacts cell cycle-dependently with different pocket proteins and transcription factors. In quiescent cells, LINC associates with p130 and E2F4. In S-phase cells these interactions are lost and LINC binds to B-MYB and p107. The transient knock-down of LIN-54 in primary fibroblasts, as the depletion of LIN-9, leads to cell cycle defects. The cells are delayed before the entry into mitosis. This effect is due to the fact that the knock-down of LINC components leads to the downregulation of cell cycle genes responsible for the entry into and exit from mitosis as well as for checkpoints during mitosis. These LINC target genes are known E2F G2/M target genes, which are expressed later than the classical G1/S E2F target genes. The transcriptional regulation by LINC is a direct effect as LINC binds to the promoters of its target genes throughout the cell cycle. LINC contains three DNA-binding proteins. E2F4 and B-MYB, which cell cycle-dependently bind to LINC, are known DNA-binding transcription factors. Additionally, it is show here that the LINC core complex member LIN-54 also directly binds to the promoter of a LINC target gene. Although the exact molecular mechanism of LINC function needs to be analyzed further, data in this work provide a model for the delayed activation of G2/M target genes. B-MYB, a G1/S E2F target gene, binds to LINC upon its expression in S-phase. Then only LINC is a transcriptional activator that induces the expression of the G2/M genes. This provides an explanation for the delayed expression of these E2F G2/M target genes.