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Prion diseases or transmissible spongiform encephalopathies (TSEs) are rare neurological disorders that may be of genetic or infectious origin, but most frequently occur sporadically in humans. Their outcome is invariably fatal. The infectious agent has been defined as prion (from proteinaceous infectious only) in 1992 by Stanley B. Prusiner and represent mainly, if not solely, an abnormal, protease-resistant isoform (PrPSc) of a cellular protein, the prion protein or PrPC. According to the “protein only” hypothesis, the prion is devoid of informational nucleic acids and consists of an “infectious” protein that is capable of converting the normal host protein PrPC into a likeness of itself. TSEs can be distinguished from other neurodegenerative diseases because of their infectivity and transmission capability. The only organ system in which severe histopathological damage can be demonstrated as a consequence of infection with prions is the nervous system. The communal lesions are neuronal loss, spongiosis and astrogliosis, accompanied by an intra- and extracellular accumulation of PrPSc, occasionally in form of amyloid plaques. Even if a strong activation of microglia and astrocytes occurs, no immunological response is usually detectable as consequence of prion infection. Despite the considerable attention for its involvement in TSEs, the physiological role of the cellular, nonpathogenic isoform of PrPC, has not yet been determined. In the last years, several putative cellular functions have been attributed to PrPC: its localization in “lipid rafts” is consistent with a possible role in cell adhesion, transmembrane signalling or as a recognition molecule. Furthermore, PrPC has been implicated in protection against oxidative stress, copper metabolism, apoptosis, cell proliferation and in the regeneration of blood precursors stem cells in the adult. It has also been shown that PrPC interacts with the neuronal cell adhesion molecule NCAM, promoting neurite outgrowth. However, both the PrPC-mediated effects and the role of PrPC-dependent pathways on neuronal differentiation are still not elucidated. First objective of this Ph.D thesis was the establishment of a novel in vitro cellular model for the study of the role of PrPC in neuronal differentiation and neurite outgrowth. Furthermore, an additional goal of this project was the indentification of the PrPC domains responsible for the induction of neuronal differentiation. A novel PrPC-depleted cell line (PrP0/0 ML) was derived from murine primary PrP-knockout neuronal cells by SV40 large T antigen-mediated immortalization. A temperature sensitive form of this oncogenic protein was used, allowing a temperature-mediated regulation of its expression. This cell line was then characterised for its growth potential, for the expression of specific cellular markers and for its ability to differentiate. It was found that, under culture conditions promoting the expression of the temperature-sensitive SV40 large T antigen, the cells expressed nestin, a specific marker of neuronal precursor cells. Therefore, the PrP0/0 ML cell line was identified as a potential neuronal stem cell line. In fact, under nonpermissive culture conditions when the expression of the temperature-sensitive SV40 large T antigen is downregulated, the PrP0/0 ML cells differentiated into neurons. Noteworthy, maintenance of the cells in conditions that promote cell differentiation induced a progressive reduction in the expression levels of nestin, an event that strongly correlated with the appearance of the specific neuronal markers MAP-2b and NeuN. In order to investigate the role of PrPC in the process of neuronal differentiation, the PrP0/0 ML cells were then reconstituted for the expression of either the full-length PrP or a N-terminal truncated PrPC form (PrPdel32-134). The differentiation potential of both reconstituted cell lines under nonpermissive culture conditions was then compared with that of the parenteral PrP0/0 ML cells. This in vitro study clearly highlights that PrPC expression in the PrP0/0 ML cell line accelerates neuronal differentiation and that the N-terminal domain of the prion protein is not necessary for this PrP-mediated function. Prion diseases like BSE, vCJK, Kuru and the majority of iatrogenic cases of CJK are caused by a peripheral infection. Infectious prions accumulate in the central and peripheral nervous system as well as in extracerebral tissues, such as the secondary lymphoid organs and muscles. The prion pathogenesis is a dynamic process which can be defined temporary and spatially in different phases: i) infection and peripheral replication, ii) neuroinvasion, transport of prions from the periphery to the central nervous system (CNS), and iii) neurodegeneration. In the last years, progresses in the elucidation of the peripheral prion pathogenesis were achieved. The identification of the cell types involved in the lymphoreticular prion replication phase and the recognition of the role of the peripheral nervous system in the process of prion spread from the periphery to the CNS have elucidated some of the cellular mechanisms that are involved in prion uptake, replication and propagation. However, relatively little information is available about the mechanism(s) underlying intercellular prion transfer and tissue-to tissue prion spread. Microvesicles (MVs) are submicron vesicles (0,03-1 microm.) with a single membrane and are shed from most eukaryotic cells undergoing activation or apoptosis. The segregation of specific proteins is followed by blebbing of the membrane surface, leading to the formation of MVs and their release in the extracellular environment. MVs can be also secreted upon fusion of multivesicular endosomes with the plasma membrane (exosomes). The secretion of MVs is the result of a complex cellular process involving changes in the metabolism of lipids and proteins. The functional role of MVs is still largely unknown. However, there is evidence showing that they are important modulators of cell-to-cell communication, participate in a variety of intracellular adhesion processes and are able to induce cellular response(s). The release of PrPC and infectious PrPSc by prion infected epithelial, neuroglial and neuronal cells in association with exosomes has recently been highlighted. Furthermore, it has been shown that exosomes can propagate prion infectivity both in vitro and in vivo, suggesting that PrPSc-bearing exosomes may provide a mechanism for intercellular transmission of infectious prions in addition to cell-to-cell contact. Second objective of this Ph.D thesis was to determine the possible role of plasma membrane-derived microvesicles in the propagation and transmission of prions. The release of MVs was first studied in different murine neuronal cell lines. Here it is shown for the first time that neurons also shed plasma membrane derived MVs, in addition to exosomes. Immunoelectron microscopy and immunoblot analyses clearly demonstrated the presence of PrPC on the membrane of MVs released from PrPC-expressing cells. Characterization of lipid rafts components in MVs highlighted the presence of the ganglioside GM2, the tyrosine kinase p59Fyn, flotillin-2 and the neuronal protein GAP-43. In order to investigate whether MVs are involved in the intercellular transmission of prions, MVs were first isolated from two prion infected murine neuronal cell lines, namely the Neuro-2a PK1 and the N2a58 cells, and then used for in vitro and in vivo infection assays. Immunoblot analyses after proteinase K treatment demonstrated the association of PrPSc with the secreted MVs. The PrPSc-bearing MVs were then used to perform infection experiments on noninfected cells. By the use of cell blot assay, a method that allows the detection of PrPSc-amplification and -accumulation in cultured cells, the kinetic of prion infection in the de novo infected cells was followed. Noteworthy, it was found that PrPSc-bearing MVs were capable to transmit prions in vitro and to stably infect the recipient cells. In order to investigate the role of MVs in the transmission of infectivity in vivo, PrPSc-bearing MVs as well as MVs isolated from noninfected cells (as negative control) were injected intracerebrally in PrPC-overexpressing indicator mice (tga20). The development of clinical disease was followed in a time-dependent manner. Clinical symptoms could be observed only in the group of indicator mice inoculated with the PrPSc-bearing MVs, which then succumbed to desease. These findings clearly demonstrated that MVs are biological carriers of both PrPSc and prion infectivity. MVs could therefore participate in vivo in the processes of intercellular prion transmission and propagation.
Information sent to and received by cells is essential for a homeostatic development of tissues and organs. These same signals are responsible for the good functioning of lymphatic organs and therefore govern the immune response. Dysfunctioning of the signaling networks is related to pathological situations, among which one can find cancer and auto-immune diseases. Intercellular communication involves the synthesis and the adjustment of signals by the secreting/emitting cell in order to reach the needed threshold. Diffusion of the signal to the target cell in addition to its interpretation lead to functional changes like cell migration and aggregation. Individual cells such as bacteria find food or increase their virulence through taxis (directional stimulus) and/or kinesis (speed stimulus). Immune cells appear to use the same processes to find bacteria and cellular debris, as well as to perform the cellular dance observed in germinal centers. This behavior is a result of an up or down regulation of specific signals that suggest to B and T-cells the paths to follow. Furthermore, cell segregation in the white pulp of the spleen, was also shown to be a result of a tight adjustment of T-cell kinesis. Restriction to cellular tracks and other experimentally provided measurements does not ensure a full comprehension of the observed cellular behavior. Thus, the study of patterns opens new gates to our understanding of the immune system. With the help of the agent-based modeling technique, cellular migration and aggregation are investigated in response to various cell-cell interactions. This work aims to explore different mechanisms that lead to cellular migration and aggregation, by defining the emergent properties of interest and that will help distinguish between interactions, starting by a simple look at the emergent patterns, followed by an analysis of their size, their degree of aggregation and the effective communication distances. Finally, the results obtained from the in silico experiments provided a guideline to differentiate between many cell-cell interactions under specific circumstances. Chemotaxis and phototaxis with and without diffusive cellular motion were shown to be distinguishable through an analysis of the emerging aggregation profiles.
Mitochondria are dynamic organelles indispensible for viability of eukaryotic cells. Diffusion of proteins in mitochondrial membranes is a prerequisite for the correct functionality of the organelles. However, its study is made complicated due to the nontrivial geometry, small size and positional instability of the organelle, restricting the usability of regular experimental methods and theoretical understanding of acquired data. Therefore, here the molecular transport along the main mitochondrial axis was investigated using highly accurate computational methods combining them with traditional experimental approaches. Using recently reported electron microscopic tomography data concerning the constitution of mitochondria [Fre02], a lattice model of the inner mitochondrial membrane (IM) reproducing its structure in great details was built up. With Monte Carlo (MC) simulations of particle dynamics on this model, it was found that the membrane geometry induces nonlinear effects in the motion of molecules along the mitochondrial axis, which in turn lead to a transient violation of the 2nd Fick?s equation. We show that mere curvature of the IM resulting from the presence of cristae is sufficient for the emergence of transient anomalous diffusion (TAD) in the membrane. The MC calculations have enabled an accurate estimation of regularities in the extent of deviations from the normal regime, therefore allowing us to propose non-homogenous power law as a suitable generalization of the current approach to the analysis of experimental data for the transient dynamics. The general cause of TAD resulting from the membrane curvature alone, without any involvement of specific inter-particle interactions prompted us to predict the similar dynamical effect also for other curved cellular membranes, be it diffusion in endoplasmic reticulum or in plasma membrane of cells possessing dense microvilli. The data indicate that the geometry-induced anomalous diffusion should be easily detectable with current experimental methods, but only in the restricted range of time scales corresponding to high temporal resolution. Until now, experimental measurements of molecular diffusion in biological membranes indiscriminately assumed either pure normal or pure anomalous diffusion schemes for the analysis of data acquired in very wide range of temporal resolutions, which often lead to ambiguities in the interpretation of diffusion parameters. The MC calculations have clearly illustrated the necessity for a more subtle treatment of experimental conditions: the assumption of pure Gaussian diffusion model is justified only if the applied temporal resolution is sufficiently low (as is often the case when using scanning techniques exemplified further); otherwise, the transient regime should be tested for by means of the non-homogenous power function. In the second part of the study the Fluorescence Recovery after Photobleaching (FRAP) with the laser scanning microscope is introduced as a method of choice for studying protein mobility within mitochondrial membranes. The conventional FRAP methodology [Axe76] was extended to enable its application for the determination of confined diffusion with conventional laser scanning microscopes which allowed us to communicate for the first time the direct measurement of protein diffusion in mitochondrial membranes of living cells. This is achieved through adaptation of FRAP data analysis to account for the spatial dimensions of the organelle and the spatiotemporal pattern of light pulses induced by the microscope. The experimental circumstances existing during the particular measurement session are computationally recreated and this way the best suited values of diffusion parameters are found. The method is validated experimentally for four FP-tagged mitochondrial membrane proteins: the IM OxPhos complexes F1F0 ATPase and cytochrome c oxidase and for Tom7 and hFis1 - components of the mitochondrial protein import and fission machineries respectively localized in the outer membrane. We find that for all proteins simple normal diffusion is not a sufficient description. In the inner membrane, diffusion coefficient of F1F0 ATPase expressed in HeLa cell line is found to be 0.2 ?m2/s, with more than 1/3 of the protein molecules being immobilized, while cytochrome c oxidase (in CEF primary cells) demonstrated a similar diffusivity pattern (0.4 ?m2/s, 30% immobile). In the outer membrane, the D (0.7 ?m2/s) and immobile fraction (7-8%) of GFP-Tom7 and GFP-hFis1 (both in HeLa cells) are identical, which designates a substantial difference in comparison to the IM protein mobility. Diffusion coefficients of mitochondrial membrane proteins studied here lay in the intermediate region between those measured in artificial bilayers and in plasma membranes. Protein crowding and intermolecular interactions will be among the major causes responsible for the detected slowdown of diffusion.
Rhythmic changes in environmental lighting conditions have ever been the most reliable environmental cue for life on earth. Nature has therefore selected a genetically encrypted endogenous clock very early in evolution, as it provided cells and subsequently organisms with the ability to anticipate persevering periods of light and darkness. Rhythm generation within the mammalian circadian system is achieved by clock genes and their protein products. The mammalian endogenous master clock, which synchronizes the body to environmental time, is located in the suprachiasmatic nucleus (SCN) of the hypothalamus. As an integral part of the time-coding system, the pineal gland serves the need to tune the body to the temporal environment by the rhythmic nocturnal synthesis and immediate release of the hormone melatonin. In contrast to the transcriptional regulation of melatonin synthesis in rodents, a post-translational shaping is indicated in the human pineal gland. Another important mediator of circadian time and seasonality to the body is the pituitary gland. The aim of this work was to elucidate regulation of melatonin synthesis in the human pineal gland. Furthermore, presence and regulation of clock genes in the human pineal and pituitary gland, and in the SCN were analyzed. Therefore, human tissue, taken from regular autopsies, was analyzed simultaneously for different parameters involved in melatonin biosynthesis and circadian rhythm generation. Presented data demonstrate that post-mortem brain tissue can be used to detect the remnant profile of pre-mortem adaptive changes in neuronal activity. In particular, our results give strong experimental support for the idea that transcriptional mechanisms are not dominant for the generation of rhythmic melatonin synthesis in the human pineal gland. Together with data obtained for clock genes and their protein products in the pituitary, data presented here offer 1) a new working hypothesis for post-translational regulation of melatonin biosynthesis in the human pineal gland, and 2) a novel twist in the molecular competence of clock gene proteins, achieved by nucleo-cytoplasmic shuttling in neuronal and neuroendocrine human tissue. Furthermore, in this study, oscillations in abundance of clock gene proteins were demonstrated for the first time in the human SCN.
Different numerical approaches and algorithms arising in the context of modelling of cellular tissue evolution are discussed in this thesis. Being suited in particular to off-lattice agent-based models, the numerical tool of three-dimensional weighted kinetic and dynamic Delaunay triangulations is introduced and discussed for its applicability to adjacency detection. As there exists no implementation of a code that incorporates all necessary features for tissue modelling, algorithms for incremental insertion or deletion of points in Delaunay triangulations and the restoration of the Delaunay property for triangulations of moving point sets are introduced. In addition, the numerical solution of reaction-diffusion equations and their connection to agent-based cell tissue simulations is discussed. In order to demonstrate the applicability of the numerical algorithms, biological problems are studied for different model systems: For multicellular tumour spheroids, the weighted Delaunay triangulation provides a great advantage for adjacency detection, but due to the large cell numbers the model used for the cell-cell interaction has to be simplified to allow for a numerical solution. The agent-based model reproduces macroscopic experimental signatures, but some parameters cannot be fixed with the data available. A much simpler, but in key properties analogous, continuum model based on reaction-diffusion equations is likewise capable of reproducing the experimental data. Both modelling approaches make differing predictions on non-quantified experimental signatures. In the case of the epidermis, a smaller system is considered which enables a more complete treatment of the equations of motion. In particular, a control mechanism of cell proliferation is analysed. Simple assumptions suffice to explain the flow equilibrium observed in the epidermis. In addition, the effect of adhesion on the survival chances of cancerous cells is studied. For some regions in parameter space, stochastic effects may completely alter the outcome. The findings stress the need of establishing a defined experimental model to fix the unknown model parameters and to rule out further models.