Electroporation affects the dielectric properties of cells. Dielectric measurement techniques can provide a label-free and non-invasive modality to study this phenomenon. In this thesis we introduce a dielectrophoresis (DEP) based technique to study changes in the cytoplasm conductivity of single Chinese hamster ovary (CHO) cells immediately after electroporation. Using a microfluidic chip, we study changes in the DEP response of single CHO cells a few seconds after electroporation. First, in order to quantify our DEP measurement results and relate them to the cells internal conductivity, we introduce a dielectric model for CHO cells. This is achieved by measuring the DEP response of many individual cells in the β-dispersion frequency region and curve fitting to the measured data. Second, we present quantitative results for changes in the cytoplasm conductivity of single cells subjected to pulsed electric fields with various intensities. We observe that when electroporation is performed in media with lower ionic concentration than cells cytoplasm, their internal conductivity decreases after electroporation depending on the intensity of applied pulses. We also observe that with reversible electroporation there is a limit on the decrease in the cells’ internal conductivity. We hypothesize the reason is the presence of large and relatively immobile negative ions inside the cell which attract mobile positive ions (mainly sodium and potassium) to maintain cell electrical neutrality. We monitor the temporal response of cells after electroporation to measure the time constant of changes due to ion transport and observe this ranges from seconds to tens of seconds depending on the applied pulse intensity. This result can be used to infer information about the density and resealing time of very small pores (not measurable with conventional marker molecules). Lastly, we measure the electroporation of cells in media with different conductivities. Our results show that electroporation in very low conductivity media requires stronger pulses to achieve a similar poration extent as in high conductivity media. The outcome of this thesis can be used to improve our understanding of the dynamics of electroporation as well as its modelling in order to make more accurate predictions or optimize the process for specific applications. / February 2017

Biomolecules on cell surfaces play critical roles in diverse biological and physiological processes. However, conventional bulk scale techniques are unable to clarify the density and distribution of specific biomolecules in situ on single, living cell surfaces at the micro or nanoscale. In this work, a single cell analysis technique based on Atomic Force Microscopy (AFM) is developed to spatially identify biomolecules and characterize nanomechanical properties on single cell surfaces. The unique advantage of these AFM-based techniques lies in the ability to operate in situ (in a non-destructive fashion) and in real time, under physiological conditions or controlled micro-environments. First, AFM-based force spectroscopy was developed to study the fundamental biophysics of the heparin/thrombin interaction at the molecular level. Based on force spectroscopy, a force recognition mapping strategy was developed and optimized to spatially detect single protein targets on non-biological surfaces. This platform was then translated to the study of complex living cell surfaces. Specific carbohydrate compositions and changes in their distribution, as well as elasticity change were obtained by monitoring Bacillus cells sporulation process. The AFM-based force mapping technique was applied to different cellular systems to develop a cell surface biomolecule library. Nanoscale imaging combined with carbohydrate mapping was used to evaluate inactivation methods and growth temperatures effects on Yersinia pestis surface. A strategy to image cells in real time was coupled with hydrophobicity mapping technique to monitor the effect of antimicrobials (antimicrobial polymer and copper) on Escherichia coli and study their killing mechanisms. The single spore hydrophobicity mapping was used to localize the exosporium structure and potentially reconstruct culture media. The descriptions of cell surface DNA on single human epithelial cells potentially form a novel tool for forensic identification. Overall, these nanoscale tools to detect and assess changes in cell behavior and function over time, either as a result of natural state changes or when perturbed, will further our understanding of fundamental biological processes and lead to novel, robust methods for the analysis of individual cells. Real time analysis of cells can be used for the development of lab-on-chip type assays for drug design and testing or to test the efficacy of antimicrobials.

Cells are the basic units of life. Studying complex tissues and whole organs requires an understanding of cell heterogeneity and responses to stimuli at the single-cell level. Even the cells, which belong to the same cell type, behave differently at a specific moment and contain different amount of mRNA. Quantitative polymerase chain reaction (qPCR) is one the most sensitive methods for the detection of mRNA, however, gene expression profiling in single cells leads to a large amount of missing data due to the fact that the transcript is missing, or is below the level of detection. Therefore, it is necessary to establish a new statistical approach for analysis of single cells. In this thesis the potential of single-cell gene expression profiling using the high throughput instrument Biomark, focusing on data analysis and biological interpretation, is discussed. Data normalization and handling of missing data are two important steps in data analysis that are performed differently at the single-cell level. Single cells are not normalized by reference genes but the number of cells as a normalizer is applied. Missing data are replaced by value, which is equaled one quarter of transcript amount in the cell. Furthermore it is shown how single-cell gene expression data can be viewed and how subpopulations...

A heterogeneidade entre as células tumorais e o suporte a elas proporcionado pelos componentes do microambiente tumoral (TME) são os dois principais responsáveis pela progressão do câncer e por tornar essas doenças essencialmente incuráveis. Assim, identificar as principais dependências das células malignas, sejam elas internas ou advindas do meio extracelular, é fundamental para entender seu comportamento e propor terapias mais eficientes. Nesta tese, abordamos aspectos destas duas questões separadamente. Em um primeiro trabalho, investigamos as interações de células tumorais com células-tronco mesenquimais (MSCs), um dos principais componentes do TME. MSCs participam ativamente do nicho tumoral, especialmente por serem capazes de liberar uma vasta gama de moléculas que, via sinalização parácrina, podem modular as células ao seu redor. No entanto, os principais mediadores e respectivos efeitos do secretoma dessas células nos tumores ainda precisam ser melhor elucidados. Ao investigar esses efeitos em glioblastomas (GBM), um dos tumores primários mais agressivos em adultos, mostramos que o secretoma de células-tronco mesenquimais derivadas de tecido adiposo humano (hADSCs) foi capaz de bloquear a autofagia das células malignas. Nossos dados revelaram que o secretoma de hADSCs ativou a via de sinalização de mTORC1 e reduziu a translocação nuclear de TFEB, um fator de transcrição chave que regula a autofagia e a a função lisossomal, nas células de GBM, impedindo que o fluxo autofágico fosse completado. Já em um segundo trabalho, no contexto da heterogeneidade celular em tumores, propusemos uma abordagem para análise de dados de céulas únicas focada em outliers. Minorias celulares com níveis anormalmente elevados, ou reduzidos, de expressão de determinados genes ou proteínas são em muitos casos responsáveis por resistir aos tratamentos e levar à recidiva da doença, ao mesmo tempo que, por serem outliers, são muitas vezes ignoradas ou excluídas das análises de dados. Assim, decidimos utilizar métodos estatísticos em dados de expressão de células únicas para detectar e analisar células outliers, comparando o seu comportamento com as demais células não-outliers. Denominamos essa abordagem de Single Cell OUTlier analysis (SCOUT) e a testamos em dados de células tumorais avaliadas por citometria de massas e por sequenciamento de RNA de células únicas (sc-RNA-seq). Como resultado, pudemos confirmar que, especialmente diante de determinados tratamentos, células outliers podem se comportar de maneira distinta de não-outliers, revelando informações potencialmente relevantes ao desenvolvimento de estretégias terapêuticas. Por fim, desenvolvemos uma ferramenta para automatizar a detecção e seleção de outliers em dados de célula única a fim de facilitar o estudo dessas células em diversos aspectos na pesquisa do câncer. / Intratumoral heterogeneity and the support provided by components of the tumor microenvironment (TME) to malignant cells are major contributors to cancer progression, and the two main factors that make this disease essentially incurable. Thus, identifying malignant cells dependencies, either in the intra- or extracellular environment, is fundamental to understand their behavior and propose more efficient therapies. In this thesis, we approached aspects of these two issues separately. In a first work, we investigated interactions between tumors and mesenchymal stem cells (MSCs), one of the main components in the TME. MSCs actively participate in the tumor niche, especially due to their capacity of releasing a wide range of molecules that can modulate cells in their surroundings. However, little is known about the effects of MSCs-derived molecules in tumor cells behavior. In investigating these effects on glioblastomas (GBM), one of the most aggressive primary tumors in adults, we found out that the secretome of human adipose-derived stromal cells (hADSCs) was able to block autophagy in malignant cells. Our data revealed that hADSCs secretome activated mTORC1 signaling pathway and reduced nuclear translocation of TFEB, a master transcription factor that regulates autophagy and lysosomal function, in GBM cells, preventing autophagic flux from being completed. In a second work, we addressed intratumoral heterogeneity by proposing an approach to analyze outliers in single cell data. Cellular minorities with abnormally high, or low, expression levels of certain genes or proteins are in many cases responsible for resisting treatments and lead to disease relapse, while for being outliers they are also frequently ignored or excluded from data analysis. Thus, we decided to apply statistical methods on single cell expression data to detect outliers and analyze them, comparing their behavior with the remaining non-outlier cells. We called this approach Single Cell OUTlier analysis (SCOUT) and tested it on tumor cell datasets obtained from mass cytometry and single cell RNA sequencing (scRNA-seq) experiments. Using SCOUT we were able to confirm that, especially upon specific treatments, outlier cells may behave differently from non-outliers, revealing potentially relevant information to aid in the development of novel therapeutic strategies. Finally, we developed a tool to automate detection and selection of outliers in single cell data with the aim to facilitate the study of these cells under different contexts in cancer research.

Gene expression is tightly regulated by complex transcriptional regulatory mechanisms to achieve specific expression patterns, which are essential to facilitate important biological processes such as embryonic development. Dysregulation of gene expression can lead to diseases such as cancers. A better understanding of the transcriptional regulation will therefore not only advance the understanding of fundamental biological processes, but also provide mechanistic insights into diseases. The earlier versions of high-throughput expression profiling techniques were limited to measuring average gene expression across large pools of cells. In contrast, recent technological improvements have made it possible to perform expression profiling in single cells. Single-cell expression profiling is able to capture heterogeneity among single cells, which is not possible in conventional bulk expression profiling. In my PhD, I focus on developing new algorithms, as well as benchmarking and utilising existing algorithms to study the transcriptomes of various biological systems using single-cell expression data. I have developed two different single-cell specific network inference algorithms, BTR and SPVAR, which are based on two different formalisms, Boolean and autoregression frameworks respectively. BTR was shown to be useful for improving existing Boolean models with single-cell expression data, while SPVAR was shown to be a conservative predictor of gene interactions using pseudotime-ordered single-cell expression data. In addition, I have obtained novel biological insights by analysing single-cell RNAseq data from the epiblast stem cells reprogramming and the leukaemia systems. Three different driver genes, namely Esrrb, Klf2 and GY118F, were shown to drive reprogramming of epiblast stem cells via different reprogramming routes. As for the leukaemia system, FLT3-ITD and IDH1-R132H mutations were shown to interact with each other and potentially predispose some cells for developing acute myeloid leukaemia.

La diversité des protistes marins planctoniques, après avoir été historiquement étudiée sur des critères morphologiques, est depuis récemment sujette à une intense recherche à l’aide d’approches moléculaires. Notamment, les études basées sur l’amplification directe de marqueurs moléculaires à partir d’ADN environnemental ont révélées une exceptionnelle diversité. L’objectif central de ce travail est d’améliorer notre compréhension sur le lien existant entre la connaissance classique des eucaryotes unicellulaires et leur diversité estimée à partir des données moléculaires, en particulier pour une meilleure interprétation des processus évolutifs et écologiques. Pour cela, nous avons utilisé comme système modèle l’ordre des ciliés tintinnidés (Tintinnida) qui constituent un groupe riche en espèces, aisément identifiables au microscope grâce à leur coquille externe (lorica) et communément rencontrés dans l’ensemble des eaux marines et lacustres du monde. Un suivi approfondi sur deux ans des tintinnidés de la Baie de Villefranche-sur-Mer (Mer Méditerrannée, France), couplant des analyses moléculaires de la diversité à partir de cellules individuelles et à partir d’ADN environnemental, a permis de caractériser la composition de ces communautés et leur dynamique temporelle aux échelles macro- et micro-évolutives. La première partie de ce travail a été destinée à la réalisation d’une phylogénie moléculaire de référence pour les tintinnidés en incorporant les séquences de 62 individus de morphologies diverses pour lesquelles des données moléculaires n'étaient pas disponibles. Nous avons amplifié et séquencé les gènes codant pour les ARN ribosomiques (ARNr 18S, 5.8S et 28S) et les espaces intergéniques correspondants (ITS1 et ITS2). La classification taxonomique a été réévaluée d’après les données moléculaires. Dans un deuxième temps, nous avons testé l’efficacité des approches moléculaires conventionnelles (amplification, clonage et séquençage Sanger du gène de l'ARNr 18S) et plus récentes (amplification et pyroséquençage de régions de l'ARNr 18S et de l’ITS), pour décrire la composition des communautés des tintinnidés dans des échantillons environnementaux en les comparant avec des estimations de la diversité par observation morphologique sur les mêmes échantillons. Si il existe de légères incongruences entre les approches et/ou les différents marqueurs employés, les approches cultureindépendantes s’avèrent efficaces pour décrire la diversité morphologique. En revanche, afin de ne pas surévaluer artificiellement le nombre d’espèces estimées à partir des données de pyroséquençage, il faut que des méthodes de débruitage et de regroupement en unités taxonomiques opérationnelles (UTOs) contraignantes soient appliquées. La troisième partie de ce travail a été dédiée au suivi temporel des communautés de tintinnidés à différentes profondeurs dans la baie de Villefranche, basé sur le clonage et le séquençage du gène de l'ARNr 18S et des régions ITS. Il apparaît des différences de distribution au cours de l’année à une même profondeur, en particulier en termes d’abondance de séquences pour une UTO donnée. Malgré un cadre phylogénétique solide et assez enrichi, l’approche moléculaire révèle des séquences éloignées des espèces déjà séquencées. La découverte de ces clades environnementaux souligne potentiellement l’importance écologique d’espèces encore mal connues. Enfin, le séquençage direct du gène de l'ARNr 18S et de l'ITS2 à partir des cellules individuelles de l'espèce <Undella claparedei> a offert l’opportunité d’une étude populationnelle sur une période de deux ans. La diversité intra-spécifique mesurée met à jour des phénomènes d’hybridation entre variantes génétiques. Une structuration génétique temporelle a également été observée pour le gène de l'ARNr 18S. Les implications de ces différentes recherches sont discutées dans le cadre de l’étude de la diversité et de l’écologie des tintinnidés, et plus largement, des protistes marins. / The marine protistan diversity has been historically studied based on morphological characterization but has recently been the object of intense research using molecular approaches. Studies based on the amplification of molecular markers from environmental DNA revealed an outstanding diversity, partly new and uncharacterized. However, the actual extent of this diversity remains poorly known and highly debated. The main goal of this work was to improve our knowledge on protistan diversity to bridge the gap between molecular environmental surveys and classical protistology to better understand the ecology and evolution of unicellular eukaryotes. For this purpose, we used as a model the species-rich order of the tintinnid ciliates (Tintinnida, Ciliophora), which are easily distinguishable because of their secreted shell, the lorica, and commonly found in marine waters all around the globe. A two-year monitoring of the tintinnid populations in the Bay of Villefranche-sur- Mer (Mediterranean Sea, France), combining molecular analyses of the diversity based on single-cells and environmental DNA, gave us the opportunity to describe the tintinnid community composition and its temporal dynamics. In the first part of this work, we constructed a reference molecular phylogeny for the tintinnids including new sequences from 62 specimens of diverse morphologies, for which we amplified and sequenced the ribosomal coding genes (18S, 5.8S and 28S rRNA) and the corresponding intergenic spacers (ITS1 and ITS2). The taxonomic classification of the Tintinnida has been revised based on these molecular data. In the second part, in order to assess the accuracy of molecular-based approaches to describe the natural species assemblages of tintinnids, we compared the morphology-based diversity estimates with those derived from classical (amplification, cloning and Sanger sequencing of the 18S rRNA gene) and more recent (direct pyrosequencing of amplified 18S rRNA genes and ITS regions) molecular approaches. Even if there are still some disagreements between the different methods and/or molecular markers, the culture-independent approaches were efficient to describe the morphological diversity. However, a careful and rigorous analysis of pyrosequencing datasets, including sequence denoising and stringent sequence clustering in Operational Taxonomic Units (OTUs) with well-adjusted parameters, is necessary to avoid overestimating the species number. The third part of the thesis is dedicated to the study of the genetic diversity of tintinnids over a one-year survey in the Bay of Villefranche at five different depths by combining community fingerprinting analysis using denaturing gradient gel electrophoresis (DGGE) with direct PCR amplification and sequencing of 18S, 5.8S, and 28S rRNA genes and ITS regions. These analyses revealed marked seasonal changes, in particular in the sequence abundances of certain OTUs. In addition, despite an enriched phylogenetic reference sequence dataset for the tintinnids, we retrieved two abundant phylotypes without any closely related known species, highlighting the possible ecological relevance of unidentified species. Finally, we studied the intra-specific diversity of populations of the species <Undella claparedei> based on 18S rDNA and ITS direct sequencing of single-cells collected over a period of two years. We detected signals of hybridization and sexual recombination among different genetic variants. We also found genetic structuring of the 18S rRNA gene data differentiating populations collected at different times. The implications of all these results are discussed in the framework of the diversity and ecology of tintinnid ciliates and, more generally, of marine protists

Macrophages are leukocytes of the innate immune system that display great phenotypic plasticity to mediate diverse functions. The ontogeny of tissue resident macrophages has been debated in recent decades. It is now recognised that tissue macrophages can be replenished from embryonically-derived precursors, and/or monocyte intermediates in a tissue specific manner. Interferon Regulatory Factor 5 (IRF5) is a transcription factor that promotes a pro-inflammatory phenotype in macrophages in vitro and in vivo. Indeed, IRF5 contributes to the pathogenesis of experimental inflammatory arthritis, lupus, and obesity via recruitment and activation of effector cells. Research described here as part of this thesis, involves the profiling of the intestinal Mononuclear Phagocyte system to investigate the role of IRF5 in the development of monocyte-derived macrophages in the Colonic Lamina Propria (cLP) which are exclusively replenished by adult Ly6C^hi monocytes. Using Mixed Bone Marrow Chimaeras (MBMCs) we showed that in shared environment Wild-Type (WT) cLP macrophages dominated IRF5-deficient (Irf5^-/-) cLP macrophages in both steady state and inflammation. The development of in vitro bone marrow derived macrophages, and the reconstitution of the haematopoietic compartment in bone marrow of MBMCs were not significantly affected by IRF5 deficiency. IRF5 promoted the accumulation of WT monocytes in the cLP of MBMCs in a process possibly dependent on the CCL2/CCR2 axis. Furthermore, IRF5 expression committed Ly6C^hi monocytes to a pro-inflammatory macrophage fate in the inflamed cLP, characterised by protein expression of the cytokines IL1β, and TNFα, and the expression of Ccl4 and Ccl8 transcripts, whilst loss of IRF5 favoured accumulation of CD11b⁺ IRF4-dependent Dendritic Cells. Of significance, IRF5 expression might have prevented further differentiation of inflammatory macrophages into tissue-resident macrophages, thus supporting an inflammatory state. Irf5-/- mice were protected from Helicobacter hepaticus + αIL10R colitis. Intriguingly, protection from colitis may also be conferred by the presence of Irf5-/- haematopoietic cells, evidenced by WT:Irf5-/- MBMCs . Modulation of IRF5 activity may therefore be a viable therapeutic strategy. RNA sequencing identified that C1q, Cd81, and Ccl8 were upregulated in WT macrophages from MBMC, which may prove therapeutic targets.

abstract: Measuring molecular interaction with membrane proteins is critical for understanding cellular functions, validating biomarkers and screening drugs. Despite the importance, developing such a capability has been a difficult challenge, especially for small molecules binding to membrane proteins in their native cellular environment. The current mainstream practice is to isolate membrane proteins from the cell membranes, which is difficult and often lead to the loss of their native structures and functions. In this thesis, novel detection methods for in situ quantification of molecular interactions with membrane proteins are described. First, a label-free surface plasmon resonance imaging (SPRi) platform is developed for the in situ detection of the molecular interactions between membrane protein drug target and its specific antibody drug molecule on cell surface. With this method, the binding kinetics of the drug-target interaction is quantified for drug evaluation and the receptor density on the cell surface is also determined. Second, a label-free mechanically amplification detection method coupled with a microfluidic device is developed for the detection of both large and small molecules on single cells. Using this method, four major types of transmembrane proteins, including glycoproteins, ion channels, G-protein coupled receptors (GPCRs) and tyrosine kinase receptors on single whole cells are studied with their specific drug molecules. The basic principle of this method is established by developing a thermodynamic model to express the binding-induced nanometer-scale cellular deformation in terms of membrane protein density and cellular mechanical properties. Experiments are carried out to validate the model. Last, by tracking the cell membrane edge deformation, molecular binding induced downstream event – granule exocytosis is measured with a dual-optical imaging system. Using this method, the single granule exocytosis events in single cells are monitored and the temporal-spatial distribution of the granule fusion-induced cell membrane deformation are mapped. Different patterns of granule release are resolved, including multiple release events occurring close in time and position. The label-free cell membrane deformation tracking method was validated with the simultaneous fluorescence recording. And the simultaneous cell membrane deformation detection and fluorescence recording allow the study of the propagation of the granule release-induced membrane deformation along cell surfaces. / Dissertation/Thesis / Doctoral Dissertation Electrical Engineering 2018

This work presents detailed numerical calculations of the dielectrophoretic force in octupolar traps designed for single-cell trapping. A trap with eight planar electrodes is studied for spherical and ellipsoidal particles using an indirect implementation of the boundary element method (BEM). Multipolar approximations of orders one to three are compared with the full Maxwell stress tensor (MST) calculation of the electrical force on spherical particles. Ellipsoidal particles are also studied, but in their case only the dipolar approximation is available for comparison with the MST solution. The results show that the full MST calculation is only required in the study of non-spherical particles. / Singapore-MIT Alliance (SMA)

Each organ of a multicellular organism is unique at the level of its tissues and cells. Furthermore, responses to environmental stimuli or developmental signals occur differentially at the single cell or tissue level. This underlines the necessity of precise investigation of the “building block of life” -the individual cell. Although recently large amount of data concerning different aspects of single cell performance was accumulated, our knowledge about development and differentiation of individual cell within specialized tissue are still far from being complete. To get more insight into processes that occur in certain individual cell during its development and differentiation changes in gene expression during life cycle of A. thaliana leaf hair cell (trichome) were explored in this work. After onset of trichome development this cell changes its cell cycle: it starts endoreduplication (a modified cell cycle in which DNA replication continues in the absence of mitosis and cytokinesis). This makes trichomes a suitable model for studying cell cycle regulation, regulation of cell development and differentiation. Cells of interest were sampled by puncturing them with glass microcapillaries. Each sample contained as few as ten single cells. At first time trichomes in initial stage of trichome development were investigated. To allow their sampling they were specifically labelled by green fluorescent protein (GFP). In total three cell types were explored: pavement cells, trichome initials and mature trichomes. Comparison of gene expression profiles of these cells allowed identification of the genes differentially expressed in subsequent stages of trichome development. Bioinformatic analysis of genes preferentially expressed in trichome initials showed their involvement in hormonal, metal, sulphur response and cell-cycle regulation. Expression pattern of three selected candidate genes, involved in hormonal response and early developmental processes was confirmed by independent method. Effects of mutations in these genes on both trichome and plant development as well as on plant metabolism were analysed. As an outcome of this work novel components in the sophisticated machinery of trichome development and cell cycle progression were identified. These factors could integrate hormone stimuli and network interactions between characterized and as yet unknown members of this machinery. I expect findings presented in this work to enhance and complement our current knowledge about cell cycle progression and trichome development, as well as about performance of the individual cell in general. / Jedes Organ eines vielzelligen Organismus weißt einzigartige Merkmale auf seiner Gewebe und Zellebene auf. Darüber hinaus, werden entwicklungsabhängige sowie aus der Umwelt empfangene Signale zelltypspezifisch interpretiert. Aus dieser Spezialisierung einzelner Zellen ergibt sich somit unmittelbar die Notwendigkeit einzelne Zellen, als Bausteine komplexer Organe, individuell zu untersuchen. Obwohl in den letzten Jahrzehnten große Datenmengen über verschiedene Aspekte einzelner Zellen akkumuliert wurden, ist das Gesamtbild der Differenzierung und Entwicklung individueller Zellen in einem vielzelligen Organismus weitgehend unbekannt. Um der Frage nachzugehen, welche Prozesse sich in einer einzelnen Zelle während ihrer Differenzierung und Entwicklung abspielen, wurden Genexpressionsprofile einzelner Blatthaarzellen der Pflanze Arabidopsis thaliana in verschiedene Entwicklungsstadien erstellt. Nach dem Beginn der Entwicklung einer Protodermalzelle in ein Blatthaar (Trichom) kommt es zu einem Umschalten des Zellzyklus; Endoreduplikation setzt ein. Dies bedeutet, dass DNA repliziert wird, aber keine Zellteilung mehr stattfindet. Aus diesem Grunde eignen sich heranwachsende Trichome besonders gut Mechanismen zu erforschen, die in Verbindung mit der Zellzyklusregulation und Zellentwicklung stehen. Die Inhalte ausgewählter Einzelzellen wurden mit Glasmikrokapillaren extrahiert. Jeweils zehn derartige Einzelzellextrakte wurden daraufhin vereint. Als besonders hervorzuheben gilt, dass es uns in dieser Studie zum ersten mal überhaupt gelang die Inhalte einzelner Trichomzellen in ganz frühen Entwicklungsstadien zu extrahieren und anschließend zu analysieren. Um die Extraktion der Inhalte dieser frühen Zellstadien überhaupt zu ermöglichen, war es erforderlich diese mit dem grün fluoreszierenden Protein (GFP) zu markieren. Neben den Trichominitialzellen wurden ausgewachsene Trichomzellen sowie Epidermiszellen (Pavementzellen) mittels der Einzelzelltechnik untersucht. Ein Vergleich der erstellten Genexpressionsprofile dieser drei Zelltypen ermöglichte es Gene zu identifizieren, die in den ausgewählten Entwicklungsstadien der Trichombildung differentiell induziert wurden. Mittels bioinformatischer Analysemethoden gelang es, Gruppen von Genen zu identifieren, die exklusiv in Trichominitialzellen exprimiert sind und den Kategorien, Hormonregulation, Metallhomeostase, Schwefelstoffwechesol sowie Zellzyklusregulation zuzuordnen sind. Weiterhin wurde das Expressionsmuster dreier ausgewählter Kandidatengene mit alternativen Techniken verifiziert. Die ausgewählten Kandidatengene gehörten den Katergorien, Hormonrespons sowie frühe Entwicklungsprozesse, an. Darüber hinaus wurden Mutanten in allen drei Gene erzeugt und der Einfluss dieser Mutationen auf die Trichomentwicklung analysiert. Ein weiterer Aspekt der Mutantenanalyse lag in der Erstellung von Metabolitenprofilen ausgewählter Mutanten. Als ein wesentliches Ziel dieser Arbeit gelang es mir bisher unbekannte Komponenten in der Trichomentwicklung und damit der Zellzyklusregulation zu identifizieren. Diese neu identifizierten Komponenten führen zu einer Integration der hormonellen Kontrolle der Zellteilung und Entwicklung mit bisher unbekannten Faktoren. Ich erwarte, dass die von mir erbrachten Ergebnisse zu einem tieferen Verständnis der Prozesse, die an der Trichomentwicklung sowie an der Zellzyklusregulation beteiligt sind, beitragen. Insbesondere, zu einem erweiterten Verständnis des Verhaltens individueller Zellen in einem vielzelligen Organismus.