Un des mécanismes principaux de la morphogenèse des organismes est la contraction des réseaux d’actine sous l’effet du moteur moléculaire Myosine II. L’invagination de l’endoderme postérieur de Drosophila est causée par la contraction apicale des cellules par MyoII, mais la cause de sa déformation polarisée est inconnue. Nous avons découvert une vague de Rho1, MyoII et de déformation qui se propage à l’échelle du tissu et sous-tend la déformation de l’endoderme. MyoII est d’abord activée dans le primordium de l’endoderme par un ligand de GPCR, Fog. L’activation apicale de MyoII se propage ensuite à travers l’épithélium dorsal à 2.2 ± 0.2 µm/min. La dynamique de la vague n’est définie ni par les niveaux de Fog ni par leur motif d’expression. A la place, l’activité de MyoII est nécessaire pour l’activation intracellulaire de Rho1 et sa propagation à travers le tissu, indiquant une boucle de rétroaction. Des simulations d’un matériau viscoélastique contractile montrent qu’une boucle de rétroaction basée sur la tension peut générer une vague. Des perturbations de l’environnement mécanique du tissu avec des moyens génétiques ou mécaniques résultent en une augmentation de l’activité de MyoII et une diminution de la vitesse de la vague. Les déformations ou les forces du tissu procurent donc un rétrocontrôle sur l’activation de Rho1/MyoII lors de la vague, contrôlant sa dynamique. A l’échelle cellulaire, la vague de déformation implique la compression basale des cellules et l’étalement et l’adhésion du cortex apical sur la membrane vitelline, suivi d’un détachement. Ainsi la morphogenèse observée émerge de la propagation stimulée mécaniquement d’une vague de déformation 3D. / One of the main mechanisms of organism morphogenesis is the contraction of actin filament networks powered by non-muscle Myosin II motor proteins (MyoII). Drosophila presumptive posterior endoderm invagination is caused by MyoII-dependent apical constriction, but the cause of its polarized deformation is unknown. We unravelled a tissue scale wave of high Rho1 and MyoII activation and deformation which underlies the polarized deformation of the endoderm. MyoII is first activated medio-apically in cells within the endoderm primordium by the GPCR ligand Fog. Subsequently, apical MyoII activation propagates across the dorsal epithelium at a constant speed of 2.2 ± 0.2 µm/min. MyoII wave dynamics are set neither by Fog levels nor expression pattern. Instead, both intracellular Rho1 activation and its propagation across the tissue require sustained MyoII activity, indicating a positive feedback from contractility into Rho1 activity. Through simulations of a contractile viscoelastic material we found that a stress-based feedback loop could generate a wave. Perturbations of the tissue mechanical environment with both genetic and physical means result in an increase in MyoII activity and a strong reduction of the wave speed. Tissue deformation or stress thus provides a feedback onto Rho1/MyoII activity during the wave, controlling its dynamics. At the cell scale, the deformation wave involves cells basal compression and apical cortex spreading and adhering onto the vitelline membrane, followed by de-adhesion, that correlates with MyoII activation and propagation within cells. Thus the observed morphogenesis emerges from a mechanically driven wave of 3D deformation.

<p>Basement membrane (BM) is the thin, dense, highly cross-linked form of extracellular matrix that underlies all epithelia and endothelia, as well as surrounds muscle, nerve and fat. These sheet-like networks function as physiological barriers to maintain tissue homeostasis. During normal developmental processes and immune surveillance, cells invade through BM to establish tissues and fight infection. Similarly, metastatic cancer cells are thought to co-opt normal programs for BM transmigration as they spread from primary tumors and colonize distant tissues. The difficulty of visualizing cell-BM interactions during invasion in vivo has left the cellular and molecular mechanisms used to breach BM undefined. Specialized F-actin-rich matrix-degrading membrane protrusions, termed invadosomes, have been described in cultured invasive cell lines for more 30 years. Invadosomes are hypothesized to mediate BM penetration during cancer metastasis. Despite promising advances in intravital imaging technologies, however, invadosomes have yet to be observed in cells transmigrating BM in vivo, leaving their physiological relevance unclear. Anchor cell invasion in C. elegans is a simple in vivo model of cell invasion that allows for combined visual and genetic analysis of BM transmigration. In this dissertation I develop high-resolution time-lapse imaging approaches to understand the dynamic interactions that occur at the AC-BM interface during invasion. Through the course of this work we identify an integrin-based mechanism that polarizes the AC towards the BM. We further discover protrusive F-actin-based invadosome structures that mediate BM breach during anchor cell (AC) invasion. We find that in most cases only one or two invadosomes penetrate the BM and then transform into an invasive protrusion that guides the AC through a single BM gap. Using genetics and quantitative single-cell image analysis we characterize several molecular regulators of invadosome formation in vivo. Our findings establish an essential role for invadosomes during BM transmigration in vivo, and support the idea that these structures are a core, conserved element of a normal invasive cellular strategy activated during cancer metastasis.</p> / Dissertation

In biology, many different kinds of microscopy are used to study cells. There are many different kinds of transmission microscopy, where light is passed through the cells, that can be used without staining or other treatments that can harm the cells. There is also fluorescence microscopy, where fluorescent proteins or dyes are placed in the cells or in parts of the cells, so that they emit light of a specific wavelength when they are illuminated with light of a different wavelength. Many fluorescence microscopes can take images on many different depths in a sample and thereby build a three-dimensional image of the sample. Fluorescence microscopy can also be used to study particles, for example viruses, inside cells. Modern microscopes often have digital cameras or other equipment to take images or record time-lapse video. When biologists perform experiments on cells, they often record image sequences or sequences of three-dimensional volumes to see how the cells behave when they are subjected to different drugs, culture substrates, or other external factors. Previously, the analysis of recorded data has often been done manually, but that is very time-consuming and the results often become subjective and hard to reproduce. Therefore there is a great need for technology for automated analysis of image sequences with cells and particles inside cells. Such technology is needed especially in biological research and drug development. But the technology could also be used clinically, for example to tailor a cancer treatment to an individual patient by evaluating different treatments on cells from a biopsy. This thesis presents algorithms to find cells and particles in images, and to calculate tracks that show how they have moved during an experiment. We have developed a complete system that can find and track cells in all commonly used imaging modalities. We selected and extended a number of existing segmentation algorithms, and thereby created a complete tool to find cell outlines. To link the segmented objects into tracks, we developed a new track linking algorithm. The algorithm adds tracks one by one using dynamic programming, and has many advantages over prior algorithms. Among other things, it is fast, it calculates tracks which are optimal for the entire image sequence, and it can handle situations where multiple cells have been segmented incorrectly as one object. To make it possible to use information about the velocities of the objects in the linking, we developed a method where the positions of the objects are preprocessed using a filter before the linking is performed. This is important for tracking of some particles inside cells and for tracking of cell nuclei in some embryos.       We have developed an open source software which contains all tools that are necessary to analyze image sequences with cells or particles. It has tools for segmentation and tracking of objects, optimization of settings, manual correction, and analysis of outlines and tracks. We developed the software together with biologists who used it in their research. The software has already been used for data analysis in a number of biology publications. Our system has also achieved outstanding performance in three international objective comparisons of systems for tracking of cells. / Inom biologi används många olika typer av mikroskopi för att studera celler. Det finns många typer av genomlysningsmikroskopi, där ljus passerar genom cellerna, som kan användas utan färgning eller andra åtgärder som riskerar att skada cellerna. Det finns också fluorescensmikroskopi där fluorescerande proteiner eller färger förs in i cellerna eller i delar av cellerna, så att de emitterar ljus av en viss våglängd då de belyses med ljus av en annan våglängd. Många fluorescensmikroskop kan ta bilder på flera olika djup i ett prov och på så sätt bygga upp en tre-dimensionell bild av provet. Fluorescensmikroskopi kan även användas för att studera partiklar, som exempelvis virus, inuti celler. Moderna mikroskop har ofta digitala kameror eller liknande utrustning för att ta bilder och spela in bildsekvenser. När biologer gör experiment på celler spelar de ofta in bildsekvenser eller sekvenser av tre-dimensionella volymer för att se hur cellerna beter sig när de utsätts för olika läkemedel, odlingssubstrat, eller andra yttre faktorer. Tidigare har analysen av inspelad data ofta gjorts manuellt, men detta är mycket tidskrävande och resultaten blir ofta subjektiva och svåra att reproducera. Därför finns det ett stort behov av teknik för automatiserad analys av bildsekvenser med celler och partiklar inuti celler. Sådan teknik behövs framförallt inom biologisk forskning och utveckling av läkemedel. Men tekniken skulle också kunna användas kliniskt, exempelvis för att skräddarsy en cancerbehandling till en enskild patient genom att utvärdera olika behandlingar på celler från en biopsi. I denna avhandling presenteras algoritmer för att hitta celler och partiklar i bilder, och för att beräkna trajektorier som visar hur de har förflyttat sig under ett experiment. Vi har utvecklat ett komplett system som kan hitta och följa celler i alla vanligt förekommande typer av mikroskopi. Vi valde ut och vidareutvecklade ett antal existerande segmenteringsalgoritmer, och skapade på så sätt ett heltäckande verktyg för att hitta cellkonturer. För att länka ihop de segmenterade objekten till trajektorier utvecklade vi en ny länkningsalgoritm. Algoritmen lägger till trajektorier en och en med hjälp av dynamisk programmering, och har många fördelar jämfört med tidigare algoritmer. Bland annat är den snabb, den beräknar trajektorier som är optimala över hela bildsekvensen, och den kan hantera fall då flera celler felaktigt segmenterats som ett objekt. För att kunna använda information om objektens hastighet vid länkningen utvecklade vi en metod där objektens positioner förbehandlas med hjälp av ett filter innan länkningen utförs. Detta är betydelsefullt för följning av vissa partiklar inuti celler och för följning av cellkärnor i vissa embryon. Vi har utvecklat en mjukvara med öppen källkod, som innehåller alla verktyg som krävs för att analysera bildsekvenser med celler eller partiklar. Den har verktyg för segmentering och följning av objekt, optimering av inställningar, manuell korrektion, och analys av konturer och trajektorier. Vi utvecklade mjukvaran i samarbete med biologer som använde den i sin forskning. Mjukvaran har redan använts för dataanalys i ett antal biologiska publikationer. Vårt system har även uppnått enastående resultat i tre internationella objektiva jämförelser av system för följning av celler. / <p>QC 20161125</p>

(v anglickém jazyce) Development of tooth primordia in mice is an important model for study of odontogenesis. Several dental rudiments develop during the mouse embryogenesis. These structures develop in functional teeth in their phylogenetically older relatives. Similarly, we can initiate growth of teeth from these germs in some mutant mice. In my diploma thesis we have focused on the importance of rudimentary structures with odontogenic potential in postnatal individuals. As a model of development, we have chosen a cell population originating from rudimentary primordia MS (mesial segment) that develops in diastema of the lower jaw during the embryonic day 12.5. Using the inducible Cre-lox technology we have marked the cells which are part of the signal domain of primordia at this time. As a marker of these cells we have used gene Shh. We have found out that these cells persist prenataly and also postnatally. Further we have isolated this cell area and we have tested it using a variety of methods. We have shown that in the cells of postnatal individual are expressed markers of stem cells (Sox2, Bmi1, Gli1) and also genes for major enamel matrix structural proteins: ameloblastin and amelogenin. The same stem cell markers are also expressed in vitro culture of the isolated cells. This cell population...

Nous présentons dans la première partie du document une étude portant sur l'imagerie de temps de vie de fluorescence sur structures dynamiques dans le domaine de fréquence (FD FLIM). Une mesure en FD FLIM est définie par une série d'images présentant une variation d'intensité sinusoïdale. La variation d'un temps de vie se traduit par une variation dans la phase de la sinusoïde décrite par l'intensité. Notre étude comporte deux contributions principales: une modélisation du processus de formation de l'image et du bruit inhérent au système d'acquisition (capteur ICCD) ; une méthode robuste d'estimation du temps vie sur des structures mobiles et des vésicules intracellulaires. Nous présentons ensuite une étude en microscopie de fluorescence portant sur la quantification du transport hétérogène dans un environnement intracellulaire dense. Les transitions entre la diffusion Brownienne dans le cytoplasme et les transports actifs supportés par le cytosquelette sont en effet des scénarios très couramment observés dans des cellules vivantes. Nous montrons que les algorithmes classiques de suivi d'objets nécessaires dans ce contexte, ne sont pas conçus pour détecter les transitions entre ces deux types de mouvement. Nous proposons donc un nouvel algorithme, inspiré de l'algorithme u-track [Jaqaman et al., 2008], qui s'appuie sur plusieurs filtrages de Kalman adaptés à différents types de transport (Brownien, Dirigé ...), indépendamment pour chaque objet suivi. Nous illustrons sur séquences simulées et expérimentales (vimentine, virus) l'aptitude de notre algorithme à détecter des mouvements dirigés rares. / We propose in this manuscript a study of the instrumentation required for the quantification in frequency domain fluorescence lifetime imaging microscopy (FD FLIM). A FD FLIM measurement is defined as a series of images with sinusoidal intensity variations. The fluorescence lifetime is defined as the nanosecond-scale delay between excitation and emission of fluorescence. We propose two main contributions in the area: a modeling of the image process and noise introduced by the acquisition system (ICCD sensor); a robust statistical method for lifetime estimation on moving structures and intracellular vesicles. The second part presents a contribution to the tracking of multiple particles presenting heterogeneous transports in dense conditions. We focus here on the switching between confined diffusion in the cytosol and motor-mediated active transport in random directions. We show that current multiple model filtering and gating strategies fail at estimating unpredictable transitions between Brownian and directed displacements. We propose a new algorithm, based on the u-track algorithm [Jaqaman et al., 2008], based on a set of Kalman filters adapted to several motion types, for each tracked object. The algorithm has been evaluated on simulated and real data (vimentin, virus) data. We show that our method outperforms competing methods in the targeted scenario, but also on more homogeneous types of dynamics challenged by density.

Les théories évolutives du vieillissement et la théorie du «disposable soma» en particulier ont été la base théorique d'une avance récente de recherche sur le vieillissement animal. Pourtant, leur hypothèse centrale sur la physiologie de l'entretien et de la réparation cellulaires n'a pas été testée empiriquement. Dans cette thèse, j'ai analysé la physiologie du vieillissement de Escherichia coli sous restriction de carbone, en tant que système modèle pour valider empiriquement les théories évolutives du vieillissement. Les outils microfluidiques sont utilisés pour isoler de larges populations de cellules isolées de E. coli et pour obtenir une restriction carbonée homogène. Malgré le partage de la même génétique et des conditions environnementales, les cellules individuelles de la population présentent des variations significatives de la durée de vie et de cause de décès. Les distributions de durée de vie présentent des caractéristiques typiques du processus de vieillissement, souvent observées en études démographiques animales et humaines. Le taux de vieillissement peut être modifié par des mutations de la réponse générale au stress. Comme la longévité induite par la restriction calorique, la réponse générale au stress prolonge la durée de vie d'E.coli en atténuant l'effet du vieillissement au détriment des besoins immédiats des cellules. Un modèle quantitatif de ce compromis physiologique est construit et correctement prédit des observations expérimentales. En conclusion, je confirme la théorie du «disposable soma» du vieillissement avec les détails physiologiques du vieillissement de E.coli en famine. / The evolutionary theories of aging and the disposable soma theory in particular, have been the theoretical basis for a recent surge of animal aging research. Yet their central assumption about the physiology of cellular maintenance and repair has not been empirically tested. In this thesis, I analysed the physiology of E.coli aging under carbon starvation, as a model system to empirically validate evolutionary theories of aging. Microfluidic tools are used to isolate large populations of isogenic single E.coli cells, and to achieve homogenous carbon starvation. Despite sharing the same genetical background and environmental conditions, individual cells in the population exhibit significant variations in lifespans and causes of death. Distributions of lifespans exhibit typical features of the aging process, often seen in animal and human demographic studies. The rate of aging can be altered by mutations of the general stress response pathway. Resembling caloric restriction induced longevity, the general stress response pathway extends starvation lifespans of E.coli by attenuating the effect of aging at the expense of immediate needs of the cells. A quantitative model of this physiological trade-off is constructed and correctly predicted experimental observations. As a conclusion, I substantiate the disposable soma theory of aging with the physiological details of E.coli aging in starvation.