Transkription är stokastisk, där utbrottsmässiga episoder av RNA-transkription genererar RNA-molekyler. Trots att detta är en kärndel av eukaryotiskt liv, är lite känt om hur DNA-bindande transkriptionsfaktorer och transkriptionella kofaktorer formar gen-specifik transkriptionell utbrottskinetik. Syftet med detta examensarbete var att tyda rollerna hos kofaktorerna Med14 och P300/CBP inom transkriptionell utbrottskinetik. För detta ändamål användes Auxin inducible degron systemet för snabb nedbrytning av Med14 eller P300/CBP-proteiner i HCT116-celler, följt av Smart-seq3xpress single cell-RNA-sekvensering. Ett särskild fokus i denna avhandling var även att utvärdera förmågan att härleda direkta  genuttrycksförändringar genom analys av introniska reads – detta då introner ko-transkriptionellt splitsas och dess nyttjande skulle fånga effekter av mycket närliggande transkription. Resultaten visar en tidsberoende minskning av introniskt innehåll och en nedreglering av genuttryck för majoriteten av generna i de behandlade cellinjerna, medan opåverkade kontroller inte visar sådana trender. Utbrottskinetikresultaten indikerar att det inte finns någon korrelation mellan P300/CBP-pertuberade cellers geners ursprungliga utbrottsstorlek och några trender i genuttryckets relativa förändring, medan detsamma kan sägas för Med14-pertuberade cellers geners utbrottsfrekvens. Svaga trender från P300/CBP-påverkade cellers utbrottskinetik och uttrycksändring kan antyda att deras utbrottsfrekvens och inte utbrottsstorlek har påverkats. Resultaten antyder att perturbationen var framgångsrik och att P300/CBP inte påverkar utbrottsstorlek samt att Med14 kan reglera utbrottsfrekvensen för alla påverkade gener i lika hög grad. Vidare forskning behövs inom utbrottskinetikdata för att utöka vår förståelse av denna studies implikationer gällande Med14:s och P300/CBP:s reglerande roller på transkriptionella utbrott. / Transcription is stochastic with episodes of RNA transcription generating bursts of RNA molecules. Despite being a core part of eukaryotic life, little is known about how DNA-binding transcription factors and transcriptional co-factors shape gene-specific transcriptional bursting kinetics. The aim of this thesis was to decipher the roles of the co-factors Med14 and P300/CBP in transcriptional burst kinetics. To this end, the Auxin inducible degron system was used for rapid Med14 or P300/CBP protein degradation in HCT116 cells, followed by Smart-seq3xpress single-cell RNA-sequencing. A particular focus of this thesis was to evaluate the abilities to infer direct gene expression changes by analysis of intronic reads – since introns are co-transcriptionally spliced and would capture very recent transcription. Results show a time dependent decrease of intronic contents and a downregulation in gene expression for a majority of genes in the perturbed cell lines, while unperturbed controls show no such trends. Bursting kinetics results indicate that there is no correlation between P300/CBP perturbed cells’ gene’s original bursting size and any trends in gene expression fold change while the same can be said for Med14 perturbed cell’s gene’s burst frequency. Weak trends from P300/CBP perturbed cells’ bursting kinetics and expression fold change could imply that their bursting frequency and not bursting size has been affected. The results imply that the perturbation was successful and that P300/CBP does not affect bursting size as well as that Med14 could regulate bursting frequency for all affected genes to an equal degree. Further research is needed into the bursting kinetics data to expand our understanding of this study’s implications regarding regulatory roles of Med14 and P300/CBP on transcriptional bursting.

Ziel dieser Doktorarbeit ist eine umfassende Untersuchung der Heterogenität von Mikroglia aus morphologischer, elektrophysiologischer und transkriptioneller Perspektive mit dem Schwerpunkt auf Unterschiede zwischen weißer und grauer Substanz. Im ersten Kapitel diskutiere ich die morphologische Heterogenität von Mikroglia mit dem Fokus auf Satelliten- und Parenchymale-Mikroglia. Wir führten eine eingehende Analyse mehrerer Hirnareale durch und quantifizierten die Anzahl der Satellitenmikroglia, die mit verschiedenen neuronalen Subtypen in Kontakt stehen. Wir fanden heraus, dass die Anzahl der Satellitenmikroglia stark mit der neuronalen Dichte eines bestimmten Bereichs korreliert. Im zweiten Kapitel dieser Arbeit untersuche ich die transkriptionelle Heterogenität von Mikroglia aus weißer und grauer Substanz, wobei ich die in Gliazellen neu etablierte Patch-seq-Methode anwende. Diese Methode ermöglicht es eine Kombination aus morphologischen, lektrophysiologischen und transkriptionellen Profilen einzelner Zellen zu erhalten, die es erlauben, zelluläre Unterschiede zu charakterisieren. Wir identifizieren einen zellulären Subtyp, wenn wir den Patch-seq-Datensatz mit FACS-basierter Einzelzell-RNA-seq-Datensätzen vergleichen. Dieser Subtyp gehört eindeutig zu dissoziierten Gewebeproben und ist durch die Expression von Stress-assoziierten Genen charakterisiert. Im dritten Kapitel wende ich mich der Frage zu, wie Transkripte mittels SLAM-seq nachverfolgt werden können, die während der Dissoziation des Gewebes entstehen. Das Verfahren ermöglicht es mRNA, die während der Dissoziation der Probe entsteht, metabolisch zu markieren, rechnerisch zu identifizieren und zu entfernen. Indem wir die markierten Transkripte aus dem Mikroglia “entfernen”, beobachten wir, dass ein „aktivierter Mikroglia“-Subtyp zur allgemeinen Mikroglia-Population gehört. / The aim of this doctoral work is to provide a comprehensive study and overview on the topic of the heterogeneity of microglia in the normal adult mouse brain from the morphological, electrophysiological and transcriptional perspective with the focus on differences between white and grey matters. In the first Chapter, I discuss the morphological heterogeneity of microglia in the brain with the focus on two morphologically distinct classes: satellite and parenchymal microglia. We performed an in-depth analysis of multiple brain areas and quantified the number of satellite microglia which is in contact with different neuronal subtypes. We found that satellite microglia numbers are highly correlated with neuronal densities of a certain area, while showing no preferences for any of the neuronal types. In Chapter two of this work, I study transcriptional heterogeneity of microglia from white and grey matters. For this I am employing Patch-seq, which we newly established in glial cells. This method allows a combination of morphological, electrophysiological and transcriptional profiles of single cells to assess their differences. When comparing Patch-seq dataset to the previously published FACS isolated single cell RNA-seq microglia datasets, we find a subtype of cells which uniquely belongs to FACS sample and is characterized by expression of stress-associated genes. This finding points out to the fact of dissociation-related artifacts in the single cell RNA-seq data which are not present in situ. In the third chapter, I identified transcripts which are induced during the dissociation of the tissue by employing the SLAM-seq method. This procedure allows to metabolically label newly transcribed mRNA and computationally remove transcripts from the sample. By removing the labeled transcripts from the dataset of cells isolated from the hippocampus via enzymatic dissociation, we observe that an “activated microglia” subtype merges with the general microglia population.

Preimplantation genetic diagnosis (PGD) refers to the testing of embryos produced through in vitro fertilization (IVF) in order to identify those unaffected by a specific genetic disorder or chromosomal abnormality. In this study, different methodologies were examined and developed for performance of PGD. Investigation of various whole genome amplification (WGA) methods identified multiple displacement amplification as a reliable method for genotyping single cells. Furthermore, this technology was shown to be compatible with subsequent analysis using single nucleotide polymorphism (SNP) microarrays. Compared to conventional methods used in this study to perform single cell diagnosis (e.g. multiplex PCR), WGA techniques were found to be advantageous since they streamline the development of PGD protocols for couples at high risk of transmitting an inherited disorder and simultaneously offer the possibility of comprehensive chromosome screening (CCS). This study also aimed to develop a widely applicable protocol for accurate typing of the human leukocyte antigen (HLA) region with the purpose of identifying embryos that will be HLA-identical to an existing sibling affected by a disorder that requires haematopoietic stem cell transplantation. Additionally, a novel microarray platform was developed that, apart from accurate CCS, was capable of reliably determining the relative quantity of mitochondrial DNA in polar bodies removed from oocytes and single cells biopsied from embryos. Mitochondria are known to play an important role in oogenesis and preimplantation embryogenesis and their measurement may therefore be of clinical relevance. Moreover, real-time PCR was used for development of protocols for CCS, DNA fingerprinting of sperm samples and embryos and the relative quantitation of telomere length in embryos (since shortened telomeres might be associated with reduced viability). As well as considering the role of genetics in terms of oocyte and embryo viability assessment and the diagnosis of inherited genetic disorders, attention was given to a specific gene (Phospholipase C zeta) of relevance to male infertility. A novel mutation affecting the function of the resulting protein was discovered highlighting the growing importance of DNA sequence variants in the diagnosis and treatment of infertility.

Lors du développement, la coordination d’évènements moléculaires et cellulaires mène à la production du cortex qui orchestre les fonctions sensori-motrices et cognitives. Son développement s’effectue par étapes : les cellules gliales radiaires (RGs) – les cellules souches neurales (NSCs) du cerveau en développement – et les cellules progénitrices de la zone ventriculaire (VZ) et de la zone sous ventriculaire (SVZ) génèrent séquentiellement des vagues distinctes de nouveaux neurones qui formeront les différentes couches corticales. Autour de la naissance, les RGs changent de devenir et produisent des cellules gliales. Cependant, une fraction persiste tout au long de la vie dans la SVZ qui borde le ventricule, perdant au passage leur morphologie radiale. Ces NSCs produisent ensuite les différents sous types d’interneurones du bulbe olfactif ainsi que des cellules gliales en fonction de leur origine spatiale dans la SVZ. Ces observations soulèvent d’importantes questions non résolues sur 1) le codage transcriptionnel régulant la régionalisation de la SVZ, 2) le potentiel des NSCs postnatales dans la réparation cérébrale, et 3) le lignage et les spécificités transcriptionnelles entre les NSCs et leur descendants. Mon travail de doctorat repose sur une étude transcriptionnelle des domaines de la SVZ postnatale. Celle-ci soulignait le fort degré d’hétérogénéité des NSCs et progéniteurs et identifiait des régulateurs transcriptionnels clés soutenant la régionalisation. J’ai développé des approches bio-informatiques pour explorer ces données et connecter l’expression de facteurs de transcription (TFs) avec la genèse régionale de lignages neuraux distincts. J’ai ensuite développé un modèle d’ablation ciblée pour étudier le potentiel régénératif des progéniteurs postnataux dans divers contextes. Finalement, j’ai participé au développement d’une procédure pour explorer et comparer des progéniteurs pré et postnataux à l’échelle de la cellule unique. Objectif 1 : Des expériences de transcriptomique et de cartographie ont été réalisées pour étudier la relation entre l’expression régionale de TFs par les NSCs et l’acquisition de leur devenir. Nos résultats suggèrent un engagement précoce des NSCs à produire des types cellulaires définis selon leur localisation spatiale dans la SVZ et identifient HOPX comme un marqueur d’une sous population biaisé à générer des astrocytes. Objectif 2 : J’ai mis au point un modèle de lésion corticale qui permet l’ablation ciblée de neurones de couches corticales définies pour étudier la capacité régénérative et la spécification appropriée des progéniteurs postnataux. Une analyse quantitative des régions adjacentes, incluant la région dorsale de la SVZ, a révélé une réponse transitoire de progéniteurs définis. Objectif 3 : Nous avons développé la lignée de souris transgénique Neurog2CreERT2Ai14, qui permet le marquage de cohortes de progéniteurs glutamatergiques et de leurs descendants. Nous avons montré qu’une large fraction de ces progéniteurs persiste dans le cerveau postnatal après la fermeture de neurogénèse corticale. Ils ne s’accumulent pas pendant le développement embryonnaire mais sont produits par des RGs qui persistent après la naissance dans la SVZ et qui continuent de générer des neurones corticaux, bien que l’efficacité soit faible. Le séquençage d’ARN sur cellule unique a révélé une dérégulation transcriptionnelle qui corrèle avec le déclin progressif observé in vivo de la neurogénèse corticale. Ensemble, ces résultats soulignent le potentiel des études transcriptomiques à résoudre mais aussi à soulever des questions fondamentales comme les changements trancriptionnels intervenant dans une population de progéniteurs au cours du temps et participant aux changements de leur destinée. Cette connaissance sera la clé du développement d’approches novatrices pour recruter et promouvoir la génération de types cellulaires spécifiques, incluant les sous-types neuronaux dans un contexte pathologique. / During development, a remarkable coordination of molecular and cellular events leads to the generation of the cortex, which orchestrates most sensorimotor and cognitive functions. Cortex development occurs in a stepwise manner: radial glia cells (RGs) - the neural stem cells (NSCs) of the developing brain - and progenitor cells from the ventricular zone (VZ) and the subventricular zone (SVZ) sequentially give rise to distinct waves of nascent neurons that form cortical layers in an inside-out manner. Around birth, RGs switch fate to produce glial cells. A fraction of neurogenic RGs that lose their radial morphology however persists throughout postnatal life in the subventricular zone that lines the lateral ventricles. These NSCs give rise to different subtypes of olfactory bulb interneurons and glial cells, according to their spatial origin and location within the postnatal SVZ. These observations raise important unresolved questions on 1) the transcriptional coding of postnatal SVZ regionalization, 2) the potential of postnatal NSCs for cellular regeneration and forebrain repair, and 3) the lineage relationship and transcriptional specificities of postnatal NSCs and of their progenies. My PhD work built upon a previously published comparative transcriptional study of defined microdomains of the postnatal SVZ. This study highlighted a high degree of transcriptional heterogeneity within NSCs and progenitors and revealed transcriptional regulators as major hallmarks sustaining postnatal SVZ regionalization. I developed bioinformatics approaches to explore these datasets further and relate expression of defined transcription factors (TFs) to the regional generation of distinct neural lineages. I then developed a model of targeted ablation that can be used to investigate the regenerative potential of postnatal progenitors in various contexts. Finally, I participated to the development of a pipeline for exploring and comparing select populations of pre- and postnatal progenitors at the single cell level. Objective 1: Transcriptomic as well as fate mapping were used to investigate the relationship between regional expression of TFs by NSCs and their acquisition of distinct neural lineage fates. Our results supported an early priming of NSCs to produce defined cell types depending of their spatial location in the SVZ and identified HOPX as a marker of a subpopulation biased to generate astrocytes. Objective 2: I established a cortical lesion model, which allowed the targeted ablation of neurons of defined cortical layers to investigate the regenerative capacity and appropriate specification of postnatal cortical progenitors. Quantitative assessment of surrounding brain regions, including the dorsal SVZ, revealed a transient response of defined progenitor populations. Objective 3: We developed a transgenic mouse line, i.e. Neurog2CreERT2Ai14, which allowed the conditional labeling of birth-dated cohorts of glutamatergic progenitors and their progeny. We used fate-mapping approaches to show that a large fraction of Glu progenitors persist in the postnatal forebrain after closure of the cortical neurogenesis period. Postnatal Glu progenitors do not accumulate during embryonal development but are produced by embryonal RGs that persist after birth in the dorsal SVZ and continue to give rise to cortical neurons, although with low efficiency. Single-cell RNA sequencing revealed a dysregulation of transcriptional programs, which correlates with the gradual decline in cortical neurogenesis observed in vivo. Altogether, these data highlight the potential of transcriptomic studies to unravel but also to approach fundamental questions such as transcriptional changes occurring in a population of progenitors over time and participating to changes in their fate potential. This knowledge will be key in developing innovative approaches to recruit and promote the generation of selected cell types, including neuronal subtypes in pathologies.

L'expression des gènes dans une cellule a longtemps été observable uniquement à travers des quantités moyennes mesurées sur des populations. L'arrivée des techniques «single-cell» permet aujourd'hui d'observer des niveaux d'ARN et de protéines dans des cellules individuelles : il s'avère que même dans une population de génome identique, la variabilité entre les cellules est parfois très forte. En particulier, une description moyenne est clairement insuffisante étudier la différenciation cellulaire, c'est-à-dire la façon dont les cellules souches effectuent des choix de spécialisation. Dans cette thèse, on s'intéresse à l'émergence de tels choix à partir de réseaux de régulation sous-jacents entre les gènes, que l'on souhaiterait pouvoir inférer à partir de données. Le point de départ est la construction d'un modèle stochastique de réseaux de gènes capable de reproduire les observations à partir d'arguments physiques. Les gènes sont alors décrits comme un système de particules en interaction qui se trouve être un processus de Markov déterministe par morceaux, et l'on cherche à obtenir un modèle statistique à partir de sa loi invariante. Nous présentons deux approches : la première correspond à une approximation de champ assez populaire en physique, pour laquelle nous obtenons un résultat de concentration, et la deuxième se base sur un cas particulier que l'on sait résoudre explicitement, ce qui aboutit à un champ de Markov caché aux propriétés intéressantes / Gene expression in a cell has long been only observable through averaged quantities over cell populations. The recent development of single-cell transcriptomics has enabled gene expression to be measured in individual cells: it turns out that even in an isogenic population, the molecular variability can be very important. In particular, an averaged description is not sufficient to account for cell differentiation. In this thesis, we are interested in the emergence of such cell decision-making from underlying gene regulatory networks, which we would like to infer from data. The starting point is the construction of a stochastic gene network model that is able to explain the data using physical arguments. Genes are then seen as an interacting particle system that happens to be a piecewise-deterministic Markov process, and our aim is to derive a tractable statistical model from its stationary distribution. We present two approaches: the first one is a popular field approximation, for which we obtain a concentration result, and the second one is based on an analytically tractable particular case, which provides a hidden Markov random field with interesting properties

Les progrès technologiques récents en imagerie par résonance magnétique (IRM) ont ouvert la voie à une résolution spatiale de l’ordre de quelques microns, et donc à l’imagerie de cellules biologiques. Dans le cadre de ce projet, nous avons réalisé des expériences de microscopie IRM sur le système nerveux de l’aplysie (Aplysia californica), particulièrement adapté de par sa simplicité et de par la très grande taille de ses neurones, en vue d’étudier des processus à échelle cellulaire avec divers contrastes IRM. Les expériences d’imagerie ont été effectuées sur un aimant horizontal 17.2 Tesla, à des résolutions spatiales jusqu’à 25 µm isotrope. Le travail initial a consisté en la conception et fabrication de micro-antennes radiofréquences adaptées à la taille de neurones uniques et de ganglions. La première partie du projet a porté sur l’utilisation de l’ion manganèse (Mn2+) comme traceur de réseaux neuronaux dans le ganglion buccal de l’aplysie. Le manganèse (Mn) est un agent de contraste IRM qui pénètre dans les neurones par les canaux de calcium. La cartographie des projections axonales des neurones moteurs du ganglion dans chacun des nerfs périphériques a été établie. Il a également été démontré l’existence d’un transport actif du Mn2+ au sein du réseau neuronal activé par le neurotransmetteur dopamine. Dans un second temps, on s’est intéressé à deux méthodes de mesure de diffusion par IRM, à échelle microscopique. D’une part, un mécanisme de pondération en diffusion, DESIRE (Diffusion Enhancement of SIgnal and REsolution), original et particulièrement adapté à des échantillons petits, a été exploré. La séquence DESIRE a été implémentée en deux dimensions et testée avec succès sur fantôme. Le rehaussement mesuré était en accord avec les prévisions théoriques. Le grand défi à venir sera d’utiliser cette séquence pour acquérir des images de tissu biologique pondérées en diffusion avec un contraste unique. D’autre part, une séquence plus « classique » a été implémentée pour mesurer le coefficient de diffusion apparent (ADC) dans le tissu nerveux. Il s’agit d’une DP-FISP (Diffusion Prepared Fast Imaging with Steady-state free Precession) en trois dimensions, qui répond aux critères de résolution spatiale et de rapidité, avec un minimum d’artefacts. Cette séquence a permis d’étudier l’évolution de l’ADC de l’eau à différentes échelles du tissu nerveux en réponse à un stress cellulaire. Les deux sollicitations retenues étaient un choc hypotonique ou l’ajout d’ouabaïne. Des mesures d’ADC ont été effectuées sur des corps neuronaux isolés et sur du tissu de ganglion, avant et après sollicitation. Les deux types de stress ont entraîné une augmentation de l’ADC dans la cellule et une diminution globale de l’ADC dans le tissu. Ces résultats soutiennent l’hypothèse que la diffusion ralentie de l’eau habituellement observée dans un tissu ischémié (ou dans d’autres conditions associées à un gonflement cellulaire) est due à l’augmentation de surface membranaire. / Recent progress in magnetic resonance imaging (MRI) has opened the way for micron-scale resolution, and thus for imaging biological cells. In this thesis work, we performed magnetic resonance microscopy (MRM) on the nervous system of Aplysia californica, a model particularly suited due to its simplicity and to its very large neuronal cell bodies, in the aim of studying cellular-scale processes with various MR contrasts. Experiments were performed on a 17.2 Tesla horizontal magnet, at resolutions down to 25 µm isotropic. Initial work consisted in conceiving and building radiofrequency microcoils adapted to the size of single neurons and ganglia. The first major part of the project consisted in using the manganese ion (Mn2+) as neural tract tracer in the buccal ganglia of Aplysia. Manganese is an MR contrast agent that enters neurons via voltage-gated calcium channels. We performed the mapping of axonal projections from motor neurons into the peripheral nerves of the buccal ganglia. We also confirmed the existence of active Mn2+ transport inside the neural network upon activation with the neurotransmitter dopamine. In the second major part of the project, we tested the potential of two diffusion MRI sequences for microscopy. On the one hand, we explored a very original mechanism for diffusion weighting, DESIRE (Diffusion Enhancement of SIgnal and REsolution), particularly suited for small samples. The two-dimensional DESIRE sequence was implemented and successfully tested on phantoms. The measured enhancement was consistent with theoretical predictions. Using this sequence to produce diffusion weighted images with an unprecedented contrast in biological tissue remains a challenge. On the other hand, a more “standard” sequence was implemented to measure the apparent diffusion coefficient (ADC) in nervous tissue with MRM. This sequence was a three-dimensional DP-FISP (Diffusion Prepared Fast Imaging with Steady-state free Precession), which met criteria for high resolution in a short acquisition time, with minimal artifacts. Using this sequence, we studied the changes in water ADC at different scales in the nervous system, triggered by cellular challenges. The challenges were hypotonic shock or exposure to ouabain. ADC measurements were performed on single isolated neuronal bodies and on ganglia tissue, before and after challenge. Both types of stress produced an ADC increase inside the cell and an ADC decrease at tissue level. The results favor the hypothesis that the increase in membrane surface area associated with cell swelling is responsible for the decrease of water ADC in tissue, typically measured in ischemia or other conditions associated with cell swelling.

The loss of efficiency and performance of bioprocesses on scale-up is well known, but not fully understood. This work addresses this problem, by studying the effect of some fermentation gradients (pH, glucose and oxygen) at a larger scale in a bench-scale two compartment reactor (PFR + STR) using the cadaverine-producing recombinant bacterium, Corynebacterium glutamicum DM1945 Δact3 Ptuf-ldcC_OPT. The initial scale down strategy increased the magnitude of these gradients by only increasing the mean cell residence time in the plug flow reactor (τ_PFR). The cell growth and product related rate constants were compared as the τ_PFR was increased; differences were significant in some cases, but only up to 2 min residence time. For example, losses in cadaverine productivity when compared to the control fed-batch fermentation on average for the τ_PFR of 1 min, 2 min and 5 min were 25 %, 42 % and 46 % respectively. This indicated that the increasing the τ_PFR alone does not necessarily increase the magnitude of fermentation gradients. The new scale-down strategy developed here, increased the magnitude of fermentation gradients by not only increasing the τ_PFR, but also considering the mean frequency at which the bacterial cells entered the PFR section (f_m). The f_m was kept constant by reducing the broth volume in the STR. Hence, the bacterial cells also spent shorter times in the well mixed STR, as the τ_PFR was increased (hypothesised as giving the bacterial cells less time to recover the non-ideal PFR section of the SDR). On adoption of this strategy cadaverine productivity decreases for the τ_PFR of 1 min, 2 min and 5 min were 25 %, 32 % and 53 % respectively. Thus, highlighting that loss in performance is most likely to occur as the magnitude of heterogeneity within the fermentation environment increases. However, Corynebacterium glutamicum DM1945 Δact3 Ptuf-ldcC_OPT did show some resilience in its biomass productivity. It was only marginally affected in the harshest of conditions simulated here.

The two defining features of mouse embryonic stem (ES) cells are self-renewal and naive pluripotency, the ability to give rise to all cell lineages in the adult body. In addition to being a unique and interesting cell type, pluripotent ES cells have demonstrated their potential for continued advancements in biomedical science. Currently, there is an improved understanding in the chemical signals and the gene regulatory network responsible for the maintenance of ES cells in the naive pluripotent state. However, less is understood about how ES cells exit pluripotency. My main aim is to study the dynamics and the factors affecting the irreversible exit from pluripotency. Expression of the reporter Rex1-GFPd2, which is inactivated upon exit from naive pluripotency, was analyzed by quantitative long-term single-cell imaging over many generations. This technique allowed chemical, physical, and genealogical information to be recorded during the transition to exit. Culture conditions that provided homogeneous populations were used in all assays and these data were validated against bulk-culture data where appropriate. Changes in real-time cell behavior were seen in cell-cell contact, motility, and cell-cycle duration. Undifferentiated ES cells form tightly joined colonies, with cells that exhibit low motility and a constant cell-cycle duration. Exit is associated with increasing cell motility, decreased cell-cell contact, and an acceleration in cell proliferation. The onset of exit is associated with a sudden and irreversible inactivation of the Rex1-GFPd2 reporter. This inactivation is asynchronous, as it occurs at different times and in different generations during ES cell differentiation. However, examination of daughter cells generated from the same mother revealed a high level of synchronicity. Further investigation revealed that high levels of correlation in cell-cycle duration and Rex1-GFPd2 expression exist between differentiating sister and cousin cells, providing strong evidence that cell potency is inherited symmetrically in cell divisions during exit $\textit{in vitro}$. How cells change fate is a fundamental question in developmental biology. Knowing the cellular dynamics during the transition out of naive pluripotency is important for harnessing the potential of ES cells and understanding how cell fate decisions are made during embryonic development. The quantification of the timing of exit from naive pluripotency coupled with identifiable changes in cellular behaviors, such as motility, cell size, and cell-cycle duration, enhances the understanding of how cell fate changes are regulated during directed differentiation.

Cell mass is an important indicator of cell health and status. A diverse set of techniques have been developed to precisely measure the masses of single cells, with varying degrees of technical complexity and throughput. Here, the development of a non-invasive, label-free optical technique, termed Live-Cell Interferometry (LCI), is described. Several applications are presented, including an evaluation of LCI’s utility for assessing drug response heterogeneity in patient-derived melanoma lines and the measurement of CD3+ T cell kinetics during hematopoietic stem cell transplantation. The characterization of mast cells during degranulation, the measurement of viral reactivation kinetics in Kaposi’s Sarcoma, and drug response studies in patient-derived xenograft models of triple-negative breast cancer are also discussed. Taken together, data from these studies highlight LCI’s versatility as a tool for clinical, translational, and basic research applications.

The occupational exposures of sewage workers are complex and variable, and include a great variety of biological and chemical agents. Previous research has focused mostly on infections and various symptoms among sewage workers, e.g. abdominal and respiratory symptoms. At several sewage plants in Sweden, concern arose about occupational cancer, specifically cancer of the stomach, the kidney, and the lung. The aim of this study was to study the cancer incidence among municipal sewage workers, some exposures that might be connected with cancer risk, and self reported abdominal and respiratory symptoms. In a cohort of municipal sewage workers there was no increase in the overall incidence of cancer when compared with the general population. However, there was a slight increase in the incidence of prostate cancer, but not in the sites of original concern among the workers. Infection by the gastric carcinogen Helicobacter pylori (determined from the presence of IgG antibodies in serum against H pylori) was no more prevalent in sewage workers than in comparable referents. Neither were sewage workers more exposed to genotoxic agents than comparable referents, as measured by the alkaline single cell gel electrophoresis (SCG) assay performed on peripheral lymphocytes. There was no increase in the three-month prevalence of abdominal symptoms when compared with other municipal workers. Specifically, there was no difference in prevalence of the common disorders dyspepsia and irritable bowel syndrome. Sewage workers reported adult bronchial asthma significantly more than the referents.