京都大学 / 新制・課程博士 / 博士(医学) / 甲第23378号 / 医博第4747号 / 新制||医||1052(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 武藤 学, 教授 上杉 志成, 教授 篠原 隆司 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

This study aimed to investigate the pharmacology of selected pyrrolobenzodiazepine (PBD) compounds shown to have cytotoxic activity with predicted DNA sequence selectivity. Research focused upon the PBD dimer, SJG-136, selected for clinical trials, and the novel PBD monomer compounds D709119, MMY-SJG and SJG-303. SJG-136, a novel sequence-selective DNA minor groove cross-linking agent, was shown to have potent tumour cell type selective cytotoxicity in in vitro assays. Pharmacokinetic studies in mice via both the i.p. and i.v. route (dosed at the maximum tolerated dose (MTD)) showed that SJG-136 reaches concentrations in plasma well in excess of the in vitro IC50 values for 1 h exposure, and was detected in tumour and brain samples also above the in vitro IC50 values. Furthermore, SJG-136 showed linear pharmacokinetics over a 3-fold drug dose range. Metabolism studies showed SJG-136 is readily metabolised in vitro by hepatic microsomes, predominantly to a monodemethylated metabolite; this metabolite could be detected in vivo. Analytical method development work was also conducted for the imminent Phase I clinical trial of SJG-136 resulting in a sensitive and selective bio-analytical detection protocol. Comet analysis showed that SJG-136 dosed at the MTD and ⅓MTD causes significant interstrand DNA cross-linking in lymphocytes in vivo. In vitro studies demonstrated that SJG-136 localises within the cell nucleus, and acts to disrupt cell division via a G2/M block in the cell cycle at realistic concentrations and exposure times that are achievable in vivo. In vivo pharmacokinetic studies of D709119 showed the compound is easily detectable in mouse plasma following i.p. dosing at the MTD, but could not be detected in either tumour or brain samples. In vitro cytotoxicity studies revealed D709119 to have potent activity across a selection of tumour cell lines. SJG-136, D709119, MMY-SJG, SJG-303 and DC-81 demonstrated a non-enzyme-catalysed reactivity with the biologically relevant thiol, reduced glutathione (GSH). Studies demonstrated that reactivity of the PBD compounds toward GSH was dependent on GSH concentrations. At levels of GSH found in plasma, the PBD compounds showed considerably lower reactivity with GSH than at intracellular GSH levels. SJG-136 and D709119 also showed favourable pharmacokinetic profiles in mice, and warrant further study for anti-tumour activity in vivo and progression to use in patients.

Die Grundlage der Entwicklung multizellulärer Lebewesen bildet die Herausbildung stabiler Zelllinien aus einer einzelnen Zygote. Die Expression spezifischer Kombinationen von Transkriptionsfaktoren ist von zentraler Bedeutung für diesen Prozess. Des Weiteren sind epigenetische Veränderungen des Genoms von Bedeutung, über deren Verhältnis zu Änderungen der Zell-Identitäten weniger bekannt ist. In dieser Arbeit nutze ich Daten aus scATAC-seq und scRNA-seq (mit metabolischer Markierung; scSLAM-seq) um die regulierenden Elemente im Seeigel zu charakterisieren – vom 4-Zell-Stadium, über die Aktivierung des zygotischen Genoms, bis hin zu den Strukturen der frühen Pluteus-Larve. Die Schicksale der einzelnen Zellen des Seeigels sind gut erforscht und ab der vierten Zellteilung etabliert (auch wenn einzelne Veränderungen bis zum 128-Zell Stadium induziert werden können), wonach die Keimblätter fest verankert sind. Plastizität innerhalb der Keimblätter ist mindestens bis zum Ende der Gastrulation möglich. Mithilfe dieser Daten, sowie den bekannten Ergebnissen der Erforschung der Zellschicksale vergangener Jahrzehnte, ist eine Diversifizierung von Zelltypen ersichtlich, die beim 128-Zell-Stadium mit der großen Welle der zygotischen Genomaktivierung (ZGA), einer Veränderung des Chromatinzustandes und dem Verlust der Entwicklungsplastizität einhergeht. Ein kleiner Teil von Genen, im Allgemeinen zelltypspezifische Transkriptionsfaktoren, wird schon vor der großen Welle der ZGA exprimiert, während sich gut offene Chromatinstrukturen auf wenige, distinkte regulatorische Sequenzen beschränken. Von diesem Zeitpunkt an, wird die Genexpression zelltypspezifisch, auch wenn viele Chromatinelemente weiterhin zelltypübergreifend offen sind. Insgesamt sind die Chromatinelemente recht kompakt und Elemente innerhalb der Gene häufig. Danach porträtiere ich noch die regulatorischen Veränderungen die mit der neuralen Entwicklung, sowie der Diversität von skelettbildenden Zellen im Seeigel einhergehen. Zuletzt identifiziere ich ~ 100 Gene, die in die Kalzifizierung des Skelettes des Seeigels involviert sind. / The emergence of multiple, stable cell lineages from a single-cell zygote is the essence of multicellular development. Combinatorial transcription factor expression is central to this process, as well as epigenetic changes whose relationship to changes in cell-identity are far less well understood. In this thesis, I use data from scATAC-seq and scRNA-seq (with metabolic labeling; scSLAM-seq) to characterize the regulatory landscapes of sea urchin development spanning from the 4-cell embryo through maternal zygotic transition (MZT), gastrulation, and the early pluteus larvae with its ecologically relevant structures (~72h). The early fate-map in sea urchins is well understood, providing an ideal model for this analysis; the basic fate-map is established by the fourth cleavage (though inducible lineage changes are possible up to the 128-cell stage) after which germ-layer identity is locked, though there remains considerable plasticity within lineages at least through gastrulation. Using these data, along-side classic research into cell fate maps in the early embryo, I find that cell-type diversification and a loss of plasticity at 128-cell stage corresponds to a major wave of zygotic genome activation (ZGA) and a clear resolution of the chromatin landscape in the sea urchin. However, a subset of genes, often cell-type-specific transcription factors, shows evidence of pre-MZT zygotic expression with early chromatin accessibility limited to few sites with distinct regulatory sequences. From this time, gene expression profiles become highly cell-type-specific, though many regulatory elements remain ubiquitously accessible, suggesting differential transcription factor occupancy at broadly accessible sites. Overall, the regulatory landscape is fairly compact with accessible intragenic elements being frequent. Subsequently, I profile the regulatory changes underlying neurodevelopment and the diversity of skeletogenic cells in the sea urchin. Finally, I also identify ~ 100 genes that are associated with calcification of the sea urchin skeleton.

Stem cells differentiate through an organized hierarchy of intermediate cell types to terminally differentiated cell types. This process is largely guided by master transcriptional regulators, but it also depends on the expression of many other types of genes. The discrete cell types in the differentiation hierarchy are often identified based on the expression or non-expression of certain marker genes. Historically, these have often been various cell-surface proteins, which are fairly easy to assay biochemically but are not necessarily causative of the cell type, in the sense of being master transcriptional regulators. This raises important questions about how gene expression across the whole genome controls or reflects cell state, and in particular, differentiation hierarchies. Traditional approaches to understanding gene expression patterns across multiple conditions, such as principal components analysis or K-means clustering, can group cell types based on gene expression, but they do so without knowledge of the differentiation hierarchy. Hierarchical clustering and maximization of parsimony can organize the cell types into a tree, but in general this tree is different from the differentiation hierarchy. Using hematopoietic differentiation as an example, we demonstrate how many genes other than marker genes are able to discriminate between different branches of the differentiation tree by proposing two models for detecting genes that are up-regulated or down-regulated in distinct lineages. We then propose a novel approach to solving the following problem: Given the differentiation hierarchy and gene expression data at each node, construct a weighted Euclidean distance metric such that the minimum spanning tree with respect to that metric is precisely the given differentiation hierarchy. We provide a set of linear constraints that are provably sufficient for the desired construction and a linear programming framework to identify sparse sets of weights, effectively identifying genes that are most relevant for discriminating different parts of the tree. We apply our method to microarray gene expression data describing 38 cell types in the hematopoiesis hierarchy, constructing a sparse weighted Euclidean metric that uses just 175 genes. These 175 genes are different than the marker genes that were used to identify the 38 cell types, hence offering a novel alternative way of discriminating different branches of the tree. A DAVID functional annotation analysis shows that the 175 genes reflect major processes and pathways active in different parts of the tree. However, we find that there are many alternative sets of weights that satisfy the linear constraints. Thus, in the style of random-forest training, we also construct metrics based on random subsets of the genes and compare them to the metric of 175 genes. Our results show that the 175 genes frequently appear in the random metrics, implicating their significance from an empirical point of view as well. Finally, we show how our linear programming method is able to identify columns that were selected to build minimum spanning trees on the nodes of random variable-size matrices.