京都大学 / 新制・課程博士 / 博士(医学) / 甲第23750号 / 医博第4796号 / 新制||医||1055(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 村川 泰裕, 教授 斎藤 通紀, 教授 藤渕 航 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

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.

Unter geeigneten Wachstumsbedingungen weisen Algenkulturen oft eine größere Produktivität der Zellen auf, als sie bei höheren Pflanzen zu beobachten ist. Chlamydomonas reinhardtii-Zellen sind vergleichsweise klein. So beträgt das Zellvolumen während des vegetativen Zellzyklus etwa 50–3500 µm³. Im Vergleich zu höheren Pflanzen ist in einer Algensuspension die Konzentration der Biomasse allerdings gering. So enthält beispielsweise 1 ml einer üblichen Konzentration zwischen 10E6 und 10E7 Algenzellen. Quantifizierungen von Metaboliten oder Makromolekülen, die zur Modellierung von zellulären Prozessen genutzt werden, werden meist im Zellensemble vorgenommen. Tatsächlich unterliegt jedoch jede Algenzelle einer individuellen Entwicklung, die die Identifizierung charakteristischer allgemeingültiger Systemparameter erschwert. Ziel dieser Arbeit war es, biochemisch relevante Messgrößen in-vivo und in-vitro mit Hilfe optischer Verfahren zu identifizieren und zu quantifizieren. Im ersten Teil der Arbeit wurde ein Puls-Amplituden-Modulation(PAM)-Fluorimetriemessplatz zur Messung der durch äußere Einflüsse bedingten veränderlichen Chlorophyllfluoreszenz an einzelnen Zellen vorgestellt. Die Verwendung eines kommerziellen Mikroskops, die Implementierung empfindlicher Nachweiselektronik und einer geeignete Immobilisierungsmethode ermöglichten es, ein Signal-zu-Rauschverhältnis zu erreichen, mit dem Fluoreszenzsignale einzelner lebender Chlamydomonas-Zellen gemessen werden konnten. Insbesondere wurden das Zellvolumen und der als Maß für die Effizienz des Photosyntheseapparats bzw. die Zellfitness geltende Chlorophyllfluoreszenzparameter Fv/Fm ermittelt und ein hohes Maß an Heterogenität dieser zellulären Parameter in verschiedenen Entwicklungsstadien der synchronisierten Chlamydomonas-Zellen festgestellt. Im zweiten Teil der Arbeit wurden die bildgebende Laser-Scanning-Mikroskopie und anschließende Bilddatenanalyse zur quantitativen Erfassung der wachstumsabhängigen zellulären Parameter angewandt. Ein kommerzielles konfokales Mikroskop wurde um die Möglichkeit der nichtlinearen Mikroskopie erweitert. Diese hat den Vorteil einer lokalisierten Anregung, damit verbunden einer höheren Ortsauflösung und insgesamt geringeren Probenbelastung. Weiterhin besteht neben der Signalgewinnung durch Fluoreszenzanregung die Möglichkeit der Erzeugung der Zweiten Harmonischen (SHG) an biophotonischen Strukturen, wie der zellulären Stärke. Anhand der Verteilungsfunktionen war es möglich mit Hilfe von modelltheoretischen Ansätzen zelluläre Parameter zu ermitteln, die messtechnisch nicht unmittelbar zugänglich sind. Die morphologischen Informationen der Bilddaten ermöglichten die Bestimmung der Zellvolumina und die Volumina subzellularer Strukturen, wie Nuclei, extranucleäre DNA oder Stärkegranula. Weiterhin konnte die Anzahl subzellulärer Strukturen innerhalb einer Zelle bzw. eines Zellverbunds ermittelt werden. Die Analyse der in den Bilddaten enthaltenen Signalintensitäten war Grundlage einer relativen Konzentrationsbestimmung von zellulären Komponenten, wie DNA bzw. Stärke. Mit dem hier vorgestellten Verfahren der nichtlinearen Mikroskopie und nachfolgender Bilddatenanalyse konnte erstmalig die Verteilung des zellulären Stärkegehalts in einer Chlamydomonas-Population während des Wachstums bzw. nach induziertem Stärkeabbau verfolgt werden. Im weiteren Verlauf wurde diese Methode auch auf Gefrierschnitte höherer Pflanzen, wie Arabidopsis thaliana, angewendet. Im Ergebnis wurde gezeigt, dass viele zelluläre Parameter, wie das Volumen, der zelluläre DNA- und Stärkegehalt bzw. die Anzahl der Stärkegranula durch eine Lognormalverteilung, mit wachstumsabhängiger Parametrisierung, beschrieben werden. Zelluläre Parameter, wie Stoffkonzentration und zelluläres Volumen, zeigen keine signifikanten Korrelationen zueinander, woraus geschlussfolgert werden muss, dass es ein hohes Maß an Heterogenität der zellulären Parameter innerhalb der synchronisierten Chlamydomonas-Populationen gibt. Diese Aussage gilt sowohl für die als homogenste Form geltenden Synchronkulturen von Chlamydomonas reinhardtii als auch für die gemessenen zellulären Parameter im intakten Zellverbund höherer Pflanzen. Dieses Ergebnis ist insbesondere für modelltheoretische Betrachtungen von Relevanz, die sich auf empirische Daten bzw. zelluläre Parameter stützen welche im Zellensemble gemessen wurden und somit nicht notwendigerweise den zellulären Status einer einzelnen Zelle repräsentieren. / Under appropriate growth conditions cells of algae cultures often show a greater productivity than it is observed for cells in higher plants. The cells of Chlamydomonas reinhardtii are relatively small. The cell volume during the vegetative cell cycle ranges only between 50-3500 µm³. Compared to higher plants the concentration of biomass in an algal suspension is small. Thus, 1 ml of a suspension with a standard concentration contains between 10E6 and 10E7 algal cells. Quantification of metabolites or macromolecules, which are used for modeling of cellular processes, is usually carried out in the cell ensemble. However, every single algal cell undergoes an individual development, which makes the identification of characteristic universal system parameters far more complicated. The aim of this work was to identify and quantify relevant biochemical parameters, which were measured in vivo and in vitro using optical methods. In the first part, a Pulse Amplitude Modulation (PAM) measuring station was introduced to measure the variable chlorophyll fluorescence of individual cells. A commercial microscope was combined with sensitive detection electronics and the application of suitable immobilization methods. This allowed the achievement of a signal-to-noise ratio which made it possible to measure the fluorescence signals of individual living Chlamydomonas cells. In particular, cell volume and the chlorophyll fluorescence parameter Fv/Fm as a measure of the photosynthetic apparatus efficiency and cell fitness were determined. A high degree of cellular heterogeneity of these parameters in different development stages of synchronized Chlamydomonas cells was determined. In the second part, the imaging laser scanning microscopy and subsequent image analysis for quantitative detection of the growth-dependent cellular parameters were applied. A commercial confocal microscope was extended by the possibility of non-linear microscopy. Hereby, a more localized excitation of the samples was possible. Hence, a higher spatial resolution and lower overall sample stressing were achieved. Besides signal generation through fluorescence excitation, second harmonic generation (SHG) on biophotonic structures, such as cellular starch, was applied. Based on distribution functions cellular parameters were determined by using theoretical model approaches. This allowed the characterization of parameters that were not directly accessible by measurement. The morphological information of the image data enabled the determination of cell volume and volumes of sub-cellular structures such as nuclei, extra-nuclear DNA, and starch granules. Furthermore, the number of sub-cellular structures within a cell or a cell compound was determined. Analysis of signal intensities constituted the basis of relative quantification of cellular components such as DNA and starch. For the first time, the method of non-linear microscopy and subsequent image analysis enabled the characterization of the cellular starch distribution of a Chlamydomonas population during cell growth, and after induced starch degradation, respectively. Subsequently, this method was additionally applied to frozen sections of higher plants like Arabidopsis thaliana. As a result it was shown that many cellular parameters like volume, cellular DNA content, and number of starch granules are described by means of a log-normal distribution with growth-related parameterization. Cellular parameters, such as concentration and cellular volume, showed no significant correlations among each other. Therefore, it was concluded that there is a high degree of cellular parameter heterogeneity within synchronized Chlamydomonas populations. This applies not only to synchronized cultures of Chlamydomonas reinhardtii, which are currently considered as the most homogeneous form, but also to measured cellular parameters of intact cell assemblies in higher plants. The result is especially important for model-theoretic considerations, which are based on empirical data, and cellular parameters obtained from cell ensembles, respectively.

Since the emergence of biology as a quantitative science in the past century, a lot of biological discoveries have been driven by milestone technical advances such as X-ray crystallography, fluorescence microscopy and high-throughput sequencing. Fluorescence microscopy is widely used to explore the nanoscale cellular world because of its superb sensitivity and spatial resolution. However, many species (e.g. lipids, small proteins) are non-fluorescent and are difficult to label without disturbing their native functions. In the first part of the dissertation, we explore using three different contrast mechanisms for label-free imaging of these species – absorption and stimulated emission (Chapter 2), heat generation and diffusion (Chapter 3) and nonlinear scattering (Chapter 4). We demonstrate label-free imaging of blood vessels, cytochromes, drugs for photodynamic therapy, and muscle and brain tissues with three dimensional optical sectioning capability. With the rapid development of high throughput genotyping techniques, genome analysis is currently routinely done genome-wide with single nucleotide resolution. However, a large amount of starting materials are often required for whole genome analysis. The dynamic changes in DNA molecules generate intra-sample heterogeneity. Even with the same genome content, different cells often have very different transcriptome profiles in a functional organism. Such intra-sample heterogeneities in the genome and transcriptome are often masked by ensemble analysis. In this second part of the dissertation, we first introduce a whole genome amplification method with high coverage in sequencing single human cells (Chapter 6). We then use the technique to study meiotic recombinations in sperm cells from an individual (Chapter 7). We further develop a technique that enables digital counting of genome fragments and whole genome haplotyping in single cells (Chapter 8). And we introduce our ongoing efforts on single cell transcriptome analysis (Chapter 9). In the end, we introduce our initial effort in exploring the genome accessibility at the single cell level (Chapter 9). Through the development of techniques probing the single cell genome, transcriptome and possibly epigenome, we hope to provide a toolbox for studying biological processes with genome-wide and single cell resolution. / Chemistry and Chemical Biology

The goal of my research was to obtain a quantitative understanding of the mechanisms of DNA double-strand break (DSB) repair, and the activation of the tumor suppressor p53 in response to DSBs in human cells. In Chapter 2, we investigated how the kinetics of repair, and the balance between the alternate DSB repair pathways, nonhomologous end-joining (NHEJ) and homologous recombination (HR), change with cell cycle progression. We developed fluorescent reporters to quantify DSBs, HR and cell cycle phase in individual, living cells. We show that the rates of DSB repair depend on the cell cycle stage at the time of damage. We find that NHEJ is the dominant repair mechanism in G1 and in G2 cells even in the presence of a functional HR pathway. S and G2 cells use both NHEJ and HR, and higher use of HR strongly correlates with slower repair. Further, we demonstrate that the balance between NHEJ and HR changes gradually with cell cycle progression, with a maximal use of HR at the peak of active replication in mid-S. Our results establish that the presence of a sister chromatid does not affect the use of HR in human cells. Chapter 3 examines the sensitivity of the p53 pathway to DNA DSBs. We combined our fluorescent reporter for DSBs with a fluorescent reporter for p53, to quantify the level of damage and p53 activation in single cells. We find that the probability of inducing a p53 pulse increases linearly with the amount of damage. However, cancer cells do not have a distinct threshold of DSBs above which they uniformly induce p53 accumulation. We demonstrate that the decision to activate p53 is potentially controlled by cell-specific factors. Finally, we establish that the rates of DSB repair do not affect the decision to activate p53 or the dynamical properties of the p53 pulse. Collectively, this work emphasizes the importance of collecting quantitative dynamic information in single cells in order to gain a comprehensive understanding of how different DNA damage response pathways function in a coordinated manner to maintain genomic integrity.

<p>Control of E2F transcription factor activity, regulated by the action of the retinoblastoma tumor suppressor, is critical for determining cell cycle entry and cell proliferation. However, an understanding of the precise determinants of this control, including the role of other cell cycle regulatory activities, has not been clearly defined. </p><p>Recognizing that the contributions of individual regulatory components could be masked by heterogeneity in populations of cells, we made use of an integrated system to follow E2F transcriptional dynamics at the single cell level and in real time. We measured and characterized E2F temporal dynamics in the first cell cycle where cells enter the cell cycle after a period of quiescence. Quantitative analyses revealed that crossing a threshold of amplitude of E2F transcriptional activity serves as the critical determinant of cell-cycle commitment and division. </p><p>By using a developed ordinary differential equation model for Rb/E2F network, we performed simulations and predicted that Myc and cyclin D/E activities have distinct roles in modulating E2F transcriptional dynamics. Myc is critical in modulating the amplitude whereas cyclin D/E activities have little effect on the amplitude but do contribute to the modulation of duration of E2F transcriptional activation. These predictions were validated through the analysis of E2F dynamics in single cells under the conditions that cyclin D/E or Myc activities are perturbed by small molecule inhibitors or RNA interference. </p><p>In an ongoing study, we also measured E2F dynamics in cycling cells. We provide preliminary results showing robust oscillatory E2F expression at the single-cell level that aligns with the progression of continuous cell division. The temporal characteristics of the dynamics trajectories deserve further quantitative investigations.</p><p>Taken together, our results establish a strict relationship between E2F dynamics and cell fate decision at the single-cell level, providing a refined model for understanding the control logic of cell cycle entry.</p> / Dissertation

Stem and progenitor cell fate (self-renewal, proliferation, survival, differentiation) is tightly controlled by niche factors and the interplay of these factors is particularly important to comprehend for the development of stem cell therapies. During erythropoiesis, erythroid progenitors at the colony forming unit-erythroid (CFU-E) stage are responsive to both stem cell factor (SCF) and erythropoietin (EPO); however, the joint action of SCF and EPO in these cells and the underlying mechanisms remain to be defined. In this study, quantitative data on the activation of signaling pathways and gene expression profiles provided definitive evidence for two parallel but complementary mechanisms that resulted in enhanced generation of red blood cells from mouse bone marrow-derived CFU-E culture in the presence of SCF and EPO. First, SCF and EPO signaling intersected within the extracellular signal-regulated kinase (ERK) pathway and the sustained ERK activation was required for the maximal changes in the expression levels of genes that are involved in the proliferation and survival of CFU-Es. Second, the apparent competition between SCF and EPO in regulating c-Kit expression was found to have a dramatic impact on the terminal differentiation of CFU-Es. The latter mechanism was, for the first time, reported in a primary cell system. In addition, a fetal liver-derived conditioned medium further enhanced the survival and proliferation of bone marrow CFU-Es in the presence of SCF and EPO by not only increasing the ERK signaling duration but also, the amplitude. The agents present in the conditioned media possess significant clinical potential to stimulate erythropoiesis both in vivo and in vitro. In conclusion, our study has provided novel insights into the mechanisms by which combinations of niche factors control the fate of erythroid progenitors at a unique transitional stage and highlighted the important role of the ERK signaling dynamics in adult erythropoiesis.

Stem and progenitor cell fate (self-renewal, proliferation, survival, differentiation) is tightly controlled by niche factors and the interplay of these factors is particularly important to comprehend for the development of stem cell therapies. During erythropoiesis, erythroid progenitors at the colony forming unit-erythroid (CFU-E) stage are responsive to both stem cell factor (SCF) and erythropoietin (EPO); however, the joint action of SCF and EPO in these cells and the underlying mechanisms remain to be defined. In this study, quantitative data on the activation of signaling pathways and gene expression profiles provided definitive evidence for two parallel but complementary mechanisms that resulted in enhanced generation of red blood cells from mouse bone marrow-derived CFU-E culture in the presence of SCF and EPO. First, SCF and EPO signaling intersected within the extracellular signal-regulated kinase (ERK) pathway and the sustained ERK activation was required for the maximal changes in the expression levels of genes that are involved in the proliferation and survival of CFU-Es. Second, the apparent competition between SCF and EPO in regulating c-Kit expression was found to have a dramatic impact on the terminal differentiation of CFU-Es. The latter mechanism was, for the first time, reported in a primary cell system. In addition, a fetal liver-derived conditioned medium further enhanced the survival and proliferation of bone marrow CFU-Es in the presence of SCF and EPO by not only increasing the ERK signaling duration but also, the amplitude. The agents present in the conditioned media possess significant clinical potential to stimulate erythropoiesis both in vivo and in vitro. In conclusion, our study has provided novel insights into the mechanisms by which combinations of niche factors control the fate of erythroid progenitors at a unique transitional stage and highlighted the important role of the ERK signaling dynamics in adult erythropoiesis.

京都大学 / 0048 / 新制・課程博士 / 博士(農学) / 甲第19759号 / 農博第2155号 / 新制||農||1039(附属図書館) / 学位論文||H28||N4975(農学部図書室) / 32795 / 京都大学大学院農学研究科応用生命科学専攻 / (主査)教授 植田 充美, 教授 宮川 恒, 教授 栗原 達夫 / 学位規則第4条第1項該当 / Doctor of Agricultural Science / Kyoto University / DFAM

Technological advancement allowed for the advent of single-cell technologies capable of measuring a large number of cellular features simultaneously. These technologies have been subsequently used to shed light on the heterogeneity of cellular systems previously considered homogeneous, identifying the exclusive features of individual cells within cellular niches. Today, single-cell technologies represent an essential tool for studying the underlying immunological mechanisms correlating with disease. In this context, cytometry is one of the diverse high-throughput methods capable of examining more than 50 features per cell. However, utilising cytometry at its full potential requires the development of optimized assays. Additionally, the resulting high-dimensional data represent a challenge for existing computational techniques. This thesis attempts to address these challenges. The first part of the thesis is focused on developing a non-linear embedding algorithm for rapid analysis of cytometry datasets called EmbedSOM. The comparison of EmbedSOM with other state-of-the-art algorithms suggested the superiority of EmbedSOM with faster runtime. This is critical for the analysis of large datasets with millions of cells. Furthermore, EmbedSOM has additional functionality such as landmark guided...