This Master’s Thesis project consists of the research, design, and fabrication of a system that could perform broadband impedance measurements (1kHz-20Mhz) of single cells using National Instruments Labview data acquisition and programming in coordination with a single cell capture device. Presented first is the background information on cells and their electrical properties, along with background in micro-total-analysis systems as well as impedance spectroscopy. Experimental Methods are then discussed for the electrode design, cellular modeling in COMSOL, fabrication methods, and Labview 8.0 Set-up and programming. Measurements were performed using the single-cell capture device on saline, yeast cells, and a polysterene bead. Analysis of the impedance data showed a clear visual and statistically significant difference between live yeast, the bead, and saline. A comparison of live yeast cells to nutrient-starved yeast cells was also performed and a distinct difference in spectra was observed.

With the rapid progress of next-generation sequencing (NGS) technologies, new tools and methods have emerged to investigate the transcriptomics of various organisms. RNA sequencing (RNA-seq) employs NGS to evaluate the presence and abundance of RNA transcripts in biological samples. This technique offers a comprehensive snapshot of the RNA dynamics within cells. With the ability to profile the entire transcriptome of organisms rapidly and accurately, RNA-seq has become the state-of-the-art method for transcriptome profiling, surpassing the traditional microarray approach. Single-cell RNA sequencing (scRNA-seq) was introduced in 2009 to profile the single-cell gene expression in highly heterogeneous samples such as brain tissue and tumors. The advancement of scRNA-seq technologies enables the in-depth transcriptomic study in each cell subtype. When selecting an scRNA-seq method, researchers must weigh the trade-off between profiling more single cells versus obtaining more comprehensive transcripts per cell, while considering the overall costs. The throughput of full-length scRNA-seq methods is usually lower, as each single cell needs to be processed separately to produce scRNA-seq libraries. However, full-length methods enable the researchers to investigate the splicing variants and allele-specific expression. Non-full-length methods only capture the 3' or 5' ends of transcripts, which limits their application in isoform detection, but as cells are pooled after barcoding for cDNA synthesis, the throughput is 2–3 orders of magnitude higher than full-length methods. We developed a droplet-based platform for full-length single-cell RNA-seq, which enabled the efficient recovery of full-length mRNA from individual cells in a high-throughput manner. The developed platform can process ~8,000 single cells within 2 days and detect ~20% more genes compared to Drop-seq. Besides scRNA-seq technology development, we also applied a low-input RNA-seq method to study the transcriptomics in different biological samples. When handling precious biological samples, a low-input method is necessary to profile the transcriptome of homogeneous cell populations. We first studied the epigenomic and transcriptomic regulations in colorectal cancer (CRC) using MOWChIP-seq, a low-input high-throughput method, in conjunction with our low-input RNA-seq approach. Fusobacterium nucleatum (Fnn) is closely related to the progression of cancers like CRC and pancreatic cancer. However, the molecular mechanisms of how Fnn adjusts the tumor microenvironment (TME) and leads to poor clinical outcomes are still unclear. In this in-vitro study, we characterized how hypoxia, an important TME ignored by previous research, facilitates Fnn infection of CRC and corresponding alterations of global epigenome and transcriptome. We infer that hypoxia has similar effects as Fnn infection alone on the CRC cells. The Fnn infection under hypoxia further boosts the proliferation and progression of CRC. We then applied our low-input RNA-seq method to study brain neuroscience and immunology. Psychedelics like DOI show promising clinical efficacy in patients with psychiatric conditions. Although psychedelics exhibit rapid antidepression action and long-lasting effectiveness compared to conventional treatment, their acute psychotic symptoms and potential for drug abuse discourage their application in clinical practice. In this case, it is important to comprehend the molecular mechanisms responsible for psychedelics' clinical efficacy. This understanding can pave the way for the development of improved treatments that do not rely on psychedelics. After profiling the transcriptome of mouse brain samples exposed to psychedelics with different post-exposure times, we concluded that the psychedelic-induced transcriptomic variations are more transient than epigenomic changes. In the second brain neuroscience project, we first applied 3-color FACS sorting to differentiate four neuron and non-neuron subtypes in human postmortem prefrontal cortex tissues. Then we profiled the gene expression of the four subtypes and validated the FACS sorting by examining the expression of marker genes. Differentially expressed genes between each subtype and the others were extracted and proceeded to gene ontology analysis. We identified unique altered biological pathways related to each subtype. The immunology research focuses on revealing the difference between low-grade inflammation and monocyte exhaustion, as well as the unique biological pathways they regulate. Therefore, we profiled the transcriptome of bone marrow-derived monocytes stimulated by PBS control, a low- or high-dose LPS. In addition to wild-type mice, we also included TRAM-deficient and IRAK-M-deficient mice. We concluded that low-dose LPS specifically regulates the TRAM-dependent pathway of TLR4 signaling, and high-dose LPS exclusively upregulates exhaustion markers by impacting metabolic and proliferative pathways. / Doctor of Philosophy / Transcriptomics is the comprehensive study of RNA transcripts derived from an organism's genome. RNA plays a vital role in maintaining the fundamental functions of cells and organisms. In eukaryotes, the genetic information stored in the DNA of cells is transferred to messenger RNA (mRNA) molecules through a process called transcription. These mRNA molecules serve as a bridge between DNA and proteins, as they carry the instructions encoded in genes to ribosomes for protein synthesis. Studying mRNA transcripts reveals various cellular mechanisms and their impact on overall organism function, gene regulation, and disease pathways. With the aid of next-generation sequencing, various RNA-seq approaches have been developed to study mRNA transcripts quantitatively in the past decades. To better understand the gene expression regulations in biological samples, we first applied bulk RNA-seq to profile the transcriptome of various samples under different conditions. Our in-house bulk RNA-seq protocol has been proven to be both high-performance and cost-effective compared to commercial kits. To better understand cellular diversity and uncover rare cell types in heterogeneous biological samples, we developed a droplet-based scRNA-seq platform that can recover full-length mRNA transcripts in a high throughput manner. It can profile the transcriptome of thousands of single cells within two days. It combines the advantages of the droplet-based scRNA-seq method (high throughput) and the well plate-based scRNA-seq method (full-length mRNA recovery).

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

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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.

Es wird ein "off-axis" Aufbau zur digitalholographischen Mikroskopie in Durchlicht- und Auflichtanordnung vorgestellt, der gleichzeitig hoch aufgelöste "full-field" Amplituden- und quantitative Phasenkontrastmikroskopie ermöglicht. Dabei werden verschiedene Algorithmen zur numerischen Rekonstruktion der komplexen Objektwelle bzgl. ihrer Eignung für die mikroskopische Anordnung miteinander verglichen. Durch Kombination eines beugungsfreien räumlichen Phasenschiebeverfahrens, das die Rekonstruktion ohne "Twin-Image" und nullte Beugungsordnung ermöglicht, und der Auswertung des Fresnel-Kirchhoff''schen Beugungsintegrals mit der Faltungsmethode werden die besten Ergebnisse erzielt. Die gleichzeitige Rekonstruktion der Amplitude und der Phase der Objektwelle aus einem einzigen Hologramm erfordert die mathematische Beschreibung der räumlichen Phasenverteilung in der Hologrammebene. Zur Bestimmung der Modellparameter wurde ein effizienter Algorithmus entwickelt und hinsichtlich seiner Genauigkeit getestet. Darüber hinaus wurde der Zusammenhang zwischen axialer Probenposition und dem Rekonstruktionsabstand, dessen Kenntnis zur quantitativen Auswertung und für eine rein numerische Fokussierung notwendig ist, hergeleitet. Anhand von Untersuchungen an technischen Objekten werden die laterale Auflösung und die Phasenauflösung des Systems quantifiziert und weitere experimentelle Parameter optimiert. Transparente biologische Proben, wie lebende Zellen, werden in Durchlichtanordnung analysiert. Dabei ist zur Bestimmung der Zelldicke die Kenntnis der Brechungsindizes von Zelle und Medium erforderlich. Hierfür wird ein experimentelles Verfahren vorgestellt, das die Abschätzung des integralen Brechungsindexes von Einzelzellen anhand ihrer rekonstruierten räumlichen Phasenverteilung ermöglicht. Exemplarisch wird Zelldifferenzierung aufgrund morphologischer Eigenschaften nachgewiesen und es werden Ergebnisse dynamischer Untersuchungen an lebenden Zellen gezeigt und diskutiert. / An off-axis setup for digital holographic microscopy in incident and transmission light arrangement for simultaneous high resolution full field amplitude and quantitative phase contrast microscopy is presented. Different kinds of algorithms for numerical reconstruction of the complex object wave are compared concerning their applicability to the microscopy arrangement. By combining a non-diffractive spatial phase shifting algorithm that performs reconstruction without the disturbing terms twin image and zero order with the numerical evaluation of the Fresnel-Kirchhoff diffraction integral by a convolution method we achieve best results. The simultaneous reconstruction of the object wave''s amplitude and phase from a single hologram requires a mathematical model of the spatial phase distribution within the hologram plane. An efficient numerical algorithm has been developed for determining the model''s parameters automatically and tested concerning its accuracy. Furthermore, the relation between the axial position of the object and the distance of reconstruction which is required for the quantitative evaluation of the reconstructed images and the application of a pure numerical focus is derived. Technical objects were used to quantify the lateral resolution and the phase resolution of the system and to optimize several parameters of the setup. Biological probes such as living cells are analyzed in transmission light arrangement. As a result the knowledge of the refractive index of the medium and the cell is required to derive the cell''s thickness from the reconstructed phase. Thus a special experimental method for the approximation of the integral refractive index of single cells from the reconstructed phase has been developed. Finally results of cell differentiation by morphological varieties as well as results of stimulated dynamic morphological changes are presented and discussed.

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