Biology subjects

Yoshikawa, K.

Publications and source records attributed to Yoshikawa, K..

11 recordsLinked to original sources

bioRxiv2026

Unifying Non-Equilibrium Information Thermodynamics and Genome Engine Dynamics: Maxwell's Demon Control of Cancer Cell Fates

Molecular biology has revealed immense spatiotemporal complexity in cancer regulatory networks. A fundamental physical question remains: Does a physical principle exist that governs how this complexity self-organizes into genome-wide fate commitment and determines whether and when that commitment becomes irreversible? We address this question through an integrative biophysical analysis of time-series transcriptomes from two cancer systems under four conditions: MCF-7 human breast cancer cells stimulated with heregulin (HRG) or epidermal growth factor (EGF), and HL-60 human leukemia cells stimulated with all-trans retinoic acid (atRA) or dimethyl sulfoxide (DMSO). Our analysis establishes self-organized criticality (SOC) control as a biophysical principle that unifies information thermodynamics with genome-engine dynamics in a single open, non-equilibrium physical system. This principle elucidates how information processing is converted into mechanical work during cancer-fate commitment. Under SOC control, the genome operates as an open, non-equilibrium engine that maintains a critical dynamic balance between homeostatic stability and fate-guiding critical transitions. The critical point (CP) gene ensemble drives this genome-wide control. Within the environment-coupled whole expression system, the CP performs two coupled roles converging in a Maxwells demon (MD) actuation cycle. This cycle is implemented through rewritable chromatin memory exhibiting bistable switching. Thermodynamically, the CP acts as an MD operator regulating entropy and information-work conversion through phase synchronization. Dynamically, it acts as an SOC controller synchronizing with the genome attractor, driving genome-wide reorganization, and generating the dominant mechanical work. This unified mechanism distinguishes the rapid HRG, delayed DMSO, and two-step atRA commitments from the non-committing EGF response. It satisfies three open-system thermodynamic criteria for an irreversible arrow of time and defines time-gated rules with predictive intervention windows for dynamic cancer-fate control.

genomics↗

bioRxiv2024

Genomic-Thermodynamic Phase Synchronization: Maxwell's Demon-Like Regulation of Cell Fate Transition

Dynamic criticality - the balance between order and chaos - is fundamental to genome regulation and cellular transitions. In this study, we investigate the distinct behaviors of gene expression dynamics in MCF-7 breast cancer cells under two stimuli: Heregulin (HRG), which promotes cell-fate transitions, and Epidermal Growth Factor (EGF), which binds to the same receptor but fails to induce cell-fate changes. We model the system as an open, non-equilibrium thermodynamic system and introduce a convergence-based framework for robust estimation of information-thermodynamic metrics. Our analysis reveals that the Shannon entropy of the critical point (CP) dynamically synchronizes with the entropy of the rest of the whole expression system (WES), reflecting coordinated transitions between ordered and disordered phases. This phase synchronization is driven by net mutual information scaling with CP entropy dynamics, demonstrating how the CP governs genome-wide coherence. Furthermore, higher-order mutual information emerges as a defining feature of the nonlinear gene expression network, capturing collective effects beyond simple pairwise interactions. By achieving thermodynamic phase synchronization, the CP orchestrates the entire expression system. Under HRG stimulation, the CP becomes active, functioning as a Maxwells demon with dynamic, rewritable chromatin memory to guide a critical transition in cell fate. In contrast, under EGF stimulation, the CP remains passive during non-critical expression dynamics. These findings establish a biophysical framework for cell-fate determination, paving the way for innovative approaches in cancer research and stem cell therapy.

genomics↗

bioRxiv2022

NFYA promotes the anti-tumor effects of gluconeogenesis in hepatocellular carcinoma through the regulation of PCK1 expression

Reprogramming of glucose metabolism occurs in many human tumor types, and one of these, gluconeogenesis, is known to exhibit anti-tumor effects in hepatocellular carcinoma (HCC). The transcription factor NFYA regulates gluconeogenesis in the normal liver tissue, but the function of the NFYA-gluconeogenesis axis in cancer and the functional differences of NFYA splicing variants in the regulation of gluconeogenesis is still unclear. Here, we demonstrate that NFYAv2, the short-form variant, upregulates the transcription of a gluconeogenic enzyme PCK1. We further reveal that its regulation induces high ROS levels and energy crisis in HCC and promotes cell death. These indicate that the NFYAv2-gluconeogenesis axis has enhanced anti-tumor effects in HCC, suggesting that the axis may be a potential therapeutic target for HCC. Furthermore, Nfyav1-deficient mice, spontaneously overexpressing Nfyav2, had no increasing gluconeogenesis in the liver. Taken together, our results reveal NFYAv2-gluconeogenesis axis has anti-tumor effects and the potential for NFYAv2 to be a safer therapeutic target for HCC.

cancer biology↗

bioRxiv2022

NFYA promotes the malignant behavior of triple-negative breast cancer through the regulation of lipid metabolism

Two splicing variants exist in NFYA, which exhibits high expression in many human tumor types, and their expression balance is known to correlate with prognosis in breast cancer, but functional differences are still unclear. Here, we demonstrate that NFYAv1, the long-form variant, upregulates the transcription of ACACA and FASN, essential lipogenic enzymes, to enhance the malignant behavior of triple-negative breast cancer (TNBC). Loss of the NFYAv1-lipogenesis axis strongly suppresses the malignant behavior in vitro and in vivo, indicating that the NFYAv1-lipogenesis axis is essential for TNBC malignant behavior and that the axis might be a potential therapeutic target for TNBC. Furthermore, mice deficient in lipogenic enzymes such as Acly, Acaca, and Fasn exhibit embryonic lethality, but our Nfyav1-deficient mice have no apparent developmental abnormalities. Taken together, our results elucidate NFYAv1-lipogenesis axis has significant tumor-promoting effects and the potential for NFYAv1 to be a safer therapeutic target for TNBC.

cancer biology↗

bioRxiv2021

A Unified Genomic Mechanism of Cell-Fate Change

The purpose of our studies is to elucidate the nature of massive control of whole genome expression with a particular emphasis on cell-fate change. Whole genome expression is coordinated by the emergence of a critical point (CP: a peculiar set of bi-phasic genes) through the genome-engine. In response to stimuli, the genome expression self-organizes three critical states, each exhibiting distinct collective behaviors with its center of mass acting as a local attractor, coexisting with whole genome attractor (GA). Genome-engine mechanism accounts for local attractors interaction in phase space. The CP acts as the organizing center of cell-fate change, and its activation makes local perturbation spread over the genome affecting GA. The activation of CP is in turn elicited by hot-spots, genes with elevated temporal variance, normally in charge to keep genome expression at pace with microenvironment fluctuations. When hot-spots oscillation exceeds a given threshold, the CP synchronizes with the GA driving genome expression state transition. The expression synchronization wave invading the entire genome depends on the power law fusion-bursting dynamics of silencing pericentromere-associated heterochromatin domains and the consequent folding-unfolding status of transcribing euchromatin domains. The proposed mechanism is a unified step toward a time-evolutional transition theory of biological regulation.

cell biology↗

bioRxiv2019

Monotonous behavior with 2-propanol converts into reentrant transition with 1-propanol: Higher-order structure of DNA

In the present study, we measured the changes in the higher-order structure of genomic DNA molecules in the presence of alcohols through single-DNA observation by use of fluorescence microscopy, with particular focus on the different effects of 1-propanol and 2-propanol. The results showed that, with an increasing concentration of 1-propanol, DNA exhibits reentrant conformational transitions from an elongated coil to a folded globule, and then to an unfolded state. On the other hand, with 2-propanol, DNA exhibits monotonous shrinkage into a compact state. Thus, DNA molecules are more effectively condensed/precipitated with 2-propanol than with 1-propanol. The propanol isomers also had different effects on the changes in the secondary structure of DNA, as revealed by circular dichroism (CD) measurements. With 1-propanol, DNA maintains a B-form secondary structure. An A-like conformation appears with the addition of 2-propanol.\n\nSTATEMENT OF SIGNIFICANCECurrently, 2-propanol has most often been used as the solvent to extract and purify genomic DNA molecules from living cells, according the protocols in molecular biology and biochemistry. Unfortunately, the reason why usage of 2-propanol is recommended instead of ethanol and 1-propanol has never been explained in a clear manner. We believe that the new insight based on chemical physics point of view would play an important role for the development of current chemical procedures/treatments adapted on an empirical basis.

biophysics↗

bioRxiv2019

Underlying Genomic Mechanism for Cell-Fate Change from Embryo to Cancer Development

The elucidation of the how and when of a cell-fate change asks for a physically reasonable mechanism allowing to achieve a coordinated switching of thousands of genes within a small and highly packed cell nucleus. We previously demonstrated that whole genome expression is dynamically self-organized through the emergence of a critical point. Furthermore, it has been confirmed that this happens at both the cell-population and single-cell level through the physical principle of self-organized criticality. In this paper, we further examine the genomic mechanism which determines cell-fate changes from embryo to cancer development. The state of the critical point, acting as the organizing center of cell-fate, determines whether the genome resides in a super- or sub-critical state. In the super-critical state, a specific stochastic perturbation can spread over the entire system through the genome engine - an autonomous critical-control genomic system, whereas in the sub-critical state, the perturbation remains at a local level. We provide a consistent framework to develop a biological regulation transition theory demonstrating the cell-fate change.

cell biology↗

bioRxiv2018

Self-Organized Critical Control of Genome Expression: Novel Scenario on Cell-Fate Decision

In our current studies on whole genome expression in several biological processes, we have demonstrated the actual existence of self-organized critical control (SOC) of gene expression at both population and single cell level. SOC allows for cell-fate change by critical transition encompassing the entire genome expression that, in turn, is partitioned into distinct response domains (critical states).\n\nIn this paper, we go more in depth into the elucidation of SOC control of genome expression focusing on the determination of critical point (CP) and associated distinct critical states in single-cell genome expression. This leads us to the proposal of a potential universal model with genome-engine mechanism for cell-fate change. Our findings suggest that the CP is fixed point in terms of temporal expression variance, where the CP (set of critical genes) becomes active (ON) for cell-fate change ( super-critical in genome-state) or else inactive (OFF) state ( sub-critical in genome-state); this may lead to a novel scenario of the cell-fate control through activating or inactivating CP.

genomics↗

bioRxiv2018

Cytokine profile in human olfactory cleft mucus and associated changes in olfactory function

Multiple factors, including physical changes of the nasal mucosa and epithelium and exposure to air-borne environmental agents, appear to contribute to age-related olfactory loss. However, the molecular aspects of aging-associated olfactory loss in humans are not well understood. Although inflammation can be a significant underlying cause for olfactory impairment, whether aging increases the levels of inflammatory cytokines in the human olfactory mucosa and whether any inflammatory markers are associated with age-related olfactory loss remain unclear. Using a noninvasive method for collecting human olfactory mucus, we characterized and compared inflammatory cytokines, chemokines, and some growth factors, in the mucus collected from the olfactory cleft or the anterior nasal cavity from 12 healthy, young (18-40 years old) and 12 elderly (60-85 years old) individuals. We also hoped to identify candidate molecular biomarkers associated with age-associated olfactory loss in humans. Olfactory thresholds were obtained for two odorants and individual mucus samples were analyzed using multiplex assays for the levels of 30 cytokines. Results indicated elevated levels of certain inflammatory cytokines (IL-12, MCP-1) in olfactory mucus of the elderly, and high levels of some inflammatory factors (MCP-1, IL-8, IL-13 and VEGF) were associated with reduced olfactory sensitivity, suggesting that inflammation may play a role in olfactory decline associated with aging.

neuroscience↗

bioRxiv2017

Single-Cell Reprogramming Of Mouse Embryo Development Through A Critical Transition State

Our work dealing with the temporal development of the genome-expression profile in single-cell mouse early embryo indicated that reprogramming occurs via a critical transition state, where the critical-regulation pattern of the zygote state disappears. In this report, we unveil the detailed mechanism of how the dynamic interaction of thermodynamic states (critical states) enables the genome system to pass through the critical transition state to achieve genome reprogramming.\n\nSelf-organized criticality (SOC) control of overall expression provides a snapshot of self-organization and explains the coexistence of critical states at a certain experimental time point. The time-development of self-organization is dynamically modulated by exchanges in expression flux between critical states through the cell nucleus milieu, where sequential global perturbations involving activation-inhibition of multiple critical states occur from the early state to the late 2-cell state. Two cyclic fluxes act as feedback flow and generate critical-state coherent oscillatory dynamics. Dynamic perturbation of these cyclic flows due to vivid activation of the ensemble of low-variance expression (sub-critical state) genes allows the genome system to overcome a transition state during reprogramming.\n\nOur findings imply that a universal mechanism of long-term global RNA oscillation underlies autonomous SOC control, and the critical gene ensemble at a critical point (CP) drives genome reprogramming. Unveiling the corresponding molecular players will be essential to understand single-cell reprogramming.

developmental biology↗

bioRxiv2017

Single-Cell Statistical Thermodynamics In Early Embryo Development

A statistical thermodynamics approach to the temporal development of biological regulation provides a phenomenological description of the dynamical behavior of genome expression in terms of autonomous self-organization with a critical transition (Self-Organized Criticality: SOC). In early mouse embryo development, the dynamical change in the self-organization of overall expression determines how and when reprogramming of the genome-expression state occurs. Reprogramming occurs via a transition state (climbing over an epigenetic landscape), where the critical-regulation pattern of the zygote state disappears. A critical transition is well captured in terms of the bimodality of expression ensembles, which reflects distinct thermodynamic states (critical states). These critical states exhibit a genome avalanche pattern: competition between order (scaling) and disorder (divergence) around a critical point. The genome avalanche in mouse embryo development, which is committed to erase a previous ordered state, reveals that the direction of early embryo single-cell development traverses the same steps as in differentiation, but in the opposite order of self-organization.

genomics↗