EPIC assembly | Transformative Research Areas(A)

About the Conference

ASSEMBLING DISCIPLINES

EPIC Assembly project (Emergence of Novel Functional Assembly by Evo-Physico Information Coupling) explores the mechanisms and principles by which advanced and complex biological functions have emerged and been refined in biological history. We specifically focus on the concept of "assemblies", systems composed of heterotypic interacting elements, as a unifying framework that spans molecular to multicellular levels. Assemblies can become combinatorially complex as the number and diversity of constituent elements increase, offering a structural basis for the evolutionary exploration of novel functions.

To tackle this challenging problem, it is essential to integrate insights and techniques from diverse domains, ranging from biology, physics, information science, and mathematics.

In this conference, we ASSEMBLE leading researchers engaged in this cross-disciplinary field to advance the frontiers of integrative science and to explore new avenues for understanding the emergence and evolution of biological functions.

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Day Event

Speakers

Participants

Related Co-hosted Events on March 17-19:
[March 17] JST CREST Symposium: Integrating Continuous and Discrete Data and Structures for Biological Applications >>> Link
[March 18-19] Life-Nonlife Transition / Universal Biology Institute 2026 Symposium : Boundaries Between Life and Nonlife >>> Link

Invited Speakers

Speakers from EPIC Members

Kyogo Kawaguchi

The University of Tokyo

Masahiro Takinoue

Institute of Science Tokyo

Kazuhiro AOKI

Kyoto University

Yasuka TODA

Institute of Science Tokyo

Daiki UMETSU

Osaka University

Satoshi SAWAI

University of Tokyo

Nen SAITO

Hiroshima University

Ryo HANAI

Institute of Science Tokyo

Kaoru SUGIMURA

University of Tokyo

Tetsuya J. KOBAYASHI

University of Tokyo

Takao K. SUZUKI

Juntendo University

Kazufumi HOSODA

CiNet, NICT

Poster Presentation Guidelines

Poster Session Times

- Mar 14, 16:45–18:30
- Mar 15, 16:45–18:30

Poster size

The poster must fit within 145.6 cm (height) × 103 cm (width); standard sizes such as A0 or B0 are acceptable.

Tentative Schedule

09:45-10:00: Opening remarks & EPIC assembly project - Tetsuya Kobayashi Biological systems exhibit diverse and highly specialized functions across molecular to multicellular scales. In the EPIC Assembly project, we investigate how such functions emerge and increase in complexity through evolution by focusing on “assemblies”—systems composed of heterotypic interacting elements. As the number and diversity of components grow, the space of possible assemblies expands combinatorially, raising the question of how functional configurations are selected and stabilized. We propose an idea that novel functions arise from the interplay between non-equilibrium dynamics and evolutionary processes. To test this idea, we integrate high-resolution imaging, phylogenetic reconstruction of ancestral assemblies, and their experimental reconstitution with mathematical models that describe both non-equilibrium and evolutionary dynamics. By combining experimental and theoretical approaches, we aim to identify general principles governing the emergence and evolution of functional assemblies. These insights may guide the design of synthetic biological systems and inform theoretical frameworks for complex adaptive systems.
10:00-10:35: Invited Talk: Decoding behavior with minimal and interpretable agent models - Antonio Celani Understanding how living organisms process sensory information and translate it into decisions is a fundamental problem across biological scales. We address this challenge by introducing a method to reconstruct general decision processes directly from behavioral observations alone. Our agent model is defined by a recurrent dynamics over a discrete set of internal states. We validate our method on synthetic agents and we infer agent models from experimental data of rats performing evidence accumulation and of mice making decisions under uncertainty and in changing environments. In both cases, very few internal states suffice to reproduce the observed behavior with high accuracy.
10:35-11:10: Invited Talk: Signal and Noise in Biodiversity Dynamics - Jeremy Beaulieu Across a variety of biological datasets, from genomes to conservation to the fossil record, evolutionary rates appear to increase toward the present or over short time scales. This has long been seen as an indication of processes operating differently at different time scales, even potentially as an indicator of a need for new theory connecting macroevolution and microevolution. Here I introduce a set of models that assess the relationship between rate and time and demonstrate that these patterns are statistical artifacts of time-independent errors present across ecological and evolutionary datasets, which produce hyperbolic patterns of rates through time. I will show that plotting a noisy numerator divided by time versus time leads to the observed hyperbolic pattern; in fact, randomizing the amount of change over time generates patterns functionally identical to observed patterns. Ignoring noise will not only obscure true patterns but create novel patterns that have long misled scientists. I will also briefly discuss the need for a broader term for noise (i.e., tip fog), and then present new methods for dealing with tip fog in a variety of phylogenetic comparative methods, even when the underlying variation is not actually measured.
11:10-11:20: Coffee Break
11:20-11:55: Invited Talk: Waddington Landscapes in the Age of Machine Learning - Paul François Waddington’s epigenetic landscape remains a powerful metaphor for developmental biology, capturing how cells follow robust, canalized trajectories toward distinct fates. Yet, despite the advent of high-resolution single-cell technologies, reconstructing such landscapes directly from data remains a major challenge. In this talk, I introduce a biologically motivated framework for constructing landscapes that capture key dynamical features of differentiation. By combining concepts from biophysics and machine learning, this approach yields intuitive, mechanistic representations of developmental trajectories. I will show how it can generate abstract models of vertebrate segmentation and reconstruct a landscape of neuromesodermal differentiation directly from single-cell transcriptomic data, revealing structures consistent with known developmental dynamics. Finally, I will discuss how machine learning systems themselves can exhibit Waddington-like behaviors, highlighting unexpected parallels between biological development and computational learning.
11:55-12:30: EPIC Member Talk: Macroevolutionary Pathways of Multi-Component Phenotypic Assembly in Bacteria - Takao Suzuki How do complex phenotypes assemble over macroevolutionary time? A key conceptual framework for addressing this question is the notion of multi-component systems, which describes biological entities as structured assemblies of interacting components. This framework characterizes structural properties of assembly, yet its macroevolutionary dynamics remain poorly understood. Here, we develop a novel method to reconstruct macroevolutionary pathways of multi-component phenotypic states across nearly 4,000 bacterial species. We found that trait combinations are hierarchically structured, with motility–sporulation states forming primary evolutionary modules within which morphology diversified. We then analyzed genome-wide gene content and uncovered distinct gene repertoires underlying these hierarchical adaptive strategies. Remarkably, regulatory genes, including anti-sigma factors, coevolve with each phenotypic state transition. Together, this approach opens the door to a quantitative theory of evolutionary assembly.
12:30-14:00: Lunch Break
14:00-14:35: EPIC Member Talk: A Mathematical Framework for Deformable Cells in Multicellular Dynamics - Nen Saito Cell deformability within dense tissues can play a crucial role in determining tissue-scale mechanical properties. Simulation-based theoretical studies are essential for characterizing such collective behaviors. However, large-scale simulations of deformable cells have typically been limited to simple convex polygonal shapes due to computational constraints. In this talk, I will present a simulation framework that enables efficient modeling of large populations of freely deformable cells [1], offering significantly improved computational performance over existing methods. Using this framework, we analyze various biological phenomena, including collective dynamics in densely packed cell populations and cell assembly processes guided by chemotactic cues. (1. Saito & Ishihara (2024). Sci. Adv. 10(19), eadi8433. )
14:35-15:10: Invited Talk: Mechanochemical Collective Cellular Intelligence in Spheroids - Jennifer Schwarz In biology, learning is typically associated with brains, yet many organisms without even neurons exhibit adaptive behavior. We propose that spheroids—assemblies of mechanically coupled cells—can exhibit learning. We hypothesize that cellular deformations generate long-range mechanical fields that couple cells into distributed networks, forming associations through mechanically mediated interactions, where sequences of deformations encode learned responses, analogous to sequences of neuronal firing. Using a 3D vertex-based computational model, we test this hypothesis by demonstrating that spheroids can be trained to acquire specific cell stress patterns via mechanochemical remodeling, effectively storing collective associations. These results suggest a physical mechanism for learning as an emergent property of interacting cells and highlight general principles of intelligence applicable to biological tissues and beyond.
15:10-15:20: Coffee Break
15:20-15:55: EPIC Member Talk: Cell size control emerges from the vein-dependent coordinated divisions of distinct cell groups in Drosophila wing - Kaoru Sugimura During morphogenesis, cell divisions are precisely regulated in space and time. The biological objectives achieved by such regulation are not fully understood, particularly in tissues whose overall size is kept constant. Here, by applying a newly developed lineage-reconstruction pipeline to the Drosophila pupal wing, we reveal that the wing is composed of distinct cell groups that differ in division number, timing, and spatial positioning relative to wing veins. We show that the frequencies of these lineages, together with their initial cell sizes and growth profiles, converge to achieve a highly conserved average cell size. Our data further suggest that distance from wing veins provides spatial information that biases where distinct lineages arise, and that genetic elimination of wing veins suppresses a specific lineage and disrupts cell-size control. Finally, our results point to a multiscale organization of division patterns, in which vein-associated spatial information is integrated with local neighbor effects in a manner that would mitigate mechanical instability within the tissue. Together, these findings delineate a cell-size control mechanism based on coordinated divisions of distinct cell groups, which supports robust morphogenesis and functional tissue design [1]. In the latter part of my talk, I will also present our simulation study on intercellular force networks in soft, active, and deformable cell populations [2]. (1. Sugimura, Takayanagi, Namba, Qu, Ishihara. bioRxiv 2025; 2. Yoshida, Saito, Ishihara, Sugimura. In preparation.)
15:55-16:30: Invited Talk: How do incorrect ligands help detect a correct ligand? - Hsuan-Yi Chen I will introduce a simple statistical physical model for a cluster of receptors that can have similar properties as T cell receptors. Our numerical simulations show that a cluster of receptors that bind reversibly to two types (correct/incorrect) of ligands in the environment with binding-state coupling between nearest neighboring receptors and a simple kinetic proofreading scheme for the activation/deactivation of receptors can have specific, speedy, and strong response even when there is only one correct ligand. This is achieved by the enhanced binding and lifetime of incorrect ligand-receptor complexes in the presence of a correct one.
16:30-16:45: Coffee Break
16:45-18:30: Poster Session

10:00-10:35: EPIC Member Talk: - Ryo Hanai
10:35-11:10: Invited Talk: Pattern formation in number conserving active systems - Suropriya Saha
11:10-11:20: Coffee Break
11:20-11:55: EPIC Member Talk: Eureka, Ecosystems, and Ultra-Efficient AI Hardware: Beyond Bio- or Brain-Inspired Alone - Kazufumi Hosoda Human Eureka enables us “to solve unexpected problems.” More fundamentally, a central requirement of living systems in evolution is adaptability: “to cope with unpredictable disturbances.” We propose that Eureka-like transitions, organism-level adaptability, and ecosystem-level robustness share common information-processing principles realized by far-from-equilibrium biological assemblies. Motivated by this hypothesis, we take three complementary routes. (i) Brain (highly organized assembly): we measure moments of insight (“Eureka!”) using fMRI and model the underlying dynamics with recurrent neural networks that leverage chaotic exploration to generate insight-like dynamics. (ii) Ecosystems (fully decentralized assemblies): we construct synthetic ecosystems enabling high-throughput tests of robustness and adaptation with no central control. (iii) Hardware: we discuss ultra-energy-efficient computing architectures that harness fluctuations as a substrate for these principles, bridging “bio-inspired” and “brain-inspired” intelligence.
11:55-12:30: Invited Talk: Artificial selection of microbial communities - Wenying Shou Microbial communities perform functions beyond the reach of individual species, ranging from waste digestion to pathogen blockage to cheese fermentation. Community functions are often difficult to engineer, since they arise from complex and mostly unknown interactions among species. One possible approach to improving community function is through artificial community selection. This involves repeatedly selecting and propagating the most desirable communities, akin to classic breeding of livestock and crops. Although community selection is mechanism-agnostic, comparing evolved communities to their ancestors will reveal the mechanisms of resilience. In this talk, I will discuss challenges of community selection, and how to overcome them.
12:30-14:00: Lunch Break
14:00-14:35: Invited Talk: Information flow in self-organized developmental systems - David Brueckner Embryonic development relies on the ability of multi-cellular systems to collectively coordinate the self-organization of precise spatial patterns of cell fates. An inevitable obstacle to such coordination is intrinsic noise at the single-cell level, which constrains the amount of information accessible to cells for fate decisions. While the relevant molecular processes are increasingly well understood, we lack principled frameworks to quantify and predict how cells obtain sufficient information to reliably differentiate into the right fate at the right time and place. I will discuss how combining dynamical systems and information theory provides a mathematical language to analyze biological self-organization across diverse systems. Our approach can be used to define and measure the information content of observed patterns, to functionally assess the importance of various patterning mechanisms, and to predict optimal operating regimes of self-organizing systems. I will demonstrate how our framework reveals mechanisms of self-organization of in vitro stem cell systems in direct connection to experimental data, including intestinal organoids and gastruloids. This framework provides an avenue towards unifying the zoo of chemical and mechanical signaling processes that orchestrate embryonic development.
14:35-15:10: EPIC Member Talk: Cell assembly dynamics at boundaries in epithelial tissues - Daiki Umetsu Tissues are often subdivided into territories of unmixing cells during animal development. However, boundaries are challenged by continuous cell divisions and rearrangements. By combining live imaging and genetic or physical perturbations, we revealed both local increase in mechanical tension at boundaries and differential cell-cell adhesion maintain straight boundaries in a Drosophila epithelium. Our data also show that a gene encoding a Drosophila Toll-like receptor acts as an adhesion molecule to support the differential adhesion between neighbor cells. We will discuss how these mechanisms can be extrapolated to mechanisms by which cells with ectopic positional information are eliminated by surrounding cells.
15:10-15:20: Coffee Break
15:20-15:55: EPIC Member Talk: 3D Cell assemblies of motile cells in a non-metazoan system - Satoshi Sawai The cellular slime mold Dictyostelium discoideum is a member of the supergroup Amoebozoa – a large sister clade of fungi and animals. In this system, close to 100,000 cells migrate under starvation to form a fruiting body where cells undergo coordinated cellular movement and rearrangement. Our recent data obtained by light-sheet and confocal microscopy revealed how cell alignment reconfigures from the antero-posterior ordering to more convoluted three-dimensional layout with a diploblastic-like radial symmetry. The accompanying tissue elongation involves cell intercalation and amoeboid-to-epithelial like transitions. I will touch upon the essential cell-cell adhesion protein that we’ve identified as well as involvement of ancestral adhesion complex in this process. Our results hint at the toolbox necessary to facilitate evolution of morphogenetic motifs and the underlying cell behaviors.
15:55-16:30: Invited Talk: Computer simulations of the morphodynamics of dynamic cell assemblies - Tetsuya Hiraiwa Growing cell assemblies cultured in vitro, like organoids and epithelial cysts, provide powerful systems for studying the mechanisms determining the morphology of complex cellular structures, like organs. However, general mechanisms linking cellular behaviors to the emergent morphology of growing cell assemblies remain elusive. In the main part, we introduce our computational studies based on a multicellular phase-field model to investigate the morphodynamics of cell assemblies containing a fluid-filled cavity (lumen), grown from only a few cells, with a particular focus on lumen dynamics [Tanida 2026]. We also compare the results with experimental observations [Lu 2025; Lee 2026].
16:30-16:45: Coffee Break
16:45-18:30: Poster Session

10:00-10:35: EPIC Member Talk: - Kyogo Kawaguchi
10:35-11:10: Invited Talk: Synthetic RNA condensates and organelles - Lorenzo Di Michele Condensation of RNA and proteins forms functional membrane-less organelles that are central to cellular processes. Programming such condensation could enable metabolic engineering and the construction of synthetic cells. I will present a modular platform for engineering de novo RNA condensates from designed, branched RNA nanostructures that fold and assemble during transcription. Up to three orthogonal condensates can form simultaneously and selectively accumulate fluorophores via embedded fluorescent light-up aptamers. The condensates can be genetically encoded and expressed in synthetic cells, allowing control over number and size and enabling protein capture. Interactions can be tuned using linker RNAs to create biphasic condensates with controlled mixing. Finally, I will demonstrate deployment of the platform to engineering non-natural organelles in living E. coli.
11:10-11:20: Coffee Break
11:20-11:55: EPIC Member Talk: Nucleic-acid-based Smart Condensates for Molecular Computation - Masahiro Takinoue Synthetic liquid-like condensates formed via liquid-liquid phase separation (LLPS) are a key technology for developing synthetic cells and organelles. Although their thermodynamic stability has been well studied, controlling their dynamic properties remains challenging. This talk presents the dynamic control of programmable nucleic-acid-based condensates, where the sequences determine the stability and viscoelasticity. By coupling these condensates with enzymatic and strand displacement reactions, we achieved spatiotemporal control of LLPS condensates under nonequilibrium conditions. We demonstrate that these smart condensates can perform molecular computations, such as microRNA sensing, and exhibit complex mechanical behaviors. Synthetic LLPS condensate technologies will promote the development of functional synthetic cells and molecular robots.
11:55-12:30: Invited Talk: Physical organization of biomolecular condensates - Yongdae Shin Biomolecular condensates function in crowded cellular environments, yet how crowding shapes their composition remains unclear. In this talk, I will present an integrated approach using livecell reconstitution, biophysical perturbations, and computational modeling to examine how condensate density influences component behavior. Key concepts that will be discussed include the roles of sizebased exclusion, molecular interactions, and adaptive changes in condensate properties. These ideas offer broader insights into molecular flux and spatial organization in cells and provide a conceptual framework for how condensate density can govern molecular sorting.
12:30-14:00: Lunch Break
14:00-14:35: EPIC Member Talk: Evolutionary History of T1R Taste Receptors - Yasuka Toda In vertebrates, sweet and umami tastes are mediated by G protein–coupled receptors known as T1Rs. Humans possess only three T1R genes—T1R1, T1R2, and T1R3—which form heterodimeric receptors responsible for detecting umami and sweet stimuli. In our recent study, we expanded this view by identifying additional T1R members through comprehensive analyses of genome and transcriptome datasets from a wide range of jawed vertebrates. Our findings reveal that jawed vertebrates collectively harbor eleven distinct T1R genes. The long-term retention and diversification of these receptors appear to have been shaped by species-specific feeding ecologies. This work deepens our understanding of the evolutionary trajectories of T1R receptors and provides new insights into the origins of palatable taste modalities, namely umami and sweetness.
14:35-15:10: Invited Talk: Deciphering Olfaction with Structure, Evolutionary Genomics, and AI - Hiroaki Matsunami Our laboratory investigates the molecular mechanisms of olfaction through functional characterization of odorant receptors (ORs). ORs are remarkable for their large family size and rapid evolutionary diversification. We propose that this diversity is supported by the unique ability of olfactory sensory neurons to fold functional ORs despite cryptic mutations. To test this idea, we developed a consensus OR approach that corrects such mutations and overcomes a major expression barrier, enabling high-level heterologous expression. This strategy has facilitated atomic-level OR structure determination, providing new insights into odor binding and receptor activation.
15:10-15:20: Coffee Break
15:20-15:55: Invited Talk: From Signaling Complexity to Functional Principles in GPCR Biology - Ikuo Masuho GPCRs are central mediators of intercellular communication, detecting hormones and neurotransmitters and translating these cues into distinct cellular responses—such as gene expression, secretion, migration, or excitability—by engaging different G proteins. Using a universal live-cell platform, we quantified in real time the strength and speed of GPCR-driven G protein activation and defined receptor-specific signaling fingerprints. Applying this kinetic framework to more than 100 GPCRs uncovered general rules of coupling selectivity and offers a principled view of how GPCR signaling enables broad physiological control.
15:55-16:30: EPIC Member Talk: Dynamic Encoding of GPCR Signaling Revealed by Systematic Single-Cell Imaging - Kazuhiro Aoki G-protein-coupled receptors (GPCRs) translate diverse extracellular stimuli into intracellular responses through a limited set of conserved signaling proteins. How hundreds of receptors achieve signaling specificity remains unclear. Here, we systematically quantified the temporal dynamics of cAMP, Ca²⁺, RhoA, and ERK in response to activation of ~70 GPCRs at the single-cell level using live-cell imaging. Our dataset reveals striking diversity in signaling dynamics, including sustained, pulsatile, and transient patterns across receptors and pathways. Notably, the closely related noradrenergic receptors ADRA1A and ADRA1B generate sustained and oscillatory Ca²⁺ responses, respectively. Chimera analysis demonstrates that this difference is determined by the sixth and seventh transmembrane domains. These findings provide a systematic framework supporting dynamic encoding as a general principle of GPCR-mediated information processing and identify structural determinants that shape temporal signaling outputs.
16:30-16:35: Closing Remarks - Hiroyasu Watanabe Toyota Konpon Research Institute
16:35-17:00: Open Discussion

P01: Analysis of cell sorting dynamics of Dictyostelium discoideum in 2D confinement Hidenori Hashimura (1), Tomoko Adachi (1), Shoko Fujishiro (1), Taihei Fujimori (1, 2), Toyoko Sugita (1), Sumie Eto (1), Satoshi Kuwana (1), Satoshi Sawai (1, 3) (1)Graduate School of Arts and Sciences, The University of Tokyo (2) Chan Zuckerberg Biohub Network (3) Research Center for Complex Systems Biology, Universal Biology Institute, The University of Tokyo
P02: Fourier contour cell model for Representing collective migration of Dictyostelium Discoideum Ryusei Kubota(1), Hidenori. Hashimura(2), Taihei Fujimori(3), Satoshi Sawai(2), Nen Saito(4) (1)Hiroshima University, (2)The University of Tokyo, (3)Chan Zuckerberg Biohub San Francisco, (4)Tsukuba University
P03: Cell-Cell adhesion drives reentrant tissue fluidity transition Sangwon Lee(1), Nen Saito(2), Kyogo Kawaguchi(1,3) (1) The University of Tokyo (2) University of Tsukuba (3) RIKEN Pioneering Research Institute
P04: Quantitative imaging of GPCRs downstream signalings Reiko Inouye(1, 2), Koichi Inoue(3), Ryosuke Tanii(4), Yuhei Goto(1, 2), Kazuhiro Aoki(1, 2, 3) (1)Laboratory of Cell Cycle Regulation, Graduate School of Biostudies, Kyoto University; (2)Faculty of Science, Kyoto University; (3)Exploratory Research Center on Life and Living Systems; (4)Sanford Research
P05: How Do Shepherd Dogs Herd Sheep? - A Model of Swarm Control Based on Visual Perception Kosuke Miyoshi(1, 2), Nen Saito(2) (1) Hiroshima University, (2) University of Tsukuba
P06: Exact analysis of dense catalytic reaction networks with arbitrary degree distribution Kota Mitsumoto, Shuji Ishihara The University of Tokyo
P07: Dynamical model and geometric insights in the discontinuity theory of immunity Christian Mauffette Denis(1), Victoria Mochulska(2), Maya Dagher(2), Vincent Verbavatz(2), Fran?ois X.P. Bourassa(2, 3), Gr?goire Altan-Bonnet(4), Paul Fran?ois(1, 5) (1)Universit? de Montr?al, Canada; (2)McGill University, Canada; (3)Princeton University, USA; (4)National Cancer Institute, USA; (5)MILA, Canada
P08: Cation accumulation drives the preferential partitioning of DNA in LLPS condensates Hiroki Sakuta(1), Yuki Akamine(1), Akari Kamo(1), Hao Gong(1), Norikazu Ichihashi(1), Arash Nikoubashman(2), Miho Yanagisawa(1) (1) The University of Tokyo; (2) IPF Dresden
P09: Optimal Estimation Theory under Resource Limitations and Its Application to Biological Information Processing Takehiro Tottori(1,2), Tetsuya J. Kobayashi(2) (1)RIKEN, Japan; (2)The University of Tokyo, Japan
P10: Trait-informed self-attention predicts microbial community composition. Masaki Fujiyoshi(1), Chikara Furusawa(1,2) (1)The University of Tokyo; (2)RIKEN
P11: Epidemics with Altruism Simon K. Schnyder Institute of Industrial Science, The University of Tokyo
P12: Thermodynamic ranking of pathways in reaction networks Praful Gagrani(1), Nino Lauber(2), Eric Smith (3,4), Christoph Flamm (2) (1) The University of Tokyo; (2) University of Vienna; (3) Georgia Institute of Technology; (4) Tokyo Institute of Technology
P13: Design Principle of Temporal Encoding in Signaling Systems Thoma Itoh(1), Yohei Kondo(2), Kazuhiro Aoki(3), Nen Saito(4) (1)SOKENDAI, NIBB (2)Nagoya University (3)Kyoto University (4)Tsukuba University
P14: Using DNA condensates to modulate RNA transcription reactions Nathan N. Evangelista(1), Masahiro Takinoue(1, 2, 3, 4, 5) (1)Department of Life Science and Technology, Institute of Science Tokyo (2)Laboratory for Chemistry and Life Science, Institute of Science Tokyo, (3)Research Center for Autonomous Systems Materialogy (ASMat), Institute of Integrated Research (IIR), Institute of Science Tokyo, (4)Department of Computer Science, Institute of Science Tokyo, (5)Department of System Control Engineering, Institute of Science Tokyo
P15: Processing information from partially observed signals in biological systems with energetic constraints Giorgio Nicoletti(1), Ivan Di Terlizzi(2,3), Daniel Maria Busiello(2,4) (1)The Abdus Salam International Center for Theoretical Physics (ICTP), Trieste, Italy; (2)Max Planck Institute for the Physics of Complex Systems, Dresden, Germany; (3)Arnold-Sommerfeld-Center for Theoretical Physics, Munich, Germany; (4)Department of Physics and Astronomy, University of Padova, Padova, Italy
P16: Emergence of linearly-arranged cell-sized droplets entrapping DNA and living cells through phase-separation Mayu Shono(1), Miho Yanagisawa(1), Kenichi Yoshikawa(2), Akihisa Shioi(2) (1)The University of Tokyo; (2)Doshisha University
P17: Sequence rules for condensation and micellization of disordered proteins Kyosuke Adachi (1,2), Kyogo Kawaguchi (2,3) (1) RIKEN iTHEMS, Japan; (2) RIKEN PRI, Japan; (3) The University of Tokyo, Japan
P18: Interfacial Assembly of DNA Nanostructures in Cell-Sized Droplets Kazutoshi Masuda(1), Miho Yanagisawa(1) (1) The University of Tokyo, Japan
P19: Tissue growth mechanics reveal evolutionary divergence of inner ear morphogenesis across vertebrates Shuhei A. Horiguchi(1), Shunya Kuroda(1), Satoru Okuda(1) (1)Kanazawa University, Japan
P20: spatially structured flocking in a proliferating population of self-propelled organisms Seiya Takamura(1), Nen Saito(2) (1)Hiroshima University, Japan; (2)Life Science Center for Survival Dynamics, Tsukuba Advanced Research Alliance
P21: Driving population dynamics across steady growing states: insights from NESS thermodynamics Keisuke Sugie (1,2), Dimitri Loutchko (2), Tetsuya J. Kobayashi (1,2) (1) Graduate School of Information Science and Technology, the University of Tokyo,(2) Institute of Industrial Science, the University of Tokyo
P22: Physical properties of reconstituted gene-scale chromatin with defined modification patterns Yohsuke T. Fukai (1,2), Tomoya Kujirai (3,4), Masatoshi Wakamori (1), ?Setsuko Kanamura (1,2), Lisa Yamauchi (1,2), ?Somayeh Zeraati (1,2), Satoshi Morita (4), Chiharu Tanegashima (1), Mitsutaka Kadota (1), Mikako Shirouzu (4), Hitoshi Kurumizaka (3,4,5), Takashi Umehara (1,4,6), Kyogo Kawaguchi (1,2,7) (1) RIKEN Center for Biosystems Dynamics Research, (2) RIKEN Pioneering Research Institute, (3) Institute for Quantitative Biosciences, The University of Tokyo, (4) RIKEN Center for Integrative Medical Sciences, (5) Department of Biological Sciences, The University of Tokyo, (6) College of Pharmaceutical Sciences, Ritsumeikan University, (7) Institute for Physics of Intelligence, The University of Tokyo
P23: Emergent weak contacts in dense assembly of deformable active cells Koshi Yoshida(1), Nen Saito(2), Shuji Ishihara(1), Kaoru Sugimura(1) (1)The University of Tokyo; (2)University of Tsukuba
P24: Development of a computational method for identifying rare antigen-specific T cell clones Kyohei Kinoshita(1), Tetsuya J. Kobayashi(1) (1)The University of Tokyo
P25: Simulating Time Until Eureka Moment Using A Chaotic Exploration Module Misako Kimura(1, 2), Yuuki Matsushita(3), Masayo Inoue(4), Shigeto Seno(5), Osamu Murata(1), Izumi Ohzawa(1), Toshio Yanagida(1), Kunihiko Kaneko(1, 6), Kazufumi Hosoda (1, 5, 7) (1) National Institute of Information and Communications Technology, Japan; (2) University of Hyogo, Japan; (3) National Centre for Biological Sciences, India; (4) Kyushu Institute of Technology, Japan; (5) Osaka University, Japan; (6) University of Copenhagen, Denmark; (7) Kobe University, Japan.
P26: Cell Elimination Driven by Differential Expression of a Cell Surface Molecule Shunsuke Sakazume(1), Kenji Matsuno(1), Daiki Umetsu(1) (1)The university of Osaka graduate school of science
P27: Mechanism of Immiscibility in Nucleoli and Nuclear Speckles Shoma Inoue(1), Kyogo Kawaguchi(1, 2) (1)The University of Tokyo, Japan; (2)RIKEN Cluster for Pioneering Research, Japan
P28: Modeling Motivational Internalization as Attractor Dynamics in Recurrent Neural Networks: Toward Understanding Intrinsic Motivation Wataru Miyamori(1, 2), Masayo Inoue(3), Kazufumi Hosoda(1) (1)National Institute of Information and Communications Technology; (2)The University of Osaka; (3)Kyushu Institute of Technology
P29: Mutual Information Maximization Structure in Evolution Masamitsu Yasutake(1), Tetsuya J. Kobayashi (1) The University of Tokyo
P30: Structured Equilibria in Recombination: A Game-Theoretic Perspective Masaki Kato The University of Tokyo
P31: From Genotype to Dynamic Polarity Phenotypes: Designing Tests of Cdc42 Circuit Evolution in S. pombe with Deep Segmentation and EM Inference Ian Shenyen Hsu(1), Wen-Han Wang(1), Kuan-Yu Lin (1), Yu Hsien Chang (1), Jian-geng Chiou (1) (1) Institute of Plant and Microbiology (IPMB), Academia Sinica, Taiwan
P32: Development of DNA droplets computer recognizing concentration of nucleic acid aimed for implementation of perceptron Chisa Kato(1), Yuko Yoshida(1), Yusei Kudo(1), Masahiro Takinoue(1) (1)Institute of Science Tokyo, Japan
P33: Interactions Between Saccades and Whole-Brain Dynamics in Sudden Unconscious ?Visual Insight Ayako Kawasaki(1, 2), Tsutomu Murata(1), Komaki Kunishige(1), Shigeto Seno(3), Izumi Ohzawa(1, 2), Kunihiko Kaneko(1, 5), Toshio Yanagida(1), Kazufumi Hosoda(1, 2, 3) (1)Center for Information and Neural Networks, Advanced ICT Research Institute, NICT, (2)Department of Rehabilitation Science, Graduate School of Health Science, Kobe University, (3)Department of Frontier Biosciences, Graduate School of Frontier Biosciences, The University of Osaka, (4)Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, The University of Osaka, (5)Niels Bohr Institute, University of Copenhagen, Denmark
P34: An Isothermal Amplification Method for DNA Nanostructures Towards Autonomous DNA Droplet Growth Yusei Kudo(1), Tomoya Maruyama(2), Masahiro Takinoue(1,2,3,4) (1)Dept. of Computer Science, Institute of Science Tokyo, Japan; (2)Research Center for Autonomous Systems Materialogy (ASMat), Institute of Innovative Research (IIR), Institute of Science Tokyo, Japan; (3)Laboratory for Chemistry and Life Science, IIR, Institute of Science Tokyo, Japan; (4)Dept. of Life Science and Technology, Institute of Science Tokyo, Japan
P35: Genetic perturbation effects propagate within cells through genome-wide stoichiometry conservation architecture Genta Chiba (1), Ken-ichiro Kamei F(1), Arisa Oda H(1), Kunihiro Ohta (1), Yuichi Wakamoto(1) (1)The University of Tokyo, Japan
P36: Structure-based characterization of D. discoideum Tgr and Tgr-related proteins using Alphafold structures Yue Tong (1), Takao K. Suzuki (2), Satoshi Sawai (1) (1) The University of Tokyo; (2) Juntendo University
P37: Evaluation of Parameter Determination Methods in DNA Droplet Simulation Models Ryosuke Kawatsu(1), Masahiro Takinoue(1) (1)Institute of Science Tokyo, Japan
P38: From Planetary Disequilibrium towards Evolvable Systems Natsumi Noda (1), Tatsuya Shinoda (1), Naohiro Terasaka (1), Tomoaki Matsuura (1) (1) Earth-Life Science Institute (ELSI), Institute of Science Tokyo, Japan
P39: Synthetic intercellular signaling system for robust maintenance and differentiation of stem-state cells with periodic regulation of cell number Takashi Hata(1), Masaki Takeda(2), Akifumi Nishida(2,3), Shotaro Ayukawa(2), Zicong Zhang(1), Yochiku Shi(1), Ryoji Sekine(1), Masayuki Yamamura(1,4), Daisuke Kiga(1,2) (1)Tokyo Tech, Japan; (2)Waseda University,Japan; (3)Tokyo University of Agriculture, Japan; (4)Institute of Science Tokyo, Japan
P40: Cluster structure, Hamiltonian formulation, chiral phase of the Vicsek model Hideyuki Miyahara Hokkaido University
P41: Engineering Molecular Structural Ordering of Self-Assembled Peptides on Two-Dimensional Layered Nanomaterials Jinhua Hu (1), Linhao Sun (2), Ayhan Yurtsever (2), Takeshi Fukuma (2), Mehmet Sarikaya (3) (1)Jiangxi Institute of Fashion Technology, China; (2) WPI Nano Life Science Institute, Kanazawa University, (3) University of Washington, USA
P42: Exploring the multicellular evolvability of a unicellular relative of animals through experimental evolution Koryu Kin(1,2), Gonzalo Bercedo Saborid(2), Eva Marcovi?(3), I?aki Ruiz-Trillo(2) (1)Juntendo University, Japan; (2) Institut de Biologia Evolutiva, Spain; (3)University of Zagreb, Croatia
P43: Long-time behaviour of a branching process with reinforcement Ignacio Madrid (1), Tetsuya Kobayashi (1) (1) IIS, The University of Tokyo
P44: Effects of parasites on information accumulation in an experimental model of RNA worldmation accumulation in an experimental model of RNA world Yuki Kanai(1, 2), Norikazu Ichihashi (1) (1)The University of Tokyo, Japan; (2)JST, Japan
P45: Bottom-up reconstitution of evolutionarily conserved actin assembly Yosuke Senju Okayama University, Japan
P46: Spatial patterning driven by dynamic cell-ECM remodeling in a haptotaxis model Masahito Mori(1), Shogo Nakayama(2), Kyosuke Adachi(3, 4), Mitsuru Morimoto(2), Kyogo Kawaguchi(1, 5) (1)The University of Tokyo, Japan, (2)Laboratory for Lung Development and Regeneration, Riken Center for Biosystems Dynamics Research (BDR), Kobe 650-0047, Japan, (3)RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program, Japan,(4)Nonequilibrium Physics of Living Matter RIKEN Hakubi Research Team, RIKEN Center for Biosystems Dynamics Research, Japan, (5)RIKEN Cluster for Pioneering Research, Japan
P47: Quantifying Evolvability Landscapes and the Growth?Death Trade-off in Microbial Experimental Evolution Atsushi Shibai(1), Riku Kamiura(1), Sumpei Sato(1), Shigeyuki Kakizawa(2), Chikara Furusawa(1,3) (1)RIKEN, Japan; (2) AIST, Japan; (3) The University of Tokyo, Japan
P48: A dynamical systems model of developmental and regenerative processes in multicellular organisms Kansuke Sasamori(1), Yusuke Himeoka(1), Chikara Furusawa(1,2) (1)The University of Tokyo; (2)RIKEN
P49: Quantification of Information Flow by Dual Reporter Systems and Its Application to Bacterial Chemotaxis Kento Nakamura(1), Hajime Fukuoka(2), Akihiko Ishijima(2), Tetsuya J. Kobayashi(3) (1)RIKEN, Japan; (2)Osaka University, Japan; (3)The University of Tokyo, Japan
P50: TBA Asuka Yamaguchi, et al. TBA
P51: TBA Crisandro Allen R. Lazo, et al. TBA
P52: TBA Silpa Mariya, et al. TBA

Conference Registration

Participation is free of charge.

From young scientists to established leaders, all participants will gain valuable insights. Looking back, this gathering may well be remembered as a historic event.

Venue

Main Venue

Convention Hall, Building "An", Institute of Industrial Science, The University of Tokyo

Access Information

Odakyu Line / Tokyo Metro-Chiyoda Line
8-min walk from Higashi-Kitazawa Station
12-min walk from Yoyogi Uehara Station

Keio Inokashira Line
10-min walk from Komaba-Todaimae Station
10-min walk from Ikenoue Station

Details

See "Access" page in Institute of Industrial Science, The University of Tokyo.

From Biological Complexity to Evolutionary Principles

March 14-16, 2026

Institute of Industrial Science,
The University of Tokyo, Japan

ASSEMBLING DISCIPLINES

Day Event

Speakers

Participants

Antonio Celani

Jeremy Beaulieu

Paul François

Jennifer Schwarz

Hsuan-yi Chen

Suropriya Saha

Wenying Shou

David Brückner

Tetsuya Hiraiwa

Lorenzo Di Michele

Yongdae Shin

Hiroaki Matsunami

Ikuo Masuho

Kyogo Kawaguchi

Masahiro Takinoue

Kazuhiro AOKI

Yasuka TODA

Daiki UMETSU

Satoshi SAWAI

Nen SAITO

Ryo HANAI

Kaoru SUGIMURA

Tetsuya J. KOBAYASHI

Takao K. SUZUKI

Kazufumi HOSODA

Poster Session Times

Poster size

Participation is free of charge.

Main Venue

Access Information

Details

Map

From Biological Complexity to Evolutionary Principles

March 14-16, 2026

Institute of Industrial Science, The University of Tokyo, Japan

ASSEMBLING DISCIPLINES

Day Event

Speakers

Participants

Antonio Celani

Jeremy Beaulieu

Paul François

Jennifer Schwarz

Hsuan-yi Chen

Suropriya Saha

Wenying Shou

David Brückner

Tetsuya Hiraiwa

Lorenzo Di Michele

Yongdae Shin

Hiroaki Matsunami

Ikuo Masuho

Kyogo Kawaguchi

Masahiro Takinoue

Kazuhiro AOKI

Yasuka TODA

Daiki UMETSU

Satoshi SAWAI

Nen SAITO

Ryo HANAI

Kaoru SUGIMURA

Tetsuya J. KOBAYASHI

Takao K. SUZUKI

Kazufumi HOSODA

Poster Session Times

Poster size

Participation is free of charge.

Main Venue

Access Information

Details

Map

Institute of Industrial Science,
The University of Tokyo, Japan