2nd JOINT SYMPOSIUM
BETWEENMECHANOBIOLOGY INSTITUTE
National University of Singapore
AND
UNIVERSAL BIOLOGY INSTITUTE
The University of Tokyo, Japan
September 19-20,2019

Venue:
3F #1320, Faculty of Science Bldg.4, Hongo-Campus, Univ. Tokyo,
Tokyo,Japan
Organizers:
G.V. Shivashankar, Mechanobiology Institute, Singapore
Hideo Higuchi , Universal Biology Institute, JapanThursday
9:30-10:00
10:00-10:30
10:30-11:00

September 19,2019

Nen Saito and Satoshi Sawai(UBI)
Phase-field modeling for 3D morphodynamics in macropinocytosis
Wu Min(MBI)
Opportunities and Challenges in Understanding Cortical Pattern Formation
Tony Kanchanawong(MBI)
Probing the Actin Cortex in Embryonic Stem Cells by Super-resolution
Microscopy

11:00-11:30

Coffee Break

11:30-12:00

Chikara Furusawa(UBI)
Analysis of Evolutionary Constraints and Plasticity by Microbial Laboratory
Evolution and Computational Models.
Paul Matsudaira, Jun Zhong, Dipan Bhattacharya, Sahar Tavakoli,
Alexandre Kabla(MBI)
Imaging the mechanics of early zebrafish development

12:00-12:30

12:30-13:30

Lunch

13:30-14:00

Sosuke Ito(UBI)
Thermodynamic interpretation of information geometry and thermodynamic
uncertainty relationships
Tetsuhiro S. Hatakeyama and Jumpei F. Yamagishi(UBI)
Microeconomics of metabolism: Overflow metabolism as Giffen behavior
Chwee Teck Lim(MBI)
Modes of Collective Cell Migration on 2- and 3-D Substrata
Tetsuya Hiraiwa(MBI)
Dynamical ordering of migrating eukaryotic cells

14:00-14:30
14:30-15:00
15:00-15:30

15:30-16:00

Coffee Break

16:00-16:30

Masashi K. Kajita, Kazuyuki Aihara and Tetsuya J. Kobayashi(UBI)
Stochastic mechanism of cellular ligand discrimination

16:30-17:00

Gen Honda, Akihiko Nakajima, Hirofumi Yoshida, Toshihisa Osaki,
Shoji Takeuchi, Satoshi Sawai (UBI)
Micro-topographical guidance of feeding cups in Dictyostelium discoideum.
Michael Sheetz(MBI)
Out of Touch: Depletion of Mechanosensors Drives Wound-Healing andCancer

17:00-17:30

18:00-20:00

DinnerFriday
9:30-10:00
10:00-10:30

10:30-11:00

September 20,2019

Taketoshi Kambara(RIKEN) and Yasushi Okada(UBI)
Does giraffe kinesin move faster than mouse?
Alexander D. Bershadsky(MBI)
Global self-organization of the actomyosin cytoskeleton and emerging
left-right asymmetry
Motoshi Kaya, Yongtae Hwang and Hideo Higuchi(UBI)
Reverse stroke of cardiac myosin revealed by single molecule microscopy isessential for heart function.

11:00-11:30

Coffee Break

11:30-12:00

Kazunari Mouri(RIKEN) and Yasushi Okada(UBI)
Directional diffusion of axonal proteins captured by a confocal laser
scanning microscopy
Fumio Motegi(MBI)
Symmetry breaking in C. elegans zygotes

12:00-12:30

12:30-14:30

Lunch

14:30-15:00

Toshinori Namba and Shuji Ishihara(UBI)
Essential role of cytoskeleton polarity to determine the direction of basal
bodies in multi-ciliated cells
Yusuke Toyama(MBI)
Mechanical impact of apoptosis in tissue homeostasis

15:00-15:30

15:30-16:00

Coffee Break

16:00-16:30

Tetsuya J. Kobayashi, Kazumasa B. Kaneko, and Taishin Akiyama(UBI)
Quantitative Approaches for understanding homeostatic regulation of
population size and diversity of T cells in thymus
Kunihiko Kaneko(UBI)
Homeorhesis revisited

16:30-17:00

17:15-18:15

Lab Tour & Individual Discussion

18:30-20:30

DinnerPhase-field modeling for 3D morphodynamics in macropinocytosis
Nen Saito# and Satoshi Sawai*# Graduate School of Science, University of Tokyo, Tokyo 113-0033, Japan.
* Graduate School of Arts and Sciences, and Research Center for Complex Systems Biology,
University of Tokyo, Meguro-ku, Tokyo 153-8902, Japan;
Ameboid cells, such as neutrophils, macrophages and Dictyostelium discoideum, show drastic
deformation in cell shape, where sometimes topology of shape can change via endocytosis,
exocytosis, fission and so on. Such deformation plays fundamental roles in many biologicalprocesses.
A remarkable example of such drastic deformation in morphology is macropinocytosis, which isactin-dependent endocytosis and defined as the non-specific uptake of the extracellular fluid
droplet by internalization of plasma membrane. A variety of cell types shows this process toperform specific and distinct functions: Dictyostelium discoideum and tumor cells show
constitutive macropinocytosis for uptake of nutrients from extracellular fluid, and immune cells
use it to survey their external environment and capture antigens. Although many molecules that
regulate macropinocytosis have been identified, how this large internalization is spatially andtemporally regulated remains still unclear.
We introduce a mathematical model based on 3D phase-field method, which enables to simulate
reaction-diffusion

processonthemembrane

and

large

membranedeformation

simultaneously. Using this method, we perform simulation for macropinocytosis. Simulation
results indicate that simple chemical reactions lead to drastic membrane deformation, which
results in an engulfment of extracellular fluid. This study provides a new insight for
macropinocytosis as a self-organization phenomenon via feedback between drastic deformationof membrane and reaction-diffusion on it.

Opportunities and Challenges in Understanding Cortical Pattern Formation
Wu MinMechanobiology Institute, National University of Singapore, Singapore
Periodic wave patterns are widely observed in oscillatory or excitable chemical systems andin multicellular systems such as cardiac tissue and slime molds. More recently, waves ofcortical activity, linked to actin dynamics in many cases, have been documented in a variety
of single-cell systems, including various immune cell types. The mechanisms of patternformation and their biological significance remain largely unknown. We will discuss ourrecent results characterizing cortical waves of active Cdc42 and curvature-generating F-BAR
proteins in mast cells. We are particularly interested in the interconversions between patterns
and the possibility that patterns might encode spatial information in a context-dependent
manner.

Probing the Actin Cortex in Embryonic Stem Cells by Super-resolution
Microscopy
Tony Kanchanawong1,2
Mechanobiology Institute, National University of Singapore, Singapore
2
Department of Biomedical Engineering, National University of Singapore, Singapore
1

Although the cytomechanical properties of pluripotent stem cells are known to be drasticallydifferent from specialized tissue cells, the underlying structural basis has not been fully
understood. Here we investigated the integrin-based focal adhesions (FAs) and cortical actin
cytoskeleton in mESCs using super-resolution microscopy. We observed that mESC FAs
exhibited a multi-layer nanoscale architecture comparable to FAs of differentiated cells, butthat the mESC cortex adopted a remarkably sparse architecture that largely exclude myosin II.
Combining structural and mechanical measurements with molecular perturbation, our results
suggested that mutual competition between formins, Arp2/3, and actin capping protein, CapZ,
governed cortical structure and mechanics, in part through transient aster-like intermediate
structures. This generated low network density that physically excluded myosin II from thecortex. Our results suggest that the distinctive actin cytoskeletal organization in mESCs may
significantly contribute to their unusual cell mechanical properties.

Analysis of Evolutionary Constraints and Plasticity by Microbial Laboratory
Evolution and Computational Models
Chikara Furusawa#*#Center for Biosystems Dynamics Research, RIKEN, Osaka 565-0874, Japan*Universal Biology Institute, Graduate School of Science, University of Tokyo, Tokyo
113-0033, Japan.
Biological systems change their state to evolve and adapt to changes in environmental
conditions. Despite the recognized importance of characterizing the biological capacity to adapt
and evolve, studies on biological evolvability and plasticity have remained at a qualitative level.
To unveil how the course of evolution is constrained in high-dimensional phenotype andgenotype spaces, we performed laboratory evolution under various (more than 100) stressenvironments, and changes in phenotypes and genome sequence were analyzed [1,2]. The
results of these comprehensive analyses demonstrated that the expression changes wererestricted to low-dimensional dynamics, while diverse genomic changes can contribute tosimilar phenotypic changes. Furthermore, to analyze the nature of evolutionary constraint, we
performed computer simulations of adaptive evolution using simple cell models. Again, we
found that cellular state changes in adaptation and evolution are generally restricted to
low-dimensional dynamics. In this simulated dynamics of adaptive evolution, logarithmicchanges in expression are shown to be proportional across all genes, with the proportionality
coefficient given by the change in the growth rate of the cell, which was consistent with theexperimental data [3,4]. Based on these results, we will discuss the nature of phenotypic
plasticity and constraint in bacterial evolution, and possible strategies to predict and control theevolutionary dynamics.
References:[1] S. Suzuki, T. Horinouchi, and C. Furusawa, Nature Comm., 5:5792 (2014)[2] T. Maeda et al, in preparation[3] K. Kaneko, C. Furusawa, and T. Yomo, Phys. Rev. X, 5(1), 011014 (2015)[4] C. Furusawa and K. Kaneko, Phys. Rev. E, 97(4-1):042410 (2018)

Imaging the mechanics of early zebrafish development
Paul Matsudaira1, Jun Zhong1, Dipan Bhattacharya1,3, Sahar Tavakoli 1,4, Alexandre
Kabla 2

1

MechanoBiology Institute, Centre for BioImaging Sciences, Department of Biological
Sciences, National University of Singapore, Singapore
2

Department of Engineering, Cambridge University, Cambridge, UK
3
Institute FIRC of Molecular Oncology (IFOM), Milan 20139, Italy

4

Harvard University, Department of Stem Cell and Regenerative Biology, Harvard
University, Cambridge 02138, USA

The major morphogenetic movement during gastrulation is convergence and extension when
the spherical symmetry of the blastula is transformed into the bilateral symmetry of the adultbody plan. Gastrulation is powered by the motility, reordering, and shape changes ofindividual embryonic cells under the guidance of chemical morphogen gradients. The
motility of individual cells is mechanically translated into motions of the embryonic tissues
over the entire dorsal and ventral hemispheres. We have mapped the mechanical couplingover the surface of the zebrafish embryo during gastrulation from changes in cell density. The
resulting strain maps identify the mechanical signatures of compression when cells converge
to the dorsal midline, expansion when cells extend to form the head and tail structures, andcompression during somite formation. Interestingly, the two step linear motions ofconvergence and extension can be more simply represented by strain as curl or rotation of thedorsal and ventral hemispheres. What else can be learned from mechanical maps? The strain
maps also indicate stationary points and saddle points which are coincident with key
morphological locations on the embryo surface such as the dorsal organizer and morphogen
gradient source and sinks. This correspondence with the positions of developmentally
important regions of the embryo highlights a possible significance between developmental,
mechanical, and mathematical features.

Thermodynamic interpretation of information geometry and thermodynamic
uncertainty relationships
Sosuke Ito
Universal biology institute, The University of Tokyo, Tokyo 113-0033, Japan
Biochemical reaction in a cell is stochastic, and it requires the thermodynamic cost. To
understand information transmission of biological systems, the thermodynamic cost of anon-stationary transition from one chemical distribution to another is a fundamental topic. For
stochastic dynamics described by the master equation, we consider stochastic thermodynamics
to discuss the thermodynamic cost. However the thermodynamic cost can be calculated if wehave the model of biochemical reaction, the universal law of information transmission and thethermodynamic cost has been elusive.
In quantum mechanics, the universal law of information transmission has been discussed in thecontext of the uncertainty relationship. For example, the quantum speed limit, that is theuncertainty relationship between time and energy, has been widely discussed as an energetic
bound of a transition time from one quantum state to another. In our study, we obtain a kind ofthermodynamic speed limits for classical biochemical reaction described by the master equation[1,2]. To consider the set of probability distribution well known as the statistical manifold in
information geometry, we derive a thermodynamic speed limit geometrically. This derivation isbased on an analogy of the quantum speed limit for the quantum information geometry, then our
result is a classical counterpart of the uncertainty relationship for the master equation. Our result
implies a trade-off relationship between speed and the thermodynamic cost; The faster speed ofa transition is, the more thermodynamic cost is needed.
We numerically illustrate our speed limits for a model of enzyme reaction.
[1] Sosuke Ito, Stochastic Thermodynamic Interpretation of Information Geometry, Physical review
letters, 121, 030605 (2018).
[2] Sosuke Ito, Andreas Dechant, Stochastic time-evolution, information geometry and the
Cramer-Rao Bound, arXiv preprint arXiv:1810.06832 (2018).

Microeconomics of metabolism: Overflow metabolism as Giffen behavior
Tetsuhiro S. Hatakeyama and Jumpei F. Yamagishi
Department of Basic Science, Graduate School of Arts and Sciences, The University of Tokyo,
3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
Evolution optimizes the fitness of living beings through natural selection. In particular,
intracellular metabolic systems are rationally regulated to maximize the cellular growth rate.
Correspondingly, the field of microeconomics investigates the behavior of individuals assumed
to act rationally to maximize their utility. Since both are based on optimization, microeconomics
can be applied to analyze the metabolic strategies of cells. Towards this end, we developed amicroeconomics-based theory of cellular metabolism by precisely mapping the regulation of
metabolic systems onto the theory of consumer choice in microeconomics. As a representative
example, we focus on overflow metabolism, a seemingly wasteful strategy in which cells utilize
fermentation instead of the more energetically efficient respiration (so-called Warburg effect incancer). We formulate overflow metabolism as an optimization problem of the allocation ofcarbon fluxes under the guidance of microeconomic theory. Accordingly, we demonstrate that
overflow metabolism corresponds to Giffen behavior in economics, the strange consumer
behavior by which greater amounts of goods are consumed as their price increases. We reveal
the general conditions required for both overflow metabolism and Giffen goods: trade-off andcomplementarity, i.e., the impossibility of substitution for different goods, among multiple
objectives. Based on correspondence with Giffen behavior, a counterintuitive response of
metabolism against the leakage and degradation of intermediate metabolites, which corresponds
to the change in the price of a consumer good, is predicted. Overall, this demonstration
highlights that application of microeconomics to metabolic systems will offer new predictions
and potentially new paradigms for both biology and economics.

Modes of Collective Cell Migration on 2- and 3-D Substrata
Chwee Teck Lim
Mechanobiology Institute, Department of Biomedical
Engineering, Institute for Health Innovation & Technology(iHealthtech) National University of Singapore, Singapore
Cells migrating in sheets or large cohorts tend to behave very differently from cells migrating
individually, especially under geometrical or physical constraints and on 2 and 3D substrata. Such
distinctive behavior of cells migrating in a collective manner underlies several important biologicalprocesses such as wound closure, maintenance of intestinal epithelium, developmental processes andeven cancer metastasis. As such, they can also provide important insights towards better tissue repair
and regenerative medicine. Here, we characterized the kinematic behavior of epithelial cell cohorts
migrating under well defined geometrical constraints and physical confinements such as on a 2D
narrow strips and within 3D microtubes and domes.

Dynamical ordering of migrating eukaryotic cells
Tetsuya Hiraiwa
Mechanobiology Institute, National University of Singapore, Singapore
Migration is a ubiquitous kind of eukaryotic cell motility. Some cells migrate around on thesubstrate or extracellular matrix according to intracellular signals that localize at their front or back.
Such localization occurs even without extracellular cues. In light of this, we established atheoretical model for single eukaryotic cell migration with such intrinsic polarity [1], and arerecently also trying to apply the model to the multicellular behavior when the cells arecommunicating with each other [2].

In this presentation, I will share the results of our numerical model simulations for the multicellularcase with various types of cell-cell communications. I would like to explain firstly various
dynamical ordering found in numerical simulation in the presence of contact following of
locomotion, where the backside cell follows the forward but not the other way around. I willcompare some of the results with observation of the social cellular slime mold, Dictyosteloum
discoideum [3]. I also plan to explain our finding that, incorporating the contact inhibition of
locomotion into the model with volume exclusion, collective directional migration occurs without
any explicit alignment interaction [2]. If time permits, the results for the mutual attacking case,where two colliding cells try to reorient their polarities to each other, which we found leads to cellclusters, will be also explained.
Reference:[1] T. Hiraiwa, A. Nagamatsu, N. Akuzawa, M. Nishikawa, T. Shibata, Physical Biology 11, 056002(2014). [2] T. Hiraiwa, Phys. Rev. E 99, 012614 (2019).
[3] M. Hayakawa, T. Hiraiwa, Y. Wada, H. Kuwayama and T. Shibata, In preparation.

Stochastic mechanism of cellular ligand discrimination
Masashi K. Kajita #, Kazuyuki Aihara #* and Tetsuya J. Kobayashi ##Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan.
*International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo
Institutes for Advanced Study, The University of Tokyo, Tokyo, 113-0033, Japan
Intercellular reactions are inherently stochastic. Nevertheless, cells can precisely respond toenvironmental signals by sensing their target signaling molecules among the other non-target
ones. In the environment, structurally similar non-target molecules are ubiquitous, and thenon-targets may also hamper appropriate reactions to transmit environmental signal by
non-specific interactions with receptors. The problem still remains unsolved is how cells canmitigate the crosstalk by distinguishing the targets from structurally similar non-targets evenusing such a stochastic system. In this talk, we introduce a stochastic chemical reaction network
motivated by a recently observed receptor clustering with single-cell imaging techniques.
Through this model, we provide an explanation about a possible function of the biologicalsystem from the viewpoint of a biophysical error correction mechanism.

Micro-topographical guidance of feeding cups in Dictyostelium discoideum.
○Gen Honda1, Akihiko Nakajima1, Hirofumi Yoshida2, Toshihisa Osaki2, Shoji Takeuchi2,
Satoshi Sawai1, 3
1

Department of Basic Science, Graduate School of Arts and Sciences, University of Tokyo
2

Institute of Industrial Science, University of Tokyo

3

Research Center for Complex Systems Biology, Universal Biology Institute, University ofTokyo

Large-scale membrane evagination of micrometer scale takes place during particle and fluid
uptake.

Patches of dendritic F-actin with locally activated Ras, PIP3 and SCAR/WAVE

complex appear at the initial stage of the feeding cup formation. In case of phagocytosis, thesemembrane patches must be positioned and extended along the particle surface to support
accurate engulfment.

Since efficiency of the engulfment is known to depend on the particle

size and shape, the cup formation and extension must be subject to surface geometry.

Due toexperimental limitation in controlling particle shape variation and the alignment between thecell and the particle orientation, exact parameters that guide membrane protrusion in thisprocess remains unclear. Here, by taking advantage of the actin patches that appear on theventral side of Dictyostelium which permits live-imaging approach combined with substrate
micropatterning experimentation, we demonstrate that de novo nucleation of ventral patches is
topography-dependent and occurs predominantly at the micrometer-scale ridge. Once initiated,
the patches were attracted to positively curved surface and conversely excluded from negatively
curved surface. In accordance with these properties, we observed that patches propagatedalong the edge of microstructures, and often gave rise to directed cell migration.

Theoccurrence of patches and the accompanying cell displacement required appropriate strength ofcell-substrate adhesion and was PI3K-dependent.

Moreover, we found that the

topography-directed process and chemotaxis to extracellular cAMP was mutually exclusive.
These results suggest that the direction to which the membrane is protruded during the initialstage of phagocytic/macropinocytic cup formation is dictated by micrometer-scale topographyof the substrate surface and that it can drive contact-guided cell migration, independent ofchemotaxis.

Out of Touch: Depletion of Mechanosensors Drives Wound-Healing and Cancer
Michael Sheetz1, 2
1
Mechanobiology Institute of Singapore, National University of Singapore, Singapore
2Biochemistry and Molecular Biology University of Texas Medical Branch, Galveston, Texas,
USA
Since repeated tissue damage correlates with increased risk of cancer, there could be a correlation
between tissue regeneration and cancer in that both involve growth in adult tissues. Indeed
microRNA-21 levels are upregulated in both tissue regeneration and cancer. miRNA-21 causes
depletion of several proteins but particularly, tropomyosin (Tpm) 2.1 depletion blocks rigidity sensing
and causes growth on soft surfaces. In over forty cancer cell lines tested, at least 75% were missing
major components of the rigidity sensing complex (about 60% had low Tpm 2.1). The rigidity sensing
complex (about 2 m in length) contracts matrix adhesions by ~100nm; and if the force generated isgreater than ~25 pN, then adhesions are reinforced and cells can grow (Wolfenson et al., 2016. Nat
Cell Bio. 18:33). However, if the surface is soft and matrix force low, then the rigidity sensor innormal cells causes apoptosis by DAPK1 activation (Qin et al., 2018 BioRxiv. 320739). Transformed
cancer cells lack rigidity-sensing contractions and grow on soft surfaces. Restoration of rigidity
sensing in cancer cells by normalizing cytoskeletal protein levels (most often by restoring Tpm 2.1
levels) restores rigidity-dependent growth (Yang, B. et al., 2018 Nature Mat. In Press). Surprisingly,
we find that cyclic mechanical stretch of transformed cancer cells activates apoptosis throughcalpain-dependent apoptosis. Restoring rigidity sensing in transformed cancer cells blocked
stretch-induced apoptosis and caused rigidity-dependent growth (Tijore et al., 2018 BioRxiv. 491746).
Conversely, normal cells become stretch-sensitive for apoptosis after transformation by depleting
rigidity sensors through Tpm2.1 kockdown or knockdown of other tumor suppressor proteins needed
for rigidity sensing . Thus, it seems that stretch sensitivity is a weakness of many cancer cell lines andthis is related to the transformed cell state and not to the tissue type or other factors. Depletion of therigidity sensor to allow regenerative growth is found in the great majority of cancer cells and results intransformed growth. Tumor growth involves many different aspects such as telomere elongation orchanges in metabolism but transformation appears necessary.

Does giraffe kinesin move faster than mouse?
Taketoshi Kambara#, and Yasushi Okada#*#Laboratory for Cell polarity Regulation, Center for Biosystems Dynamics Research, RIKEN,
Osaka 565-0874, Japan. *Department of Physics, Graduate School of Science, University ofTokyo, Tokyo 113-0033, Japan.
Axonal transport has been demonstrated to be essential for various neuronal functions including
neurite formation and extension, synaptic functions and survival. Many neurodegenerative
diseases are known to be caused by the mutations in the genes related to this transport system.
For example, various point mutations in the motor domain of KIF5A, a vertebrate specificneuronal isoform of kinesin-1, is known to be causative for an autosomal dominant form
(SCG10) of hereditary spastic paraplegia (HSP), which mainly affects the distal part of the long
motor tracts in the spinal cord. Most of the HSP mutations partially impairs the motor activity of
KIF5A. Its velocity is reduced by 25-75% of the wild type. Considering that the mutatedproteins are expressed at the similar amount to the wild type proteins, the transport would be
only slightly slower in the heterozygous patients’ neurons. That would explain why neurons
with longest axons are affected. If fast velocity is important for the survival of neurons withlong axons, large animals with longer axons than human would require faster kinesin. Here, we
addressed a simple question. Does kinesin of giraffe move faster than that of small animals suchas mice? The motility of recombinant giraffe KIF5A (GcKIF5A) was compared with mouse
KIF5A (MmKIF5A) both in vitro and in cellulo. GcKIF5A moved about 25 % faster than
MmKIF5A on purified neuronal microtubules in vitro and in axon, but similar velocity with
MmKIF5A in dendrites and non-neuronal cells. Interestingly, specific amino acid substitutions
found in the motor domain of GcKIF5a were conserved only on burmese python KIF5a(PbKIF5a) among 150 species analyzed, and PbKIF5a moved significantly faster than
MmKIF5a on purified neuronal microtubules in vitro. These results suggest that KIF5a of large
animals with longer axons might have adapted for the longer axonal transport.

Global self-organization of the actomyosin cytoskeleton and emerging left-rightasymmetry
Alexander D. Bershadsky1,2
Mechanobiology Institute, National University of Singapore, Singapore
2
Department of Molecular Cell Biology, Weizmann Institute of Science, Israel
1

Processes of self-organization of the actin filament bundles (actin fibers) in cells are not sufficiently
understood. Here, we discuss two group of mechanisms underlying such self-organization: (i)assembly and periodic ordering of myosin IIA filaments, determining formation of actin fiber
arrays, cell contractility and adhesion, and (ii) chiral actin cytoskeleton swirling responsible for
emerging left- right asymmetry.
Super-resolution imaging of myosin IIA filaments using structured illumination microscopy (SIM)revealed a number of local and global factors (often operating via Rho-ROCK-signaling axis),
which regulate filament assembly and mutual organization. Degree of the myosin IIA filament
ordering is also regulated by other actin-associated proteins, such as tropomyosins andalpha-actinins. Traction forces developed by cells inversely correlate with the myosin IIA filament
ordering. Myosin IIA -driven remodeling of the actin cytoskeleton affects the integrin-mediated cellmatrix interaction, promoting assembly of focal adhesions and eliminating the podosome-typeadhesions.
Chiral swirling of the actin cytoskeleton, observed in individual cells confined to isotropic circularadhesive islands, is found to be driven by interactions between two types of actin fibers: radial,growing from focal adhesions, and transverse, enriched in myosin IIA and moving centripetally
through the lamella. While myosin IIA-dependent centripetal flow provides a driving force forswirling, the chirality is determined by asymmetric tilting of the radial fibers. Such tilting criticallydepends on formin mDia1 and is regulated by other proteins controlling actin polymerization(profilin-1) and cross- linking (alpha-actinins 1 and 4). We showed that genetic andpharmacological perturbations that reverse or inhibit the actin cytoskeleton chirality in individual
cells similarly affect the chiral alignment in groups of ~100 cells confined to rectangular adhesive
substrate. Thus, actin cytoskeleton chirality can potentially underlie the asymmetric morphogenesis
in cell groups and therefore could determine the left-right asymmetry of tissues and embryos.

Reverse stroke of cardiac myosin revealed by single molecule microscopy isessential for heart function.
Motoshi Kaya, Yongtae Hwang and Hideo Higuchi
Department of Physics, Graduate School of Science, University of Tokyo, Tokyo 113-0033,
Japan.
In order to elucidate the molecular mechanism of how dynamics of cardiac myosins contributeto heart function, we measured forces of synthetic β-cardiac myosin filaments using opticaltweezers and revealed stepwise displacements of actin filaments driven by myosins under awide range of loads. The stepping ratio, which is the ratio of the numbers of forward steps
relative to backward steps, under unloaded conditions decreased with increasing ATP
concentrations. Compared with skeletal myosin, the stepping ratio of cardiac myosin is much
lower than that of skeletal myosin, indicating cardiac myosin shows frequent backward steps.
Meanwhile, the peak forces generated by cardiac myofilaments with ~15 interacting molecules
were 1.5-2 times higher than those observed in skeletal myofilaments with nearly the same
number of interacting molecules. Based on these findings, we developed a simulation modelto understand which molecular properties critically affect on stepping behaviors and force
outputs in cardiac myofilaments.

The simulation suggested that reverse stroke in ADP states isa key feature to cause frequent backward steps at higher ATP concentrations, resulting lower
stepping ratio. Moreover, switching between two ADP states associated with the alternate
execution of power and reverse strokes keeps many myosins populated in force-generatingstates, enhancing the duty ratio and force outputs. Therefore, we further investigated whether
single cardiac myosin can execute the power and reverse strokes in ADP state under a variety ofloading conditions. When single cardiac myosins interacting with single actin filaments werestretched by optical tweezers, beads’ positions were occasionally switched between two discretelevels for high loads, implying the load-dependent execution of power and reverse strokes. To
know physiological meaning of reverse stroke, we simulated dynamics of myosins in sarcomere
and found that the reverse stroke plays a crucial role in reducing the rate of ATP consumption
during isometric contraction.

Also, we implemented such molecular properties into a wholeheart simulator and found that the reverse stroke is a unique future of cardiac myosin andessential for maintaining high systolic blood pressure and a rapid relaxation of diastolic bloodpressure.

Directional diffusion of axonal proteins captured by a confocal laser scanningmicroscopy
Kazunari Mouri1, Yasushi Okada1,2
1Center for Biosystems Dynamics Research (BDR), RIKEN, Osaka, Japan. 2Department of

Physics, Universal Biology Institute (UBI) and International Research Center for
Neurointelligence (WPI-IRCN), The University of Tokyo, Tokyo, Japan.
Some neuronal axons extend over several meters long. Motor proteins, such as kinesin anddynein, enable to transport synaptic vesicles and other soluble proteins, but characteristics ofmotion have not been captured clearly. We developed a method which can extract the speed anddirection of flow based on fluorescent correlation spectroscopy (FCS) with image processing
algorithm. In the reconstructed image sequences captured by this FCS method, we findtrajectories of single particles. Applying single particle tracking (SPT) analyses for these
trajectories, we observed biased Brownian motions, where the molecules diffuse, but aregradually transported to one direction. We apply these methods to several axonal proteins, anddiscuss quantitative results of them.

Symmetry breaking in C. elegans zygotes
Fumio Motegi
Mechanobiology Institute, National University of Singapore, Singapore
Cell polarity is facilitated by a rearrangement of the actin cytoskeleton at the cell cortex. The
program triggering the asymmetric remodeling of contractile actomyosin networks remains poorly
understood. We show that polarization of Caenorhabditis elegans zygotes is established throughsequential downregulation of cortical actomyosin networks by the mitotic kinase, Aurora-A.
Aurora-A accumulates around centrosomes to locally disrupt the actomyosin contractile activity at
the proximal cortex, thereby promoting cortical flows during symmetry breaking. Translocation of
Aurora-A from the cytoplasm to the cortex is sufficient to interfere with the cortical actomyosin
networks independently of its roles in centrosome maturation and cell-cycle progression. We
propose that Aurora-A activity is the long sought-after centrosome-mediated symmetry-breakingcue that breaks symmetry in actomyosin contractile activity. We will also discuss how thisAurora-A cascade downregulates actomyosin contractility at the cortex.

Essential role of cytoskeleton polarity to determine the direction of basal bodies in
multi-ciliated cells
Toshinori Namba# and Shuji Ishihara#*#Graduate School of Arts and Sciences, The University of Tokyo, Komaba, 153-8902 Tokyo,
Japan. *Universal Biology Institute, The University of Tokyo, Komaba, 153-8902 Tokyo, Japan.
Synchronous and directed ciliary beating in trachea plays an important role for transport andejection of virus and dust from the body, known as “mucociliary transport.” This ciliary function
depends on the coordinated configuration of basal bodies (BBs, root of cilia) in apical cell
membrane, where BBs are regularly aligned and are oriented in the same direction. It has been
experimentally suggested that microtubules (MT) and apical cytoskeleton (CSK) such as planarcell polarity (PCP) are involved in the formation of the BBs pattern, however, we still lackcoherent explanation how these factors are acting for coordinating BBs, particularly fordirecting of BBs. By considering symmetry of the pattern to be formed, here we first show thenecessity of the polarity in the MT bundles. Distribution in relative angles between the MTs andBBs is shown to be biased, supporting that the polarity is maintained in the bundle of MTs. Next,
we derive a mathematical model for BB patterning by combining the polarity andself-organizational ability of CSKs. The effect of PCP is incorporated as inhomogeneous
boundary condition. The model reproduces various experimental observations including normal
and drug-treated phenotypes. We will discuss mechanism of the ordering of BBs by
investigating the interaction between BBs and CSK. Implication of our study on cell chirality
will be also mentioned.

Mechanical impact of apoptosis in tissue homeostasis
Yusuke Toyama1,2
Mechanobiology Institute, National University of Singapore, Singapore
2
Department of Biological Sciences, National University of Singapore, Singapore
1

Apoptosis, or programmed cell death, is the most common mechanism of eliminating damaged or
unnecessary cells during embryonic development, tissue homeostasis, and certain pathologicalconditions. When a cell undergoes apoptosis within a tissue, the apoptotic cell is expelled from its
neighboring non- dying cells. It has been shown by many labs, including ours, that this mechanicalprocess is driven by the formation and contraction of the actomyosin cables in the dying and theneighboring cells, and/or by the lamellipodial crawling of the neighboring cells. However, how cellmechanics arises upon apoptotic cell extrusion and feedbacks to cellular and molecular function
especially in the neighboring non-dying cells is largely illusive. In this presentation, I will present ourcurrent understandings of how mechanical tension and biochemical natures are altered in theneighboring cells as a consequence of apoptosis, and how these two factors are related to each other.

Quantitative Approaches for understanding homeostatic regulation of population
size and diversity of T cells in thymus
Tetsuya J. Kobayashi#*, Kazumasa B. Kaneko*, and Taishin Akiyama†# Institute of Industrial Science, University of Tokyo 153-8505, Japan.
* Graduate School of Engineering, the University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo
113-8656, Japan.
†RIKEN Center for Integrative Medical Sciences, Kanagawa 230-0045, Japan.
The immune system is essential for maintaining the homeostasis of our bodies, and the immune
system itself is highly homeostatatic. In particular, for the function of the adaptive immune
system, it is essential to appropriately control and maintain the quantity (population size) andquality (diversity) of T cells, which are central to the operation of the adaptive immune system.
Recent advances in quantitative imaging and single cell sequencing technologies have enabled
us to quantitatively measure the quantity and quality of cells by combining mathematical andbioinformatic techniques.
In this talk, we focus on the development of T cells in the thymus and it maintenance andrecovery of homeostasis in response to environmental perturbations.
First, we investigate how the population size of the developing T cells in a thymus is regulatedby the interactions between T thymocytes and thymic epithelial cells. We estimated theinteractions by applying mathematical modeling to quantitative data on the recovery dynamics
of the number of T cells. Our analysis has revealed that the population sizes of the thymic T andepithelial cells are reciprocally regulated in a quite complex manner.
Next, we investigate the diversity of the thymic T cell population and its dynamics by analyzing
sequence data of T cell receptors (TCRs). By quantifying diversity measures of the population,
we identified subset of T cells that are lost upon perturbation but eventually recovered. We also
show that the composition of different T cells changes over time by reflecting recovery kinetics.
Finally, I would like to describe the current state of our efforts to combine these two approaches
to determine how receptor diversity is maintained during T-cell development in the thymus.

Homeorhesis revisited
Kunihiko Kaneko
Center for Complex Systems Biology, Universal Biology Institute,

University of Tokyo,

Tokyo 153-8902, Japan.
Homeostasis or robustness of cellular states has gathered much attention over decades. To
study the evolution and development, however, we must consider not only the robustness of the
final state, but also the stability of the process/pathway leading to it. In fact, Waddington, withhis celebrated epigenetic landscape, coined the term homeorhesis to discuss the latter issue.
Indeed, the homeostasis is represented by the motion of a ball falling on along the valley in thelandscape, now understood as the approach to an attractor, whereas the motion along the slow
change in the landscape can lead to the homeorhesis. Then, what does this slow
landscape-change mean? First, we discuss how slow modes emerge through evolution. Next, we
discuss the homeorhetic cell-differentiation process through the epigenetic modification process
and cell-cell interaction.
Kaneko, K., & Furusawa, C. (2018). Macroscopic Theory for Evolving Biological Systems Akinto Thermodynamics. Annual review of biophysics, 47, 273-290.
Furusawa, C., & Kaneko, K. (2012). A dynamical-systems view of stem cell biology. Science,
338(6104), 215-217
Miyamoto, T., Furusawa, C., & Kaneko, K. (2015). Pluripotency, differentiation, andreprogramming: a gene expression dynamics model with epigenetic feedback regulation. PLoS
computational biology, 11(8), e1004476.
Matsushita Y.& Kaneko, K. in preparation