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Research

Research

BDR researchers coming from diverse research fields are working together to achieve higher goals.

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Seminars & Symposia

BDR hosts annual symposium and regular seminars inviting international scientists in life science.

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Careers & Study

BDR embraces people from diverse backgrounds, and strives to create an open and supportive setting for research.

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BDR communicates the appeal and significance of our research to society through the use of various media and activities.

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About Us

About Us

Exploring the scientific foundations of life through interdisciplinary approaches to address society’s problems.

Photo of Team leder, Chikara Furusawa

Team Leader
Chikara Furusawa Ph.D.

Laboratory for Multiscale Biosystem Dynamics


Location Osaka / Quantitative Biology Buildings

E-mail chikara.furusawa[at]riken.jp

Please replace [at] with @.

Universal Biology based on theoretical and experimental approaches

We study multi-scale dynamics in biological systems, such as differentiation and evolution, using both theoretical and experimental approaches. For example, we analyze phenotypic/genetic changes of microorganisms during experimental evolution, to unveil interplay between the dynamics of adaptation and evolution. We also study the dynamics differentiation process of stem cells using theoretical models to understand how cell-cell interactions bring about cellular diversifications and robust development of multicellular systems.

Research Theme

  • Analysis of developmental process using theoretical cell models
  • Study of evolutionary dynamics of microorganisms by comprehensive phenotypic/genetic analysis
  • Development of algorithm for high-resolution comprehensive phenotypic/genetic analysis

Selected Publications

Maeda T, Iwasawa J, Kotani H, et al.
High-throughput laboratory evolution reveals evolutionary constraints in Escherichia coli.
Nature Communications 11, 5970 (2020) doi: 10.1038/s41467-020-19713-w

Furusawa C, Horinouchi T, Maeda T.
Toward prediction and control of antibiotic-resistance evolution.
Current Opinion in Biotechnology 54, 45-49 (2018) doi: 10.1016/j.copbio.2018.01.026

Yoshida M, Reyes SG, Tsuda S, et al.
Time-programmable drug dosing allows the manipulation, suppression and reversal of antibiotic drug resistance in vitro.
Nature Communications 8, 15589 (2017) doi: 10.1038/ncomms15589

Horinouchi T, Suzuki S, Hirasawa T, et al.
Phenotypic convergence in bacterial adaptive evolution to ethanol stress.
Bmc Evolutionary Biology 15, 180 (2015) doi: 10.1186/s12862-015-0454-6

Furusawa C, Kaneko K.
Global relationships in fluctuation and response in adaptive evolution.
Journal of the Royal Society Interface 12(109), 20150482 (2015) doi: 10.1098/rsif.2015.0482

Kaneko K, Furusawa C, Yomo T.
Universal Relationship in Gene-Expression Changes for Cells in Steady-Growth State.
Physical Review X 5(1), 011014 (2015) doi: 10.1103/PhysRevX.5.011014

Suzuki S, Horinouchi T, Furusawa C.
Prediction of antibiotic resistance by gene expression profiles.
Nature Communications 5, 5792 (2014) doi: 10.1038/ncomms6792

Horinouchi T, Minamoto T, Suzuki S, et al.
Development of an Automated Culture System for Laboratory Evolution.
Journal of Laboratory Automation 19(5), 478-482 (2014) doi: 10.1177/2211068214521417

Ohno S, Shimizu H, Furusawa C.
FastPros: screening of reaction knockout strategies for metabolic engineering.
Bioinformatics 30(7), 981-987 (2014) doi: 10.1093/bioinformatics/btt672

Furusawa C, Kaneko K.
A Dynamical-Systems View of Stem Cell Biology.
Science 338(6104), 215-217 (2012) doi: 10.1126/science.1224311

Furusawa C, Kaneko K.
Adaptation to Optimal Cell Growth through Self-Organized Criticality.
Physical Review Letters 108(20), 208103 (2012) doi: 10.1103/PhysRevLett.108.208103

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