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

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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

Uchida Y, Shigenobu S, Takeda H, et al.
Potential contribution of intrinsic developmental stability toward body plan conservation.
BMC Biology 20(1), 82 Mon Apr 11 00:00:00 JST 2022 doi: 10.1186/s12915-022-01276-5

Furusawa C, Tanabe K, Ishii C, et al.
Decoding gut microbiota by imaging analysis of fecal samples.
iScience 24(12), 103481 Fri Dec 17 00:00:00 JST 2021 doi: 10.1016/j.isci.2021.103481

Maeda T, Iwasawa J, Kotani H, et al.
High-throughput laboratory evolution reveals evolutionary constraints in Escherichia coli.
Nature Communications 11, 5970 Tue Dec 01 00:00:00 JST 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 Sat Dec 01 00:00:00 JST 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 Fri Dec 01 00:00:00 JST 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 Tue Dec 01 00:00:00 JST 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 Sun Nov 01 00:00:00 JST 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 Thu Oct 01 00:00:00 JST 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 Mon Dec 01 00:00:00 JST 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 Sat Nov 01 00:00:00 JST 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 Wed Oct 01 00:00:00 JST 2014 doi: 10.1093/bioinformatics/btt672

Furusawa C, Kaneko K.
A Dynamical-Systems View of Stem Cell Biology.
Science 338(6104), 215-217 Sat Dec 01 00:00:00 JST 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 Thu Nov 01 00:00:00 JST 2012 doi: 10.1103/PhysRevLett.108.208103

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