
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 @.
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 (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 (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 (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