Md Motaleb HOSSAIN | Komatsuzaki Group, Hokkaido University

	Research Fellow
	Molecule & Life Nonlinear Sciences Laboratory, Research Center of Mathematics for Social Creativity, Research Institute for Electronic Science
	Office: Research Institute for Electronic Science, 5th floor, room 203
	Mailing address: Research Institute for Electronic Science, Hokkaido University, Kita 20 Nishi 10, Kita-ku, Sapporo 001-0020, Japan
	FAX: (+81)11-706-9459
	TEL: (+81)11-706-9437
	E-mail:

Research Interests

Collective migration of cells, a dynamic phenomenon, is one of the key factors of many biological processes such as wound-healing, fracture-healing, tissue development as well as various disease related processes like cancer metastasis etc [S. K. Schnyder et.al. Scientific Reports, 7: 5163 (2017)]. To investigate different types of underlying mechanisms and general structures of those biological phenomena, it is needed to model the collective motion of cells (i.e., cells displacement) along with the theoretical analysis and numerical simulations. Researcher developed some biophysical model to examine the general properties of multi-cellular migration. Dynamics of colloidal fluids, analogous to cell migration, are investigated by Nag et.al. [The journal of chemical physics 141, 104907 (2014)]. Yet, how individual cell behavior influences large-scale, multi-cell collective motion remains unclear. It may be obvious that, strong interactions exist among the cells during collective migration and some information may be transferred among them due to that interaction. One individual cell may directly influence the motions of other cells, which stimulates the researchers to investigate the leadership phenomena in the collective migration. In the light of these developed models, to further investigate the collective motion of cells, we would like to use the Lagrangian Coherent Structures (LCSs) computed from finite-time Lyapunov exponent (FTLE) and information-theoretic metric, e.g., Transfer Entropy (TE), a measure of information flow between two random processes, originated from the concept of Shannon entropy.

Relevant publications

2021

[2]Udoy S. Basak, Sulimon Sattari, Md. Motaleb Hossain, Kazuki Horikawa, Tamiki Komatsuzaki
Transfer entropy dependent on distance among agents in quantifying leader-follower relationships
Biophysics and Physicobiology 18, pp.131-144 (2021)
DOI: 10.2142/biophysico.bppb-v18.015

[1]Udoy S. Basak, Sulimon Sattari, Md. Motaleb Hossain, Kazuki Horikawa, Tamiki Komatsuzaki
An information-theoretic approach to infer the underlying interaction domain among elements from finite length trajectories in a noisy environment
J. Chem. Phys. 154, pp.034901-1-034901-12 (2021)
DOI: 10.1063/5.0034467

Presentation

2020

[3]Sulimon Sattari, Udoy Basak, Motaleb Md. Hossain, Kazuki Horikawa, Tamiki Komatsuzaki
Vector analysis of amoeba motion with respect to the propagation of chemoattractant cyclic-AMP: The 21st RIES-HOKUDAI International Symposium(12.10-12.11 ,2020), Online, Sapporo 12, 10 (Poster)

[2]Md. Motaleb Hossain, Sulimon Sattari, Udoy Sankar Basak, Kazuki Horikawa, Tamiki Komatsuzaki
Vector analysis of amoeba motion response to a cyclic-AMP wave: The 21st RIES-HOKUDAI International Symposium(12.10-12.11 ,2020), Online, Sapporo 12, 10 (Poster)

[1]Udoy S. Basak, Sulimon Sattari, Motaleb M. Hossain, Kazuki Horikawa, Tamiki Komatsuzaki
Inferring domain of Interaction among Dictyostelium discoideum colony from the ensemble of Trajectories of cells: The 21st RIES-HOKUDAI International Symposium(12.10-12.11 ,2020), Online, Sapporo 12, 10 (Poster)