Cellular Ethological DynamicsBook Review
Authors: Toshiyuki Nakagaki + Takuji Ishikawa (Editors), Publication Date: December 22, 2025, Publisher: University of Tokyo Press, Price: 3500 yen excluding tax
This book, "Cellular Behavioral Dynamics," is an ambitious introductory text that attempts to re-examine "cell behavior" by moving a step beyond findings obtained in well-controlled laboratory environments to understand how cells behave within their inherently diverse and complex settings. Using our understanding of movement in culture dishes as a stepping stone, it broadens the perspective to the spatiotemporally heterogeneous and non-stationary environments within living organisms, clearly guiding the reader by introducing the contrast between panoramas (in vivo/nature) and dioramas (artificial reconstitution) as a bridge between them.
I am involved in fertilization research using Xenopus laevis egg cells, but I am not an expert in cell motility. That is precisely why I was drawn to this book's approach of strongly highlighting eukaryotic unicellular organisms (protists) and raising questions from rich examples of their movement, behavior, and life history. Multicellular organisms are merely a fraction of the genetic diversity of eukaryotes, and the fundamental biological interest and importance of protists serve as a stimulus for me—even while dealing with the giant cell that is the egg cell—to rethink cells as "acting subjects."
The core of this book lies in clearly positioning mechanics-based model equations toward elucidating the mechanisms of cell behavior. When dealing with movement in complex environments, differential equations demonstrate their power, and the blueprint of connecting to real-world behavior through boundary conditions, initial conditions, and parameter adjustment provides experimentalist readers with a sense of where to "apply" models. Furthermore, the scope of rethinking the behavioral processes reproduced by the model equations as "the cell's own information processing (problem-solving algorithms)" and opening the discussion to a comparison with current information processing algorithms is of great significance.
As the table of contents shows, the flow of opening up the horizons of the subject and research questions in Chapter 1, covering observation/measurement and diorama environment creation in Chapter 2, laying down the basics of mechanics and mathematical models in Chapter 3, stepping into algorithms such as taxis, collective motion, and bioconvection in Chapter 4, and evaluating "proto-intelligence" as a heuristic in Chapter 5 is step-by-step and accessible even to readers from outside the field. In addition, the columns serve effectively as gateways to individual topics.
Read from the perspective of fertilization research, the question of how cells respond to external disturbances and, on what scale, what they perceive to assemble their behavior is also fundamental to understanding "moving/changing cells," including gametes and early embryos. While accessible to non-specialists, by the time you finish reading, your hands start moving, wondering, "So, what kind of diorama environment can I create in my own experimental system?" By shifting the view of cells from things that move to things that solve problems, this book serves as an excellent stimulant that transcends the boundaries of cell biology and mathematics.
Kenichi Sato (Faculty of Life Sciences, Kyoto Sangyo University)
