@article{oai:yamagata.repo.nii.ac.jp:00005379,
 author = {武田, 裕司 and 河野, 和晴 and 馬, 銳 and 斉藤, 真一 and 浅尾, 裕信},
 issue = {1},
 journal = {山形大学紀要. 医学 : 山形医学, Bulletin of the Yamagata University. Medical science : Yamagata medical journal},
 month = {Feb},
 note = {論文(Article), Signal transduction is thought to control flexible cellular responses by combining a specific robust response with a regulatory ability to interact with multiple signals. Previous biophysical studies have proposed that cell behavior be expressed in a multidimensional space with a basin of attractors. Alternatively, flow cytometry analysis provides mean fluorescence intensity（ MFI） and coefficient of variation （CV） in an arbitrary cell population. In terms of the biophysical concept, MFI and CV are considered to be the activation energy and cell fluctuations, respectively. In the current study, we present a new approach to understand cell signaling pathways associated with cell behavior linking the above concepts. To link the biophysical concept and flow cytometry data, we measured the phosphorylation levels of signal transducers in a cell and the fluctuation of the phosphorylation level in a population of cells. Topologically, the changes in MFI and CV were categorized into five patterns,which indicated emergent properties of cell behavior. The novel classification method is a simple and effective approach for classifying unknown network systems without using machine learning algorithms or ontology analysis},
 pages = {1--20},
 title = {Five Patterns of Cell Signaling Associated with Cell Behavior},
 volume = {40},
 year = {2022}
}