@techreport{oai:ipsj.ixsq.nii.ac.jp:00227623,
 author = {Katsuyuki, Kunida and Yuichi, Sakumura and Katsuyuki, Kunida and Yuichi, Sakumura},
 issue = {3},
 month = {Aug},
 note = {Cell motility is one of the typical cellular functions observed in various life phenomena such as embryonic development, wound healing and cancer cell invasion and metastasis. Cellular deformation associated with cell motility is regulated by a variety of intracellular molecular activities. Limitations in simultaneous live-cell observation of multiple molecules have prevented researchers from elucidating the mechanism of their coordinated dynamic regulation of cellular functions. As previous study, we proposed Motion-Triggered Average (MTA), a novel method of data analysis that converts multiple individually observed molecular activity in a migrating cell into combined pseudo-simultaneous observations based on the reverse correlation analysis1. Using MTA, we successfully extracted pseudo-simultaneous activity of individually observed multiple regulatory molecules of cellular deformation. To verify that the molecular activity time series extracted by MTA encoded information on cell edge movement, we predicted the cell edge velocity from three molecular activities by mathematical model and regression., Cell motility is one of the typical cellular functions observed in various life phenomena such as embryonic development, wound healing and cancer cell invasion and metastasis. Cellular deformation associated with cell motility is regulated by a variety of intracellular molecular activities. Limitations in simultaneous live-cell observation of multiple molecules have prevented researchers from elucidating the mechanism of their coordinated dynamic regulation of cellular functions. As previous study, we proposed Motion-Triggered Average (MTA), a novel method of data analysis that converts multiple individually observed molecular activity in a migrating cell into combined pseudo-simultaneous observations based on the reverse correlation analysis1. Using MTA, we successfully extracted pseudo-simultaneous activity of individually observed multiple regulatory molecules of cellular deformation. To verify that the molecular activity time series extracted by MTA encoded information on cell edge movement, we predicted the cell edge velocity from three molecular activities by mathematical model and regression.},
 title = {Decoding cellular deformation from pseudo-simultaneously observed multiple molecular activities},
 year = {2023}
}