title: Memory of cell shape biases stochastic fate decision-making despite mitotic rounding.
abstract: Cell shape influences function, and the current model suggests that such shape effect is transient. However, cells dynamically change their shapes, thus, the critical question is whether shape information remains influential on future cell function even after the original shape is lost. We address this question by integrating experimental and computational approaches. Quantitative live imaging of asymmetric cell-fate decision-making and their live shape manipulation demonstrates that cellular eccentricity of progenitor cell indeed biases stochastic fate decisions of daughter cells despite mitotic rounding. Modelling and simulation indicates that polarized localization of Delta protein instructs by the progenitor eccentricity is an origin of the bias. Simulation with varying parameters predicts that diffusion rate and abundance of Delta molecules quantitatively influence the bias. These predictions are experimentally validated by physical and genetic methods, showing that cells exploit a mechanism reported herein to influence their future fates based on their past shape despite dynamic shape changes.
authors.affiliation: The Thomas N. Sato BioMEC-X Laboratories, Advanced Telecommunications Research Institute International (ATR), Hikaridai 2-2-2, Kyoto 619-0288, Japan.
authors.forename: Takashi
authors.initials: T
authors.lastname: Akanuma
authors.affiliation: Centrum Wiskunde &Informatica, Life Sciences Group, Science Park 123, 1098 XG, Amsterdam, The Netherlands.|Section Computational Science, Informatics Institute, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands.
authors.forename: Cong
authors.initials: C
authors.lastname: Chen
authors.affiliation: The Thomas N. Sato BioMEC-X Laboratories, Advanced Telecommunications Research Institute International (ATR), Hikaridai 2-2-2, Kyoto 619-0288, Japan.|Graduate School of Information Science, Nara Institute of Science and Technology, Takayama 8916-5, Ikoma-shi, Nara 630-0192, Japan.
authors.forename: Tetsuo
authors.initials: T
authors.lastname: Sato
authors.affiliation: Centrum Wiskunde &Informatica, Life Sciences Group, Science Park 123, 1098 XG, Amsterdam, The Netherlands.|Mathematical Institute, Research Programme Analysis and Dynamical Systems, Leiden University, P.O. Box 9512, 2300 RA Leiden, The Netherlands.
authors.forename: Roeland M H
authors.initials: RM
authors.lastname: Merks
authors.affiliation: The Thomas N. Sato BioMEC-X Laboratories, Advanced Telecommunications Research Institute International (ATR), Hikaridai 2-2-2, Kyoto 619-0288, Japan.|ERATO Sato Live Bio-Forecasting Project, Japan Science and Technology Agency (JST), Hikaridai 2-2-2, Kyoto 619-0288, Japan.|Department of Biomedical Engineering, Cornell University, 101 Weill Hall, Ithaca, New York 14853, USA.|Centenary Institute, Sydney, Locked Bag 6, Newtown, New South Wales 2042, Australia.
authors.forename: Thomas N
authors.initials: TN
authors.lastname: Sato
mesh_terms: D048430:Cell Shape; D003198:Computer Simulation; D047908:Intracellular Signaling Peptides and Proteins / Q000502:physiology; D008565:Membrane Proteins / Q000502:physiology; D008938:Mitosis; D008954:Models, Biological
chemical_list: D047908:Intracellular Signaling Peptides and Proteins; D008565:Membrane Proteins; C064045:delta protein