Abstract

Heterogeneity of cell phenotypes remains a barrier in progressing cell research and a challenge in conquering cancer-related drug resistance. Cell morphology, the most direct property of cell phenotype, evolves along the progression of the cell cycle; meanwhile, cell motility, the dynamic property of cell phenotype, also alters over the cell cycle. However, a quantifiable research understanding the relationship between the cell cycle and cell migration is missing. Herein, we coordinate the migratory behaviours of NIH 3T3 fibroblasts to their corresponding phases of the cell cycle, the G1, the S, and the G2 phases, and explain the relationship through the spatiotemporal arrangements between the Rho GTPases’ signals and cyclin-dependent kinase inhibitors, p21Cip1, and p27Kip1. Taken together, we demonstrate that both cell morphology and the dynamic subcellular behaviour are homogenous within each stage of the cell cycle phases but heterogenous between phases through quantitative cell analyses and an interactive molecular mechanism between the cell cycle and cell migration, posing potential implications in countering drug resistance.

Details

Title
Decomposition of cell activities revealing the role of the cell cycle in driving biofunctional heterogeneity
Author
Tian, Lan 1 ; Yu, Meng 2 ; Chen, Weisheng 3 ; Yin, Jun 3 ; Chang Hsiang-Tsun 3 ; Tang, Shan 3 ; Zhao, Ye 2 ; Svoronos Spyros 3 ; Wong Samuel W K 4 ; Tseng Yiider 1 

 Shandong University of Traditional Chinese Medicine, Innovation Research Institute of Traditional Chinese Medicine, Jinan, China (GRID:grid.464402.0) (ISNI:0000 0000 9459 9325); University of Florida, Department of Chemical Engineering, Gainesville, USA (GRID:grid.15276.37) (ISNI:0000 0004 1936 8091) 
 Shandong University of Traditional Chinese Medicine, Innovation Research Institute of Traditional Chinese Medicine, Jinan, China (GRID:grid.464402.0) (ISNI:0000 0000 9459 9325) 
 University of Florida, Department of Chemical Engineering, Gainesville, USA (GRID:grid.15276.37) (ISNI:0000 0004 1936 8091) 
 University of Waterloo, Department of Statistics and Actuarial Science, Waterloo, Canada (GRID:grid.46078.3d) (ISNI:0000 0000 8644 1405) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2607082198
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.