Integrating transient cellular and nuclear motions to comprehensively describe cell migration patterns

Abstract

Various subcellular activities, such as protrusion and detachment, compose a cell migration process. The molecular mechanisms of these subcellular activities have been elucidated. However, there is no method that can assess the contributions of these subcellular activities to the global cell migration pattern of a given cell type. Hence, we develop a powerful approach based on CN correlations that quantitatively profiles the cell migration pattern of a given cell type in terms of assembled subcellular activities. In this way, we bridge migration data at the cellular level with underlying molecular mechanisms. The CN correlation profile is found to uniquely and consistently represent the cell migration pattern of each cell type probed. It can clearly reveal the effects of molecular perturbations, such as Y27632 and Cdc42 knockdown on each subcellular migratory activity. As a result, the CN correlation approach serves as a cell dynamic descriptor that can extract comprehensive quantitative data from cell migration movies for integrative biological analyses.

Imbalanced dietary intake alters the colonic microbial profile in growing rats

“…Gut microbiota plays an important role in maintaining health by regulating the metabolites such as SCFAs and molecules like immunoglobulins, and protect the host from external pathogens and potentially harmful bacteria residing in the intestine [ 28 ].…”

Phenotype Spectrum reflects Synergies among the Cell Architecture over Stages of the Cell Cycle

“…Despite the activity profiles of key proteins tightly correspond to a specific cell behavior, the whole cell physiology cannot be solely determined by discrete genomic and proteomic data due to the complex signaling crosstalk. However, the abundance of molecular information can be tightly integrated by single-cell behavior analysis platform, such as through the CN correlation analysis (Lan et al, 2016;Lan et al, 2018), which can collectively describe live-cell behaviors and their subcellular dynamic information in depth. A single-cell behavior analysis platform should be able to generate activity profiles from selected cell behavior with high sample sizes for statistical evaluations, therefore providing high-resolution information regarding the weighing contributions of composed subcellular activities.…”

“…Hence, the CN profile is a statistical descriptor that analyzes the unique cell migration pattern of a specific cell type. This information can also be further extended to the underlying signaling pathways involved in each subcellular activity (Lan et al, 2018).…”

“…Greater CMPI values of a cell indicates faster motility over a long period of time. Our previous study had shown that the CN correlation analysis possesses excellent applicability and reliability for cell migration assessment (Lan et al, 2016;Lan et al, 2018), so we incorporated cell polarity into the CN correlation analysis to evaluate the persistence of mesenchymal cell migration. The consistency of the short-term CCD orientations with respect to the long-term cell displacement indicates that the probed cell possesses high polarity ( Fig.…”

“…Hence, in this study, we apply a robust cell migration assessment, the CN correlation analysis (Lan et al, 2016;Lan et al, 2018) to probe the phenotype spectrum (i.e., the alternation of cell morphologies and dynamics regarding the stages of the cell cycle). Rather than utilizing traditional cell migration analysis techniques, which obligate a long period of cell trajectories (~10 hours) (Noever et al, 1994;Wu et al, 2009) and provides a dilemma where the duration of the sampled cell trajectories must be long enough for statistically meaningful analysis, yet short enough to have the trajectories restrained within the same stage of the cell cycle phases, the CN correlation analysis allows us to decipher the migratory phenotype of cells in each stages of the cell cycle and to clarify the impact of the two aforementioned CDKIs on cell dynamics, hence obtaining the comprehensive relationship between cell migration and the cell cycle.…”