This bottom-up approach could be used to build other artificial organelles, such as the endoplasmic reticulum or a nucleus-like system, and could be the first step towards artificial cell-like systems that can mimic the complex behaviors of biological cells.
Tracking of biological cells is necessary to improve the understanding of their growth and behavior.
A latent behavior of a biological cell is complex.
Atomic force microscopy (AFM), initially developed as a topographical imaging modality, has become an important tool for investigating the mechanical properties and dynamic behavior of biological molecules, materials, cells, and tissues [1].
Considering that optical phase delay may occur when light traverses through cells, phase microscopy, especially quantitative phase microscopy (QPM), as a noninvasive and nondestructive tool for imaging phase objects, plays an important role in the structure analysis, identification, and dynamic behavior analysis of the biological cells [ 3].
The quantification of metabolic fluxes is gaining increasing importance in the analysis of the metabolic behavior of biological systems such as organisms, tissues or cells.
In general, the functional behavior of cell biological systems are modeled in terms of cellular automata (CA) as in [19 22].
A series of recent experiments show that microRNAs may play crucial roles in modulating periodic behaviors of biological systems, such as cell cycle and circadian rhythm [ 12– 12].
The mechanism based on the relationship between the film characteristics and biological behavior of endothelial cells (ECs) is discussed.
Therefore, we speculated that mono-ADP-ribosylated modification on H3R117 definitely did some contribution to alter chromatin microenvironment of some specific genes and induced subsequently influence malignant biological behavior of cancer cells.
