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The nuclei of differentiating cells exhibit several fundamental principles of self‐organization. They are composed of many dynamical units connected physically and functionally to each other—a complex network—and the different parts of the system are mutually adapted and produce a characteristic end state. A unique cell‐specific signature emerges over time from complex interactions among constituent elements that delineate coordinate gene expression and chromosome topology. Each element itself consists of many interacting components, all dynamical in nature. Self‐organizing systems can be simplified while retaining complex information using approaches that examine the relationship between elements, such as spatial relationships and transcriptional information. These relationships can be represented using well‐defined networks. We hypothesize that during the process of differentiation, networks within the cell nucleus rewire according to simple rules, from which a higher level of order emerges. Studying the interaction within and among networks provides a useful framework for investigating the complex organization and dynamic function of the nucleus.
reprogramming the network, Cell Nucleus, Medicine (General), QH301-705.5, Systems Biology, Cell Differentiation, Models, Theoretical, Chromosomes, cellular differentiation, R5-920, Gene Expression Regulation, networks, chromosomal organization, Animals, Humans, Gene Regulatory Networks, Biology (General), Perspectives, Signal Transduction
reprogramming the network, Cell Nucleus, Medicine (General), QH301-705.5, Systems Biology, Cell Differentiation, Models, Theoretical, Chromosomes, cellular differentiation, R5-920, Gene Expression Regulation, networks, chromosomal organization, Animals, Humans, Gene Regulatory Networks, Biology (General), Perspectives, Signal Transduction
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 18 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |