What is it about?
This essay provides a concise description of the purpose of cellular reprogramming, its evolution, the mathematical models it uses, and applied methodologies. As examples, four areas in the biomedical field where cellular reprogramming can be applied with interesting perspectives are illustrated: diseases modeling, drug discovery, precision medicine, and regenerative medicine. Furthermore, the use of ordinary differential equations, Bayesian network, and Boolean network is described in these contexts. These strategies of mathematical modeling are the three main types that are applied in gene regulatory networks to analyze the dynamic interactions between their nodes. Ultimately, their application in disease research is discussed considering their benefits and limitations.
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Why is it important?
With cellular reprogramming, it is possible to convert a cell from one phenotype to another without necessarily passing through a pluripotent state. This perspective is opening many interesting fields in the world of research and biomedical applications.
Perspectives
Techniques of cellular reprogramming such as the identification of atractors in complex regulation networks are expected to help improving cancer therapeutics.
Nicolas Carels
Oswaldo Cruz Foundation
Read the Original
This page is a summary of: Cellular Reprogramming, January 2018, Springer Science + Business Media,
DOI: 10.1007/978-3-319-74974-7_3.
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