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. This essay provides a concise description of the purpose of this technique, its evolution, mathematical models used, 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.
This study was supported by fellowships from CAPES to D.S. and from the Oswaldo Cruz Institute (https://pgbcs.ioc.fiocruz.br/) to A.C.
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