Modeling of genetic regulatory networks in the differentiation of neural crest stem cells to sensory neurons by means of boolean networks


  • Jorge Marcelo Aráus Patiño University of Los Andes
  • Helena Groot Restrepo University of Los Andes
  • Andrés Fernando González Barrios University of Los Andes



neural crest, GRN, Boolean network, nocioceptors, propioceptors


In the present study we have generated a GRN comprising the process by which neural crest stem cells develop to two types of sensory neurons (Propioceptors and Nocioceptors). We have also been able to find patterns of regulation (motifs) that act cooperatively to control such process. Surprisingly, these motifs take place in similar stages during the development of erythrocytes from hematopoietic stem cells. Regarding the complexity of the GRN found, we then used Random Boolean Networks (RBN) for this purpose, which showed key components as well as the dynamics of the process through changes in initial conditions. Finally, the motifs were reflected in the model, suggesting insights for further studies.

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Author Biographies

Jorge Marcelo Aráus Patiño, University of Los Andes

Product and Process Design Group (GDPP), Department of Chemical Engineering.

Helena Groot Restrepo, University of Los Andes

Laboratory of Human Genetics, Faculty of Sciences.

Andrés Fernando González Barrios, University of Los Andes

Product and Process Design Group (GDPP), Department of Chemical Engineering.


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How to Cite

Aráus Patiño, J. M., Groot Restrepo, H., & González Barrios, A. F. (2013). Modeling of genetic regulatory networks in the differentiation of neural crest stem cells to sensory neurons by means of boolean networks. Revista Facultad De Ingeniería Universidad De Antioquia, (58), 238–246.

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