Observatorio de I+D+i UPM

Memorias de investigación
Other publications:
Uncovering new functions in biological data using Parenclitic Networks: Identification of key genes in plant abiotic responses
Research Areas
  • Functional biology,
  • Computational biology
We introduce a novel method to represent time independent scalar data sets as complex networks. Application of our method to investigate gene expression in the response to osmotic stress of Arabidopsis thaliana revealed that the most important genes for the stress response turned out to be the nodes with highest centrality in the reconstructed networks. To validate the obtained predictions we performed a target experiment in which the candidate genes were artificially induced and plant phenotypes verified under osmotic stress. The joint application of the network reconstruction method and of the in vivo experiments allowed identifying 15 previously unknown key genes, and provided models of their mutual relationships. This novel representation extends the use of graph theory to data sets hitherto considered outside of the realm of its application, vastly simplifying the characterization of their underlying structure.
Publication type
Comunicación en Congreso
  • Autor: Jesus Vicente Carbajosa (UPM)
  • Autor: Massimiliano Zanin Zanin (UPM)
  • Autor: Dennys Marcela Gomez Paez (UPM)
  • Autor: Stefano Boccaletti (UPM)
  • Autor: Joaquin Medina Alcazar (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Biotecnología - Biología Vegetal
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)