Analysis of TAp73-dependent signaling via omics technologies

Angelo D'Alessandro, Cristina Marrocco, Sara Rinalducci, Angelo Peschiaroli, Anna Maria Timperio, Lucilla Bongiorno-Borbone, Alessandro Finazzi Agrò, Gerry Melino, Lello Zolla

Research output: Contribution to journalArticlepeer-review


Transactivation-proficient (TA) p73 is a transcription factor belonging to the p53 family, which regulates a variety of biological processes, including neurogenesis, differentiation, apoptosis, and DNA damage checkpoint response. In the present study, we adopted multiple Omics approaches, based upon the simultaneous application of metabolomics, lipidomics, and proteomics, in order to dissect the intracellular pathways activated by p73. As cellular model, we utilized a clone of the human osteosarcoma SAOS-2 cell line that allows the expression of TAp73α in an inducible manner. We found that TAp73α promoted mitochondrial activity (accumulation of metabolic intermediates and up-regulation of proteins related to the Krebs cycle), boosted glutathione homeostasis, increased arginine-citrulline-NO metabolism, altered purine synthesis, and promoted the pentose phosphate pathway toward NADPH accumulation for reducing and biosynthetic purposes. Indeed, lipid metabolism was driven toward the accumulation and oxidation of long-chain fatty acids with pro-apoptotic potential. In parallel, the expression of TAp73α was accompanied by the dephosphorylation of key proteins of the mitotic spindle assembly checkpoint. In conclusion, the obtained results confirm existing evidence from transcriptomics analyses and suggest a role for TAp73α in the regulation of cellular metabolism, cell survival, and cell growth.

Original languageEnglish
Pages (from-to)4207-4220
Number of pages14
JournalJournal of Proteome Research
Issue number9
Publication statusPublished - Sep 6 2013


  • lipidomics
  • metabolomics
  • p73
  • proteomics

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)


Dive into the research topics of 'Analysis of TAp73-dependent signaling via omics technologies'. Together they form a unique fingerprint.

Cite this