6533b7d1fe1ef96bd125c241

RESEARCH PRODUCT

p63 Isoforms Regulate Metabolism of Cancer Stem Cells

Andrea UrbaniMatilde TodaroClaudio CorteseDomenico CiavardelliDomenico CiavardelliSilvia VolpeAntonella De ColaDaniela D'agostinoGiorgio StassiClaudia RossiVincenzo De LaurenziMirco ZucchelliDaniela BarcaroliSimona D'aguannoCarmine Di Ilio

subject

Gene isoformProteomicsProteomeRegulatorBiologyProteomicsBiochemistryTransactivationCancer stem cellmedicineHumansMetabolomicsProtein IsoformsProtein Interaction MapsSettore BIO/10 - BIOCHIMICAp63 colon cancer stem cells proteomics stable isotope dimethyl labeling glucose metabolismSettore BIO/12Tumor Suppressor ProteinsCancerGeneral Chemistrymedicine.diseasePhenotypePeptide FragmentsCell biologyIsotope LabelingNeoplastic Stem CellsStem cellSignal TransductionTranscription Factors

description

p63 is an important regulator of epithelial development expressed in different variants containing (TA) or lacking (ΔN) the N-terminal transactivation domain. The different isoforms regulate stem-cell renewal and differentiation as well as cell senescence. Several studies indicate that p63 isoforms also play a role in cancer development; however, very little is known about the role played by p63 in regulating the cancer stem phenotype. Here we investigate the cellular signals regulated by TAp63 and ΔNp63 in a model of epithelial cancer stem cells. To this end, we used colon cancer stem cells, overexpressing either TAp63 or ΔNp63 isoforms, to carry out a proteomic study by chemical-labeling approach coupled to network analysis. Our results indicate that p63 is implicated in a wide range of biological processes, including metabolism. This was further investigated by a targeted strategy at both protein and metabolite levels. The overall data show that TAp63 overexpressing cells are more glycolytic-active than ΔNp63 cells, indicating that the two isoforms may regulate the key steps of glycolysis in an opposite manner. The mass-spectrometry proteomics data of the study have been deposited to the ProteomeXchange Consortium ( http://proteomecentral.proteomexchange.org ) via the PRIDE partner repository with data set identifiers PXD000769 and PXD000768.

10.1021/pr4012574http://hdl.handle.net/10807/79818