Accéder directement au contenu Accéder directement à la navigation
Article dans une revue

Gene network analysis leads to functional validation of pathways linked to cancer cell growth and survival.

Abstract : Hepatocellular carcinoma (HCC) represents one of the most frequently diagnosed human cancers; however, there are currently few treatment alternatives to surgical resection. In this study we performed bioinformatic analysis of previously published transcriptomic data in order to characterize liver specific networks, including biological functions, signaling pathways and transcription factors, potentially dysregulated in HCC. By incorporating specific signaling inhibitors into real-time proliferation assays using HepG2 cells, we then validated these in silico results. We found that G protein subunits Gi/G0, protein kinase C, Mek1/2, and Erk1/2 (P42/44), JAK1, PPARA and NFκB p65 subunit were the major signaling molecules required for survival and proliferation of human HCC cell lines. We also found that these pathways regulate the expression of key hepatic transcription factors involved in cell differentiation, such as CEBPA, EGR1, FOXM1 and PPARs. By combining bioinformatic and functional analyses, major signaling pathways related to tumorigenicity in HCC are revealed, thereby elucidating potential targets for drug therapies.
Type de document :
Article dans une revue
Liste complète des métadonnées

Littérature citée [50 références]  Voir  Masquer  Télécharger

https://www.hal.inserm.fr/inserm-00813081
Déposant : Evelyne Vericel <>
Soumis le : lundi 15 avril 2013 - 08:50:52
Dernière modification le : jeudi 1 octobre 2020 - 13:28:02
Archivage à long terme le : : mardi 16 juillet 2013 - 04:04:45

Fichier

berger.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Emmanuelle Berger, Nathalie Vega, Hubert Vidal, Alain Geloen. Gene network analysis leads to functional validation of pathways linked to cancer cell growth and survival.. Biotechnology Journal, Wiley-VCH Verlag, 2012, 7 (11), pp.1395-404. ⟨10.1002/biot.201200188⟩. ⟨inserm-00813081⟩

Partager

Métriques

Consultations de la notice

514

Téléchargements de fichiers

899