If this is true, an excess of eIF6 may increase recycling, perhaps making more ribosomes available for the translation of certain mRNAs. a quantitative proteomic analysis of membrane-associated proteins in A2780 ovarian malignancy cells over-expressing eIF6. Differentially expressed proteins upon eIF6 overproduction were further investigated by Ingenuity Pathway Analysis (IPA). RT-qPCR and Western blot were performed in order to validate the proteomic data. Furthermore, the effects of a potent and selective inhibitor ML-141 in A2780 cells were evaluated using transwell migration assay. Finally, we explored the effects of eIF6 over-expression on WM793 main melanoma cell lines. Results We exhibited that: (i) the genes up-regulated upon eIF6 overproduction mapped to a functional network corresponding to cellular movements in a highly significant way; (ii) cdc42 plays a pivotal role as an effector of enhanced migratory phenotype induced upon eIF6 over-expression; (iii) the variations in abundance observed for cdc42 protein occur at a post-transcriptional level; (iv) the increased cell migration/invasion upon eIF6 over-expression was generalizable to other cell line models. Conclusions Collectively, our data confirm and further extend the role of eIF6 in enhancing cell migration/invasion. We show that a quantity of membrane-associated proteins indeed vary in abundance upon eIF6 over-expression, and that the up-regulated proteins can be located within a functional network controlling cell motility and tumor metastasis. Full understanding of the role eIF6 plays in the metastatic process is Mouse monoclonal to CD3.4AT3 reacts with CD3, a 20-26 kDa molecule, which is expressed on all mature T lymphocytes (approximately 60-80% of normal human peripheral blood lymphocytes), NK-T cells and some thymocytes. CD3 associated with the T-cell receptor a/b or g/d dimer also plays a role in T-cell activation and signal transduction during antigen recognition important, also in view of the fact that this factor is a potentially druggable target to be exploited for new anti-cancer therapies. Electronic supplementary material The online version of this article (doi:10.1186/s12885-015-1106-3) contains supplementary material, which is available to authorized users. and by Ingenuity Pathway Analysis (IPA) Digoxigenin (Ingenuity Systems, Mountain View, CA; http://www.ingenuity.com). In particular, the web-based pathways analysis tool IPA allowed us to determine if proteins that changed Digoxigenin in abundance could be mapped to specific functional networks that may be common to cell migration. Table?1 shows that the enrichment results from the protein data set descends from an over-representation of genes related to high-level ontology database annotations of cell movement and migration of tumor cell lines (p-value of 4.49E-02 and 4.65E-02, respectively). In light of Digoxigenin this, it is conceivable that this up-regulated proteins (i.e.: AGK, C1QBP, CDC42, HAX1, HGF, SDC1 and YBX1), involved in these biological functions, may be candidates as effectors of the eIF6-induced increased migration. Table 1 Biofunctional analysis by ingenuity pathway analysis protein synthesis was blocked 24?h later with the translation inhibitor. Previous studies showed that this half-life of cdc42 was approximately 15?h . For this reason, we extended the treatment of cells with CHX for the next 24?h after transfection. The results showed a turnover rate of cdc42 similar to the control (Physique?3C-D), suggesting that this increased expression of eIF6 does not induce a decreased protein turnover of cdc42 protein. Successively, in order to demonstrate that eIF6 overexpression influences translation of cdc42 mRNA, we measured the recruitment of cdc42 mRNA on polysomes by qRTCPCR. Indeed, as shown in Physique?4 eIF6 overexpression increased polysome loading of cdc42 mRNA with respect the total amount of rRNA, thereby suggesting that eIF6 impacts primarily on cdc42 translation. Open in a separate window Physique 4 eIF6 over-expression increased polysome loading of cdc42 mRNA. The polysomal profiles of A2780/eIF6 and control cells were analysed by density gradient centrifugation. The sucrose gradient fractions were pooled together on the basis of the presence/absence of ribosomes, detected by ethidium bromide staining on agarose gels (upper panel). The total RNA of each polyribosomal portion was extracted. Successively, cdc42 mRNA was measured in both fractions by RT-qPCR (bottom panel). The amount of cdc42 mRNA in the polysomal fractions was normalized using rRNA as the standard, while for ribosome-free fractions we used GAPDH mRNA levels. We also analysed GAPDH mRNA levels in the polysomal fractions normalizing with respect rRNA levels. The mean value is usually representative of three impartial experiments with a P-value 0.05 (**) and 0.01 (*) respectively, calculated with the translation [32,33]. em In vivo /em , variations in eIF6 large quantity do not seem.