Combination of a discovery LC-MS/MS analysis and a label-free quantification for the characterization of an epithelial-mesenchymal transition signature

Abstract : Disease phenotype reorganizations are the consequences of signaling pathway perturbations and protein abundance modulations. Characterizing the protein signature of a biological event allows the identification of new candidate biomarkers, new targets for treatments and selective patient therapy. The combination of discovery LC-MS/MS analyses and targeted mass spectrometry using selected reaction monitoring (SRM) mode has emerged as a powerful technology for biomarker identification and quantification owing to faster development time and multiplexing capability. The epithelial mesenchymal transition (EMT) is a process that controls local invasion and metastasis generation by stimulating changes in adhesion and migration of cells but also in metabolic pathways. In this study, the non-transformed human breast epithelial cell line MCF10A, treated by TGF beta or overexpressing mutant K-Ras(v12), two EMT inducers frequently involved in cancer progression, was used to characterize protein abundance changes during an EMT event. The LC-MS/MS analysis and label-free quantification revealed that TGF beta and K-Ras(v12) induce a similar pattern of protein regulation and that besides the expected cytoskeletal changes, a strong increase in the anabolism and energy production machinery was observed. Biological Significance To our knowledge, this is the first proteomic analysis combining a label-free quantification with an SRM validation of proteins regulated by TGF beta and K-Ras(v12). This study reveals new insights in the characterization of the changes occurring during an epithelial-mesenchymal transition (EMT) event. Notably, a strong increase in the anabolism and energy production machinery was observed upon both EMT inducers.
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Journal of Proteomics, Elsevier, 2014, 110, pp.183-194. 〈10.1016/j.jprot.2014.05.026〉
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https://hal.archives-ouvertes.fr/hal-01230272
Contributeur : Agnès Bussy <>
Soumis le : mercredi 18 novembre 2015 - 10:58:44
Dernière modification le : jeudi 8 février 2018 - 11:10:27

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Jordane Biarc, Philippe Gonzalo, Ivan Mikaelian, Laurent Fattet, Mathieu Deygas, et al.. Combination of a discovery LC-MS/MS analysis and a label-free quantification for the characterization of an epithelial-mesenchymal transition signature. Journal of Proteomics, Elsevier, 2014, 110, pp.183-194. 〈10.1016/j.jprot.2014.05.026〉. 〈hal-01230272〉

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