Shotgun proteomic analysis to study the decrease of xenograft tumor growth after rosemary extract treatment
The antiproliferative activity of Rosemary (Rosmarinus officinalis) has been widely studied in different in vitro and in vivo models, which demonstrate that rosemary extracts inhibit the cellular proliferation due to its ability to interact with a wide spectrum of molecular targets. However, a compr...
Published in: | Journal of Chromatography A |
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Main Authors: | , , , , , , , , |
Other Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Elsevier
2017
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Subjects: | |
Online Access: | http://hdl.handle.net/10261/194213 https://doi.org/10.1016/j.chroma.2017.03.072 https://doi.org/10.13039/501100004587 https://doi.org/10.13039/501100003329 https://doi.org/10.13039/501100003359 https://doi.org/10.13039/100012818 |
Summary: | The antiproliferative activity of Rosemary (Rosmarinus officinalis) has been widely studied in different in vitro and in vivo models, which demonstrate that rosemary extracts inhibit the cellular proliferation due to its ability to interact with a wide spectrum of molecular targets. However, a comprehensive proteomics study in vivo has not been carried out yet. In the present work, the effects of rosemary extract on xenograft tumor growth has been studied and, for the first time, a shotgun proteomic analysis based on nano-LC-MS/MS together with stable isotope dimethyl labeling (DML) has been applied to investigate the global protein changes in vivo. Our results show that the daily administration of a polyphenol-enriched rosemary extract reduces the progression of colorectal cancer in vivo with the subsequent deregulation of 74 proteins. The bioinformatic analysis of these proteins indicates that the rosemary extract mainly alters the RNA Post-Transcriptional Modification, the Protein Synthesis and the Amino Acid Metabolism functions and suggests the inactivation of the oncogene MYC. These results demonstrate the high utility of the proposed analytical methodology to determine, simultaneously, the expression levels of a large number of protein biomarkers and to generate new hypothesis about the molecular mechanisms of this extract in vivo. This work was supported by projects AGL2014-53609-P and AGL2015-67995-C3-1-R (Ministerio de Economía y Competitividad, Spain), S2013/ABI-2728 (Comunidad de Madrid), PROMETEO/2016/006 (Generalitat Valenciana) and CIBER (CB12/03/30038, Fisiopatologia de la Obesidad y la Nutrición, CIBERobn, Instituto de Salud Carlos III). A.V. thanks the Ministerio de Economía y Competitividad for his FPI pre-doctoral fellowship (BES-2012-057014). The Swedish Research Council (Vetenskapsrådet), 2011-4423 and 2015-4870 to J.B. is acknowledged for financial support. Peer reviewed |
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