Statistical model to analyze quantitative proteomics data obtained by 18O/16O labeling and linear ion trap mass spectrometry: application to the study of vascular endothelial growth factor-induced angiogenesis in endothelial cells.

@article{Jorge2009StatisticalMT,
  title={Statistical model to analyze quantitative proteomics data obtained by 18O/16O labeling and linear ion trap mass spectrometry: application to the study of vascular endothelial growth factor-induced angiogenesis in endothelial cells.},
  author={I. Mardones Jorge and Pedro J. Navarro and Pablo Mart{\'i}nez-Acedo and Estefan{\'i}a N{\'u}{\~n}ez and Horacio Alfonso Castilla Serrano and Arantzazu Alfranca and Juan Miguel Redondo and Jes{\'u}s V{\'a}zquez},
  journal={Molecular & cellular proteomics : MCP},
  year={2009},
  volume={8 5},
  pages={
          1130-49
        }
}
Statistical models for the analysis of protein expression changes by stable isotope labeling are still poorly developed, particularly for data obtained by 16O/18O labeling. Besides large scale test experiments to validate the null hypothesis are lacking. Although the study of mechanisms underlying biological actions promoted by vascular endothelial growth factor (VEGF) on endothelial cells is of considerable interest, quantitative proteomics studies on this subject are scarce and have been… CONTINUE READING
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