Application of proteomics in cardiovascular research

Current Proteomics

Volumn 7, Issue 2, 2010, Pages 108-115

  Dekkers, Dick H W ^a,b   Bezstarosti, Karel ^a,b   Kuster, Diederik ^a,b   Verhoeven, Adrie J M ^a,b   Das, Dipak K ^a,b  

^a ERASMUS UNIVERSITY ROTTERDAM   (Netherlands)

^b UNIVERSITY OF CONNECTICUT SCHOOL OF MEDICINE   (United States)

Author keywords

Cardiovascular; Heart; Phosphorylated proteins; Protein expression; Proteomics

Indexed keywords

EID: 77954701460     PISSN: 15701646     EISSN: None     Source Type: Journal    
DOI: 10.2174/157016410791330534     Document Type: Article

References (25)

1. Aebersold, R. and Mann, M. Mass spectrometry-based proteomics. Nature, 2003, 422, 198-207.
2. Anderson, N.L. and Anderson, N.G. The human plasma proteome: history, character, and diagonistic prospects. Mol. Cell Proteomics, 2002, 11, 845-867.
3. Ping, P.; Zhang, J.; Pierce, W.M. and Bolli, R. Functional proteomic analysis of protein kinase C {epsilon} signaling complexes in the normal heart and during cardioprotection. Circ. Res., 2001, 88, 59-64.
4. Bugger, H.; Chen, D.; Riehle, C.; Soto, J.; Theobald, H.A.; Hu, X.X.; Ganesan, B.; Weimer, B.C. and Abel, E.D. Tissue-specific remodeling of the mitochondrial proteome in Type 1 diabetic Akita mice. Diabetes, 2009, 58, 1986-1997.
5. Grant, J.E.; Brashaw, A.D.; Schwacke, J.H.; Balcu, C.F.; Zile, M.R. and Schey, K.L. Quantification of protein expression changes in the aging left ventricle of Rattus norvegicus. J. Proteome Res., 2009, 8, 4252-4263.
6. Jeon, H.B.; Choi, E.S.; Yoon, J.H.; Hwang, J.H.; Chang, J.W.; Lee, E.K.; Choi, H.W.; Park, Z.Y. and Yoo, Y.J. A proteomics approach to identify the ubiquitinated proteins in mouse heart. Biochem. Biophys. Res. Commun., 2007, 357, 731-736.
7. Agnetti, G.; Bezstarosti, K.; Dekkers, D.H.W.; Verhoeven, A.J.M.; Giordano, E.; Guarnieri, C.; Caldarera, C.M.; van Eyk, J.E. and Lamers, J.M.J. Proteomic profiling of endothelin-1-stimulated hypertrophic cardiomyocytes reveals the increase of four different desmin species and -B-crystallin. Biochim. Biophys. Acta, 2008, 1784, 1068-1076.
8. Kislinger, T.; Gramolini, A.O.; MacLennan, D.H. and Emili, A. Multidimensional protein identification technology (MudPIT): Technical overview of a profiling method optimized for the comprehensive proteomic investigation of normal and diseased heart tissue. J. Am. Soc. Mass Spectrom., 2005, 16, 1207-1220.
9. Kislinger, T.; Cox, B.; Kannan, A.; Chung, C.; Hu, P.; Ignatchenko, A.; Scott, M.S.; Gramolini, A.O.; Morris, Q.; Hallett, M.T.; Rossant, J.; Hughes, T.R.; Frey, B. and Emili, A. Global survey of organ and organelle protein expression in mouse: combined proteomic and transcriptomic profiling. Cell, 2006, 125, 173-186.
10. Faber, M.J.; Dalinghaus, M.; Lankhuizen, I.M.; Bezstarosti, K.; Dekkers, D.H.W.; Duncker, D.J.; Helbing, W.A. and Lamers, J.M.J. Proteomic changes in the pressure overloaded right ventricle after 6 weeks in young rats: correlations with the degree of hypertrophy. Proteomics, 2005, 5, 2519-2530.
11. Bezstarosti, K.; Das, S.; Lamers, J.M.J. and Das, D.K. Differential proteomic profiling to study the mechanism of cardiac pharmacological preconditioning by resveratrol. J. Cell. Mol. Med., 2006, 10, 896-907.
12. Gingras, A.C.; Gstaiger, M.; Raught, B. and Aebersold, R. Analysis of protein complexes using mass spectrometry. Nat. Rev. Mol. Cell Biol., 2007, 8, 645-654.
13. Ping, P.; Zhang, J.; Pierce Jr., W.M. and Bolli, R. Functional proteomic analysis of protein kinase signaling complexes in the normal heart and during cardioprotection. Circ. Res., 2001, 88, 59-62.
14. Faber, M.J.; Dalinghaus, M.; Lankhuizen, I.M.; Bezstarosti, K.; Verhoeven, A.J.M.; Duncker, D.J.; Helbing, W.A. and Lamers, J.M.J. Time dependent changes in cytoplasmic proteins of the right ventricle during prolonged pressure overload. J. Mol. Cell. Cardiol., 2007, 43, 197-209.
15. Lilley, K. and Friedman, D.B. All about DIGE: quantification technology for differential-display 2D-gel proteomics. Expert Rev. Proteomics, 2004, 1, 401-409.
16. Dekkers, D.H.W.; Bezstarosti, K.; Gurusamy, N.; Luijk, K.; Verhoeven, A.J.M.; Rijkers, E.J.; Demmers, J.A.; Lamers, J.M.J. and Das, D.K. Identification by a differential proteomic approach of the induced stress and redox proteins by resveratrol in the normal and diabetic rat hearts. J. Cell. Mol. Med., 2008, 12: 1677-1689.
17. Domon, B. and Aebersold, R. Mass spectrometry and protein analysis. Science, 2006, 312, 212-217.
18. Heck, A.J.R. and Krijgsveld, J. Mass spectrometry-based quantitative proteomics. Expert Rev. Proteomics, 2004, 1, 317-326.
19. Eaton, P. Protein thiol oxidation in health and disease: techniques for measuring disulfides and related modifications in complex protein mixtures. Free Radic. Biol. Med., 2006, 40, 1889-1899.
20. Wu, W.W.; Wang, G.; Baek, S.J. and Shen, R.F. Comparative study of three proteomic quantitative methods, DIGE, cICAT, and iTRAQ, using 2D Gel or LC-MALDI TOF/TOF. J. Proteome Res., 2006, 5, 651-658.
21. Witze, E.S.; Old, W.M.P.; Resing, K.A. and Ahn, N.G. Mapping protein post-translational modifications with mass spectrometry. Nat. Methods, 2007, 4, 798-806.
22. Nesvizhskitt, A.I. and Aebersold, R. Interpretation of shotgun data. Mol. Cell Proteomics, 2005, 4, 1419-1440.
23. Bennett, K.P.; Bergeron, C.; Acar, E.; Klees, R.F.; Vandenberg, S.L.; Yener, B. and Plopper, G.E. Proteomics reveals multiple routes to the osteogenic phenotype in mesenchymal stem cells. BMC Genomics, 2007, 8, 380-388.
24. Colinge, J.; Masselot, A.; Giron, M.; Dessingy, T. and Magnin, J. OLAV towards high-throughput anem mass spectrometry data identification. Proteomics, 2003, 3, 1454-1463.
25. Futcher, B.; Latter, G.I.; Monardo, P.; McLaughlin, C.S. and Garrels, J.I. Mol. Cell. Biol., 1999, 19, 7357-7368.