A label-free proteome analysis strategy for identifying quantitative changes in erythrocyte membranes induced by red cell disorders

Journal of Proteomics

Volumn 76, Issue , 2012, Pages 194-202

  Pesciotta, Esther N ^a   Sriswasdi, Sira ^a,b   Tang, Hsin Yao ^b   Mason, Philip J ^a   Bessler, Monica ^a   Speicher, David W ^a,b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b WISTAR INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DODECYL SULFATE SODIUM; ERYTHROCYTE MEMBRANE PROTEIN; ERYTHROCYTE MEMBRANE PROTEIN 1; PROTEOME; UNCLASSIFIED DRUG;

ARTICLE; BLOOD SAMPLING; CONTROLLED STUDY; CROSS LINKING; ERYTHROCYTE MEMBRANE; FRACTIONATION; GEL; IN VIVO STUDY; IONIC STRENGTH; PRIORITY JOURNAL; PROTEIN DEGRADATION; PROTEOMICS; QUANTITATIVE ANALYSIS;

ERYTHROCYTE MEMBRANE; ERYTHROCYTES, ABNORMAL; FEMALE; HEMATOLOGIC DISEASES; HUMANS; MALE; MEMBRANE PROTEINS; PROTEOME; PROTEOMICS;

EID: 84869881180     PISSN: 18743919     EISSN: 18767737     Source Type: Journal    
DOI: 10.1016/j.jprot.2012.08.010     Document Type: Article

References (23)

1. Bosman G.J., Lasonder E., Luten M., Roerdinkholder-Stoelwinder B., Novotny V.M., Bos H., et al. The proteome of red cell membranes and vesicles during storage in blood bank conditions. Transfusion 2008, 48:827-835.
2. Low T.Y., Seow T.K., Chung M.C.M. Separation of human erythrocyte membrane associated proteins with one-dimensional and two-dimensional gel electrophoresis followed by identification with matrix-assisted laser desorption/ionization-time of flight mass spectrometry. Proteomics 2002, 2:1229-1239.
3. Kakhniashvili D.G., Bulla L.A., Goodman S.R. The human erythrocyte proteome - analysis by ion trap mass spectrometry. Mol Cell Proteomics 2004, 3:501-509.
4. De Palma A., Roveri A., Zaccarin M., Benazzi L., Daminelli S., Pantano G., et al. Extraction methods of red blood cell membrane proteins for Multidimensional Protein Identification Technology (MudPIT) analysis. J Chromatogr A 2010, 1217:5328-5336.
5. Peker S., Akar N., Demiralp D.O. Proteomic identification of erythrocyte membrane protein deficiency in hereditary spherocytosis. Mol Biol Rep 2012, 39:3161-3167.
6. Kakhniashvili D.G., Griko N.B., Bulla L.A., Goodman S.R. The proteomics of sickle cell disease: profiling of erythrocyte membrane proteins by 2D-DIGE and tandem mass spectrometry. Exp Biol Med (Maywood) 2005, 230:787-792.
7. D'Amici G.M., Rinalducci S., Zolla L. Proteomic analysis of RBC membrane protein degradation during blood storage. J Proteome Res 2007, 6:3242-3255.
8. Bruschi M., Seppi C., Arena S., Musante L., Santucci L., Balduini C., et al. Proteomic analysis of erythrocyte membranes by soft Immobiline gels combined with differential protein extraction. J Proteome Res 2005, 4:1304-1309.
9. Rabilloud T. Membrane proteins and proteomics: love is possible, but so difficult. Electrophoresis 2009, 30(Suppl. 1):S174-S180.
10. Pasini E.M., Kirkegaard M., Mortensen P., Lutz H.U., Thomas A.W., Mann M. In-depth analysis of the membrane and cytosolic proteome of red blood cells. Blood 2006, 108:791-801.
11. Paweletz C.P., Wiener M.C., Bondarenko A.Y., Yates N.A., Song Q.H., Liaw A., et al. Application of an end-to-end biomarker discovery platform to identify target engagement markers in cerebrospinal fluid by high resolution differential mass spectrometry. J Proteome Res 2010, 9:1392-1401.
12. Neubert H., Bonnert T.P., Rumpel K., Hunt B.T., Henle E.S., James I.T. Label-free detection of differential protein expression by LC/MALDI mass spectrometry. J Proteome Res 2008, 7:2270-2279.
13. Beer L.A., Tang H.Y., Sriswasdi S., Barnhart K.T., Speicher D.W. Systematic discovery of ectopic pregnancy serum biomarkers using 3-D protein profiling coupled with label-free quantitation. J Proteome Res 2011, 10:1126-1138.
14. Wang H., Chang-Wong T., Tang H.Y., Speicher D.W. Comparison of extensive protein fractionation and repetitive LC-MS/MS analyses on depth of analysis for complex proteomes. J Proteome Res 2010, 9:1032-1040.
15. Bennett V., Baines A.J. Spectrin and ankyrin-based pathways: metazoan inventions for integrating cells into tissues. Physiol Rev 2001, 81:1353-1392.
16. Steen H., Mann M. The ABC's (and XYZ's) of peptide sequencing. Nat Rev Mol Cell Biol 2004, 5:699-711.
17. Wooden J.M., Finney G.L., Rynes E., MacCoss M.J., Lambert A.J., Robledo R.F., et al. Comparative proteomics reveals deficiency of SLC9A1 (sodium/hydrogen exchanger NHE1) in beta-adducin null red cells. Br J Haematol 2011, 154:492-501.
18. Zelenak C., Foller M., Velic A., Krug K., Qadri S.M., Viollet B., et al. Proteome analysis of erythrocytes lacking AMP-activated protein kinase reveals a role of PAK2 kinase in eryptosis. J Proteome Res 2011, 10:1690-1697.
19. Haudek V.J., Slany A., Gundacker N.C., Wimmer H., Drach J., Gerner C. Proteome maps of the main human peripheral blood constituents. J Proteome Res 2009, 8:3834-3843.
20. Burton N.M., Bruce L.J. Modelling the structure of the red cell membrane. Biochem Cell Biol Biochim Biol Cell. 2011, 89:200-215.
21. van Gestel R.A., van Solinge W.W., van der Toorn H.W., Rijksen G., Heck A.J., van Wijk R., et al. Quantitative erythrocyte membrane proteome analysis with Blue-native/SDS PAGE. J Proteomics 2010, 73:456-465.
22. D'Alessandro A., Righetti P.G., Zolla L. The red blood cell proteome and interactome: an update. J Proteome Res 2010, 9:144-163.
23. Bordbar A., Jamshidi N., Palsson B.O. iAB-RBC-283: a proteomically derived knowledge-base of erythrocyte metabolism that can be used to simulate its physiological and patho-physiological states. BMC Syst Biol 2011, 5.