110 related articles for article (PubMed ID: 16888764)
1. Toward a comprehensive quantitative proteome database: protein expression map of lymphoid neoplasms by 2-D DIGE and MS.
Fujii K; Kondo T; Yamada M; Iwatsuki K; Hirohashi S
Proteomics; 2006 Sep; 6(17):4856-76. PubMed ID: 16888764
[TBL] [Abstract][Full Text] [Related]
2. Protein expression pattern distinguishes different lymphoid neoplasms.
Fujii K; Kondo T; Yokoo H; Yamada T; Matsuno Y; Iwatsuki K; Hirohashi S
Proteomics; 2005 Nov; 5(16):4274-86. PubMed ID: 16206328
[TBL] [Abstract][Full Text] [Related]
3. Database of two-dimensional polyacrylamide gel electrophoresis of proteins labeled with CyDye DIGE Fluor saturation dye.
Fujii K; Kondo T; Yokoo H; Okano T; Yamada M; Yamada T; Iwatsuki K; Hirohashi S
Proteomics; 2006 Mar; 6(5):1640-53. PubMed ID: 16429455
[TBL] [Abstract][Full Text] [Related]
4. Mining the human proteome: experience with the human lymphoid protein database.
Hanash SM; Teichroew D
Electrophoresis; 1998 Aug; 19(11):2004-9. PubMed ID: 9740061
[TBL] [Abstract][Full Text] [Related]
5. Proteomic signature of human cancer cells.
Seike M; Kondo T; Fujii K; Yamada T; Gemma A; Kudoh S; Hirohashi S
Proteomics; 2004 Sep; 4(9):2776-88. PubMed ID: 15352251
[TBL] [Abstract][Full Text] [Related]
6. Quantitative analysis of cellular proteome alterations in human influenza A virus-infected mammalian cell lines.
Vester D; Rapp E; Gade D; Genzel Y; Reichl U
Proteomics; 2009 Jun; 9(12):3316-27. PubMed ID: 19504497
[TBL] [Abstract][Full Text] [Related]
7. Global proteome profiling of NPM/ALK-positive anaplastic large cell lymphoma.
Sjostrom C; Seiler C; Crockett DK; Tripp SR; Elenitoba Johnson KS; Lim MS
Exp Hematol; 2007 Aug; 35(8):1240-8. PubMed ID: 17560012
[TBL] [Abstract][Full Text] [Related]
8. Analysis of the HUPO Brain Proteome reference samples using 2-D DIGE and 2-D LC-MS/MS.
Fröhlich T; Helmstetter D; Zobawa M; Crecelius AC; Arzberger T; Kretzschmar HA; Arnold GJ
Proteomics; 2006 Sep; 6(18):4950-66. PubMed ID: 16927427
[TBL] [Abstract][Full Text] [Related]
9. Comparative proteome analysis of three mouse lung adenocarcinoma CMT cell lines with different metastatic potential by two-dimensional gel electrophoresis and mass spectrometry.
Zhang K; Wrzesinski K; Stephen JF; Larsen PM; Zhang X; Roepstorff P
Proteomics; 2008 Dec; 8(23-24):4932-45. PubMed ID: 19003861
[TBL] [Abstract][Full Text] [Related]
10. Cancer proteome-expression database: Genome Medicine Database of Japan Proteomics.
Kondo T
Expert Rev Proteomics; 2010 Feb; 7(1):21-7. PubMed ID: 20121473
[TBL] [Abstract][Full Text] [Related]
11. Proteomic analysis of doxorubicin-induced changes in the proteome of HepG2cells combining 2-D DIGE and LC-MS/MS approaches.
Hammer E; Bien S; Salazar MG; Steil L; Scharf C; Hildebrandt P; Schroeder HW; Kroemer HK; Völker U; Ritter CA
Proteomics; 2010 Jan; 10(1):99-114. PubMed ID: 20017144
[TBL] [Abstract][Full Text] [Related]
12. Proteome- and microarray-based expression analysis of lymphoma cell lines identifies a p53-centered cluster of differentially expressed proteins in mantle cell and follicular lymphoma.
Weinkauf M; Christopeit M; Hiddemann W; Dreyling M
Electrophoresis; 2007 Dec; 28(23):4416-26. PubMed ID: 17990259
[TBL] [Abstract][Full Text] [Related]
13. A reference map of human nasopharyngeal squamous carcinoma proteome.
Li F; Xiao Z; Zhang P; Li J; Li M; Feng X; Guan Y; Chen Z
Int J Oncol; 2007 May; 30(5):1077-88. PubMed ID: 17390009
[TBL] [Abstract][Full Text] [Related]
14. 2-D DIGE analyses of enriched secretory lysosomes reveal heterogeneous profiles of functionally relevant proteins in leukemic and activated human NK cells.
Schmidt H; Gelhaus C; Nebendahl M; Lettau M; Watzl C; Kabelitz D; Leippe M; Janssen O
Proteomics; 2008 Jul; 8(14):2911-25. PubMed ID: 18655029
[TBL] [Abstract][Full Text] [Related]
15. Proteomic profiling of human retinal and choroidal endothelial cells reveals molecular heterogeneity related to tissue of origin.
Zamora DO; Riviere M; Choi D; Pan Y; Planck SR; Rosenbaum JT; David LL; Smith JR
Mol Vis; 2007 Oct; 13():2058-65. PubMed ID: 18079679
[TBL] [Abstract][Full Text] [Related]
16. Introducing the CPL/MUW proteome database: interpretation of human liver and liver cancer proteome profiles by referring to isolated primary cells.
Wimmer H; Gundacker NC; Griss J; Haudek VJ; Stättner S; Mohr T; Zwickl H; Paulitschke V; Baron DM; Trittner W; Kubicek M; Bayer E; Slany A; Gerner C
Electrophoresis; 2009 Jun; 30(12):2076-89. PubMed ID: 19582709
[TBL] [Abstract][Full Text] [Related]
17. Multivariate statistical tools applied to the characterization of the proteomic profiles of two human lymphoma cell lines by two-dimensional gel electrophoresis.
Marengo E; Robotti E; Bobba M; Liparota MC; Rustichelli C; Zamò A; Chilosi M; Righetti PG
Electrophoresis; 2006 Feb; 27(2):484-94. PubMed ID: 16372308
[TBL] [Abstract][Full Text] [Related]
18. Quantitative proteome analysis of breast cancer cell lines using 18O-labeling and an accurate mass and time tag strategy.
Patwardhan AJ; Strittmatter EF; Camp DG; Smith RD; Pallavicini MG
Proteomics; 2006 May; 6(9):2903-15. PubMed ID: 16596714
[TBL] [Abstract][Full Text] [Related]
19. Proteomics strategy based on liquid-phase IEF and 2-D DIGE: application to bone marrow mesenchymal progenitor cells.
Seshi B
Proteomics; 2007 Jun; 7(12):1984-99. PubMed ID: 17516591
[TBL] [Abstract][Full Text] [Related]
20. Functional clustering of metastasis proteins describes plastic adaptation resources of breast-cancer cells to new microenvironments.
Martín B; Sanz R; Aragüés R; Oliva B; Sierra A
J Proteome Res; 2008 Aug; 7(8):3242-53. PubMed ID: 18582095
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]