Reviews

1.	Gouw, J. W., Tops, B. B. and Krijgsveld, J. Metabolic labeling of model organisms using heavy nitrogen (15N). Methods in Molecular Biology. 2011. 753, 29-42. [PubMed]
2.	Schutz, W., Hausmann, N., Krug, K., Hampp, R. and Macek, B. Extending SILAC to proteomics of plant cell lines. The Plant Cell. 2011. 23, 1701-1705. [PubMed]
3.	Mortensen, P., Gouw, J. W., Olsen, J. V., Ong, S. E., Rigbolt, K. T., Bunkenborg, J., Cox, J., Foster, L. J., Heck, A. J., Blagoev, B., Andersen, J. S. and Mann, M. MSQuant, an open source platform for mass spectrometry-based quantitative proteomics. Journal of Proteome Research. 2010. 9, 393-403. [PubMed]
4.	Park, S. K. and Yates, J. R. Census for proteome quantification. Current Protocols in Bioinformatics / Editoral Board, Andreas D. Baxevanis ... [et Al.]. 2010. Chapter 13, Unit 13.12.1-11. [PubMed]
5.	Neubert, T. A. and Tempst, P. Super-SILAC for tumors and tissues. Nature Methods. 2010. 7, 361-362. [PubMed]
6.	Rigbolt, K. T. and Blagoev, B. Proteome-wide quantitation by SILAC. Methods in Molecular Biology. 2010. 658, 187-204. [PubMed]
7.	Dengjel, J., Jakobsen, L. and Andersen, J. S. Organelle proteomics by label-free and SILAC-based protein correlation profiling. Methods in Molecular Biology. 2010. 658, 255-265. [PubMed]
8.	Dengjel, J., Kratchmarova, I. and Blagoev, B. Mapping protein-protein interactions by quantitative proteomics. Methods in Molecular Biology. 2010. 658, 267-278. [PubMed]
9.	Brewis, I. A. and Brennan, P. Proteomics technologies for the global identification and quantification of proteins. Advances in Protein Chemistry and Structural Biology. 2010. 80, 1-44. [PubMed]
10.	Alex, P., Gucek, M. and Li, X. Applications of proteomics in the study of inflammatory bowel diseases: Current status and future directions with available technologies. Inflammatory Bowel Diseases. 2009. 15, 616-629. [PubMed]
11.	Foster L. J. Moving closer to the lipid raft proteome using quantitative proteomics. Methods in Molecular Biology. 2009. 528, 189-199. [PubMed]
12.	Zhang, G. and Neubert, T. A. Use of stable isotope labeling by amino acids in cell culture (SILAC) for phosphotyrosine protein identification and quantitation. Methods in Molecular Biology. 2009. 527, 79-171. [PubMed]
13.	Pimienta, G., Chaerkady, R. and Pandey, A. SILAC for global phosphoproteomic analysis. Methods in Molecular Biology. 2009. 527, 107-123. [PubMed]
14.	Bettmer, J., Montes, B., Encinar, J. R., Fernandez, S., Fernandez, d. e. and Sanz, M. The emerging role of ICP-MS in proteomic analysis. Journal of Proteomics. 2009. 72, 989-1005. [PubMed]
15.	Martyniuk, C. J. and Denslow, N. D. Towards functional genomics in fish using quantitative proteomics. General and Comparative Endocrinology. 2009. 164, 135-141. [PubMed]
16.	Asara, J. M., Christofk, H. R., Freimark, L. M. and Cantley, L. C. A label-free quantification method by MS/MS TIC compared to SILAC and spectral counting in a proteomics screen. Proteomics. 2008. 8, 994-999. [PubMed]
17.	Gruhler, S. and Kratchmarova, I. Stable isotope labeling by amino acids in cell culture (SILAC). Methods in Molecular Biology. 2008. 424, 101-111. [PubMed]
18.	Xu, X. E., Jiang, Y. H. and Shi, Q. [Tumor proteomics: the past, present and future]. Ai Zheng = Aizheng = Chinese Journal of Cancer. 2008. 27, 1009-1017. [PubMed]
19.	Cox, J. and Mann, M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nature Biotechnology. 2008. 26, 1367-1372. [PubMed]
20.	Ong, S. E. and Mann, M. Stable isotope labeling by amino acids in cell culture for quantitative proteomics. Methods in Molecular Biology. 2007. 359, 37-52. [PubMed]
21.	Sun, S., Lee, N. P., Poon, R. T., Fan, S. T., He, Q. Y., Lau, G. K. and Luk, J. M. Oncoproteomics of hepatocellular carcinoma: from cancer markers' discovery to functional pathways. Liver International : Official Journal of the International Association For the Study of the Liver. 2007. 27, 1021-1038. [PubMed]
22.	Zhong, J., Molina, H. and Pandey, A. Phosphoproteomics. Current Protocols in Protein Science / Editorial Board, John E. Coligan ... [et Al.]. 2007. Chapter 24, Unit 24.4. [PubMed]
23.	Chaerkady, R. and Pandey, A. Quantitative proteomics for identification of cancer biomarkers. Proteomics. Clinical Applications. 2007. 1, 1080-1089. [PubMed]
24.	Blagoev, B. and Mann, M. Quantitative proteomics to study mitogen-activated protein kinases. Methods. 2006. 40, 243-250. [PubMed]
25.	Mann M. Functional and quantitative proteomics using SILAC. Nature Reviews. Molecular Cell Biology. 2006. 7, 952-958. [PubMed]
26.	Gafken, P. R. and Lampe, P. D. Methodologies for characterizing phosphoproteins by mass spectrometry. Cell Communication & Adhesion. 2006. 13, 249-262. [PubMed]
27.	Ong, S. E. and Mann, M. Identifying and quantifying sites of protein methylation by heavy methyl SILAC. Current Protocols in Protein Science / Editorial Board, John E. Coligan ... [et Al.]. 2006. Chapter 14, Unit 14.9. [PubMed]
28.	Amanchy, R., Kalume, D. E. and Pandey, A. Stable isotope labeling with amino acids in cell culture (SILAC) for studying dynamics of protein abundance and posttranslational modifications. Science's STKE : Signal Transduction Knowledge Environment. 2005. 2005, pl2. [PubMed]
29.	Guillet, C., Boirie, Y. and Walrand, S. An integrative approach to in-vivo protein synthesis measurement: from whole tissue to specific proteins. Current Opinion in Clinical Nutrition and Metabolic Care. 2004. 7, 531-538. [PubMed]
30.	Ibarrola, N., Kalume, D. E., Gronborg, M., Iwahori, A. and Pandey, A. A proteomic approach for quantitation of phosphorylation using stable isotope labeling in cell culture. Analytical Chemistry. 2003. 75, 6043-6049. [PubMed]