Abstract
The proteome is a dynamic entity, constantly changing both in levels of protein expression as well as in posttranslational modification and localization, all of which are hidden in the static DNA code. The repertoire of techniques and associated instrumentation which is now being applied to proteomics experiments is expanding exponentially, and although a complete visualization of the proteome is still beyond reach of any single technique, several technology platforms exist that can provide complementary datasets. Proteomics in the clinical setting is also developing, providing a major impact on the way in which diseases will be diagnosed, treated and monitored (1).
In particular, approaches involving two-dimensional (2-D) gel electro-phoresis (2-DE) separations and subsequent protein identification using mass spectrometry (MS) have been useful for imaging thousands of intact proteins (including modified/proteolyzed forms) in a single run, but quantification has been challenging, particularly over a large sample set. Difference gel electro-phoresis (DIGE) has proven to be a powerful quantitative technology for differential-expression proteomics on a global level, where the individual abundance changes for thousands of intact proteins can be simultaneously monitored in replicate samples over multiple variables with statistical confidence (see Note 1). This includes quantitative information on protein isoforms that arise due to a charged post translational modification that results in a change in the isoelectric point of the protein (such as acetylation or phosphorylation), and splice variants or protein processing events, all of which can be resolved for individual quantification and subsequent analysis by mass spectrometry.
References
Petricoin, E., Wulfkuhle, J., Espina, V., and Liotta, L. A. (2004) Clinical proteom-ics: revolutionizing disease detection and patient tailoring therapy. J. Proteome Res. 3, 209–217.
Gorg, A., Obermaier, C., Boguth, G., Harder, A., Scheibe, B., Wildgruber, R., and Weiss, W. (2000) The current state of two-dimensional electrophoresis with immobilized pH gradients. Electrophoresis 21, 1037–1053.
Gorg, A., Postel, W., Domscheit, A., and Gunther, S.) 1988) Two-dimensional electrophoresis with immobilized pH gradients of leaf proteins from barley (Hordeum vulgare): method, reproducibility and genetic aspects. Electrophoresis 9, 681–692.
Tonge, R., Shaw, J., Middleton, B., Rowlinson, R., Rayner, S., Young, J., Pognan, F., Hawkins, E., Currie, I., and Davison, M. (2001) Validation and development of fluorescence two-dimensional differential gel electrophoresis proteomics technology. Proteomics 1, 377–396.
Friedman, D. B., Wang, S. E., Whitwell, C. W., Caprioli, R. M., and Arteaga, C. L. (2007) Multi-variable Difference Gel Electrophoresis and Mass Spectrometry: A Case Study on TGF-beta and ErbB2 signaling. Mol. Cell Proteomics 6, 150–169.
Wolters, D. A., Washburn, M., and Yates, J. R. 3rd. (2001) An automated multidimensional protein identification technology for shotgun proteomics. Anal. Chem. 73, 5683–5690.
Alban, A., David, S. O., Bjorkesten, L., Andersson, C., Sloge, E., Lewis, S., and Currie, I. (2003) A novel experimental design for comparative two-dimensional gel analysis: Two-dimensional difference gel electrophoresis incorporating a pooled internal standard. Proteomics 3, 36–44.
Friedman, D. B., Hill, S., Keller, J. W., Merchant, N. B., Levy, S. E., Coffey, R. J., and Caprioli, R. M. (2004) Proteome analysis of human colon cancer by two-dimensional difference gel electrophoresis and mass spectrometry. Proteomics 4, 793–811.
Gerbasi, V. R., Weaver, C. M., Hill, S., Friedman, D. B. and Link, A. J. (2004) Yeast Asc1p and Mammalian RACK1 Are Functionally Orthologous Core 40S Ribosomal Proteins That Repress Gene Expression. Mol. Cell Biol. 24, 8276–8287.
Sitek, B., Luttges, J., Marcus, K., Kloppel, G., Schmiegel, W., Meyer, H. E., Hahn, S. A., and Stuhler, K. (2005) Application of fluorescence difference gel electrophoresis saturation labelling for the analysis of microdissected precursor lesions of pancreatic ductal adenocarcinoma. Proteomics 5, 2665–2679.
Hu, Y., Malone, J. P., Fagan, A. M., Townsend, R. R., and Holtzman, D. M. (2005) Comparative proteomic analysis of intra- and interindividual variation in human cerebrospinal fluid. Mol. Cell Proteomics 4. 2000–2009. Epub 2005 Sep 30.
Zhang, X., Guo, Y., Song, Y., Sun, W., Yu, C., Zhao, X., Wang, H., Jiang, H., Li, Y., Qian, X., Jiang, Y., and He, F. (2006) Proteomic analysis of individual variation in normal livers of human beings using difference gel electrophoresis. Proteomics 6, 5260–5268.
Karp, N. A., Spencer, M., Lindsay, H., O’Dell, K., and Lilley, K. S. (2005) Impact of replicate types on proteomic expression analysis. J. Proteome Res. 4, 1867–1871.
Meunier, B., Dumas, E., Piec, I., Bechet, D., Hebraud, M.,and Hocquette, J. F. (2007) Assessment of Hierarchical Clustering Methodologies for Proteomic Data Mining. J. Proteome Res. 6, 358–366.
Fodor, I. K., Nelson, D. O., Alegria-Hartman, M., Robbins, K., Langlois, R. G., Turteltaub, K. W., Corzett, T. H., and McCutchen-Maloney, S. L. (2005) Statistical challenges in the analysis of two-dimensional difference gel electrophoresis experiments using DeCyder. Bioinformatics 21, 3733–3740. Epub 2005 Aug 9.
Karp, N., Kreil, D., and Lilley, K. (2004) Determining a significant change in protein expression with DeCyderTM during a pair-wise comparison using twodimensional difference gel electrophoresis. Proteomics 4: In press.
Kreil, D., Karp, N., and Lilley, K. (2004) DNA microarray normalization methods can remove bias from differental protein expression analysis of 2-D difference gel eelectrophoresis results. Bioinformatics In press.
Friedman, D. B., Stauff, D. L., Pishchany, G., Whitwell, C. W., Torres, V. J., and Skaar, E. P. (2006) Staphylococcus aureus Redirects Central Metabolism to Increase Iron Availability. PLoS Pathogens 2, e87.
Fujii, K., Kondo, T., Yamada, M., Iwatsuki, K., and Hirohashi, S. (2006) Toward a comprehensive quantitative proteome database: protein expression map of lymphoid neoplasms by 2-D DIGE and MS. Proteomics 3, 3.
Fujii, K., Kondo, T., Yokoo, H., Yamada, T., Matsuno, Y., Iwatsuki, K., and Hirohashi, S. (2005) Protein expression pattern distinguishes different lymphoid neoplasms. Proteomics 5, 4274–4286.
Karp, N. A., Griffin, J. L., and Lilley, K. S. (2005) Application of partial least squares discriminant analysis to two-dimensional difference gel studies in expression proteomics. Proteomics 5, 81–90.
Seike, M., Kondo, T., Fujii, K., Yamada, T., Gemma, A., Kudoh, S., and Hirohashi, S. (2004) Proteomic signature of human cancer cells. Proteomics 4, 2776–2788.
Suehara, Y., Kondo, T., Fujii, K., Hasegawa, T., Kawai, A., Seki, K., Beppu, Y., Nishimura, T., Kurosawa, H., and Hirohashi, S. (2006) Proteomic signatures corresponding to histological classification and grading of soft-tissue sarcomas. Proteomics 6, 4402–4409.
Hatakeyama, H., Kondo, T., Fujii, K., Nakanishi, Y., Kato, H., Fukuda, S., and Hirohashi, S. (2006) Protein clusters associated with carcinogenesis, histological differentiation and nodal metastasis in esophageal cancer. Proteomics 6, 6300–6316.
Verhoeckx, K. C., Gaspari, M., Bijlsma, S., van der Greef, J., Witkamp, R. F., Doornbos, R., and Rodenburg, R. J. (2005) In search of secreted protein biomarkers for the anti-inflammatory effect of beta2-adrenergic receptor agonists: application of DIGE technology in combination with multivariate and univariate data analysis tools. J. Proteome Res. 4, 2015–2023.
Reddy, A. B., Karp, N. A., Maywood, E. S., Sage, E. A., Deery, M., O’Neill, J. S., Wong, G. K., Chesham, J., Odell, M., Lilley, K. S., Kyriacou, C., and Hastings, M. H. (2006) Circadian orchestration of the hepatic proteome. Curr. Biol. 16, 1107–1115.
Lee, I. N., Chen, C. H., Sheu, J. C., Lee, H. S., Huang, G. T., Yu, C. Y., Lu, F. J., and Chow, L. P. (2005) Identification of human hepatocellular carcinoma-related biomarkers by two-dimensional difference gel electrophoresis and mass spectrometry. J. Proteome Res. 4, 2062–2069.
Liang, C. R., Leow, C. K., Neo, J. C., Tan, G. S., Lo, S. L., Lim, J. W., Seow, T. K., Lai, P. B., and Chung, M. C. (2005) Proteome analysis of human hepatocellular carcinoma tissues by two-dimensional difference gel electrophoresis and mass spectrometry. Proteomics 5, 2258–2271.
Nabetani, T., Tabuse, Y., Tsugita, A., and Shoda, J. (2005) Proteomic analysis of livers of patients with primary hepatolithiasis. Proteomics 5, 1043–1061.
Huang, H. L., Stasyk, T., Morandell, S., Dieplinger, H., Falkensammer, G., Griesmacher, A., Mogg, M., Schreiber, M., Feuerstein, I., Huck, C. W., Stecher, G., Bonn, G. K., and Huber, L. A. (2006) Biomarker discovery in breast cancer serum using 2-D differential gel electrophoresis/ MALDI-TOF/TOF and data validation by routine clinical assays. Electrophoresis 27, 1641–1650.
Somiari, R. I., Sullivan, A., Russell, S., Somiari, S., Hu, H., Jordan, R., George, A., Katenhusen, R., Buchowiecka, A., Arciero, C., Brzeski, H., Hooke, J., and Shriver, C. (2003) High-throughput proteomic analysis of human infiltrating ductal carcinoma of the breast. Proteomics 3, 1863–1873.
Nishimori, T., Tomonaga, T., Matsushita, K., Oh-Ishi, M., Kodera, Y., Maeda, T., Nomura, F., Matsubara, H., Shimada, H., and Ochiai, T. (2006) Proteomic analysis of primary esophageal squamous cell carcinoma reveals downregulation of a cell adhesion protein, periplakin. Proteomics 6, 1011–1018.
Zhou, G., Li, H., DeCamp, D., Chen, S., Shu, H., Gong, Y., Flaig, M., Gillespie, J. W., Hu, N., Taylor, P.R., Emmert-Buck, M. R., Liotta, L. A., Petricoin, E. F., 3rd and Zhao, Y. (2002) 2-D differential in-gel electrophoresis for the identification of esophageal scans cell cancer-specific protein markers. Mol. Cell Proteomics 1, 117–124.
Yu, K. H., Rustgi, A. K., and Blair, I. A. (2005) Characterization of proteins in human pancreatic cancer serum using differential gel electrophoresis and tandem mass spectrometry. J. Proteome Res. 4, 1742–1751.
Wan, J., Sun, W., Li, X., Ying, W., Dai, J., Kuai, X., Wei, H., Gao, X., Zhu, Y., Jiang, Y., Qian, X., and He, F. (2006) Inflammation inhibitors were remarkably up-regulated in plasma of severe acute respiratory syndrome patients at progressive phase. Proteomics 6, 2886–2894.
Greengauz-Roberts, O., Stoppler, H., Nomura, S., Yamaguchi, H., Goldenring, J. R., Podolsky, R. H., Lee, J. R., and Dynan, W. S. (2005) Saturation labeling with cysteine-reactive cyanine fluorescent dyes provides increased sensitivity for protein expression profiling of laser-microdissected clinical specimens. Proteomics 5, 1746–1757.
Kondo, T., Seike, M., Mori, Y., Fujii, K., Yamada, T., and Hirohashi, S. (2003) Application of sensitive fluorescent dyes in linkage of laser microdissection and two-dimensional gel electrophoresis as a cancer proteomic study tool. Proteomics 3, 1758–1766.
Sitek, B., Potthoff, S., Schulenborg, T., Stegbauer, J., Vinke, T., Rump, L. C., Meyer, H. E., Vonend, O., and Stuhler, K. (2006) Novel approaches to analyse glomerular proteins from smallest scale murine and human samples using DIGE saturation labelling. Proteomics 3, 3.
Tetu, B., Lacasse, B., Bouchard, H.L., Lagace, R., Huot, J., and Landry, J. (1992) Prognostic influence of HSP-27 expression in malignant fibrous histiocytoma: a clinicopathological and immunohistochemical study. Cancer Res. 52, 2325–2328.
Wessel, D. and Flugge, U. I. (1984) A method for the quantitative recovery of protein in dilute solution in the presence of detergents and lipids. Anal. Biochem. 138, 141–143.
Karp, N. A. and Lilley, K. S. (2005) Maximising sensitivity for detecting changes in protein expression: experimental design using minimal CyDyes. Proteomics 5, 3105–3115.
Yokoo, H., Kondo, T., Fujii, K., Yamada, T., Todo, S., and Hirohashi, S. (2004) Proteomic signature corresponding to alpha fetoprotein expression in liver cancer cells. Hepatology 40, 609–617.
Wang, S. E., Narasanna, A., Whitell, C. W., Wu, F. Y., Friedman, D. B., and Arteaga, C. L. (2007) Convergence of P53 and TGFbeta signaling on activating expression of the tumor suppressor gene maspin in mammary epithelial cells. J. Biol. Chem. 4, 4.
Gygi, S. P., Rist, B., Gerber, S. A., Turecek, F., Gelb, M. H., and Aebersold, R. (1999) Quantitative analysis of complex protein mixtures using isotope-coded affinity tags. Nat. Biotechnol. 17, 994–999.
Mason, D. E. and Liebler, D. C. (2003) Quantitative analysis of modified proteins by LC-MS/MS of peptides labeled with phenyl isocyanate. J. Proteome Res. 2, 265–272.
Ross, P. L., Huang, Y. N., Marchese, J. N., Williamson, B., Parker, K., Hattan, S., Khainovski, N., Pillai, S., Dey, S., Daniels, S., Purkayastha, S., Juhasz, P., Martin, S., Bartlet-Jones, M., He, F., Jacobson, A., and Pappin, D. J. (2004) Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents. Mol. Cell Proteomics 3, 1154–1169. Epub 22 Sep 2004.
Vogt, J. A., Schroer, K., Holzer, K., Hunzinger, C., Klemm, M., Biefang-Arndt, K., Schillo, S., Cahill, M.A., Schrattenholz, A., Matthies, H., and Stegmann, W. (2003) Protein abundance quantification in embryonic stem cells using incomplete metabolic labelling with 15 N amino acids, matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry, and analysis of relative isotopologue abundances of peptides. Rapid Commun. Mass Spectrom. 17, 1273–1282.
Lilley, K. S., Razzaq, A., and Dupree, P. (2002) Two-dimensional gel electrophoresis: recent advances in sample preparation, detection and quantitation. Curr. Opin. Chem. Biol. 6, 46–50.
Olsson, I., Larsson, K., Palmgren, R., and Bjellqvist, B. (2002) Organic disulfides as a means to generate streak-free two-dimensional maps with narrow range basic immobilized pH gradient strips as first dimension. Proteomics 2, 1630–1632.
Knowles, M. R., Cervino, S., Skynner, H. A., Hunt, S. P., de Felipe, C., Salim, K., Meneses-Lorente, G., McAllister, G., and Guest, P. C. (2003) Multiplex proteomic analysis by two-dimensional differential in-gel electrophoresis. Proteomics 3, 1162–1171.
Prabakaran, S., Swatton, J. E., Ryan, M. M., Huffaker, S. J., Huang, J. J., Griffin, J. L., Wayland, M., Freeman, T., Dudbridge, F., Lilley, K. S., Karp, N. A., Hester, S., Tkachev, D., Mimmack, M. L., Yolken, R. H., Webster, M. J., Torrey, E. F., and Bahn, S. (2004) Mitochondrial dysfunction in schizophrenia: evidence for compromised brain metabolism and oxidative stress. Mol. Psychiatry 9, 684–697.
Wang, D., Jensen, R., Gendeh, G., Williams, K., and Pallavicini, M. G. (2004) Proteome and transcriptome analysis of retinoic acid-induced differentiation of human acute promyelocytic leukemia cells, NB4. J. Proteome Res. 3, 627–635.
Zhang, W. and Chait, B. T. (2000) ProFound: an expert system for protein identification using mass spectrometric peptide mapping information. Anal. Chem. 72, 2482–2489.
Zhang, Y. Q., Matthies, H. J., Mancuso, J., Andrews, H. K., Woodruff, E. 3rd, Friedman, D., and Broadie, K. (2004) The Drosophila fragile X-related gene regulates axoneme differentiation during spermatogenesis. Dev. Biol. 270, 290–307.
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Friedman, D.B., Lilley, K.S. (2009). Difference Gel Electrophoresis (DIGE). In: Walker, J.M. (eds) The Protein Protocols Handbook. Springer Protocols Handbooks. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-59745-198-7_39
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DOI: https://doi.org/10.1007/978-1-59745-198-7_39
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