Protein Expression Profiling

  • Daniel C. Liebler


Much work in biochemistry and physiology already has shown us that biochemical pathways are constantly in flux. The use of DNA microarrays has demonstrated that gene-expression patterns in cells are also changing constantly. Indeed, one can use either old or new technologies to observe regular changes in the status of many enzymes during the daily life cycle of an organism or in the cycle of a cell. All this suggests that the proteomes of cells are constantly changing as well. In addition to these changes that are essential to life, other changes are induced by environmental stimuli, chemicals, drugs, and growth and disease processes. Many of these latter changes interest those trying to understand complicated pathologies (e.g., cancer) or trying to identify novel targets for therapeutic drugs. Perhaps the ultimate challenge of proteomics is to measure the status of all cellular proteins as they change with time. Unfortunately, the technology is not yet there. Nevertheless, the problem of comparing proteomes between two states of a cell or organism is relevant and important.


Protein Spot Complex Peptide Mixture Biotin Moiety Avidin Bead Label Cysteine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Suggested Reading

  1. Binz, R. A., Muller, M., Walther, D., Bienvenut, W. V., Gras, R., Hoogland, C., et al. (1999) A molecular scanner to automate proteomic research and to display proteome images. Anal. Chem. 71, 4981–4988.PubMedCrossRefGoogle Scholar
  2. Gygi, S. R, 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.PubMedCrossRefGoogle Scholar
  3. Lemkin, P. F. (1997) Comparing two-dimensional electrophoretic gel images across the Internet. Electrophoresis 18, 461–470.PubMedCrossRefGoogle Scholar
  4. Wilkins, M. R., Gasteiger, E., Bairoch, A., Sanchez, J. C., Williams, K. L., Appel, R. D., and Hochstrasser, D. F. (1999) Protein identification and analysis tools in the ExPASy server. Methods Mol. Biol. 112, 531–552.PubMedGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Daniel C. Liebler
    • 1
  1. 1.College of PharmacyThe University of ArizonaTucsonUSA

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