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Amino acid residue specific stable isotope labeling for quantitative proteomics
Open accessAbstract
Various stable isotope labeling (SIL) techniques have recently emerged to improve the efficiency and accuracy of protein quantitation by mass spectrometry (MS). We have developed a mass‐tagging strategy to incorporate stable isotope tagged amino acids into cellular proteins in a residue‐specific manner during cell growth. In this study, we further extend this residue‐specific SIL approach to the accurate quantitation of protein abundances in different cell populations. For proteins whose expression levels are the same in cells grown in the normal and labeled media, the relative areas of the normal (light) and labeled (heavy) isotopic peaks are linearly correlated with the cells mixing ratios. This approach was first used to determine the effect of the zinc‐responsive transcription factor Zap1 on the yeast proteome. Ten protein spots from a PAGE gel were chosen randomly and their differential protein expression levels in wild‐type and zap1Δ cells were readily determined by the isotopic ratio. Methionine synthase (Met6) was identified to be up‐regulated more than four times in the zap1Δ mutant strain whereas the expression level of other nine proteins remained unchanged. Further, we applied this strategy to study the cellular response to radiation in human skin fibroblast cells. Analyzing one protein band randomly selected from SDS‐PAGE, the expression level of a novel protein was found to increase two‐fold in response to radiation whereas the expression level of a control protein remained unchanged. This strategy is generally applicable using any particular type of amino acid as the labeling precursors for accurate quantitation of protein relative abundances. Published in 2002 by John Wiley & Sons, Ltd.
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Cites
Quantitative analysis of complex protein mixtures using isotope-coded affinity tags
Gygi, S. P., Rist, B., Gerber, S. A., Turecek, F., Gelb, M. H., & Aebersold, R. (1999) · Nature Biotechnology · doi:10.1038/13690 · Cited by 4,683
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Mass spectrometry–based proteomics turns quantitative
Ong, S.-E., & Mann, M. (2005) · Nature Chemical Biology · doi:10.1038/nchembio736 · Cited by 1,572
Peterson, A. C., Russell, J. D., Bailey, D. J., Westphall, M. S., & Coon, J. J. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o112.020131 · Cited by 1,288
Definitions of terms relating to mass spectrometry (IUPAC Recommendations 2013)
Murray, K. K., Boyd, R. K., Eberlin, M. N., Langley, G. J., Li, L., & Naito, Y. (2013) · Pure and Applied Chemistry · doi:10.1351/pac-rec-06-04-06 · Cited by 687
Global analysis of phosphorylation and ubiquitylation cross-talk in protein degradation
Swaney, D. L., Beltrao, P., Starita, L., Guo, A., Rush, J., Fields, S., Krogan, N. J., & Villén, J. (2013) · Nature Methods · doi:10.1038/nmeth.2519 · Cited by 599
Interpreting the protein language using proteomics
Jensen, O. N. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1939 · Cited by 502
Metadata
- Authors
- Zhu, H., Pan, S., Gu, S., Bradbury, E. M., & Chen, X.
- Venue
- Rapid Communications in Mass Spectrometry
- Publisher
- Wiley
- Published
- 2002-10-25
- Volume
- 16
- Issue
- 22
- Pages
- 2115-2123
- ISSN
- 0951-4198 (ISSN-L)
- 1097-0231
- OpenAlex
- W2144718087
- Cited by
- 211
- References
- 1
- FWCI
- 4.96
- Type
- journal article
- Language
- en
- Open access
- green
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