Multitagging proteomic strategy to estimate protein turnover rates in dynamic systems.

@article{Jayapal2010MultitaggingPS,
  title={Multitagging proteomic strategy to estimate protein turnover rates in dynamic systems.},
  author={Karthik P. Jayapal and Siguang Sui and Robin J. Philp and Yee-Jiun Kok and Miranda Gek Sim Yap and Timothy J. Griffin and Wei-Shou Hu},
  journal={Journal of proteome research},
  year={2010},
  volume={9 5},
  pages={2087-97}
}
Current techniques for quantitative proteomics focus mainly on measuring overall protein dynamics, which is the net result of protein synthesis and degradation. Understanding the rate of this synthesis/degradation is essential to fully appreciate cellular dynamics and bridge the gap between transcriptome and proteome data. Protein turnover rates can be estimated through "label-chase" experiments employing stable isotope-labeled precursors; however, the implicit assumption of steady-state in… CONTINUE READING
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