@article {49737,
	title = {Stable isotope labeling of phosphoproteins for large-scale phosphorylation rate determination.},
	journal = {Mol Cell Proteomics},
	volume = {13},
	year = {2014},
	month = {2014 Apr},
	pages = {1106-18},
	abstract = {<p>Signals that control responses to stimuli and cellular function are transmitted through the dynamic phosphorylation of thousands of proteins by protein kinases. Many techniques have been developed to study phosphorylation dynamics, including several mass spectrometry (MS)-based methods. Over the past few decades, substantial developments have been made in MS techniques for the large-scale identification of proteins and their post-translational modifications. Nevertheless, all of the current MS-based techniques for quantifying protein phosphorylation dynamics rely on the measurement of changes in peptide abundance levels, and many methods suffer from low confidence in phosphopeptide identification due to poor fragmentation. Here we have optimized an approach for the stable isotope labeling of amino acids by phosphate using [γ-{\textonesuperior}$^{8}$O$_{4}$]ATP in nucleo to determine global site-specific phosphorylation rates. The advantages of this metabolic labeling technique are increased confidence in phosphorylated peptide identification, direct labeling of phosphorylation sites, measurement phosphorylation rates, and the identification of actively phosphorylated sites in a cell-like environment. In this study we calculated approximate rate constants for over 1,000 phosphorylation sites based on labeling progress curves. We measured a wide range of phosphorylation rate constants from 0.34 min$^{-}${\textonesuperior} to 0.001 min$^{-}${\textonesuperior}. Finally, we applied stable isotope labeling of amino acids by phosphate to identify sites that have different phosphorylation kinetics during G1/S and M phase. We found that most sites had very similar phosphorylation rates under both conditions; however, a small subset of sites on proteins involved in the mitotic spindle were more actively phosphorylated during M phase, whereas proteins involved in DNA replication and transcription were more actively phosphorylated during G1/S phase. The data have been deposited to the ProteomeXchange with the identifier PXD000680.</p>},
	keywords = {cell cycle, HEK293 Cells, HeLa Cells, HUMANS, Isotope Labeling, Kinetics, Peptide Mapping, Phosphoproteins, Phosphorylation, proteomics, Tandem Mass Spectrometry},
	issn = {1535-9484},
	doi = {10.1074/mcp.O113.036145},
	author = {Molden, Rosalynn C and Goya, Jonathan and Khan, Zia and Garcia, Benjamin A}
}
@article {49744,
	title = {Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.},
	journal = {Genome Biol},
	volume = {12},
	year = {2011},
	month = {2011},
	pages = {R122},
	abstract = {<p>In quantitative mass spectrometry-based proteomics, the metabolic incorporation of a single source of 15N-labeled nitrogen has many advantages over using stable isotope-labeled amino acids. However, the lack of a robust computational framework for analyzing the resulting spectra has impeded wide use of this approach. We have addressed this challenge by introducing a new computational methodology for analyzing 15N spectra in which quantification is integrated with identification. Application of this method to an Escherichia coli growth transition reveals significant improvement in quantification accuracy over previous methods.</p>},
	keywords = {algorithms, Amino Acid Sequence, Bacterial Proteins, Escherichia coli, Isotope Labeling, Mass Spectrometry, Molecular Sequence Data, Nitrogen Isotopes, Proteome, proteomics, Sensitivity and Specificity, software},
	issn = {1474-760X},
	doi = {10.1186/gb-2011-12-12-r122},
	author = {Khan, Zia and Amini, Sasan and Bloom, Joshua S and Ruse, Cristian and Caudy, Amy A and Kruglyak, Leonid and Singh, Mona and Perlman, David H and Tavazoie, Saeed}
}
