Quantification of Peptide m/z Distributions from 13C-Labeled Cultures with High-Resolution Mass Spectrometry

Isotopic labeling studies of primary metabolism frequently utilize GC/MS to quantify (13)C in protein-hydrolyzed amino acids. During processing some amino acids are degraded, which reduces the size of the measurement set. The advent of high-resolution mass spectrometers provides a tool to assess molecular masses of peptides with great precision and accuracy and computationally infer information about labeling in amino acids. Amino acids that are isotopically labeled during metabolism result in labeled peptides that contain spatial and temporal information that is associated with the biosynthetic origin of the protein. The quantification of isotopic labeling in peptides can therefore provide an assessment of amino acid metabolism that is specific to subcellular, cellular, or temporal conditions. A high-resolution orbital trap was used to quantify isotope labeling in peptides that were obtained from unlabeled and isotopically labeled soybean embryos and Escherichia coli cultures. Standard deviations were determined by estimating the multinomial variance associated with each element of the m/z distribution. Using the estimated variance, quantification of the m/z distribution across multiple scans was achieved by a nonlinear fitting approach. Observed m/z distributions of uniformly labeled E. coli peptides indicated no significant differences between observed and simulated m/z distributions. Alternatively, amino acid m/z distributions obtained from GC/MS were convolved to simulate peptide m/z distributions but resulted in distinct profiles due to the production of protein prior to isotopic labeling. The results indicate that peptide mass isotopologue measurements faithfully represent mass distributions, are suitable for quantification of isotope-labeling-based studies, and provide additional information over existing methods.

[1]  Yair Shachar-Hill,et al.  Design of substrate label for steady state flux measurements in plant systems using the metabolic network of Brassica napus embryos. , 2007, Phytochemistry.

[2]  H. Krishnan,et al.  Identification of glycinin and beta-conglycinin subunits that contribute to the increased protein content of high-protein soybean lines. , 2007, Journal of agricultural and food chemistry.

[3]  Jamey D. Young,et al.  Carbon and Nitrogen Provisions Alter the Metabolic Flux in Developing Soybean Embryos1[W][OA] , 2013, Plant Physiology.

[4]  Nicola Zamboni,et al.  13C metabolic flux analysis in complex systems. , 2011, Current opinion in biotechnology.

[5]  Doug K. Allen,et al.  Metabolic flux analysis using ¹³C peptide label measurements. , 2014, The Plant journal : for cell and molecular biology.

[6]  F. Schmidt,et al.  Sulfur-34S Stable Isotope Labeling of Amino Acids for Quantification (SULAQ34) of Proteomic Changes in Pseudomonas fluorescens during Naphthalene Degradation* , 2013, Molecular & Cellular Proteomics.

[7]  J. Schwender,et al.  Analysis of Metabolic Flux Phenotypes for Two Arabidopsis Mutants with Severe Impairment in Seed Storage Lipid Synthesis1[W][OA] , 2009, Plant Physiology.

[8]  J. Schwender,et al.  Metabolic cartography: experimental quantification of metabolic fluxes from isotopic labelling studies. , 2012, Journal of experimental botany.

[9]  Matthias Mann,et al.  Innovations: Functional and quantitative proteomics using SILAC , 2006, Nature Reviews Molecular Cell Biology.

[10]  S. Gygi,et al.  Quantitative analysis of complex protein mixtures using isotope-coded affinity tags , 1999, Nature Biotechnology.

[11]  Ke,et al.  Seed-specific overexpression of phytoene synthase: increase in carotenoids and other metabolic effects , 1999, The Plant journal : for cell and molecular biology.

[12]  N. Kruger,et al.  Insights into plant metabolic networks from steady-state metabolic flux analysis. , 2009, Biochimie.

[13]  M. Mann,et al.  Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics* , 2002, Molecular & Cellular Proteomics.

[14]  A. Millar,et al.  Degradation rate of mitochondrial proteins in Arabidopsis thaliana cells. , 2013, Journal of proteome research.

[15]  Michael Berglund,et al.  Isotopic compositions of the elements 2009 (IUPAC Technical Report) , 2011 .

[16]  Elmar Heinzle,et al.  Eukaryotic metabolism: Measuring compartment fluxes , 2011, Biotechnology journal.

[17]  J. Ohlrogge,et al.  Isotope labelling of Rubisco subunits provides in vivo information on subcellular biosynthesis and exchange of amino acids between compartments , 2012, Plant, cell & environment.

[18]  A. Fernie,et al.  Analysis of metabolic flux using dynamic labelling and metabolic modelling. , 2013, Plant, cell & environment.

[19]  Ralf J. M. Weber,et al.  Characterization of isotopic abundance measurements in high resolution FT-ICR and Orbitrap mass spectra for improved confidence of metabolite identification. , 2011, Analytical chemistry.

[20]  Y. Shachar-Hill,et al.  Metabolic flux analysis in plants: coping with complexity. , 2009, Plant, cell & environment.

[21]  B. Searle Scaffold: A bioinformatic tool for validating MS/MS‐based proteomic studies , 2010, Proteomics.

[22]  宁北芳,et al.  疟原虫var基因转换速率变化导致抗原变异[英]/Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A , 2005 .

[23]  易美济 科学仪器公司Thermo Fisher Scientific正式起航 , 2007 .

[24]  B. Garcia,et al.  Proteomics , 2011, Journal of biomedicine & biotechnology.

[25]  U. Völker,et al.  Sulfur‐36S stable isotope labeling of amino acids for quantification (SULAQ) , 2012, Proteomics.

[26]  S. Böcker,et al.  Determination of ¹⁵N-incorporation into plant proteins and their absolute quantitation: a new tool to study nitrogen flux dynamics and protein pool sizes elicited by plant-herbivore interactions. , 2012, Journal of proteome research.

[27]  A. Kaufmann,et al.  Accuracy of relative isotopic abundance and mass measurements in a single-stage orbitrap mass spectrometer. , 2012, Rapid communications in mass spectrometry : RCM.

[28]  Theodoros N. Arvanitis,et al.  Dynamic range and mass accuracy of wide-scan direct infusion nanoelectrospray fourier transform ion cyclotron resonance mass spectrometry-based metabolomics increased by the spectral stitching method. , 2007, Analytical chemistry.

[29]  Y. Poirier,et al.  Targeting of the polyhydroxybutyrate biosynthetic pathway to the plastids of Arabidopsis thaliana results in high levels of polymer accumulation. , 1994, Proceedings of the National Academy of Sciences of the United States of America.

[30]  Shao-En Ong The expanding field of SILAC , 2012, Analytical and Bioanalytical Chemistry.

[31]  K. Parker,et al.  Multiplexed Protein Quantitation in Saccharomyces cerevisiae Using Amine-reactive Isobaric Tagging Reagents*S , 2004, Molecular & Cellular Proteomics.

[32]  F. Schmidt,et al.  Protein-based stable isotope probing , 2010, Nature Protocols.

[33]  Christopher S. Hughes,et al.  Developments in quantitative mass spectrometry for the analysis of proteome dynamics. , 2012, Trends in biotechnology.

[34]  Sarah F Martin,et al.  Proteome turnover in the green alga Ostreococcus tauri by time course 15N metabolic labeling mass spectrometry. , 2012, Journal of proteome research.

[35]  J. Ohlrogge,et al.  The role of light in soybean seed filling metabolism. , 2009, The Plant journal : for cell and molecular biology.

[36]  M. Stitt Systems-integration of plant metabolism: means, motive and opportunity. , 2013, Current opinion in plant biology.

[37]  Phillip C. Wright,et al.  An insight into iTRAQ: where do we stand now? , 2012, Analytical and Bioanalytical Chemistry.

[38]  Y. Shachar-Hill,et al.  Insights into metabolic efficiency from flux analysis. , 2012, Journal of experimental botany.

[39]  M. von Bergen,et al.  Stable Isotope Peptide Mass Spectrometry To Decipher Amino Acid Metabolism in Dehalococcoides Strain CBDB1 , 2012, Journal of bacteriology.

[40]  A. Aharoni,et al.  The challenges of cellular compartmentalization in plant metabolic engineering. , 2013, Current opinion in biotechnology.

[41]  M. Mann,et al.  Parts per Million Mass Accuracy on an Orbitrap Mass Spectrometer via Lock Mass Injection into a C-trap*S , 2005, Molecular & Cellular Proteomics.

[42]  Y. Shachar-Hill,et al.  Metabolic flux analysis in plants: from intelligent design to rational engineering. , 2008, Annual review of plant biology.

[43]  R. George Ratcliffe,et al.  The metabolic flux phenotype of heterotrophic Arabidopsis cells reveals a complex response to changes in nitrogen supply. , 2013, The Plant journal : for cell and molecular biology.

[44]  F. Hsu,et al.  Compositional analysis of in vitro matured soybean seeds , 1982 .

[45]  J. T. Madison,et al.  In vitro Culture of Immature Cotyledons of Soya Bean (Glycine max L. Merr.) , 1977 .

[46]  M. Mann,et al.  Precision proteomics: The case for high resolution and high mass accuracy , 2008, Proceedings of the National Academy of Sciences.

[47]  J. Ohlrogge,et al.  Compartment-specific labeling information in 13C metabolic flux analysis of plants. , 2007, Phytochemistry.

[48]  Alexey I Nesvizhskii,et al.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. , 2002, Analytical chemistry.

[49]  S. K. Masakapalli,et al.  Strategies for investigating the plant metabolic network with steady-state metabolic flux analysis: lessons from an Arabidopsis cell culture and other systems. , 2012, Journal of experimental botany.

[50]  Jens M. Rick,et al.  Quantitative mass spectrometry in proteomics: a critical review , 2007, Analytical and bioanalytical chemistry.

[51]  G. Sriram,et al.  Designer labels for plant metabolism: statistical design of isotope labeling experiments for improved quantification of flux in complex plant metabolic networks. , 2013, Molecular bioSystems.

[52]  Andreas Schmid,et al.  Analysis of carbon and nitrogen co-metabolism in yeast by ultrahigh-resolution mass spectrometry applying 13C- and 15N-labeled substrates simultaneously , 2012, Analytical and Bioanalytical Chemistry.

[53]  Francis Impens,et al.  Stable isotopic labeling in proteomics , 2008, Proteomics.

[54]  F. Schmidt,et al.  Time resolved protein‐based stable isotope probing (Protein‐SIP) analysis allows quantification of induced proteins in substrate shift experiments , 2011, Proteomics.

[55]  J. Shanks,et al.  Flux quantification in central carbon metabolism of Catharanthus roseus hairy roots by 13C labeling and comprehensive bondomer balancing. , 2007, Phytochemistry.

[56]  N. Lundell,et al.  Sample preparation for peptide mapping--A pharmaceutical quality-control perspective. , 1999, Analytical biochemistry.

[57]  Alisdair R Fernie,et al.  The spatial organization of metabolism within the plant cell. , 2013, Annual Review of Plant Biology.

[58]  Christophe Junot,et al.  Evaluation of accurate mass and relative isotopic abundance measurements in the LTQ-orbitrap mass spectrometer for further metabolomics database building. , 2010, Analytical chemistry.