Literature DB >> 27744677

Heavy Sugar and Heavy Water Create Tunable Intact Protein Mass Increases for Quantitative Mass Spectrometry in Any Feed and Organism.

Jeniffer V Quijada1,2, Nicholas D Schmitt1,2, Joseph P Salisbury1,2, Jared R Auclair1,2, Jeffrey N Agar1,2,3.   

Abstract

Stable isotope labeling techniques for quantitative top-down proteomics face unique challenges. These include unpredictable mass shifts following isotope labeling, which impedes analysis of unknown proteins and complex mixtures and exponentially greater susceptibility to incomplete isotope incorporation, manifesting as broadening of labeled intact protein peaks. Like popular bottom-up isotope labeling techniques, most top-down labeling methods are restricted to defined media/feed as well as amino acid auxotrophic organisms. We present a labeling method optimized for top-down proteomics that overcomes these challenges. We demonstrated this method through the spiking of 13C-sugar or n class="Chemical">2H-water into standard laboratory feedstocks, resulting in tunable intact protein mass increases (TIPMI). After mixing of labeled and unlabeled samples, direct comparison of light and heavy peaks allowed for the relative quantitation of intact proteins in three popular model organisms, including prokaryotic and eukaryotic microorganisms and an animal. This internal standard method proved to be more accurate than label-free quantitation in our hands. Advantages over top-down SILAC include working equally well in nutrient-rich media, conceivably expanding applicability to any organism and all classes of biomolecules, not requiring high-resolving power MS for quantitation and being relatively inexpensive.

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Year:  2016        PMID: 27744677      PMCID: PMC6010193          DOI: 10.1021/acs.analchem.6b03234

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  32 in total

1.  Subtle modification of isotope ratio proteomics; an integrated strategy for expression proteomics.

Authors:  Julian P Whitelegge; Jonathan E Katz; Katianna A Pihakari; Rebecca Hale; Rodrigo Aguilera; Stephen M Gómez; Kym F Faull; Dmitrii Vavilin; Willem Vermaas
Journal:  Phytochemistry       Date:  2004-06       Impact factor: 4.072

2.  Measurement of protein turnover rates by heavy water labeling of nonessential amino acids.

Authors:  Robert Busch; Yoo-Kyeong Kim; Richard A Neese; Valerie Schade-Serin; Michelle Collins; Mohamad Awada; James L Gardner; Carine Beysen; Michael E Marino; Lisa M Misell; Marc K Hellerstein
Journal:  Biochim Biophys Acta       Date:  2006-01-24

3.  Determination of monoisotopic masses and ion populations for large biomolecules from resolved isotopic distributions.

Authors:  M W Senko; S C Beu; F W McLaffertycor
Journal:  J Am Soc Mass Spectrom       Date:  1995-04       Impact factor: 3.109

4.  Measuring proteome dynamics in vivo: as easy as adding water?

Authors:  Nadia Rachdaoui; Leanne Austin; Eric Kramer; Michael J Previs; Vernon E Anderson; Takhar Kasumov; Stephen F Previs
Journal:  Mol Cell Proteomics       Date:  2009-09-01       Impact factor: 5.911

5.  Native SILAC: metabolic labeling of proteins in prototroph microorganisms based on lysine synthesis regulation.

Authors:  Florian Fröhlich; Romain Christiano; Tobias C Walther
Journal:  Mol Cell Proteomics       Date:  2013-04-16       Impact factor: 5.911

6.  Robust analysis of the yeast proteome under 50 kDa by molecular-mass-based fractionation and top-down mass spectrometry.

Authors:  John F Kellie; Adam D Catherman; Kenneth R Durbin; John C Tran; Jeremiah D Tipton; Jeremy L Norris; Charles E Witkowski; Paul M Thomas; Neil L Kelleher
Journal:  Anal Chem       Date:  2011-12-14       Impact factor: 6.986

7.  Quantitative top-down proteomics of SILAC labeled human embryonic stem cells.

Authors:  Timothy S Collier; Prasenjit Sarkar; Balaji Rao; David C Muddiman
Journal:  J Am Soc Mass Spectrom       Date:  2010-02-06       Impact factor: 3.109

Review 8.  Mass spectrometry based targeted protein quantification: methods and applications.

Authors:  Sheng Pan; Ruedi Aebersold; Ru Chen; John Rush; David R Goodlett; Martin W McIntosh; Jing Zhang; Teresa A Brentnall
Journal:  J Proteome Res       Date:  2009-02       Impact factor: 4.466

9.  Quantifying rates of protein synthesis in humans by use of 2H2O: application to patients with end-stage renal disease.

Authors:  Stephen F Previs; Richard Fatica; Visvanathan Chandramouli; James C Alexander; Henri Brunengraber; Bernard R Landau
Journal:  Am J Physiol Endocrinol Metab       Date:  2003-12-23       Impact factor: 4.310

10.  Neutron-encoded mass signatures for quantitative top-down proteomics.

Authors:  Timothy W Rhoads; Christopher M Rose; Derek J Bailey; Nicholas M Riley; Rosalynn C Molden; Amelia J Nestler; Anna E Merrill; Lloyd M Smith; Alexander S Hebert; Michael S Westphall; David J Pagliarini; Benjamin A Garcia; Joshua J Coon
Journal:  Anal Chem       Date:  2014-02-19       Impact factor: 6.986

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  3 in total

Review 1.  High-throughput quantitative top-down proteomics.

Authors:  Kellye A Cupp-Sutton; Si Wu
Journal:  Mol Omics       Date:  2020-01-14

Review 2.  Top-Down Proteomics: Ready for Prime Time?

Authors:  Bifan Chen; Kyle A Brown; Ziqing Lin; Ying Ge
Journal:  Anal Chem       Date:  2017-12-15       Impact factor: 6.986

3.  Metabolic labeling in middle-down proteomics allows for investigation of the dynamics of the histone code.

Authors:  Simone Sidoli; Congcong Lu; Mariel Coradin; Xiaoshi Wang; Kelly R Karch; Chrystian Ruminowicz; Benjamin A Garcia
Journal:  Epigenetics Chromatin       Date:  2017-07-06       Impact factor: 4.954

  3 in total

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