Literature DB >> 11840562

Stable isotope labelling in vivo as an aid to protein identification in peptide mass fingerprinting.

Julie M Pratt1, Duncan H L Robertson, Simon J Gaskell, Isabel Riba-Garcia, Simon J Hubbard, Khushwant Sidhu, Stephen G Oliver, Philip Butler, Andrew Hayes, June Petty, Robert J Beynon.   

Abstract

Peptide mass fingerprinting (PMF) is a powerful technique for identification of proteins derived from in-gel digests by virtue of their matrix-assisted laser desorption/ionization-time of flight mass spectra. However, there are circumstances where the under-representation of peptides in the mass spectrum and the complexity of the source proteome mean that PMF is inadequate as an identification tool. In this paper, we show that identification is substantially enhanced by inclusion of composition data for a single amino acid. Labelling in vivo with a stable isotope labelled amino acid (in this paper, decadeuterated leucine) identifies the number of such amino acids in each digest fragment, and show a considerable gain in the ability of PMF to identify the parent protein. The method is tolerant to the extent of labelling, and as such, may be applicable to a range of single cell systems.

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Year:  2002        PMID: 11840562      PMCID: PMC2705914          DOI: 10.1002/1615-9861(200202)2:2<157::aid-prot157>3.0.co;2-m

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  8 in total

Review 1.  Protein identification methods in proteomics.

Authors:  K Gevaert; J Vandekerckhove
Journal:  Electrophoresis       Date:  2000-04       Impact factor: 3.535

2.  Probability-based protein identification by searching sequence databases using mass spectrometry data.

Authors:  D N Perkins; D J Pappin; D M Creasy; J S Cottrell
Journal:  Electrophoresis       Date:  1999-12       Impact factor: 3.535

Review 3.  Analysis of proteins and proteomes by mass spectrometry.

Authors:  M Mann; R C Hendrickson; A Pandey
Journal:  Annu Rev Biochem       Date:  2001       Impact factor: 23.643

4.  Designer deletion strains derived from Saccharomyces cerevisiae S288C: a useful set of strains and plasmids for PCR-mediated gene disruption and other applications.

Authors:  C B Brachmann; A Davies; G J Cost; E Caputo; J Li; P Hieter; J D Boeke
Journal:  Yeast       Date:  1998-01-30       Impact factor: 3.239

5.  Site-specific mass tagging with stable isotopes in proteins for accurate and efficient protein identification.

Authors:  X Chen; L M Smith; E M Bradbury
Journal:  Anal Chem       Date:  2000-03-15       Impact factor: 6.986

6.  Quantitative analysis of yeast gene function using competition experiments in continuous culture.

Authors:  F Baganz; A Hayes; R Farquhar; P R Butler; D C Gardner; S G Oliver
Journal:  Yeast       Date:  1998-11       Impact factor: 3.239

7.  A combination of chemical derivatisation and improved bioinformatic tools optimises protein identification for proteomics.

Authors:  F L Brancia; A Butt; R J Beynon; S J Hubbard; S J Gaskell; S G Oliver
Journal:  Electrophoresis       Date:  2001-02       Impact factor: 3.535

8.  Proteome analysis using selective incorporation of isotopically labeled amino acids.

Authors:  T D Veenstra; S Martinović; G A Anderson; L Pasa-Tolić; R D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2000-01       Impact factor: 3.262

  8 in total
  11 in total

1.  Rapid validation of Mascot search results via stable isotope labeling, pair picking, and deconvolution of fragmentation patterns.

Authors:  Samuel L Volchenboum; Kolbrun Kristjansdottir; Donald Wolfgeher; Stephen J Kron
Journal:  Mol Cell Proteomics       Date:  2009-05-11       Impact factor: 5.911

2.  Relative quantification of tau-related peptides using guanidino-labeling derivatization (GLaD) with online-LC on a hybrid ion trap (IT) time-of-flight (ToF) mass spectrometer.

Authors:  Jessica Z Bereszczak; Francesco L Brancia; Federico A Rojas Quijano; Warren J Goux
Journal:  J Am Soc Mass Spectrom       Date:  2006-10-24       Impact factor: 3.109

3.  Matching isotopic distributions from metabolically labeled samples.

Authors:  Sean McIlwain; David Page; Edward L Huttlin; Michael R Sussman
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

4.  Proteins with high turnover rate in barley leaves estimated by proteome analysis combined with in planta isotope labeling.

Authors:  Clark J Nelson; Ralitza Alexova; Richard P Jacoby; A Harvey Millar
Journal:  Plant Physiol       Date:  2014-07-31       Impact factor: 8.340

5.  Neutron encoded labeling for peptide identification.

Authors:  Christopher M Rose; Anna E Merrill; Derek J Bailey; Alexander S Hebert; Michael S Westphall; Joshua J Coon
Journal:  Anal Chem       Date:  2013-05-02       Impact factor: 6.986

6.  Dissecting the Structural Dynamics of the Nuclear Pore Complex.

Authors:  Zhanna Hakhverdyan; Kelly R Molloy; Sarah Keegan; Thurston Herricks; Dante M Lepore; Mary Munson; Roman I Subbotin; David Fenyö; John D Aitchison; Javier Fernandez-Martinez; Brian T Chait; Michael P Rout
Journal:  Mol Cell       Date:  2020-12-16       Impact factor: 17.970

7.  Proteome analysis of yeast response to various nutrient limitations.

Authors:  Annemieke Kolkman; Pascale Daran-Lapujade; Asier Fullaondo; Maurien M A Olsthoorn; Jack T Pronk; Monique Slijper; Albert J R Heck
Journal:  Mol Syst Biol       Date:  2006-05-16       Impact factor: 11.429

8.  Electrospray ionisation-cleavable tandem nucleic acid mass tag-peptide nucleic acid conjugates: synthesis and applications to quantitative genomic analysis using electrospray ionisation-MS/MS.

Authors:  Andrew Thompson; Mark Prescott; Noorhan Chelebi; John Smith; Tom Brown; Günter Schmidt
Journal:  Nucleic Acids Res       Date:  2007-01-26       Impact factor: 16.971

9.  Enabling proteomics: the need for an extendable 'workbench' for user-configurable solutions.

Authors:  Robert J Beynon
Journal:  Comp Funct Genomics       Date:  2004

Review 10.  Statistical methods for quantitative mass spectrometry proteomic experiments with labeling.

Authors:  Ann L Oberg; Douglas W Mahoney
Journal:  BMC Bioinformatics       Date:  2012-11-05       Impact factor: 3.169

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