Literature DB >> 18804385

Mass-based classification (MBC) of peptides: highly accurate precursor ion mass values can be used to directly recognize peptide phosphorylation.

Bernhard Spengler1, Alfons Hester.   

Abstract

Accurate mass values as obtainable by Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) were employed in a theoretical study to differentiate between nonmodified and phosphorylated peptides. It was found that for peptide masses up to 1,000 u more than 98% of all theoretical monophosphorylated peptides (all possible combinations of proteinogenic amino acids having one phosphorylation on S, T, or Y) can be distinguished from nonphosphorylated peptides directly by their mass, if mass values are determined with an accuracy of better than +/-0.1 ppm. At a peptide mass of 1,500 u still 70% of all possible monophosphorylated peptides are distinguishable from nonmodified peptides by their accurate mass alone. In contrast to established techniques of data-dependent multidimensional mass spectrometry, only the mass of the precursor ion is necessary to decide upon subsequent fragment ion analysis of a peptide for sequence analysis in an LC-MS/MS investigation of a complex sample, when using a precalculated mass distribution table of theoretical peptides. A mass distribution table of nonphosphorylated and monophosphorylated peptides with a bin width of 0.1 mu was made available via the open web site www.peptidecomposer.com.

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Year:  2008        PMID: 18804385     DOI: 10.1016/j.jasms.2008.08.005

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  4 in total

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Authors:  Richard D Smith; Gordon A Anderson; Mary S Lipton; Ljiljana Pasa-Tolic; Yufeng Shen; Thomas P Conrads; Timothy D Veenstra; Harold R Udseth
Journal:  Proteomics       Date:  2002-05       Impact factor: 3.984

2.  De novo sequencing, peptide composition analysis, and composition-based sequencing: a new strategy employing accurate mass determination by fourier transform ion cyclotron resonance mass spectrometry.

Authors:  Bernhard Spengler
Journal:  J Am Soc Mass Spectrom       Date:  2004-05       Impact factor: 3.109

3.  Direct protein identification from nonspecific peptide pools by high-accuracy MS data filtering.

Authors:  Vinh An Thieu; Dieter Kirsch; Thomas Flad; Claudia Müller; Bernhard Spengler
Journal:  Angew Chem Int Ed Engl       Date:  2006-05-12       Impact factor: 15.336

4.  Accurate mass as a bioinformatic parameter in data-to-knowledge conversion: Fourier transform ion cyclotron resonance mass spectrometry for peptide de novo sequencing.

Authors:  B Spengler
Journal:  Eur J Mass Spectrom (Chichester)       Date:  2007       Impact factor: 1.067

  4 in total
  9 in total

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Authors:  Claudio Iacobucci; Christoph Hage; Mathias Schäfer; Andrea Sinz
Journal:  J Am Soc Mass Spectrom       Date:  2017-07-17       Impact factor: 3.109

2.  A novel mass spectrometry cluster for high-throughput quantitative proteomics.

Authors:  Magnus Palmblad; Yuri E M van der Burgt; Ekaterina Mostovenko; Hans Dalebout; André M Deelder
Journal:  J Am Soc Mass Spectrom       Date:  2010-02-08       Impact factor: 3.109

3.  Novel Concepts of MS-Cleavable Cross-linkers for Improved Peptide Structure Analysis.

Authors:  Christoph Hage; Francesco Falvo; Mathias Schäfer; Andrea Sinz
Journal:  J Am Soc Mass Spectrom       Date:  2017-06-26       Impact factor: 3.109

Review 4.  Signal processing by protein tyrosine phosphorylation in plants.

Authors:  Thanos Ghelis
Journal:  Plant Signal Behav       Date:  2011-07

5.  Characterization and diagnostic value of amino acid side chain neutral losses following electron-transfer dissociation.

Authors:  Qiangwei Xia; M Violet Lee; Christopher M Rose; Alyce J Marsh; Shane L Hubler; Craig D Wenger; Joshua J Coon
Journal:  J Am Soc Mass Spectrom       Date:  2011-01-27       Impact factor: 3.109

6.  Use of theoretical peptide distributions in phosphoproteome analysis.

Authors:  Mridul Kalita; Takhar Kasumov; Allan R Brasier; Rovshan G Sadygov
Journal:  J Proteome Res       Date:  2013-06-19       Impact factor: 4.466

7.  Identification of Phosphorylated Human Peptides by Accurate Mass Measurement Alone.

Authors:  Yuan Mao; Leonid Zamdborg; Neil L Kelleher; Christopher L Hendrickson; Alan G Marshall
Journal:  Int J Mass Spectrom       Date:  2011-08-10       Impact factor: 1.986

8.  Use of singular value decomposition analysis to differentiate phosphorylated precursors in strong cation exchange fractions.

Authors:  Rovshan G Sadygov
Journal:  Electrophoresis       Date:  2014-07-24       Impact factor: 3.535

9.  A parallel method for enumerating amino acid compositions and masses of all theoretical peptides.

Authors:  Alexey V Nefedov; Rovshan G Sadygov
Journal:  BMC Bioinformatics       Date:  2011-11-07       Impact factor: 3.307

  9 in total

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