Literature DB >> 19117454

Characterization of phosphorylated peptides using traveling wave-based and drift cell ion mobility mass spectrometry.

Konstantinos Thalassinos1, Megan Grabenauer, Susan E Slade, Gillian R Hilton, Michael T Bowers, James H Scrivens.   

Abstract

Phosphorylation is one the most studied and important post translational modifications. Nano electrospray mass spectrometry coupled with traveling wave (T-Wave)-based ion mobility has been used to filter for phosphorylated peptides in tryptic protein digests. T-Wave parameters have been optimized to maximize the separation between phosphorylated and non-phosphorylated peptides. A method to calibrate the T-Wave device, to provide estimates of collision cross sections, is presented, and these estimates are in excellent agreement with values obtained on drift cell instrumentation. Phosphorylated peptides have smaller cross sections which enables their separation from non-phosphorylated peptides of the same m/z. Post-mobility fragmentation is used to obtain the primary sequence for peptides of interest. This approach is shown to have potential as an additional screen for phosphorylated peptides, where up to 40% of observed peptides can be eliminated from the study.

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Year:  2009        PMID: 19117454     DOI: 10.1021/ac801916h

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


  73 in total

1.  Ion mobility mass spectrometry coupled with rapid protein threading predictor structure prediction and collision-induced dissociation for probing chemokine conformation and stability.

Authors:  Milady R Niñonuevo; Julie A Leary
Journal:  Anal Chem       Date:  2012-03-16       Impact factor: 6.986

Review 2.  Proteomics and systems biology: current and future applications in the nutritional sciences.

Authors:  J Bernadette Moore; Mark E Weeks
Journal:  Adv Nutr       Date:  2011-06-28       Impact factor: 8.701

3.  Traveling-wave ion mobility mass spectrometry analysis of isomeric modified peptides arising from chemical cross-linking.

Authors:  Luiz F A Santos; Amadeu H Iglesias; Eduardo J Pilau; Alexandre F Gomes; Fabio C Gozzo
Journal:  J Am Soc Mass Spectrom       Date:  2010-09-21       Impact factor: 3.109

4.  Structural Studies of Fucosylated N-Glycans by Ion Mobility Mass Spectrometry and Collision-Induced Fragmentation of Negative Ions.

Authors:  David J Harvey; Weston B Struwe
Journal:  J Am Soc Mass Spectrom       Date:  2018-05-22       Impact factor: 3.109

5.  The mass-mobility correlation redux: the conformational landscape of anhydrous biomolecules.

Authors:  John A McLean
Journal:  J Am Soc Mass Spectrom       Date:  2009-07-03       Impact factor: 3.109

6.  Methodology for measuring conformation of solvent-disrupted protein subunits using T-WAVE ion mobility MS: an investigation into eukaryotic initiation factors.

Authors:  Julie A Leary; Matthew R Schenauer; Raluca Stefanescu; Armann Andaya; Brandon T Ruotolo; Carol V Robinson; Konstantinos Thalassinos; James H Scrivens; Masaaki Sokabe; John W B Hershey
Journal:  J Am Soc Mass Spectrom       Date:  2009-05-20       Impact factor: 3.109

7.  Shape changes induced by N-terminal platination of ubiquitin by cisplatin.

Authors:  Jonathan P Williams; Hazel I A Phillips; Iain Campuzano; Peter J Sadler
Journal:  J Am Soc Mass Spectrom       Date:  2010-02-11       Impact factor: 3.109

Review 8.  Size, weight and position: ion mobility spectrometry and imaging MS combined.

Authors:  András Kiss; Ron M A Heeren
Journal:  Anal Bioanal Chem       Date:  2011-01-13       Impact factor: 4.142

9.  Travelling-wave ion mobility and negative ion fragmentation of high-mannose N-glycans.

Authors:  David J Harvey; Charlotte A Scarff; Matthew Edgeworth; Weston B Struwe; Kevin Pagel; Konstantinos Thalassinos; Max Crispin; Jim Scrivens
Journal:  J Mass Spectrom       Date:  2016-03       Impact factor: 1.982

10.  Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry.

Authors:  Bing Wang; Steve Valentine; Manolo Plasencia; Sriram Raghuraman; Xiang Zhang
Journal:  BMC Bioinformatics       Date:  2010-04-11       Impact factor: 3.169

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