Literature DB >> 11293699

Gas-phase separations of complex tryptic peptide mixtures.

J A Taraszka1, A E Counterman, D E Clemmer.   

Abstract

High-resolution ion mobility and time-of-flight mass spectrometry techniques have been used to analyze complex mixtures of peptides generated from tryptic digestion of fourteen common proteins (albumin, bovine, dog, horse, pig, and sheep; aldolase, rabbit; beta-casein, bovine; cytochrome c, horse; beta-lactoglobulin, bovine; myoglobin, horse; hemoglobin, human, pig, rabbit, and sheep). In this approach, ions are separated based on differences in mobilities in helium in a drift tube and on differences in their mass-to-charge ratios in a mass spectrometer. From data recorded for fourteen individual proteins (over a m/z range of 405 to 1,000), we observe 428 peaks, of which 205 are assigned to fragments that are expected from tryptic digestion. In a separate analysis, the fourteen mixtures have been combined and analyzed as one system. In the single dataset, we resolve 260 features and are able to assign 168 peaks to unique peptide sequences. Many other unresolved features are observed. Methods for assigning peptides based on the use of m/z information and existing mobilities or mobilities that are predicted by use of intrinsic size parameters are described.

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Year:  2001        PMID: 11293699     DOI: 10.1007/s002160000669

Source DB:  PubMed          Journal:  Fresenius J Anal Chem        ISSN: 0937-0633


  11 in total

1.  Delineating diseases by IMS-MS profiling of serum N-linked glycans.

Authors:  Dragan Isailovic; Manolo D Plasencia; Maissa M Gaye; Sarah T Stokes; Ruwan T Kurulugama; Vitara Pungpapong; Min Zhang; Zuzana Kyselova; Radoslav Goldman; Yehia Mechref; Milos V Novotny; David E Clemmer
Journal:  J Proteome Res       Date:  2011-12-30       Impact factor: 4.466

2.  Application of ESI-FAIMS-MS to the analysis of tryptic peptides.

Authors:  David A Barnett; Barbara Ells; Roger Guevremont; Randy W Purves
Journal:  J Am Soc Mass Spectrom       Date:  2002-11       Impact factor: 3.109

3.  Angiotensin II-acetylcholine noncovalent complexes analyzed with MALDI-ion mobility-TOF MS.

Authors:  Amina S Woods; Katrin Fuhrer; Marc Gonin; Tom Egan; Michael Ugarov; Kent J Gillig; J Albert Schultz
Journal:  J Biomol Tech       Date:  2003-03

4.  Assessing the peak capacity of IMS-IMS separations of tryptic peptide ions in He at 300 K.

Authors:  Samuel I Merenbloom; Brian C Bohrer; Stormy L Koeniger; David E Clemmer
Journal:  Anal Chem       Date:  2007-01-15       Impact factor: 6.986

5.  Large-scale collision cross-section profiling on a traveling wave ion mobility mass spectrometer.

Authors:  Christopher B Lietz; Qing Yu; Lingjun Li
Journal:  J Am Soc Mass Spectrom       Date:  2014-05-21       Impact factor: 3.109

6.  Comparison of Ambient and Atmospheric Pressure Ion Sources for Cystic Fibrosis Exhaled Breath Condensate Ion Mobility-Mass Spectrometry Metabolomics.

Authors:  Xiaoling Zang; José J Pérez; Christina M Jones; María Eugenia Monge; Nael A McCarty; Arlene A Stecenko; Facundo M Fernández
Journal:  J Am Soc Mass Spectrom       Date:  2017-03-31       Impact factor: 3.109

7.  Extracted Fragment Ion Mobility Distributions: A New Method for Complex Mixture Analysis.

Authors:  Sunyoung Lee; Zhiyu Li; Stephen J Valentine; Steven M Zucker; Nathaniel Webber; James P Reilly; David E Clemmer
Journal:  Int J Mass Spectrom       Date:  2012-01-01       Impact factor: 1.986

8.  Coulombic effects in ion mobility spectrometry.

Authors:  Aleksey V Tolmachev; Brian H Clowers; Mikhail E Belov; Richard D Smith
Journal:  Anal Chem       Date:  2009-06-15       Impact factor: 6.986

9.  Experimental evaluation and optimization of structures for lossless ion manipulations for ion mobility spectrometry with time-of-flight mass spectrometry.

Authors:  Ian K Webb; Sandilya V B Garimella; Aleksey V Tolmachev; Tsung-Chi Chen; Xinyu Zhang; Randolph V Norheim; Spencer A Prost; Brian LaMarche; Gordon A Anderson; Yehia M Ibrahim; Richard D Smith
Journal:  Anal Chem       Date:  2014-09-05       Impact factor: 6.986

10.  Deep learning the collisional cross sections of the peptide universe from a million experimental values.

Authors:  Florian Meier; Niklas D Köhler; Andreas-David Brunner; Jean-Marc H Wanka; Eugenia Voytik; Maximilian T Strauss; Fabian J Theis; Matthias Mann
Journal:  Nat Commun       Date:  2021-02-19       Impact factor: 14.919

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