Literature DB >> 14692452

Nanoflow LC/ion mobility/CID/TOF for proteomics: analysis of a human urinary proteome.

Myeong Hee Moon1, Sunnie Myung, Manolo Plasencia, Amy E Hilderbrand, David E Clemmer.   

Abstract

A prototype linear octopole ion trap/ion mobility/tandem mass spectrometer has been coupled with a nanoflow liquid chromatography separation approach and used to separate and characterize a complicated peptide mixture from digestion of soluble proteins extracted from human urine. In this approach, two dimensions of separation (nanoflow liquid chromatography and ion mobility) are followed by collision induced dissociation (CID) and mass spectrometry (MS) analysis. From a preliminary analysis of the most intense CID-MS features in a part of the dataset, it is possible to assign 27 peptide ions which correspond to 13 proteins. The data contain many additional CID-MS features for less intense ions. A limited discussion of these features and their potential utility in identifying complicated peptide mixtures required for proteomics study is presented.

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Year:  2003        PMID: 14692452     DOI: 10.1021/pr034018v

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  16 in total

1.  Towards monitoring real-time cellular response using an integrated microfluidics-matrix assisted laser desorption ionisation/nanoelectrospray ionisation-ion mobility-mass spectrometry platform.

Authors:  J R Enders; C C Marasco; A Kole; B Nguyen; S Sevugarajan; K T Seale; J P Wikswo; J A McLean
Journal:  IET Syst Biol       Date:  2010-11       Impact factor: 1.615

2.  High-sensitivity ion mobility spectrometry/mass spectrometry using electrodynamic ion funnel interfaces.

Authors:  Keqi Tang; Alexandre A Shvartsburg; Hak-No Lee; David C Prior; Michael A Buschbach; Fumin Li; Aleksey V Tolmachev; Gordon A Anderson; Richard D Smith
Journal:  Anal Chem       Date:  2005-05-15       Impact factor: 6.986

3.  Feasibility of higher-order differential ion mobility separations using new asymmetric waveforms.

Authors:  Alexandre A Shvartsburg; Stefan V Mashkevich; Richard D Smith
Journal:  J Phys Chem A       Date:  2006-03-02       Impact factor: 2.781

4.  Improving the efficiency of IMS-IMS by a combing technique.

Authors:  Samuel I Merenbloom; Stormy L Koeniger; Brian C Bohrer; Stephen J Valentine; David E Clemmer
Journal:  Anal Chem       Date:  2008-02-22       Impact factor: 6.986

5.  Peak deconvolution in high-field asymmetric waveform ion mobility spectrometry (FAIMS) to characterize macromolecular conformations.

Authors:  Errol W Robinson; Rachel E Sellon; Evan R Williams
Journal:  Int J Mass Spectrom       Date:  2007-01-01       Impact factor: 1.986

6.  Enhancing bottom-up and top-down proteomic measurements with ion mobility separations.

Authors:  Erin Shammel Baker; Kristin E Burnum-Johnson; Yehia M Ibrahim; Daniel J Orton; Matthew E Monroe; Ryan T Kelly; Ronald J Moore; Xing Zhang; Roger Théberge; Catherine E Costello; Richard D Smith
Journal:  Proteomics       Date:  2015-07-03       Impact factor: 3.984

7.  Multiplexed peptide analysis using data-independent acquisition and Skyline.

Authors:  Jarrett D Egertson; Brendan MacLean; Richard Johnson; Yue Xuan; Michael J MacCoss
Journal:  Nat Protoc       Date:  2015-05-21       Impact factor: 13.491

8.  Using ion mobility data to improve peptide identification: intrinsic amino acid size parameters.

Authors:  Stephen J Valentine; Michael A Ewing; Jonathan M Dilger; Matthew S Glover; Scott Geromanos; Chris Hughes; David E Clemmer
Journal:  J Proteome Res       Date:  2011-04-01       Impact factor: 4.466

9.  An LC-IMS-MS platform providing increased dynamic range for high-throughput proteomic studies.

Authors:  Erin Shammel Baker; Eric A Livesay; Daniel J Orton; Ronald J Moore; William F Danielson; David C Prior; Yehia M Ibrahim; Brian L LaMarche; Anoop M Mayampurath; Athena A Schepmoes; Derek F Hopkins; Keqi Tang; Richard D Smith; Mikhail E Belov
Journal:  J Proteome Res       Date:  2010-02-05       Impact factor: 4.466

10.  Profiling of human serum glycans associated with liver cancer and cirrhosis by IMS-MS.

Authors:  D Isailovic; R T Kurulugama; M D Plasencia; S T Stokes; Z Kyselova; R Goldman; Y Mechref; M V Novotny; D E Clemmer
Journal:  J Proteome Res       Date:  2008-02-01       Impact factor: 4.466

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