Literature DB >> 23514362

Effects of traveling wave ion mobility separation on data independent acquisition in proteomics studies.

Pavel V Shliaha1, Nicholas J Bond, Laurent Gatto, Kathryn S Lilley.   

Abstract

qTOF mass spectrometry and traveling wave ion mobility separation (TWIMS) hybrid instruments (q-TWIMS-TOF) have recently become commercially available. Ion mobility separation allows an additional dimension of precursor separation inside the instrument, without incurring an increase in instrument time. We comprehensively investigated the effects of TWIMS on data-independent acquisition on a Synapt G2 instrument. We observed that if fragmentation is performed post TWIMS, more accurate assignment of fragment ions to precursors is possible in data independent acquisition. This allows up to 60% higher proteome coverage and higher confidence of protein and peptide identifications. Moreover, the majority of peptides and proteins identified upon application of TWIMS span the lower intensity range of the proteome. It has also been demonstrated in several studies that employing IMS results in higher peak capacity of separation and consequently more accurate and precise quantitation of lower intensity precursor ions. We observe that employing TWIMS results in an attenuation of the detected ion current. We postulate that this effect is binary; sensitivity is reduced due to ion scattering during transfer into a high pressure "IMS zone", sensitivity is reduced due to the saturation of detector digitizer as a result of the IMS concentration effect. This latter effect limits the useful linear range of quantitation, compromising quantitation accuracy of high intensity peptides. We demonstrate that the signal loss from detector saturation and transmission loss can be deconvoluted by investigation of the peptide isotopic envelope. We discuss the origin and extent of signal loss and suggest methods to minimize these effects on q-TWIMS-TOF instrument in the light of different experimental designs and other IMS/MS platforms described previously.

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Year:  2013        PMID: 23514362     DOI: 10.1021/pr300775k

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


  28 in total

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Review 2.  The power of ion mobility-mass spectrometry for structural characterization and the study of conformational dynamics.

Authors:  Francesco Lanucara; Stephen W Holman; Christopher J Gray; Claire E Eyers
Journal:  Nat Chem       Date:  2014-04       Impact factor: 24.427

3.  Label-free quantification in ion mobility-enhanced data-independent acquisition proteomics.

Authors:  Ute Distler; Jörg Kuharev; Pedro Navarro; Stefan Tenzer
Journal:  Nat Protoc       Date:  2016-03-24       Impact factor: 13.491

Review 4.  Fundamentals of Ion Mobility-Mass Spectrometry for the Analysis of Biomolecules.

Authors:  Caleb B Morris; James C Poland; Jody C May; John A McLean
Journal:  Methods Mol Biol       Date:  2020

Review 5.  Ion Mobility Collision Cross Section Compendium.

Authors:  Jody C May; Caleb B Morris; John A McLean
Journal:  Anal Chem       Date:  2016-12-28       Impact factor: 6.986

Review 6.  Review on ion mobility spectrometry. Part 2: hyphenated methods and effects of experimental parameters.

Authors:  R Cumeras; E Figueras; C E Davis; J I Baumbach; I Gràcia
Journal:  Analyst       Date:  2015-03-07       Impact factor: 4.616

7.  Ion mobility-enhanced MS(E)-based label-free analysis reveals effects of low-dose radiation post contextual fear conditioning training on the mouse hippocampal proteome.

Authors:  Lin Huang; Samanthi I Wickramasekara; Tunde Akinyeke; Blair S Stewart; Yuan Jiang; Jacob Raber; Claudia S Maier
Journal:  J Proteomics       Date:  2016-03-26       Impact factor: 4.044

8.  Towards Discovery and Targeted Peptide Biomarker Detection Using nanoESI-TIMS-TOF MS.

Authors:  Alyssa Garabedian; Paolo Benigni; Cesar E Ramirez; Erin S Baker; Tao Liu; Richard D Smith; Francisco Fernandez-Lima
Journal:  J Am Soc Mass Spectrom       Date:  2017-09-09       Impact factor: 3.109

Review 9.  Systems-Wide High-Dimensional Data Acquisition and Informatics Using Structural Mass Spectrometry Strategies.

Authors:  Stacy D Sherrod; John A McLean
Journal:  Clin Chem       Date:  2015-10-09       Impact factor: 8.327

10.  Using Skyline to Analyze Data-Containing Liquid Chromatography, Ion Mobility Spectrometry, and Mass Spectrometry Dimensions.

Authors:  Brendan X MacLean; Brian S Pratt; Jarrett D Egertson; Michael J MacCoss; Richard D Smith; Erin S Baker
Journal:  J Am Soc Mass Spectrom       Date:  2018-07-25       Impact factor: 3.109

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