Literature DB >> 27010757

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

Ute Distler1,2, Jörg Kuharev1, Pedro Navarro1, Stefan Tenzer1.   

Abstract

Unbiased data-independent acquisition (DIA) strategies have gained increased popularity in the field of quantitative proteomics. The integration of ion mobility separation (IMS) into DIA workflows provides an additional dimension of separation to liquid chromatography-mass spectrometry (LC-MS), and it increases the achievable analytical depth of DIA approaches. Here we provide a detailed protocol for a label-free quantitative proteomics workflow based on ion mobility-enhanced DIA, which synchronizes precursor ion drift times with collision energies to improve precursor fragmentation efficiency. The protocol comprises a detailed description of all major steps including instrument setup, filter-aided sample preparation, LC-IMS-MS analysis and data processing. Our protocol can handle proteome samples of any complexity, and it enables a highly reproducible and accurate precursor intensity-based label-free quantification of up to 5,600 proteins across multiple runs in complete cellular lysates. Depending on the number of samples to be analyzed, the protocol takes a minimum of 3 d to complete from proteolytic digestion to data evaluation.

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Year:  2016        PMID: 27010757     DOI: 10.1038/nprot.2016.042

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  58 in total

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4.  More than 100,000 detectable peptide species elute in single shotgun proteomics runs but the majority is inaccessible to data-dependent LC-MS/MS.

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

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7.  One-hour proteome analysis in yeast.

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8.  Characterizing ion mobility-mass spectrometry conformation space for the analysis of complex biological samples.

Authors:  Larissa S Fenn; Michal Kliman; Ablatt Mahsut; Sophie R Zhao; John A McLean
Journal:  Anal Bioanal Chem       Date:  2009-02-27       Impact factor: 4.142

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  72 in total

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Journal:  Mol Cell Proteomics       Date:  2019-05-16       Impact factor: 5.911

2.  High-speed Analysis of Large Sample Sets - How Can This Key Aspect of the Omics Be Achieved?

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4.  Human Blood Plasma Investigation Employing 2D UPLC-UDMSE Data-Independent Acquisition Proteomics.

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6.  Purification and Characterization of Trehalase From Acyrthosiphon pisum, a Target for Pest Control.

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

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Review 8.  Comparative evaluation of two methods for LC-MS/MS proteomic analysis of formalin fixed and paraffin embedded tissues.

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9.  Epigenetic reprogramming enhances the therapeutic efficacy of osteoblast-derived extracellular vesicles to promote human bone marrow stem cell osteogenic differentiation.

Authors:  Kenny Man; Mathieu Y Brunet; Maria Fernandez-Rhodes; Soraya Williams; Liam M Heaney; Lee A Gethings; Angelica Federici; Owen G Davies; David Hoey; Sophie C Cox
Journal:  J Extracell Vesicles       Date:  2021-07-07

10.  Amino Acid Metabolomic Profiles in Bovine Mammary Epithelial Cells under Essential Amino Acid Restriction.

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