Literature DB >> 24206228

Recent advances in mass spectrometry: data independent analysis and hyper reaction monitoring.

Kai Pong Law1, Yoon Pin Lim.   

Abstract

New mass spectrometry (MS) methods, collectively known as data independent analysis and hyper reaction monitoring, have recently emerged. These methods hold promises to address the shortcomings of data-dependent analysis and selected reaction monitoring (SRM) employed in shotgun and targeted proteomics, respectively. They allow MS analyses of all species in a complex sample indiscriminately, or permit SRM-like experiments conducted with full high-resolution product ion spectra, potentially leading to higher sequence coverage or analytical selectivity. These methods include MS(E), all-ion fragmentation, Fourier transform-all reaction monitoring, SWATH Acquisition, multiplexed MS/MS, pseudo-SRM (pSRM) and parallel reaction monitoring (PRM). In this review, the strengths and pitfalls of these methods are discussed and illustrated with examples. In essence, the suitability of the use of each method is contingent on the biological questions posed. Although these methods do not fundamentally change the shape of proteomics, they are useful additional tools that should expedite biological discoveries.

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Year:  2013        PMID: 24206228     DOI: 10.1586/14789450.2013.858022

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  39 in total

Review 1.  A Biologist's Field Guide to Multiplexed Quantitative Proteomics.

Authors:  Corey E Bakalarski; Donald S Kirkpatrick
Journal:  Mol Cell Proteomics       Date:  2016-02-12       Impact factor: 5.911

2.  Online Peptide fractionation using a multiphasic microfluidic liquid chromatography chip improves reproducibility and detection limits for quantitation in discovery and targeted proteomics.

Authors:  Christoph Krisp; Hao Yang; Remco van Soest; Mark P Molloy
Journal:  Mol Cell Proteomics       Date:  2015-04-07       Impact factor: 5.911

Review 3.  DNA adducts: Formation, biological effects, and new biospecimens for mass spectrometric measurements in humans.

Authors:  Byeong Hwa Yun; Jingshu Guo; Medjda Bellamri; Robert J Turesky
Journal:  Mass Spectrom Rev       Date:  2018-06-11       Impact factor: 10.946

4.  Targeted Annotation of S-Sulfonylated Peptides by Selective Infrared Multiphoton Dissociation Mass Spectrometry.

Authors:  Nicholas B Borotto; Phillip J McClory; Brent R Martin; Kristina Håkansson
Journal:  Anal Chem       Date:  2017-08-01       Impact factor: 6.986

Review 5.  Proteomics in Inflammatory Bowel Disease: Approach Using Animal Models.

Authors:  Fadi H Mourad; Yunki Yau; Valerie C Wasinger; Rupert W Leong
Journal:  Dig Dis Sci       Date:  2017-07-17       Impact factor: 3.199

6.  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

7.  Quantification of SAHA-Dependent Changes in Histone Modifications Using Data-Independent Acquisition Mass Spectrometry.

Authors:  Kimberly A Krautkramer; Lukas Reiter; John M Denu; James A Dowell
Journal:  J Proteome Res       Date:  2015-07-13       Impact factor: 4.466

8.  Parallel reaction monitoring (PRM) and selected reaction monitoring (SRM) exhibit comparable linearity, dynamic range and precision for targeted quantitative HDL proteomics.

Authors:  Graziella E Ronsein; Nathalie Pamir; Priska D von Haller; Daniel S Kim; Michael N Oda; Gail P Jarvik; Tomas Vaisar; Jay W Heinecke
Journal:  J Proteomics       Date:  2014-10-31       Impact factor: 4.044

Review 9.  Analysis of Major Histocompatibility Complex (MHC) Immunopeptidomes Using Mass Spectrometry.

Authors:  Etienne Caron; Daniel J Kowalewski; Ching Chiek Koh; Theo Sturm; Heiko Schuster; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2015-12       Impact factor: 5.911

10.  Label-free protein quantification for plant Golgi protein localization and abundance.

Authors:  Nino Nikolovski; Pavel V Shliaha; Laurent Gatto; Paul Dupree; Kathryn S Lilley
Journal:  Plant Physiol       Date:  2014-08-13       Impact factor: 8.340

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