Literature DB >> 22877222

The use of selected reaction monitoring in quantitative proteomics.

Stephen W Holman1, Paul F G Sims, Claire E Eyers.   

Abstract

Selected reaction monitoring (SRM) has a long history of use in the area of quantitative MS. In recent years, the approach has seen increased application to quantitative proteomics, facilitating multiplexed relative and absolute quantification studies in a variety of organisms. This article discusses SRM, after introducing the context of quantitative proteomics (specifically primarily absolute quantification) where it finds most application, and considers topics such as the theory and advantages of SRM, the selection of peptide surrogates for protein quantification, the design of optimal SRM co-ordinates and the handling of SRM data. A number of published studies are also discussed to demonstrate the impact that SRM has had on the field of quantitative proteomics.

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Year:  2012        PMID: 22877222     DOI: 10.4155/bio.12.126

Source DB:  PubMed          Journal:  Bioanalysis        ISSN: 1757-6180            Impact factor:   2.681


  18 in total

1.  Quantification of extracellular matrix proteins from a rat lung scaffold to provide a molecular readout for tissue engineering.

Authors:  Ryan C Hill; Elizabeth A Calle; Monika Dzieciatkowska; Laura E Niklason; Kirk C Hansen
Journal:  Mol Cell Proteomics       Date:  2015-02-08       Impact factor: 5.911

2.  Mass-Spectrometry-Based Method To Quantify in Parallel Tau and Amyloid β 1-42 in CSF for the Diagnosis of Alzheimer's Disease.

Authors:  Gwënaël Pottiez; Li Yang; Tessandra Stewart; Ning Song; Patrick Aro; Douglas R Galasko; Joseph F Quinn; Elaine R Peskind; Min Shi; Jing Zhang
Journal:  J Proteome Res       Date:  2017-02-07       Impact factor: 4.466

3.  The HUPO proteomics standards initiative- mass spectrometry controlled vocabulary.

Authors:  Gerhard Mayer; Luisa Montecchi-Palazzi; David Ovelleiro; Andrew R Jones; Pierre-Alain Binz; Eric W Deutsch; Matthew Chambers; Marius Kallhardt; Fredrik Levander; James Shofstahl; Sandra Orchard; Juan Antonio Vizcaíno; Henning Hermjakob; Christian Stephan; Helmut E Meyer; Martin Eisenacher
Journal:  Database (Oxford)       Date:  2013-03-12       Impact factor: 3.451

Review 4.  Analytical challenges translating mass spectrometry-based phosphoproteomics from discovery to clinical applications.

Authors:  Anton B Iliuk; Justine V Arrington; Weiguo Andy Tao
Journal:  Electrophoresis       Date:  2014-07-10       Impact factor: 3.535

5.  SWATH Based Quantitative Proteomics Reveals Significant Lipid Metabolism in Early Myopic Guinea Pig Retina.

Authors:  Jingfang Bian; Ying-Hon Sze; Dennis Yan-Yin Tse; Chi-Ho To; Sally A McFadden; Carly Siu-Yin Lam; King-Kit Li; Thomas Chuen Lam
Journal:  Int J Mol Sci       Date:  2021-04-29       Impact factor: 5.923

Review 6.  A proteomic approach to obesity and type 2 diabetes.

Authors:  Elena López-Villar; Gabriel Á Martos-Moreno; Julie A Chowen; Shigeru Okada; John J Kopchick; Jesús Argente
Journal:  J Cell Mol Med       Date:  2015-05-09       Impact factor: 5.310

Review 7.  Systems cell biology.

Authors:  Fred D Mast; Alexander V Ratushny; John D Aitchison
Journal:  J Cell Biol       Date:  2014-09-15       Impact factor: 10.539

8.  Direct and Absolute Quantification of over 1800 Yeast Proteins via Selected Reaction Monitoring.

Authors:  Craig Lawless; Stephen W Holman; Philip Brownridge; Karin Lanthaler; Victoria M Harman; Rachel Watkins; Dean E Hammond; Rebecca L Miller; Paul F G Sims; Christopher M Grant; Claire E Eyers; Robert J Beynon; Simon J Hubbard
Journal:  Mol Cell Proteomics       Date:  2016-01-10       Impact factor: 5.911

9.  Representation of selected-reaction monitoring data in the mzQuantML data standard.

Authors:  Da Qi; Craig Lawless; Johan Teleman; Fredrik Levander; Stephen W Holman; Simon Hubbard; Andrew R Jones
Journal:  Proteomics       Date:  2015-06-05       Impact factor: 3.984

10.  Ratiometric Measurements of Adiponectin by Mass Spectrometry in Bottlenose Dolphins (Tursiops truncatus) with Iron Overload Reveal an Association with Insulin Resistance and Glucagon.

Authors:  Benjamin A Neely; Kevin P Carlin; John M Arthur; Wayne E McFee; Michael G Janech
Journal:  Front Endocrinol (Lausanne)       Date:  2013-09-20       Impact factor: 5.555

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