Literature DB >> 19253278

How specific is my SRM?: The issue of precursor and product ion redundancy.

Jamie Sherman1, Matthew J McKay, Keith Ashman, Mark P Molloy.   

Abstract

Selected reaction monitoring (SRM) MS is proving to be a popular approach for targeted quantitative proteomics. The use of proteotypic peptides as candidates for SRM analysis is a wise first step in SRM method design. The obvious reason for this is the need to avoid redundancy at the sequence level, however this is incidental. The true reason is that homologous peptides result in redundancy in the mass-to-charge domain. This may seem like a trivial subtlety, however, we believe this is an issue of far greater significance than the proteomic community is aware. This VIEWPOINT article serves to highlight the complexity associated with designing SRM assays in light of potential ion redundancy.

Mesh:

Substances:

Year:  2009        PMID: 19253278     DOI: 10.1002/pmic.200800577

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  33 in total

1.  Targeted ion parking for the quantitation of biotherapeutic proteins: concepts and preliminary data.

Authors:  J Larry Campbell; J C Yves Le Blanc
Journal:  J Am Soc Mass Spectrom       Date:  2010-08-27       Impact factor: 3.109

2.  Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis.

Authors:  Ludovic C Gillet; Pedro Navarro; Stephen Tate; Hannes Röst; Nathalie Selevsek; Lukas Reiter; Ron Bonner; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-01-18       Impact factor: 5.911

3.  A computational tool to detect and avoid redundancy in selected reaction monitoring.

Authors:  Hannes Röst; Lars Malmström; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-04-24       Impact factor: 5.911

4.  Establishing ion ratio thresholds based on absolute peak area for absolute protein quantification using protein cleavage isotope dilution mass spectrometry.

Authors:  Philip L Loziuk; Ronald R Sederoff; Vincent L Chiang; David C Muddiman
Journal:  Analyst       Date:  2014-11-07       Impact factor: 4.616

5.  mProphet: automated data processing and statistical validation for large-scale SRM experiments.

Authors:  Lukas Reiter; Oliver Rinner; Paola Picotti; Ruth Hüttenhain; Martin Beck; Mi-Youn Brusniak; Michael O Hengartner; Ruedi Aebersold
Journal:  Nat Methods       Date:  2011-03-20       Impact factor: 28.547

Review 6.  Quantitative neuroproteomics: classical and novel tools for studying neural differentiation and function.

Authors:  Luca Colucci-D'Amato; Annarita Farina; Johannes P C Vissers; Angela Chambery
Journal:  Stem Cell Rev Rep       Date:  2011-03       Impact factor: 5.739

7.  Targeted Protein Quantification Using Parallel Reaction Monitoring (PRM).

Authors:  Katalin Barkovits; Weiqiang Chen; Michael Kohl; Thilo Bracht
Journal:  Methods Mol Biol       Date:  2021

8.  Rapid verification of candidate serological biomarkers using gel-based, label-free multiple reaction monitoring.

Authors:  Hsin-Yao Tang; Lynn A Beer; Kurt T Barnhart; David W Speicher
Journal:  J Proteome Res       Date:  2011-07-26       Impact factor: 4.466

9.  Targeted proteomic quantification on quadrupole-orbitrap mass spectrometer.

Authors:  Sebastien Gallien; Elodie Duriez; Catharina Crone; Markus Kellmann; Thomas Moehring; Bruno Domon
Journal:  Mol Cell Proteomics       Date:  2012-09-07       Impact factor: 5.911

10.  Parallel reaction monitoring for high resolution and high mass accuracy quantitative, targeted proteomics.

Authors:  Amelia C Peterson; Jason D Russell; Derek J Bailey; Michael S Westphall; Joshua J Coon
Journal:  Mol Cell Proteomics       Date:  2012-08-03       Impact factor: 5.911

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.