Literature DB >> 21298787

Generic workflow for quality assessment of quantitative label-free LC-MS analysis.

Marianne Sandin1, Morten Krogh, Karin Hansson, Fredrik Levander.   

Abstract

As high-resolution instruments are becoming standard in proteomics laboratories, label-free quantification using precursor measurements is becoming a viable option, and is consequently rapidly gaining popularity. Several software solutions have been presented for label-free analysis, but to our knowledge no conclusive studies regarding the sensitivity and reliability of each step of the analysis procedure has been described. Here, we use real complex samples to assess the reliability of label-free quantification using four different software solutions. A generic approach to quality test quantitative label-free LC-MS is introduced. Measures for evaluation are defined for feature detection, alignment and quantification. All steps of the analysis could be considered adequately performed by the utilized software solutions, although differences and possibilities for improvement could be identified. The described method provides an effective testing procedure, which can help the user to quickly pinpoint where in the workflow changes are needed.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 21298787     DOI: 10.1002/pmic.201000493

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


  14 in total

1.  Absolute quantification of the glycolytic pathway in yeast: deployment of a complete QconCAT approach.

Authors:  Kathleen M Carroll; Deborah M Simpson; Claire E Eyers; Christopher G Knight; Philip Brownridge; Warwick B Dunn; Catherine L Winder; Karin Lanthaler; Pinar Pir; Naglis Malys; Douglas B Kell; Stephen G Oliver; Simon J Gaskell; Robert J Beynon
Journal:  Mol Cell Proteomics       Date:  2011-09-19       Impact factor: 5.911

2.  An adaptive alignment algorithm for quality-controlled label-free LC-MS.

Authors:  Marianne Sandin; Ashfaq Ali; Karin Hansson; Olle Månsson; Erik Andreasson; Svante Resjö; Fredrik Levander
Journal:  Mol Cell Proteomics       Date:  2013-01-09       Impact factor: 5.911

3.  The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments.

Authors:  Jonathon J O'Brien; Harsha P Gunawardena; Joao A Paulo; Xian Chen; Joseph G Ibrahim; Steven P Gygi; Bahjat F Qaqish
Journal:  Ann Appl Stat       Date:  2018-11-13       Impact factor: 2.083

4.  Proteomic Analysis of Phytophthora infestans Reveals the Importance of Cell Wall Proteins in Pathogenicity.

Authors:  Svante Resjö; Maja Brus; Ashfaq Ali; Harold J G Meijer; Marianne Sandin; Francine Govers; Fredrik Levander; Laura Grenville-Briggs; Erik Andreasson
Journal:  Mol Cell Proteomics       Date:  2017-09-21       Impact factor: 5.911

5.  Comparative analysis of different label-free mass spectrometry based protein abundance estimates and their correlation with RNA-Seq gene expression data.

Authors:  Kang Ning; Damian Fermin; Alexey I Nesvizhskii
Journal:  J Proteome Res       Date:  2012-02-29       Impact factor: 4.466

6.  Automated selected reaction monitoring software for accurate label-free protein quantification.

Authors:  Johan Teleman; Christofer Karlsson; Sofia Waldemarson; Karin Hansson; Peter James; Johan Malmström; Fredrik Levander
Journal:  J Proteome Res       Date:  2012-06-14       Impact factor: 4.466

Review 7.  Current challenges in software solutions for mass spectrometry-based quantitative proteomics.

Authors:  Salvatore Cappadona; Peter R Baker; Pedro R Cutillas; Albert J R Heck; Bas van Breukelen
Journal:  Amino Acids       Date:  2012-07-22       Impact factor: 3.520

Review 8.  Applications of mass spectrometry for quantitative protein analysis in formalin-fixed paraffin-embedded tissues.

Authors:  Carine Steiner; Axel Ducret; Jean-Christophe Tille; Marlene Thomas; Thomas A McKee; Laura Rubbia-Brandt; Alexander Scherl; Pierre Lescuyer; Paul Cutler
Journal:  Proteomics       Date:  2014-03       Impact factor: 3.984

9.  Proteomics and transcriptomics of the BABA-induced resistance response in potato using a novel functional annotation approach.

Authors:  Therese Bengtsson; Deborah Weighill; Estelle Proux-Wéra; Fredrik Levander; Svante Resjö; Dharani Dhar Burra; Laith Ibrahim Moushib; Pete E Hedley; Erland Liljeroth; Dan Jacobson; Erik Alexandersson; Erik Andreasson
Journal:  BMC Genomics       Date:  2014-04-28       Impact factor: 3.969

10.  Dinosaur: A Refined Open-Source Peptide MS Feature Detector.

Authors:  Johan Teleman; Aakash Chawade; Marianne Sandin; Fredrik Levander; Johan Malmström
Journal:  J Proteome Res       Date:  2016-06-08       Impact factor: 4.466

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