Literature DB >> 25982386

Multicenter experiment for quality control of peptide-centric LC-MS/MS analysis - A longitudinal performance assessment with nLC coupled to orbitrap MS analyzers.

Alex Campos1, Ramón Díaz2, Salvador Martínez-Bartolomé3, Jose Sierra4, Oscar Gallardo5, Eduard Sabidó6, Maria López-Lucendo7, J Ignacio Casal7, Carla Pasquarello8, Alexander Scherl9, Cristina Chiva6, Eva Borras6, Antonia Odena2, Félix Elortza10, Mikel Azkargorta10, Nieves Ibarrola11, Francesc Canals12, Juan P Albar3, Eliandre Oliveira2.   

Abstract

Proteomic technologies based on mass spectrometry (MS) have greatly evolved in the past years, and nowadays it is possible to routinely identify thousands of peptides from complex biological samples in a single LC-MS/MS experiment. Despite the advancements in proteomic technologies, the scientific community still faces important challenges in terms of depth and reproducibility of proteomics analyses. Here, we present a multicenter study designed to evaluate long-term performance of LC-MS/MS platforms within the Spanish Proteomics Facilities Network (ProteoRed-ISCIII). The study was performed under well-established standard operating procedures, and demonstrated that it is possible to attain qualitative and quantitative reproducibility over time. Our study highlights the importance of deploying quality assessment metrics routinely in individual laboratories and in multi-laboratory studies. The mass spectrometry data have been deposited to the ProteomeXchange Consortium with the data set identifier PXD000205.This article is part of a Special Issue entitled: HUPO 2014.
Copyright © 2015 Elsevier B.V. All rights reserved.

Keywords:  LC-MS/MS performance; Quality control; Reproducibility; Yeast

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Year:  2015        PMID: 25982386     DOI: 10.1016/j.jprot.2015.05.012

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  4 in total

1.  The 2012/2013 ABRF Proteomic Research Group Study: Assessing Longitudinal Intralaboratory Variability in Routine Peptide Liquid Chromatography Tandem Mass Spectrometry Analyses.

Authors:  Keiryn L Bennett; Xia Wang; Cory E Bystrom; Matthew C Chambers; Tracy M Andacht; Larry J Dangott; Félix Elortza; John Leszyk; Henrik Molina; Robert L Moritz; Brett S Phinney; J Will Thompson; Maureen K Bunger; David L Tabb
Journal:  Mol Cell Proteomics       Date:  2015-10-04       Impact factor: 5.911

2.  The Clinical Significance of Glycoprotein Phospholipase D Levels in Distinguishing Early Stage Latent Autoimmune Diabetes in Adults and Type 2 Diabetes.

Authors:  Wen Qin; Yu-Zhen Liang; Bao-Yu Qin; Jia-Li Zhang; Ning Xia
Journal:  PLoS One       Date:  2016-06-28       Impact factor: 3.240

3.  QCloud: A cloud-based quality control system for mass spectrometry-based proteomics laboratories.

Authors:  Cristina Chiva; Roger Olivella; Eva Borràs; Guadalupe Espadas; Olga Pastor; Amanda Solé; Eduard Sabidó
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

4.  Round robin study of formalin-fixed paraffin-embedded tissues in mass spectrometry imaging.

Authors:  Achim Buck; Bram Heijs; Birte Beine; Jan Schepers; Alberto Cassese; Ron M A Heeren; Liam A McDonnell; Corinna Henkel; Axel Walch; Benjamin Balluff
Journal:  Anal Bioanal Chem       Date:  2018-07-03       Impact factor: 4.142

  4 in total

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