Literature DB >> 26537636

Reagent for Evaluating Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) Performance in Bottom-Up Proteomic Experiments.

Joshua Beri1, Michael M Rosenblatt2, Ethan Strauss2, Marjeta Urh2, Michael S Bereman1,3.   

Abstract

We present a novel proteomic standard for assessing liquid chromatography-tandem mass spectrometry (LC-MS/MS) instrument performance, in terms of chromatographic reproducibility and dynamic range within a single LC-MS/MS injection. The peptide mixture standard consists of six peptides that were specifically synthesized to cover a wide range of hydrophobicities (grand average hydropathy (GRAVY) scores of -0.6 to 1.9). A combination of stable isotope labeled amino acids ((13)C and (15)N) were inserted to create five isotopologues. By combining these isotopologues at different ratios, they span four orders of magnitude within each distinct peptide sequence. Each peptide, from lightest to heaviest, increases in abundance by a factor of 10. We evaluate several metrics on our quadrupole orbitrap instrument using the 6 × 5 LC-MS/MS reference mixture spiked into a complex lysate background as a function of dynamic range, including mass measurement accuracy (MMA) and the linear range of quantitation of MS1 and parallel reaction monitoring experiments. Detection and linearity of the instrument routinely spanned three orders of magnitude across the gradient (500 fmol to 0.5 fmol on column) and no systematic trend was observed for MMA of targeted peptides as a function of abundance by analysis of variance analysis (p = 0.17). Detection and linearity of the fifth isotopologue (i.e., 0.05 fmol on column) was dependent on the peptide and instrument scan type (MS1 vs PRM). We foresee that this standard will serve as a powerful method to conduct both intra-instrument performance monitoring/evaluation, technology development, and inter-instrument comparisons.

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Year:  2015        PMID: 26537636     DOI: 10.1021/acs.analchem.5b04121

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  4 in total

Review 1.  Protein biomarkers for subtyping breast cancer and implications for future research.

Authors:  Claudius Mueller; Amanda Haymond; Justin B Davis; Alexa Williams; Virginia Espina
Journal:  Expert Rev Proteomics       Date:  2018-01-03       Impact factor: 3.940

2.  Exposure to BMAA mirrors molecular processes linked to neurodegenerative disease.

Authors:  Joshua Beri; Tara Nash; Rubia M Martin; Michael S Bereman
Journal:  Proteomics       Date:  2017-08-24       Impact factor: 3.984

3.  An Automated Pipeline to Monitor System Performance in Liquid Chromatography-Tandem Mass Spectrometry Proteomic Experiments.

Authors:  Michael S Bereman; Joshua Beri; Vagisha Sharma; Cory Nathe; Josh Eckels; Brendan MacLean; Michael J MacCoss
Journal:  J Proteome Res       Date:  2016-10-04       Impact factor: 4.466

Review 4.  Insights Into the Proteomic Profiling of Extracellular Vesicles for the Identification of Early Biomarkers of Neurodegeneration.

Authors:  Ricardo Quiroz-Baez; Karina Hernández-Ortega; Eduardo Martínez-Martínez
Journal:  Front Neurol       Date:  2020-12-11       Impact factor: 4.003

  4 in total

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