Parallel reaction monitoring using quadrupole‐Orbitrap mass spectrometer: Principle and applications

Targeted mass spectrometry‐based approaches are nowadays widely used for quantitative proteomics studies and more recently have been implemented on high resolution/accurate mass (HRAM) instruments resulting in a considerable performance improvement. More specifically, the parallel reaction monitoring technique (PRM) performed on quadrupole‐Orbitrap mass spectrometers, leveraging the high resolution and trapping capabilities of the instrument, offers a clear advantage over the conventional selected reaction monitoring (SRM) measurements executed on triple quadrupole instruments. Analyses performed in HRAM mode allow for an improved discrimination between signals derived from analytes and those resulting from matrix interferences translating in the reliable quantification of low abundance components. The purpose of the study defines various implementation schemes of PRM, namely: (i) exploratory experiments assessing the detectability of very large sets of peptides (100–1000), (ii) wide‐screen analyses using (crude) internal standards to obtain statistically meaningful (relative) quantitative analyses, and (iii) precise/accurate quantification of a limited number of analytes using calibrated internal standards. Each of the three implementation schemes requires specific acquisition methods with defined parameters to appropriately control the acquisition during the actual peptide elution. This tutorial describes the different PRM approaches and discusses their benefits and limitations in terms of quantification performance and confidence in analyte identification.

[1]  B. Ueberheide,et al.  Detection and correction of interference in SRM analysis. , 2013, Methods.

[2]  D. Scott,et al.  Optimization and testing of mass spectral library search algorithms for compound identification , 1994, Journal of the American Society for Mass Spectrometry.

[3]  Stefani N. Thomas,et al.  Multiplexed Targeted Mass Spectrometry-Based Assays for the Quantification of N-Linked Glycosite-Containing Peptides in Serum. , 2015, Analytical chemistry.

[4]  Susan E. Abbatiello,et al.  Targeted Peptide Measurements in Biology and Medicine: Best Practices for Mass Spectrometry-based Assay Development Using a Fit-for-Purpose Approach* , 2014, Molecular & Cellular Proteomics.

[5]  Ruedi Aebersold,et al.  Options and considerations when selecting a quantitative proteomics strategy , 2010, Nature Biotechnology.

[6]  Matthew J. Rardin,et al.  Multiplexed, Scheduled, High-Resolution Parallel Reaction Monitoring on a Full Scan QqTOF Instrument with Integrated Data-Dependent and Targeted Mass Spectrometric Workflows. , 2015, Analytical chemistry.

[7]  Andrew R. Jones,et al.  ProteomeXchange provides globally co-ordinated proteomics data submission and dissemination , 2014, Nature Biotechnology.

[8]  Bruno Domon,et al.  Selectivity of LC-MS/MS analysis: implication for proteomics experiments. , 2013, Journal of proteomics.

[9]  Adele Bourmaud,et al.  Technical considerations for large-scale parallel reaction monitoring analysis. , 2014, Journal of proteomics.

[10]  Derek J. Bailey,et al.  The One Hour Yeast Proteome* , 2013, Molecular & Cellular Proteomics.

[11]  Susan E Abbatiello,et al.  Automated detection of inaccurate and imprecise transitions in peptide quantification by multiple reaction monitoring mass spectrometry. , 2010, Clinical chemistry.

[12]  G. Jarvik,et al.  Parallel reaction monitoring (PRM) and selected reaction monitoring (SRM) exhibit comparable linearity, dynamic range and precision for targeted quantitative HDL proteomics. , 2015, Journal of proteomics.

[13]  Bruno Domon,et al.  Large-Scale Targeted Proteomics Using Internal Standard Triggered-Parallel Reaction Monitoring (IS-PRM)* , 2015, Molecular & Cellular Proteomics.

[14]  Alexander Makarov,et al.  Dynamic range of mass accuracy in LTQ orbitrap hybrid mass spectrometer , 2006, Journal of the American Society for Mass Spectrometry.

[15]  Johannes Griss,et al.  The Proteomics Identifications (PRIDE) database and associated tools: status in 2013 , 2012, Nucleic Acids Res..

[16]  B. Domon,et al.  Screening protein isoforms predictive for cancer using immunoaffinity capture and fast LC‐MS in PRM mode , 2015, Proteomics. Clinical applications.

[17]  R. Aebersold,et al.  High Sensitivity Detection of Plasma Proteins by Multiple Reaction Monitoring of N-Glycosites*S , 2007, Molecular & Cellular Proteomics.

[18]  M. Mann,et al.  Deep and Highly Sensitive Proteome Coverage by LC-MS/MS Without Prefractionation* , 2011, Molecular & Cellular Proteomics.

[19]  Brendan MacLean,et al.  Skyline: an open source document editor for creating and analyzing targeted proteomics experiments , 2010, Bioinform..

[20]  Deepak R. Mani,et al.  Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics , 2012, BMC Bioinformatics.

[21]  Hikaru Tsuchiya,et al.  The parallel reaction monitoring method contributes to a highly sensitive polyubiquitin chain quantification. , 2013, Biochemical and biophysical research communications.

[22]  Mark P. Molloy,et al.  How specific is my SRM?: The issue of precursor and product ion redundancy , 2009, Proteomics.

[23]  Ludovic C. Gillet,et al.  Quantitative measurements of N‐linked glycoproteins in human plasma by SWATH‐MS , 2013, Proteomics.

[24]  V. Marx Targeted proteomics , 2013, Nature Methods.

[25]  J. Yates,et al.  Large-scale analysis of the yeast proteome by multidimensional protein identification technology , 2001, Nature Biotechnology.

[26]  R. Aebersold,et al.  mProphet: automated data processing and statistical validation for large-scale SRM experiments , 2011, Nature Methods.

[27]  B. Domon,et al.  Quantitative proteomics using the high resolution accurate mass capabilities of the quadrupole-orbitrap mass spectrometer. , 2014, Bioanalysis.

[28]  Jürgen Cox,et al.  A systematic investigation into the nature of tryptic HCD spectra. , 2012, Journal of proteome research.

[29]  R. Yost,et al.  Triple quadrupole mass spectrometry for direct mixture analysis and structure elucidation. , 1979, Analytical chemistry.

[30]  I. Vidavsky,et al.  Comparing similar spectra: From similarity index to spectral contrast angle , 2002, Journal of the American Society for Mass Spectrometry.

[31]  D. Liebler,et al.  Quantitative profiling of protein tyrosine kinases in human cancer cell lines by multiplexed parallel reaction monitoring assays , 2015, Molecular & Cellular Proteomics.

[32]  Ludovic C. Gillet,et al.  Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis* , 2012, Molecular & Cellular Proteomics.

[33]  P. Mallick,et al.  Peptide Identification from Mixture Tandem Mass Spectra* , 2010, Molecular & Cellular Proteomics.

[34]  Joshua E. Elias,et al.  Evaluation of multidimensional chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) for large-scale protein analysis: the yeast proteome. , 2003, Journal of proteome research.

[35]  John D. Venable,et al.  Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra , 2004, Nature Methods.

[36]  Gennifer E. Merrihew,et al.  Deconvolution of mixture spectra from ion-trap data-independent-acquisition tandem mass spectrometry. , 2010, Analytical chemistry.

[37]  B. Domon,et al.  Quantification of SAA1 and SAA2 in lung cancer plasma using the isotype‐specific PRM assays , 2015, Proteomics.

[38]  Bruno Domon,et al.  Targeted proteomics strategy applied to biomarker evaluation , 2013, Proteomics. Clinical applications.

[39]  Darryl B. Hardie,et al.  Advances in multiplexed MRM-based protein biomarker quantitation toward clinical utility. , 2014, Biochimica et biophysica acta.

[40]  Allan R Brasier,et al.  Multiplexed parallel reaction monitoring targeting histone modifications on the QExactive mass spectrometer. , 2014, Analytical chemistry.

[41]  Derek J. Bailey,et al.  Parallel Reaction Monitoring for High Resolution and High Mass Accuracy Quantitative, Targeted Proteomics* , 2012, Molecular & Cellular Proteomics.

[42]  Bruno Domon,et al.  Longitudinal Urinary Protein Variability in Participants of the Space Flight Simulation Program. , 2016, Journal of proteome research.

[43]  B. Simons,et al.  Performance characteristics of a new hybrid quadrupole time-of-flight tandem mass spectrometer (TripleTOF 5600). , 2011, Analytical chemistry.

[44]  B. Domon,et al.  Targeted Proteomic Quantification on Quadrupole-Orbitrap Mass Spectrometer* , 2012, Molecular & Cellular Proteomics.

[45]  B. Domon,et al.  Detection and quantification of proteins in clinical samples using high resolution mass spectrometry. , 2015, Methods.

[46]  M. Mann,et al.  System-wide Perturbation Analysis with Nearly Complete Coverage of the Yeast Proteome by Single-shot Ultra HPLC Runs on a Bench Top Orbitrap* , 2011, Molecular & Cellular Proteomics.

[47]  Jesper V Olsen,et al.  Rapid and deep proteomes by faster sequencing on a benchtop quadrupole ultra-high-field Orbitrap mass spectrometer. , 2014, Journal of proteome research.

[48]  Allison Doerr Mass spectrometry–based targeted proteomics , 2012, Nature Methods.