Literature DB >> 26719571

Recommendations for the Generation, Quantification, Storage, and Handling of Peptides Used for Mass Spectrometry-Based Assays.

Andrew N Hoofnagle1, Jeffrey R Whiteaker2, Steven A Carr3, Eric Kuhn3, Tao Liu4, Sam A Massoni5, Stefani N Thomas6, R Reid Townsend7, Lisa J Zimmerman8, Emily Boja9, Jing Chen6, Daniel L Crimmins7, Sherri R Davies7, Yuqian Gao4, Tara R Hiltke9, Karen A Ketchum10, Christopher R Kinsinger9, Mehdi Mesri9, Matthew R Meyer7, Wei-Jun Qian4, Regine M Schoenherr2, Mitchell G Scott7, Tujin Shi4, Gordon R Whiteley11, John A Wrobel12, Chaochao Wu4, Brad L Ackermann13, Ruedi Aebersold14, David R Barnidge15, David M Bunk16, Nigel Clarke17, Jordan B Fishman18, Russ P Grant19, Ulrike Kusebauch20, Mark M Kushnir21, Mark S Lowenthal16, Robert L Moritz20, Hendrik Neubert22, Scott D Patterson23, Alan L Rockwood21, John Rogers24, Ravinder J Singh15, Jennifer E Van Eyk25, Steven H Wong26, Shucha Zhang27, Daniel W Chan6, Xian Chen12, Matthew J Ellis28, Daniel C Liebler8, Karin D Rodland4, Henry Rodriguez9, Richard D Smith4, Zhen Zhang6, Hui Zhang6, Amanda G Paulovich29.   

Abstract

BACKGROUND: For many years, basic and clinical researchers have taken advantage of the analytical sensitivity and specificity afforded by mass spectrometry in the measurement of proteins. Clinical laboratories are now beginning to deploy these work flows as well. For assays that use proteolysis to generate peptides for protein quantification and characterization, synthetic stable isotope-labeled internal standard peptides are of central importance. No general recommendations are currently available surrounding the use of peptides in protein mass spectrometric assays. CONTENT: The Clinical Proteomic Tumor Analysis Consortium of the National Cancer Institute has collaborated with clinical laboratorians, peptide manufacturers, metrologists, representatives of the pharmaceutical industry, and other professionals to develop a consensus set of recommendations for peptide procurement, characterization, storage, and handling, as well as approaches to the interpretation of the data generated by mass spectrometric protein assays. Additionally, the importance of carefully characterized reference materials-in particular, peptide standards for the improved concordance of amino acid analysis methods across the industry-is highlighted. The alignment of practices around the use of peptides and the transparency of sample preparation protocols should allow for the harmonization of peptide and protein quantification in research and clinical care.
© 2015 American Association for Clinical Chemistry.

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Year:  2016        PMID: 26719571      PMCID: PMC4830481          DOI: 10.1373/clinchem.2015.250563

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  72 in total

Review 1.  Analytical procedures for quantification of peptides in pharmaceutical research by liquid chromatography-mass spectrometry.

Authors:  Harald John; Michael Walden; Sandra Schäfer; Sandra Genz; Wolf-Georg Forssmann
Journal:  Anal Bioanal Chem       Date:  2003-11-28       Impact factor: 4.142

2.  Isotope dilution liquid chromatography-tandem mass spectrometry for quantitative amino acid analysis.

Authors:  David M Bunk; Mark S Lowenthal
Journal:  Methods Mol Biol       Date:  2012

3.  Computational prediction of proteotypic peptides for quantitative proteomics.

Authors:  Parag Mallick; Markus Schirle; Sharon S Chen; Mark R Flory; Hookeun Lee; Daniel Martin; Jeffrey Ranish; Brian Raught; Robert Schmitt; Thilo Werner; Bernhard Kuster; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2006-12-31       Impact factor: 54.908

4.  Toward Système International d'Unité-traceable protein quantification: from amino acids to proteins.

Authors:  William I Burkitt; Caroline Pritchard; Cristian Arsene; André Henrion; David Bunk; Gavin O'Connor
Journal:  Anal Biochem       Date:  2008-02-19       Impact factor: 3.365

5.  Automated detection of inaccurate and imprecise transitions in peptide quantification by multiple reaction monitoring mass spectrometry.

Authors:  Susan E Abbatiello; D R Mani; Hasmik Keshishian; Steven A Carr
Journal:  Clin Chem       Date:  2009-12-18       Impact factor: 8.327

6.  Abundance-based classifier for the prediction of mass spectrometric peptide detectability upon enrichment (PPA).

Authors:  Jan Muntel; Sarah A Boswell; Shaojun Tang; Saima Ahmed; Ilan Wapinski; Greg Foley; Hanno Steen; Michael Springer
Journal:  Mol Cell Proteomics       Date:  2014-12-03       Impact factor: 5.911

7.  Large-Scale Interlaboratory Study to Develop, Analytically Validate and Apply Highly Multiplexed, Quantitative Peptide Assays to Measure Cancer-Relevant Proteins in Plasma.

Authors:  Susan E Abbatiello; Birgit Schilling; D R Mani; Lisa J Zimmerman; Steven C Hall; Brendan MacLean; Matthew Albertolle; Simon Allen; Michael Burgess; Michael P Cusack; Mousumi Gosh; Victoria Hedrick; Jason M Held; H Dorota Inerowicz; Angela Jackson; Hasmik Keshishian; Christopher R Kinsinger; John Lyssand; Lee Makowski; Mehdi Mesri; Henry Rodriguez; Paul Rudnick; Pawel Sadowski; Nell Sedransk; Kent Shaddox; Stephen J Skates; Eric Kuhn; Derek Smith; Jeffery R Whiteaker; Corbin Whitwell; Shucha Zhang; Christoph H Borchers; Susan J Fisher; Bradford W Gibson; Daniel C Liebler; Michael J MacCoss; Thomas A Neubert; Amanda G Paulovich; Fred E Regnier; Paul Tempst; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2015-02-18       Impact factor: 5.911

8.  Anti-peptide monoclonal antibodies generated for immuno-multiple reaction monitoring-mass spectrometry assays have a high probability of supporting Western blot and ELISA.

Authors:  Regine M Schoenherr; Richard G Saul; Jeffrey R Whiteaker; Ping Yan; Gordon R Whiteley; Amanda G Paulovich
Journal:  Mol Cell Proteomics       Date:  2014-12-15       Impact factor: 5.911

9.  Targeted peptide measurements in biology and medicine: best practices for mass spectrometry-based assay development using a fit-for-purpose approach.

Authors:  Steven A Carr; Susan E Abbatiello; Bradley L Ackermann; Christoph Borchers; Bruno Domon; Eric W Deutsch; Russell P Grant; Andrew N Hoofnagle; Ruth Hüttenhain; John M Koomen; Daniel C Liebler; Tao Liu; Brendan MacLean; D R Mani; Elizabeth Mansfield; Hendrik Neubert; Amanda G Paulovich; Lukas Reiter; Olga Vitek; Ruedi Aebersold; Leigh Anderson; Robert Bethem; Josip Blonder; Emily Boja; Julianne Botelho; Michael Boyne; Ralph A Bradshaw; Alma L Burlingame; Daniel Chan; Hasmik Keshishian; Eric Kuhn; Christopher Kinsinger; Jerry S H Lee; Sang-Won Lee; Robert Moritz; Juan Oses-Prieto; Nader Rifai; James Ritchie; Henry Rodriguez; Pothur R Srinivas; R Reid Townsend; Jennifer Van Eyk; Gordon Whiteley; Arun Wiita; Susan Weintraub
Journal:  Mol Cell Proteomics       Date:  2014-01-17       Impact factor: 5.911

10.  Prediction of peptides observable by mass spectrometry applied at the experimental set level.

Authors:  William S Sanders; Susan M Bridges; Fiona M McCarthy; Bindu Nanduri; Shane C Burgess
Journal:  BMC Bioinformatics       Date:  2007-11-01       Impact factor: 3.169

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  66 in total

1.  Domain-specific Quantification of Prion Protein in Cerebrospinal Fluid by Targeted Mass Spectrometry.

Authors:  Eric Vallabh Minikel; Eric Kuhn; Alexandra R Cocco; Sonia M Vallabh; Christina R Hartigan; Andrew G Reidenbach; Jiri G Safar; Gregory J Raymond; Michael D McCarthy; Rhonda O'Keefe; Franc Llorens; Inga Zerr; Sabina Capellari; Piero Parchi; Stuart L Schreiber; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2019-09-26       Impact factor: 5.911

2.  Detailed Method for Performing the ExSTA Approach in Quantitative Bottom-Up Plasma Proteomics.

Authors:  Andrew J Percy; Christoph H Borchers
Journal:  Methods Mol Biol       Date:  2021

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

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

4.  Development of an antibody-free ID-LC MS method for the quantification of procalcitonin in human serum at sub-microgram per liter level using a peptide-based calibration.

Authors:  Huu-Hien Huynh; Amandine Bœuf; Maxence Derbez-Morin; Anne-Marie Dupuy; Béatrice Lalere; Vincent Delatour; Joëlle Vinh
Journal:  Anal Bioanal Chem       Date:  2021-05-14       Impact factor: 4.142

5.  Targeted Quantitative Proteomic Approach for High-Throughput Quantitative Profiling of Small GTPases in Brain Tissues of Alzheimer's Disease Patients.

Authors:  Ming Huang; Martin Darvas; C Dirk Keene; Yinsheng Wang
Journal:  Anal Chem       Date:  2019-09-10       Impact factor: 6.986

6.  Targeted Proteomic Analyses of Histone H4 Acetylation Changes Associated with Homologous-Recombination-Deficient High-Grade Serous Ovarian Carcinomas.

Authors:  Stefani N Thomas; Lijun Chen; Yang Liu; Naseruddin Höti; Hui Zhang
Journal:  J Proteome Res       Date:  2017-09-14       Impact factor: 4.466

Review 7.  Clinical potential of mass spectrometry-based proteogenomics.

Authors:  Bing Zhang; Jeffrey R Whiteaker; Andrew N Hoofnagle; Geoffrey S Baird; Karin D Rodland; Amanda G Paulovich
Journal:  Nat Rev Clin Oncol       Date:  2019-04       Impact factor: 66.675

8.  Calibration Using a Single-Point External Reference Material Harmonizes Quantitative Mass Spectrometry Proteomics Data between Platforms and Laboratories.

Authors:  Lindsay K Pino; Brian C Searle; Eric L Huang; William Stafford Noble; Andrew N Hoofnagle; Michael J MacCoss
Journal:  Anal Chem       Date:  2018-10-23       Impact factor: 6.986

9.  Targeted proteomic assays for the verification of global proteomics insights.

Authors:  Stefani N Thomas; Hui Zhang
Journal:  Expert Rev Proteomics       Date:  2016-09-01       Impact factor: 3.940

10.  Optimized Protocol for Quantitative Multiple Reaction Monitoring-Based Proteomic Analysis of Formalin-Fixed, Paraffin-Embedded Tissues.

Authors:  Jacob J Kennedy; Jeffrey R Whiteaker; Regine M Schoenherr; Ping Yan; Kimberly Allison; Melissa Shipley; Melissa Lerch; Andrew N Hoofnagle; Geoffrey Stuart Baird; Amanda G Paulovich
Journal:  J Proteome Res       Date:  2016-07-27       Impact factor: 4.466

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