Literature DB >> 26398777

Multiplexed, Scheduled, High-Resolution Parallel Reaction Monitoring on a Full Scan QqTOF Instrument with Integrated Data-Dependent and Targeted Mass Spectrometric Workflows.

Birgit Schilling1, Brendan MacLean2, Jason M Held3, Alexandria K Sahu1, Matthew J Rardin1, Dylan J Sorensen1, Theodore Peters1, Alan J Wolfe4, Christie L Hunter5, Michael J MacCoss2, Bradford W Gibson1,6.   

Abstract

Recent advances in commercial mass spectrometers with higher resolving power and faster scanning capabilities have expanded their functionality beyond traditional data-dependent acquisition (DDA) to targeted proteomics with higher precision and multiplexing. Using an orthogonal quadrupole time-of flight (QqTOF) LC-MS system, we investigated the feasibility of implementing large-scale targeted quantitative assays using scheduled, high resolution multiple reaction monitoring (sMRM-HR), also referred to as parallel reaction monitoring (sPRM). We assessed the selectivity and reproducibility of PRM, also referred to as parallel reaction monitoring, by measuring standard peptide concentration curves and system suitability assays. By evaluating up to 500 peptides in a single assay, the robustness and accuracy of PRM assays were compared to traditional SRM workflows on triple quadrupole instruments. The high resolution and high mass accuracy of the full scan MS/MS spectra resulted in sufficient selectivity to monitor 6-10 MS/MS fragment ions per target precursor, providing flexibility in postacquisition assay refinement and optimization. The general applicability of the sPRM workflow was assessed in complex biological samples by first targeting 532 peptide precursor ions in a yeast lysate, and then 466 peptide precursors from a previously generated candidate list of differentially expressed proteins in whole cell lysates from E. coli. Lastly, we found that sPRM assays could be rapidly and efficiently developed in Skyline from DDA libraries when acquired on the same QqTOF platform, greatly facilitating their successful implementation. These results establish a robust sPRM workflow on a QqTOF platform to rapidly transition from discovery analysis to highly multiplexed, targeted peptide quantitation.

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Year:  2015        PMID: 26398777      PMCID: PMC5677521          DOI: 10.1021/acs.analchem.5b02983

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


  43 in total

1.  Getting started with yeast.

Authors:  F Sherman
Journal:  Methods Enzymol       Date:  1991       Impact factor: 1.600

Review 2.  System suitability in bioanalytical LC/MS/MS.

Authors:  Chad J Briscoe; Mark R Stiles; David S Hage
Journal:  J Pharm Biomed Anal       Date:  2007-03-13       Impact factor: 3.935

3.  The parallel reaction monitoring method contributes to a highly sensitive polyubiquitin chain quantification.

Authors:  Hikaru Tsuchiya; Keiji Tanaka; Yasushi Saeki
Journal:  Biochem Biophys Res Commun       Date:  2013-05-31       Impact factor: 3.575

4.  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

5.  OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data.

Authors:  Hannes L Röst; George Rosenberger; Pedro Navarro; Ludovic Gillet; Saša M Miladinović; Olga T Schubert; Witold Wolski; Ben C Collins; Johan Malmström; Lars Malmström; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2014-03       Impact factor: 54.908

6.  Detection and correction of interference in SRM analysis.

Authors:  Y Bao; S Waldemarson; G Zhang; A Wahlander; B Ueberheide; S Myung; B Reed; K Molloy; J C Padovan; J Eriksson; T A Neubert; B T Chait; D Fenyö
Journal:  Methods       Date:  2013-05-23       Impact factor: 3.608

7.  High sensitivity detection of plasma proteins by multiple reaction monitoring of N-glycosites.

Authors:  Jianru Stahl-Zeng; Vinzenz Lange; Reto Ossola; Katrin Eckhardt; Wilhelm Krek; Ruedi Aebersold; Bruno Domon
Journal:  Mol Cell Proteomics       Date:  2007-07-20       Impact factor: 5.911

8.  A critical appraisal of techniques, software packages, and standards for quantitative proteomic analysis.

Authors:  Faviel F Gonzalez-Galarza; Craig Lawless; Simon J Hubbard; Jun Fan; Conrad Bessant; Henning Hermjakob; Andrew R Jones
Journal:  OMICS       Date:  2012-07-17

9.  Label-free quantitation of protein modifications by pseudo selected reaction monitoring with internal reference peptides.

Authors:  Stacy D Sherrod; Matthew V Myers; Ming Li; Jeremy S Myers; Kristin L Carpenter; Brendan Maclean; Michael J Maccoss; Daniel C Liebler; Amy-Joan L Ham
Journal:  J Proteome Res       Date:  2012-05-17       Impact factor: 4.466

10.  Label-Free Quantitation and Mapping of the ErbB2 Tumor Receptor by Multiple Protease Digestion with Data-Dependent (MS1) and Data-Independent (MS2) Acquisitions.

Authors:  Jason M Held; Birgit Schilling; Alexandria K D'Souza; Tara Srinivasan; Jessica B Behring; Dylan J Sorensen; Christopher C Benz; Bradford W Gibson
Journal:  Int J Proteomics       Date:  2013-04-04
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  35 in total

Review 1.  Redox Systems Biology: Harnessing the Sentinels of the Cysteine Redoxome.

Authors:  Jason M Held
Journal:  Antioxid Redox Signal       Date:  2019-09-09       Impact factor: 8.401

2.  Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics.

Authors:  Kendra J Adams; Brian Pratt; Neelanjan Bose; Laura G Dubois; Lisa St John-Williams; Kevin M Perrott; Karina Ky; Pankaj Kapahi; Vagisha Sharma; Michael J MacCoss; M Arthur Moseley; Carol A Colton; Brendan X MacLean; Birgit Schilling; J Will Thompson
Journal:  J Proteome Res       Date:  2020-03-26       Impact factor: 4.466

3.  A Skyline Plugin for Pathway-Centric Data Browsing.

Authors:  Michael G Degan; Lillian Ryadinskiy; Grant M Fujimoto; Christopher S Wilkins; Cheryl F Lichti; Samuel H Payne
Journal:  J Am Soc Mass Spectrom       Date:  2016-08-16       Impact factor: 3.109

Review 4.  Advances in targeted proteomics and applications to biomedical research.

Authors:  Tujin Shi; Ehwang Song; Song Nie; Karin D Rodland; Tao Liu; Wei-Jun Qian; Richard D Smith
Journal:  Proteomics       Date:  2016-08       Impact factor: 3.984

Review 5.  Advancement of mass spectrometry-based proteomics technologies to explore triple negative breast cancer.

Authors:  Sayem Miah; Charles A S Banks; Mark K Adams; Laurence Florens; Kiven E Lukong; Michael P Washburn
Journal:  Mol Biosyst       Date:  2016-12-20

6.  Panorama Public: A Public Repository for Quantitative Data Sets Processed in Skyline.

Authors:  Vagisha Sharma; Josh Eckels; Birgit Schilling; Christina Ludwig; Jacob D Jaffe; Michael J MacCoss; Brendan MacLean
Journal:  Mol Cell Proteomics       Date:  2018-02-27       Impact factor: 5.911

Review 7.  Clinical applications of quantitative proteomics using targeted and untargeted data-independent acquisition techniques.

Authors:  Jesse G Meyer; Birgit Schilling
Journal:  Expert Rev Proteomics       Date:  2017-05       Impact factor: 3.940

8.  Oncogenic KRAS and BRAF Drive Metabolic Reprogramming in Colorectal Cancer.

Authors:  Josiah E Hutton; Xiaojing Wang; Lisa J Zimmerman; Robbert J C Slebos; Irina A Trenary; Jamey D Young; Ming Li; Daniel C Liebler
Journal:  Mol Cell Proteomics       Date:  2016-06-23       Impact factor: 5.911

Review 9.  Application of targeted mass spectrometry in bottom-up proteomics for systems biology research.

Authors:  Nathan P Manes; Aleksandra Nita-Lazar
Journal:  J Proteomics       Date:  2018-02-13       Impact factor: 4.044

10.  Comparison of protein expression between human livers and the hepatic cell lines HepG2, Hep3B, and Huh7 using SWATH and MRM-HR proteomics: Focusing on drug-metabolizing enzymes.

Authors:  Jian Shi; Xinwen Wang; Lingyun Lyu; Hui Jiang; Hao-Jie Zhu
Journal:  Drug Metab Pharmacokinet       Date:  2018-03-10       Impact factor: 3.614

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