Literature DB >> 30525668

Rapidly Assessing the Quality of Targeted Proteomics Experiments through Monitoring Stable-Isotope Labeled Standards.

Bryson C Gibbons1, Thomas L Fillmore1, Yuqian Gao1, Ronald J Moore1, Tao Liu1, Ernesto S Nakayasu1, Thomas O Metz1, Samuel H Payne1.   

Abstract

Targeted proteomics experiments based on selected reaction monitoring (SRM) have gained wide adoption in the use of clinical biomarkers, cellular modeling, and numerous other biological experiments due to their highly accurate and reproducible quantification. The quantitative accuracy in targeted proteomics experiments is reliant on the stable-isotope, heavy-labeled peptide standards that are spiked into a sample and used as a reference when calculating the abundance of endogenous peptides. Therefore, the quality of measurement for these standards is a critical factor in determining whether data acquisition was successful. With improved mass spectrometry (MS) instrumentation that enables the monitoring of hundreds of peptides in hundreds to thousands of samples, quality assessment is increasingly important and cannot be performed manually. We present Q4SRM, a software tool that rapidly checks the signal from all heavy-labeled peptides and flags those that fail quality-control metrics. Using four metrics, the tool detects problems with both individual SRM transitions and the collective group of transitions that monitor a single peptide. The program's speed and simplicity enable its use at the point of data acquisition and can be ideally run immediately upon the completion of a liquid chromatography-SRM-MS analysis.

Entities:  

Keywords:  MRM; SRM; quality assurance; quality control; software; targeted proteomics

Mesh:

Substances:

Year:  2018        PMID: 30525668      PMCID: PMC6537873          DOI: 10.1021/acs.jproteome.8b00688

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  30 in total

1.  The utility of accurate mass and LC elution time information in the analysis of complex proteomes.

Authors:  Angela D Norbeck; Matthew E Monroe; Joshua N Adkins; Kevin K Anderson; Don S Daly; Richard D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2005-08       Impact factor: 3.109

2.  Conservation of protein abundance patterns reveals the regulatory architecture of the EGFR-MAPK pathway.

Authors:  Tujin Shi; Mario Niepel; Jason E McDermott; Yuqian Gao; Carrie D Nicora; William B Chrisler; Lye M Markillie; Vladislav A Petyuk; Richard D Smith; Karin D Rodland; Peter K Sorger; Wei-Jun Qian; H Steven Wiley
Journal:  Sci Signal       Date:  2016-07-12       Impact factor: 8.192

3.  MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments.

Authors:  Meena Choi; Ching-Yun Chang; Timothy Clough; Daniel Broudy; Trevor Killeen; Brendan MacLean; Olga Vitek
Journal:  Bioinformatics       Date:  2014-05-02       Impact factor: 6.937

4.  Sensitive targeted quantification of ERK phosphorylation dynamics and stoichiometry in human cells without affinity enrichment.

Authors:  Tujin Shi; Yuqian Gao; Matthew J Gaffrey; Carrie D Nicora; Thomas L Fillmore; William B Chrisler; Marina A Gritsenko; Chaochao Wu; Jintang He; Kent J Bloodsworth; Rui Zhao; David G Camp; Tao Liu; Karin D Rodland; Richard D Smith; H Steven Wiley; Wei-Jun Qian
Journal:  Anal Chem       Date:  2014-12-31       Impact factor: 6.986

5.  Quality Control Analysis in Real-time (QC-ART): A Tool for Real-time Quality Control Assessment of Mass Spectrometry-based Proteomics Data.

Authors:  Bryan A Stanfill; Ernesto S Nakayasu; Lisa M Bramer; Allison M Thompson; Charles K Ansong; Therese R Clauss; Marina A Gritsenko; Matthew E Monroe; Ronald J Moore; Daniel J Orton; Paul D Piehowski; Athena A Schepmoes; Richard D Smith; Bobbie-Jo M Webb-Robertson; Thomas O Metz
Journal:  Mol Cell Proteomics       Date:  2018-04-17       Impact factor: 7.381

6.  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

7.  Demonstrating the feasibility of large-scale development of standardized assays to quantify human proteins.

Authors:  Jacob J Kennedy; Susan E Abbatiello; Kyunggon Kim; Ping Yan; Jeffrey R Whiteaker; Chenwei Lin; Jun Seok Kim; Yuzheng Zhang; Xianlong Wang; Richard G Ivey; Lei Zhao; Hophil Min; Youngju Lee; Myeong-Hee Yu; Eun Gyeong Yang; Cheolju Lee; Pei Wang; Henry Rodriguez; Youngsoo Kim; Steven A Carr; Amanda G Paulovich
Journal:  Nat Methods       Date:  2013-12-08       Impact factor: 28.547

8.  Targeted proteomics identifies liquid-biopsy signatures for extracapsular prostate cancer.

Authors:  Yunee Kim; Jouhyun Jeon; Salvador Mejia; Cindy Q Yao; Vladimir Ignatchenko; Julius O Nyalwidhe; Anthony O Gramolini; Raymond S Lance; Dean A Troyer; Richard R Drake; Paul C Boutros; O John Semmes; Thomas Kislinger
Journal:  Nat Commun       Date:  2016-06-28       Impact factor: 14.919

9.  TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics.

Authors:  Hannes L Röst; Yansheng Liu; Giuseppe D'Agostino; Matteo Zanella; Pedro Navarro; George Rosenberger; Ben C Collins; Ludovic Gillet; Giuseppe Testa; Lars Malmström; Ruedi Aebersold
Journal:  Nat Methods       Date:  2016-08-01       Impact factor: 28.547

10.  MRMAssayDB: an integrated resource for validated targeted proteomics assays.

Authors:  Pallab Bhowmick; Yassene Mohammed; Christoph H Borchers
Journal:  Bioinformatics       Date:  2018-10-15       Impact factor: 6.937

View more
  1 in total

Review 1.  Tutorial: best practices and considerations for mass-spectrometry-based protein biomarker discovery and validation.

Authors:  Ernesto S Nakayasu; Marina Gritsenko; Paul D Piehowski; Yuqian Gao; Daniel J Orton; Athena A Schepmoes; Thomas L Fillmore; Brigitte I Frohnert; Marian Rewers; Jeffrey P Krischer; Charles Ansong; Astrid M Suchy-Dicey; Carmella Evans-Molina; Wei-Jun Qian; Bobbie-Jo M Webb-Robertson; Thomas O Metz
Journal:  Nat Protoc       Date:  2021-07-09       Impact factor: 17.021

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.