Literature DB >> 30481031

TKO6: A Peptide Standard To Assess Interference for Unit-Resolved Isobaric Labeling Platforms.

Joao A Paulo1, Jose Navarrete-Perea1, Sanjukta Guha Thakurta1, Steven P Gygi1.   

Abstract

Protein abundance profiling using isobaric labeling is a well-established quantitative mass spectrometry technique. However, ratio distortion resulting from coisolated and cofragmented ions, commonly referred to as interference, remains a drawback of this strategy. Tribrid mass spectrometers, such as the Orbitrap Fusion and the Orbitrap Fusion Lumos with a triple mass analyzer configuration, facilitate methods (namely, SPS-MS3) that can help alleviate interference. However, few standards are available to measure interference and thereby aid in method development. Here we introduce the TKO6 standard that assesses ion interference and is designed specifically for data acquired at low (unit) mass resolution. We use TKO6 to compare interference in MS2- versus MS3-based quantitation methods, data acquisition methods of different lengths, and ion-trap-based tandem mass tag reporter ion analysis (IT-MS3) with conventional Orbitrap-based analysis (OT-MS3). We show that the TKO6 standard is a valuable tool for assessing quantification accuracy in isobaric-tag-based analyses.

Entities:  

Keywords:  SPS-MS3; TKO; TMT; iTRAQ; interference

Year:  2018        PMID: 30481031      PMCID: PMC6465125          DOI: 10.1021/acs.jproteome.8b00902

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


  16 in total

1.  Quantitative mass spectrometry-based multiplexing compares the abundance of 5000 S. cerevisiae proteins across 10 carbon sources.

Authors:  Joao A Paulo; Jeremy D O'Connell; Robert A Everley; Jonathon O'Brien; Micah A Gygi; Steven P Gygi
Journal:  J Proteomics       Date:  2016-07-16       Impact factor: 4.044

2.  Streamlined Tandem Mass Tag (SL-TMT) Protocol: An Efficient Strategy for Quantitative (Phospho)proteome Profiling Using Tandem Mass Tag-Synchronous Precursor Selection-MS3.

Authors:  José Navarrete-Perea; Qing Yu; Steven P Gygi; Joao A Paulo
Journal:  J Proteome Res       Date:  2018-05-16       Impact factor: 4.466

3.  Investigating Acquisition Performance on the Orbitrap Fusion When Using Tandem MS/MS/MS Scanning with Isobaric Tags.

Authors:  Christopher S Hughes; Victor Spicer; Oleg V Krokhin; Gregg B Morin
Journal:  J Proteome Res       Date:  2017-04-20       Impact factor: 4.466

4.  A Triple Knockout (TKO) Proteomics Standard for Diagnosing Ion Interference in Isobaric Labeling Experiments.

Authors:  Joao A Paulo; Jeremy D O'Connell; Steven P Gygi
Journal:  J Am Soc Mass Spectrom       Date:  2016-07-11       Impact factor: 3.109

5.  Visualizing samples with box plots.

Authors:  Martin Krzywinski; Naomi Altman
Journal:  Nat Methods       Date:  2014-02       Impact factor: 28.547

6.  Improved 6-Plex Tandem Mass Tags Quantification Throughput Using a Linear Ion Trap-High-Energy Collision Induced Dissociation MS(3) Scan.

Authors:  Jane M Liu; Michael J Sweredoski; Sonja Hess
Journal:  Anal Chem       Date:  2016-07-13       Impact factor: 6.986

7.  Increasing the multiplexing capacity of TMTs using reporter ion isotopologues with isobaric masses.

Authors:  Graeme C McAlister; Edward L Huttlin; Wilhelm Haas; Lily Ting; Mark P Jedrychowski; John C Rogers; Karsten Kuhn; Ian Pike; Robert A Grothe; Justin D Blethrow; Steven P Gygi
Journal:  Anal Chem       Date:  2012-08-20       Impact factor: 6.986

8.  MS3 eliminates ratio distortion in isobaric multiplexed quantitative proteomics.

Authors:  Lily Ting; Ramin Rad; Steven P Gygi; Wilhelm Haas
Journal:  Nat Methods       Date:  2011-10-02       Impact factor: 28.547

9.  MultiNotch MS3 enables accurate, sensitive, and multiplexed detection of differential expression across cancer cell line proteomes.

Authors:  Graeme C McAlister; David P Nusinow; Mark P Jedrychowski; Martin Wühr; Edward L Huttlin; Brian K Erickson; Ramin Rad; Wilhelm Haas; Steven P Gygi
Journal:  Anal Chem       Date:  2014-07-03       Impact factor: 8.008

10.  The PRIDE database and related tools and resources in 2019: improving support for quantification data.

Authors:  Yasset Perez-Riverol; Attila Csordas; Jingwen Bai; Manuel Bernal-Llinares; Suresh Hewapathirana; Deepti J Kundu; Avinash Inuganti; Johannes Griss; Gerhard Mayer; Martin Eisenacher; Enrique Pérez; Julian Uszkoreit; Julianus Pfeuffer; Timo Sachsenberg; Sule Yilmaz; Shivani Tiwary; Jürgen Cox; Enrique Audain; Mathias Walzer; Andrew F Jarnuczak; Tobias Ternent; Alvis Brazma; Juan Antonio Vizcaíno
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

View more
  9 in total

Review 1.  Strategies for mass spectrometry-based phosphoproteomics using isobaric tagging.

Authors:  Xinyue Liu; Rose Fields; Devin K Schweppe; Joao A Paulo
Journal:  Expert Rev Proteomics       Date:  2021-10-28       Impact factor: 3.940

2.  Assessing interference in isobaric tag-based sample multiplexing using an 18-plex interference standard.

Authors:  Jose Navarrete-Perea; Xinyue Liu; Ramin Rad; Jeremy P Gygi; Steven P Gygi; Joao A Paulo
Journal:  Proteomics       Date:  2022-01-14       Impact factor: 5.393

3.  A Triple Knockout Isobaric-Labeling Quality Control Platform with an Integrated Online Database Search.

Authors:  Jeremy P Gygi; Jose Navarrete-Perea; Simon Younesi; Steven P Gygi; Joao A Paulo
Journal:  J Am Soc Mass Spectrom       Date:  2020-03-27       Impact factor: 3.109

4.  Optimized Workflow for Multiplexed Phosphorylation Analysis of TMT-Labeled Peptides Using High-Field Asymmetric Waveform Ion Mobility Spectrometry.

Authors:  Devin K Schweppe; Scott F Rusin; Steven P Gygi; Joao A Paulo
Journal:  J Proteome Res       Date:  2019-12-18       Impact factor: 4.466

5.  Strain-Specific Peptide (SSP) Interference Reference Sample: A Genetically Encoded Quality Control for Isobaric Tagging Strategies.

Authors:  Tian Zhang; Greg R Keele; Gary A Churchill; Steven P Gygi; Joao A Paulo
Journal:  Anal Chem       Date:  2021-03-18       Impact factor: 6.986

6.  TMTpro-18plex: The Expanded and Complete Set of TMTpro Reagents for Sample Multiplexing.

Authors:  Jiaming Li; Zhenying Cai; Ryan D Bomgarden; Ian Pike; Karsten Kuhn; John C Rogers; Thomas M Roberts; Steven P Gygi; Joao A Paulo
Journal:  J Proteome Res       Date:  2021-04-26       Impact factor: 4.466

Review 7.  Advances in quantitative high-throughput phosphoproteomics with sample multiplexing.

Authors:  Joao A Paulo; Devin K Schweppe
Journal:  Proteomics       Date:  2021-03-30       Impact factor: 3.984

Review 8.  Quantitative Accuracy and Precision in Multiplexed Single-Cell Proteomics.

Authors:  Claudia Ctortecka; Karel Stejskal; Gabriela Krššáková; Sasha Mendjan; Karl Mechtler
Journal:  Anal Chem       Date:  2021-12-30       Impact factor: 6.986

9.  HYpro16: A Two-Proteome Mixture to Assess Interference in Isobaric Tag-Based Sample Multiplexing Experiments.

Authors:  Jose Navarrete-Perea; Steven P Gygi; Joao A Paulo
Journal:  J Am Soc Mass Spectrom       Date:  2020-11-11       Impact factor: 3.109

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.