Literature DB >> 33900084

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

Jiaming Li1, Zhenying Cai2,3, Ryan D Bomgarden4, Ian Pike5, Karsten Kuhn5, John C Rogers4, Thomas M Roberts2,3, Steven P Gygi1, Joao A Paulo1.   

Abstract

The development of the TMTpro-16plex series expanded the breadth of commercial isobaric tagging reagents by nearly 50% over classic TMT-11plex. In addition to the described 16plex reagents, the proline-based TMTpro molecule can accommodate two additional combinations of heavy carbon and nitrogen isotopes. Here, we introduce the final two labeling reagents, TMTpro-134C and TMTpro-135N, which permit the simultaneous global protein profiling of 18 samples with essentially no missing values. For example, six conditions with three biological replicates can now be perfectly accommodated. We showcase the 18plex reagent set by profiling the proteome and phosphoproteome of a pair of isogenic mammary epithelial cell lines under three conditions in triplicate. We compare the depth and quantitative performance of this data set with a TMTpro-16plex experiment in which two samples were omitted. Our analysis revealed similar numbers of quantified peptides and proteins, with high quantitative correlation. We interrogated further the TMTpro-18plex data set by highlighting changes in protein abundance profiles under different conditions in the isogenic cell lines. We conclude that TMTpro-18plex further expands the sample multiplexing landscape, allowing for complex and innovative experimental designs.

Entities:  

Keywords:  18plex; BYL-719; KIN-193; MCF10A; PTEN; TMTpro; eclipse; real-time search

Mesh:

Substances:

Year:  2021        PMID: 33900084      PMCID: PMC8210943          DOI: 10.1021/acs.jproteome.1c00168

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


  39 in total

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Authors:  L Simpson; J Li; D Liaw; I Hennessy; J Oliner; F Christians; R Parsons
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2.  Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry.

Authors:  Joshua E Elias; Steven P Gygi
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3.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

4.  Molecular Profiling Establishes Genetic Features Predictive of the Efficacy of the p110β Inhibitor KIN-193.

Authors:  Isha Sethi; Zhenying Cai; Thomas M Roberts; Guo-Cheng Yuan
Journal:  Cancer Res       Date:  2019-07-10       Impact factor: 12.701

5.  Extending the Separation Space with Trapped Ion Mobility Spectrometry Improves the Accuracy of Isobaric Tag-Based Quantitation in Proteomic LC/MS/MS.

Authors:  Kosuke Ogata; Yasushi Ishihama
Journal:  Anal Chem       Date:  2020-05-28       Impact factor: 6.986

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

Authors:  Joao A Paulo; Jose Navarrete-Perea; Sanjukta Guha Thakurta; Steven P Gygi
Journal:  J Proteome Res       Date:  2018-12-06       Impact factor: 4.466

7.  Identification of an insulator in AAVS1, a preferred region for integration of adeno-associated virus DNA.

Authors:  Toshihiko Ogata; Takuyo Kozuka; Tadahito Kanda
Journal:  J Virol       Date:  2003-08       Impact factor: 5.103

8.  Convergent loss of PTEN leads to clinical resistance to a PI(3)Kα inhibitor.

Authors:  Dejan Juric; Pau Castel; Malachi Griffith; Obi L Griffith; Helen H Won; Haley Ellis; Saya H Ebbesen; Benjamin J Ainscough; Avinash Ramu; Gopa Iyer; Ronak H Shah; Tiffany Huynh; Mari Mino-Kenudson; Dennis Sgroi; Steven Isakoff; Ashraf Thabet; Leila Elamine; David B Solit; Scott W Lowe; Cornelia Quadt; Malte Peters; Adnan Derti; Robert Schegel; Alan Huang; Elaine R Mardis; Michael F Berger; José Baselga; Maurizio Scaltriti
Journal:  Nature       Date:  2014-11-17       Impact factor: 49.962

Review 9.  Isobaric labeling-based relative quantification in shotgun proteomics.

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10.  Online Parallel Accumulation-Serial Fragmentation (PASEF) with a Novel Trapped Ion Mobility Mass Spectrometer.

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Journal:  Mol Cell Proteomics       Date:  2018-11-01       Impact factor: 5.911

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  28 in total

1.  Infrared Photoactivation Boosts Reporter Ion Yield in Isobaric Tagging.

Authors:  Kenneth W Lee; Trenton M Peters-Clarke; Keaton L Mertz; Graeme C McAlister; John E P Syka; Michael S Westphall; Joshua J Coon
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Review 2.  Strategies for mass spectrometry-based phosphoproteomics using isobaric tagging.

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3.  Increasing the throughput of sensitive proteomics by plexDIA.

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Review 4.  Phosphoproteomics: a valuable tool for uncovering molecular signaling in cancer cells.

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5.  Prior Signal Acquisition Software Versions for Orbitrap Underestimate Low Isobaric Mass Tag Intensities, Without Detriment to Differential Abundance Experiments.

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6.  Scalable multiplex co-fractionation/mass spectrometry platform for accelerated protein interactome discovery.

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Review 7.  1,2,3, MHC: a review of mass-spectrometry-based immunopeptidomics methods for relative and absolute quantification of pMHCs.

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Review 8.  Detecting Cardiovascular Protein-Protein Interactions by Proximity Proteomics.

Authors:  Jared S Kushner; Guoxia Liu; Robyn J Eisert; Gary A Bradshaw; Geoffrey S Pitt; J Travis Hinson; Marian Kalocsay; Steven O Marx
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9.  A Compendium of Murine (Phospho)Peptides Encompassing Different Isobaric Labeling and Data Acquisition Strategies.

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10.  Exposing the Brain Proteomic Signatures of Alzheimer's Disease in Diverse Racial Groups: Leveraging Multiple Data Sets and Machine Learning.

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