Literature DB >> 32867497

Highly Multiplex Targeted Proteomics Enabled by Real-Time Chromatographic Alignment.

Philip M Remes1, Ping Yip1, Michael J MacCoss2.   

Abstract

Targeted mass spectrometry methods produce high-quality quantitative data in terms of limits of detection and dynamic range, at the cost of a substantial compromise in throughput compared to methods such as data independent and data dependent acquisition. The logistical and experimental issues inherent to maintaining assays of even several hundred targets are significant. Prominent among these issues is the drift in analyte retention time as liquid chromatography (LC) columns wear, forcing targeted scheduling windows to be much larger than LC peak widths. If these problems could be solved, proteomics assays would be capable of targeting thousands of peptides in an hour-long experiment, enabling large cohort studies to be performed without sacrificing sensitivity and specificity. We describe a solution in the form of a new method for real-time chromatographic alignment and demonstrate its application to a 56 min LC-gradient HeLa digest assay with 1489 targets. The method is based on the periodic acquisition of untargeted survey scans in a reference experiment and alignment to those scans during subsequent experiments. We describe how the method enables narrower scheduled retention time windows to be used. The narrower scheduling windows enables more targets to be included in the assay or proportionally more time to be allocated to each target, improving the sensitivity. Finally, we point out how the procedure could be improved and how much additional target multiplexing could be gained in the future.

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Year:  2020        PMID: 32867497      PMCID: PMC7757911          DOI: 10.1021/acs.analchem.0c02075

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


  22 in total

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Authors:  M J MacCoss; M J Toth; D E Matthews
Journal:  Anal Chem       Date:  2001-07-01       Impact factor: 6.986

2.  Addressing accuracy and precision issues in iTRAQ quantitation.

Authors:  Natasha A Karp; Wolfgang Huber; Pawel G Sadowski; Philip D Charles; Svenja V Hester; Kathryn S Lilley
Journal:  Mol Cell Proteomics       Date:  2010-04-10       Impact factor: 5.911

3.  Skyline: an open source document editor for creating and analyzing targeted proteomics experiments.

Authors:  Brendan MacLean; Daniela M Tomazela; Nicholas Shulman; Matthew Chambers; Gregory L Finney; Barbara Frewen; Randall Kern; David L Tabb; Daniel C Liebler; Michael J MacCoss
Journal:  Bioinformatics       Date:  2010-02-09       Impact factor: 6.937

4.  Scout-MRM: Multiplexed Targeted Mass Spectrometry-Based Assay without Retention Time Scheduling Exemplified by Dickeya dadantii Proteomic Analysis during Plant Infection.

Authors:  Blandine Rougemont; Sébastien Bontemps Gallo; Sophie Ayciriex; Romain Carrière; Hubert Hondermarck; Jean Marie Lacroix; J C Yves Le Blanc; Jérôme Lemoine
Journal:  Anal Chem       Date:  2017-01-09       Impact factor: 6.986

5.  Targeted proteomics.

Authors:  Vivien Marx
Journal:  Nat Methods       Date:  2013-01       Impact factor: 28.547

6.  Faster, quantitative, and accurate precursor acquisition independent from ion count.

Authors:  Alexandre Panchaud; Sunhee Jung; Scott A Shaffer; John D Aitchison; David R Goodlett
Journal:  Anal Chem       Date:  2011-02-22       Impact factor: 6.986

Review 7.  The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics.

Authors:  Lindsay K Pino; Brian C Searle; James G Bollinger; Brook Nunn; Brendan MacLean; Michael J MacCoss
Journal:  Mass Spectrom Rev       Date:  2017-07-09       Impact factor: 10.946

8.  From lost in translation to paradise found: enabling protein biomarker method transfer by mass spectrometry.

Authors:  Russell P Grant; Andrew N Hoofnagle
Journal:  Clin Chem       Date:  2014-05-08       Impact factor: 8.327

9.  PECAN: library-free peptide detection for data-independent acquisition tandem mass spectrometry data.

Authors:  Ying S Ting; Jarrett D Egertson; James G Bollinger; Brian C Searle; Samuel H Payne; William Stafford Noble; Michael J MacCoss
Journal:  Nat Methods       Date:  2017-08-07       Impact factor: 28.547

10.  Generating high quality libraries for DIA MS with empirically corrected peptide predictions.

Authors:  Brian C Searle; Kristian E Swearingen; Christopher A Barnes; Tobias Schmidt; Siegfried Gessulat; Bernhard Küster; Mathias Wilhelm
Journal:  Nat Commun       Date:  2020-03-25       Impact factor: 14.919

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  2 in total

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Authors:  He Zhu; Scott B Ficarro; William M Alexander; Laura E Fleming; Guillaume Adelmant; Tinghu Zhang; Matthew Willetts; Jens Decker; Sven Brehmer; Michael Krause; Michael P East; Nathanael S Gray; Gary L Johnson; Gary Kruppa; Jarrod A Marto
Journal:  Anal Chem       Date:  2021-10-04       Impact factor: 8.008

2.  The addition of FAIMS increases targeted proteomics sensitivity from FFPE tumor biopsies.

Authors:  Steve Sweet; David Chain; Wen Yu; Philip Martin; Marlon Rebelatto; Andrew Chambers; Fabiola Cecchi; Yeoun Jin Kim
Journal:  Sci Rep       Date:  2022-08-16       Impact factor: 4.996

  2 in total

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