Literature DB >> 24522978

Simplified and efficient quantification of low-abundance proteins at very high multiplex via targeted mass spectrometry.

Michael W Burgess1, Hasmik Keshishian, D R Mani, Michael A Gillette, Steven A Carr.   

Abstract

Liquid chromatography-multiple reaction monitoring mass spectrometry (LC-MRM-MS) of plasma that has been depleted of abundant proteins and fractionated at the peptide level into six to eight fractions is a proven method for quantifying proteins present at low nanogram-per-milliliter levels. A drawback of fraction-MRM is the increased analysis time due to the generation of multiple fractions per biological sample. We now report that the use of heated, long, fused silica columns (>30 cm) packed with 1.9 μm of packing material can reduce or eliminate the need for fractionation prior to LC-MRM-MS without a significant loss of sensitivity or precision relative to fraction-MRM. We empirically determined the optimal column length, temperature, gradient duration, and sample load for such assays and used these conditions to study detection sensitivity and assay precision. In addition to increased peak capacity, longer columns packed with smaller beads tolerated a 4- to 6-fold increase in analyte load without a loss of robustness or reproducibility. The longer columns also provided a 4-fold improvement in median limit-of-quantitation values with increased assay precision relative to the standard 12 cm columns packed with 3 μm material. Overall, the optimized chromatography provided an approximately 3-fold increase in analysis throughput with excellent robustness and less than a 2-fold reduction in quantitative sensitivity relative to fraction-MRM. The value of the system for increased multiplexing was demonstrated by the ability to configure an 800-plex MRM-MS assay, run in a single analysis, comprising 2400 transitions with retention time scheduling to monitor 400 unlabeled and heavy labeled peptide pairs.

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Year:  2014        PMID: 24522978      PMCID: PMC3977191          DOI: 10.1074/mcp.M113.034660

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  23 in total

1.  Interlaboratory evaluation of automated, multiplexed peptide immunoaffinity enrichment coupled to multiple reaction monitoring mass spectrometry for quantifying proteins in plasma.

Authors:  Eric Kuhn; Jeffrey R Whiteaker; D R Mani; Angela M Jackson; Lei Zhao; Matthew E Pope; Derek Smith; Keith D Rivera; N Leigh Anderson; Steven J Skates; Terry W Pearson; Amanda G Paulovich; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2011-12-22       Impact factor: 5.911

2.  Implications of column peak capacity on the separation of complex peptide mixtures in single- and two-dimensional high-performance liquid chromatography.

Authors:  Martin Gilar; Amy E Daly; Marianna Kele; Uwe D Neue; John C Gebler
Journal:  J Chromatogr A       Date:  2004-12-24       Impact factor: 4.759

3.  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

4.  Antibody-free, targeted mass-spectrometric approach for quantification of proteins at low picogram per milliliter levels in human plasma/serum.

Authors:  Tujin Shi; Thomas L Fillmore; Xuefei Sun; Rui Zhao; Athena A Schepmoes; Mahmud Hossain; Fang Xie; Si Wu; Jong-Seo Kim; Nathan Jones; Ronald J Moore; Ljiljana Pasa-Tolić; Jacob Kagan; Karin D Rodland; Tao Liu; Keqi Tang; David G Camp; Richard D Smith; Wei-Jun Qian
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-04       Impact factor: 11.205

5.  Quantitative measurements of N-linked glycoproteins in human plasma by SWATH-MS.

Authors:  Yansheng Liu; Ruth Hüttenhain; Silvia Surinova; Ludovic C J Gillet; Jeppe Mouritsen; Roland Brunner; Pedro Navarro; Ruedi Aebersold
Journal:  Proteomics       Date:  2013-03-11       Impact factor: 3.984

6.  Long-gradient separations coupled with selected reaction monitoring for highly sensitive, large scale targeted protein quantification in a single analysis.

Authors:  Tujin Shi; Thomas L Fillmore; Yuqian Gao; Rui Zhao; Jintang He; Athena A Schepmoes; Carrie D Nicora; Chaochao Wu; Justin L Chambers; Ronald J Moore; Jacob Kagan; Sudhir Srivastava; Alvin Y Liu; Karin D Rodland; Tao Liu; David G Camp; Richard D Smith; Wei-Jun Qian
Journal:  Anal Chem       Date:  2013-09-19       Impact factor: 6.986

7.  A pipeline that integrates the discovery and verification of plasma protein biomarkers reveals candidate markers for cardiovascular disease.

Authors:  Terri A Addona; Xu Shi; Hasmik Keshishian; D R Mani; Michael Burgess; Michael A Gillette; Karl R Clauser; Dongxiao Shen; Gregory D Lewis; Laurie A Farrell; Michael A Fifer; Marc S Sabatine; Robert E Gerszten; Steven A Carr
Journal:  Nat Biotechnol       Date:  2011-06-19       Impact factor: 54.908

8.  Quantification of cardiovascular biomarkers in patient plasma by targeted mass spectrometry and stable isotope dilution.

Authors:  Hasmik Keshishian; Terri Addona; Michael Burgess; D R Mani; Xu Shi; Eric Kuhn; Marc S Sabatine; Robert E Gerszten; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2009-07-13       Impact factor: 5.911

9.  Deep and highly sensitive proteome coverage by LC-MS/MS without prefractionation.

Authors:  Suman S Thakur; Tamar Geiger; Bhaswati Chatterjee; Peter Bandilla; Florian Fröhlich; Juergen Cox; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2011-05-17       Impact factor: 5.911

10.  System-wide perturbation analysis with nearly complete coverage of the yeast proteome by single-shot ultra HPLC runs on a bench top Orbitrap.

Authors:  Nagarjuna Nagaraj; Nils Alexander Kulak; Juergen Cox; Nadin Neuhauser; Korbinian Mayr; Ole Hoerning; Ole Vorm; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2011-10-20       Impact factor: 5.911

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  28 in total

Review 1.  Proteomics characterization of exosome cargo.

Authors:  Kevin L Schey; J Matthew Luther; Kristie L Rose
Journal:  Methods       Date:  2015-03-31       Impact factor: 3.608

2.  Large-Scale Targeted Proteomics Using Internal Standard Triggered-Parallel Reaction Monitoring (IS-PRM).

Authors:  Sebastien Gallien; Sang Yoon Kim; Bruno Domon
Journal:  Mol Cell Proteomics       Date:  2015-03-09       Impact factor: 5.911

3.  Mass spectrometry-based absolute quantification reveals rhythmic variation of mouse circadian clock proteins.

Authors:  Ryohei Narumi; Yoshihiro Shimizu; Maki Ukai-Tadenuma; Koji L Ode; Genki N Kanda; Yuta Shinohara; Aya Sato; Katsuhiko Matsumoto; Hiroki R Ueda
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-31       Impact factor: 11.205

4.  A Strategy to Combine Sample Multiplexing with Targeted Proteomics Assays for High-Throughput Protein Signature Characterization.

Authors:  Brian K Erickson; Christopher M Rose; Craig R Braun; Alison R Erickson; Jeffrey Knott; Graeme C McAlister; Martin Wühr; Joao A Paulo; Robert A Everley; Steven P Gygi
Journal:  Mol Cell       Date:  2017-01-05       Impact factor: 17.970

Review 5.  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

6.  Proteomics of microparticles with SILAC Quantification (PROMIS-Quan): a novel proteomic method for plasma biomarker quantification.

Authors:  Michal Harel; Pazit Oren-Giladi; Orit Kaidar-Person; Yuval Shaked; Tamar Geiger
Journal:  Mol Cell Proteomics       Date:  2015-01-26       Impact factor: 5.911

7.  An Optimized Chromatographic Strategy for Multiplexing In Parallel Reaction Monitoring Mass Spectrometry: Insights from Quantitation of Activated Kinases.

Authors:  Anatoly Urisman; Rebecca S Levin; John D Gordan; James T Webber; Hilda Hernandez; Yasushi Ishihama; Kevan M Shokat; Alma L Burlingame
Journal:  Mol Cell Proteomics       Date:  2016-12-11       Impact factor: 5.911

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

Authors:  Birgit Schilling; Brendan MacLean; Jason M Held; Alexandria K Sahu; Matthew J Rardin; Dylan J Sorensen; Theodore Peters; Alan J Wolfe; Christie L Hunter; Michael J MacCoss; Bradford W Gibson
Journal:  Anal Chem       Date:  2015-09-30       Impact factor: 6.986

9.  High Sensitivity Quantitative Proteomics Using Automated Multidimensional Nano-flow Chromatography and Accumulated Ion Monitoring on Quadrupole-Orbitrap-Linear Ion Trap Mass Spectrometer.

Authors:  Paolo Cifani; Alex Kentsis
Journal:  Mol Cell Proteomics       Date:  2017-08-18       Impact factor: 5.911

10.  Transitioning from Targeted to Comprehensive Mass Spectrometry Using Genetic Algorithms.

Authors:  Jacob D Jaffe; Caitlin M Feeney; Jinal Patel; Xiaodong Lu; D R Mani
Journal:  J Am Soc Mass Spectrom       Date:  2016-08-25       Impact factor: 3.109

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