Literature DB >> 19411281

Halogenated peptides as internal standards (H-PINS): introduction of an MS-based internal standard set for liquid chromatography-mass spectrometry.

Hamid Mirzaei1, Mi-Youn Brusniak, Lukas N Mueller, Simon Letarte, Julian D Watts, Ruedi Aebersold.   

Abstract

As the application for quantitative proteomics in the life sciences has grown in recent years, so has the need for more robust and generally applicable methods for quality control and calibration. The reliability of quantitative proteomics is tightly linked to the reproducibility and stability of the analytical platforms, which are typically multicomponent (e.g. sample preparation, multistep separations, and mass spectrometry) with individual components contributing unequally to the overall system reproducibility. Variations in quantitative accuracy are thus inevitable, and quality control and calibration become essential for the assessment of the quality of the analyses themselves. Toward this end, the use of internal standards cannot only assist in the detection and removal of outlier data acquired by an irreproducible system (quality control) but can also be used for detection of changes in instruments for their subsequent performance and calibration. Here we introduce a set of halogenated peptides as internal standards. The peptides are custom designed to have properties suitable for various quality control assessments, data calibration, and normalization processes. The unique isotope distribution of halogenated peptides makes their mass spectral detection easy and unambiguous when spiked into complex peptide mixtures. In addition, they were designed to elute sequentially over an entire aqueous to organic LC gradient and to have m/z values within the commonly scanned mass range (300-1800 Da). In a series of experiments in which these peptides were spiked into an enriched N-glycosite peptide fraction (i.e. from formerly N-glycosylated intact proteins in their deglycosylated form) isolated from human plasma, we show the utility and performance of these halogenated peptides for sample preparation and LC injection quality control as well as for retention time and mass calibration. Further use of the peptides for signal intensity normalization and retention time synchronization for selected reaction monitoring experiments is also demonstrated.

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Year:  2009        PMID: 19411281      PMCID: PMC2722772          DOI: 10.1074/mcp.M800569-MCP200

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


  26 in total

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Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
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2.  The absolute quantification strategy: a general procedure for the quantification of proteins and post-translational modifications.

Authors:  Donald S Kirkpatrick; Scott A Gerber; Steven P Gygi
Journal:  Methods       Date:  2005-01-12       Impact factor: 3.608

3.  Comparison of label-free methods for quantifying human proteins by shotgun proteomics.

Authors:  William M Old; Karen Meyer-Arendt; Lauren Aveline-Wolf; Kevin G Pierce; Alex Mendoza; Joel R Sevinsky; Katheryn A Resing; Natalie G Ahn
Journal:  Mol Cell Proteomics       Date:  2005-06-23       Impact factor: 5.911

4.  Development and validation of a spectral library searching method for peptide identification from MS/MS.

Authors:  Henry Lam; Eric W Deutsch; James S Eddes; Jimmy K Eng; Nichole King; Stephen E Stein; Ruedi Aebersold
Journal:  Proteomics       Date:  2007-03       Impact factor: 3.984

5.  Reproducibility assessment of relative quantitation strategies for LC-MS based proteomics.

Authors:  Yeoun Jin Kim; Ping Zhan; Brian Feild; Steven M Ruben; Tao He
Journal:  Anal Chem       Date:  2007-06-20       Impact factor: 6.986

6.  Accurate inclusion mass screening: a bridge from unbiased discovery to targeted assay development for biomarker verification.

Authors:  Jacob D Jaffe; Hasmik Keshishian; Betty Chang; Theresa A Addona; Michael A Gillette; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2008-06-04       Impact factor: 5.911

7.  Pseudo internal standard approach for label-free quantitative proteomics.

Authors:  Tsuyoshi Tabata; Toshitaka Sato; Junro Kuromitsu; Yoshiya Oda
Journal:  Anal Chem       Date:  2007-10-12       Impact factor: 6.986

8.  Multiplexed absolute quantification in proteomics using artificial QCAT proteins of concatenated signature peptides.

Authors:  Robert J Beynon; Mary K Doherty; Julie M Pratt; Simon J Gaskell
Journal:  Nat Methods       Date:  2005-08       Impact factor: 28.547

9.  Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

Authors:  Shao-En Ong; Blagoy Blagoev; Irina Kratchmarova; Dan Bach Kristensen; Hanno Steen; Akhilesh Pandey; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2002-05       Impact factor: 5.911

10.  High sensitivity detection of plasma proteins by multiple reaction monitoring of N-glycosites.

Authors:  Jianru Stahl-Zeng; Vinzenz Lange; Reto Ossola; Katrin Eckhardt; Wilhelm Krek; Ruedi Aebersold; Bruno Domon
Journal:  Mol Cell Proteomics       Date:  2007-07-20       Impact factor: 5.911

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  9 in total

1.  Systematic measurement of transcription factor-DNA interactions by targeted mass spectrometry identifies candidate gene regulatory proteins.

Authors:  Hamid Mirzaei; Theo A Knijnenburg; Bong Kim; Max Robinson; Paola Picotti; Gregory W Carter; Song Li; David J Dilworth; Jimmy K Eng; John D Aitchison; Ilya Shmulevich; Timothy Galitski; Ruedi Aebersold; Jeffrey Ranish
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-06       Impact factor: 11.205

2.  Targeted proteomics: a bridge between discovery and validation.

Authors:  Robert Harlan; Hui Zhang
Journal:  Expert Rev Proteomics       Date:  2014-10-28       Impact factor: 3.940

3.  Proteome and transcriptome profiles of a Her2/Neu-driven mouse model of breast cancer.

Authors:  Regine M Schoenherr; Karen S Kelly-Spratt; ChenWei Lin; Jeffrey R Whiteaker; Tao Liu; Ted Holzman; Ilsa Coleman; Li-Chia Feng; Travis D Lorentzen; Alexei L Krasnoselsky; Pei Wang; Yan Liu; Kay E Gurley; Lynn M Amon; Athena A Schepmoes; Ronald J Moore; David G Camp; Lewis A Chodosh; Richard D Smith; Peter S Nelson; Martin W McIntosh; Christopher J Kemp; Amanda G Paulovich
Journal:  Proteomics Clin Appl       Date:  2011-02-15       Impact factor: 3.494

4.  Iodine-Containing Mass-Defect-Tuned Dendrimers for Use as Internal Mass Spectrometry Calibrants.

Authors:  Joseph A Giesen; Benjamin J Diament; Scott M Grayson
Journal:  J Am Soc Mass Spectrom       Date:  2017-12-19       Impact factor: 3.109

Review 5.  Oxidative protein labeling in mass-spectrometry-based proteomics.

Authors:  Julien Roeser; Rainer Bischoff; Andries P Bruins; Hjalmar P Permentier
Journal:  Anal Bioanal Chem       Date:  2010-02-13       Impact factor: 4.142

Review 6.  An assessment of current bioinformatic solutions for analyzing LC-MS data acquired by selected reaction monitoring technology.

Authors:  Mi-Youn K Brusniak; Caroline S Chu; Ulrike Kusebauch; Mark J Sartain; Julian D Watts; Robert L Moritz
Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

7.  Using iRT, a normalized retention time for more targeted measurement of peptides.

Authors:  Claudia Escher; Lukas Reiter; Brendan MacLean; Reto Ossola; Franz Herzog; John Chilton; Michael J MacCoss; Oliver Rinner
Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

8.  Assigning significance in label-free quantitative proteomics to include single-peptide-hit proteins with low replicates.

Authors:  Qingbo Li
Journal:  Int J Proteomics       Date:  2010-01-01

9.  Isotopic signature transfer and mass pattern prediction (IsoStamp): an enabling technique for chemically-directed proteomics.

Authors:  Krishnan K Palaniappan; Austin A Pitcher; Brian P Smart; David R Spiciarich; Anthony T Iavarone; Carolyn R Bertozzi
Journal:  ACS Chem Biol       Date:  2011-06-16       Impact factor: 5.100

  9 in total

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