Literature DB >> 22665307

Absolute multiplexed protein quantification using QconCAT technology.

Philip J Brownridge1, Victoria M Harman, Deborah M Simpson, Robert J Beynon.   

Abstract

In addition to protein identification, protein quantification is becoming a key output of proteomic experiments. Although relative quantification techniques are more commonplace and central to discovery proteomics, most assays require absolute quantification. The growth in systems biology has also increased the demand for absolute protein abundance values for input into models. QconCATs are created by concatenating peptide sequences taken from the target proteins into artificial proteins. The QconCAT acts as a source of internal standards and enables parallel absolute quantification of multiple proteins. QconCATs are typically applied in targeted proteomic workflows and so benefit from the greater sensitivity and wider dynamic range of these approaches. In this chapter, we discuss the design, construction, expression, and deployment of a QconCAT and the resulting experiments required for multiplex absolute quantification.

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Year:  2012        PMID: 22665307     DOI: 10.1007/978-1-61779-885-6_18

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  11 in total

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3.  Supernatant protein biomarkers of red blood cell storage hemolysis as determined through an absolute quantification proteomics technology.

Authors:  Angelo D'Alessandro; Monika Dzieciatkowska; Ryan C Hill; Kirk C Hansen
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4.  Accuracy and Reproducibility in Quantification of Plasma Protein Concentrations by Mass Spectrometry without the Use of Isotopic Standards.

Authors:  Gertjan Kramer; Yvonne Woolerton; Jan P van Straalen; Johannes P C Vissers; Nick Dekker; James I Langridge; Robert J Beynon; Dave Speijer; Auguste Sturk; Johannes M F G Aerts
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5.  Proteomics Is Analytical Chemistry: Fitness-for-Purpose in the Application of Top-Down and Bottom-Up Analyses.

Authors:  Jens R Coorssen; Alfred L Yergey
Journal:  Proteomes       Date:  2015-12-03

6.  An in vivo control map for the eukaryotic mRNA translation machinery.

Authors:  Helena Firczuk; Shichina Kannambath; Jürgen Pahle; Amy Claydon; Robert Beynon; John Duncan; Hans Westerhoff; Pedro Mendes; John Eg McCarthy
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7.  Quantitative analysis of chaperone network throughput in budding yeast.

Authors:  Philip Brownridge; Craig Lawless; Aishwarya B Payapilly; Karin Lanthaler; Stephen W Holman; Victoria M Harman; Christopher M Grant; Robert J Beynon; Simon J Hubbard
Journal:  Proteomics       Date:  2013-03-15       Impact factor: 3.984

8.  Absolute protein quantification of the yeast chaperome under conditions of heat shock.

Authors:  Rebecca J Mackenzie; Craig Lawless; Stephen W Holman; Karin Lanthaler; Robert J Beynon; Chris M Grant; Simon J Hubbard; Claire E Eyers
Journal:  Proteomics       Date:  2016-07-22       Impact factor: 3.984

Review 9.  Cell-free synthesis of stable isotope-labeled internal standards for targeted quantitative proteomics.

Authors:  Ryohei Narumi; Keiko Masuda; Takeshi Tomonaga; Jun Adachi; Hiroki R Ueda; Yoshihiro Shimizu
Journal:  Synth Syst Biotechnol       Date:  2018-02-21

10.  Multisite rate control analysis identifies ribosomal scanning as the sole high-capacity/low-flux-control step in mRNA translation.

Authors:  Helena Firczuk; James Teahan; Pedro Mendes; John E G McCarthy
Journal:  FEBS J       Date:  2019-10-04       Impact factor: 5.542

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