Literature DB >> 19241008

Hydrophilic interaction chromatography for fractionation and enrichment of the phosphoproteome.

Dean E McNulty1, Roland S Annan.   

Abstract

Mass spectrometry-based protein phosphorylation analysis on a proteome-wide scale remains a formidable challenge, hampered by the complexity and dynamic range of protein expression on the global level and multi-site phosphorylation at substoichiometric ratios at the individual protein level. It is recognized that reduction of sample complexity or enrichment of the phosphopeptide pool is a necessary prerequisite for global phospho-proteomics. Immobilized metal affinity chromatography (IMAC) and strong cation exchange chromatography, either alone or in tandem, have emerged as the most widely used chromatographic-based enrichment strategies. However, each is not without shortcomings. Both techniques provide little fractionation of phosphorylated species and are compromised by competition and co-elution of highly acidic peptides. Here, we describe a phosphopeptide prefractionation scheme using hydrophilic interaction chromatography, which both enriches the phosphopeptide pool and efficiently fractionates the remaining peptides. When used in front of IMAC, the selectivity of the metal affinity resin is improved to greater than 95%. The lack of significant numbers of nonphosphorylated peptides also allows for more efficient use of the mass spectrometer duty cycle in that the instrument spends nearly all of its time in sequencing the phosphopeptides.

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Year:  2009        PMID: 19241008     DOI: 10.1007/978-1-60327-834-8_8

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


  12 in total

1.  15N-labeled brain enables quantification of proteome and phosphoproteome in cultured primary neurons.

Authors:  Lujian Liao; Richard C Sando; John B Farnum; Peter W Vanderklish; Anton Maximov; John R Yates
Journal:  J Proteome Res       Date:  2011-12-02       Impact factor: 4.466

Review 2.  Challenges in plasma membrane phosphoproteomics.

Authors:  Benjamin C Orsburn; Luke H Stockwin; Dianne L Newton
Journal:  Expert Rev Proteomics       Date:  2011-08       Impact factor: 3.940

Review 3.  Divide and conquer: the application of organelle proteomics to heart failure.

Authors:  Giulio Agnetti; Cathrine Husberg; Jennifer E Van Eyk
Journal:  Circ Res       Date:  2011-02-18       Impact factor: 17.367

Review 4.  Strategies for mass spectrometry-based phosphoproteomics using isobaric tagging.

Authors:  Xinyue Liu; Rose Fields; Devin K Schweppe; Joao A Paulo
Journal:  Expert Rev Proteomics       Date:  2021-10-28       Impact factor: 3.940

Review 5.  Phosphoproteomics for the masses.

Authors:  Paul A Grimsrud; Danielle L Swaney; Craig D Wenger; Nicole A Beauchene; Joshua J Coon
Journal:  ACS Chem Biol       Date:  2010-01-15       Impact factor: 5.100

6.  Quantitative phosphoproteomic profiling of PINK1-deficient cells identifies phosphorylation changes in nuclear proteins.

Authors:  Xiaoyan Qin; Chaoya Zheng; John R Yates; Lujian Liao
Journal:  Mol Biosyst       Date:  2014-03-13

Review 7.  Advances in quantitative high-throughput phosphoproteomics with sample multiplexing.

Authors:  Joao A Paulo; Devin K Schweppe
Journal:  Proteomics       Date:  2021-03-30       Impact factor: 3.984

8.  Quantitative in vivo analyses reveal calcium-dependent phosphorylation sites and identifies a novel component of the Toxoplasma invasion motor complex.

Authors:  Thomas Nebl; Judith Helena Prieto; Eugene Kapp; Brian J Smith; Melanie J Williams; John R Yates; Alan F Cowman; Christopher J Tonkin
Journal:  PLoS Pathog       Date:  2011-09-29       Impact factor: 6.823

Review 9.  Strong cation exchange chromatography in analysis of posttranslational modifications: innovations and perspectives.

Authors:  Mariola J Edelmann
Journal:  J Biomed Biotechnol       Date:  2011-11-17

10.  Prediction of Functionally Important Phospho-Regulatory Events in Xenopus laevis Oocytes.

Authors:  Jeffrey R Johnson; Silvia D Santos; Tasha Johnson; Ursula Pieper; Marta Strumillo; Omar Wagih; Andrej Sali; Nevan J Krogan; Pedro Beltrao
Journal:  PLoS Comput Biol       Date:  2015-08-27       Impact factor: 4.475

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