Literature DB >> 20855976

Quantitative phosphoproteomics: New technologies and applications in the DNA damage response.

Huilin Zhou1, Claudio P Albuquerque, Jason Liang, Raymond T Suhandynata, Stephanie Weng.   

Abstract

Cells are highly responsive to their environment. One of the main strategies used by cells in signal transduction is protein phosphorylation, a reversible modification that regulates numerous biological processes. Misregulation of phosphorylation-mediated processes is often implicated in many human diseases and cancers. A global and quantitative analysis of protein phosphorylation provides a powerful new approach and has the potential to reveal new insights in signaling pathways. Recent technological advances in high resolution mass spectrometers and multidimensional liquid chromatography, combined with the use of stable isotope labeling of proteins, have led to the application of quantitative phosphoproteomics to study in vivo signal transduction events on a proteome-wide scale. Here we review recent advancements in quantitative phosphoproteomic technologies, discuss their potentials and identify areas for future development. A key objective of proteomic technology is its application to addressing biological questions. We will therefore describe how current quantitative phosphoproteomic technology can be used to study the molecular basis of phosphorylation events in the DNA damage response.

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Year:  2010        PMID: 20855976      PMCID: PMC3230475          DOI: 10.4161/cc.9.17.13152

Source DB:  PubMed          Journal:  Cell Cycle        ISSN: 1551-4005            Impact factor:   4.534


  51 in total

1.  A systematic approach to the analysis of protein phosphorylation.

Authors:  H Zhou; J D Watts; R Aebersold
Journal:  Nat Biotechnol       Date:  2001-04       Impact factor: 54.908

2.  Interfacing the orbitrap mass analyzer to an electrospray ion source.

Authors:  Mark Hardman; Alexander A Makarov
Journal:  Anal Chem       Date:  2003-04-01       Impact factor: 6.986

Review 3.  Protein kinases and phosphatases: the yin and yang of protein phosphorylation and signaling.

Authors:  T Hunter
Journal:  Cell       Date:  1995-01-27       Impact factor: 41.582

4.  Quantitative phosphoproteomics applied to the yeast pheromone signaling pathway.

Authors:  Albrecht Gruhler; Jesper V Olsen; Shabaz Mohammed; Peter Mortensen; Nils J Faergeman; Matthias Mann; Ole N Jensen
Journal:  Mol Cell Proteomics       Date:  2005-01-22       Impact factor: 5.911

5.  Global, in vivo, and site-specific phosphorylation dynamics in signaling networks.

Authors:  Jesper V Olsen; Blagoy Blagoev; Florian Gnad; Boris Macek; Chanchal Kumar; Peter Mortensen; Matthias Mann
Journal:  Cell       Date:  2006-11-03       Impact factor: 41.582

6.  SILAC mouse for quantitative proteomics uncovers kindlin-3 as an essential factor for red blood cell function.

Authors:  Marcus Krüger; Markus Moser; Siegfried Ussar; Ingo Thievessen; Christian A Luber; Francesca Forner; Sarah Schmidt; Sara Zanivan; Reinhard Fässler; Matthias Mann
Journal:  Cell       Date:  2008-07-25       Impact factor: 41.582

Review 7.  Maintenance of genome stability in Saccharomyces cerevisiae.

Authors:  Richard D Kolodner; Christopher D Putnam; Kyungjae Myung
Journal:  Science       Date:  2002-07-26       Impact factor: 47.728

8.  Analysis of phosphorylation sites on proteins from Saccharomyces cerevisiae by electron transfer dissociation (ETD) mass spectrometry.

Authors:  An Chi; Curtis Huttenhower; Lewis Y Geer; Joshua J Coon; John E P Syka; Dina L Bai; Jeffrey Shabanowitz; Daniel J Burke; Olga G Troyanskaya; Donald F Hunt
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-07       Impact factor: 11.205

9.  Global landscape of protein complexes in the yeast Saccharomyces cerevisiae.

Authors:  Nevan J Krogan; Gerard Cagney; Haiyuan Yu; Gouqing Zhong; Xinghua Guo; Alexandr Ignatchenko; Joyce Li; Shuye Pu; Nira Datta; Aaron P Tikuisis; Thanuja Punna; José M Peregrín-Alvarez; Michael Shales; Xin Zhang; Michael Davey; Mark D Robinson; Alberto Paccanaro; James E Bray; Anthony Sheung; Bryan Beattie; Dawn P Richards; Veronica Canadien; Atanas Lalev; Frank Mena; Peter Wong; Andrei Starostine; Myra M Canete; James Vlasblom; Samuel Wu; Chris Orsi; Sean R Collins; Shamanta Chandran; Robin Haw; Jennifer J Rilstone; Kiran Gandi; Natalie J Thompson; Gabe Musso; Peter St Onge; Shaun Ghanny; Mandy H Y Lam; Gareth Butland; Amin M Altaf-Ul; Shigehiko Kanaya; Ali Shilatifard; Erin O'Shea; Jonathan S Weissman; C James Ingles; Timothy R Hughes; John Parkinson; Mark Gerstein; Shoshana J Wodak; Andrew Emili; Jack F Greenblatt
Journal:  Nature       Date:  2006-03-22       Impact factor: 49.962

10.  A single ataxia telangiectasia gene with a product similar to PI-3 kinase.

Authors:  K Savitsky; A Bar-Shira; S Gilad; G Rotman; Y Ziv; L Vanagaite; D A Tagle; S Smith; T Uziel; S Sfez; M Ashkenazi; I Pecker; M Frydman; R Harnik; S R Patanjali; A Simmons; G A Clines; A Sartiel; R A Gatti; L Chessa; O Sanal; M F Lavin; N G Jaspers; A M Taylor; C F Arlett; T Miki; S M Weissman; M Lovett; F S Collins; Y Shiloh
Journal:  Science       Date:  1995-06-23       Impact factor: 47.728

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  2 in total

Review 1.  Phosphoproteomics and lung cancer research.

Authors:  Elena López; William C S Cho
Journal:  Int J Mol Sci       Date:  2012-09-26       Impact factor: 5.923

2.  A method for sporulating budding yeast cells that allows for unbiased identification of kinase substrates using stable isotope labeling by amino acids in cell culture.

Authors:  Ray Suhandynata; Jason Liang; Claudio P Albuquerque; Huilin Zhou; Nancy M Hollingsworth
Journal:  G3 (Bethesda)       Date:  2014-08-27       Impact factor: 3.154

  2 in total

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