Literature DB >> 17703509

Analysis of protein phosphorylation on a proteome-scale.

Mark O Collins1, Lu Yu, Jyoti S Choudhary.   

Abstract

Phosphorylation, the most intensively studied and common PTM on proteins, is a complex biological phenomenon. Its complexity manifests itself in the large numbers of proteins that attach it, remove it and recognise it as a protein code. Since the first report of protein phosphorylation on vitellin 100 years ago, a wide variety of biochemical and analytical chemical approaches have been developed to enrich and detect protein phosphorylation. The last 5 years have witnessed a renaissance in methodologies capable of characterising protein phosphorylation on a proteome-scale. These technological advances have allowed identification of hundreds to thousands of phosphorylation sites in a proteome and have resulted in a profound paradigm shift. For the first time, using quantitative MS, the topology and significance of global phosphorylation networks may be investigated, marking a new era of cell signalling research. This review addresses recent technological advances in the purification of phosphorylated proteins and peptides and current MS-based strategies used to qualitatively and quantitatively probe these enriched phosphoproteomes. In addition, we review the application of complementary array-based technologies to derive signalling networks from kinase-substrate interactions and discuss future challenges in the field.

Mesh:

Substances:

Year:  2007        PMID: 17703509     DOI: 10.1002/pmic.200700145

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  35 in total

Review 1.  Chasing phosphohistidine, an elusive sibling in the phosphoamino acid family.

Authors:  Jung-Min Kee; Tom W Muir
Journal:  ACS Chem Biol       Date:  2011-12-09       Impact factor: 5.100

Review 2.  Detection and analysis of protein histidine phosphorylation.

Authors:  Paul G Besant; Paul V Attwood
Journal:  Mol Cell Biochem       Date:  2009-04-23       Impact factor: 3.396

3.  Large-scale proteomics analysis of the human kinome.

Authors:  Felix S Oppermann; Florian Gnad; Jesper V Olsen; Renate Hornberger; Zoltán Greff; György Kéri; Matthias Mann; Henrik Daub
Journal:  Mol Cell Proteomics       Date:  2009-04-15       Impact factor: 5.911

4.  A portrait of tissue phosphoprotein stability in the clinical tissue procurement process.

Authors:  Virginia Espina; Kirsten H Edmiston; Michael Heiby; Mariaelena Pierobon; Manuela Sciro; Barbara Merritt; Stacey Banks; Jianghong Deng; Amy J VanMeter; David H Geho; Lucia Pastore; Joel Sennesh; Emanuel F Petricoin; Lance A Liotta
Journal:  Mol Cell Proteomics       Date:  2008-07-30       Impact factor: 5.911

Review 5.  Sperm chromatin: fertile grounds for proteomic discovery of clinical tools.

Authors:  Tammy F Wu; Diana S Chu
Journal:  Mol Cell Proteomics       Date:  2008-05-25       Impact factor: 5.911

6.  Motif-specific sampling of phosphoproteomes.

Authors:  Cristian I Ruse; Daniel B McClatchy; Bingwen Lu; Daniel Cociorva; Akira Motoyama; Sung Kyu Park; John R Yates
Journal:  J Proteome Res       Date:  2008-05       Impact factor: 4.466

7.  Systematic mapping of posttranslational modifications in human estrogen receptor-alpha with emphasis on novel phosphorylation sites.

Authors:  Christian Atsriku; David J Britton; Jason M Held; Birgit Schilling; Gary K Scott; Bradford W Gibson; Christopher C Benz; Michael A Baldwin
Journal:  Mol Cell Proteomics       Date:  2008-11-03       Impact factor: 5.911

8.  Towards the systematic discovery of signal transduction networks using phosphorylation dynamics data.

Authors:  Haruna Imamura; Nozomu Yachie; Rintaro Saito; Yasushi Ishihama; Masaru Tomita
Journal:  BMC Bioinformatics       Date:  2010-05-07       Impact factor: 3.169

9.  Phosphoproteomics profiling of human skin fibroblast cells reveals pathways and proteins affected by low doses of ionizing radiation.

Authors:  Feng Yang; Katrina M Waters; John H Miller; Marina A Gritsenko; Rui Zhao; Xiuxia Du; Eric A Livesay; Samuel O Purvine; Matthew E Monroe; Yingchun Wang; David G Camp; Richard D Smith; David L Stenoien
Journal:  PLoS One       Date:  2010-11-30       Impact factor: 3.240

10.  Cooperativity within proximal phosphorylation sites is revealed from large-scale proteomics data.

Authors:  Regev Schweiger; Michal Linial
Journal:  Biol Direct       Date:  2010-01-26       Impact factor: 4.540

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.