Literature DB >> 18297654

Proteomic approaches to the analysis of multiprotein signaling complexes.

Wei Yang1, Hanno Steen, Michael R Freeman.   

Abstract

Signal transduction is one of the most active fields in modern biomedical research. Increasing evidence has shown that signaling proteins associate with each other in characteristic ways to form large signaling complexes. These diverse structures operate to boost signaling efficiency, ensure specificity and increase sensitivity of the biochemical circuitry. Traditional methods of protein analysis are inadequate to fully characterize and understand these structures, which are intricate, contain many components and are highly dynamic. Instead, proteomics technologies are currently being applied to investigate the nature and composition of multimeric signaling complexes. This review presents commonly used and potential proteomic methods of analyzing diverse protein complexes along with a discussion and a brief evaluation of alternative approaches. Challenges associated with proteomic analysis of signaling complexes are also discussed.

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Year:  2008        PMID: 18297654     DOI: 10.1002/pmic.200700650

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


  17 in total

1.  Quaternary diamines as mass spectrometry cleavable crosslinkers for protein interactions.

Authors:  Billy Clifford-Nunn; H D Hollis Showalter; Philip C Andrews
Journal:  J Am Soc Mass Spectrom       Date:  2011-12-01       Impact factor: 3.109

2.  Quantitative proteomics analysis reveals molecular networks regulated by epidermal growth factor receptor level in head and neck cancer.

Authors:  Wei Yang; Quan Cai; Vivian W Y Lui; Patrick A Everley; Jayoung Kim; Neil Bhola; Kelly M Quesnelle; Bruce R Zetter; Hanno Steen; Michael R Freeman; Jennifer R Grandis
Journal:  J Proteome Res       Date:  2010-06-04       Impact factor: 4.466

3.  Merging molecular electron microscopy and mass spectrometry by carbon film-assisted endoproteinase digestion.

Authors:  Florian M Richter; Bjoern Sander; Monika M Golas; Holger Stark; Henning Urlaub
Journal:  Mol Cell Proteomics       Date:  2010-06-08       Impact factor: 5.911

4.  Quantitative proteomics identifies a beta-catenin network as an element of the signaling response to Frizzled-8 protein-related antiproliferative factor.

Authors:  Wei Yang; Yeun Goo Chung; Yongsoo Kim; Taek-Kyun Kim; Susan K Keay; Chen-Ou Zhang; Mihee Ji; Daehee Hwang; Kwang Pyo Kim; Hanno Steen; Michael R Freeman; Jayoung Kim
Journal:  Mol Cell Proteomics       Date:  2011-03-21       Impact factor: 5.911

5.  Immuno-proteomics: Development of a novel reagent for separating antibodies from their target proteins.

Authors:  Vinitha Ganesan; Brigitte Schmidt; Raghunandan Avula; Dagney Cooke; Taylor Maggiacomo; Lawton Tellin; Dana P Ascherman; Marcel P Bruchez; Jonathan Minden
Journal:  Biochim Biophys Acta       Date:  2014-10-22

Review 6.  Scaffolds: interaction platforms for cellular signalling circuits.

Authors:  András Zeke; Melinda Lukács; Wendell A Lim; Attila Reményi
Journal:  Trends Cell Biol       Date:  2009-08-03       Impact factor: 20.808

Review 7.  Deciphering post-translational modification codes.

Authors:  Adam P Lothrop; Matthew P Torres; Stephen M Fuchs
Journal:  FEBS Lett       Date:  2013-02-10       Impact factor: 4.124

Review 8.  Applications of proteomics in the study of inflammatory bowel diseases: Current status and future directions with available technologies.

Authors:  Philip Alex; Marjan Gucek; Xuhang Li
Journal:  Inflamm Bowel Dis       Date:  2009-04       Impact factor: 5.325

9.  Proteome scale characterization of human S-acylated proteins in lipid raft-enriched and non-raft membranes.

Authors:  Wei Yang; Dolores Di Vizio; Marc Kirchner; Hanno Steen; Michael R Freeman
Journal:  Mol Cell Proteomics       Date:  2009-10-02       Impact factor: 5.911

Review 10.  Contributions of quantitative proteomics to understanding membrane microdomains.

Authors:  Yu Zi Zheng; Leonard J Foster
Journal:  J Lipid Res       Date:  2009-07-03       Impact factor: 5.922

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