Literature DB >> 18590817

High confidence determination of specific protein-protein interactions using quantitative mass spectrometry.

Michiel Vermeulen1, Nina C Hubner, Matthias Mann.   

Abstract

In recent years, interactions between proteins have successfully been determined by mass spectrometry. A limitation of this technology has been the need for extensive purification, which restricts throughput and implies a tradeoff between specificity and the ability to detect weak or transient interactions. Quantitative proteomics sidesteps this problem by directly comparing specific and control pull-downs. Specific interaction partners are revealed by their quantitative ratios rather than by gel-based visualization and can be retrieved from a vast excess of background proteins. This principle is revolutionizing the protein interaction field as demonstrated by recent applications in fields as diverse as tyrosine signaling pathways, cell adhesion, and chromatin biology.

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Year:  2008        PMID: 18590817     DOI: 10.1016/j.copbio.2008.06.001

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  59 in total

1.  Human protein reference database and human proteinpedia as discovery resources for molecular biotechnology.

Authors:  Renu Goel; Babylakshmi Muthusamy; Akhilesh Pandey; T S Keshava Prasad
Journal:  Mol Biotechnol       Date:  2011-05       Impact factor: 2.695

2.  Extending the dynamic range of label-free mass spectrometric quantification of affinity purifications.

Authors:  Wolfgang Bildl; Alexander Haupt; Catrin S Müller; Martin L Biniossek; Jörg Oliver Thumfart; Björn Hüber; Bernd Fakler; Uwe Schulte
Journal:  Mol Cell Proteomics       Date:  2011-11-08       Impact factor: 5.911

Review 3.  Profiling of protein interaction networks of protein complexes using affinity purification and quantitative mass spectrometry.

Authors:  Robyn M Kaake; Xiaorong Wang; Lan Huang
Journal:  Mol Cell Proteomics       Date:  2010-05-05       Impact factor: 5.911

Review 4.  Decoding signalling networks by mass spectrometry-based proteomics.

Authors:  Chunaram Choudhary; Matthias Mann
Journal:  Nat Rev Mol Cell Biol       Date:  2010-05-12       Impact factor: 94.444

5.  The cellular protein lyric interacts with HIV-1 Gag.

Authors:  Christine E Engeland; Heike Oberwinkler; Michael Schümann; Eberhard Krause; Gerd A Müller; Hans-Georg Kräusslich
Journal:  J Virol       Date:  2011-09-28       Impact factor: 5.103

Review 6.  Proteomic analysis of stem cell differentiation and early development.

Authors:  Dennis van Hoof; Jeroen Krijgsveld; Christine Mummery
Journal:  Cold Spring Harb Perspect Biol       Date:  2012-03-01       Impact factor: 10.005

7.  A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics.

Authors:  Jürgen Cox; Ivan Matic; Maximiliane Hilger; Nagarjuna Nagaraj; Matthias Selbach; Jesper V Olsen; Matthias Mann
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

Review 8.  Quantifying proteomes and their post-translational modifications by stable isotope label-based mass spectrometry.

Authors:  Anna E Merrill; Joshua J Coon
Journal:  Curr Opin Chem Biol       Date:  2013-07-05       Impact factor: 8.822

9.  In Vivo Interaction Proteomics in Caenorhabditis elegans Embryos Provides New Insights into P Granule Dynamics.

Authors:  Jia-Xuan Chen; Patricia G Cipriani; Desirea Mecenas; Jolanta Polanowska; Fabio Piano; Kristin C Gunsalus; Matthias Selbach
Journal:  Mol Cell Proteomics       Date:  2016-02-24       Impact factor: 5.911

10.  GProX, a user-friendly platform for bioinformatics analysis and visualization of quantitative proteomics data.

Authors:  Kristoffer T G Rigbolt; Jens T Vanselow; Blagoy Blagoev
Journal:  Mol Cell Proteomics       Date:  2011-05-20       Impact factor: 5.911

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