Literature DB >> 17640003

Methods for the detection and analysis of protein-protein interactions.

Tord Berggård1, Sara Linse, Peter James.   

Abstract

A large number of methods have been developed over the years to study protein-protein interactions. Many of these techniques are now available to the nonspecialist researcher thanks to new affordable instruments and/or resource centres. A typical protein-protein interaction study usually starts with an initial screen for novel binding partners. We start this review by describing three techniques that can be used for this purpose: (i) affinity-tagged proteins (ii) the two-hybrid system and (iii) some quantitative proteomic techniques that can be used in combination with, e.g., affinity chromatography and coimmunoprecipitation for screening of protein-protein interactions. We then describe some public protein-protein interaction databases that can be searched to identify previously reported interactions for a given bait protein. Four strategies for validation of protein-protein interactions are presented: confocal microscopy for intracellular colocalization of proteins, coimmunoprecipitation, surface plasmon resonance (SPR) and spectroscopic studies. Throughout the review we focus particularly on the advantages and limitations of each method.

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Year:  2007        PMID: 17640003     DOI: 10.1002/pmic.200700131

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


  161 in total

1.  Monoclonal antibodies against the propeptide of endopeptidase AlpB of Lysobacter sp. XL1 for studying AlpB-protein interactions in bacterial cells.

Authors:  L A Krasovskaya; N V Rudenko; S G Abbasova; O P Shuvalova; E O Vidyagina; N A Sukharicheva; L A Ledova; O A Stepnaya; I S Kulaev
Journal:  Dokl Biochem Biophys       Date:  2012-01-06       Impact factor: 0.788

2.  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

Review 3.  Tools for protein-protein interaction network analysis in cancer research.

Authors:  Rebeca Sanz-Pamplona; Antoni Berenguer; Xavier Sole; David Cordero; Marta Crous-Bou; Jordi Serra-Musach; Elisabet Guinó; Miguel Ángel Pujana; Víctor Moreno
Journal:  Clin Transl Oncol       Date:  2012-01       Impact factor: 3.405

Review 4.  Tools used to study how protein complexes are assembled in signaling cascades.

Authors:  Susan Dwane; Patrick A Kiely
Journal:  Bioeng Bugs       Date:  2011-09-01

5.  Integrative structure modeling of macromolecular assemblies from proteomics data.

Authors:  Keren Lasker; Jeremy L Phillips; Daniel Russel; Javier Velázquez-Muriel; Dina Schneidman-Duhovny; Elina Tjioe; Ben Webb; Avner Schlessinger; Andrej Sali
Journal:  Mol Cell Proteomics       Date:  2010-05-27       Impact factor: 5.911

Review 6.  Fine-tuning multiprotein complexes using small molecules.

Authors:  Andrea D Thompson; Amanda Dugan; Jason E Gestwicki; Anna K Mapp
Journal:  ACS Chem Biol       Date:  2012-07-23       Impact factor: 5.100

7.  Note: Model identification and analysis of bivalent analyte surface plasmon resonance data.

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Journal:  Rev Sci Instrum       Date:  2015-10       Impact factor: 1.523

8.  Free-solution label-free detection of alpha-crystallin chaperone interactions by back-scattering interferometry.

Authors:  Joey C Latham; Richard A Stein; Darryl J Bornhop; Hassane S Mchaourab
Journal:  Anal Chem       Date:  2009-03-01       Impact factor: 6.986

9.  Quantitative Assessment of the Effects of Trypsin Digestion Methods on Affinity Purification-Mass Spectrometry-based Protein-Protein Interaction Analysis.

Authors:  Yueqing Zhang; Hong Sun; Jing Zhang; Allan R Brasier; Yingxin Zhao
Journal:  J Proteome Res       Date:  2017-07-20       Impact factor: 4.466

10.  Contribution of Bcl-2 phosphorylation to Bak binding and drug resistance.

Authors:  Haiming Dai; Husheng Ding; X Wei Meng; Sun-Hee Lee; Paula A Schneider; Scott H Kaufmann
Journal:  Cancer Res       Date:  2013-10-04       Impact factor: 12.701

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