Literature DB >> 18602005

Fluorescence-based methods in the study of protein-protein interactions in living cells.

Francisco Ciruela1.   

Abstract

Multiprotein complexes partake in nearly all cell functions, thus the characterization and visualization of protein-protein interactions in living cells constitute an important step in the study of a large array of cellular mechanisms. Recently, noninvasive fluorescence-based methods using resonance energy transfer (RET), namely bioluminescence-RET (BRET) and fluorescence-RET (FRET), and those centered on protein fragment complementation, such as bimolecular fluorescence complementation (BiFC), have been successfully used in the study of protein interactions. These new technologies are nowadays the most powerful approaches for visualizing the interactions occurring within protein complexes in living cells, thus enabling the investigation of protein behavior in their normal milieu. Here we address the individual strengths and weaknesses of these methods when applied to the study of protein-protein interactions.

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Year:  2008        PMID: 18602005     DOI: 10.1016/j.copbio.2008.06.003

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


  58 in total

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Authors:  Luigi F Agnati; Diego Guidolin; Jean Pierre Vilardaga; Francisco Ciruela; Kjell Fuxe
Journal:  J Recept Signal Transduct Res       Date:  2010-10       Impact factor: 2.092

2.  Breaking the covalent connection: Chain connectivity and the catalytic reaction of PMM/PGM.

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Journal:  Protein Sci       Date:  2010-06       Impact factor: 6.725

3.  Sensing muscle ischemia: coincident detection of acid and ATP via interplay of two ion channels.

Authors:  William T Birdsong; Leonardo Fierro; Frank G Williams; Valeria Spelta; Ligia A Naves; Michelle Knowles; Josephine Marsh-Haffner; John P Adelman; Wolfhard Almers; Robert P Elde; Edwin W McCleskey
Journal:  Neuron       Date:  2010-11-18       Impact factor: 17.173

4.  The statistics of protein expression ratios for cellular fluorescence studies.

Authors:  Elizabeth M Smith; Joachim D Mueller
Journal:  Eur Biophys J       Date:  2012-02-04       Impact factor: 1.733

5.  Detecting protein-protein interactions in living cells: development of a bioluminescence resonance energy transfer assay to evaluate the PSD-95/NMDA receptor interaction.

Authors:  Marie Gottschalk; Anders Bach; Jakob Lerche Hansen; Povl Krogsgaard-Larsen; Anders S Kristensen; Kristian Strømgaard
Journal:  Neurochem Res       Date:  2009-06-04       Impact factor: 3.996

6.  The mammalian-membrane two-hybrid assay (MaMTH) for probing membrane-protein interactions in human cells.

Authors:  Julia Petschnigg; Bella Groisman; Max Kotlyar; Mikko Taipale; Yong Zheng; Christoph F Kurat; Azin Sayad; J Rafael Sierra; Mojca Mattiazzi Usaj; Jamie Snider; Alex Nachman; Irina Krykbaeva; Ming-Sound Tsao; Jason Moffat; Tony Pawson; Susan Lindquist; Igor Jurisica; Igor Stagljar
Journal:  Nat Methods       Date:  2014-03-23       Impact factor: 28.547

7.  Nuclear import and assembly of influenza A virus RNA polymerase studied in live cells by fluorescence cross-correlation spectroscopy.

Authors:  Sébastien Huet; Sergiy V Avilov; Lars Ferbitz; Nathalie Daigle; Stephen Cusack; Jan Ellenberg
Journal:  J Virol       Date:  2009-11-11       Impact factor: 5.103

8.  Bimolecular fluorescence complementation.

Authors:  Katy A Wong; John P O'Bryan
Journal:  J Vis Exp       Date:  2011-04-15       Impact factor: 1.355

9.  A method for analyzing protein-protein interactions in the plasma membrane of live B cells by fluorescence resonance energy transfer imaging as acquired by total internal reflection fluorescence microscopy.

Authors:  Hae Won Sohn; Pavel Tolar; Joseph Brzostowski; Susan K Pierce
Journal:  Methods Mol Biol       Date:  2010

10.  Measuring the proximity of T-lymphocyte CXCR4 and TCR by fluorescence resonance energy transfer (FRET).

Authors:  Ashok Kumar; Kimberly N Kremer; Olivia L Sims; Karen E Hedin
Journal:  Methods Enzymol       Date:  2009       Impact factor: 1.600

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