Literature DB >> 22404940

Factors affecting the quantification of biomolecular interactions by fluorescence cross-correlation spectroscopy.

Yong Hwee Foo1, Nikolaus Naredi-Rainer, Don C Lamb, Sohail Ahmed, Thorsten Wohland.   

Abstract

Fluorescence cross-correlation spectroscopy (FCCS) is used to determine interactions and dissociation constants (K(d)s) of biomolecules. The determination of a K(d) depends on the accurate measurement of the auto- and cross-correlation function (ACF and CCF) amplitudes. In the case of complete binding, the ratio of the CCF/ACF amplitudes is expected to be 1. However, measurements performed on tandem fluorescent proteins (FPs), in which two different FPs are linked, yield CCF/ACF amplitude ratios of ~0.5 or less for different FCCS schemes. We use single wavelength FCCS and pulsed interleaved excitation FCCS to measure various tandem FPs constituted of different red and green FPs and determine the causes for this suboptimal ratio. The main causes for the reduced CCF/ACF amplitude ratio are differences in observation volumes for the different labels, the existence of dark FPs due to maturation problems, photobleaching, and to a lesser extent Förster (or fluorescence) resonance energy transfer between the labels. We deduce the fraction of nonfluorescent proteins for EGFP, mRFP, and mCherry as well as the differences in observation volumes. We use this information to correct FCCS measurements of the interaction of Cdc42, a small Rho-GTPase, with its effector IQGAP1 in live cell measurements to obtain a label-independent value for the K(d).
Copyright © 2012 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22404940      PMCID: PMC3296031          DOI: 10.1016/j.bpj.2012.01.040

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  44 in total

1.  Fluorescence-intensity distribution analysis and its application in biomolecular detection technology.

Authors:  P Kask; K Palo; D Ullmann; K Gall
Journal:  Proc Natl Acad Sci U S A       Date:  1999-11-23       Impact factor: 11.205

2.  Simultaneous binding of two DNA duplexes to the NtrC-enhancer complex studied by two-color fluorescence cross-correlation spectroscopy.

Authors:  K Rippe
Journal:  Biochemistry       Date:  2000-03-07       Impact factor: 3.162

Review 3.  Rho GTPases in cell biology.

Authors:  Sandrine Etienne-Manneville; Alan Hall
Journal:  Nature       Date:  2002-12-12       Impact factor: 49.962

4.  Single wavelength excitation fluorescence cross-correlation spectroscopy with spectrally similar fluorophores: resolution for binding studies.

Authors:  Ling Chin Hwang; Thorsten Wohland
Journal:  J Chem Phys       Date:  2005-03-15       Impact factor: 3.488

5.  Determining protease activity in vivo by fluorescence cross-correlation analysis.

Authors:  Tobias Kohl; Elke Haustein; Petra Schwille
Journal:  Biophys J       Date:  2005-07-29       Impact factor: 4.033

6.  Dual-color photon counting histogram analysis of mRFP1 and EGFP in living cells.

Authors:  Lindsey N Hillesheim; Yan Chen; Joachim D Müller
Journal:  Biophys J       Date:  2006-09-15       Impact factor: 4.033

7.  Modular scanning FCS quantifies receptor-ligand interactions in living multicellular organisms.

Authors:  Jonas Ries; Shuizi Rachel Yu; Markus Burkhardt; Michael Brand; Petra Schwille
Journal:  Nat Methods       Date:  2009-08-02       Impact factor: 28.547

8.  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

9.  Mapping dynamic protein interactions in MAP kinase signaling using live-cell fluorescence fluctuation spectroscopy and imaging.

Authors:  Brian D Slaughter; Joel W Schwartz; Rong Li
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-12       Impact factor: 11.205

10.  Detection of ligand-induced CNTF receptor dimers in living cells by fluorescence cross correlation spectroscopy.

Authors:  Felix Neugart; Andrea Zappe; Deborah M Buk; Inna Ziegler; Steffen Steinert; Monika Schumacher; Eva Schopf; Ralph Bessey; Kathrin Wurster; Carsten Tietz; Michael Börsch; Jörg Wrachtrup; Lutz Graeve
Journal:  Biochim Biophys Acta       Date:  2009-05-29
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  41 in total

1.  Class A Plexins Are Organized as Preformed Inactive Dimers on the Cell Surface.

Authors:  Morgan Marita; Yuxiao Wang; Megan J Kaliszewski; Kevin C Skinner; William D Comar; Xiaojun Shi; Pranathi Dasari; Xuewu Zhang; Adam W Smith
Journal:  Biophys J       Date:  2015-11-03       Impact factor: 4.033

2.  Pulsed interleaved excitation fluctuation imaging.

Authors:  Jelle Hendrix; Waldemar Schrimpf; Matthias Höller; Don C Lamb
Journal:  Biophys J       Date:  2013-08-20       Impact factor: 4.033

3.  Quantitative in vivo fluorescence cross-correlation analyses highlight the importance of competitive effects in the regulation of protein-protein interactions.

Authors:  Wakako Sadaie; Yoshie Harada; Michiyuki Matsuda; Kazuhiro Aoki
Journal:  Mol Cell Biol       Date:  2014-06-23       Impact factor: 4.272

4.  Influence of FRET and fluorescent protein maturation on the quantification of binding affinity with dual-channel fluorescence cross-correlation spectroscopy.

Authors:  Varun K A Sreenivasan; Matthew S Graus; Rashmi R Pillai; Zhengmin Yang; Jesse Goyette; Katharina Gaus
Journal:  Biomed Opt Express       Date:  2020-10-07       Impact factor: 3.732

5.  Number and Brightness Analysis: Visualization of Protein Oligomeric State in Living Cells.

Authors:  Ryosuke Fukushima; Johtaro Yamamoto; Masataka Kinjo
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

6.  Ligand-Induced Coupling between Oligomers of the M2 Receptor and the Gi1 Protein in Live Cells.

Authors:  Yuchong Li; Rabindra V Shivnaraine; Fei Huang; James W Wells; Claudiu C Gradinaru
Journal:  Biophys J       Date:  2018-08-08       Impact factor: 4.033

7.  Bayesian model selection applied to the analysis of fluorescence correlation spectroscopy data of fluorescent proteins in vitro and in vivo.

Authors:  Guangyu Sun; Syuan-Ming Guo; Cathleen Teh; Vladimir Korzh; Mark Bathe; Thorsten Wohland
Journal:  Anal Chem       Date:  2015-04-08       Impact factor: 6.986

8.  Effects of multiple scattering on fluorescence correlation spectroscopy measurements of particles moving within optically dense media.

Authors:  Silviya Zustiak; Jason Riley; Hacène Boukari; Amir Gandjbakhche; Ralph Nossal
Journal:  J Biomed Opt       Date:  2012-12       Impact factor: 3.170

Review 9.  Quantifying intracellular dynamics using fluorescence fluctuation spectroscopy.

Authors:  Mark A Hink
Journal:  Protoplasma       Date:  2014-01-14       Impact factor: 3.356

10.  Splitting the Difference: Sorting Photons to Improve Quantitative Measurements in Correlation Spectroscopy.

Authors:  Thorsten Wohland
Journal:  Biophys J       Date:  2020-08-20       Impact factor: 4.033

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