Fluorescence correlation spectroscopy: the technique and its applications
By O. Krichevsky, G. Bonnet. 2002
764 citations recorded by the source corpus.
Subfields: Biophysics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/6d414d16e999e2004219ba574471750a0ac1d1bb
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In Biophysics
- M. Grimaldo
- Paul C. Wang
- F. Roosen‐Runge
- R. Sridhar
- Stephen Lin
- David Baker
- Fajun Zhang
- Frank Schreiber
In Molecular Biology
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- David E. Kim
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Citations in the corpus
- Structural Dynamics of the YidC:Ribosome Complex during Membrane Protein Biogenesis (2016, methodology): “Binding of the nanodiscembedded YidC (YidC-ND) to ribosomes was assayed using fluorescence correlation spectroscopy (FCS) by measuring changes in the translational diffusion of the fluorescently labeled YidC-ND (Figure 2B) (Krichevsky and Bonnet, 2002; Wu et al., 2012).”
- Rapid spontaneous accessibility of nucleosomal DNA (2005, background): “A second approach is based on fluorescence correlation spectroscopy (FCS) of small numbers of nucleosomes at a time, diffusing freely in dilute solutio”
- Bayesian analysis of single‐molecule experimental data (2005, background): “In the closed state, the two ends pair together and the whole structure resembles a hairpin, whereas in the open states the intramolecular pairings are broken (Bonnet et al., 1998; Krichevsky and Bonnet, 2002).”
- Sampling bottlenecks in de novo protein structure prediction (2009, positive): “Fluorescence correlation spectroscopy (FCS) probes the hydrodynamic properties of macromolecules by recording fluctuations in the fluorescence they emit.(22) We employed FCS to measure the hydrodynamic radii of CTPR proteins in dilute solutions, in both their folded and their unfolded states.”
- Dynamics of proteins in solution (2019, methodology): “Lund University Libraries, on 13 Jun 2019 at 12:19:07, subject to the Cambridge Core terms of use, available at (Lippincott-Schwartz et al., 2001; Krichevsky and Bonnet, 2002; Di Rienzo et al., 2014), while cross correlations of two dyes allow for a dynamical picture of binding and protein…”
- Techniques for physicochemical characterization of nanomaterials (2013, methodology): “Similar in function to DLS, which detects spontaneous intensity fluctuation caused by molecular diffusion, aggregation or interaction with respect to time, FCS can yield quantitative information such as diffusion coefficients, hydrodynamic radii, average concentrations and kinetic chemical reaction ”