Literature DB >> 11733045

Fluorescence correlation spectroscopy measures molecular transport in cells.

E L Elson1.   

Abstract

Fluorescence correlation spectroscopy (FCS) can measure dynamics of fluorescent molecules in cells. FCS measures the fluctuations in the number of fluorescent molecules in a small volume illuminated by a thin beam of excitation light. These fluctuations are processed statistically to yield an autocorrelation function from which rates of diffusion, convection, chemical reaction, and other processes can be extracted. The advantages of this approach include the ability to measure the mobility of a very small number of molecules, even down to the single molecule level, over a wide range of rates in very small regions of a cell. In addition to rates of diffusion and convection, FCS also provides unique information about the local concentration, states of aggregation and molecular interaction using fluctuation amplitude and cross-correlation methods. Recent advances in technology have rendered these once difficult measurements accessible to routine use in cell biology and biochemistry. This review provides a summary of the FCS method and describes current areas in which the FCS approach is being extended beyond its original scope.

Mesh:

Year:  2001        PMID: 11733045     DOI: 10.1034/j.1600-0854.2001.21107.x

Source DB:  PubMed          Journal:  Traffic        ISSN: 1398-9219            Impact factor:   6.215


  40 in total

1.  Analysis of binding reactions by fluorescence recovery after photobleaching.

Authors:  Brian L Sprague; Robert L Pego; Diana A Stavreva; James G McNally
Journal:  Biophys J       Date:  2004-06       Impact factor: 4.033

2.  Bayesian estimation for species identification in single-molecule fluorescence microscopy.

Authors:  Kevin McHale; Andrew J Berglund; Hideo Mabuchi
Journal:  Biophys J       Date:  2004-06       Impact factor: 4.033

3.  Fluorescence correlation spectroscopy studies of Peptide and protein binding to phospholipid vesicles.

Authors:  Laura Rusu; Alok Gambhir; Stuart McLaughlin; Joachim Rädler
Journal:  Biophys J       Date:  2004-08       Impact factor: 4.033

4.  The Pseudo signal peptide of the corticotropin-releasing factor receptor type 2A prevents receptor oligomerization.

Authors:  Anke Teichmann; Claudia Rutz; Annika Kreuchwig; Gerd Krause; Burkhard Wiesner; Ralf Schülein
Journal:  J Biol Chem       Date:  2012-06-11       Impact factor: 5.157

5.  Event ordering in live-cell imaging determined from temporal cross-correlation asymmetry.

Authors:  Daniel R Sisan; Defne Yarar; Clare M Waterman; Jeffrey S Urbach
Journal:  Biophys J       Date:  2010-06-02       Impact factor: 4.033

6.  Cross-validating FRAP and FCS to quantify the impact of photobleaching on in vivo binding estimates.

Authors:  Timothy J Stasevich; Florian Mueller; Ariel Michelman-Ribeiro; Tilman Rosales; Jay R Knutson; James G McNally
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

7.  Photobleaching, mobility, and compartmentalisation: inferences in fluorescence correlation spectroscopy.

Authors:  A Delon; Y Usson; J Derouard; T Biben; C Souchier
Journal:  J Fluoresc       Date:  2004-05       Impact factor: 2.217

8.  Measuring unfolding of proteins in the presence of denaturant using fluorescence correlation spectroscopy.

Authors:  Krishnananda Chattopadhyay; Saveez Saffarian; Elliot L Elson; Carl Frieden
Journal:  Biophys J       Date:  2004-11-19       Impact factor: 4.033

9.  Molecular brightness determined from a generalized form of Mandel's Q-parameter.

Authors:  Alvaro Sanchez-Andres; Yan Chen; Joachim D Müller
Journal:  Biophys J       Date:  2005-09-02       Impact factor: 4.033

10.  Accuracy and dynamic range of spatial image correlation and cross-correlation spectroscopy.

Authors:  Santiago Costantino; Jonathan W D Comeau; David L Kolin; Paul W Wiseman
Journal:  Biophys J       Date:  2005-05-27       Impact factor: 4.033

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