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Fluorescence of Alexa Fluor Dye Tracks Protein Folding

Overview of attention for article published in PLOS ONE, October 2012
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Title
Fluorescence of Alexa Fluor Dye Tracks Protein Folding
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046838
Pubmed ID
Authors

Simon Lindhoud, Adrie H. Westphal, Antonie J. W. G. Visser, Jan Willem Borst, Carlo P. M. van Mierlo

Abstract

Fluorescence spectroscopy is an important tool for the characterization of protein folding. Often, a protein is labeled with appropriate fluorescent donor and acceptor probes and folding-induced changes in Förster Resonance Energy Transfer (FRET) are monitored. However, conformational changes of the protein potentially affect fluorescence properties of both probes, thereby profoundly complicating interpretation of FRET data. In this study, we assess the effects protein folding has on fluorescence properties of Alexa Fluor 488 (A488), which is commonly used as FRET donor. Here, A488 is covalently attached to Cys69 of apoflavodoxin from Azotobacter vinelandii. Although coupling of A488 slightly destabilizes apoflavodoxin, the three-state folding of this protein, which involves a molten globule intermediate, is unaffected. Upon folding of apoflavodoxin, fluorescence emission intensity of A488 changes significantly. To illuminate the molecular sources of this alteration, we applied steady state and time-resolved fluorescence techniques. The results obtained show that tryptophans cause folding-induced changes in quenching of Alexa dye. Compared to unfolded protein, static quenching of A488 is increased in the molten globule. Upon populating the native state both static and dynamic quenching of A488 decrease considerably. We show that fluorescence quenching of Alexa Fluor dyes is a sensitive reporter of conformational changes during protein folding.

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The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 91 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 20%
Researcher 18 20%
Student > Bachelor 16 17%
Student > Master 8 9%
Student > Doctoral Student 4 4%
Other 11 12%
Unknown 17 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 20%
Agricultural and Biological Sciences 18 20%
Chemistry 8 9%
Physics and Astronomy 8 9%
Engineering 5 5%
Other 12 13%
Unknown 23 25%