Abstract
The ABEL trap allows trapping of single biomolecules in solution for extended observation without immobilization. The essential idea combines fluorescence-based position estimation with fast electrokinetic feedback in a microfluidic geometry to counter the Brownian motion of a single nanoscale object, hence maintaining its position in the field of view for hundreds of milliseconds to seconds. Such prolonged observation of single proteins allows access to slow dynamics, as probed by any available photophysical observables. We have used the ABEL trap to study conformational dynamics of the β2-adrenergic receptor, a key G-protein coupled receptor and drug target, in the absence and presence of agonist. A single environment-sensitive dye reports on the receptor microenvironment, providing a real-time readout of conformational change for each trapped receptor. The focus of this paper will be a quantitative comparison of the ligandfree and agonist-bound receptor data from our ABEL trap experiments. We observe a small but clearly detectable shift in conformational equilibria and a lengthening of fluctuation timescales upon binding of agonist. In order to quantify the shift in state distributions and timescales, we apply nonparametric statistical tests to place error bounds on the resulting single-molecule distributions.
Original language | English |
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Title of host publication | Single Molecule Spectroscopy and Superresolution Imaging V |
Volume | 8228 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Event | Single Molecule Spectroscopy and Superresolution Imaging V - San Francisco, CA, United States of America Duration: 21 Jan 2012 → 22 Jan 2012 |
Conference
Conference | Single Molecule Spectroscopy and Superresolution Imaging V |
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Country/Territory | United States of America |
City | San Francisco, CA |
Period | 21/01/12 → 22/01/12 |
Keywords
- b2AR
- environment-sensitive dyes
- fluctuations
- fluorescence
- GPCR
- nonparametric statistics
- radiative rate
- single-molecule
- stretched exponential