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Quantification of Multivalent Interactions by Tracking Single Biological Nanoparticle Mobility on a Lipid Membrane Full article

Journal Nano Letters
ISSN: 1530-6984 , E-ISSN: 1530-6992
Output data Year: 2016, Volume: 16, Number: 7, Pages: 4382-4390 Pages count : 9 DOI: 10.1021/acs.nanolett.6b01511
Tags free draining model, Multivalent interactions, Saffman-Delbrück model, single particle tracking, TIRF microscopy, transition rates
Authors Block Stephan 1 , Zhdanov Vladimir P. 1,2 , Höök Fredrik 1
Affiliations
1 Division of Biological Physics, Department of Physics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
2 Boreskov Institute of Catalysis, Russian Academy of Sciences, Novosibirsk 630090, Russia

Funding (3)

1 Swedish Research Council 2014-5557
2 Stiftelsen för strategisk forskning RMA11-0104
3 Knut and Alice Wallenberg Foundation 2012.0055

Abstract: Macromolecular association commonly occurs via dynamic engagement of multiple weak bonds referred to as multivalent interactions. The distribution of the number of bonds, combined with their strong influence on the residence time, makes it very demanding to quantify this type of interaction. To address this challenge in the context of virology, we mimicked the virion association to a cell membrane by attaching lipid vesicles (100 nm diameter) to a supported lipid bilayer via multiple, identical cholesterol-based DNA linker molecules, each mimicking an individual virion–receptor link. Using total internal reflection microscopy to track single attached vesicles combined with a novel filtering approach, we show that histograms of the vesicle diffusion coefficient D exhibit a spectrum of distinct peaks, which are associated with vesicles differing in the number, n, of linking DNA tethers. These peaks are only observed if vesicles with transient changes in n are excluded from the analysis. D is found to be proportional to 1/n, in excellent agreement with the free draining model, allowing to quantify transient changes of n on the single vesicle level and to extract transition rates between individual linking states. Necessary imaging conditions to extend the analysis to multivalent interactions in general are also reported.
Cite: Block S. , Zhdanov V.P. , Höök F.
Quantification of Multivalent Interactions by Tracking Single Biological Nanoparticle Mobility on a Lipid Membrane
Nano Letters. 2016. V.16. N7. P.4382-4390. DOI: 10.1021/acs.nanolett.6b01511 WOS Scopus РИНЦ ANCAN PMID OpenAlex
Dates:
Submitted: Apr 12, 2016
Accepted: May 26, 2016
Published online: Jun 8, 2016
Published print: Jul 13, 2016
Identifiers:
Web of science: WOS:000379794200060
Scopus: 2-s2.0-84978745080
Elibrary: 27075870
Chemical Abstracts: 2016:871397
Chemical Abstracts (print): 165:96788
PMID: 27241273
OpenAlex: W2418543950
Citing:
DB Citing
Web of science 55
Scopus 55
Elibrary 51
OpenAlex 68
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