Shrinking gate fluorescence correlation spectroscopy yields equilibrium constants and separates photophysics from structural dynamics.
DNA origami
Förster resonance energy transfer
autocorrelation analysis
biophysics
time-gated fluorescence correlation spectroscopy
Journal
Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876
Informations de publication
Date de publication:
24 Jan 2023
24 Jan 2023
Historique:
entrez:
18
1
2023
pubmed:
19
1
2023
medline:
19
1
2023
Statut:
ppublish
Résumé
Fluorescence correlation spectroscopy is a versatile tool for studying fast conformational changes of biomolecules especially when combined with Förster resonance energy transfer (FRET). Despite the many methods available for identifying structural dynamics in FRET experiments, the determination of the forward and backward transition rate constants and thereby also the equilibrium constant is difficult when two intensity levels are involved. Here, we combine intensity correlation analysis with fluorescence lifetime information by including only a subset of photons in the autocorrelation analysis based on their arrival time with respect to the excitation pulse (microtime). By fitting the correlation amplitude as a function of microtime gate, the transition rate constants from two fluorescence-intensity level systems and the corresponding equilibrium constants are obtained. This shrinking-gate fluorescence correlation spectroscopy (sg-FCS) approach is demonstrated using simulations and with a DNA origami-based model system in experiments on immobilized and freely diffusing molecules. We further show that sg-FCS can distinguish photophysics from dynamic intensity changes even if a dark quencher, in this case graphene, is involved. Finally, we unravel the mechanism of a FRET-based membrane charge sensor indicating the broad potential of the method. With sg-FCS, we present an algorithm that does not require prior knowledge and is therefore easily implemented when an autocorrelation analysis is carried out on time-correlated single-photon data.
Identifiants
pubmed: 36652471
doi: 10.1073/pnas.2211896120
pmc: PMC9942831
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2211896120Subventions
Organisme : Deutsche Forschungsgemeinschaft (DFG)
ID : 201269156
Organisme : Bayerisches Staatsministerium für Bildung und Kultus, Wissenschaft und Kunst (Bavarian State Ministry of Education, Science and the Arts)
ID : Munich BioFab
Organisme : Deutsche Forschungsgemeinschaft (DFG)
ID : 470075523
Organisme : Deutsche Forschungsgemeinschaft (DFG)
ID : 267681426
Organisme : Deutsche Forschungsgemeinschaft (DFG)
ID : 459594986
Organisme : Deutsche Forschungsgemeinschaft (DFG)
ID : 2089/1-390776260
Références
J Mol Biol. 2011 Nov 18;414(1):96-105
pubmed: 22001020
Nat Commun. 2020 Mar 6;11(1):1231
pubmed: 32144241
Science. 2016 Oct 21;354(6310):305-307
pubmed: 27846560
Chemphyschem. 2011 Feb 25;12(3):532-41
pubmed: 21308943
Proc Natl Acad Sci U S A. 2018 Nov 27;115(48):E11274-E11283
pubmed: 30429330
Biophys J. 2000 Aug;79(2):1129-38
pubmed: 10920042
Nano Lett. 2021 Jan 13;21(1):840-846
pubmed: 33336573
Proc Natl Acad Sci U S A. 2023 Jan 24;120(4):e2211896120
pubmed: 36652471
Nat Cell Biol. 2005 Aug;7(8):808-16
pubmed: 16025105
Nano Lett. 2022 Aug 10;22(15):6454-6461
pubmed: 35792810
Anal Chem. 2022 Feb 8;94(5):2633-2640
pubmed: 35089694
J Phys Chem B. 2010 Jan 21;114(2):980-6
pubmed: 20030305
Angew Chem Int Ed Engl. 2008;47(29):5465-9
pubmed: 18601270
Biophys J. 2007 Mar 15;92(6):2184-98
pubmed: 17189306
Chemphyschem. 2005 Nov 11;6(11):2277-85
pubmed: 16224752
Nano Lett. 2019 Nov 13;19(11):8182-8190
pubmed: 31535868
J Phys Chem B. 2007 Jun 28;111(25):7392-400
pubmed: 17547447
J Phys Chem B. 2005 May 26;109(20):10025-34
pubmed: 16852213
Proc Natl Acad Sci U S A. 1998 Feb 17;95(4):1556-61
pubmed: 9465054
Biophys J. 2006 Sep 1;91(5):1941-51
pubmed: 16766620
J Phys Chem Lett. 2017 Dec 21;8(24):6022-6028
pubmed: 29183125
Chemphyschem. 2009 Jul 13;10(9-10):1389-98
pubmed: 19475638
ACS Nano. 2021 Apr 27;15(4):6430-6438
pubmed: 33834769
J Am Chem Soc. 2009 Apr 15;131(14):5018-9
pubmed: 19301868
Nucleic Acids Res. 2006 May 10;34(9):2516-27
pubmed: 16687657
Proc Natl Acad Sci U S A. 1998 Jul 21;95(15):8602-6
pubmed: 9671724
Proc Natl Acad Sci U S A. 2009 May 19;106(20):8107-12
pubmed: 19433792
J Am Chem Soc. 2002 Dec 4;124(48):14310-1
pubmed: 12452697
Nature. 2000 Sep 28;407(6803):491-3
pubmed: 11028995
Phys Rev Lett. 1993 Jun 7;70(23):3584-3587
pubmed: 10053911
Nat Methods. 2021 Apr;18(4):397-405
pubmed: 33686301
Nat Commun. 2022 Sep 14;13(1):5402
pubmed: 36104339
Biophys J. 2002 Oct;83(4):2300-17
pubmed: 12324447
Biopolymers. 1974 Jan;13(1):29-61
pubmed: 4818131
Nano Lett. 2019 Jul 10;19(7):4257-4262
pubmed: 31251640
Biophys J. 2005 Feb;88(2):1413-22
pubmed: 15556973
J Fluoresc. 1994 Sep;4(3):255-8
pubmed: 24233457
Bioarchitecture. 2014;4(4-5):127-37
pubmed: 25759911
J Biol Chem. 2011 Nov 18;286(46):39926-32
pubmed: 21940624
Adv Mater. 2021 Jun;33(24):e2101099
pubmed: 33938054
Biophys J. 1997 Apr;72(4):1878-86
pubmed: 9083691
J Phys Chem B. 2008 May 15;112(19):6137-46
pubmed: 18410159
Science. 2004 Oct 1;306(5693):108-11
pubmed: 15459390
Proc Natl Acad Sci U S A. 1994 Jun 21;91(13):5740-7
pubmed: 7517036
Nature. 2009 Feb 26;457(7233):1159-62
pubmed: 19098897