Literature DB >> 12124251

Fluorescence intensity and lifetime distribution analysis: toward higher accuracy in fluorescence fluctuation spectroscopy.

Kaupo Palo1, Leif Brand, Christian Eggeling, Stefan Jäger, Peet Kask, Karsten Gall.   

Abstract

Fluorescence fluctuation methods such as fluorescence correlation spectroscopy and fluorescence intensity distribution analysis (FIDA) have proven to be versatile tools for studying molecular interactions with single molecule sensitivity. Another well-known fluorescence technique is the measurement of the fluorescence lifetime. Here, we introduce a method that combines the benefits of both FIDA and fluorescence lifetime analysis. It is based on fitting the two-dimensional histogram of the number of photons detected in counting time intervals of given width and the sum of excitation to detection delay times of these photons. Referred to as fluorescence intensity and lifetime distribution analysis (FILDA), the technique distinguishes fluorescence species on the basis of both their specific molecular brightness and the lifetime of the excited state and is also able to determine absolute fluorophore concentrations. The combined information yielded by FILDA results in significantly increased accuracy compared to that of FIDA or fluorescence lifetime analysis alone. In this paper, the theory of FILDA is elaborated and applied to both simulated and experimental data. The outstanding power of this technique in resolving different species is shown by quantifying the binding of calmodulin to a peptide ligand, thus indicating the potential for application of FILDA to similar problems in the life sciences.

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Year:  2002        PMID: 12124251      PMCID: PMC1302173          DOI: 10.1016/S0006-3495(02)75195-3

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  22 in total

1.  Fluorescence-intensity distribution analysis and its application in biomolecular detection technology.

Authors:  P Kask; K Palo; D Ullmann; K Gall
Journal:  Proc Natl Acad Sci U S A       Date:  1999-11-23       Impact factor: 11.205

2.  A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assays.

Authors: 
Journal:  J Biomol Screen       Date:  1999

3.  Fluorescence intensity multiple distributions analysis: concurrent determination of diffusion times and molecular brightness.

Authors:  K Palo; U Mets; S Jäger; P Kask; K Gall
Journal:  Biophys J       Date:  2000-12       Impact factor: 4.033

4.  Activation of calcium/calmodulin regulated kinases.

Authors:  M Wilmann; M Gautel; O Mayans
Journal:  Cell Mol Biol (Noisy-le-grand)       Date:  2000-07       Impact factor: 1.770

5.  Target enzyme recognition by calmodulin: 2.4 A structure of a calmodulin-peptide complex.

Authors:  W E Meador; A R Means; F A Quiocho
Journal:  Science       Date:  1992-08-28       Impact factor: 47.728

6.  Dynamics of fluorescence marker concentration as a probe of mobility.

Authors:  D E Koppel; D Axelrod; J Schlessinger; E L Elson; W W Webb
Journal:  Biophys J       Date:  1976-11       Impact factor: 4.033

7.  Structure of calmodulin refined at 2.2 A resolution.

Authors:  Y S Babu; C E Bugg; W J Cook
Journal:  J Mol Biol       Date:  1988-11-05       Impact factor: 5.469

Review 8.  Ca2+-dependent phospholipid- (and membrane-) binding proteins.

Authors:  C B Klee
Journal:  Biochemistry       Date:  1988-09-06       Impact factor: 3.162

9.  Specificity and symmetry in the interaction of calmodulin domains with the skeletal muscle myosin light chain kinase target sequence.

Authors:  A Barth; S R Martin; P M Bayley
Journal:  J Biol Chem       Date:  1998-01-23       Impact factor: 5.157

10.  Modulation of calmodulin plasticity in molecular recognition on the basis of x-ray structures.

Authors:  W E Meador; A R Means; F A Quiocho
Journal:  Science       Date:  1993-12-10       Impact factor: 47.728

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  8 in total

1.  Rapid analysis of Forster resonance energy transfer by two-color global fluorescence correlation spectroscopy: trypsin proteinase reaction.

Authors:  Christian Eggeling; Peet Kask; Dirk Winkler; Stefan Jäger
Journal:  Biophys J       Date:  2005-04-22       Impact factor: 4.033

2.  Calculation of photon-count number distributions via master equations.

Authors:  Kaupo Palo; Ulo Mets; Vello Loorits; Peet Kask
Journal:  Biophys J       Date:  2005-12-30       Impact factor: 4.033

3.  Initial guesses generation for Fluorescence Intensity Distribution Analysis.

Authors:  Victor V Skakun; Eugene G Novikov; Vladimir V Apanasovich; Hans J Tanke; André M Deelder; Oleg A Mayboroda
Journal:  Eur Biophys J       Date:  2006-03-28       Impact factor: 1.733

Review 4.  Fluorescence correlation spectroscopy: past, present, future.

Authors:  Elliot L Elson
Journal:  Biophys J       Date:  2011-12-20       Impact factor: 4.033

Review 5.  Lessons in fluctuation correlation spectroscopy.

Authors:  Michelle A Digman; Enrico Gratton
Journal:  Annu Rev Phys Chem       Date:  2011       Impact factor: 12.703

6.  Single-molecule photon stamping FRET spectroscopy study of enzymatic conformational dynamics.

Authors:  Yufan He; Maolin Lu; H Peter Lu
Journal:  Phys Chem Chem Phys       Date:  2013-01-21       Impact factor: 3.676

7.  Resolving fluorescent species by their brightness and diffusion using correlated photon-counting histograms.

Authors:  Nathan Scales; Peter S Swain
Journal:  PLoS One       Date:  2019-12-30       Impact factor: 3.240

8.  Multi-Wavelength Fluorescence in Image-Guided Surgery, Clinical Feasibility and Future Perspectives.

Authors:  Florian van Beurden; Danny M van Willigen; Borivoj Vojnovic; Matthias N van Oosterom; Oscar R Brouwer; Henk G van der Poel; Hisataka Kobayashi; Fijs W B van Leeuwen; Tessa Buckle
Journal:  Mol Imaging       Date:  2020 Jan-Dec       Impact factor: 4.488

  8 in total

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