Evidence map›Paper›PMID 16679358›Full record

ArticleBiophysical journal2006

Analysis of binding at a single spatially localized cluster of binding sites by fluorescence recovery after photobleaching.

Brian L Sprague, Florian Müller, Robert L Pego, Peter M Bungay, Diana A Stavreva, James G McNally

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
10.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 102 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Structural Study of DNA in Simulated Crowded Fluids.Chembiochem : a European journal of chemical biology · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Light and life in Baltimore--and beyond.Biophysical journal · 2015
    Article
  17. Article
  18. Spatial heterogeneity of dynamics of H1 linker histone.European biophysics journal : EBJ · 2014
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Brian L SpragueLaboratory of Receptor Biology and Gene Expression, NCI, National Institutes of Health, Bethesda, Maryland, USA.
Florian Müller
Robert L Pego
Peter M Bungay
Diana A Stavreva
James G McNally
National Institutes of Health · USCarnegie Mellon University · US

Funding

Transcription factor mobilityZIABC010561 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MCNALLY, JAMES G · 2009 to 2013
$3.9M
Transcription factor mobilityZ01BC010561 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MCNALLY, JAMES M · 2004 to 2008
$1.0M
Transcription Factor MobilityZ01EB000028 · NIBIB · BIOMEDICAL IMAGING & BIOENGINEERING · PI BUNGAY, PETER · 2007 to 2007
$0k
Transcription Factor MobilityZ01OD022002 · OD · OFFICE OF THE DIRECTOR, NIH · PI BUNGAY, PETER M · 2005 to 2006
–
Intramural NIH HHS
6 · The paper itself

Abstract

Cells contain many subcellular structures in which specialized proteins locally cluster. Binding interactions within such clusters may be analyzed in live cells using models for fluorescence recovery after photobleaching (FRAP). Here we analyze a three-dimensional FRAP model that accounts for a single spatially localized cluster of binding sites in the presence of both diffusion and impermeable boundaries. We demonstrate that models completely ignoring the spatial localization of binding yield poor estimates for the binding parameters within the binding site cluster. In contrast, we find that ignoring only the restricted axial height of the binding-site cluster is far less detrimental, thereby enabling the use of computationally less expensive models. We also identify simplified solutions to the FRAP model for limiting behaviors where either diffusion or binding dominate. We show how ignoring a role for diffusion can sometimes produce serious errors in binding parameter estimation. We illustrate application of the method by analyzing binding of a transcription factor, the glucocorticoid receptor, to a tandem array of mouse mammary tumor virus promoter sites in live cells, obtaining an estimate for an in vivo binding constant (10(-7) M), and a first approximation of an upper bound on the transcription-factor residence time at the promoter (approximately 170 ms). These FRAP analysis tools will be important for measuring key cellular binding parameters necessary for a complete and accurate description of the networks that regulate cellular behavior.

Indexed as

AlgorithmsModels, BiologicalAdenocarcinomaAnimalsBinding SitesCell Line, TumorCell NucleusCluster AnalysisComputer SimulationFluorescence Recovery After PhotobleachingMiceProtein BindingReceptors, GlucocorticoidReproducibility of ResultsSensitivity and SpecificityReceptors, Glucocorticoid

Identifiers

PMID16679358
PMCPMC1518639
OpenAlexW2059929101

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.