Evidence map›Paper›PMID 28315485›Full record

ArticleMethods (San Diego, Calif.)2017

Quantifying transcription factor binding dynamics at the single-molecule level in live cells.

Diego M Presman, David A Ball, Ville Paakinaho, Jonathan B Grimm, Luke D Lavis, Tatiana S Karpova, Gordon L Hager

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
–field-weighted citation impact
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

65 citing papers in PubMed.

  1. Article
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  5. Review
  6. Article
  7. Thioether editing generally increases the photostability of rhodamine dyes on self-labeling tags.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
  10. Experimental Approaches to Visualize Effector Protein Translocation During Host-Pathogen Interactions.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

7 authors.

Diego M PresmanLaboratory of Receptor Biology and Gene Expression, Building 41, 41 Library Drive, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
David A BallLaboratory of Receptor Biology and Gene Expression, Building 41, 41 Library Drive, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Ville PaakinahoLaboratory of Receptor Biology and Gene Expression, Building 41, 41 Library Drive, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Jonathan B GrimmJanelia Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, VA 20147, USA.
Luke D LavisJanelia Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, VA 20147, USA.
Tatiana S KarpovaLaboratory of Receptor Biology and Gene Expression, Building 41, 41 Library Drive, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Gordon L HagerLaboratory of Receptor Biology and Gene Expression, Building 41, 41 Library Drive, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. Electronic address: hagerg@exchange.nih.gov.

Funding

Function of Steroid Receptors in Subcellular CompartmentsZIABC010027 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HAGER, GORDON L · 2009 to 2025
$8.7M
Transcription factor mobilityZICBC011571 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KARPOVA, TATIANA · 2014 to 2025
$3.0M
FUNCTION OF STEROID RECEPTORS IN SUBCELLULAR COMPARTMENTSZ01BC010027 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HAGER, GORDON · 1996 to 2008
$492k
Howard Hughes Medical InstituteIntramural NIH HHS Z01 BC010027
6 · The paper itself

Abstract

Progressive, technological achievements in the quantitative fluorescence microscopy field are allowing researches from many different areas to start unraveling the dynamic intricacies of biological processes inside living cells. From super-resolution microscopy techniques to tracking of individual proteins, fluorescence microscopy is changing our perspective on how the cell works. Fortunately, a growing number of research groups are exploring single-molecule studies in living cells. However, no clear consensus exists on several key aspects of the technique such as image acquisition conditions, or analysis of the obtained data. Here, we describe a detailed approach to perform single-molecule tracking (SMT) of transcription factors in living cells to obtain key binding characteristics, namely their residence time and bound fractions. We discuss different types of fluorophores, labeling density, microscope, cameras, data acquisition, and data analysis. Using the glucocorticoid receptor as a model transcription factor, we compared alternate tags (GFP, mEOS, HaloTag, SNAP-tag, CLIP-tag) for potential multicolor applications. We also examine different methods to extract the dissociation rates and compare them with simulated data. Finally, we discuss several challenges that this exciting technique still faces.

Indexed as

AnimalsAntigens, Differentiation, B-LymphocyteCell Line, TumorEpithelial CellsGene Expression RegulationGreen Fluorescent ProteinsHep G2 CellsHistocompatibility Antigens Class IIHumansImage Processing, Computer-AssistedKineticsMCF-7 CellsMiceProtein BindingReceptors, GlucocorticoidRecombinant Fusion ProteinsAntigens, Differentiation, B-LymphocyteGreen Fluorescent ProteinsHistocompatibility Antigens Class IIinvariant chainReceptors, GlucocorticoidRecombinant Fusion ProteinsDNA bindingDynamicsFluorescence microscopyGlucocorticoid receptorSingle-molecule trackingTranscription factor

Identifiers

PMID28315485
PMCPMC5522764

What OpenQuestion holds

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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.