Evidence map›Paper›PMID 24091704›Full record

ArticleScience (New York, N.Y.)2013

Measuring chromatin interaction dynamics on the second time scale at single-copy genes.

Kunal Poorey, Ramya Viswanathan, Melissa N Carver, Tatiana S Karpova, Shana M Cirimotich, James G McNally, Stefan Bekiranov, David T Auble

Open access · bronzeAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
6.9field-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

62 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. XL-DNase-Seq: Footprinting Analysis of Dynamic Transcription Factors.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  6. Article
  7. Genome-wide promoter assembly inGenome research · 2022
    Article
  8. Chromatin Immunoprecipitation Assays on Medulloblastoma Cell Line DAOY.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  9. Epigenetics of neural differentiation: Spotlight on enhancers.Frontiers in cell and developmental biology · 2022
    Review
  10. Transcription Factor Dynamics.Cold Spring Harbor perspectives in biology · 2021
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

2 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

8 authors at 2 institutions in 1 country.

Kunal PooreyDepartment of Biochemistry and Molecular Genetics, University of Virginia Health System, Charlottesville, VA 22908, USA.
Ramya Viswanathan
Melissa N Carver
Tatiana S Karpova
Shana M Cirimotich
James G McNally
Stefan Bekiranov
David T Auble
University of Virginia Health System · USCenter for Cancer Research · US

Funding

LRBGE Optical Microscopy CoreZICBC011574 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KARPOVA, TATIANA · 2014 to 2025
$7.4M
MOLECULAR ANALYSIS OF A YEAST TRANSCRIPTIONAL REGULATORR01GM055763 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI AUBLE, DAVID T. · 1997 to 2021
$6.4M
Intramural NIH HHSNIGMS NIH HHS GM55763NIGMS NIH HHS R01 GM055763
6 · The paper itself

Abstract

The chromatin immunoprecipitation (ChIP) assay is widely used to capture interactions between chromatin and regulatory proteins, but it is unknown how stable most native interactions are. Although live-cell imaging suggests short-lived interactions at tandem gene arrays, current methods cannot measure rapid binding dynamics at single-copy genes. We show, by using a modified ChIP assay with subsecond temporal resolution, that the time dependence of formaldehyde cross-linking can be used to extract in vivo on and off rates for site-specific chromatin interactions varying over a ~100-fold dynamic range. By using the method, we show that a regulatory process can shift weakly bound TATA-binding protein to stable promoter interactions, thereby facilitating transcription complex formation. This assay provides an approach for systematic, quantitative analyses of chromatin binding dynamics in vivo.

Indexed as

Gene Expression RegulationAdenosine TriphosphatasesChromatinChromatin ImmunoprecipitationCross-Linking ReagentsDNA-Binding ProteinsFormaldehydeGene DosageKineticsPromoter Regions, GeneticSaccharomyces cerevisiae ProteinsTATA-Binding Protein Associated FactorsTATA-Box Binding ProteinTranscription FactorsAdenosine TriphosphatasesChromatinCross-Linking ReagentsDNA-Binding ProteinsFormaldehydeGAL4 protein, S cerevisiaeMOT1 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsTATA-Binding Protein Associated FactorsTATA-Box Binding ProteinTranscription Factors

Identifiers

PMID24091704
PMCPMC3997053
OpenAlexW2033265108

What OpenQuestion holds

Textmetadata
LicenceTDM
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.