Evidence map›Paper›PMID 23764940›Full record

ArticleNature protocols2013

Genome-wide measurement of protein-DNA binding dynamics using competition ChIP.

Colin R Lickwar, Florian Mueller, Jason D Lieb

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Gene transcription in bursting: a unified mode for realizing accuracy and stochasticity.Biological reviews of the Cambridge Philosophical Society · 2019
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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

3 authors.

Colin R LickwarDepartment of Biology, Carolina Center for the Genome Sciences, Curriculum in Genetics and Molecular Biology and Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina, USA.
Florian Mueller
Jason D Lieb

Funding

Uniting disparate fields to explore transcription factor binding dynamicsR01GM072518 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIEB, JASON D · 2005 to 2014
$2.5M
NIGMS NIH HHS R01 GM072518
6 · The paper itself

Abstract

Competition chromatin immunoprecipitation (competition ChIP) enables experimenters to measure protein-DNA dynamics at a single locus or across the entire genome, depending on the detection method. Competition ChIP relies on a cell containing two copies of a single DNA-associated factor, with each copy of the factor differentially epitope tagged. One of the copies is expressed constitutively and the second is induced as a competitor. The ratio of isoforms associated with discrete genomic locations is detected by ChIP-on-chip (ChIP-chip) or ChIP-sequencing (ChIP-seq). The rate at which the resident isoform of the protein is replaced by the competitor at each binding location enables the calculation of residence time for that factor at each site of interaction genome wide. Here we provide a detailed protocol for designing and performing competition ChIP experiments in Saccharomyces cerevisiae, which takes ∼5 d to complete (not including strain production and characterizations, which may take as long as 6 months). Included in this protocol are guidelines for downstream bioinformatic analysis to extract residence times throughout the genome.

Indexed as

Binding SitesChromatin ImmunoprecipitationDNAEpitopesGenomeProtein BindingProtein IsoformsProteinsSaccharomyces cerevisiaeSingle-Cell AnalysisDNAEpitopesProtein IsoformsProteins

Identifiers

PMID23764940

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.