Evidence map›Paper›PMID 22841002›Full record

ArticleMolecular cell2012

DNA sequence preferences of transcriptional activators correlate more strongly than repressors with nucleosomes.

Varodom Charoensawan, Sarath Chandra Janga, Martha L Bulyk, M Madan Babu, Sarah A Teichmann

Open access · hybridAbstract read
In one paragraph

Article in Molecular cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact, top 95% 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

15 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. How motif environment influences transcription factor search dynamics: Finding a needle in a haystack.BioEssays : news and reviews in molecular, cellular and developmental biology · 2016
    Review
  5. Article
  6. Article
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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

5 authors at 3 institutions in 3 countries.

Varodom CharoensawanMRC Laboratory of Molecular Biology, Hills Road, Cambridge CB2 0QH, UK. varodom.cha@mahidol.ac.th
Sarath Chandra Janga
Martha L Bulyk
M Madan Babu
Sarah A Teichmann
MRC Laboratory of Molecular Biology · GBBrigham and Women's Hospital · USIndiana University School of Medicine

Funding

Medical Research Council MC_U105185859Medical Research Council U105161047
6 · The paper itself

Abstract

Transcription factors (TFs) and histone octamers are two abundant classes of DNA binding proteins that coordinate the transcriptional program in cells. Detailed studies of individual TFs have shown that TFs bind to nucleosome-occluded DNA sequences and induce nucleosome disruption/repositioning, while recent global studies suggest this is not the only mechanism used by all TFs. We have analyzed to what extent the intrinsic DNA binding preferences of TFs and histones play a role in determining nucleosome occupancy, in addition to nonintrinsic factors such as the enzymatic activity of chromatin remodelers. The majority of TFs in budding yeast have an intrinsic sequence preference overlapping with nucleosomal histones. TFs with intrinsic DNA binding properties highly correlated with those of histones tend to be associated with gene activation and might compete with histones to bind to genomic DNA. Consistent with this, we show that activators induce more nucleosome disruption upon transcriptional activation than repressors.

Indexed as

Gene Expression Regulation, FungalTranscriptional ActivationBinding, CompetitiveBinding SitesChromatinDNA-Binding ProteinsHistonesModels, BiologicalNucleosomesPromoter Regions, GeneticProtein BindingSaccharomyces cerevisiaeTranscription, GeneticChromatinDNA-Binding ProteinsHistonesNucleosomes

Identifiers

PMID22841002
PMCPMC3566590
OpenAlexW1566839279

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.