Evidence map›Paper›PMID 24564528›Full record

ArticleBMC genomics2013

Cell-type and transcription factor specific enrichment of transcriptional cofactor motifs in ENCODE ChIP-seq data.

Chin Goi, Peter Little, Chao Xie

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. FHL2 in arterial medial calcification in chronic kidney disease.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Article
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  3. Review
  4. Accurate prediction ofNAR genomics and bioinformatics · 2021
    Article
  5. Pioneer factors and their in vitro identification methods.Molecular genetics and genomics : MGG · 2020
    Review
  6. GSMC: Combining Parallel Gibbs Sampling with Maximal Cliques for Hunting DNA Motif.Journal of computational biology : a journal of computational molecular cell biology · 2017
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

3 authors at 2 institutions in 1 country.

Chin Goi
Peter Little
Chao Xie
National University of Singapore · SGSingapore Centre for Environmental Life Sciences Engineering · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCell type and TF specific interactions between Transcription Factors (TFs) and cofactors are essential for transcriptional regulation through recruitment of general transcription machinery to gene promoter regions and their identification heavily reliant on protein interaction assays.

resultsUsing TF targeted chromatin immunoprecipitation coupled with massively parallel sequencing (ChIP-seq) data from Encyclopedia of DNA Elements (ENCODE), we report cell type and TF specific TF-cofactor interactions captured in vivo through enrichments of non target cofactor binding site motifs within ChIP-seq peaks. We observe enrichments in both known and novel cofactor motifs.

conclusionsGiven the regulatory implications which TF and cofactor interactions have on a cell's phenotype, their identification is necessary but challenging. Here we present the findings to our analyses surrounding the investigation of TF-cofactor interactions encoded within TF ChIP-seq peaks. Novel cofactor binding site enrichments observed provides valuable insight into TF and cell type specific interactions driving TF interactions.

Indexed as

Binding SitesAmino Acid MotifsChromatinChromatin ImmunoprecipitationChromosomes, HumanDNAGene Expression RegulationGene Regulatory NetworksHeLa CellsHep G2 CellsHigh-Throughput Nucleotide SequencingHumansK562 CellsPhenotypeTranscription FactorsChromatinDNATranscription Factors

Identifiers

PMID24564528
PMCPMC3852067
OpenAlexW2148451635

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.