Evidence map›Paper›PMID 28359978›Full record

ReviewCurrent opinion in genetics & development2017

Transcription factor-DNA binding: beyond binding site motifs.

Sachi Inukai, Kian Hong Kock, Martha L Bulyk

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 207 papers.

0numbers the graph read from it
0cells of the map it votes in
207citing papers in PubMed
12.1field-weighted citation impact, top 1% 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

207 citing papers in PubMed, 411 citations in OpenAlex.

  1. Article
  2. Current Challenges of Transcription Compartmentalization Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
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  9. Cis-regulatory editing of SD1 promoter enhances TCP19-mediated repression to optimize plant height in Kam sweet rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  10. Probing transcription factor subsets in gene regulatory networks.Algorithms for molecular biology : AMB · 2026
    Article
  11. Article
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  14. Article
  15. Review
  16. Article
  17. Article
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  19. Article
  20. Article

147 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

3 authors at 1 institution in 1 country.

Sachi InukaiDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Kian Hong KockDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02138, USA.
Martha L BulykDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02138, USA; Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Electronic address: mlbulyk@genetics.med.harvard.edu.
Brigham and Women's Hospital · US

Funding

Universal, Compact Combinatorial Microarrays for DNA Binding Site DiscoveryR01HG003985 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI BULYK, MARTHA L · 2006 to 2017
$4.9M
NHGRI NIH HHS R01 HG003985
6 · The paper itself

Abstract

Sequence-specific transcription factors (TFs) regulate gene expression by binding to cis-regulatory elements in promoter and enhancer DNA. While studies of TF-DNA binding have focused on TFs' intrinsic preferences for primary nucleotide sequence motifs, recent studies have elucidated additional layers of complexity that modulate TF-DNA binding. In this review, we discuss technological developments for identifying TF binding preferences and highlight recent discoveries that elaborate how TF interactions, local DNA structure, and genomic features influence TF-DNA binding. We highlight novel approaches for characterizing functional binding site motifs that promise to inform our understanding of how TF binding controls gene expression and ultimately contributes to phenotype.

Indexed as

Binding SitesComputational BiologyDNADNA-Binding ProteinsGenomeNucleotide MotifsPromoter Regions, GeneticProtein BindingRegulatory Sequences, Nucleic AcidTranscription FactorsDNADNA-Binding ProteinsTranscription Factors

Identifiers

PMID28359978
PMCPMC5447501
OpenAlexW2602000457

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.