Evidence map›Paper›PMID 24390306›Full record

ReviewHuman genetics2014

The grammar of transcriptional regulation.

Shira Weingarten-Gabbay, Eran Segal

Abstract readReview
In one paragraph

Review in Human genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
–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

55 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Conserved regions upstream ofFrontiers in plant science · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. The Non-continuum Nature of Eukaryotic Transcriptional Regulation.Advances in experimental medicine and biology · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors.

Shira Weingarten-GabbayDepartment of Computer Science, Applied Mathematics and Department of Molecular Cell Biology, Weizmann Institute of Science, 76100, Rehovot, Israel, shira.gabbay@weizmann.ac.il.
Eran Segal

Funding

Genome-wide analysis of regulated chromosomal domains: From mechanisms to cancerR01CA119176 · NCI · WEIZMANN INSTITUTE OF SCIENCE · PI REGEV, AVIV, SEGAL, ERAN · 2006 to 2015
$3.7M
NCI NIH HHS R01 CA119176
6 · The paper itself

Abstract

Eukaryotes employ combinatorial strategies to generate a variety of expression patterns from a relatively small set of regulatory DNA elements. As in any other language, deciphering the mapping between DNA and expression requires an understanding of the set of rules that govern basic principles in transcriptional regulation, the functional elements involved, and the ways in which they combine to orchestrate a transcriptional output. Here, we review the current understanding of various grammatical rules, including the effect on expression of the number of transcription factor binding sites, their location, orientation, affinity and activity; co-association with different factors; and intrinsic nucleosome organization. We review different methods that are used to study the grammar of transcription regulation, highlight gaps in current understanding, and discuss how recent technological advances may be utilized to bridge them.

Indexed as

Gene Expression RegulationTranscription, GeneticBinding SitesDNAHumansProtein BindingRegulatory Elements, TranscriptionalRNA, MessengerSequence Analysis, DNASequence Analysis, RNATranscription FactorsDNARNA, MessengerTranscription Factors

Identifiers

PMID24390306
PMCPMC4024068

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.