Evidence map›Paper›PMID 27311442›Full record

ArticleGenome research2016

High-throughput functional comparison of promoter and enhancer activities.

Thomas A Nguyen, Richard D Jones, Andrew R Snavely, Andreas R Pfenning, Rory Kirchner, Martin Hemberg, Jesse M Gray

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing 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

89 citing papers in PubMed, 150 citations in OpenAlex.

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  18. Just a SNP away: The future ofCell insight · 2025
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  19. AnFrontiers in genetics · 2025
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  20. Review

29 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

7 authors at 3 institutions in 2 countries.

Thomas A NguyenDepartment of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA;
Richard D JonesDepartment of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA;
Andrew R SnavelyDepartment of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA;
Andreas R PfenningComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA;
Rory KirchnerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA;
Martin HembergWellcome Trust Sanger Institute, Hinxton, CB10 1SA, United Kingdom.
Jesse M GrayDepartment of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA;
Harvard University · USMassachusetts Institute of Technology · USWellcome Sanger Institute · GB

Funding

Mouse Neurodevelopmental Behavior CoreU54HD090255 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI STEVENS, BETH ANN · 2016 to 2020
$5.2M
The algorithms used by the genome to interpret neural activityR01MH101528 · NIMH · HARVARD MEDICAL SCHOOL · PI GRAY, JESSE MICHAEL · 2013 to 2017
$2.7M
NICHD NIH HHS U54 HD090255NIMH NIH HHS R01 MH101528
6 · The paper itself

Abstract

Promoters initiate RNA synthesis, and enhancers stimulate promoter activity. Whether promoter and enhancer activities are encoded distinctly in DNA sequences is unknown. We measured the enhancer and promoter activities of thousands of DNA fragments transduced into mouse neurons. We focused on genomic loci bound by the neuronal activity-regulated coactivator CREBBP, and we measured enhancer and promoter activities both before and after neuronal activation. We find that the same sequences typically encode both enhancer and promoter activities. However, gene promoters generate more promoter activity than distal enhancers, despite generating similar enhancer activity. Surprisingly, the greater promoter activity of gene promoters is not due to conventional core promoter elements or splicing signals. Instead, we find that particular transcription factor binding motifs are intrinsically biased toward the generation of promoter activity, whereas others are not. Although the specific biases we observe may be dependent on experimental or cellular context, our results suggest that gene promoters are distinguished from distal enhancers by specific complements of transcriptional activators.

Indexed as

Enhancer Elements, GeneticPromoter Regions, GeneticTranscription, GeneticAnimalsBinding SitesChromatinCREB-Binding ProteinDNA-Binding ProteinsMiceNeuronsProtein BindingSequence Analysis, DNAChromatinCREB-Binding ProteinCrebbp protein, mouseDNA-Binding Proteins

Identifiers

PMID27311442
PMCPMC4971761
OpenAlexW2424483111

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.