Evidence map›Paper›PMID 25383968›Full record

ArticleNature genetics2014

Analysis of nascent RNA identifies a unified architecture of initiation regions at mammalian promoters and enhancers.

Leighton J Core, André L Martins, Charles G Danko, Colin T Waters, Adam Siepel, John T Lis

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 446 papers.

0numbers the graph read from it
0cells of the map it votes in
446citing papers in PubMed
23.5field-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

446 citing papers in PubMed, 739 citations in OpenAlex.

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  10. Developmental expression of the skeletal muscle determination gene,bioRxiv : the preprint server for biology · 2026
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  15. CAD-C: An engineered nuclease enables repair-freebioRxiv : the preprint server for biology · 2026
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  16. The Encyclopedia of DNA Elements.bioRxiv : the preprint server for biology · 2026
    Article
  17. Article
  18. Review
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  20. Review

386 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Leighton J CoreDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA.
André L MartinsDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, USA.
Charles G DankoDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, USA.
Colin T WatersDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA.ORCID 0000000230960833
Adam SiepelDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, USA.
John T LisDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA.
Harvard University · USCornell University · US

Funding

COORDINATE GENE REGULATION IN ANIMAL CELLSR01GM025232 · NIGMS · CORNELL UNIVERSITY ITHACA · PI LIS, JOHN T · 1985 to 2020
$8.4M
COORDINATE GENE REGULATION IN ANIMAL CELLSR37GM025232 · NIGMS · CORNELL UNIVERSITY ITHACA · PI LIS, JOHN THOMAS · 1995 to 2004
$2.5M
Factor-general characterization of dynamic transcriptional stress responsesR01HG007070 · NHGRI · CORNELL UNIVERSITY · PI LIS, JOHN T, SIEPEL, ADAM CHARLES · 2013 to 2015
$1.0M
NHGRI NIH HHS HG0070707NHGRI NIH HHS R01 HG007070NIGMS NIH HHS GM25232NIGMS NIH HHS R01 GM025232NIGMS NIH HHS R37 GM025232
6 · The paper itself

Abstract

Despite the conventional distinction between them, promoters and enhancers share many features in mammals, including divergent transcription and similar modes of transcription factor binding. Here we examine the architecture of transcription initiation through comprehensive mapping of transcription start sites (TSSs) in human lymphoblastoid B cell (GM12878) and chronic myelogenous leukemic (K562) ENCODE Tier 1 cell lines. Using a nuclear run-on protocol called GRO-cap, which captures TSSs for both stable and unstable transcripts, we conduct detailed comparisons of thousands of promoters and enhancers in human cells. These analyses identify a common architecture of initiation, including tightly spaced (110 bp apart) divergent initiation, similar frequencies of core promoter sequence elements, highly positioned flanking nucleosomes and two modes of transcription factor binding. Post-initiation transcript stability provides a more fundamental distinction between promoters and enhancers than patterns of histone modification and association of transcription factors or co-activators. These results support a unified model of transcription initiation at promoters and enhancers.

Indexed as

Enhancer Elements, GeneticPromoter Regions, GeneticBinding SitesB-LymphocytesChromatinHistonesHumansK562 CellsMarkov ChainsModels, GeneticNucleosomesRegulatory Sequences, Nucleic AcidRNARNA SplicingTranscription, GeneticTranscription Initiation SiteChromatinHistonesNucleosomesRNA

Identifiers

PMID25383968
PMCPMC4254663
OpenAlexW2091533196

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.