Evidence map›Paper›PMID 31307522›Full record

ArticleGenome biology2019

Stable enhancers are active in development, and fragile enhancers are associated with evolutionary adaptation.

Shan Li, Evgeny Z Kvon, Axel Visel, Len A Pennacchio, Ivan Ovcharenko

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Transcription Factor-Wide Association Studies to Identify Functional SNPs in Alzheimer's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  3. Article
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  5. Review
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  8. Accurate prediction ofNAR genomics and bioinformatics · 2021
    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

5 authors at 4 institutions in 1 country.

Shan LiComputational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20892, USA.
Evgeny Z KvonEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Axel ViselEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Len A PennacchioEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Ivan OvcharenkoComputational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20892, USA. ovcharen@nih.gov.
Lawrence Berkeley National Laboratory · USNational Center for Biotechnology Information · USUnited States Department of Energy · USUniversity of California, Berkeley · US

Funding

Generation of an In Vivo Human Genome Transcriptional Enhancer DatasetR01HG003988 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Len Alexander Pennacchio · 2006 to 2026
$24.1M
Regulatory landscape of the human genome: comparative and evolutionary analysis.ZIALM200881 · NLM · NATIONAL LIBRARY OF MEDICINE · PI OVCHARENKO, IVAN · 2009 to 2025
$20.1M
Functional assessment of enhancer-gene interactions in vivoK99HG009682 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI KVON, EVGENY · 2017 to 2018
$263k
NHGRI NIH HHS K99 HG009682NHGRI NIH HHS R01 HG003988NIH HHS K99HG009682NIH HHS R01HG003988
6 · The paper itself

Abstract

backgroundDespite continual progress in the identification and characterization of trait- and disease-associated variants that disrupt transcription factor (TF)-DNA binding, little is known about the distribution of TF binding deactivating mutations (deMs) in enhancer sequences. Here, we focus on elucidating the mechanism underlying the different densities of deMs in human enhancers.

resultsWe identify two classes of enhancers based on the density of nucleotides prone to deMs. Firstly, fragile enhancers with abundant deM nucleotides are associated with the immune system and regular cellular maintenance. Secondly, stable enhancers with only a few deM nucleotides are associated with the development and regulation of TFs and are evolutionarily conserved. These two classes of enhancers feature different regulatory programs: the binding sites of pioneer TFs of FOX family are specifically enriched in stable enhancers, while tissue-specific TFs are enriched in fragile enhancers. Moreover, stable enhancers are more tolerant of deMs due to their dominant employment of homotypic TF binding site (TFBS) clusters, as opposed to the larger-extent usage of heterotypic TFBS clusters in fragile enhancers. Notably, the sequence environment and chromatin context of the cognate motif, other than the motif itself, contribute more to the susceptibility to deMs of TF binding.

conclusionsThis dichotomy of enhancer activity is conserved across different tissues, has a specific footprint in epigenetic profiles, and argues for a bimodal evolution of gene regulatory programs in vertebrates. Specifically encoded stable enhancers are evolutionarily conserved and associated with development, while differently encoded fragile enhancers are associated with the adaptation of species.

Indexed as

Adaptation, BiologicalEnhancer Elements, GeneticEvolution, MolecularMutationAnimalsGenes, ReporterHep G2 CellsHumansMice, TransgenicCausal regulatory variantsEnhancerEvolution of gene regulationTranscription factor interactionTransgenic mouse reporter assay

Identifiers

PMID31307522
PMCPMC6631995
OpenAlexW2960219251

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.