Evidence map›Paper›PMID 39085231›Full record

ArticleNature communications2024

Gapped-kmer sequence modeling robustly identifies regulatory vocabularies and distal enhancers conserved between evolutionarily distant mammals.

Jin Woo Oh, Michael A Beer

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. The Encyclopedia of DNA Elements.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
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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.

Jin Woo OhDepartment of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA.
Michael A BeerDepartment of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA. mbeer@jhu.edu.ORCID 0000-0001-9955-3809

Funding

Systematic Identification of Core Regulatory Circuitry from ENCODE DataU01HG009380 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI BEER, MICHAEL A · 2017 to 2021
$2.6M
Sequence-based Machine Learning for Inference of Dynamic Cell State Gene Network ModelsR01HG012367 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI BEER, MICHAEL A · 2022 to 2025
$1.8M
Using Syntenic Gapped-kmer Composition to Detect Conserved Enhancers where Sequence Alignment FailsR56HG012110 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI BEER, MICHAEL A · 2021 to 2021
$389k
NHGRI NIH HHS R01 HG012367NHGRI NIH HHS R56 HG012110NHGRI NIH HHS U01 HG009380
6 · The paper itself

Abstract

Gene regulatory elements drive complex biological phenomena and their mutations are associated with common human diseases. The impacts of human regulatory variants are often tested using model organisms such as mice. However, mapping human enhancers to conserved elements in mice remains a challenge, due to both rapid enhancer evolution and limitations of current computational methods. We analyze distal enhancers across 45 matched human/mouse cell/tissue pairs from a comprehensive dataset of DNase-seq experiments, and show that while cell-specific regulatory vocabulary is conserved, enhancers evolve more rapidly than promoters and CTCF binding sites. Enhancer conservation rates vary across cell types, in part explainable by tissue specific transposable element activity. We present an improved genome alignment algorithm using gapped-kmer features, called gkm-align, and make genome wide predictions for 1,401,803 orthologous regulatory elements. We show that gkm-align discovers 23,660 novel human/mouse conserved enhancers missed by previous algorithms, with strong evidence of conserved functional activity.

Indexed as

AlgorithmsConserved SequenceEnhancer Elements, GeneticAnimalsBinding SitesCCCTC-Binding FactorComputational BiologyEvolution, MolecularHumansMammalsMicePromoter Regions, GeneticCCCTC-Binding Factor

Identifiers

PMID39085231
PMCPMC11291912

What OpenQuestion holds

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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.