Evidence map›Paper›PMID 28827824›Full record

ArticlePLoS computational biology2017

Limb-Enhancer Genie: An accessible resource of accurate enhancer predictions in the developing limb.

Remo Monti, Iros Barozzi, Marco Osterwalder, Elizabeth Lee, Momoe Kato, Tyler H Garvin, Ingrid Plajzer-Frick, Catherine S Pickle, Jennifer A Akiyama, Veena Afzal and 4 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

19 citing papers in PubMed, 34 citations in OpenAlex.

  1. Lineage labeling with zebrafish hand2 Cre and CreERT2 recombinase CRISPR knock-ins.Developmental dynamics : an official publication of the American Association of Anatomists · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Lineage labeling with zebrafishbioRxiv : the preprint server for biology · 2024
    Article
  6. Article
  7. Article
  8. Identification and characterization of Hand2 upstream genomic enhancers active in developing stomach and limbs.Developmental dynamics : an official publication of the American Association of Anatomists · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. A Mutation in theG3 (Bethesda, Md.) · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Disrupting the three-dimensional regulatory topology of theDevelopment (Cambridge, England) · 2018
    Article
  19. Review
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

14 authors at 2 institutions in 2 countries.

Remo MontiLawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Iros BarozziLawrence Berkeley National Laboratory, Berkeley, California, United States of America.ORCID http://orcid.org/0000-0003-0690-3473
Marco OsterwalderLawrence Berkeley National Laboratory, Berkeley, California, United States of America.ORCID http://orcid.org/0000-0002-1969-2313
Elizabeth LeeLawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Momoe KatoLawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Tyler H GarvinLawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Ingrid Plajzer-FrickLawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Catherine S PickleLawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Jennifer A AkiyamaLawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Veena AfzalLawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Niko BeerenwinkelDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.ORCID http://orcid.org/0000-0002-0573-6119
Diane E DickelLawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Axel ViselLawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Len A PennacchioLawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Lawrence Berkeley National Laboratory · USETH Zurich · CH

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
Center for Mammalian Regulatory GenomicsU54HG006997 · NHGRI · LUDWIG INSTITUTE FOR CANCER RES LTD · PI REN, BING · 2012 to 2016
$14.3M
In Vivo Characterization of Major ENCODE-Predicted Classes of Noncoding ElementsUM1HG009421 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PENNACCHIO, LEN ALEXANDER, VISEL, AXEL · 2017 to 2021
$6.8M
Regulation of Cardiac Development in Health and DiseaseUM1HL098166 · NHLBI · HARVARD MEDICAL SCHOOL · PI PENNACCHIO, LEN ALEXANDER, PU, WILLIAM TSWENCHING · 2015 to 2019
$4.4M
Genome-Wide Resources for Transcriptional Enhancers Active in the Human HeartR24HL123879 · NHLBI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PENNACCHIO, LEN ALEXANDER, VISEL, AXEL · 2015 to 2019
$3.9M
NHGRI NIH HHS R01 HG003988NHGRI NIH HHS U54 HG006997NHGRI NIH HHS UM1 HG009421NHLBI NIH HHS R24 HL123879NHLBI NIH HHS UM1 HL098166
6 · The paper itself

Abstract

Epigenomic mapping of enhancer-associated chromatin modifications facilitates the genome-wide discovery of tissue-specific enhancers in vivo. However, reliance on single chromatin marks leads to high rates of false-positive predictions. More sophisticated, integrative methods have been described, but commonly suffer from limited accessibility to the resulting predictions and reduced biological interpretability. Here we present the Limb-Enhancer Genie (LEG), a collection of highly accurate, genome-wide predictions of enhancers in the developing limb, available through a user-friendly online interface. We predict limb enhancers using a combination of >50 published limb-specific datasets and clusters of evolutionarily conserved transcription factor binding sites, taking advantage of the patterns observed at previously in vivo validated elements. By combining different statistical models, our approach outperforms current state-of-the-art methods and provides interpretable measures of feature importance. Our results indicate that including a previously unappreciated score that quantifies tissue-specific nuclease accessibility significantly improves prediction performance. We demonstrate the utility of our approach through in vivo validation of newly predicted elements. Moreover, we describe general features that can guide the type of datasets to include when predicting tissue-specific enhancers genome-wide, while providing an accessible resource to the general biological community and facilitating the functional interpretation of genetic studies of limb malformations.

Indexed as

SoftwareAnimalsEnhancer Elements, GeneticExtremitiesGenomeGenomicsGrowth and DevelopmentMachine LearningMice

Identifiers

PMID28827824
PMCPMC5578682
OpenAlexW2748113845

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.