Evidence map›Paper›PMID 24496624›Full record

ArticleDevelopment (Cambridge, England)2014

Machine learning classification of cell-specific cardiac enhancers uncovers developmental subnetworks regulating progenitor cell division and cell fate specification.

Shaad M Ahmad, Brian W Busser, Di Huang, Elizabeth J Cozart, Sébastien Michaud, Xianmin Zhu, Neal Jeffries, Anton Aboukhalil, Martha L Bulyk, Ivan Ovcharenko and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Development (Cambridge, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 33 citations in OpenAlex.

  1. International journal of molecular sciences · 2025
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  12. Conserved signaling mechanisms in Drosophila heart development.Developmental dynamics : an official publication of the American Association of Anatomists · 2017
    Review
  13. Article
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  16. Genome-Wide Approaches to Drosophila Heart Development.Journal of cardiovascular development and disease · 2016
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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

11 authors at 5 institutions in 1 country.

Shaad M AhmadLaboratory of Developmental Systems Biology, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Brian W Busser
Di Huang
Elizabeth J Cozart
Sébastien Michaud
Xianmin Zhu
Neal Jeffries
Anton Aboukhalil
Martha L Bulyk
Ivan Ovcharenko
Alan M Michelson
National Institutes of Health · USBrigham and Women's Hospital · USHarvard University · USNational Center for Biotechnology Information · USNational Heart Lung and Blood Institute · US

Funding

Regulatory landscape of the human genome: comparative and evolutionary analysis.ZIALM200881 · NLM · NATIONAL LIBRARY OF MEDICINE · PI OVCHARENKO, IVAN · 2009 to 2025
$20.1M
Drosophila Transgenic RNAi Resource ProjectR01GM084947 · NIGMS · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2008 to 2019
$9.8M
High-Throughput Identification of Tissue/Cell-Type-Specific Cis Regulatory ModuleR01HG005287 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI BULYK, MARTHA L · 2010 to 2016
$3.4M
Integrative studies of heart and muscle developmental gene regulatory networksZIAHL006165 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI MICHELSON, ALAN · 2013 to 2015
$3.1M
Functional studies of individual transcription factors in mesoderm developmentZIAHL006164 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI MICHELSON, ALAN · 2013 to 2015
$1.6M
Intramural NIH HHSNHGRI NIH HHS R01 HG005287NIGMS NIH HHS R01 GM084947
6 · The paper itself

Abstract

The Drosophila heart is composed of two distinct cell types, the contractile cardial cells (CCs) and the surrounding non-muscle pericardial cells (PCs), development of which is regulated by a network of conserved signaling molecules and transcription factors (TFs). Here, we used machine learning with array-based chromatin immunoprecipitation (ChIP) data and TF sequence motifs to computationally classify cell type-specific cardiac enhancers. Extensive testing of predicted enhancers at single-cell resolution revealed the added value of ChIP data for modeling cell type-specific activities. Furthermore, clustering the top-scoring classifier sequence features identified novel cardiac and cell type-specific regulatory motifs. For example, we found that the Myb motif learned by the classifier is crucial for CC activity, and the Myb TF acts in concert with two forkhead domain TFs and Polo kinase to regulate cardiac progenitor cell divisions. In addition, differential motif enrichment and cis-trans genetic studies revealed that the Notch signaling pathway TF Suppressor of Hairless [Su(H)] discriminates PC from CC enhancer activities. Collectively, these studies elucidate molecular pathways used in the regulatory decisions for proliferation and differentiation of cardiac progenitor cells, implicate Su(H) in regulating cell fate decisions of these progenitors, and document the utility of enhancer modeling in uncovering developmental regulatory subnetworks.

Indexed as

AnimalsArtificial IntelligenceCell DifferentiationCell DivisionChromatin ImmunoprecipitationClassificationDrosophilaEnhancer Elements, GeneticGene Expression Regulation, DevelopmentalHeartMutagenesisMyoblasts, CardiacStem CellsTranscription FactorsTranscription FactorsCell divisionDrosophilaGene regulationMachine learningOrganogenesisProgenitor specificationTranscription factors

Identifiers

PMID24496624
PMCPMC3912831
OpenAlexW2021659821

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.