Evidence map›Paper›PMID 21419760›Full record

ArticleDevelopmental biology2011

The representation of heart development in the gene ontology.

Varsha K Khodiyar, David P Hill, Doug Howe, Tanya Z Berardini, Susan Tweedie, Philippa J Talmud, Ross Breckenridge, Shoumo Bhattarcharya, Paul Riley, Peter Scambler and 1 more

Open access · greenAbstract read
In one paragraph

Article in Developmental biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. A review on Gene Ontology evaluations.Database : the journal of biological databases and curation · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Cilia, mitochondria, and cardiac development.The Journal of clinical investigation · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. A guide to best practices for Gene Ontology (GO) manual annotation.Database : the journal of biological databases and curation · 2013
    Article
  17. Article
  18. Ontology searching and browsing at the Rat Genome Database.Database : the journal of biological databases and curation · 2012
    Article
  19. The Gene Ontology: enhancements for 2011.Nucleic acids research · 2012
    Article
  20. 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

11 authors at 6 institutions in 2 countries.

Varsha K KhodiyarCardiovascular GO Annotation Initiative, Centre for Cardiovascular Genetics, Rayne Institute, University College London, London, UK. v.khodiyar@ucl.ac.uk
David P Hill
Doug Howe
Tanya Z Berardini
Susan Tweedie
Philippa J Talmud
Ross Breckenridge
Shoumo Bhattarcharya
Paul Riley
Peter Scambler
Ruth C Lovering
University College London · GBCarnegie Institution for Science · USCentre for Human Genetics · GBJackson Laboratory · USUniversity of Cambridge · GBUniversity of Oregon · US

Funding

Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
Gene Ontology ConsortiumP41HG002273 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A · 2004 to 2011
$27.4M
GENE ONTOLOGY CONSORTIUMR01HG002273 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A · 2001 to 2003
$5.8M
British Heart Foundation RG/10/13/28570British Heart Foundation RG/10/17/28553British Heart Foundation SP/07/007/23671NHGRI NIH HHS HG002273NHGRI NIH HHS P41 HG002273NHGRI NIH HHS R01 HG002273NHGRI NIH HHS U41 HG002273Wellcome Trust 090532
6 · The paper itself

Abstract

An understanding of heart development is critical in any systems biology approach to cardiovascular disease. The interpretation of data generated from high-throughput technologies (such as microarray and proteomics) is also essential to this approach. However, characterizing the role of genes in the processes underlying heart development and cardiovascular disease involves the non-trivial task of data analysis and integration of previous knowledge. The Gene Ontology (GO) Consortium provides structured controlled biological vocabularies that are used to summarize previous functional knowledge for gene products across all species. One aspect of GO describes biological processes, such as development and signaling. In order to support high-throughput cardiovascular research, we have initiated an effort to fully describe heart development in GO; expanding the number of GO terms describing heart development from 12 to over 280. This new ontology describes heart morphogenesis, the differentiation of specific cardiac cell types, and the involvement of signaling pathways in heart development. This work also aligns GO with the current views of the heart development research community and its representation in the literature. This extension of GO allows gene product annotators to comprehensively capture the genetic program leading to the developmental progression of the heart. This will enable users to integrate heart development data across species, resulting in the comprehensive retrieval of information about this subject. The revised GO structure, combined with gene product annotations, should improve the interpretation of data from high-throughput methods in a variety of cardiovascular research areas, including heart development, congenital cardiac disease, and cardiac stem cell research. Additionally, we invite the heart development community to contribute to the expansion of this important dataset for the benefit of future research in this area.

Indexed as

Databases, GeneticGene Expression ProfilingGene Expression Regulation, DevelopmentalAnimalsCell DifferentiationComputational BiologyGenetic Predisposition to DiseaseHeartHeart DiseasesHumansMyocardiumSignal TransductionVocabulary, Controlled

Identifiers

PMID21419760
PMCPMC3302178
OpenAlexW2045220705

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.