Evidence map›Paper›PMID 24499703›Full record

ArticleJournal of biomedical semantics2014

The pathway ontology - updates and applications.

Victoria Petri, Pushkala Jayaraman, Marek Tutaj, G Thomas Hayman, Jennifer R Smith, Jeff De Pons, Stanley Jf Laulederkind, Timothy F Lowry, Rajni Nigam, Shur-Jen Wang and 5 more

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Semantics-enabled biomedical literature analytics.Journal of biomedical informatics · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. The nonlinearity of regulation in biological networks.NPJ systems biology and applications · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Pathway Enrichment Analysis of Microarray Data.Methods in molecular biology (Clifton, N.J.) · 2022
    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

15 authors.

Victoria PetriHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, USA. vpetri@mcw.edu.
Pushkala Jayaraman
Marek Tutaj
G Thomas Hayman
Jennifer R Smith
Jeff De Pons
Stanley Jf Laulederkind
Timothy F Lowry
Rajni Nigam
Shur-Jen Wang
Mary Shimoyama
Melinda R Dwinell
Diane H Munzenmaier
Elizabeth A Worthey
Howard J Jacob

Funding

RAT GENOME DATABASER01HL064541 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI ANNE E. KWITEK · 1999 to 2026
$50.0M
NHLBI NIH HHS R01 HL064541
6 · The paper itself

Abstract

backgroundThe Pathway Ontology (PW) developed at the Rat Genome Database (RGD), covers all types of biological pathways, including altered and disease pathways and captures the relationships between them within the hierarchical structure of a directed acyclic graph. The ontology allows for the standardized annotation of rat, and of human and mouse genes to pathway terms. It also constitutes a vehicle for easy navigation between gene and ontology report pages, between reports and interactive pathway diagrams, between pathways directly connected within a diagram and between those that are globally related in pathway suites and suite networks. Surveys of the literature and the development of the Pathway and Disease Portals are important sources for the ongoing development of the ontology. User requests and mapping of pathways in other databases to terms in the ontology further contribute to increasing its content. Recently built automated pipelines use the mapped terms to make available the annotations generated by other groups.

resultsThe two released pipelines - the Pathway Interaction Database (PID) Annotation Import Pipeline and the Kyoto Encyclopedia of Genes and Genomes (KEGG) Annotation Import Pipeline, make available over 7,400 and 31,000 pathway gene annotations, respectively. Building the PID pipeline lead to the addition of new terms within the signaling node, also augmented by the release of the RGD "Immune and Inflammatory Disease Portal" at that time. Building the KEGG pipeline lead to a substantial increase in the number of disease pathway terms, such as those within the 'infectious disease pathway' parent term category. The 'drug pathway' node has also seen increases in the number of terms as well as a restructuring of the node. Literature surveys, disease portal deployments and user requests have contributed and continue to contribute additional new terms across the ontology. Since first presented, the content of PW has increased by over 75%.

conclusionsOngoing development of the Pathway Ontology and the implementation of pipelines promote an enriched provision of pathway data. The ontology is freely available for download and use from the RGD ftp site at ftp://rgd.mcw.edu/pub/ontology/pathway/ or from the National Center for Biomedical Ontology (NCBO) BioPortal website at http://bioportal.bioontology.org/ontologies/PW.

Identifiers

PMID24499703
PMCPMC3922094

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LicenceCC BY
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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.