The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development

Abstract Background Ontologies of precisely defined, controlled vocabularies are essential to curate the results of biological experiments such that the data are machine searchable, can be computationally analyzed, and are interoperable across the biomedical research continuum. There is also an incr...

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Main Authors: Malcolm E. Fisher, Erik Segerdell, Nicolas Matentzoglu, Mardi J. Nenni, Joshua D. Fortriede, Stanley Chu, Troy J. Pells, David Osumi-Sutherland, Praneet Chaturvedi, Christina James-Zorn, Nivitha Sundararaj, Vaneet S. Lotay, Virgilio Ponferrada, Dong Zhuo Wang, Eugene Kim, Sergei Agalakov, Bradley I. Arshinoff, Kamran Karimi, Peter D. Vize, Aaron M. Zorn
Format: Article
Language:English
Published: BMC 2022-03-01
Series:BMC Bioinformatics
Subjects:
Online Access:https://doi.org/10.1186/s12859-022-04636-8
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author Malcolm E. Fisher
Erik Segerdell
Nicolas Matentzoglu
Mardi J. Nenni
Joshua D. Fortriede
Stanley Chu
Troy J. Pells
David Osumi-Sutherland
Praneet Chaturvedi
Christina James-Zorn
Nivitha Sundararaj
Vaneet S. Lotay
Virgilio Ponferrada
Dong Zhuo Wang
Eugene Kim
Sergei Agalakov
Bradley I. Arshinoff
Kamran Karimi
Peter D. Vize
Aaron M. Zorn
author_facet Malcolm E. Fisher
Erik Segerdell
Nicolas Matentzoglu
Mardi J. Nenni
Joshua D. Fortriede
Stanley Chu
Troy J. Pells
David Osumi-Sutherland
Praneet Chaturvedi
Christina James-Zorn
Nivitha Sundararaj
Vaneet S. Lotay
Virgilio Ponferrada
Dong Zhuo Wang
Eugene Kim
Sergei Agalakov
Bradley I. Arshinoff
Kamran Karimi
Peter D. Vize
Aaron M. Zorn
author_sort Malcolm E. Fisher
collection DOAJ
description Abstract Background Ontologies of precisely defined, controlled vocabularies are essential to curate the results of biological experiments such that the data are machine searchable, can be computationally analyzed, and are interoperable across the biomedical research continuum. There is also an increasing need for methods to interrelate phenotypic data easily and accurately from experiments in animal models with human development and disease. Results Here we present the Xenopus phenotype ontology (XPO) to annotate phenotypic data from experiments in Xenopus, one of the major vertebrate model organisms used to study gene function in development and disease. The XPO implements design patterns from the Unified Phenotype Ontology (uPheno), and the principles outlined by the Open Biological and Biomedical Ontologies (OBO Foundry) to maximize interoperability with other species and facilitate ongoing ontology management. Constructed in Web Ontology Language (OWL) the XPO combines the existing uPheno library of ontology design patterns with additional terms from the Xenopus Anatomy Ontology (XAO), the Phenotype and Trait Ontology (PATO) and the Gene Ontology (GO). The integration of these different ontologies into the XPO enables rich phenotypic curation, whilst the uPheno bridging axioms allows phenotypic data from Xenopus experiments to be related to phenotype data from other model organisms and human disease. Moreover, the simple post-composed uPheno design patterns facilitate ongoing XPO development as the generation of new terms and classes of terms can be substantially automated. Conclusions The XPO serves as an example of current best practices to help overcome many of the inherent challenges in harmonizing phenotype data between different species. The XPO currently consists of approximately 22,000 terms and is being used to curate phenotypes by Xenbase, the Xenopus Model Organism Knowledgebase, forming a standardized corpus of genotype–phenotype data that can be directly related to other uPheno compliant resources.
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spelling doaj.art-c7e3060ff60a4f10a234811dc17e1bfc2022-12-21T21:11:26ZengBMCBMC Bioinformatics1471-21052022-03-0123111510.1186/s12859-022-04636-8The Xenopus phenotype ontology: bridging model organism phenotype data to human health and developmentMalcolm E. Fisher0Erik Segerdell1Nicolas Matentzoglu2Mardi J. Nenni3Joshua D. Fortriede4Stanley Chu5Troy J. Pells6David Osumi-Sutherland7Praneet Chaturvedi8Christina James-Zorn9Nivitha Sundararaj10Vaneet S. Lotay11Virgilio Ponferrada12Dong Zhuo Wang13Eugene Kim14Sergei Agalakov15Bradley I. Arshinoff16Kamran Karimi17Peter D. Vize18Aaron M. Zorn19Division of Developmental Biology, Cincinnati Children’s Hospital Medical CenterDivision of Developmental Biology, Cincinnati Children’s Hospital Medical CenterMonarch InitiativeDivision of Developmental Biology, Cincinnati Children’s Hospital Medical CenterDivision of Developmental Biology, Cincinnati Children’s Hospital Medical CenterDepartment of Biological Science, University of CalgaryDepartment of Biological Science, University of CalgaryEuropean Bioinformatics Institute (EMBL-EBI)Division of Developmental Biology, Cincinnati Children’s Hospital Medical CenterDivision of Developmental Biology, Cincinnati Children’s Hospital Medical CenterDivision of Developmental Biology, Cincinnati Children’s Hospital Medical CenterDepartment of Biological Science, University of CalgaryDivision of Developmental Biology, Cincinnati Children’s Hospital Medical CenterDepartment of Biological Science, University of CalgaryDepartment of Biological Science, University of CalgaryDepartment of Biological Science, University of CalgaryDepartment of Biological Science, University of CalgaryDepartment of Biological Science, University of CalgaryDepartment of Biological Science, University of CalgaryDivision of Developmental Biology, Cincinnati Children’s Hospital Medical CenterAbstract Background Ontologies of precisely defined, controlled vocabularies are essential to curate the results of biological experiments such that the data are machine searchable, can be computationally analyzed, and are interoperable across the biomedical research continuum. There is also an increasing need for methods to interrelate phenotypic data easily and accurately from experiments in animal models with human development and disease. Results Here we present the Xenopus phenotype ontology (XPO) to annotate phenotypic data from experiments in Xenopus, one of the major vertebrate model organisms used to study gene function in development and disease. The XPO implements design patterns from the Unified Phenotype Ontology (uPheno), and the principles outlined by the Open Biological and Biomedical Ontologies (OBO Foundry) to maximize interoperability with other species and facilitate ongoing ontology management. Constructed in Web Ontology Language (OWL) the XPO combines the existing uPheno library of ontology design patterns with additional terms from the Xenopus Anatomy Ontology (XAO), the Phenotype and Trait Ontology (PATO) and the Gene Ontology (GO). The integration of these different ontologies into the XPO enables rich phenotypic curation, whilst the uPheno bridging axioms allows phenotypic data from Xenopus experiments to be related to phenotype data from other model organisms and human disease. Moreover, the simple post-composed uPheno design patterns facilitate ongoing XPO development as the generation of new terms and classes of terms can be substantially automated. Conclusions The XPO serves as an example of current best practices to help overcome many of the inherent challenges in harmonizing phenotype data between different species. The XPO currently consists of approximately 22,000 terms and is being used to curate phenotypes by Xenbase, the Xenopus Model Organism Knowledgebase, forming a standardized corpus of genotype–phenotype data that can be directly related to other uPheno compliant resources.https://doi.org/10.1186/s12859-022-04636-8XenopusPhenotypesOntologyDisease models
spellingShingle Malcolm E. Fisher
Erik Segerdell
Nicolas Matentzoglu
Mardi J. Nenni
Joshua D. Fortriede
Stanley Chu
Troy J. Pells
David Osumi-Sutherland
Praneet Chaturvedi
Christina James-Zorn
Nivitha Sundararaj
Vaneet S. Lotay
Virgilio Ponferrada
Dong Zhuo Wang
Eugene Kim
Sergei Agalakov
Bradley I. Arshinoff
Kamran Karimi
Peter D. Vize
Aaron M. Zorn
The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development
BMC Bioinformatics
Xenopus
Phenotypes
Ontology
Disease models
title The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development
title_full The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development
title_fullStr The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development
title_full_unstemmed The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development
title_short The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development
title_sort xenopus phenotype ontology bridging model organism phenotype data to human health and development
topic Xenopus
Phenotypes
Ontology
Disease models
url https://doi.org/10.1186/s12859-022-04636-8
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