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Capturing heart valve development with Gene Ontology

Introduction: The normal development of all heart valves requires highly coordinated signaling pathways and downstream mediators. While genomic variants can be responsible for congenital valve disease, environmental factors can also play a role. Later in life valve calcification is a leading cause o...

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Autores principales: Ahmed, Saadullah H., Deng, Alexander T., Huntley, Rachael P., Campbell, Nancy H., Lovering, Ruth C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616796/
https://www.ncbi.nlm.nih.gov/pubmed/37915827
http://dx.doi.org/10.3389/fgene.2023.1251902
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author Ahmed, Saadullah H.
Deng, Alexander T.
Huntley, Rachael P.
Campbell, Nancy H.
Lovering, Ruth C.
author_facet Ahmed, Saadullah H.
Deng, Alexander T.
Huntley, Rachael P.
Campbell, Nancy H.
Lovering, Ruth C.
author_sort Ahmed, Saadullah H.
collection PubMed
description Introduction: The normal development of all heart valves requires highly coordinated signaling pathways and downstream mediators. While genomic variants can be responsible for congenital valve disease, environmental factors can also play a role. Later in life valve calcification is a leading cause of aortic valve stenosis, a progressive disease that may lead to heart failure. Current research into the causes of both congenital valve diseases and valve calcification is using a variety of high-throughput methodologies, including transcriptomics, proteomics and genomics. High quality genetic data from biological knowledge bases are essential to facilitate analyses and interpretation of these high-throughput datasets. The Gene Ontology (GO, http://geneontology.org/) is a major bioinformatics resource used to interpret these datasets, as it provides structured, computable knowledge describing the role of gene products across all organisms. The UCL Functional Gene Annotation team focuses on GO annotation of human gene products. Having identified that the GO annotations included in transcriptomic, proteomic and genomic data did not provide sufficient descriptive information about heart valve development, we initiated a focused project to address this issue. Methods: This project prioritized 138 proteins for GO annotation, which led to the curation of 100 peer-reviewed articles and the creation of 400 heart valve development-relevant GO annotations. Results: While the focus of this project was heart valve development, around 600 of the 1000 annotations created described the broader cellular role of these proteins, including those describing aortic valve morphogenesis, BMP signaling and endocardial cushion development. Our functional enrichment analysis of the 28 proteins known to have a role in bicuspid aortic valve disease confirmed that this annotation project has led to an improved interpretation of a heart valve genetic dataset. Discussion: To address the needs of the heart valve research community this project has provided GO annotations to describe the specific roles of key proteins involved in heart valve development. The breadth of GO annotations created by this project will benefit many of those seeking to interpret a wide range of cardiovascular genomic, transcriptomic, proteomic and metabolomic datasets.
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spelling pubmed-106167962023-11-01 Capturing heart valve development with Gene Ontology Ahmed, Saadullah H. Deng, Alexander T. Huntley, Rachael P. Campbell, Nancy H. Lovering, Ruth C. Front Genet Genetics Introduction: The normal development of all heart valves requires highly coordinated signaling pathways and downstream mediators. While genomic variants can be responsible for congenital valve disease, environmental factors can also play a role. Later in life valve calcification is a leading cause of aortic valve stenosis, a progressive disease that may lead to heart failure. Current research into the causes of both congenital valve diseases and valve calcification is using a variety of high-throughput methodologies, including transcriptomics, proteomics and genomics. High quality genetic data from biological knowledge bases are essential to facilitate analyses and interpretation of these high-throughput datasets. The Gene Ontology (GO, http://geneontology.org/) is a major bioinformatics resource used to interpret these datasets, as it provides structured, computable knowledge describing the role of gene products across all organisms. The UCL Functional Gene Annotation team focuses on GO annotation of human gene products. Having identified that the GO annotations included in transcriptomic, proteomic and genomic data did not provide sufficient descriptive information about heart valve development, we initiated a focused project to address this issue. Methods: This project prioritized 138 proteins for GO annotation, which led to the curation of 100 peer-reviewed articles and the creation of 400 heart valve development-relevant GO annotations. Results: While the focus of this project was heart valve development, around 600 of the 1000 annotations created described the broader cellular role of these proteins, including those describing aortic valve morphogenesis, BMP signaling and endocardial cushion development. Our functional enrichment analysis of the 28 proteins known to have a role in bicuspid aortic valve disease confirmed that this annotation project has led to an improved interpretation of a heart valve genetic dataset. Discussion: To address the needs of the heart valve research community this project has provided GO annotations to describe the specific roles of key proteins involved in heart valve development. The breadth of GO annotations created by this project will benefit many of those seeking to interpret a wide range of cardiovascular genomic, transcriptomic, proteomic and metabolomic datasets. Frontiers Media S.A. 2023-10-17 /pmc/articles/PMC10616796/ /pubmed/37915827 http://dx.doi.org/10.3389/fgene.2023.1251902 Text en Copyright © 2023 Ahmed, Deng, Huntley, Campbell and Lovering. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Ahmed, Saadullah H.
Deng, Alexander T.
Huntley, Rachael P.
Campbell, Nancy H.
Lovering, Ruth C.
Capturing heart valve development with Gene Ontology
title Capturing heart valve development with Gene Ontology
title_full Capturing heart valve development with Gene Ontology
title_fullStr Capturing heart valve development with Gene Ontology
title_full_unstemmed Capturing heart valve development with Gene Ontology
title_short Capturing heart valve development with Gene Ontology
title_sort capturing heart valve development with gene ontology
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616796/
https://www.ncbi.nlm.nih.gov/pubmed/37915827
http://dx.doi.org/10.3389/fgene.2023.1251902
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