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Integrated bioinformatics analysis of potential pathway biomarkers using abnormal proteins in clubfoot
BACKGROUND: As one of the most common major congenital distal skeletal abnormalities, congenital talipes equinovarus (clubfoot) affects approximately one in one thousandth newborns. Although several etiologies of clubfoot have been proposed and several genes have been identified as susceptible genes...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977474/ https://www.ncbi.nlm.nih.gov/pubmed/31998564 http://dx.doi.org/10.7717/peerj.8422 |
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author | Cai, Guiquan Yang, Xuan Chen, Ting Jin, Fangchun Ding, Jing Wu, Zhenkai |
author_facet | Cai, Guiquan Yang, Xuan Chen, Ting Jin, Fangchun Ding, Jing Wu, Zhenkai |
author_sort | Cai, Guiquan |
collection | PubMed |
description | BACKGROUND: As one of the most common major congenital distal skeletal abnormalities, congenital talipes equinovarus (clubfoot) affects approximately one in one thousandth newborns. Although several etiologies of clubfoot have been proposed and several genes have been identified as susceptible genes, previous studies did not further explore signaling pathways and potential upstream and downstream regulatory networks. Therefore, the aim of the present investigation is to explore abnormal pathways and their interactions in clubfoot using integrated bioinformatics analyses. METHODS: KEGG, gene ontology (GO), Reactome (REAC), WikiPathways (WP) or human phenotype ontology (HP) enrichment analysis were performed using WebGestalt, g:Profiler and NetworkAnalyst. RESULTS: A large number of signaling pathways were enriched e.g. signal transduction, disease, metabolism, gene expression (transcription), immune system, developmental biology, cell cycle, and ECM. Protein-protein interactions (PPIs) and gene regulatory networks (GRNs) analysis results indicated that extensive and complex interactions occur in these proteins, enrichment pathways, and TF-miRNA coregulatory networks. Transcription factors such as SOX9, CTNNB1, GLI3, FHL2, TGFBI and HOXD13, regulated these candidate proteins. CONCLUSION: The results of the present study supported previously proposed hypotheses, such as ECM, genetic, muscle, neurological, skeletal, and vascular abnormalities. More importantly, the enrichment results also indicated cellular or immune responses to external stimuli, and abnormal molecular transport or metabolism may be new potential etiological mechanisms of clubfoot. |
format | Online Article Text |
id | pubmed-6977474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69774742020-01-29 Integrated bioinformatics analysis of potential pathway biomarkers using abnormal proteins in clubfoot Cai, Guiquan Yang, Xuan Chen, Ting Jin, Fangchun Ding, Jing Wu, Zhenkai PeerJ Bioinformatics BACKGROUND: As one of the most common major congenital distal skeletal abnormalities, congenital talipes equinovarus (clubfoot) affects approximately one in one thousandth newborns. Although several etiologies of clubfoot have been proposed and several genes have been identified as susceptible genes, previous studies did not further explore signaling pathways and potential upstream and downstream regulatory networks. Therefore, the aim of the present investigation is to explore abnormal pathways and their interactions in clubfoot using integrated bioinformatics analyses. METHODS: KEGG, gene ontology (GO), Reactome (REAC), WikiPathways (WP) or human phenotype ontology (HP) enrichment analysis were performed using WebGestalt, g:Profiler and NetworkAnalyst. RESULTS: A large number of signaling pathways were enriched e.g. signal transduction, disease, metabolism, gene expression (transcription), immune system, developmental biology, cell cycle, and ECM. Protein-protein interactions (PPIs) and gene regulatory networks (GRNs) analysis results indicated that extensive and complex interactions occur in these proteins, enrichment pathways, and TF-miRNA coregulatory networks. Transcription factors such as SOX9, CTNNB1, GLI3, FHL2, TGFBI and HOXD13, regulated these candidate proteins. CONCLUSION: The results of the present study supported previously proposed hypotheses, such as ECM, genetic, muscle, neurological, skeletal, and vascular abnormalities. More importantly, the enrichment results also indicated cellular or immune responses to external stimuli, and abnormal molecular transport or metabolism may be new potential etiological mechanisms of clubfoot. PeerJ Inc. 2020-01-20 /pmc/articles/PMC6977474/ /pubmed/31998564 http://dx.doi.org/10.7717/peerj.8422 Text en ©2020 Cai et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Cai, Guiquan Yang, Xuan Chen, Ting Jin, Fangchun Ding, Jing Wu, Zhenkai Integrated bioinformatics analysis of potential pathway biomarkers using abnormal proteins in clubfoot |
title | Integrated bioinformatics analysis of potential pathway biomarkers using abnormal proteins in clubfoot |
title_full | Integrated bioinformatics analysis of potential pathway biomarkers using abnormal proteins in clubfoot |
title_fullStr | Integrated bioinformatics analysis of potential pathway biomarkers using abnormal proteins in clubfoot |
title_full_unstemmed | Integrated bioinformatics analysis of potential pathway biomarkers using abnormal proteins in clubfoot |
title_short | Integrated bioinformatics analysis of potential pathway biomarkers using abnormal proteins in clubfoot |
title_sort | integrated bioinformatics analysis of potential pathway biomarkers using abnormal proteins in clubfoot |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977474/ https://www.ncbi.nlm.nih.gov/pubmed/31998564 http://dx.doi.org/10.7717/peerj.8422 |
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