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Identification of biological pathways and genes associated with neurogenic heterotopic ossification by text mining
BACKGROUND: Neurogenic heterotopic ossification is a disorder of aberrant bone formation affecting one in five patients sustaining a spinal cord injury or traumatic brain injury (SCI-TBI-HO). However, the underlying mechanisms of SCI-TBI-HO have proven difficult to elucidate. The aim of the present...
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/PMC6944123/ https://www.ncbi.nlm.nih.gov/pubmed/31915578 http://dx.doi.org/10.7717/peerj.8276 |
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author | Zhang, Yichong Zhan, Yuanbo Kou, Yuhui Yin, Xiaofeng Wang, Yanhua Zhang, Dianying |
author_facet | Zhang, Yichong Zhan, Yuanbo Kou, Yuhui Yin, Xiaofeng Wang, Yanhua Zhang, Dianying |
author_sort | Zhang, Yichong |
collection | PubMed |
description | BACKGROUND: Neurogenic heterotopic ossification is a disorder of aberrant bone formation affecting one in five patients sustaining a spinal cord injury or traumatic brain injury (SCI-TBI-HO). However, the underlying mechanisms of SCI-TBI-HO have proven difficult to elucidate. The aim of the present study is to identify the most promising candidate genes and biological pathways for SCI-TBI-HO. METHODS: In this study, we used text mining to generate potential explanations for SCI-TBI-HO. Moreover, we employed several additional datasets, including gene expression profile data, drug data and tissue-specific gene expression data, to explore promising genes that associated with SCI-TBI-HO. RESULTS: We identified four SCI-TBI-HO-associated genes, including GDF15, LDLR, CCL2, and CLU. Finally, using enrichment analysis, we identified several pathways, including integrin signaling, insulin pathway, internalization of ErbB1, urokinase-type plasminogen activator and uPAR-mediated signaling, PDGFR-beta signaling pathway, EGF receptor (ErbB1) signaling pathway, and class I PI3K signaling events, which may be associated with SCI-TBI-HO. CONCLUSIONS: These results enhance our understanding of the molecular mechanisms of SCI-TBI-HO and offer new leads for researchers and innovative therapeutic strategies. |
format | Online Article Text |
id | pubmed-6944123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69441232020-01-08 Identification of biological pathways and genes associated with neurogenic heterotopic ossification by text mining Zhang, Yichong Zhan, Yuanbo Kou, Yuhui Yin, Xiaofeng Wang, Yanhua Zhang, Dianying PeerJ Bioinformatics BACKGROUND: Neurogenic heterotopic ossification is a disorder of aberrant bone formation affecting one in five patients sustaining a spinal cord injury or traumatic brain injury (SCI-TBI-HO). However, the underlying mechanisms of SCI-TBI-HO have proven difficult to elucidate. The aim of the present study is to identify the most promising candidate genes and biological pathways for SCI-TBI-HO. METHODS: In this study, we used text mining to generate potential explanations for SCI-TBI-HO. Moreover, we employed several additional datasets, including gene expression profile data, drug data and tissue-specific gene expression data, to explore promising genes that associated with SCI-TBI-HO. RESULTS: We identified four SCI-TBI-HO-associated genes, including GDF15, LDLR, CCL2, and CLU. Finally, using enrichment analysis, we identified several pathways, including integrin signaling, insulin pathway, internalization of ErbB1, urokinase-type plasminogen activator and uPAR-mediated signaling, PDGFR-beta signaling pathway, EGF receptor (ErbB1) signaling pathway, and class I PI3K signaling events, which may be associated with SCI-TBI-HO. CONCLUSIONS: These results enhance our understanding of the molecular mechanisms of SCI-TBI-HO and offer new leads for researchers and innovative therapeutic strategies. PeerJ Inc. 2020-01-03 /pmc/articles/PMC6944123/ /pubmed/31915578 http://dx.doi.org/10.7717/peerj.8276 Text en © 2020 Zhang 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 Zhang, Yichong Zhan, Yuanbo Kou, Yuhui Yin, Xiaofeng Wang, Yanhua Zhang, Dianying Identification of biological pathways and genes associated with neurogenic heterotopic ossification by text mining |
title | Identification of biological pathways and genes associated with neurogenic heterotopic ossification by text mining |
title_full | Identification of biological pathways and genes associated with neurogenic heterotopic ossification by text mining |
title_fullStr | Identification of biological pathways and genes associated with neurogenic heterotopic ossification by text mining |
title_full_unstemmed | Identification of biological pathways and genes associated with neurogenic heterotopic ossification by text mining |
title_short | Identification of biological pathways and genes associated with neurogenic heterotopic ossification by text mining |
title_sort | identification of biological pathways and genes associated with neurogenic heterotopic ossification by text mining |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944123/ https://www.ncbi.nlm.nih.gov/pubmed/31915578 http://dx.doi.org/10.7717/peerj.8276 |
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