Cargando…

Identification of the Biomarkers and Pathological Process of Heterotopic Ossification: Weighted Gene Co-Expression Network Analysis

Heterotopic ossification (HO) is the formation of abnormal mature lamellar bone in extra-skeletal sites, including soft tissues and joints, which result in high rates of disability. The understanding of the mechanism of HO is insufficient. The aim of this study was to explore biomarkers and patholog...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Shuang, Tian, Jun, Wang, Jianzhong, Liu, Sizhu, Ke, Lianwei, Shang, Chaojiang, Yang, Jichun, Wang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774600/
https://www.ncbi.nlm.nih.gov/pubmed/33391181
http://dx.doi.org/10.3389/fendo.2020.581768
_version_ 1783630300596666368
author Wang, Shuang
Tian, Jun
Wang, Jianzhong
Liu, Sizhu
Ke, Lianwei
Shang, Chaojiang
Yang, Jichun
Wang, Lin
author_facet Wang, Shuang
Tian, Jun
Wang, Jianzhong
Liu, Sizhu
Ke, Lianwei
Shang, Chaojiang
Yang, Jichun
Wang, Lin
author_sort Wang, Shuang
collection PubMed
description Heterotopic ossification (HO) is the formation of abnormal mature lamellar bone in extra-skeletal sites, including soft tissues and joints, which result in high rates of disability. The understanding of the mechanism of HO is insufficient. The aim of this study was to explore biomarkers and pathological processes in HO+ samples. The gene expression profile GSE94683 was downloaded from the Gene Expression Omnibus database. Sixteen samples from nine HO- and seven HO+ subjects were analyzed. After data preprocessing, 3,529 genes were obtained for weighted gene co-expression network analysis. Highly correlated genes were divided into 13 modules. Finally, the cyan and purple modules were selected for further study. Gene ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment indicated that the cyan module was enriched in a variety of components, including protein binding, membrane, nucleoplasm, cytosol, poly(A) RNA binding, biosynthesis of antibiotics, carbon metabolism, endocytosis, citrate cycle, and metabolic pathways. In addition, the purple module was enriched in cytosol, mitochondrion, protein binding, structural constituent of ribosome, rRNA processing, oxidative phosphorylation, ribosome, and non-alcoholic fatty liver disease. Finally, 10 hub genes in the cyan module [actin related protein 3 (ACTR3), ADP ribosylation factor 4 (ARF4), progesterone receptor membrane component 1 (PGRMC1), ribosomal protein S23 (RPS23), mannose-6-phosphate receptor (M6PR), WD repeat domain 12 (WDR12), synaptosome associated protein 23 (SNAP23), actin related protein 2 (ACTR2), siah E3 ubiquitin protein ligase 1 (SIAH1), and glomulin (GLMN)] and 2 hub genes in the purple module [proteasome 20S subunit alpha 3 (PSMA3) and ribosomal protein S27 like (RPS27L)] were identified. Hub genes were validated through quantitative real-time polymerase chain reaction. In summary, 12 hub genes were identified in two modules that were associated with HO. These hub genes could provide new biomarkers, therapeutic ideas, and targets in HO.
format Online
Article
Text
id pubmed-7774600
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-77746002021-01-01 Identification of the Biomarkers and Pathological Process of Heterotopic Ossification: Weighted Gene Co-Expression Network Analysis Wang, Shuang Tian, Jun Wang, Jianzhong Liu, Sizhu Ke, Lianwei Shang, Chaojiang Yang, Jichun Wang, Lin Front Endocrinol (Lausanne) Endocrinology Heterotopic ossification (HO) is the formation of abnormal mature lamellar bone in extra-skeletal sites, including soft tissues and joints, which result in high rates of disability. The understanding of the mechanism of HO is insufficient. The aim of this study was to explore biomarkers and pathological processes in HO+ samples. The gene expression profile GSE94683 was downloaded from the Gene Expression Omnibus database. Sixteen samples from nine HO- and seven HO+ subjects were analyzed. After data preprocessing, 3,529 genes were obtained for weighted gene co-expression network analysis. Highly correlated genes were divided into 13 modules. Finally, the cyan and purple modules were selected for further study. Gene ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment indicated that the cyan module was enriched in a variety of components, including protein binding, membrane, nucleoplasm, cytosol, poly(A) RNA binding, biosynthesis of antibiotics, carbon metabolism, endocytosis, citrate cycle, and metabolic pathways. In addition, the purple module was enriched in cytosol, mitochondrion, protein binding, structural constituent of ribosome, rRNA processing, oxidative phosphorylation, ribosome, and non-alcoholic fatty liver disease. Finally, 10 hub genes in the cyan module [actin related protein 3 (ACTR3), ADP ribosylation factor 4 (ARF4), progesterone receptor membrane component 1 (PGRMC1), ribosomal protein S23 (RPS23), mannose-6-phosphate receptor (M6PR), WD repeat domain 12 (WDR12), synaptosome associated protein 23 (SNAP23), actin related protein 2 (ACTR2), siah E3 ubiquitin protein ligase 1 (SIAH1), and glomulin (GLMN)] and 2 hub genes in the purple module [proteasome 20S subunit alpha 3 (PSMA3) and ribosomal protein S27 like (RPS27L)] were identified. Hub genes were validated through quantitative real-time polymerase chain reaction. In summary, 12 hub genes were identified in two modules that were associated with HO. These hub genes could provide new biomarkers, therapeutic ideas, and targets in HO. Frontiers Media S.A. 2020-12-17 /pmc/articles/PMC7774600/ /pubmed/33391181 http://dx.doi.org/10.3389/fendo.2020.581768 Text en Copyright © 2020 Wang, Tian, Wang, Liu, Ke, Shang, Yang and Wang http://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 Endocrinology
Wang, Shuang
Tian, Jun
Wang, Jianzhong
Liu, Sizhu
Ke, Lianwei
Shang, Chaojiang
Yang, Jichun
Wang, Lin
Identification of the Biomarkers and Pathological Process of Heterotopic Ossification: Weighted Gene Co-Expression Network Analysis
title Identification of the Biomarkers and Pathological Process of Heterotopic Ossification: Weighted Gene Co-Expression Network Analysis
title_full Identification of the Biomarkers and Pathological Process of Heterotopic Ossification: Weighted Gene Co-Expression Network Analysis
title_fullStr Identification of the Biomarkers and Pathological Process of Heterotopic Ossification: Weighted Gene Co-Expression Network Analysis
title_full_unstemmed Identification of the Biomarkers and Pathological Process of Heterotopic Ossification: Weighted Gene Co-Expression Network Analysis
title_short Identification of the Biomarkers and Pathological Process of Heterotopic Ossification: Weighted Gene Co-Expression Network Analysis
title_sort identification of the biomarkers and pathological process of heterotopic ossification: weighted gene co-expression network analysis
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774600/
https://www.ncbi.nlm.nih.gov/pubmed/33391181
http://dx.doi.org/10.3389/fendo.2020.581768
work_keys_str_mv AT wangshuang identificationofthebiomarkersandpathologicalprocessofheterotopicossificationweightedgenecoexpressionnetworkanalysis
AT tianjun identificationofthebiomarkersandpathologicalprocessofheterotopicossificationweightedgenecoexpressionnetworkanalysis
AT wangjianzhong identificationofthebiomarkersandpathologicalprocessofheterotopicossificationweightedgenecoexpressionnetworkanalysis
AT liusizhu identificationofthebiomarkersandpathologicalprocessofheterotopicossificationweightedgenecoexpressionnetworkanalysis
AT kelianwei identificationofthebiomarkersandpathologicalprocessofheterotopicossificationweightedgenecoexpressionnetworkanalysis
AT shangchaojiang identificationofthebiomarkersandpathologicalprocessofheterotopicossificationweightedgenecoexpressionnetworkanalysis
AT yangjichun identificationofthebiomarkersandpathologicalprocessofheterotopicossificationweightedgenecoexpressionnetworkanalysis
AT wanglin identificationofthebiomarkersandpathologicalprocessofheterotopicossificationweightedgenecoexpressionnetworkanalysis