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Non‐coding RNA Identification in Osteonecrosis of the Femoral Head Using Competitive Endogenous RNA Network Analysis

OBJECTIVE: To investigate the regulatory network of long non‐coding RNA (lncRNA) as competing endogenous RNAs (ceRNAs) in osteonecrosis of the femoral head (ONFH). METHODS: The gene expression profile GSE74089 of ONFH and microRNA (miRNA) expression profile of GSE89587 were obtained from the Gene Ex...

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Autores principales: Han, Ning, Li, Zengchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8126913/
https://www.ncbi.nlm.nih.gov/pubmed/33749138
http://dx.doi.org/10.1111/os.12834
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author Han, Ning
Li, Zengchun
author_facet Han, Ning
Li, Zengchun
author_sort Han, Ning
collection PubMed
description OBJECTIVE: To investigate the regulatory network of long non‐coding RNA (lncRNA) as competing endogenous RNAs (ceRNAs) in osteonecrosis of the femoral head (ONFH). METHODS: The gene expression profile GSE74089 of ONFH and microRNA (miRNA) expression profile of GSE89587 were obtained from the Gene Expression Omnibus (GEO) database. The GSE74089 contained four ONFH samples and four controls. The GSE89587 included 10 ONFH samples and 10 control samples. The differentially expressed lncRNAs (DE‐lncRNAs) and DE‐mRNAs between ONFH group and control group were identified from GSE74089 using the limma package based on criteria of adjusted P value <0.05 and |log fold change (FC)| ≥2. The DEmiRNAs between ONFH group and control group were screened from GSE89587 on the basis of adjusted P value <0.05. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway for DE‐mRNAs were analyzed using DAVID 6.7 and GSEA 3.0, respectively. Coexpressed lncRNA‐mRNA pairs were identified by corr.test method in R based on the criteria of adjusted P value <0.01 and |r| ≥ 0.9. A ceRNA network was constructed and visualized using cytoscape 3.7.0 by integrating the DE‐lncRNA, DE‐miRNA, and DEmRNA data. The key mRNAs and lncRNAs in the ceRNA network were further validated in an independent dataset of GSE123568. RESULTS: Based on our analysis, a total of 28 DE‐lncRNAs, 1403 DE‐mRNAs, and 134 DE‐miRNAs were identified, respectively. The DE‐mRNAs were significantly enriched in the function of “skeletal system development,” “collagen fibril organization,” “blood vessel development,” and “regulation of nervous system development.” Besides, 72 KEGG pathways, including eight active pathways and 64 suppressed pathways were identified, including which immune pathway was the most significantly activated one and which ribosome‐related function was the most suppressed. A co‐expression network including 161 DE‐mRNAs and 16 DE‐lncRNAs was built. Highly connected nodes were identified among lncRNAs such as H19, C20orf203, LINC00355, SFTA3, CRNDE, CASC2, LINC00494, C9orf163, C10orf91, and LINC00301. The ceRNA network indicated that lncRNA H19 functioned as a ceRNA of hsa‐miR‐519b‐3p and hsa‐miR‐296‐5p in ANKH and ECHDC1 regulation; lncRNA C9orf163 functioned as a ceRNA of hsa‐miR‐424‐5p in CCNT1 regulation. The expression trends of ANKH, CCNT1, and C9orf163 were successfully validated in independent dataset of GSE123568. CONCLUSION: The ceRNAs of lncRNA H19‐ hsa‐miR‐519b‐3p/hsa‐miR‐296‐5p‐ANKH and lncRNA c9orf163‐ hsa‐miR‐424‐5p‐CCNT1 might play important roles in ONFH development. Our research provided an understanding of the important role of lncRNA–related ceRNAs in ONFH.
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spelling pubmed-81269132021-05-21 Non‐coding RNA Identification in Osteonecrosis of the Femoral Head Using Competitive Endogenous RNA Network Analysis Han, Ning Li, Zengchun Orthop Surg Scientific Articles OBJECTIVE: To investigate the regulatory network of long non‐coding RNA (lncRNA) as competing endogenous RNAs (ceRNAs) in osteonecrosis of the femoral head (ONFH). METHODS: The gene expression profile GSE74089 of ONFH and microRNA (miRNA) expression profile of GSE89587 were obtained from the Gene Expression Omnibus (GEO) database. The GSE74089 contained four ONFH samples and four controls. The GSE89587 included 10 ONFH samples and 10 control samples. The differentially expressed lncRNAs (DE‐lncRNAs) and DE‐mRNAs between ONFH group and control group were identified from GSE74089 using the limma package based on criteria of adjusted P value <0.05 and |log fold change (FC)| ≥2. The DEmiRNAs between ONFH group and control group were screened from GSE89587 on the basis of adjusted P value <0.05. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway for DE‐mRNAs were analyzed using DAVID 6.7 and GSEA 3.0, respectively. Coexpressed lncRNA‐mRNA pairs were identified by corr.test method in R based on the criteria of adjusted P value <0.01 and |r| ≥ 0.9. A ceRNA network was constructed and visualized using cytoscape 3.7.0 by integrating the DE‐lncRNA, DE‐miRNA, and DEmRNA data. The key mRNAs and lncRNAs in the ceRNA network were further validated in an independent dataset of GSE123568. RESULTS: Based on our analysis, a total of 28 DE‐lncRNAs, 1403 DE‐mRNAs, and 134 DE‐miRNAs were identified, respectively. The DE‐mRNAs were significantly enriched in the function of “skeletal system development,” “collagen fibril organization,” “blood vessel development,” and “regulation of nervous system development.” Besides, 72 KEGG pathways, including eight active pathways and 64 suppressed pathways were identified, including which immune pathway was the most significantly activated one and which ribosome‐related function was the most suppressed. A co‐expression network including 161 DE‐mRNAs and 16 DE‐lncRNAs was built. Highly connected nodes were identified among lncRNAs such as H19, C20orf203, LINC00355, SFTA3, CRNDE, CASC2, LINC00494, C9orf163, C10orf91, and LINC00301. The ceRNA network indicated that lncRNA H19 functioned as a ceRNA of hsa‐miR‐519b‐3p and hsa‐miR‐296‐5p in ANKH and ECHDC1 regulation; lncRNA C9orf163 functioned as a ceRNA of hsa‐miR‐424‐5p in CCNT1 regulation. The expression trends of ANKH, CCNT1, and C9orf163 were successfully validated in independent dataset of GSE123568. CONCLUSION: The ceRNAs of lncRNA H19‐ hsa‐miR‐519b‐3p/hsa‐miR‐296‐5p‐ANKH and lncRNA c9orf163‐ hsa‐miR‐424‐5p‐CCNT1 might play important roles in ONFH development. Our research provided an understanding of the important role of lncRNA–related ceRNAs in ONFH. John Wiley & Sons Australia, Ltd 2021-03-21 /pmc/articles/PMC8126913/ /pubmed/33749138 http://dx.doi.org/10.1111/os.12834 Text en © 2021 The Authors. Orthopaedic Surgery published by Chinese Orthopaedic Association and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Scientific Articles
Han, Ning
Li, Zengchun
Non‐coding RNA Identification in Osteonecrosis of the Femoral Head Using Competitive Endogenous RNA Network Analysis
title Non‐coding RNA Identification in Osteonecrosis of the Femoral Head Using Competitive Endogenous RNA Network Analysis
title_full Non‐coding RNA Identification in Osteonecrosis of the Femoral Head Using Competitive Endogenous RNA Network Analysis
title_fullStr Non‐coding RNA Identification in Osteonecrosis of the Femoral Head Using Competitive Endogenous RNA Network Analysis
title_full_unstemmed Non‐coding RNA Identification in Osteonecrosis of the Femoral Head Using Competitive Endogenous RNA Network Analysis
title_short Non‐coding RNA Identification in Osteonecrosis of the Femoral Head Using Competitive Endogenous RNA Network Analysis
title_sort non‐coding rna identification in osteonecrosis of the femoral head using competitive endogenous rna network analysis
topic Scientific Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8126913/
https://www.ncbi.nlm.nih.gov/pubmed/33749138
http://dx.doi.org/10.1111/os.12834
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