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Identification and analysis of RNA-5-methylcytosine-related key genes in osteoarthritis

BACKGROUND: 5-methylcytosine (m5C) modification is widely associated with many biological and pathological processes. However, knowledge of m5C modification in osteoarthritis (OA) remains lacking. Thus, our study aimed to identify common m5C features in OA. RESULTS: In the present study, we identifi...

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Autores principales: Yu, Yang, Lu, Shitao, Liu, Xiaoming, Li, Yu, Xu, Jianzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496305/
https://www.ncbi.nlm.nih.gov/pubmed/37700248
http://dx.doi.org/10.1186/s12864-023-09651-4
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author Yu, Yang
Lu, Shitao
Liu, Xiaoming
Li, Yu
Xu, Jianzhong
author_facet Yu, Yang
Lu, Shitao
Liu, Xiaoming
Li, Yu
Xu, Jianzhong
author_sort Yu, Yang
collection PubMed
description BACKGROUND: 5-methylcytosine (m5C) modification is widely associated with many biological and pathological processes. However, knowledge of m5C modification in osteoarthritis (OA) remains lacking. Thus, our study aimed to identify common m5C features in OA. RESULTS: In the present study, we identified 1395 differentially methylated genes (DMGs) and 1673 differentially expressed genes (DEGs) using methylated RNA immunoprecipitation next-generation sequencing (MeRIP-seq) and RNA-sequencing. A co-expression analysis of DMGs and DEGs showed that the expression of 133 genes was significantly affected by m5C methylation. A protein–protein interaction network of the 133 genes was constructed using the STRING database, and the cytoHubba plug-in of Cytoscape was used to hub genes were screen out 11 hub genes, including MMP14, VTN, COL15A1, COL6A2, SPARC, COL5A1, COL6A3, COL6A1, COL8A2, ADAMTS2 and COL7A1. The Pathway enrichment analysis by the ClueGO and CluePedia plugins in Cytoscape showed that the hub genes were significantly enriched in collagen degradation and extracellular matrix degradation. CONCLUSIONS: Our study indicated that m5C modification might play an important role in OA pathogenesis, and the present study provides worthwhile insight into identifying m5C-related therapeutic targets in OA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09651-4.
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spelling pubmed-104963052023-09-13 Identification and analysis of RNA-5-methylcytosine-related key genes in osteoarthritis Yu, Yang Lu, Shitao Liu, Xiaoming Li, Yu Xu, Jianzhong BMC Genomics Research BACKGROUND: 5-methylcytosine (m5C) modification is widely associated with many biological and pathological processes. However, knowledge of m5C modification in osteoarthritis (OA) remains lacking. Thus, our study aimed to identify common m5C features in OA. RESULTS: In the present study, we identified 1395 differentially methylated genes (DMGs) and 1673 differentially expressed genes (DEGs) using methylated RNA immunoprecipitation next-generation sequencing (MeRIP-seq) and RNA-sequencing. A co-expression analysis of DMGs and DEGs showed that the expression of 133 genes was significantly affected by m5C methylation. A protein–protein interaction network of the 133 genes was constructed using the STRING database, and the cytoHubba plug-in of Cytoscape was used to hub genes were screen out 11 hub genes, including MMP14, VTN, COL15A1, COL6A2, SPARC, COL5A1, COL6A3, COL6A1, COL8A2, ADAMTS2 and COL7A1. The Pathway enrichment analysis by the ClueGO and CluePedia plugins in Cytoscape showed that the hub genes were significantly enriched in collagen degradation and extracellular matrix degradation. CONCLUSIONS: Our study indicated that m5C modification might play an important role in OA pathogenesis, and the present study provides worthwhile insight into identifying m5C-related therapeutic targets in OA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09651-4. BioMed Central 2023-09-12 /pmc/articles/PMC10496305/ /pubmed/37700248 http://dx.doi.org/10.1186/s12864-023-09651-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yu, Yang
Lu, Shitao
Liu, Xiaoming
Li, Yu
Xu, Jianzhong
Identification and analysis of RNA-5-methylcytosine-related key genes in osteoarthritis
title Identification and analysis of RNA-5-methylcytosine-related key genes in osteoarthritis
title_full Identification and analysis of RNA-5-methylcytosine-related key genes in osteoarthritis
title_fullStr Identification and analysis of RNA-5-methylcytosine-related key genes in osteoarthritis
title_full_unstemmed Identification and analysis of RNA-5-methylcytosine-related key genes in osteoarthritis
title_short Identification and analysis of RNA-5-methylcytosine-related key genes in osteoarthritis
title_sort identification and analysis of rna-5-methylcytosine-related key genes in osteoarthritis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496305/
https://www.ncbi.nlm.nih.gov/pubmed/37700248
http://dx.doi.org/10.1186/s12864-023-09651-4
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