PDF(Pubmed)
Abstract：
UNASSIGNED: The intimate connection between long noncoding RNA (lncRNA) and autophagy has been established in cartilage degeneration. However, their roles in meniscal degeneration remain ambiguous. This study aimed to identify the key autophagy-related lncRNA and its associated regulatory network in meniscal degeneration in the context of osteoarthritis (OA).
UNASSIGNED: RNA sequencing was performed to identify differentially expressed lncRNAs (DELs) and mRNAs (DEMs), which were then conducted to enrichment analyses using the DAVID database and Metascape. Autophagy-related DEMs were identified by combining DEMs with data from the Human Autophagy Database. Three databases were used to predict miRNA, and the DIANA LncBase Predicted database was utilized to predict miRNA-lncRNA interactions. Based on these predictions, comprehensive competitive endogenous RNA (ceRNA) network were constructed. The expression levels of the classical autophagy markers and autophagy-related ceRNA network were validated. Additionally, Gene Set Enrichment Analysis (GSEA) was performed using autophagy-related DEMs.
UNASSIGNED: 310 DELs and 320 DEMs were identified, with five upregulated and one downregulated autophagy-related DEMs. Through reverse prediction of miRNA, paired miRNA-lncRNA interactions, and verification using RT-qPCR, two lncRNAs (PCAT19, CLIP1-AS1), two miRNA (has-miR-3680-3p and has-miR-4795-3p) and two mRNAs (BAG3 and HSP90AB1) were included in the constructed ceRNA regulatory networks. GSEA indicated that the increased expression of autophagy-related mRNAs inhibited glycosaminoglycan biosynthesis in the degenerative meniscus.
UNASSIGNED: This study presented the first construction of regulatory ceRNA network involving autophagy-related lncRNA-miRNA-mRNA interactions in OA meniscus. These findings offered valuable insights into the mechanisms underlying meniscal degeneration and provided potential targets for therapeutic intervention.
UNASSIGNED: RNA sequencing was performed to identify differentially expressed lncRNAs (DELs) and mRNAs (DEMs), which were then conducted to enrichment analyses using the DAVID database and Metascape. Autophagy-related DEMs were identified by combining DEMs with data from the Human Autophagy Database. Three databases were used to predict miRNA, and the DIANA LncBase Predicted database was utilized to predict miRNA-lncRNA interactions. Based on these predictions, comprehensive competitive endogenous RNA (ceRNA) network were constructed. The expression levels of the classical autophagy markers and autophagy-related ceRNA network were validated. Additionally, Gene Set Enrichment Analysis (GSEA) was performed using autophagy-related DEMs.
UNASSIGNED: 310 DELs and 320 DEMs were identified, with five upregulated and one downregulated autophagy-related DEMs. Through reverse prediction of miRNA, paired miRNA-lncRNA interactions, and verification using RT-qPCR, two lncRNAs (PCAT19, CLIP1-AS1), two miRNA (has-miR-3680-3p and has-miR-4795-3p) and two mRNAs (BAG3 and HSP90AB1) were included in the constructed ceRNA regulatory networks. GSEA indicated that the increased expression of autophagy-related mRNAs inhibited glycosaminoglycan biosynthesis in the degenerative meniscus.
UNASSIGNED: This study presented the first construction of regulatory ceRNA network involving autophagy-related lncRNA-miRNA-mRNA interactions in OA meniscus. These findings offered valuable insights into the mechanisms underlying meniscal degeneration and provided potential targets for therapeutic intervention.
摘要：
■长非编码RNA（lncRNA）与自噬之间的紧密联系已在软骨退化中建立。然而,它们在半月板变性中的作用仍然模棱两可。本研究旨在确定骨关节炎（OA）背景下半月板变性中关键的自噬相关lncRNA及其相关调控网络。
■进行RNA测序以鉴定差异表达的lncRNAs（DELs）和mRNAs（DEMs），然后使用DAVID数据库和Metascape进行富集分析。通过将DEM与来自人类自噬数据库的数据组合来鉴定自噬相关的DEM。三个数据库用于预测miRNA，和DIANALncBase预测数据库用于预测miRNA-lncRNA相互作用。基于这些预测,构建了全面竞争内源RNA(ceRNA)网络。验证经典自噬标志物和自噬相关ceRNA网络的表达水平。此外,使用自噬相关的DEM进行基因集富集分析（GSEA）。
■310DEL和320DEM被鉴定，五个上调和一个下调自噬相关的DEM。通过对miRNA的反向预测，配对miRNA-lncRNA相互作用，并使用RT-qPCR进行验证，两个lncRNAs(PCAT19，CLIP1-AS1)，两个miRNA(has-miR-3680-3p和has-miR-4795-3p)和两个mRNA(BAG3和HSP90AB1)被纳入构建的ceRNA调控网络中。GSEA表明，自噬相关mRNA的表达增加抑制了变性半月板中糖胺聚糖的生物合成。
■这项研究首次构建了涉及OA半月板中自噬相关的lncRNA-miRNA-mRNA相互作用的调节性ceRNA网络。这些发现为半月板变性的潜在机制提供了有价值的见解，并为治疗干预提供了潜在的靶标。
■进行RNA测序以鉴定差异表达的lncRNAs（DELs）和mRNAs（DEMs），然后使用DAVID数据库和Metascape进行富集分析。通过将DEM与来自人类自噬数据库的数据组合来鉴定自噬相关的DEM。三个数据库用于预测miRNA，和DIANALncBase预测数据库用于预测miRNA-lncRNA相互作用。基于这些预测,构建了全面竞争内源RNA(ceRNA)网络。验证经典自噬标志物和自噬相关ceRNA网络的表达水平。此外,使用自噬相关的DEM进行基因集富集分析（GSEA）。
■310DEL和320DEM被鉴定，五个上调和一个下调自噬相关的DEM。通过对miRNA的反向预测，配对miRNA-lncRNA相互作用，并使用RT-qPCR进行验证，两个lncRNAs(PCAT19，CLIP1-AS1)，两个miRNA(has-miR-3680-3p和has-miR-4795-3p)和两个mRNA(BAG3和HSP90AB1)被纳入构建的ceRNA调控网络中。GSEA表明，自噬相关mRNA的表达增加抑制了变性半月板中糖胺聚糖的生物合成。
■这项研究首次构建了涉及OA半月板中自噬相关的lncRNA-miRNA-mRNA相互作用的调节性ceRNA网络。这些发现为半月板变性的潜在机制提供了有价值的见解，并为治疗干预提供了潜在的靶标。
