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Wenjing Zhang¹, Chun Wei¹, Ling Wang²

¹Department of Rheumatic Immunity, Changzhi People's Hospital, No. 502, Changxing Middle Road, Luzhou District, Changzhi, 046099, Shanxi, China.

Molecular biotechnology

|June 29, 2023

概括

这项研究确定了关键基因和涉及骨关节炎 (OA) 的分子网络. 这些发现为早期诊断和治疗这种常见关节疾病的潜在治疗提供了新的目标.

科学领域:

生物分子研究的研究.
基因组学就是基因组学.
分子生物学分子生物学

背景情况:

骨关节炎 (OA) 是一种普遍存在的退行性关节疾病,影响患者的生活质量.
早期发现和预防OA至关重要,需要新的诊断生物标志物.

研究的目的:

在OA中识别差异表达的长非编码RNAs (DE-lncRNAs),信使RNAs (DE-mRNAs) 和圆形RNAs (DE-circRNAs).
构建竞争的内源RNA (ceRNA) 网络,并识别与OA相关的枢纽基因.

主要方法:

对DE-lncRNAs,DE-mRNAs和DE-circRNAs的基因表达综合数据集GSE185059的分析.
基因本体学 (GO) 和基因和基因组的京都百科全书 (KEGG) 路径分析.
蛋白与蛋白相互作用 (PPI) 网络的构建,枢纽基因的识别和通过RT-qPCR进行验证.
使用starBase数据库进行miRNA结合预测和ceRNA网络构建.

主要成果:

确定了818个DE-mRNA,191个DE-lncRNA和2053个DE-circRNA.
在与炎症相关的途径 (例如,TNF-alpha,NF-kappa B信号传递) 中,DE-mRNAs得到了丰富.
确定了13个枢纽基因 (CFTR,GART,SMAD2,NCK1,TJP1,UBE2D1,EFTUD2,PRKACB,IL10,SNRPG,CHD4,RPS24,SRSF6) 并构建了与OA相关的ceRNA网络.

结论:

鉴定到的枢纽基因和构建的ceRNA网络为了解OA病变产生提供了理论基础.
这些发现可能有助于开发新的诊断生物标志物和骨关节炎的治疗策略.

关键词:

生物信息学分析竞争的内源性RNA具有竞争性.枢纽基因枢纽基因枢纽基因没有编码的RNAs.骨关节炎是一种骨关节炎.

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