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整合分析 miRNA、lncRNA 和 mRNA 在骨关节炎中的表达及构建竞争内源性网络。

Integrative Analysis of the Expression of microRNA, Long Noncoding RNA, and mRNA in Osteoarthritis and Construction of a Competing Endogenous Network.

机构信息

Department of Orthopedics, The First Hospital of China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, People's Republic of China.

Department of Orthopedics, The Forth Hospital of China Medical University, 4 Chongshan East Road, Shenyang, 110000, China.

出版信息

Biochem Genet. 2022 Aug;60(4):1141-1158. doi: 10.1007/s10528-021-10159-3. Epub 2021 Nov 18.

DOI:10.1007/s10528-021-10159-3
PMID:34796409
Abstract

This study aimed to identify potential core microRNAs (miRNAs), long noncoding RNAs (lncRNAs), and mRNAs in osteoarthritis (OA) to construct a competing endogenous RNA (ceRNA) and co-expression network. Differentially expressed miRNAs (DEMis) in the dataset GSE143514 comprising five OA and three normal tissues were identified using the DEseq package. Core miRNAs were identified as DEMis overlapping with those reported by the human microRNA disease database. LncRNAs were predicted by the miRNA-lncRNA interactions network from the encyclopedia of RNA interactomes (ENCORI). MiRNet and ENCORI were employed to predict the mRNAs which overlapped with the differentially expressed mRNAs from the dataset GSE114007 to obtain overlapping mRNAs. MiRNA-lncRNA and miRNA-mRNA interactions were integrated to construct the ceRNA network. A total of 143 DEMis were identified in OA and normal tissues, from which hsa-miR-451a, hsa-miR-370-5p, hsa-miR-34a-5p, hsa-miR-210-3p, and hsa-miR-101-3p were assessed as core miRNAs using overlapping analyses. These RNAs may represent potential therapeutic targets for the treatment of OA.

摘要

本研究旨在鉴定骨关节炎(OA)中的潜在核心 microRNAs(miRNAs)、长链非编码 RNA(lncRNAs)和 mRNAs,构建竞争性内源 RNA(ceRNA)和共表达网络。使用 DEseq 软件包从包含五个 OA 和三个正常组织的数据集 GSE143514 中鉴定差异表达的 miRNAs(DEMis)。核心 miRNAs 被鉴定为与人类 microRNA 疾病数据库报告的 DEMis 重叠的 miRNAs。lncRNAs 通过 miRNA-lncRNA 相互作用网络从 RNA 相互作用百科全书(ENCORI)中预测。使用 MiRNet 和 ENCORI 来预测与数据集 GSE114007 中差异表达的 mRNAs 重叠的 mRNAs,以获得重叠的 mRNAs。将 miRNA-lncRNA 和 miRNA-mRNA 相互作用整合到 ceRNA 网络中。在 OA 和正常组织中鉴定出 143 个 DEMis,其中 hsa-miR-451a、hsa-miR-370-5p、hsa-miR-34a-5p、hsa-miR-210-3p 和 hsa-miR-101-3p 通过重叠分析被评估为核心 miRNAs。这些 RNA 可能代表治疗 OA 的潜在治疗靶点。

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