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通过 mRNA 和 miRNA 芯片的综合分析探索骨肉瘤的分子机制。

Exploring the molecular mechanisms of osteosarcoma by the integrated analysis of mRNAs and miRNA microarrays.

机构信息

Department of Orthopaedics, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, P.R. China.

Department of Orthopaedics, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, P.R. China.

出版信息

Int J Mol Med. 2018 Jul;42(1):21-30. doi: 10.3892/ijmm.2018.3594. Epub 2018 Mar 27.

Abstract

Osteosarcoma (OS) is the most frequently occurring primary bone malignancy with a rapid progression and poor survival. In the present study, in order to examine the molecular mechanisms of OS, we analyzed the microarray of GSE28425. GSE28425 was downloaded from Gene Expression Omnibus, which also included the miRNA expression profile, GSE28423, and the mRNA expression profile, GSE28424. Each of the expression profiles included 19 OS cell lines and 4 normal bones. The differentially expressed genes (DEGs) and differentially expressed miRNAs (DE-miRNAs) were screened using the limma package in Bioconductor. The DEGs associated with tumors were screened and annotated. Subsequently, the potential functions of the DEGs were analyzed by Gene Ontology (GO) and pathway enrichment analyses. Furthermore, the protein-protein interaction (PPI) network was constructed using the STRING database and Cytoscape software. Furthermore, modules of the PPI network were screened using the ClusterOne plugin in Cytoscape. Additionally, the transcription factor (TF)-DEG regulatory network, DE-miRNA-DEG regulatory network and miRNA-function collaborative network were separately constructed to obtain key DEGs and DE-miRNAs. In total, 1,609 DEGs and 149 DE-miRNAs were screened. Upregulated FOS-like antigen 1 (FOSL1) also had the function of an oncogene. MAD2 mitotic arrest deficient-like 1 (MAD2L1; degree, 65) and aurora kinase A (AURKA; degree, 64) had higher degrees in the PPI network of the DEGs. In the TF-DEG regulatory network, the TF, signal transducer and activator of transcription 3 (STAT3) targeted the most DEGs. Moreover, in the DE-miRNA-DEG regulatory network, downregulated miR‑1 targeted many DEGs and estrogen receptor 1 (ESR1) was targeted by several highly expressed miRNAs. Moreover, in the miRNA-function collaborative networks of upregulated miRNAs, miR‑128 targeted myeloid dendritic associated functions. On the whole, our data indicate that MAD2L1, AURKA, STAT3, ESR1, FOSL1, miR‑1 and miR‑128 may play a role in the development and/or progressio of OS.

摘要

骨肉瘤(OS)是最常见的原发性骨恶性肿瘤,具有快速进展和较差的生存率。在本研究中,为了研究 OS 的分子机制,我们分析了 GSE28425 的微阵列。GSE28425 从基因表达综合数据库中下载,其中还包括 miRNA 表达谱 GSE28423 和 mRNA 表达谱 GSE28424。每个表达谱都包含 19 个骨肉瘤细胞系和 4 个正常骨组织。使用 Bioconductor 中的 limma 软件包筛选差异表达基因(DEGs)和差异表达 miRNA(DE-miRNAs)。筛选与肿瘤相关的 DEGs 并进行注释。随后,通过基因本体论(GO)和通路富集分析分析 DEGs 的潜在功能。此外,使用 STRING 数据库和 Cytoscape 软件构建蛋白质-蛋白质相互作用(PPI)网络。此外,使用 Cytoscape 中的 ClusterOne 插件筛选 PPI 网络模块。此外,分别构建转录因子(TF)-DEG 调控网络、DE-miRNA-DEG 调控网络和 miRNA 功能协同网络,以获得关键的 DEGs 和 DE-miRNAs。总共筛选出 1609 个 DEGs 和 149 个 DE-miRNAs。上调的 FOS 样抗原 1(FOSL1)也具有癌基因的功能。在 DEGs 的 PPI 网络中,有丝分裂纺锤体检查点蛋白 MAD2 样蛋白 1(MAD2L1;度,65)和 Aurora 激酶 A(AURKA;度,64)的度较高。在 TF-DEG 调控网络中,转录因子信号转导和转录激活因子 3(STAT3)靶向最多的 DEGs。此外,在 DE-miRNA-DEG 调控网络中,下调的 miR-1 靶向许多 DEGs,而雌激素受体 1(ESR1)则被几个高表达的 miRNA 靶向。此外,在上调 miRNA 的 miRNA 功能协同网络中,miR-128 靶向髓样树突状细胞相关功能。总的来说,我们的数据表明 MAD2L1、AURKA、STAT3、ESR1、FOSL1、miR-1 和 miR-128 可能在 OS 的发展和/或进展中发挥作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/495c/5979835/214b0068fd3a/IJMM-42-01-0021-g00.jpg

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