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系统性红斑狼疮中长链非编码 RNA 表达谱差异的全高通量测序分析及其作用机制。

Full high-throughput sequencing analysis of differences in expression profiles of long noncoding RNAs and their mechanisms of action in systemic lupus erythematosus.

机构信息

Department of Biochemistry, School of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.

School of the Second Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China.

出版信息

Arthritis Res Ther. 2019 Mar 5;21(1):70. doi: 10.1186/s13075-019-1853-7.

Abstract

BACKGROUND

The specific function of long noncoding RNAs (lncRNAs) in systemic lupus erythematosus (SLE) and the mechanism of their involvement in related pathological changes remain to be elucidated, so, in this study, we analyzed the differences in the expression profiles of lncRNAs and their mechanisms of action in SLE using full high-throughput sequencing, bioinformatics, etc. methods.

METHODS

We used high-throughput sequencing to detect differences in the expression profiles of lncRNAs, miRNAs, and mRNAs in PBMCs from patients with SLE at the genome-wide level. Next, we predicted target genes of 30 lincRNAs (long intergenic noncoding RNAs) by constructing a coexpression network of differential lincRNAs and mRNAs and identified the role of lincRNAs. Then, we analyzed the coexpression network of 23 optimized lincRNAs and their corresponding 353 miRNAs, evaluated the cis- and trans-effects of these lincRNAs, and performed GO and KEGG analyses of target genes. We also selected 8 lincRNAs and 2 newly discovered lncRNAs for q-PCR validation and lncRNA-miRNA-mRNA analysis. Finally, we also analyzed respectively the relation between lncRNAs and gender bias in SLE patients using RT-qPCR, the relation between Systemic Lupus Erythematosus Disease Activity Index score and the "IFN signature" using ELISA, and the relation between the differential expression of lncRNAs and a change in the number of a cell type of PBMCs in SLE patients using RT-qPCR.

RESULTS

The profiles of 1087 lncRNAs, 102 miRNAs, and 4101 mRNAs in PBMCs significantly differed between patients with SLE and healthy controls. The coexpression network analysis showed that the network contained 23 lincRNAs and 353 mRNAs. The evaluation of the cis- and trans-effects showed that the 23 lincRNAs acted on 704 target genes. GO and KEGG analyses of the target genes predicted the biological functions of the 23 lincRNAs. q-PCR validation showed 7 lincRNAs and 2 novel lncRNAs were identical to the sequencing results. The ceRNA network contained 7 validated lincRNAs, 15 miRNAs, and 155 mRNAs. In addition, the differential expression of lncRNAs may be gender dependent in SLE patients, SLE patients also exhibit a robust "IFN signature," and PBMCs exhibiting differential expression of lncRNAs may be due to a change in the number of a cell type.

CONCLUSION

This work determined specific lncRNAs that play important biological functions in the pathogenesis of lupus and provided a new direction for diagnosis and treatment of disease.

摘要

背景

长链非编码 RNA(lncRNA)在系统性红斑狼疮(SLE)中的具体功能及其参与相关病理变化的机制仍有待阐明,因此,本研究采用全高通量测序、生物信息学等方法分析了 lncRNA 的表达谱差异及其在 SLE 中的作用机制。

方法

我们使用高通量测序在全基因组水平上检测了 SLE 患者 PBMC 中 lncRNA、miRNA 和 mRNA 的表达谱差异。接下来,我们通过构建差异 lincRNA 和 mRNA 的共表达网络来预测 30 个 lincRNA(长基因间非编码 RNA)的靶基因,并确定 lincRNA 的作用。然后,我们分析了 23 个优化的 lincRNA 及其相应的 353 个 miRNA 的共表达网络,评估了这些 lincRNA 的顺式和反式效应,并对靶基因进行了 GO 和 KEGG 分析。我们还选择了 8 个 lincRNA 和 2 个新发现的 lincRNA 进行 qPCR 验证和 lncRNA-miRNA-mRNA 分析。最后,我们还分别使用 RT-qPCR 分析了 lncRNA 与 SLE 患者性别偏倚的关系、ELISA 分析了 SLE 患者系统性红斑狼疮疾病活动指数评分与“IFN 特征”的关系、以及 RT-qPCR 分析了 lncRNA 的差异表达与 SLE 患者 PBMC 中一种细胞类型数量变化的关系。

结果

SLE 患者和健康对照组 PBMC 中的 1087 个 lncRNA、102 个 miRNA 和 4101 个 mRNA 的表达谱存在显著差异。共表达网络分析显示,该网络包含 23 个 lincRNA 和 353 个 mRNA。顺式和反式效应的评估表明,这 23 个 lincRNA 作用于 704 个靶基因。靶基因的 GO 和 KEGG 分析预测了 23 个 lincRNA 的生物学功能。qPCR 验证显示 7 个 lincRNA 和 2 个新的 lincRNA 与测序结果一致。ceRNA 网络包含 7 个验证的 lincRNA、15 个 miRNA 和 155 个 mRNA。此外,lncRNA 的差异表达可能在 SLE 患者中存在性别依赖性,SLE 患者也表现出强烈的“IFN 特征”,并且 PBMC 中 lncRNA 的差异表达可能是由于细胞类型数量的变化。

结论

本研究确定了在狼疮发病机制中发挥重要生物学功能的特定 lncRNA,为疾病的诊断和治疗提供了新的方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/783f/6402184/d6249a76b2be/13075_2019_1853_Fig1_HTML.jpg

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