4.7 Article

Integrated analysis of competing endogenous RNA networks in peripheral blood mononuclear cells of systemic lupus erythematosus

期刊

JOURNAL OF TRANSLATIONAL MEDICINE
卷 19, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12967-021-03033-8

关键词

ceRNAs; Integrative analysis; SLE; RNA sequencing

资金

  1. National Natural Science Foundation for Young Scientists of China [No32000641]
  2. Key Research and Development Program of Guangdong Province [2019B020229001]
  3. Science and Technology Plan of Shenzhen [JCYJ20200109144218597, JCYJ20190807145815129]
  4. Sanming Project of Medicine in Shenzhen [SYJY201704, SYJY201705]
  5. Shenzhen Key Medical Discipline Construction Fund [SZXK011]

向作者/读者索取更多资源

Differential expression profiles of various ceRNAs related to SLE were identified, leading to the construction of ceRNA signalling networks. Key hub genes involved in ceRNA signalling pathways such as the IL-17 signalling pathway and type I interferon signalling pathway were discovered.
Background Systemic lupus erythematosus (SLE) is an autoimmune disease with a complicated pathogenesis, and its aetiology has not been clearly unveiled. The lack of effective diagnosis and treatment methods makes it necessary to explore the molecular mechanism of SLE. We aimed to identify some critical signalling pathways and key competing endogenous RNAs (ceRNAs) underlying the molecular mechanism of SLE and to map out the systematic signalling networks by integrating the data on different kinds of RNAs. Methods Peripheral blood mononuclear cells (PBMCs) were collected from both SLE patients and healthy subjects, RNA was extracted from the PBMCs, and RNA libraries including ribosomal RNA-depleted strand-specific libraries and small RNA libraries were built for deep RNA sequencing (RNA-seq). RNA-seq yielded differential expression profiles of lncRNAs/circRNAs/miRNAs/mRNAs related to SLE. The DAVID database (v. 6.8) was employed for Gene Ontology (GO) and KEGG pathway analysis. ceRNA networks (circRNA/lncRNA-miRNA-mRNA) were constructed and visualized using Cytoscape software (v. 3.5.0). The TargetScan and miRanda databases were used to predict target relationships in ceRNA networks. qRT-PCR was used to verify our data. Results Differential expression of ceRNAs related to SLE was detected in SLE patients' PBMCs: 644 mRNAs (384 upregulated, 260 downregulated), 326 miRNAs (223 upregulated, 103 downregulated), 221 lncRNAs (79 upregulated, 142 downregulated), and 31 circRNAs (21 upregulated, 10 downregulated). We drew ceRNA signalling networks made up of the differentially expressed mRNAs/miRNAs/lncRNAs/circRNAs mentioned above, and the hub genes included IRF5, IFNAR2, TLR7, IRAK4, STAT1, STAT2, C2, and Tyk2. These hub genes were involved in ceRNA signalling pathways, such as the IL-17 signalling pathway and type I interferon signalling pathway. Conclusions We explored the differential expression profiles of various kinds of ceRNAs and integrated signalling networks constructed by ceRNAs. Our findings offer new insights into the pathogenesis of SLE and hint at therapeutic strategies.

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