Journal of Dali University ›› 2022, Vol. 7 ›› Issue (10): 60-67.

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Construction of the Gene Expression Subgroups in Patients with Systemic Lupus Erythematosus by Bioinformatics

Ma Jianglei,Chen Huaqiu,Wang Guangming*   

  1. (1.Clinical College,Dali University,Dali,Yunnan 671000, China;2.Gene Testing Center, The First Affiliated Hospital of Dali University,Dali,Yunnan 671000,China)

  • Received:2022-04-28 Revised:2022-05-10 Online:2022-10-15 Published:2022-11-15
  • Supported by:

    云南省卫计委医学学科带头人项目(D-2017057);云南省高校生殖健康研究重点实验室项目(云教发〔2019〕57号);云南省妇产科学研究生导师团队项目(云学位〔2019〕16号)

Abstract:

〔Abstract〕 Objective:To construct the gene expression subgroups in systemic lupus erythematosus by bioinformatics. Methods: The microarray data sets of GSE121239, GSE65391 and GSE154851 were downloaded from GEO database. R software was used to eliminate batch processing effect, cluster consensus grouping and analyze clinical characteristics. PPI network map of proteins expressed by specific genes was constructed by using the STRING website; genes corresponding to pivotal genes were screened, followed by GO analysis and KEGG signal pathway analysis. Results: 1 254 SLE samples and healthy control samples were obtained. PPI network analysis showed that the proteins with the wost nodes were STAT3, TLR4, BRIX1 and TLR2. KEGG pathway enrichment analysis showed that differentially expressed genes were significantly enriched in natural killer cell-mediated cytotoxicity, ribosome, mitophagy, apoptosis, platelet activation, hematopoietic cell lineage, osteoclast differentiation, influenza A and other aspects. Conclusion: Systemic lupus erythematosus patients were divided into 3 gene subgroups, which can provide a potential basis for the diagnosis, classification and individualized treatment of the disease.

Key words:

"> font-size:10.5pt, ">GEO database, bioinformatics, systemic lupus erythematosus, gene expression subgroups, differentially expressed gene

CLC Number: