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 JiangleiChen HuaqiuWang Guangming*   

  1. 1.Clinical CollegeDali UniversityDaliYunnan 671000, China2.Gene Testing CenterThe First Affiliated Hospital of Dali UniversityDaliYunnan 671000China

  • 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〔201957号);云南省妇产科学研究生导师团队项目(云学位〔201916号)

Abstract:

AbstractObjectiveTo construct the gene expression subgroups in systemic lupus erythematosus by bioinformatics. MethodsThe microarray data sets of GSE121239GSE65391 and GSE154851 were downloaded from GEO database. R software was used to eliminate batch processing effectcluster consensus grouping and analyze clinical characteristics. PPI network map of proteins expressed by specific genes was constructed by using the STRING websitegenes corresponding to pivotal genes were screenedfollowed by GO analysis and KEGG signal pathway analysis. Results1 254 SLE samples and healthy control samples were obtained. PPI network analysis showed that the proteins with the wost nodes were STAT3TLR4BRIX1 and TLR2. KEGG pathway enrichment analysis showed that differentially expressed genes were significantly enriched in natural killer cell-mediated cytotoxicityribosomemitophagyapoptosisplatelet activationhematopoietic cell lineageosteoclast differentiationinfluenza A and other aspects. ConclusionSystemic lupus erythematosus patients were divided into 3 gene subgroupswhich can provide a potential basis for the diagnosisclassification 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: