首页|生物信息学方法筛选IL-3和IL-3+SCF诱导的小鼠骨髓来源肥大细胞的差异表达基因及相关信号通路分析

生物信息学方法筛选IL-3和IL-3+SCF诱导的小鼠骨髓来源肥大细胞的差异表达基因及相关信号通路分析

Screening of IL-3 and IL-3+SCF Induce Differentially Expressed Genes and Signaling Pathways in Bone Marrow-derived Mast Cells Based on Bioinformatics

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目的 通过生物信息学方法分析IL-3和IL-3+干细胞因子(stem cell factor,SCF)诱导的小鼠骨髓来源肥大细胞(bone marrow-derived mast cells,BMMCs)的差异表达基因及相关信号通路,为肥大细胞(mast cell,MC)的体外培养和功能学研究提供基础.方法 从GEO数据库下载IL-3和IL-3+SCF诱导的BMMCs的基因表达数据集GSE35332,采用R软件分析差异表达基因(differentially expressed genes,DEGs),使用在线工具DAVID数据库对DEGs进行基因本体论(gene ontology,GO)和京都基因与基因组百科全书KEGG(Kyoto encyclopedia of genes and genomes,KEGG)功能富集分析.采用STRING在线软件分析DEGs的蛋白相互网络.通过Cytoscape软件的MCODE插件筛选枢纽基因.结果 通过R软件分析数据集GSE35332,共筛选出1 339个DEGs,其中上调基因723个,下调基因616个.通过Cytoscape软件的MCODE插件共筛选出6个枢纽基因,分别为Psmd8,Psmd6,Psmd14,Psmc4,Psma6和Psma3.GO和KEGG分析显示枢纽基因主要集中在蛋白质水解、MHC I类分子呈递的抗原提呈和加工、泛素依赖性蛋白质分解代谢过程及Epstein-Barr病毒感染等相关通路.结论 本研究基于GEO数据库通过生物信息学方法,发现两种模式下诱导的小鼠BMMCs基因表达谱存在明显差异,同时发现6个枢纽基因参与泛素依赖性蛋白分解过程,为更深入研究MC体外培养和功能提供帮助.
Objective To identify the differentially expressed genes and pathways of bone marrow-derived mast cells(BMMCs)of mice induced by IL-3 and IL-3+stem cell factor(SCF)using bioinformatics analysis,which may provide a foundation for in vitro culture and functional study of mast cells(MC).Methods The matrix data of GSE35332 dataset in IL-3 and IL-3+SCF induced BMMCs was downloaded from the GEO database,and the R software was applied to screen differentially expressed genes(DEGs).The gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis of EDGs were performed based on the online tool DAVID database.The protein interaction network was constructed by STRING database and hub genes were screened through MCODE plugin of the Cytoscape software.Results The GSE35332 data set was analyzed by R software,and 1 339 DEGs were screened,including 723 up-regulated genes and 616 down-regulated genes.A total of 6 hub genes were screened through the MCODE plugin of Cytoscape software,namely Psmd8,Psmd6,Psmd14,Psmc4,Psma6 and Psma3.GO and KEGG analysis showed that the hub genes were concentrated in proteolysis,antigen processing and presentation of exogenous peptide antigen via MHC class I,proteasome-mediated ubiquitin-dependent protein catabolism process,and Epstein-Barr virus infection.Conclusion This study found that there were significant differences in BMMCs gene expression profiles in mice induced by two modes and 6 hub genes participated in ubiquitin-dependent protein decomposition process through bioinformatics based on the GEO database,providing help for further research on MC vitro culture and function.

mast cellsstem cell factordifferentially expressed genesbioinformatics

曹君、金婕妤、张胜、乔龙威、梁玉婷

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苏州大学附属第一医院临床检测中心,江苏苏州 215006

南京医科大学附属苏州市立医院生殖与遗传中心,江苏苏州 215000

肥大细胞 干细胞因子 差异表达基因 生物信息学

国家自然科学基金国家自然科学基金

8190163282001576

2024

现代检验医学杂志
陕西省临床检验中心,陕西省人民医院

现代检验医学杂志

CSTPCD
影响因子:0.713
ISSN:1671-7414
年,卷(期):2024.39(1)
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