[1]王雪春,徐榕莉,郑秀琼.妊娠期糖尿病相关差异表达基因的生物信息学分析[J].福建医药杂志,2022,44(02):6-10.
　WANG Xuechun,XV Rongli,ZHENG Xiuqiong.Bioinformation analysis of gestational diabetes mellitus-related differentially expressed genes[J].FUJIAN MEDICAL JOURNAL,2022,44(02):6-10.
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妊娠期糖尿病相关差异表达基因的生物信息学分析()
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《福建医药杂志》[ISSN:1002-2600/CN:35-1071/R]

卷:
44
期数:
2022年02期
页码:
6-10
栏目:
临床研究
出版日期:
2022-04-15

文章信息/Info

Title:
Bioinformation analysis of gestational diabetes mellitus-related differentially expressed genes
文章编号:
1002-2600(2022)02-0006-05
作者:
王雪春; 徐榕莉1; 郑秀琼
福建省妇幼保健院产科(福州 350001)
Author(s):
WANG Xuechun;  XV Rongli;  ZHENG Xiuqiong
Department of Obstetrics, Fujian Maternity and Child Health Hospital, Fuzhou, Fujian 350001, China
关键词:
妊娠期糖尿病;  差异基因;  生物信息学
Keywords:
gestational diabetes mellitus;  different genes;  bioinformatics
分类号:
R714.253
文献标志码:
B
摘要:
目的 探讨妊娠期糖尿病(GDM)表达差异基因的功能及信号通路生物信息学分析。 方法 从GEO数据库下载基因芯片数据(GSE65737,GSE70493和GSE92772),用R语言软件Limma包,以P<0.05,|Log10FC|≥1或≥2标准筛选差异显著基因,并用ggplot包绘制图。应用基因本体论(GO)和京都基因与基因组百科全书(KEGG)进行差异基因功能分析,并使用Cytoscape进行文献共线分析。 结果 GSE65737,GSE70493和GSE92772分别筛选到588,3,445个差异显著基因。GSE70493与GSE92772筛选到48个共同的GO富集,主要富集于细胞体内平衡,细胞代谢,囊泡转运,免疫应激反应等。文献共线分析得到7个可能同GDM相关的候选基因。结论 基因IL1B、ICAM1、NLRP3、CXCL10、SOCS3、IRF3、IRF7可能与GDM发病进展密切相关,为GDM靶向药物的开发提供潜在靶点。
Abstract:
Objective Exploration of the function and signal pathway of different expression genes(DEGs)from gestational diabetes mellitus(GDM)by bioinformatics analysis.Methods Three gene chips(GSE65737, GSE70493 and GSE92772)were obtained from Gene Expression Omnibus(GEO).Limma package of R language software was used for screening DEGs based on the criterion of P<0.05 and |Log10FC|≥1 or ≥2.Gene ontology and KEGG were used for analyzing the DEGs, the results as well as the co-liner of literatures were analyzed by ggplot package and Cytoscape software.Results Several DEGs including 588, 3, 445 were respectively screened from GSE65737, GSE70493 and GSE92772, and 48 co-terms of GO were enriched from GSE70493 and GSE92772, which were mainly enriched in homeostasis and metabolite of cells, vesicular transport and immunological stress.Seven candidate genes were found to be connected with GDM by co-liner analysis of literatures.Conclusion Genes IL1B,ICAM1,NLRP3,CXCL10,SOCS3,IRF3 and IRF7 may be closely linked to GDM, which could be the potential targets for drug discovery.

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备注/Memo

备注/Memo:
基金项目:2018年福建省妇幼保健院科技创新启动基金资助项目(YCXZ 18-20)
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更新日期/Last Update: 2022-04-15